Characteristics of aerosol particles from corona discharge ammonia radical injection desulphurizatio
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摘要太赫兹波在电磁波谱中位于微波和红外波之间,具有瞬态性、宽带性、低能量性、透射性等优点,在分子光谱、生物医学、空间通信、大气遥感和雷达探测等领域有广阔的应用前景。
太赫兹波在大气中的传输特性是太赫兹波空间应用的基础,研究不同温度、湿度、大气压强和海拔高度等条件下太赫兹波的大气衰减系数,找到透过率窗口的位置和宽度对于促进该频段在空间中的应用具有重要意义。
本文的研究内容可以归纳如下:1、介绍了太赫兹波的空间应用以及研究太赫兹波大气传输特性的重要性,并综述了太赫兹波大气传输特性的国内外发展历史和研究现状。
2、根据HITRAN数据库中的光谱参数,用逐线计算方法计算了水蒸气和氧气的谱线吸收,用MT_CKD模型计算了水蒸气的连续吸收。
考虑到气温、气压和相对湿度对吸收系数的影响,比较了0~8 THz 的太赫兹波的吸收系数随这三个因素的变化,并给出了大气窗口的频率。
通过对不同海拔高度的吸收系数进行计算,分析了高频太赫兹波在高空尤其是平流层中远距离传输的可行性。
3、根据米氏散射理论对气溶胶粒子的散射特性参数进行计算,以此为基础在高能见度天气中计算太赫兹波的单次散射衰减,在低能见度天气中用蒙特卡罗法解决多次散射问题。
并且分析了我国海雾和内陆雾以及塔克拉玛干沙漠和毛乌素沙漠中太赫兹波的衰减、散射、透过率情况。
4、在实验室环境下用远红外傅里叶光谱仪(FTIR)搭建了太赫兹波大气传输特性实验平台,测量了不同压强和湿度条件下0.5 THz~7.5 THz 频段的太赫兹波传输2.3 m的透过率,用比尔-朗伯定律反推大气吸收系数,实验结果与理论计算结果吻合得很好。
关键词:太赫兹波,吸收系数,蒙特卡罗法,FTIRABSTRACTTerahertz (THz) spectral range which falls between microwave and infrared, has many advantages, such as transient, broadband, low photon energy and transmission. And THz wave can be widely applied in spectroscopy, biomedical science, free-space based communication, remote sensing, radar and so on. The transmission characteristics of THz wave is the basis of THz free-space applications. To research THz atmospheric attenuation coefficients under different conditions (e.g. temperature, relative humidity, pressure, altitude etc ) and to find the locations and widths of atmospheric transmission windows will be important for THz free-space applications.The main contents of this dissertation are as follows:1. THz free-space applications, and the importance of research on terahertz atmospheric transmission characteristics are introduced. The development and present developing status of this problem are also summarized.2. Line absorption of water vapor and oxygen is calculated based on line-by-line calculations and the spectral parameters in HITRAN database. And water vapor continuum absorption is calculated based on MT_CKD model. Considering temperature, pressure and relative humidity, broadband THz atmospheric transmission characteristics from 0 to 8 THz is theoretically simulated. Atmospheric transmission windows in this range are also given. Based on absorption coefficients in different altitudes, the high frequency atmospheric windows are evaluated and the feasibility for long-range applications is estimated.3. The scattering characteristics of air aerosol are calculated based on Mie theory. According to these results, terahertz attenuation characteristics are studied for single scattering of particles in high-visibility environment and multiple scattering in low-visibility environment using Monte-Carlo method. Terahertz attenuation coefficients, scattering characteristics and transmittance are analyzed in real environment including sea fog, inland fog, Taklimakan Desert and Mu Us Desert.4. An experimental system is built based on a Fourier transform infrared spectrometer (FTIR) in laboratory. Considering the influence of water concentrationand pressure, the terahertz transmission is measured from 0.5~7.5 THz with 2.3-m path length. The absorption coefficients are calculated according to Beer-Lambert Law, which are consistent with calculation results.KEY WORDS:THz Wave, Absorption Coefficients, Monte-Carlo, FTIR目录摘要 (I)ABSTRACT ................................................................................................................. I I 第1章绪论 .. (1)1.1 太赫兹波简介 (1)1.1.1 太赫兹波的特点 (1)1.1.2 太赫兹波的空间应用及大气传输特性研究的意义 (2)1.2 国内外研究进展 (4)1.2.1 太赫兹波大气吸收特性的研究进展 (4)1.2.2 太赫兹波大气散射特性的研究进展 (7)1.3 本文主要内容 (8)第2章宽频段太赫兹波的大气吸收 (9)2.1 大气分子的选择吸收 (9)2.1.1 大气分子光谱 (9)2.1.2 谱线的增宽 (10)2.1.3 吸收系数和透过率 (10)2.2 大气分子光谱参数数据库——HITRAN (11)2.2.1 HITRAN数据库中的光谱参数 (11)2.2.2 光谱参数随温度和压强的变化 (12)2.2.3 吸收系数的计算 (13)2.3 主要大气成分对太赫兹波的吸收 (13)2.3.1 水蒸气和氧气的太赫兹吸收谱 (13)2.3.2 连续吸收 (15)2.3.3 吸收系数随温度、大气压强、相对湿度的变化情况 (17)2.4 不同海拔高度太赫兹波的传输衰减 (21)2.4.1 大气的物理概况 (21)2.4.2 大气吸收系数和太赫兹波透过率随海拔高度的变化 (22)2.4.3 太赫兹波垂直入射时的透过率 (25)2.5 本章小结 (26)第3章太赫兹波在复杂大气背景下的散射特性 (27)3.1 单个球形粒子的散射理论 (27)3.1.1 散射过程 (28)3.1.2 米散射理论 (29)3.2 单次散射理论 (30)3.3 多次散射的处理——蒙特卡罗法 (31)3.4 太赫兹波在雾中的散射特性 (33)3.4.1 雾的物理特性 (33)3.4.2 太赫兹波在雾中的单次散射 (35)3.4.3 太赫兹波在低能见度雾中的多次散射 (37)3.5 太赫兹波在风沙天气中的散射特性 (39)3.5.1 我国沙漠地区中沙尘的物理特性 (39)3.5.2 太赫兹波在扬沙天气中的单次散射 (41)3.5.3 太赫兹波在沙尘暴天气中的多次散射 (43)3.6 本章小结 (45)第4章太赫兹波大气传输特性实验 (47)4.1 太赫兹波大气传输特性实验平台设计 (47)4.2 实验结果与分析 (49)4.2.1 实验中湿度和压强对太赫兹波透过率的影响 (49)4.2.2 实验与理论计算结果比较分析 (51)4.2.3 存在问题及建议 (52)4.3 本章小结 (53)第5章总结与展望 (55)参考文献 (57)发表论文和参加科研情况说明 (63)致谢 (65)第1章绪论1.1 太赫兹波简介太赫兹波的频率范围是0.1 THz~10 THz(波长3mm~ 30μm),在电磁波谱中介于微波和红外波之间,如图1-1所示。
英文回答:Pressure aerosols are a widely used process in the field of water treatment, mainly in the areas of sewage treatment plants, industrial wastewater treatment and drinking water treatment. In the case of sewage treatment plants, pressure soluble aerosols aremonly used to treat wastewater with higher suspension content, which can effectively remove suspensions and floating substances from wastewater and increase the efficiency of wastewater treatment by pressuring solvents and aerosols. In industrial wastewater treatment, this technology can effectively treat industrial wastewater containing more contaminants such as grease and suspension, and remove pollutants through aerosols to meet emission standards. In the treatment of drinking water, pressure soluble aerosols can be used to remove the obscenity of water, improve water transparency, improve water quality and ensure safe drinking water for people. Pressure aerosols are applied to sewage treatment, industrial wastewater treatment and potable water treatment that require the removal of suspended substances from water.压力溶气气浮法是一项在水处理领域中被广泛采用的工艺,其主要应用于污水处理厂、工业废水处理和饮用水处理等领域。
第 54 卷第 4 期2023 年 4 月中南大学学报(自然科学版)Journal of Central South University (Science and Technology)V ol.54 No.4Apr. 2023离散颗粒抑制热喷流红外辐射的大涡模拟胡峰1,孙文静1, 2,张靖周1,单勇1(1. 南京航空航天大学 能源与动力学院,江苏 南京,210016;2. 中国航天科工飞航技术研究院 北京动力机械研究所,北京,100074)摘要:为了探究气溶胶离散颗粒对飞行器排气喷管热喷流3~5 μm 波段的红外辐射的抑制效果,设计地面状态下气溶胶颗粒投射的仿真环境,采用大涡模拟和颗粒离散相模型对含气溶胶颗粒的飞行器排气喷管尾部气固两相剪切流进行数值模拟研究,系统地分析颗粒的质量流量、粒径和喷射速度对离散颗粒空间分布形态以及热喷流红外辐射抑制的影响规律。
研究结果表明:颗粒的质量流量和粒径对于红外抑制效率的影响较为明显,增加颗粒质量流量对颗粒的空间分布形态影响较小,但能够显著提升红外抑制效率;当颗粒粒径大于1.0 μm 时,颗粒空间分布均匀,红外抑制效率最高;颗粒的喷射速度对于颗粒的空间分布以及红外抑制效率的影响较小。
关键词:红外抑制;高速剪切流;大涡模拟;气溶胶颗粒分布;气固相互作用中图分类号:V231.1 文献标志码:A 开放科学(资源服务)标识码(OSID)文章编号:1672-7207(2023)04-1576-16Large eddy simulation of discrete particles suppressing infraredradiation from thermal jetsHU Feng 1, SUN Wenjing 1, 2, ZHANG Jingzhou 1, SHAN Yong 1(1. College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. Beijing Power Machinery Institute, China Aerospace Institute of Science and Technology, Beijing 100074, China)Abstract: To investigate the effect of aerosol discrete particles on the infrared radiation suppression in the 3~5 μm band of thermal jets of aircraft exhaust nozzles, the simulation environment of aerosol particle projection under ground conditions was designed. The large eddy simulation(LES) and particle discrete phase model(DPM) were used to numerically simulate the gas-solid two-phase shear flow at the tail of the aircraft exhaust nozzle containing aerosol particles, and the effect law of particle mass flow, size and jet speed on the spatial distribution of discreteparticles and the suppression of infrared radiation of thermal jets was systematically analyzed. The results show收稿日期: 2022 −05 −14; 修回日期: 2022 −07 −23基金项目(Foundation item):中国博士后科学基金特别资助(站前)项目(2020TQ0143);江苏省自然科学基金青年基金资助项目(BK20200448) (Project(2020TQ0143) supported by the Postdoctoral Science Foundation of China; Project(BK20200448) supported by the Youth Fund of Jiangsu Natural Science Foundation)通信作者:孙文静,博士,讲师,从事气固两相湍流、湍流燃烧、流动强化传热研究;E-mail :**************.cnDOI: 10.11817/j.issn.1672-7207.2023.04.033引用格式: 胡峰, 孙文静, 张靖周, 等. 离散颗粒抑制热喷流红外辐射的大涡模拟[J]. 中南大学学报(自然科学版), 2023, 54(4): 1576−1591.Citation: HU Feng, SUN Wenjing, ZHANG Jingzhou, et al. Large eddy simulation of discrete particles suppressing infrared radiation from thermal jets[J]. Journal of Central South University(Science and Technology), 2023, 54(4): 1576−1591.第 4 期胡峰,等:离散颗粒抑制热喷流红外辐射的大涡模拟that the effect of particle mass flow and size on infrared radiation suppression rate is obvious. With the increase of particle mass flow, its effect on the spatial distribution of particles is small, but the infrared suppression efficiency is significantly improved. When the particle diameter is 1.0 μm, the particle space distribution is uniform and the highest infrared suppression rate is achieved. However, the particle injection speed has less effect on the spatial distribution of particles and infrared radiation suppression efficiency.Key words: infrared suppressing; high-speed shear flow; large eddy simulation; aerosol particle distribution; gas-solid interactions气溶胶红外隐身技术是一种主动型应急红外对抗技术,该技术利用附加的机载引气装置,将细微颗粒喷射在发动机热喷流周围形成气溶胶云,借此对排气喷管热内腔和热喷流的强红外辐射进行遮蔽和散射。
V ol.20 No.3 JOURNAL OF TROPICAL METEOROLOGY September 2014Article ID: 1006-8775(2014) 03-0242-09EFFECTS OF AEROSOLS ON AUTUMN PRECIPITATION OVERMID-EASTERN CHINACHEN Si-yu ( )1, HUANG Jian-ping ( )1, QIAN Yun ( )2, GE Jin-ming ( )1,SU Jing ( )1(1. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Lanzhou 730000 China; 2. Atmospheric Science and Global Change Division, Pacific Northwest NationalLaboratory, Richland, WA, USA) Abstract: Long-term observational data indicated a decreasing trend for the amount of autumn precipitation (i.e. 54.3 mm per decade) over Mid-Eastern China, especially after the 1980s (~ 5.6% per decade). To examine the cause of the decreasing trend, the mechanisms associated with the change of autumn precipitation were investigated from the perspective of water vapor transportation, atmospheric stability and cloud microphysics. Results show that the decrease of convective available potential energy (i.e. 12.81 J kg -1/ decade) and change of cloud microphysics, which were closely related to the increase of aerosol loading during the past twenty years, were the two primary factors responsible for the decrease of autumn precipitation. Our results showed that increased aerosol could enhance the atmospheric stability thus weaken the convection. Meanwhile, more aerosols also led to a significant decline of raindrop concentration and to a delay of raindrop formation because of smaller size of cloud droplets. Thus, increased aerosols produced by air pollution could be one of the major reasons for the decrease of autumn precipitation. Furthermore, we found that the aerosol effects on precipitation in autumn was more significant than in other seasons, partly due to relatively more stable synoptic systems in autumn. The impact of large-scale circulation dominant in autumn and the dynamic influence on precipitation was more important than the thermodynamic activity. Key words: aerosol; autumn precipitation; atmospheric stability; cloud microphysical properties CLC number: X513 Document code: AReceived 2013-05-16; Revised 2014-05-06; Accepted 2014-07-15Foundation item: National Basic Research Program of China (2012CB955301)Biography: CHEN Si-yu, Ph.D., Lecturer, primarily undertaking research on climate change and atmospheric remote-sensing.Corresponding author: HUANG Jian-ping, e-mail: hjp@1 INTRODUCTIONPrecipitation is a key physical process that links many aspects of climate, weather and the hydrological cycle, which have significant impacts on agricultural production, aviation, marine, transportation, water conservancy construction, floods and droughts, etc.[1]. Previous studies mainly focused on the precipitation change during summer at both global and regional scales such as China [2-5]. However, the change of autumn precipitation will directly affect agricultural production in the coming year. In addition, autumn precipitation anomaly could also have potential effects on winter precipitation in the current year and summer precipitation in the following year, resulting in floods, droughts and other disasters [6]. In order to comprehensively understand the climate change and its effects, more emphasis is needed on autumn precipitation. So far, very few studies have investigated the spatial-temporal variations of autumn precipitation. Xu and Lin [7] analyzed autumn precipitation change characteristics and related physical mechanisms over Western China. Li et al.[8] investigated the spatial and temporal variations of spring temperature anomalies over Western China and the correlation between the sea surface temperature anomalies (SSTA) of the North Pacific and the spring rainfall anomalies in Western China for the period of 1960 1994. In addition, Li et al.[9, 10] analyzed the autumn rainfall anomaly over Northwest China and investigated the circulation variations during the El Niño/La Niña periods. Their results showed good relationship between the SSTA over East Equatorial Pacific and the autumn rainfall anomaly over the Northwest China. In El Niño years, relatively smaller amount of autumn precipitation was generated over the Northwest China whereas more autumn precipitation was generated in La Niña years. Song and Zhang [11] pointed out that the variability and trendNo.3 CHEN Si-yu ( ), HUANG Jian-ping ( ) et al. 243243of autumn precipitation are more significant than that in other seasons during the 20th century over the Northwest China. Zhang et al.[12] found that the change of general atmospheric circulation and the influence of ENSO events under global warming could be the direct factors in effecting the autumn precipitation generation over Northwest China. Shi [13] found a good relationship between precipitation anomaly in autumn and rainfall in the flood season of the following year. However, the above studies were limited only to the Northwest China region, with a focus on the interactions between autumn precipitation and natural climate variability (e.g., ENSO) at large scale. In this study, we investigated the causes of the autumn precipitation anomalies from the perspective of physical mechanisms influencing the precipitation change over Mid-Eastern China.Generally speaking, there are three dominant conditions for the formation of precipitation: (1) Horizontal transportation: water vapor is transported to the precipitation zones from source regions; (2) Convergence and upward movement: the strong upward motion is associated with the surface convergence over the precipitation regions. Water vapor condenses into cloud droplets or ice crystals in the adiabatic expansion during the lifting process. (3) Microphysical conditions with growth of the cloud droplets: The saturated air tends to condense on condensation nuclei and then water droplets grow, become heavier, and fall to the ground as precipitation [1]. Aerosol particles, which have close relationship with the last two points of conditions, are the dominant factors for the formation of precipitation [14-16]. Based on the observational data and modeling approach, Qian et al.