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CLEAN DEVELOPMENT MECHANISM
PROJECT DESIGN DOCUMENT FORM (CDM-PDD)
Version 03 - in effect as of: 28 July 2006
CONTENTS
A. General description of project activity
B. Application of a baseline and monitoring methodology
C. Duration of the project activity / crediting period
D. Environmental impacts
E. Stakeholders’ comments
Annexes
Annex 1: Contact information on participants in the project activity
Annex 2: Information regarding public funding
Annex 3: Baseline information
Annex 4: Monitoring plan
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SECTION A. General description of project activity
A.1 Title of the project activity:
>>
6MW Biomass cogeneration project, in Boxing County, Shandong Province, P.R.China
PDD version 2.0
Date: October 10 2007
A.2. Description of the project activity:
>>
The proposed project is a newly-built generation project with straw fired fuel, which is located in the area
with abundant cotton straw resource. The installed capacity of this project is 6MW and the annual straws’
consumption is about 78,426 t, and it is expected to deliver annually 28.876 GWh electricity to Northern
China Power Grid (NCPG) of China and 936.4TJ to the heat consumers.
When the proposed project is put into operation, the GHG emission reductions are from two components.
Firstly, it will substitute some electricity generation of NCPG dominated by fossil fuel fired power plants.
Secondly, it will use straw more efficiently, which will reduce CH4 emissions because the biomass is
dumped or left to decay or burned in an uncontrolled manner in the absence of the proposed project. The
estimated annual GHG emission reductions are 119,257 tCO2e.
The proposed project makes good use of the renewable straws as fuels for generation; it will produce
positive economic and environmental benefits and contributes to the local sustainable development
through following aspects:
z By utilizing the straws for generation, to improve local environment ,and to be consistent with
China’s national energy policy and industry policy;
z To reduce a great deal of straws dumped or left to decay or burned in an uncontrolled manner
and related air pollution , and thus will prevent the negative influences of smog pervasion on
road and airport transportation due to straws burnt in the open air;
z To increase the supply of local power generation, and will alleviate power shortage in the local
areas, and thus will reduce the fossil fuel consumption;
z To increase the income of local residents because the straws as by-product of crop can be sold;
to create new job opportunities for the local people and new income sources because of the
activities of straws collection, storage and transportation;
A.3. Project participants:
>>
Name of Party involved (*) ((host) indicates a host
Party)
Private and/or public
entity(ies)
project participants (*)
(as applicable)
Kindly indicate if
the Party involved
wishes to be
considered as
project participant
(Yes/No)
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P.R. China CLP Huanyu (Shandong)
Biomass Heat & Power Co.,
Ltd.
Yes
For detailed information, please refer to Annex I.
A.4. Technical description of the project activity:
A.4.1. Location of the project activity:
A.4.1.1. Host Party(ies):
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P.R. China
A.4.1.2.Region/State/Province etc.:
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Shandong Province
A.4.1.3. City/Town/Community
etc:
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Binzhou City, Boxing County, Zhaihao Village
A.4.1.4. Detail
of
physical
location, including information allowing the unique identification of this project activity (maximum one page):
>>
The proposed project is located in Zhaihao Village in the southeast of Boxing County, northeast of Shandong Province. It is near to the west of Haihe Road and south of Taihang Road, and 2.5km away from the county centre. Geographical location of the project is shown in figure 1.
The proposed project is located north latitude of 37°32′34′′-37°32′40′′ east longitude of 118o47′21′′-118o47′32′′.
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Figure 1: project location
Jinan City
The Project Site
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A.4.2. Category(ies) of project activity:
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Category 1, energy industries (renewable sources)
A.4.3. Technology to be employed by the project activity:
>>
The process of the proposed project is as follows: the appointed company will set up some stations for
straws collection, shredding and temporary storage near the straw resource, then transport the straw to the
plant according to dispatch scheme. After the straws are transported into the storehouse in the generation
plant, it will be carried into the fuel feeding system, then sent to the boiler for firing. Some steam
generated is used for heat, other used for power generation connected to the NCPG. At the same time, the
soot and smog are caught by the hop-pocket dust catcher and then carried into ash storeroom. The ash is
discharged and carried into the ash room. The dry ash is packed and carried out for fertilizer.
All the technologies employed in the proposed project are all domestic technologies, no technology
transfer involved in the proposed project.
A.4.4Estimated amount of emission reductions over the chosen crediting period:
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Annual GHG emission reductions of the proposed project are estimated to be 119,257tCO2e. For detailed
calculation please refer to section B.6.4. During the first crediting period (July 1 2008-June 30 2015), the
total GHG emission reductions of the proposed project are estimated to be 834,799 tCO2e.