[17] found a decreasing trend of light rain events over North America, Europe and Asia from 1973–2009, especially over East Asia, where a remarkable shift from light to heavy rain events has been observed. Besides, Qian et al.[18] pointed out that aerosols are at least partly responsible for the decreasing frequency and amount of light rain in summer over Eastern China. Huang et al.[19, 20] found that dust could heat cloud droplets, increase the evaporation of cloud droplets and further reduce the cloud water path, which may play an important role in cloud development and contribute to the reduction of precipitation over arid and semi-arid areas. Zhao et al.[21] also found a positive feedback mechanism between increased aerosol loadings and reduced precipitation over Mid-Eastern China. Based on 194 observation stations, Gong et al.[22] investigated the frequency change of daily precipitation in summer during 1979–2002 and found an obvious weekly cycle effects.Was the change of autumn precipitation over Mid-Eastern China related to the high aerosol loadings in autumn when the weather system isrelatively stable? How do aerosols affect autumn precipitation in heavily polluted China? What kinds of precipitation will be affected mostly by aerosol? In this study, we try to address these questions from the perspective of precipitation formation mechanism over Mid-Eastern China which is featured by the heavy pollution, dense meteorological station and records, and frequent precipitation events records [23]. The paper is organized as follows: Data and methodology are described in sections 2. The part of effects of aerosols on autumn precipitation over Mid-Eastern China is presented in section 3. Conclusions and discussions are presented in section 4.2 DATA AND METHODOLOGYThe following types of data are used in this study: (1) Daily observational data were obtained from China Meteorological Data Sharing Service System (/home.do). We screened all daily precipitation records from 1959 to 2008 over 503 observation stations and included them in our following analysis. It also should be noted that the drizzle being not recorded by precipitation instruments was used and assigned the value of 0 mm and only the liquid precipitation was considered in our study.(2) Visibility data were widely used to study the relationship between aerosol and precipitation, due to its relatively long historic records [24-26]. The variability of atmospheric visibility, which is a good measure of environmental pollution, is consistent with that of aerosol optical depth (AOD)[27]. The unit of visibility dataset changed from level (bins) to kilometer after 1980 in China, resulting in systematic discrepancies in data processing. Thus, only the visibility data after 1980 were used in this study and data was further revised by applying the Rosenfeld method [28] to reduce the effects induced by relative humidity and precipitation.(3) We collected the sounding data from Chinese international exchange stations, including the mean monthly air pressure, altitude, temperature, dew temperature and wind speed from January 1951. The dew temperature and air temperature from 28 observational stations were used to calculate the specific humidity, of which only the results under 300 hPa were considered for deducing the perceptible water vapor.(4) Aerosol optical depth, cloud fraction and cloud particle effective radius from Moderate Resolution Imaging Spectroradiometer (MODIS)[29, 30] were used in this study. The AOD at 550 nm as a proxy of aerosol loading was sorted into 10 bins at a regular interval of 0.1. Cloud microphysical and optical parameters for cloud optical depth are sorted244 Journal of Tropical Meteorology Vol.20244into individual AOD bins, of which mean values and standard errors (i.e., / (n 1)1 / 2, where and n are standard deviation and the number of data points, respectively) are then calculated. 3 RESULTS3.1 Change trends of precipitationFigure 1 shows the spatial distributions of trends for seasonal precipitation amounts during the past 50 years over Mid-Eastern China, estimated using the least squares technique. Decreasing trends of spring precipitation were mainly centered in the regions around the Yangtze River and Southeast China, with the largest decreasing trends (i.e. from –2%/decade to –8%/decade) over the Loess Plateau region. Increasing trends of spring mean precipitation were mainly found over the Northeastern China, Beijing, Tianjin, North China Plain, Yunnan-Guizhou Plateau and Tibet Plateau. The decreasing trends for summer precipitation are larger (i.e. from –1%/decade to –5%/decade) than for spring over Northeast China, Beijing, Tianjin, Shandong Peninsula and Loess Plateau. Positive change trends of summer mean precipitation were found over Southern China, with the largest increasing trends (from 1%/decade to 10%/decade) over the Yangtze River Plain. The trends for winter mean precipitation were generally positive over China, except for Beijing, Tianjin and Inner Mongolia. The decreasing trends of precipitation in autumn were distributed more broadly and homogeneously than that in other seasons. Significant decreasing trends of autumn mean precipitation were found over the Yangtze River Plain, Sichuan Plateau, North China Plain and Yunnan-Guizhou Plateau. As a whole, lower amount of precipitation was generated over the Mid-Eastern China, especially over Northeast China, Central China and South China.Figure 1. Spatial distribution of the trend (% per decade) of precipitation in (a) spring (b) summer (c) autumn (d) winter precipitation amount from 1959 to 2008.Figure 2 shows the temporal variation of seasonal mean precipitation averaged for all observationalNo.3 CHEN Si-yu ( ), HUANG Jian-ping ( ) et al. 245245stations in the Mid-Eastern China. Increasing trends of precipitation were found for summer and winter whereas decreasing trends were found for spring and autumn. The trend of autumn mean precipitation was more significant over Yangtze-Delta region (i.e. –5.6%/decade) since 1980 and later on, contributed to the characteristic of autumn mean precipitation variations over Mid-Eastern China.Figure 2. Time series of precipitation anomaly (%) in spring, summer, autumn and winter from 1959 to 2008 averaged over Mid-Eastern China.3.2 Change trends of atmospheric water content Figure 3 shows the temporal variations of autumn atmospheric water content averaged over Mid-Eastern China during 1959–2002. The year of 1975 tends to be the turning point of atmospheric water content, indicating a transition from negative to positive trend. The lowest atmospheric water content during the past 50 years was found at the end of 1960s, while two peaks at the end of 1990s (i.e. 15%) and at the begging of the 21 century (25%) respectively. Most of the regions over Mid-Eastern China experienced a positive change trend of atmospheric water content, especially over Yangtze River, Southeast, Southwest and Northeast of China with an increase of 0.3–0.6 mm/decade generally. The least square method was applied to calculate the change trends of autumn mean precipitation during the past 50 years over Mid-Eastern China. Based on the above analysis, no evidences were found to support that the decreasing autumn precipitation trend over Mid-Eastern China was related to changes of the large-scale atmospheric water content. We believe other factors could play more important roles in influencing the autumn precipitation characteristics over Mid-Eastern China.246Journal of Tropical Meteorology Vol.20246Figure 3. Time series of autumn precipitable water anomaly (%) in autumn from 1959 to 2008 averaged over Mid-Eastern China. The dashed line represents the linear trend of precipitable water anomaly. The solid line represents the moving average of precipitable water.3.3 Effects of aerosols on precipitation3.3.1 S PATIAL VARIATION OF AOD AND VISIBILITYAerosols could directly and indirectly affect the radiation budgets of the earth system, with substantial effects on regional even global climate [31-36]. Thus, further analysis was done to demonstrate the role of aerosols on precipitation over Mid-Eastern China. Fig. 4 shows the spatial distribution of annual mean AOD derived from MODIS retrievals and visibilities from observational data in autumn. AOD values larger than 0.6 were found over the Sichuan Basin, Yellow River, the middle and lower reaches of Yangtze River. The spatial variations of annual mean AOD were also consistent with the findings of previous studies (Luo et al.[37], Wang et al.[38]). Visibility data also showed a consistent spatial pattern with that for AOD. It should be noted that the spatial distribution of visibility was of the opposite sign with that of AOD (i.e. larger AOD with smaller visibility), which gave more confidence to represent the characteristics of aerosol particles using visibility datasets.3.3.2 S VD ANALYSIS OF VISIBILITY AND PRECIPITATIONThe Singular Value Decomposition (SVD) analysis, a useful tool in demonstrating the spatial correlation of two atmospheric variables, has been widely used in various studies [39]. Autumn meanvisibility was treated as the left field whereas the autumn mean precipitation was treated as the right field. The coupling relationship between the anomalous distribution of autumn mean precipitation and the variation of visibility has been investigated using SVD analysis. It should be pointed out that only the simultaneous correlation was considered in this study due to the large spatial variation and short life period of aerosol particles.The variance contribution, cumulative variance and correlation coefficient for the first five SVD modes of singular vector were shown in Table 1. It was found that the first five pairs of singular vector contributed up to 75% of the total variance. Thus, they can be used to depict the coupling relationship of precipitation and visibility variations over Mid-Eastern China. The first mode of visibility and precipitation indicated a significant decrease of temporal coefficient (R =0.87, P <0.01). The heterogeneous correlation coefficient of the right field of the mode for visibility and precipitation was dominated by positive values, with negative correlation found over a few small regions. High positive correlation was found over Southeastern China and Northeastern China (17.5°–36°N, 105°–120°E), which was characterized by the significant coupling of the first mode. Thus, it can be inferred from the consistence of spatial variations between aerosol and precipitation that aerosol couldNo.3 CHEN Si-yu ( ), HUANG Jian-ping ( ) et al. 247247have large impacts on precipitation, with more aerosolloadings and lower precipitation.Figure 4. Spatial distribution of AOD retrievals from MODIS averaged for the autumns of 2002-2008 (a) and the corrected visibility for the autumns of 1959-2008 (b) over Mid-Eastern China.Table 1. The variance contribution, cumulative variance and correlation coefficient explained by the first five pairs (q =1, 2, 3, 4, 5) of singular vector in this study.Singular vector Variance contribution Cumulativevariance Correlation coefficient q =1 36.56% 36.56% 0.83 q =2 21.34% 58.19% 0.90 q =3 7.94% 66.13% 0.92 q =4 6.50% 72.63% 0.87 q =5 4.86%77.47%0.90By absorbing and scattering radiation, aerosols could alter regional atmospheric stability and vertical motions, and affect the large-scale circulation and hydrologic cycle with significant regional climate effects [40-43]. In addition, aerosol particles serve ascondensation nuclei for the formation of both cloud droplets and atmospheric ice particles, exerting large influence on the formation of precipitation [44-48]. With the rapid development of urbanization, pollutant emission has increased dramatically over Mid-Eastern China for the last few decades. Due to the production of more black carbon aerosols and sulfate aerosols, Mid-Eastern China became the unique experimental region for studying the impacts of aerosol on regional climate and hydrological cycle. Next, we try to focus on the effects of aerosol mechanisms on autumn precipitation from the perspective of atmospheric stability conditions and the cloud microphysical conditions.3.3.3 C HANGE TRENDS OF CONVECTIVE AVAILABLEPOTENTIAL ENERGY (CAPE), CONVECTIVE INHIBITION ENERGY AND REVISED VISIBILITYFigure 5 shows the temporal variations of CAPE, Convective Inhibition Energy (CIN) and revised visibility in autumn averaged over Mid-Eastern China during the past 50 years. High CAPE was accompanied by low CIN, suggesting an inverse correlation between CAPE and CIN. CIN increased by 28.67 J/kg per decade, while CAPE decreased by 12.81 J/Kg per decade. More specifically, air stability increased significantly after the 1980s, accompanied by the decrease of CIN by –2.1%/year and the increase of CAPE by 4.7%/year.A decreasing trend (i.e. –2.7%/year) was found for visibility variation, which was consistent with the trend of CAPE. Thus, it can be concluded that aerosols could suppress vertical motion of air and increase regional atmospheric stability, resulting in the decrease of autumn mean precipitation.3.3.4 R ELATIONSHIP BETWEEN AEROSOLS AND CLOUDEFFECTIVE PARTICLE RADIUSFigure 6 shows the comparison of autumn mean aerosol optical depth and cloud droplet effective radius under different cloud top temperature and liquid water path for 2002–2008. The solid line represents the relationship between aerosols and cloud effective particle radius when liquid water path exceeds 70 g m -2. A positive correlation between cloud droplet effective radius and liquid water path could be found when the magnitude of aerosol optical depth was lower than 0.2. Cloud droplet effective radius decreases quickly with the increase of aerosol optical depth, which is more significant with higher cloud top temperature. A decrease of cloud droplet effective radius (i.e. 5 m) was found with the increase of aerosol optical depth when cloud droplet effective radius exceeds 289 K. Thus, it can be inferred that more aerosols in autumn over Mid-Eastern China lead to smaller cloud droplet effective radius, which in turn decreases the conversion efficiency of cloud droplet into raindrop248 Journal of Tropical Meteorology Vol.20248and suppresses the formation of precipitation in autumn.Figure 5. The first SVD mode of the autumn visibility and autumn precipitation for the period 1980-2005. (a) The temporal coefficients of autumn visibility (solid line) and autumn precipitation (dash line); (b) The spatial pattern of heterogeneous correlation coefficient.From the perspective of precipitation formation mechanism, increased atmospheric stability and modified cloud microphysics could result in the decrease of autumn precipitation over Mid-Eastern China. Increased atmospheric stability induced by more aerosols may decrease the surface net radiation, inhibit the ascending motion of air and decrease the formation of precipitation. On the other hand, aerosols also change the characteristics of cloud microphysics by influencing the process of cloud condensation nucleus and lead to decreased precipitation. 4 CONCLUSIONS AND DISCUSSION In this study, the effects of aerosol on the autumn precipitation over Mid-Eastern China were investigated using ground observations, satellite retrievals and NCEP reanalysis dataset. Main conclusions are as follows.Precipitation decreased more significantly in autumn (i.e. 54.3 mm/decade) than in other seasons during the past 50 years over Mid-Eastern China. The decreasing trend of autumn precipitation was more significant after the 1980s, with an average decrease of 5.6% per year.From the perspective of precipitation formation mechanisms, water vapor, atmospheric stability and cloud microphysics could lead to the decrease of autumn precipitation. We found that the increased aerosols produced by enhanced industrialization and environmental pollution could result in the change of atmospheric stability and cloud microphysics, which were at least partly responsible for the decreased autumn precipitation observed over Mid-Eastern China for the past 20 years.The effects of aerosol on autumn precipitation were more outstanding than that on other seasons because the weather system in autumn was relatively stable compared to that in other seasons and the dynamical influence was greater than that of thermal dynamical activity. The wet removal of precipitation on aerosol was relatively small in autumn compared to that in summer, leading to the greater effects of aerosol on precipitation in autumn than in summer. Generally speaking, the high frequency of dust aerosol occurred in spring, which may be caused by relatively high frequency of convective weather outbreak and the dry loose soil. However, the impact of dynamical activity in spring also plays an important role in the spring precipitation change. Therefore it is hard to distinguish which factor is the most significant for precipitation change in spring. In winter, various types of precipitation could occur, including rain, snow and hail, leading to larger difficulty in detecting precipitation in winter than in other seasons. Furthermore, relatively more stable weather systems near the surface and the stable visibility could both lead to difficulty in studying the aerosol variations in winter. Thus, the precipitation change in winter was not considered in this study.In summary, the effects of aerosols on autumn precipitation change over Mid-Eastern China were demonstrated using observed datasets from the perspective of precipitation formation mechanisms. More efforts will be spent to study the physical interactions between precipitation change and aerosol variations.No.3 CHEN Si-yu ( ), HUANG Jian-ping ( ) et al. 249249Figure 6. Time series of convective available potential energy (dash line), convective inhibition energy (solid line) and revised visibility (red histogram) anomalies in autumn over Mid-Eastern China. The red line represents linear trend of revised visibility anomaly.Acknowledgement: We appreciate three anonymous reviewers for their valuable comments and suggestions. The contribution of PNNL in this research was supported by the Office of Science of the U.S. Department of Energy as part of the Regional & Global Climate Modeling (RGCM) Program through the bilateral agreement between U.S. Department of Energy and China Ministry of Science and Technology on regional climate research. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC06-76RLO 1830. And we also thank Dr. SHANG Ke-zheng, Dr. WANG Tian-he, SHAN Hai-xia and WANG Shan-shan from Lanzhou University for their help in this study.REFERENCES:[1] ZHU Qian-gen, LIN Jin-rui, SHOU Shao-wen, et al. The principle and method of Synoptic meteorology [M]. Beijing: China Meteorological Press, 2000: 458.[2] JIAN Mao-qiu, LUO Hui-bang, QIAO Yun-ting. Linkage between the interannual variation patterns of seasonal SST in Indian Ocean-Pacific and their relationship with the summer rainfall over China [J]. J. Trop. Meteor., 2006, 22(2): 131-137. [3] ZHANG Tian-Yu, SUN Zhao-bo, LI Zhong-Xian, et al. Relation between Spring Kuroshto SSTA and summer rainfall in China [J]. J. Trop. Meteor., 2007, 23(2): 189-195.[4] CHEN Shao-dong, WANG Qian-qian, QIAN Yong-pu. Preliminary discussions of basic climatic characteristics of precipitation during raining seasons in regions south of Changjiang River and its relationship with SST anomalies [J]. J. Trop. Meteor., 2003, 19(3): 260-268.[5] JIN Zu-hui, LUO Shao-hua. On the relationship between rainfall anomaly in middle and lower Yangtze valley during the Mei-Yu season and the anomaly of sea-surface temperature in South China Sea [J]. Acta Meteor. Sinica, 1986, 44(3): 360-372.[6] CHEN Yun, SHI Neng. Spatial and temporal distribution of autumn precipitation and temperature in China and climatic change [J]. J. Nanjing Instit. Meteor., 2003, 26(5): 662-630. [7] XU Gui-Yu, LIN Chun-Yu. Survey of the causes and features of autumn rain in Western China [J]. Sci. Meteor. Sinica, 1994, 12(4): 149-154.[8] LI Yao-hui, LI Dong-liang, ZHAO Qing-Yun. A study on spring rainfall anomaly in Northwest China and Pacific SSTA features in autumn and their correlations [J]. Plateau Meteor., 2000, 19(1): 100-110.[9] LI Yao-hui, LI Dong-liang, ZAHO Qing-yun. An analysis on characteristic of autumn rainfall anomaly in Northwest China [J]. Plateau Meteor., 2001, 20(2): 94-99.[10] LI Yao-hui, LI Dong-liang, ZHAO Qing-yun et al. Effect of ENSO on the autumn rainfall anomaly in northwest China [J]. Clim. Environ. Res., 2000, 25(2): 102-112.[11] SONG Lian-chun, ZHANG Cun-jie. Changing features of precipitation over Northwest China during the 20th century [J]. J. Glaciol. Geocry., 2003, 25(2): 143-147.[12] ZHANG Cun-jie, GAO Xue-jie, ZHAO Hong-yan. Impact of global warming on autumn precipitation in Northwest China [J]. J. Glaciol. Geocry., 2003, 25(2): 157-164.[13] SHI Neng. The temporal and spatial characteristics of monthly temperature and rainfall field during autumn and winter in China and their application in early summer precipitation forecasting [J]. Chin. J. Atmos. Sci., 1988, 12(3): 283-291.[14] HUANG J, MINNIS P, LIN B, et al. Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES [J]. Geophys. Res. Lett., 2006, 33, L06824, doi: 10.1029/2005GL024724.[15] CHEN Si-yu, HUANG Jian-ping, LIU Jin-jin, et al. Effects of dust aerosols on cloud in semi-arid regions as inferred from OMI and MODIS retrievals [J]. Adv. Ear. Sci., 2010, 25, doi: 1001-8166(2010) add- 0188-11.[16] HUANG J, MINNIS P, LINin B, et al. Advanced retrievals of multilayered cloud properties using multispectral。
火山喷发与寒冷天气的关系Medieval chronicles have given an international group of researchers a glimpse into the past to assess how historical volcanic eruptions affected the weather in Ireland up to 1500 years ago. By criticall y assessing over 40,000 written entries in the Irish Annals and comparing them with measurements taken from ice cores, the researchers successfully linked the climatic aftermath of volcanic eruptions to extreme cold weather events in Ireland over a 1200-year period from 431 to 1649.Their study, which has been published today, 6 June, in IOP Publishing's journal Environmental Research Letters, showed that over this timescale up to 48 explosive vo lcanic eruptions could be identified in the Greenland Ice Sheet Project (GISP2) ice-core, which records the deposition(沉积物) of volcanic sulf ate in annual layers of ice.Of these 48 volcanic events, 38 were associated, closely in time, with 37 extreme cold events, which were identified by systematically examining written entries in the Irish Annals a nd picking out directly observed meteorological phenomena and conditions, such as heavy snowfall and frost, prolonged ice covering lakes and rivers, and contemporary descriptions of abnormally cold weather.Lead author of the study, Dr Francis Ludlow, from the Harvard University Center for the Environment and Department of History, said: "It's clear that the scribes of the Iris h Annals were diligent reporters of severe cold weathe r, most probably because of the negative impacts this had on societ y and the biosphere."Our major result is that explosive volcanic eruptions are strongly, and persistently, implicated in the occurrence of cold weather events over this long times cale in Ireland. In their severity, these events are quite rare for the country's mild maritime climate."Through the injec tion of sulphur dioxide gas into the stratosphere, volcanic eruptions can play a significant role in the regulation of the Earth's climate. Sulphur dioxide gas is converted into sulphate(硫酸盐) aerosol particles after eruptions which reflect incoming sunlight and result in an overall temporary cooling of the Earth's surface.Whilst the global effects of recent eruptions are quite well-known, such as the Mount Pinatubo eruption almost 22 years ago (15 June 1991), less is known about their effects on climate before the beginning of instrum ental weather recording, or their effects on regional scales; the Irish Annals provided an opportunity to explore both of these issues.The Irish Annals contain over one million written words and around 40,000 dist i nct written entries, detailing major historical events on an annual basis, and providing both systematic and sustained reporting of meteorological extremes.。
南昌一次持续雾霾天气成因分析邹琳1,罗凝谊2,段志萍11、南昌市气象局江西南昌330038,2、眉山市气象局,四川眉山620020摘要:本文对气溶胶颗粒物的分布特征与气象因子在雾霾天气条件下的关系进行了分析。
并以2013年冬季的一次典型的雾霾持续过程为例进行相关性分析,利用气象观测数据、L波段雷达观测数据和Grimm180颗粒物检测仪观测数据进一步分析PM10、PM2.5、PM1.0颗粒物的演变特征、气象要素特征及此次雾霾过程的成因。
通过分析此次雾霾过程的数据表明,南昌地区1月下旬气温显著偏高,潮湿少雨,受高压天气系统控制,长时间近地面逆温层的稳定存在和近地面风速较小等影响,非常不利于大气污染物的扩散和清除,是造成这次持续雾霾天气过程的主要原因。
同时也验证了PM10、PM2.5、PM1.0与风速呈明显的负相关关系,即风速越大,颗粒物浓度越小;地面风向为E时,南昌出现霾的次数最多;PM10、PM2.5、PM1.0与能见度呈现明显的负相关性,即气溶胶颗粒物的浓度增加时,能见度明显降低;在未降水日PM10、PM2.5、PM1.0与相对湿度呈明显的正相关性;当产生降水时,降水对PM10、PM2.5、PM1.0的清除作用显著,PM10、PM2.5、PM1.0与相对湿度呈负相关性。
关键词:南昌气溶胶颗粒物雾霾气象要素Nanchang characteristics of fog and hazeZOU Lin1,LU Ningyi2,Duanzhiping111、Nanchang Meteorological Bureau,Jiangxi330046,2、Meishan Meteorological Bureau,Sichuan Meishan620020Abstract:The relation between the distribution characteristics of aerosol particulate matter(PM)and meteorological factors in hazy weather is also analyzed in this thesis.A typical continuing hazy weather in the winter of2013is taken as an example in correlation analysis. Furthermore,this thesis also further analyzes the characteristics of evolution and meteorological elements of PM10,PM2.5and PM1.0,and the causes of this hazy weather throµgh observation data of meteorology,L wave radar and GRIMMI180PM Detector.It is sµggested by the analysis of haze data that the temperature of Nanchang is significantly higher in the last ten days of January,and along with the moist and rainless weather,the control of high pressure 1课题项目:2013年江西省气象局局面上科研项目“江西主要城市灰霾天气气候特征及成因分析”;2013年度南昌市气象防灾减灾技术研发基金项目“南昌气溶胶颗粒物与气象条件的关系”。
Characterization of Aerosols and Atmospheric Parameters fromSpace-borne and Surface-based Remote SensingSi-Chee Tsay Yoram J. Kaufman301-286-9710 (voice), 286-1759 (fax)301-286-4866 (voice)e-mail: tsay@ e-mail:kaufman@ Brent N. Holben Michael D. Kingking@ e-mail: brent@ e-mail:NASA/Goddard Space Flight Center, Greenbelt, MD 20771LONG-TERM GOALThe long-term goal for this project is threefold: (i) to develop remote sensing procedures for determin-ing aerosol loading and optical properties over land and ocean, (ii) to use these properties for atmos-pheric corrections over coastal regions, and (iii) to assess what combination of hyperspectral informa-tion can lead to the best results.OBJECTIVESIn preparation for the era of hyperspectral sensors in remote sensing, we need to establish a climatology of aerosol properties and of spectral reflectance for land, ocean and coastal regions. These specific features will be used to develop aerosol remote sensing capability and in the future corrections of re-mote sensing data.APPROACHDuring FY98, we have pursued two projects on studying dust aerosols off the coast of Africa: one is the remote sensing of dust over land, and the other is the use of ground-based and space-borne instruments to characterize the dust properties. Although the Landsat TM has limited spectral capability between 0.47 and 2.1 µm, we plan to apply similar techniques to the hyperspectral AVIRIS data. These data were acquired over smoke regions in Brazil and urban pollution in the US, which were collocated with in situ and ground-based measurements. The application is expected to show rich spectral characteris-tics and possible improvement of the technique due to added-value of hyperspectral information. In ad-dition, we plan to compile existing measurements of spectral reflectance in the coastal regions (e.g., collaboration with Drs. Curtiss O. Davis and Bo-Cai Gao at the Naval Research Laboratory in analyzing hyperspectral measurements of ocean reflectance from navy ships) and to conduct airborne hyperspec-tral measurements (with NASA/Ames instrument) of ocean reflectance and marine aerosols, in support of ONR DUCK campaign (North Carolina, February-March 1999).WORK COMPLETEDThe method for remote sensing of smoke or sulfates over vegetated (dark) regions by Kaufman et al. (1997) is extended to include dust over the desert (bright surface). Now, this method can derive aero-sol properties in the blue (0.4-0.5 µm) and the red (0.6-0.7 µm) spectral regions. A paper was submit-Report Documentation Page Form ApprovedOMB No. 0704-0188Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.1. REPORT DATE1998 2. REPORT TYPE 3. DATES COVERED00-00-1998 to 00-00-19984. TITLE AND SUBTITLECharacterization of Aerosols and Atmospheric Parameters from Space-borne and Surface-based Remote Sensing 5a. CONTRACT NUMBER5b. GRANT NUMBER5c. PROGRAM ELEMENT NUMBER6. AUTHOR(S)5d. PROJECT NUMBER5e. TASK NUMBER5f. WORK UNIT NUMBER7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)NASA/Goddard Space Flight Center,Greenbelt,MD,207718. PERFORMING ORGANIZATION REPORT NUMBER9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)10. SPONSOR/MONITOR’S ACRONYM(S)11. SPONSOR/MONITOR’S REPORTNUMBER(S)12. DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited13. SUPPLEMENTARY NOTESSee also ADM002252.14. ABSTRACT15. SUBJECT TERMS16. SECURITY CLASSIFICATION OF:17. LIMITATION OFABSTRACTSame asReport (SAR)18. NUMBEROF PAGES419a. NAME OFRESPONSIBLE PERSONa. REPORT unclassifiedb. ABSTRACTunclassifiedc. THIS PAGEunclassifiedStandard Form 298 (Rev. 8-98)Prescribed by ANSI Std Z39-18ted to IEEE-TGARS on this subject. We also found that the absorption of solar radiation by dust, as ex-pressed by the single scattering albedo, is very different from those documented in the open literature.We have developed a technique, using both satellite spectral data and ground-based observations, to derive the dust particle size, single scattering albedo, and range of the refractive index. A paper was submitted to Nature on this subject.