The crediting period is expected to be renewed to 21 years in total. As the project is planned to start from
1/7/2008 with the renewable crediting periods, the emission reductions during the first crediting period
are estimated as:
Years Annual estimation of emission reductions
in tonnes of CO2e
2008 (7-12) 59,629
2009 (1-12) 119,257
2010 (1-12) 119,257
2011 (1-12) 119,257
2012 (1-12) 119,257
2013(1-12) 119,257
2014 (1-12) 119,257
2015(1-6) 59,628
834,799
Total estimated reductions
(tonnes of CO2e)
Total number of crediting years7
119,257
Annual average over the crediting period of
estimated reductions (tonnes of CO2e)
A.4.5. Public funding of the project activity:
>>
No public funding is involved in this project activity.
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SECTION B. Application of a baseline and monitoring methodology
B.1. Title and reference of the approved baseline and monitoring methodology applied to the project activity: >>
Version 06 of ACM0006: “Consolidated baseline methodology for grid-connected electricity generation from biomass residues” and conjunction with the approved monitoring methodology (referred as The Methodology), Version 06 of ACM0002:”Consolidated baseline methodology for grid-connected electricity generation from renewable source” and Version 03 of “Tool for the Demonstration and Assessment of Additionality”. More information about The Methodology can be found on the website: http://cdm.unfccc.int/methodologies/PAmethodologies/approved.html B.2 Justification of the choice of the methodology and why it is applicable to the project activity: >>
The proposed project is a newly built power plant fuelled with straws, then a grid-connected renewable energy power generation project, which is fully consistent with the applicability conditions of version 06 of ACM0006, detailed information is listed in the following table:
Comparison with applicability conditions of ACM0006 and the proposed Project
Applicability conditions of ACM0006
The proposed project
No other biomass types than biomass residues, as defined in the Methodology, are used in the project plant and these biomass residues are the predominant fuel used in the project plant (some fossil fuels may be co-fired);
Predominant fuels used by the proposed project are cotton straw. For projects that use biomass residues from a production process (e.g. production of sugar or wood panel boards), the implementation of the project shall not result in an increase of the processing capacity of raw input (e.g. sugar, rice, logs, etc.) or in other substantial changes (e.g. product change) in this process;
The straws used by the proposed project are by-products of agriculture crops, not from a production process. The biomass used by the project facility should not
be stored for more than one year;
The straws are directly bought from the farmers at
the temporary storage stations and the straws should not be stored for more than one year. No significant energy quantities, except from transportation of the biomass, are required to prepare the biomass residues for fuel combustion, i.e. projects that process the biomass residues prior
Except from transportation of the straws, the
proposed project has no significant consumption of fossil fuels.
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to combustion (e.g. esterification of waste oils) are
not eligible under this methodology.
As described above, the proposed project activity is fully consistent with the applicability conditions of
ACM0006, and ACM0006 is applicable for the proposed project.
B.3. Description of the sources and gases included in the project boundary
According to the version 06 of ACM0006, the project boundary encompasses the power plant at the
project site, the means for transportation of biomass to the project site, and all power plants connected
physically to the electricity system that the CDM project power plant is connected to.
In this PDD, CH4 emissions will be included for both project and baseline emissions.
The GHGs included in or excluded from the project boundary are listed as follows:
Source Gas
Included?
Justification/Explanation
Baseline Grid electricity
generation
CO2Yes Main emission source
CH4 No
Excluded for simplification. This is
conservative
N2O No
Excluded for simplification. This is
conservative
Uncontrolled
burning or decay of
surplus biomass
residues
CO2 No
It is assumed that CO2 emissions from
surplus biomass residues do not lead to
changes of carbon pools in the LULUCF
sector.
CH4 Yes
Main emission source as B1 is identified as
the most likely baseline scenario in this
PDD.
N2O No
Excluded for simplification, this is
conservative.
Project Activity On-site fossil fuel
and electricity
consumption due to
the project activity
CO2Yes May be an important emission source
CH4 No
Excluded for simplification. This emission
source is assumed to be very small.
N2O No
Excluded for simplification. This emission
source is assumed to be very small.
Off-site
transportation of
biomass residues
CO2Yes May be an important emission source
CH4 No
Excluded for simplification. This emission
source is assumed to be very small.
N2O No
Excluded for simplification. This emission
source is assumed to be very small.
Combustion of
biomass residues
for electricity
CO2 No
It is assumed that CO2 emissions from
surplus biomass residues do not lead to
changes of carbon pools in the LULUCF
sector.
CH4 Yes
Main emission source as B1 or B3 is
identified as the most likely baseline
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scenario in this PDD.
N2O No Excluded for simplification. This emission source is assumed to be very small.
Storage of biomass residues CO2 No
It is assumed that CO2 emissions from
surplus biomass residues do not lead to
changes of carbon pools in the LULUCF
sector.