-0.500.511.522.53-0.500.51 1.52 2.53O 0.64O 0.64O 0.47O 0.47d e r i v e d a e r o s o l o p t i c a l t h i c k n e s saerosol optical thicknessr=0.96r=0.77correlationFigure 1: Scatter plot of the derived dust optical thickness and the optical thickness measured by the sunphotometer for the 0.64 µm and 0.47 µm Landsat TM spectral channels. The correlation’s are given for each spectral bands. The full symbols are for the average apparent reflectance derived from Landsat data in the vicinity of the sunphotometer and the open symbols for one standard de-viation above the average.RESULTSWe use an approach similar to remote sensing of aerosol over vegetated regions (e.g., a combination of visible and SWIR solar channels) to detect dust over the desert. Analysis of Landsat TM images over Senegal taken in 1987 shows that the surface reflectance at 0.64 µm is 0.54±0.05 of the reflectance at 2.1 µm, and reflectance at 0.47 µm is 0.26±0.03 of that at 2.1 µm. This relationship is surprisingly similar to those in non-desert sites. We also found that dusts have only small effects on the surface-atmosphere reflectance at 2.1 µm over the desert. Therefore, in the presence of dust, we use the Land-sat TM data at 2.1 µm channel to predict the surface reflectance at 0.64 and 0.47 µm. The difference between the satellite measured reflectance of surface-atmosphere and the predicted surface reflectance is used to derive the dust optical thickness at 0.64 and 0.47 µm. Results show that the optical thickness can be derived within ••=±0.5 for the range of 0<•<2.5 (cf . Fig. 1), thus enabling estimates of dust opacity over the desert. The method is very sensitive to the correct knowledge of the dust absorption,and is equally sensitive to dust loading in the entire atmospheric column. It is best applied in the red (~0.64 µm) spectral region where dust was found to be nonabsorbing.Figure 2: Remote sensing of the dustabsorption using Landsat data andground-based sunphotometer meas-urements. (A) Apparent reflectance atthe top of the atmosphere over the des-ert measured by Landsat TM (heavygray lines) for optical thickness of 0.8(dashed) and 2.4 (solid). The measure-ments are compared with calculations(thin black lines) for refractive indicesand effective radius given in the cap-tion. The apparent reflectance in-creased due to the presence of dust by~••=0.06 (for the central spectralrange of 0.55-1.6 µm), despite the highsurface reflectance of 0.2 to 0.4. Cal-culations for imaginary index of -0.004cannot explain this change in the ap-parent reflectance, indicating small orno absorption.(B) The spectral single scattering al-bedo, •o, for the two values of the ef-fective radius, that fits well with thechanges in the apparent reflectance inFig. 2A (•o=1 - non-absorbing dustand •o=0 - fully absorbing), as com-pared to •o values derived or used inthe open literature.(C) Apparent reflectance, as in Fig. 2Abut over the ocean, for the absorptionindicated in Fig. 2B and several valuesof real refractive index and effectiveradius. The real part of the refractiveindex is kept constant or decreasing to1.22 at2.1 µm. This figure shows agood closure for •<1 µm and, in turn,the refractive index of 1.22 at 2 µm isnot realistic (~1.46 should be used in-stead).Spectral observations of dust properties from the space and from the ground create a powerful tool for determining the absorption of solar radiation by dust with an unprecedented accuracy. Absorption is a key component in understanding the impact of dust on remote sensing and climate, mainly over the At-lantic Ocean. We use Landsat data at 0.47 to 2.1 µm over Senegal with ground-based sunphotometer measurements to find that the absorption of solar radiation by Saharan dust is two to four times smallerthan those documented in the open literature. Although dust absorbs in the blue, almost no absorption was found for wavelengths longer than 0.6 µm (cf. Fig. 2). Large scale application of this method to satellite data from the Earth Observing System can reduce significantly the uncertainty in the dust radia-tive properties, remote sensing from space and correction to derive the ocean properties.IMPACTRevisiting the dust models and generating remote sensing procedures of dust over land are the first step for an attempt for hyperspectral remote sensing of coastal regions, as well as correction for the dust ef-fect in these regions to derive the properties of the water and underwater surfaces.TRANSITIONSThe lower dust absorption may make it possible to distinguish from remote sensing between dust and chlorophyll absorption, and to develop methods to distinguish between the two using hyperspectral re-mote sensing. The next stage is to compare the spectral signal from dust and other aerosol types and the signal from chlorophyll. We plan to look into data sets already acquired by the Navy of the hyper-spectral properties of different waters.RELATED PROJECTSThis work is related to the NASA/MODIS effort of remote sensing of aerosol and their effect on cli-mate.PUBLICATIONSKaufman, Y. J., A. Karnieli and D. Tanré, 1998: Detection of dust over the desert by EOS-MODIS.submitted to IEEE-TGARS.Kaufman, Y. J., D. Tanré, A. Karnieli, and L. A. Remer, 1998: Dust absorption and radiative forcing derived from measured solar radiation. submitted to Nature.REFERENCESKaufman, Y. J. , D. Tanré, L. Remer, E. Vermote, A. Chu, and B. N. Holben, Remote sensing of tro-pospheric aerosol from EOS-MODIS over the land using dark targets and dynamic aerosol models, JGR-Atmosphere, special issue on Remote Sensing of Aerosol and Atmospheric Corrections, 102, 17051-17067, 1997.。
Journal of Membrane Science296(2007)1–8ReviewNanofibrousfiltering media:Filtration problemsand solutions from tiny materialsR.S.Barhate a,∗,Seeram Ramakrishna a,b,c,∗a Nanoscience and Nanotechnology Initiative,Faculty of Engineering,National University of Singapore,9Engineering Drive1,Singapore117576.Singaporeb Department of Mechanical Engineering,Faculty of Engineering,National University of Singapore,9Engineering Drive1,Singapore117576,Singaporec Dlivision of Bioengineering,Faculty of Engineering,National University of Singapore,9Engineering Drive1,Singapore117576,SingaporeReceived13February2007;accepted10March2007Available online24March2007AbstractNanotechnologists have discovered newfiltering media for effectivefiltrations.The nanofiber basedfiltering media,made up offibers of diameter ranging from100to1000nm,can be conveniently produced by electrospinning technique.This article addresses the current state of art infiltrations by using the nanofibrousfiltering media.Thesefiltering media are being surface modified to improve their spectrum and capture efficiency of filtration.The developmental objectives for improving the nanofiber basedfiltering media are lower energy consumption,longerfilter life,high filtration capacity and easier maintenance;which are elaborated from manufacturing point of view.Some practical constraints like pleating of thin,extremely low weight and delicate membranes are also discussed.Nanofibrousfiltering media could be used forfiltration of blood,water,air, beverages,gases,chemicals,oils,diesel and petrol,etc.©2007Elsevier B.V.All rights reserved.Keywords:Nanotechnology;Nanofilter;Nanofibers;Particulatefilter;Gasfilter;Microfiltration;Ultrafiltration;CoalescencefilterContents1.Introduction (2)1.1.Structural characteristics of nanofibrousfiltering media (2)2.History of production of nanofibrousfilter media (2)3.Noteworthy applications of nanofibrousfiltering media (3)3.1.Penetrating aerosol particulatefiltering media (3)3.2.High efficiency airfiltering media (3)3.3.Antimicrobial airfilter (4)3.4.Highflux ultrafiltration membrane (4)3.5.Coalescencefilter (4)3.6.Catalyticfilter (4)3.7.Affinityfilter for highly selective separations (4)3.8.Ion-exchangefiltering media (4)4.Techniques for preparation of nanofibrousfiltering media (5)4.1.Benefits from nanofibrousfiltering media (5)4.1.1.Pressure drop (5)4.1.2.Filtration efficiency (5)4.1.3.Surface area (6)∗Corresponding authors.Tel.:+6565162142;fax:+6567730339.E-mail addresses:nnibrs@.sg(R.S.Barhate),seeram@.sg(S.Ramakrishna).0376-7388/$–see front matter©2007Elsevier B.V.All rights reserved.doi:10.1016/j.memsci.2007.03.0382R.S.Barhate,S.Ramakrishna/Journal of Membrane Science296(2007)1–85.Developmental objectives while improving the nanofiber basedfiltering media (6)5.1.Specific surface area (6)5.2.Mechanical andfiltration properties (7)5.3.Surface modification and functionalization (7)6.Conclusions (7)Acknowledgements (7)References (7)1.IntroductionManufacturing and processing companies in food,pharma-ceuticals,biotechnology and semiconductor business require centralized air conditioning in production environment,high-purity water,clean gases and effluent/waste air and water treatment.The control over airborn and waterborn contaminants, hazardous biological agents,allergens and pollutants is a key issue in food,pharmaceuticals and biotechnology processes.The particle size of particulate matter is determined by the process that generates the particles.For instance,combustion particles are usually in the10–50nm size range,but when they combine with other particles and agglomerate form larger particulates. The agglomerate particles may be broken down into smaller particles and release into air.It is difficult to break down such particles smaller than0.5m[1].The existing high efficiency airfilters effectivelyfilter particles of0.3m and above.How-ever,they are not sufficient forfiltration of smaller pathogenic agents like viruses.Air and water are the bulk transportation medium for trans-mission of particulate contaminants.The contaminants during airfiltration are complex mixtures of particles.The most of them are usually smaller than1000m in diameter.Chemical and biological aerosols(particulates)are frequently in the range of1–10m.The particulate matters may carry some adsorbed gaseous contaminants.The removal of particulate and biolog-ical contaminants is an important step in water purification process.Particulate contaminants if not removed tend to foul reverse osmosis membranes and severely reduce the throughput of thefinal purification step.Thefiltration industry is looking for energy efficient high performancefilters forfiltration of particles smaller than0.3m and adsorbed toxic gases.Nanofibrous media have low basis weight,high permeability and small pore size that make them appropriate for a wide range offiltration applications.In addition,nanofiber membrane offers unique properties like high specific surface area(ranging from1 to35m2/g depending on the diameter offibers),good intercon-nectivity of pores and potential to incorporate active chemistry or functionality on nanoscale.Therefore,nanofibrous membranes are extensively being studied for air and liquidfiltration.Scan-ning electron microscopic picture of nanofibrousfiltering media is shown in Fig.1.1.1.Structural characteristics of nanofibrousfilteringmediaa)thickness(&variation with location);b)fiber diameter(&distribution);c)representative pore size(&distribution);d)porosity;e)tortuosity factor(which is an indicator of geometry and inter-connectivity of pores).2.History of production of nanofibrousfilter mediaThefirst patent for production offibers from a solution jet introduced into electricfiled was issued in1902in the USA [2].The practical results in production of nanofibrous material from polymer solutions were also obtained by A.Formhals in Germany and patented in the USA in1934[3].In1936,I.V. Petryanov-Sokolov’s work offinefiber production in electro-staticfields has given the way for development of production of filter materials,these materials are known since then in Russia as FP(filters of Petryanov,which is now called as nanofibrous filter media)[4].The scientific activities related to production of Petryanovfilters was announced as the top secret because of this Petryanov’s research work never reached the Western Commu-nity[4].After Second World war,special emphasis was given to application of Petryanovfilter materials in nuclear energy technologies for protecting the environment from nuclear-active aerosol release[4].The most of research work on production of nanofibers was carried out at Karpov’s Scientific Research Institute of Physics and Chemistry(Moscow).By the end of the 1960s in the USSR there were5enterprises,producing materi-als of FP type and their modifications with the annual capacity of20million m2(600tonnes)[5].In1964in Sillamyae(Esto-nia)chemical plant was constructed with the largest facility for production of the nanofibrousfilter materials[5].Advances in electrospinning method allowed organization of theindustrial Fig.1.Scanning electron microscopic picture of nanofibrousfiltering media.R.S.Barhate,S.Ramakrishna/Journal of Membrane Science296(2007)1–83 Table1Enterprises in nanofiberfilter media businessS.N.Enterprises Country Address(accessed on15-03-2007) 1Donaldson Company A 2Espin Technologies A 3KX Industries USA 4Ahlstrom Corporation Finland 5Hollingsworth A 6US Global Nanospace USA 7Finetex Technology S.Korea www.fi8Helsa-automotive Germany 9Nanotechnics Co.Ltd.S.Korea 10Teijin Fibers Ltd.Japan www.teijinfi11Toray Japan 12Japan Vilene Company Ltd.Japan www.vilene.co.jp13Nanoval GmbH&Co.KG Germany www.nanoval.de14Hills A 15Nonwoven Technologies A asfabb@16Emergency Filtration products,A www.emergencyfi17Elmarco Czech Republic www.elmarco.cz18Hohns Manville Sales GmbH Germany 19Nanofiber Future Technologies Corp Canada 20Esfil Tehno Republic of Estonia www.esfiltehno.eeproduction of more than twenty types offiberfilter materials [6].In America,the production of nanofibrous materials gained momentum in1980with the efforts of“Donaldson”.In Europe, the commercial production offibers by electroforming method started in1990s by“Freudenberg”[5].A cursory search on internet has revealed that more than twenty enterprises are keep-ing interest in either production or use of nanofiberfilter media (Table1).A few prototype applications of nanofibrousfiltering materi-als are summarized in Table2.Table2Specialtyfiltration applications of nanofibrous mediaS.no.Filtering media Reference 1Airfiltering media for engine airfiltration,cabin airfiltration and self cleaning air intake for gas turbines[7]2Filter media for pulse clean cartridges in dustcollection[8]3Penetrating aerosol particulatefiltering media[9]4High efficiency airfiltering media[10]5Cigarettefilter forfiltration of smoke[11]6Adsorptive catalytic gasfilter for respirators[12]7Layer composite material for protective apparels[13]8Filtering media for catalytic cracking and hightemperaturefiltration[14]9Particulatefiltering media for liquidfiltration[15]10Highflux ultrafiltration media[16]11Water-in-oil emulsion separation media orcoalescence promotingfiltering media[17]12Filter media for hemodialysis[18]13Filter media for wound dressing[19]14Antimicrobial and antimycotic biocompatiblefilterfor wound healing application[20]15Biocatalyticfiltering media[21,22] 16Affinityfiltering media for highly selective separationand diagnostics[23]17Ion-exchangefiltering media[24]3.Noteworthy applications of nanofibrousfilteringmedia3.1.Penetrating aerosol particulatefiltering mediaTheoretical predictions and preliminary investigations indi-cate that significant increase of thefilter efficiency for the most penetrating particle size(between0.1and0.5m)accompanied by only a slight rise of the pressure drop,can be achieved by using the nanofibrousfiltering media[7].Recent research work of Podg´o rski et al.[9]also shows thatfibrousfilters containing nanofibers are very promising and economic tools to enhance filtration of the most penetrating aerosol particles.Nanofi-brousfiltering media can be used where high-performance air purification is needed such as in hospitals,healthcare facilities,research labs,electronic component manufacturers, military and government agencies,food,pharmaceutical and biotechnology companies.Podg´o rski et al.[9]recommended triple layer design offibrousfilters dedicated to remove the nanoparticles along with other polydispersed aerosol parti-cles(the back support layer of densely packed microfibers, the middle nanofibrous layer for collection of most penetrat-ing aerosol particles and front porous layer offibers of a few micrometers diameter for collection of micrometer sized particles).3.2.High efficiency airfiltering mediaHigh efficiency particulate air(HEPA)filters have minimum removal efficiency of99.97%of particles greater than or equal to 0.3m in diameter.Thefiltration efficiency of Nylon6nanofil-ter(made by thefibers of diameter80–200nm and having basis weight10.75g/m2)is measured using0.3m challenge parti-cles at the face velocity between3and10cm/s and found to be superior to the commercialized HEPAfilter[10].4R.S.Barhate,S.Ramakrishna/Journal of Membrane Science296(2007)1–83.3.Antimicrobial airfilterHeating,ventilating and air conditioning(HV AC)airfilters indented for air purification operating in dark,damp and ambi-ent temperature conditions are more susceptible for bacterial, mold and fungal attacks.The situation become worse when these microorganisms adhere to the accumulated dust on thefil-ter and consume the accumulated dust as food and proliferate As a result there is unpredictable deterioration of quality of air and production of bad odor.The most common attacking microor-ganisms on HV ACfilters are from Staphylococcus,Serratia, Klebsiella,Cladosporium and Aspergillus species.Recently, there is an attempt to functionalize the surface offiltering media with antimicrobial agents for long lasting durable antimicro-bial functionality[25].Recently,one more relevant article on preparation of antimicrobial nanofibrousfilter is published[26]. This concept of introducing antimicrobial functionality over the particulatefilters is needed to explore in more systematic fash-ion because the most of these microorganisms often become resistant and limit the benefits of antimicrobial functionality. Furthermore,the most of the microorganisms enter to thefil-ter with airborne particulate and they grow in size on their accumulation and build up on thefilter surface.This consider-ably reduces the contact of microorganisms with antimicrobial agent/s present on surface offilter and further limits the intended benefits.Metallic silver and silver oxides are safe and effective antimicrobial agents at low level[27].Positively charged silver ions attract to electronegative bacterial cells and bind with the sulfhydryl group of cell membrane or bacterial DNA and result in the prevention of proliferation of microorganisms[28].Ionic plasma processing(IPD)is a suitable method for coating sur-face engineered nanosized silver particles on polymeric surfaces [27].The IPD technology is adoptable because it can be used at ambient temperature.3.4.Highflux ultrafiltration membranePorous polymeric ultrafiltration membrane manufactured by the conventional method(phase immersion method)has its intrinsic limitations,e.g.lowflux and high fouling tendency due to geometric structure of pores and the corresponding pore size distribution[29]and undesirable macro-void formation across the whole membrane thickness[30].Recently,Yoon et al.[16]have shown that porous electrospun nanofibrous scaffolds (porosity larger than70%)can be used to replaceflux limit-ing asymmetric porous ultrafiltration membranes(of porosity in the range of34%).Yoon et al.[16]have recommended the three-tier approach to fabricate highflux and low fouling ultrafil-tration membranes.In their study,polyacrylonitrile nanofibrous layer was supported on the nonwoven microfibrous substrate (melt blown polyethylene terephthalate mat)and water resistant but water permeable coating of chitosan was applied over the nanofibrous layer.3.5.CoalescencefilterIn recent years,water in oil emulsion separation has received greater attention.In many applications,dispersions of water drop sizes of less than100m are very difficult to separate. The coalescencefilter is economical and effective for separation of secondary dispersions[31].Coalescencefilter performance depends onflow rate of feed,drop sizes in the feed,filter bed depth and surface properties offilter material/s.Fibrousfilter media provide the advantage of highfiltration efficiency at eco-nomical energy costs.Fibrousfilter media with large contact areas per unit mass is expected to perform better in promoting coalescence than the media with lesser surface areas.Addition of polystyrene nanofibers to the coalescencefilters(glassfibers) modified the performance of coalescencefilters;thefiltration experiments have shown that the addition of small amounts of polystyrene nanofibers significantly improve the coalescence efficiency of thefilter but also significantly increase the pres-sure drop of thefilters[17].There exist an optimum amount of nanofibers to be added to the coalescencefilter media[32],which balances the desired improvement in coalescence efficiency and the undesirable increase in the pressure drop.3.6.CatalyticfilterDevelopment of both stable and active enzyme systems is still a challenging issue in realizing the successful application of enzymes for industrial applications.Highly specific catalysts like enzymes can be recycled and reused by stabilizing and coat-ing over surface area of polymer nanofibers.The specific surface area of nanofibrous membrane can be enhanced by reducing the diameter offibers.Gibson et al.[33]studies show that the elec-trospinning process can be conventionally used to produce a specific surface area ranging from1to35m2/g;depending on the diameter offibers.Fibrous membrane made of porousfibers further enhances the specific surface area of membrane.The spe-cific surface area result from the porousfibers is much higher than that is possible by reducing the diameter offibers.The nanofibrous media has an advantage over mesoporous media by relieving the mass transfer limitation of substrates/product due to their reduced thickness and intrafiber porosity.Jian et al.[34] demonstrated that the covalent attachment of enzymes to the polystyrene nanofibers.3.7.Affinityfilter for highly selective separationsAffinity membranes for highly selective separations are prepared in our laboratory by the surface modification and func-tionalization of nanofibers[23,35,36].These membranes are expected to improve performance in preparative scale protein purifications.3.8.Ion-exchangefiltering mediaConventional ion exchange resins are normally either a gel structure or a granular structure and are typically made of styrene or acrylic as the structural materials.Granular resinous materi-als have large pore volume and low ion-exchange capacity than gel type materials.However,the granular materials have better mechanical strength over gel type materials.More recently,the fibrous materials are recognized as a support for ion-exchangeR.S.Barhate,S.Ramakrishna/Journal of Membrane Science296(2007)1–85functionality due to ease of preparation,contact efficiency,phys-ical requirements of strength and dimensional stability[37]. Polymeric nanofiber based ion exchanger has high swelling behavior compared to other media because of high surface area,porosity and capillary motion[24].In addition,Polymer nanofiber ion exchanger is found to possess extremely rapid kinetics and higher ion-exchange capacity[24].4.Techniques for preparation of nanofibrousfiltering mediaThe challenges realized during fabrication of nanofiber mat are(1)attaining the homogeneity in size(diameter)distribution offibers in the mat,(2)attaining the uniformity in deposition and orientation offibers in the mat(thickness and structural indexes) and(3)obtaining durability offiber layers in the nanofiber mat [38].There are three major processes for producing nanofibres forfluidfiltration media.They include electrostatic spinning (electrospinning),improved modular melt blowing and multi-componentfibre spinning or the‘islands-in-the sea’method [39].Each process has its advantages and disadvantages.The most versatile process for producing nanofibers is the electro-spinning[40–43],which is being used to produce nanofibrous membranes over the wide range of porosity ranging from nonporous polymer coatings to macroporous delicatefibrous structures.Electrospinning requires the massive scale solvent recovery from the dilute air stream,which makes the process uneconomic.While the polymer dissolution prior to spinning (up to10–20%,w/w,solution of polymer)and low opera-tional feed rates(polymerflow of about0.01–0.30g per orifice per minute)limit the throughput from the process.Further-more,important polymers such as polypropylene,polyethylene terephthalate,PTFE(Teflon)are not dissolvable in acceptable organic solvents at room temperature.The polymerflow rate of0.8–1.2g per orifice per minute is generally considered to be an economically viable for commercial scale operation[39]. For a viable nanofiber production process,electrospinning sta-tion must have10–20times the number of orifices per metre of the standard equipment available in the market.Electro-spunfibers have diameter smaller than that of the melt blown fibers.Currently,there are investigations aimed at improving of the melt blowing technique to produce nanofibers.The melt-blown technique allows making large quantities offibers at low cost.Numerous innovations of the extrusion die appara-tus are described in the prior art of patent namely“Disposable extrusion apparatus with pressure balancing modular die units for the production of nonwoven webs”[44].Ability to pro-duce large quantities of nanofibrousfiltering media with precise controlled porosity(interfiber and intrafiber)is still unresolved issue.4.1.Benefits from nanofibrousfiltering mediaThe dependence offilter characteristics such as pressure drop,filter efficiency and surface area on the geometric structure of fibrousfilter media is of great practical significance.4.1.1.Pressure dropFor nanometer-scalefibers,the effect of slipflow at thefiber surface has to be taken into account.This is because the scale of thefiber becomes small enough that the molecular movements of the air molecules are significant in relation to the size of the fibers andflowfield.Knudsen number is used to describe the importance of the molecular movements of air molecules at the fiber surface to the overallflowfield.The Knudsen number can be written asKn=λR fwhere“λ”is the gas mean free path(the dimension of the non-continuous nature of the molecules),and R f is the mean radius of thefibers.When Kn becomes non-legible,the continuousflow theory(which does not take into account the molecular nature of air)starts to become less valid.There is no exact Kn above which slipflow will prevail.Slipflow generally needs to be considered when Kn>0.1.Slipflow definitely needs to be considered when Kn is around0.25.For air at standard conditions,the mean free path is0.066m;therefore,forfibers with diameters smaller than0.5m,slipflow must be considered.In slipflow,the air velocity at thefiber surface is assumed to be non-zero.Due to the slip at thefiber surface,drag force on afiber is smaller than that in the case of non-slipflow,which translates into lower pressure drop[45].4.1.2.Filtration efficiency4.1.2.1.Airfiltration.In case of airfiltration,pores size is nota complete indicator of efficiency offiltration.Airfilters have traditionally been evaluated based on their ability to remove particulate matter from the air stream.Particulatefilters sepa-rate the particles from air stream by the virtue of size,shape and charge of particles in relation to surface,size and charge prop-erties offibrousfilter.Differentfiltration media rely on different physical interaction mechanisms for separation and collection of particles.Eachfiltration medium and its associated interac-tion mechanisms result into different efficiencies for particles of different sizes.The most common interaction mechanisms are direct interception,inertial impaction,Brownian diffusion and gravity settling.The total efficiency offilter(E)is resulted by collective contribution of individual efficiencies from the above interaction mechanisms.The larger particles more than 10m deviates from air stream before reaching to thefilter because of gravitational settling.The following particle ranges can be approximately assigned to these interaction mechanisms (Fig.2).Very small nanoparticles are effectivelyfiltered even in con-ventional microfibrousfilters due to very efficient mechanism of Brownian diffusion[9].The larger particles(greaterthanFig.2.Operative particle size in various interaction mechanisms.6R.S.Barhate,S.Ramakrishna /Journal of Membrane Science 296(2007)1–8Table 3Structural parameters of filters a S.N.Filter number Thickness (mm)Fiber diameter (m)Solidity (dimensionless)Basis weight (g/m 2)Filter specific area (m 2/m 3)113100.12730.4×10522120.0545.5 1.0×1053310.70.0218.2 1.14×105440.20.10.0050.912.0×105aReprinted from [9]with permission fromElsevier.Fig.3.Calculated fractional efficiency for filters as a function of aerosol particle diameter (1,2,3and 4represents fractional efficiency of filter 1,2,3and 4,respectively)(reprinted from [9]with permission from Elsevier).0.3m)are filtered by the impaction and interception.The maxi-mum penetrating particles from air filter are about 0.3m in size (which justify why HEPA filter testing is often recommended by using challenge particles of diameter of 0.3m).This result was anticipated in 1942by Dr.Irving Langmuir,which led to the development of HEPA filters.Podg´o rski et al.[9]estimated performance of nanofibrous media for filtration of particles of diameter of 10–500nm;sim-ulated filtration performance considering two predominating mechanisms namely Brownain diffusion and the direct inter-ception for the filters defined in Table 3is shown in Fig.3.Fig.3illustrates the effect of decreasing the fiber size in a filter media on filtration performance at the most penetrating particle size range (i.e.the particle diameter corresponding to the lowest fractional efficiency point in the curve)and enhancing fractional efficiency.4.1.2.2.Liquid fiing polystyrene particles of size 0.1–10m,particulate filtration performance of nanofibrous filtering media from the liquid medium was evaluated in our laboratory [46].It was observed that an electrospun membrane conveniently rejects the microparticles and acts as a screen filter without fouling the membrane especially when the particles are larger than the largest pore size of the nanofibrous membrane.High surface to volume ratio of nanofibrous media enhances the fouling.Therefore,surface modification of nanofibrous screen filter with suitable hydrophilic or hydrophobic oligomer is often recommended to reduce the fouling effect.In order to reduce the fouling effect,a work is in progress in our laboratory.4.1.3.Surface areaGibson et al.[33]estimated the specific surface area of nylon 6,6fibers as a function of diameter and denier of fibers.The membranes prepared by the approach of reducing the diame-ter of fibers had extremely small pore throat diameters (ranging from 0.1to 0.8m in size)[33],which leads to high air flow resistance.These nanofibrous coatings are suitable for filtra-tion and moisture management in the application like responsive textile and protective clothing.For an integrated operation like adsorptive filtration,the membranes must have enhanced surface and flow properties.Filtering media made of porous nanofibers and microfibers would be promising for adsorptive filtration applications.5.Developmental objectives while improving the nanofiber based filtering media 5.1.Specific surface areaThe specific surface area of fibrous materials can be consid-erably enhanced by introducing the micropores (less than 2nm)and mesopores (2–50nm)in the fibers.Phase separation dur-ing the fiber formation process can be conveniently used to introduce the fine pores or phase morphologies in the fibers [47,48].Phase separation accomplished from the two compo-nents system (polymer/solvent system)provides a single stage process to create the fine pores in the fibers.The phase separation accomplished from the three components system (polymer-1/polymer-2/solvent system)requires an additional extraction step to selectively remove the finely dispersed phase morpholo-gies of polymers from the dried fibers and to create pores in the fibers.Recently,McCann et al.[49]reported a method for cre-ation of pores in the fibers wherein the partially dried jet (wet fiber)produced from the two-component system is frozen by passing through a bath of liquid nitrogen before collecting on the target.Due to sudden reduction in temperature during the freez-ing step,phase separation sets in the partially dried jet resulting into formation of a solvent-rich phase (dispersed phase)and a polymer-rich phase (continuous phase).The dispersed solvent-Table 4Interfiber bonding conditions for a few polymeric nanofibers S.N.Nanofibrous webTreatment Ref.1Poly(etherimide)nanofibers web 240◦C for 1h [50]2Cellulose acetate nanofibers web 208◦C for 1h [35]3Polysulfone nanofibers web188◦C for 6h [36]4Polyvinylidine difluoride nanofibers web145◦C for 18h[15]。
CharacteristicsofaerobicgranulesCharacteristics of aerobic granules grown on glucose a sequential batch shaking reactorAbstract:Aerobic heterotrophic granular sludge was cultivated in a sequencing batch shaking reactor(SBSR) in which a synthetic wastewater containing glucose as carbon source was fed. The characteristics of the aerobic granules were investigated. Compared with the conventional activated sludge flocs, the aerobic granules exhibit excellent physical characteristics in terms of settleability, size, shape, biomass density, and physical strength.Scanning electron micrographs revealed that in mature granules little filamentous bacteria could be found, rodshaped and coccoid bacteria were the dominant microorganisms. 作者:CAI Chun-guang ZHU Nan-wen LIU Jun-shen WANG Zhen-peng CAI Wei-min 作者单位:CAI Chun-guang,ZHU Nan-wen,WANG Zhen-peng(School of Civil and Environmental Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)LIU Jun-shen(Department of Environmental Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)CAI Wei-min(School of Civil and Environmental Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China;Department of Environmental Science and Engineering, Harbin Institute of Technology, Harbin 150090, China) 期刊:环境科学学报(英文版) ISTICSCI Journal: JOURNAL OF ENVIRONMENTAL SCIENCES 年,卷(期): 2004, 16(4) 分类号:X703 Keywords:aerobic granulation sequential batch reactor granule characteristics。
Measurement and Analysis ofAtmospheric Aerosols大气气溶胶的测量与分析大气气溶胶指的是悬浮在大气中的固体或液态颗粒物质。
它们来源广泛,包括天然和人为的来源,如火山喷发、风沙、工业排放、交通污染等。
大气气溶胶对人类健康和环境造成潜在风险,同时也会影响气候变暖和空气质量等方面。
大气气溶胶的测量非常重要,可以帮助科学家了解大气中气溶胶的成分、浓度、大小分布和来源等,从而更好地了解它们对大气环境和人类健康的影响。
同时,对大气气溶胶的测量和分析也是气溶胶传输模型研究的重要基础。
目前,常用的测量方法主要有以下几种:1. 物理测量法容器体积法是一种基于气溶胶被收集在几何体内,通过测量收集后几何体的体积和质量来计算气溶胶的质量浓度的方法。
还有另一种物理测量法是光散射法,通过分析气溶胶对光的散射特性来确定浓度。
2. 化学分析法化学分析法主要包括质谱法、光谱法和色谱法。
其中,质谱法可以用于测量气溶胶的组成,而光谱法和色谱法则可以用于测量气溶胶的浓度。
3. 数学模型法数学模型法是一种通过建立数学模型来模拟气溶胶传输和浓度分布的方法。
这种方法可以将不同来源的气溶胶的传输和沉积过程模拟出来,从而更好地理解气溶胶的来源和分布。
通过以上几种测量方法,科学家们可以获得大气气溶胶的浓度、尺寸分布、化学成分以及来源等方面的信息。
这些信息可以用来了解气溶胶对健康和环境的影响,同时也可以为大气环境治理和治理提供重要的依据。
除了测量和分析气溶胶,科学家们还在不断探索新的气溶胶测量技术和方法。
如新型纳米颗粒探测器、偏振光分析技术和卫星遥感技术等。
这些新技术的出现将为气溶胶测量和分析带来更多的可能性和机会。
结语大气气溶胶的测量和分析是了解大气环境状况、预测未来气候和环境变化的重要基础。
各种测量方法和技术都有其优点和缺点,可以互相补充。
未来,科学家们需要不断改进测量技术,以获取更加准确的数据,为人类提供更好的保护和服务。
PM2.5中无机元素的污染特征和来源分析郑永杰;吕键【摘要】为研究齐齐哈尔市大气颗粒物PM2.5的污染特征和来源,在2013年12月~2014年11月,于齐齐哈尔大学校园内安置采样点采集PM2.5样品.初步测定了PM2.5中Na、Mg、Al、K、Ca、Fe、Mn、Ni、Cu、Zn、As、W、Pb、Ti、V、Cr这16种无机元素的浓度水平,并通过元素相关性分析、富集因子分析和主因子分析方法对其来源进行解析.结果表明:元素污染较为严重的季节是夏季,冬季较轻.Pearson相关系数分析表明无机元素污染来自地壳源和人为源的共同作用.富集因子分析表明,Zn、Cu、As、Pb这几种元素高度富集,主要受到交通源和工业源以及燃烧源等人为污染影响显著.因子分析表明,元素污染春夏两季主要来源于建筑源、交通排放污染和工业污染三个方面,秋冬季的燃烧污染明显贡献的更多.研究结果对于防治齐齐哈尔大气污染有一定的借鉴意义.【期刊名称】《科学技术与工程》【年(卷),期】2015(015)030【总页数】5页(P58-62)【关键词】齐齐哈尔;PM2.5;无机元素;来源【作者】郑永杰;吕键【作者单位】齐齐哈尔大学化学与化学工程学院,齐齐哈尔161006;齐齐哈尔大学化学与化学工程学院,齐齐哈尔161006【正文语种】中文【中图分类】X511PM2.5是指空气动力学直径小于2.5 μm的颗粒物,与较粗的大气颗粒物相比,PM2.5粒径小,大约是一根头发丝的1/20,粒子越小,比表面积越大,越容易吸附有害物质,这些细颗粒物可以随着人的呼吸进入并存留在肺的深处,是对人体健康危害最大的污染物之一,可以携带大量有毒有害物质渗透到肺泡并进入血液循环,又称可入肺颗粒物,污染颗粒物悬浮在空气中引起心血管疾病甚至肺癌发生的主要原因,是由于这一过程往往伴随着支气管上皮细胞间的转化 [1—5],因此PM2.5对人体健康和大气环境有很大的影响。
颗粒物PM2.5来源广泛,成分复杂,含有多种金属元素[6],研究PM2.5中金属元素的污染特征、协同控制众多污染源、对预防和治理大气具有重要意义。
第3期2014年6B现代科学仪器NO.3JUll.20l4MOdern Sc i en t if ic Ins tr um en ts·123·大气细颗粒物组分分析及研究料赵靓刘保献+杨懂艳陈圆圆丁萌萌周健楠(北京市环境保护监测中心北京100048)摘要大气细颗粒物(Pro。
;)的危害与其化学组分密切相关。
本文详细介绍了PM:。
的主要组分,包括水溶性无机盐离子、元素碳和有机碳、痕量元素以及地壳元素等。
PM。
的组分受不同因素影响会有所变化。
本文总结了季节、地域和特殊污染过程三个主要影响因素,并且比较了几个不同城市的PM。
组分,对PM。
的组分研究具有一定意义。
关键词大气细颗粒(PM。
);组成成分;影响因素中图分类号X515Analysis and Research on Atmosphere Fine Particle Main ComponentsZh a o L ia ng,Li u Ba oxi an*,Y ang Don gya n,Che n Yuanyuan,Din g Meng men g,Zh ou Jia n n a n(Beijing Municipal Environmental Monitoring Center,Beijing100048,China)A bs t r ac t The harm of aerosol fine par t i c le matter(PM2 5)is in close rela tion to its ch emi ca l composition.This p ap er re vi ew s main composi tion of PM2.5,including wate r sol uble i on s,EC/OC,tra ce elements and c r u st a l elements.Different influence factors can ma ke PM2comp osi tion change.Season,region,and special air pollution process are summarized in this pa p er a s main influence factors,PM25 chem ic al compositions of so me cities a r e also compared in t he p ap e r,w h i c h ha s c er t a in significance f o r t he chemi cal comp osi tion research ofP Mz.5.Ke y words PM25;Chemical composition;Influence factors随着我国工业产业的快速发展以及人口密度3095—2012)将PM:.,增加到评价指标中。
1.064μm激光大气斜程散射建模及仿真姚梅;张乐;徐成伟;张海庄;赵琳锋【摘要】To study the slant path scattering characteristics of aerosols in atmosphere, the slant path scattering model of 1. 064μm laser was built based on Mie scattering theory. The distribution characteristics of radiative parameters were analyzed with the help of MATLAB. Combined with ground surface detection, the effect of detection azimuth and angle of a detector on the scattering intensity was discussed. As a result, the model is a credible method for the tactical training of airborne designator system and ground laser detection.%为了研究大气气溶胶对激光斜程传输的散射特性,建立了基于米氏散射理论的1.064μm激光大气斜程散射模型.利用MATLAB软件对模型进行仿真计算,分析了斜程散射光辐射参量的分布特性.并结合地面探测分析了探测器的方位及探测方向对散射光辐射照度的影响.结果表明,该模型为机载激光指示器系统的战术训练、地面激光探测提供了可靠的理论依据.【期刊名称】《激光技术》【年(卷),期】2012(036)003【总页数】4页(P394-397)【关键词】激光技术;散射;斜程散射模型;米氏散射;空中照射器;探测【作者】姚梅;张乐;徐成伟;张海庄;赵琳锋【作者单位】中国人民解放军63892部队,洛阳471003;中国人民解放军63891部队,洛阳471003;中国人民解放军63892部队,洛阳471003;中国人民解放军63889部队,孟州454750;中国人民解放军63892部队,洛阳471003【正文语种】中文【中图分类】O436.2引言随着激光技术的迅速发展,激光已成为通信、工业、科研、军事等诸多领域中不可缺少的一种应用工具。
数值研究壁面参数对单纤维捕集效率的影响疏志勇;钱付平;黄小萍【摘要】基于开源OpenFOAM软件模拟单纤维过滤介质内气-固两相流运动,着重研究了单纤维过滤介质壁面参数与捕集效率之间的关系,即为纤维过滤介质的碰撞恢复系数和碰撞阻尼系数的变化对捕集效率的影响.将模拟结果与经验关联式进行对比验证,且具有很好的一致性.模拟结果表明:固体颗粒物的捕集效率随着碰撞恢复系数的增大呈现先减小后平稳的变化趋势,而碰撞恢复系数为0.5之后捕集效率基本保持稳定;颗粒物捕集效率随着碰撞阻尼系数的增加,固体颗粒物的捕集效率呈现先增大后平稳的趋势,且在碰撞阻尼系数在0.7以后,捕集效率基本趋于稳定.【期刊名称】《过滤与分离》【年(卷),期】2017(027)001【总页数】5页(P1-5)【关键词】壁面参数;捕集效率;单纤维;数值模拟【作者】疏志勇;钱付平;黄小萍【作者单位】安徽工业大学建筑工程学院,安徽马鞍山 243002;安徽工业大学建筑工程学院,安徽马鞍山 243002;安徽工业大学建筑工程学院,安徽马鞍山243002【正文语种】中文【中图分类】TQ028.2经济的快速发展同时也加剧了工业、交通、化工烟气及粉尘的排放,使得大气中的粉尘颗粒大量增加,而这些悬浮的颗粒物极易和大气中的有毒有害物质结合,因此大气中的粉尘颗粒物大多都含有有毒成分。
这些细微颗粒物一旦被人们吸入呼吸道内,它们便会深入到肺的底部,并且进入血液损害人们的身体健康。
如何减少空气中细小粉尘颗粒的含量,对于保护人体健康和环境显得格外重要。
目前,我国的PM2.5等固体颗粒物的排放标准也日趋严苛,其中GB3095-2012已经于2016年1月1日正式执行,并规定PM2.5的日排放量一级35μg/m3和二级75μg/m3[1]。
相比较粒径较大的颗粒物,PM2.5等细颗粒物会带来更加严重的健康危害,像传统的旋风除尘器已远远不能满足现代的过滤要求[2,3]。
因而近些年来更加高效的布袋除尘器和滤筒除尘器成为社会主流,对于纤维过滤介质微观过滤机理的研究也成为目前的研究热点。
Raman microspectroscopy of soot and relatedcarbonaceous materials:Spectral analysis and structural informationA.Sadezkya,1,H.Muckenhuber b ,H.Grothe b ,R.Niessner a ,U.Po ¨schla,*a Institute of Hydrochemistry,Technical University of Munich,Marchioninistr.17,D-81377Munich,GermanybInstitute of Materials Chemistry,Vienna University of Technology,Veterinaerplatz 1/GA,A-1210Vienna,AustriaReceived 6September 2004;accepted 10February 2005Available online 23March 2005AbstractExperimental conditions and mathematical fitting procedures for the collection and analysis of Raman spectra of soot and related carbonaceous materials have been investigated and optimised with a Raman microscope system operated at three different laser excitation wavelengths (514,633,and 780nm).Several band combinations for spectral analysis have been tested,and a com-bination of four Lorentzian-shaped bands (G,D1,D2,D4)at about 1580,1350,1620,and 1200cm À1,respectively,with a Gaussian-shaped band (D3)at $1500cm À1was best suited for the first-order spectra.The second-order spectra were best fitted with Lorentz-ian-shaped bands at about 2450,2700,2900,and 3100cm À1.Spectral parameters (band positions,full widths at half maximum,and intensity ratios)are reported for several types of industrial carbon black (Degussa Printex,Cabot Monarch),diesel soot (particulate matter from modern heavy duty vehicle and passenger car engine exhaust,NIST SRM1650),spark-discharge soot (Palas GfG100),and graphite.Several parameters,in particular the width of the D1band at $1350cm À1,provide structural information and allow to discriminate the sample materials,but the characterisation and distinction of different types of soot is limited by the experimental reproducibility of the spectra and the statistical uncertainties of curve fitting.The results are discussed and compared with X-ray diffraction measurements and earlier Raman spectroscopic studies of comparable materials,where different measurement and fitting procedures had been applied.Ó2005Elsevier Ltd.All rights reserved.Keywords:Soot,Graphitic carbon;Raman spectroscopy;Microstructure1.IntroductionSoot is technically defined as the black solid product of incomplete combustion or pyrolysis of fossil fuels and other organic materials.It plays important roles as an industrial filler and pigment on the one hand (carbon black),and as a traffic-related air pollutant on the other hand (diesel soot).Soot is primarily composed of carbon (>80%)and consists of agglomerated primary particleswith diameters on the order of 10–30nm comprising crystalline and amorphous domains.The graphite-like crystalline domains typically consist of 3–4turbostrati-cally stacked graphene layers,with average lateral exten-sions (L a )of up to $3nm and interlayer distances ofabout 3.5A˚,and can be regarded as highly disordered graphitic lattices [1,2].In an ideal graphitic lattice the distance between parallel graphene layers (planar hexag-onal structures of sp 2-hybridized carbon atoms withcovalent bond lengths of 1.42A˚)is 3.35A ˚,and the lay-ers are arranged in an alternating sequence ABAB.This corresponds to a hexagonal closest crystal structure with unit cells of four C atoms at two types of lattice sites with different coordination (two or no neighbouring C atoms on a perpendicular axis through the adjacent0008-6223/$-see front matter Ó2005Elsevier Ltd.All rights reserved.doi:10.1016/j.carbon.2005.02.018*Corresponding author.Tel.:+49218078238;fax:+4989218078255.E-mail address:ulrich.poeschl@ch.tum.de (U.Po ¨schl).1Now at Laboratoire de Combustion et de Systemes Reactifs,CNRS,F-45071Orleans,France.Carbon 43(2005)1731–1742/locate/carbonparallel layers).The amorphous(i.e.non-graphite-like) domains are composed of polycyclic aromatic com-pounds,which can be regarded as graphene layer pre-cursors in irregular or onion-like arrangements (fullerenoid structures),and other organic and inorganic components(aliphatics,sulfate,metal oxides,etc.).The actual physical and chemical structure of soot,its ele-mental composition(carbon,hydrogen,oxygen,etc.), and the ratio of crystalline graphite-like to amorphous organic carbon depend on the starting materials and conditions of the combustion or pyrolysis process(fuel type,fuel/oxygen ratio,flame temperature,residence time,etc.[2,3])The graphitic carbon fraction of soot can be increased by annealing procedures at high tem-peratures[2–5].For the structural characterisation of highly ordered solid materials(crystalline long-range order)diffraction techniques are usually the methods of choice.For highly disordered materials such as soot,however,Raman spectroscopy is more promising,because it is sensitive not only to crystal structures but also to molecular structures(short-range order).The Raman signals of graphite crystals result from lattice vibrations and are very sensitive to the degree of structural disorder.The spectrum of near-ideal graphite,which is observed for large single graphitic crystals and highly oriented poly-crystalline graphite(HOPG),significantly differs from the Raman spectra of disturbed graphitic lattices,such as regular polycrystalline graphite or boron-doted HOPG[6–17](Table1).Among the substances investi-gated in earlier studies are different types of graphite [6,12,13,17–19],diamondfilms[15,20],glassy carbon [18,19,21],amorphous and graphitic carbonfilms [4,22],coal,pitch and coalfibres[18],activated carbon [18,19],and fullerenes[23].Rosen and Novakov [24,25]havefirst used Raman spectroscopy to prove the presence of graphite-like carbon in diesel engine soot,and their investigations have been followed up in several other studies[3,5,13,22,26,27].Some of these studies found that different types of soot could be distin-guished according to their degree of graphitisation [3,5,13,18,19,26].In the acquisition,analysis,and inter-pretation of the broad and overlapping Raman bands of soot,however,a wide range of different approaches has been followed.The spectral parameters correlated to the degree of graphitisation have been determined in different ways,which makes the results hard to com-pare and limits their conclusiveness.Thus we have set out to investigate the applicability of Raman micro-spectroscopy for the structural characterisation of soot by systematic experiments and spectral analyses.Raman spectra have been recorded for a wide variety of soot and related materials(diesel soot,spark discharge soot, industrial carbon black,graphite,polycyclic aromatic hydrocarbons)under varying measurement conditions using a Raman microscope system with three different excitation wavelengths(k0).The Raman spectra have been analysed by curvefitting with different band com-binations,and the obtained spectral parameters and their structural information are discussed in view of the results of earlier studies.2.Experimental2.1.SamplesEight different types of industrial soot(carbon black) were available as powder samples(Degussa:S160,Prin-tex140U,Printex25,Printex60,Printex75,Printex90, and Printex XE2;Cabot:Monarch77,Monarch120). Spark discharge soot was taken from a glassflask at the outlet of a Palas GfG1000aerosol generator(pow-der sample).Diesel soot was available as a standard reference material(SRM1650,NIST;powder sample)and in the form of polycarbonate and glassfibrefilter samples collected from the exhaust of modern diesel engines(ATable1First-order Raman bands and vibration modes reported for soot and graphite(vs=very strong,s=strong,m=medium,w=weak)Band a Raman shift(cmÀ1)Vibration mode bSoot Disordered graphite c Highly ordered graphite dG$1580cmÀ1,s$1580cmÀ1,s$1580cmÀ1,s Ideal graphitic lattice(E2g-symmetry)[6,17]D1(D)$1350cmÀ1,vs$1350cmÀ1,m–Disordered graphitic lattice(graphene layer edges,A1g symmetry)[6,17]D2(D0)$1620cmÀ1,s$1620cmÀ1,w–Disordered graphitic lattice(surface graphene layers,E2g-symmetry)[17]D3(D00,A)$1500cmÀ1,m––Amorphous carbon(Gaussian[26]or Lorentzian[3,18,27]line shape)D4(I)$1200cmÀ1,w––Disordered graphitic lattice(A1g symmetry)[10],polyenes[3,27],ionic impurities[18]a Alternative band designations of earlier studies are given in brackets.b Lorentzian line shape unless mentioned otherwise.c Polycrystalline graphite(<100nm)and boron-doted HOPG[17].d Single graphitic crystals(>100nm)and HOPG[17].1732 A.Sadezky et al./Carbon43(2005)1731–1742and B:heavy-duty vehicles;C and D:passenger cars). Graphite was investigated in the form of a solid elec-trode bar as used in the spark discharge generator (99.9995%,Johnston-Matthey)and in the form of pow-der samples(SHER graphite,<100l m,Heraeus;syn-thetic graphite,1–2l m,Aldrich).The polycyclic aromatic hydrocarbon hexa-benzo-coronene(HBC) was synthesized and supplied by the research group of K.Mu¨llen(Max Planck Institute for Polymer Research, Mainz,Germany).2.2.X-ray diffractionThe investigated soot and graphite powder samples were placed on the sample support(silicon)of the X-ray diffractometer(Philips XÕpert PW3050/60)and illu-minated with Ni-filtered copper radiation(Cu K a1: k1=1.54051A˚;K a2:k2=1.54433A˚).The diffraction pattern was recorded at room temperature in the2H range from10to60°(resolution0.02°,counting time 5s per interval).2.3.Raman measurement and spectral analysisThe applied Raman microscope systems(Renishaw, System2000;Yobin Yvon,LabRAM HR)consisted of a light microscope(Leica DL-LM;Olympus BX)cou-pled to a Raman spectrometer with three different exci-tation lasers.The microscope was equipped with four objectives with5·,20·,50·,and100·magnification, respectively,and with an eyepiece with10·magnifica-tion.The microscope optics were used to focus the excitation laser beam onto the sample and to collect the backscattered light(180°).The Rayleigh scattering component was removed by a Notchfilter,and the Raman-scattered light was dispersed by an optical grid and detected by a CCD camera(maximum sensitivity at500–850nm wavelength).The excitation lasers were an Ar ion laser(k0=514nm,source power17mW),a He–Ne laser(k0=632.8nm,source power25mW), and a NIR diode laser(k0=780nm,source power 26mW).The laser beam power was adjustable from 1%to100%of the source power.The diameter of the laser spot on the sample surface was1l m for the fully focused laser beam,and40l m for the fully defocused laser beam at50·objective magnification.The spectral resolution was about6cmÀ1at514nm,4cmÀ1at633 nm,and2cmÀ1at780nm.The instrument was cali-brated against the Stokes Raman signal of pure Si at 520cmÀ1using a silicon wafer((111)crystal plane sur-face).Instrument control and spectral analysis were per-formed with the software packages Renishaw WiRE (Renishaw)and GRAMS/32(Galactic).For the powder samples,a dense layer of about one millimeter thickness was pressed with a steel spatula onto a silicon wafer (macroscopically smooth surface)and placed on the microscope sample holder;filter samples and the graph-ite bar were placed directly on the sample holder.The microscope was focused onto the sample surface using the white light source and the objective with50·magni-fication.Then the white light was replaced by the laser beam and Raman spectra were recorded(Stokes Raman shift500–4000cmÀ1).The Raman spectrometer was generally operated in the continuous scanning mode. The power of the excitation laser beam(1–100%relative intensity),spot diameter(0–100%defocusing),and exposure time have been varied tofind optimum mea-surement conditions.For soot samples spectra of high-est quality and reproducibility were generally obtained with fully defocused laser beam,laser beam powers of 10%(514nm)to100%(780nm),and exposure times of at least120s.For graphite samples,on the other hand,best results were generally obtained with100% of the laser source power and fully focused laser beam, and exposure times of at least10s.Depending on the sample type and excitation wavelength,modified mea-surement conditions also yielded high quality spectra (e.g.100%laser power and25%defocusing for soot with k0=633nm).Curvefitting for the determination of spectral para-meters was performed with the software program GRAMS/32(Galactic,Levenberg–Marquardt algo-rithm).The goodness-of-fit was indicated by the reduced v2value,which would be unity for perfect agreement be-tween the calculatedfit curve and the observed spectrum. Values between1and3imply that the curvefit converges towards the observed spectrum;values larger than3indi-cate that the iteration has reached a minimum,but does not converge[28].First-and second-order spectra were fitted separately withoutfixing or limiting the range of any spectral parameter in the iteration procedure.Dif-ferent combinations offirst-order Raman bands andTable2Band combinations tested for curvefitting offirst-order Raman spectra of soot in this work and in earlier studies(initial band positions;line shapes: L=Lorentzian,G=Gaussian)Band Initial position(cmÀ1)(I)[18](II)[26](III)(IV)[19](V)[3,27](VI)(VII)(VIII)(IX)G1580L L L L L L L L LD11360L L L L L L L L LD21620–––L––L L LD31500L G––L G–L GD41180––L–L L L L LA.Sadezky et al./Carbon43(2005)1731–17421733their initial positions tested in this study are listed in Table2.3.Results and discussion3.1.X-ray diffractogramsThe diffraction pattern of the synthetic graphite sam-ple exhibits four distinctive narrow reflections in the2H range10–60°,which can be indicated as follows:26.8°(002layer),42.3°(100),44.5°(101)and54.9°(102). In contrast,the investigated soot samples show only two broad reflections with intensity maxima at24.9°and43.6°(Printex XE2)and at24.2°and43.4°(Printex 90),respectively(Fig.1).In the diffractogram of Printex90an additional nar-row signal appears at42.9°(marked by*);this is not due to the carbonaceous material but can be attributed to acontamination with tungsten carbide.Curvefitting yields the full width at half maximum(FWHM)of these reflexes,and the Debye-Scherrer formula can be used to estimate the average size of the crystallites or graphite-like crystalline domains contained in the samples[29]. These were250nm for the synthetic graphite,4nm for Printex XE2,and only2nm for Printex90.These values indicate a higher degree of order and graphitisation for Printex XE2compared to Printex90,which is consistent with the Raman spectroscopic results discussed below.3.2.Raman spectra of graphiteThe spectrum of the SHER graphite sample(Fig.2)is characteristic of an undisturbed graphitic lattice and exhibits only onefirst-order band,the G(‘‘Graphite’’) band at around1580cmÀ1corresponding to an ideal graphitic lattice vibration mode with E2g symmetry.Such spectra are generally observed for highly ori-ented polycrystalline graphite(HOPG),and for single graphitic crystals,whose edge length L a parallel to the graphene layers is larger than100nm.The spectrum of the graphite bar,on the other hand,exhibits addi-tionalfirst-order bands(D or‘‘Defect’’bands),which are known to be characteristic for disordered graphite and to grow in intensity relative to the G band with increasing degree of disorder in the graphitic structure. The most intensive of them is the D1band,which appears at$1360cmÀ1and corresponds to a graphitic lattice vibration mode with A1g symmetry.Another first-order band accounting for structural disorder is the D2band at$1620cmÀ1which can be observed as a shoulder on the G band.Like the G band,the D2 band corresponds to a graphitic lattice mode with E2g symmetry[9,10,18].The relative intensities of both the D1and D2bands increased with increasing k0(Fig.3), which can be attributed to resonance effects[30].Spectra similar to that of the graphite bar have been observed for HOPG doted with0.5mol%of boron[17] Fig.1.X-ray diffractograms of graphite,Printex90,and Printex XE2.1734 A.Sadezky et al./Carbon43(2005)1731–1742or polycrystalline graphites with L a smaller than1000A˚[6,8–16,21].Theoretical calculations have shown that each of thefirst-order Raman bands visible in spectra of highly ordered and disordered graphites can be attrib-uted to a vibrational mode of the ideal graphitic lattice [8,10].For an ideal graphitic crystal(space group D46h with unlimited translational symmetry)only a few of these vibrational modes are Raman active.In case of structural disorders,however,some ideally forbidden vibrational modes can become Raman active.The D1 band has been suggested to arise from graphene layer carbon atoms in immediate vicinity of a lattice distur-bance like the edge of a graphene layer[14,17]or a het-eroatom in case of doted graphite[17].Moreover,this band has been observed in Raman spectra taken directly on the edge planes perpendicular to the graphene layers of large graphite single crystals and HOPG[14,17]. Thus,in polycrystalline carbonaceous materials consist-ing of large numbers of small graphitic crystallites car-bon atoms at the edge of graphene layers are considered as the most probable origin of the D band [14,17].The D2band was assigned to a lattice vibration analogous to that of the G band but involving graphene layers at the surface of a graphitic crystal[31],i.e.graph-ene layers which are not directly sandwiched between two other graphene layers.Indeed,the D2band was ob-served to replace the G band in intercalation compounds [9].In polycrystalline graphitic materials it can be re-garded as an indicator for the surface to volume ratio of graphitic crystals[19].For both samples the Raman spectra recorded with k0=514nm exhibited second-order bands at about2450,2720,and3240cmÀ1.The band at2720cmÀ1is the most intensive one and can be attributed to thefirst overtone of the D1band, (2*D1)[17,18].The spectrum of the SHER graphite exhibits a split of the(2*D1)band into a peak at $2720cmÀ1,(2*D1)1,and a pronounced shoulder at $2680cmÀ1,(2*D1)2.This split has been described be-fore as a characteristic feature of undisturbed or highly ordered graphitic lattices[18].The graphite bar exhibits no pronounced split but a relatively broad(2*D1) band.Indeed all recorded second-order graphite spectra were bestfitted with two rather than one Lorentzian-shaped(2*D1)bands.The band at3240cmÀ1can be assigned to thefirst overtone of the D2band,(2*D2) [17].The band at2450cmÀ1can be attributed to the Ra-man-activefirst overtone of a Raman-inactive graphitic lattice vibration mode at$1220cmÀ1[10,17,32].We denominate it(2*D4)in analogy tofirst and second-or-der bands of soot with similar Raman shift.For the graphite bar an additional higher-order band is observed at2950cmÀ1,which has been assigned to a combination of the G and D modes characteristic for disturbed graphitic structures,(G+D)[17,18].All ob-served second-order Raman bands can be attributed to overtones and combinations of known lattice vibration modes.Upon spectral analysis all signals except the very weak(G+D)band could befitted with Lorentzian-shaped bands and v2values below2.3.3.Raman spectra of sootFig.4shows typical Raman spectra observed for dif-ferent types of soot with k0=514nm.Thefirst-order spectra of soot generally exhibit two broad and strongly overlapping peaks with intensity maxima at$1350cmÀ1 and at$1585cmÀ1.As discussed above and summa-rized in Table1,the structure and Raman spectra of soot can be interpreted in terms of highly disordered graphitic structures.Accordingly,earlier studies have described the intensity maxima at$1350cmÀ1andA.Sadezky et al./Carbon43(2005)1731–17421735$1585cmÀ1as D and G bands analogous to those of graphite[3,5,18,26].Cuesta et al.[18],Jawhari et al.[26]and Sze et al.[19]suggested,that the peak at $1585cmÀ1comprises not only the G but also the D2 band known from graphitic lattices,but only Sze et al.[19]included it in spectral analysis by curvefitting. The curvefitting results obtained in the present study and presented below clearly support the inclusion of the D2band.The high signal intensity between the two peak max-ima can be attributed to another band at$1500cmÀ1, which has been designated D3band in a couple of ear-lier studies(Table1).Cuesta et al.[18]and Jawhari et al.[26]suggested that the D3band originates from the amorphous carbon fraction of soot(organic mole-cules,fragments or functional groups).Cuesta et al.[18]and Dippel et al.[3,27]assumed Lorentzian line shape for this band,whereas Jawhari et al.[26]proposed Gaussian line shape due to a statistical distribution of amorphous carbon on interstitial places in the disturbed graphitic lattice of soot.The spectral analyses presented below support the Gaussian line shape.The peak at$1350cmÀ1exhibits a shoulder at $1200cmÀ1,which we denominate as D4(Table1). Dippel et al.[3,27]observed this band at$1190cmÀ1 in Raman spectra offlame soot and tentatively attrib-uted it to sp2-sp3bonds or C–C and C=C stretching vibrations of polyene-like structures.Sze et al.[19]ob-served a similar feature for glassy carbon,but did not in-clude it in the spectral analysis by curvefitting.Thecurvefitting results obtained in the present study and presented below support the inclusion of a D4band with Lorentzian line shape at$1180cmÀ1in the Raman spectra of all investigated types of soot.In some soot spectra very small peaks could be ob-served at$900cmÀ1(Fig.4,GfG1000,Printex90,S 160).Such signals have not yet been reported for soot, but they might correspond to very weak bands reported by Wang et al.[17]for boron-doted HOPG(A1u vibra-tion mode of graphitic lattice).Due to their very low intensity and irregular occurrence,these signals were not taken into account in the spectral analyses presented below.In the Raman spectra recorded with k0=514nm all soot samples exhibited broad signals in the range of about2300cmÀ1to3300cmÀ1(Fig.4).According to Cuesta et al.[18]these can be attributed to second-order bands,i.e.overtones and combinations of graphitic lat-tice vibration modes.The two pronounced peaks at $2700cmÀ1and2900cmÀ1have been assigned to the (2*D)overtone and(G+D)combination,respectively. Additional shoulders at$3100cmÀ1and$2400cmÀ1 can be assigned to the(2*D2)and(2*D4)overtones, respectively.This interpretation is consistent with the re-sults of earlier studies[18]and with the spectral analyses by curvefitting presented below.With k0=633nm the second-order signals were less pronounced,and with k0=780nm they could not be observed at all.Fig.5shows the Raman spectra of Printex XE2soot measured with k0=514,633,and780nm.The change of relative signal intensities with excitation wavelength is consistent with earlier studies,can be attributed to reso-nance effects,and will be discussed below[11,13,17,30].Fig.6shows the Raman spectrum of the poly-cyclic aromatic hydrocarbon(PAH)hexabenzocoroneneFig. 6.Raman spectrum of hexabenzocoronene(HBC)with k0=633nm.1736 A.Sadezky et al./Carbon43(2005)1731–1742(HBC),which can be regarded as a graphene layer sec-tion with lateral extensions of about 1.5nm and thus as a model for the building blocks of small graphitic do-mains in soot.Indeed the main peaks occur at similar positions as in the spectra of soot:G band at $1600cm À1and D band at $1320cm À1.The peak at $1250cm À1,however,is more pronounced than the comparable D4band,whereas HBC exhibits no signifi-cant D3band.The observations are in good agreement with theoretical calculations for the vibration modes of HBC and other PAH [33].3.4.Spectral analysis by curve fittingFor the analysis and determination of spectral parameters by curve fitting nine different combinations of first-order Raman bands have been tested.These band combinations are summarised in Table 2with the applied line shapes (Lorentzian or Gaussian)and initial band positions.Most earlier analyses of soot Raman spectra have considered only three bands:G,D (comprising D1and neighbouring bands),and either D 0(D2)or D 00(D3,Table 1).Here we present the first systematic inter-comparison of these earlier approaches with a new approach including all reported first-order Raman bands of soot (G and D1–D4,Table 1).The goodness-of-fit achieved with the different band combi-nations is indicated by the reduced v 2values summa-rized in Table 3.For all investigated soot samples and excitation wavelengths the best results,i.e.the lowest v 2values were obtained with combination (IX),which includes the Lorentzian-shaped bands G,D1,D2,and D4and the Gaussian-shaped band D3.Exemplary curve fits are illustrated in Fig.7for SRM 1650diesel soot and Printex XE2.In most cases the second-best results were obtained with combination (VIII)consisting of five Lorentzian-shaped bands,while the combinations con-sisting of fewer bands yielded substantially higher v 2val-ues.On the other hand,test calculations including anadditional,hypothetical sixth band did not lead to a sig-nificant reduction of v 2compared to the fitting results obtained with five bands.To corroborate these findings,multiple spectra have been recorded under identical experimental conditionsTable 3Goodness-of–fit for the Raman spectra of exemplary soot samples obtained with different band combinations (Table 2)and indicated by reduced v 2values (v 2=1ideal fit;v 2<3convergence;v 2>3minimum without convergence)Sample k 0(I)(II)(III)(IV)(V)(VI)(VII)(VIII)(IX)SRM 1650514 2.46 2.0211.4912.62 1.77 1.41 2.46 1.25 1.12Printex XE251423.3219.8916.7323.327.22 4.289.68 2.99 1.58Printex XE26339.057.9411.819.05 3.71 2.67 3.71 2.34 1.66Diesel A a 6339.577.2013.7319.651.952.117.211.33 1.24Diesel B a 633 1.77 1.49 1.34 1.28Diesel C a633 1.71 1.90 1.60 1.51Monarch 77b 633 6.70 4.49 6.70 6.70 1.96 3.95 6.26 1.62 1.32Monarch 120a 633 1.58 2.93 1.33 1.18GfG 1000c6336.965.7318.6020.822.682.466.981.931.53a 6spectra.b 12spectra.c11spectra.A.Sadezky et al./Carbon 43(2005)1731–17421737(k0=633nm,100%laser power,25%defocusing)for six different soot samples(Table3,superscripts a–c).Aver-aging over the47spectra yields v2=1.3±0.2for band combination(IX),v2=1.6±0.3for combination(VIII), v2=2.5±0.5for combination(VI),and v2=2.0±0.5 for combination(V)which had been applied by Dippel et al.[3,27].All other combinations,including those ap-plied by Cuesta et al.[18],Jawhari et al.[26],and Sze et al.[19]yielded average v2values substantially higher than3(minimum but no convergence of Levenberg–Marquardtfit algorithm).The results clearly indicate that allfive bands(G,D1, D2,D3,D4)should be taken into account for a complete analysis and interpretation of soot Raman spectra in the range of1200–1600cmÀ1,and that the shape of the D3 band is indeed Gaussian rather than Lorentzian.The second-order bands of the recorded soot spectra were bestfitted with a combination of four Lorentzian-shaped bands with their initial positions at2450,2700,2900,and 3100cmÀ1,yielding reduced v2values lower than 2. Exemplary curvefits are illustrated in Fig.8for SRM 1650diesel soot and Printex XE2.3.5.Band parametersFor all investigated soot and graphite samples spec-tral parameters have been determined by curvefitting with band combination(IX).The complete data set with mean values and standard deviations offirst-order band positions(Raman shift),full widths at half maximum (FWHM),and intensity(peak area)ratios is given in the electronic supplement(up to12spectra per sample; Tables S1–S3with k0=514,633,and780nm,respec-tively).Characteristic features will be outlined below.The mean values of the G band positions(Stokes Raman shift)observed for different types of soot and graphite ranged from1571cmÀ1to1598cmÀ1with standard deviations(s.d.)up to18cmÀ1,without signifi-cant dependencies on k0or significant differences be-tween soot and graphite.The mean values of the G band FWHM observed for different types of soot ranged from46cmÀ1to101cmÀ1(s.d.630cmÀ1).Significantly lower values were observed for graphite:20–22cmÀ1 (s.d.64cmÀ1)for the graphite bar and15–16cmÀ1 (s.d.63cmÀ1)for the highly-ordered SHER graphite.The D1band position exhibited a pronounced depen-dence on the laser excitation wavelength,with mean val-ues of1301–1317cmÀ1(s.d.62cmÀ1)for k0=780nm, 1323–1339cmÀ1(s.d.68cmÀ1)for k0=633nm,and 1343–1358cmÀ1(s.d.68cmÀ1)for k0=514nm,with-out significant difference between graphite bar and dif-ferent types of soot.The D1band FWHM were significantly lower for the graphite bar(42–49cmÀ1, s.d.67cmÀ1)and for Printex XE2soot(101–116cmÀ1,s.d.65cmÀ1)than for all other investigated types of soot(157–227cmÀ1,s.d.615cmÀ1),as will be discussed below.In contrast to the band position, however,the FWHM exhibited no systematic depen-dence on k0.The D1/G band intensity(peak area)ratios, I D1/I G,generally increased with the excitation wave length.For the graphite bar I D1/I G increased from0.2 (s.d.0.1)at k0=514and0.4(s.d.0.3)at633nm to2.7 (s.d. 1.0)at780nm.For the different types of sootI D1/I G was highly variable and increased from3.0to9.1(s.d.63)at k0=514nm and3.3–10.5(s.d.62.7)at 633nm to9.1–21.7(s.d.61.9)at780nm.The depen-dency of D1band position and intensity on laser excita-tion wavelength is consistent with earlier studies and can be attributed to resonance effects[11,13,17,30].The mean values of the D2band position ranged from 1599cmÀ1to1624cmÀ1(s.d.612cmÀ1).The D2band FWHM were significantly lower for the graphite bar (13–22cmÀ1,s.d.67cmÀ1)than for soot(31–72cmÀ1, s.d.614cmÀ1).For the graphite bar I D2/I G increased from0.02(s.d.0.01)at k0=514and0.07(s.d.0.04)at 633nm to0.2(s.d.0.05)at780nm.For the different types of soot I D2/I G varied in the range of0.3–1.4 (s.d.60.9)and exhibited no systematic increase with k0.The D3and D4bands were observed for soot only.1738 A.Sadezky et al./Carbon43(2005)1731–1742。
空气动力学当量直径英文Title: The Air Dynamic Equivalent Diameter: A Critical Analysis.The air dynamic equivalent diameter, also known as the aerodynamic diameter or the gas dynamic equivalent diameter, is a crucial concept in the field of aerosol science and particle technology. This metric, often abbreviated as AEDor De, provides a means to standardize and compare the behavior of particles of different shapes, sizes, and densities in terms of their aerodynamic properties. In essence, it converts the actual particle size into an equivalent diameter of a hypothetical spherical particlewith identical aerodynamic characteristics.The concept of aerodynamic diameter was firstintroduced by German physicist Wilhelm Stober in the early 20th century. He defined it as the diameter of a unit-density sphere (with a density of 1 g/cm³) that would have the same settling velocity as the particle of interest,regardless of its shape or density. This definition is rooted in the principle that the aerodynamic behavior of particles, particularly their settling velocity in a gaseous medium, is primarily influenced by their shape and size.The aerodynamic diameter is determined by measuring the settling velocity of particles in a controlled environment, such as a wind tunnel or a sedimentation column. By comparing the settling velocity of a given particle with that of a spherical particle of known diameter and density, one can calculate the aerodynamic diameter of the particle. This metric is particularly useful in applications where the behavior of particles in air, such as their dispersion, deposition, and transport, is of interest.In the context of atmospheric aerosols, for example, the aerodynamic diameter is often used to describe the size distribution of particles. This information is crucial for understanding the impact of aerosols on air quality, climate, and human health. Particles with smaller aerodynamic diameters are more likely to remain suspendedin the air for longer periods, while larger particles tendto settle out more quickly.The aerodynamic diameter also plays a key role in the design and operation of particle separation and filtration systems. In these applications, understanding the aerodynamic properties of particles is essential for ensuring effective particle removal while minimizing energy consumption and maintaining system performance.In addition to its practical applications, the conceptof aerodynamic diameter also holds theoretical significance. It provides a useful framework for analyzing and comparing the behavior of particles in different environments and under varying conditions. By treating particles as having equivalent aerodynamic diameters, scientists and engineers can simplify complex systems and gain valuable insightsinto the fundamental principles governing particle motion and interactions.In summary, the air dynamic equivalent diameter is a fundamental metric in aerosol science and particletechnology. It serves as a bridge between the physical properties of particles and their aerodynamic behavior, enabling comparisons and predictions of particle motion in various environments. By understanding and applying the principles of aerodynamic diameter, we can gain a deeper understanding of the behavior and impact of particles in our world.。