CH4 No
Excluded for simplification. Since biomass
residues are stored for not longer than one
year, this emission source is assumed to be
small.
N2O No
Excluded for simplification. This emissions
source is assumed to be very small.
B.4. Description of how the baseline scenario is identified and description of the identified baseline scenario:
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The proposed project generates electricity and heat, then the alternatives of the proposed project activity should be determined as follows:
1.Power generation
In ACM0006, six realistic and credible alternatives for power generation may be included, inter alia: z P1: The proposed project activity not undertaken as a CDM project activity
z P2 :The proposed project activity (installation of a power plant), fired with the same type of biomass residues but with a lower efficiency of electrical generation2 (e.g. an efficiency
that is common practice in the relevant industry sector)
z P3: The generation of power in an existing plant, on-site or nearby the project site, using only fossil fuels
z P4: The generation of power in existing and/or new grid-connected power plants
z P5 :The continuation of power generation in an existing power plant, fired with the same type of biomass residues as (co-)fired in the project activity, and implementation of the
project activity, not undertaken as a CDM project activity, at the end of the lifetime of the
existing plant
z P6: The continuation of power generation in an existing power plant, fired with the same type of biomass residues as (co-)fired in the project activity and, at the end of the lifetime
of the existing plant ,replacement of that plant by a similar new plant
As for P1, if the proposed project activity is not undertaken as a CDM project activity, it will be faced with investment barriers and technological barriers and can’t be run commercially, the detail information please see B.5. Therefore, P1 can’t become the most realistic baseline alternative for power generation. As for P2, at present, the technology of biomass power generation just starts, even if the biomass power
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plants with lower power generation efficiency are not common practice in China. Therefore, P2 can’t
become the most realistic baseline alternative for power generation.
As for P3, there are none of fossil fuel fired power plants around the project site, so P3 is excluded.
As for P4, the current installed capacity and newly added capacity of NCPG that the proposed project is
connected will meet the requirement of national laws and regulations, also financially viable. The same
electricity generation with the proposed project is likely to be from existing and/or new grid-connected
power plants.
As for P5 and P6, there are none of biomass power plants in the local areas. Therefore, P5 and P6 are
excluded.
In conclusion, the most realistic and credible alternative for power generation is P4.
2. Heat generation
In ACM0006, eight realistic and credible alternatives for heat generation may be included, inter alia:
z H1: The proposed project activity not undertaken as a CDM project activity
z H2 :The proposed project activity (installation of a cogeneration power plant), fired with the
same type of biomass but with a different efficiency of heat generation2 (e.g. an efficiency that
is common practice in the relevant industry sector)
z H3 :The generation of heat in an existing cogeneration plant, on-site or nearby the project site,
using only fossil fuels
z H4 :The generation of heat in boilers using the same type of biomass residues
z H5 :The continuation of heat generation in an existing cogeneration plant, fired with the same
type of biomass as in the project activity, and implementation of the project activity, not
undertaken as a CDM project activity, at the end of the lifetime of the existing plant
z H6 :The generation of heat in boilers using fossil fuels
z H7 :The use of heat from external sources, such as district heat
z H8 :Other heat generation technologies (e.g. heat pumps or solar energy)
As for H1, if the proposed project activity is not undertaken as a CDM project activity, it will be faced
with investment barriers and technological barriers and can’t be run commercially. Therefore, H1 can’t
become the most realistic baseline alternative for power generation.
As for H2, with the same reason described in P2, whether the efficiency is higher or lower, the use of
biomass for electricity generation and/or heat generation (compared with normal fossil fuel fired power
plants for power and /or heat) can’t be fallen into the baseline scenario for heat generation. Therefore, H2
can’t become the most realistic baseline alternative for heat generation.
As for H3, there are none of fossil fuel fired cogeneration plants around the project site, so H3 is excluded.
As for H4, all of the boilers used for heat supply in the local areas fire coal and there are none of the
boilers fired with biomass, so H4 is excluded.
As for H5, there are none of cogeneration plants in the local areas, so H5 is excluded.
As for H6, this situation is the common practice at present in the local areas. There are none centralized
heat supply sources in the project site and the heat users have to develop their own boilers fired with coal.
So H6 is included.
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As for H7, because there are none district heat supply in the local areas, heat sources from external
sources such as district heat don’t exist. So, H7 is excluded.
As for H8, there is lack of other heat generation technologies such as heat pumps or solar energy in
around the project site. So, H8 is excluded.
In conclusion, the most realistic and credible alternative for power generation is H1 and H6.
3. Use of biomass
In ACM0006, eight realistic and credible alternatives for the use of biomass may be included, inter alia:
z B1: The biomass residues are dumped or left to decay under mainly aerobic conditions. This
applies for example, to dumpling and decay of biomass residues on fields.
z B2: The biomass residues are dumped or left to decay under clearly anaerobic conditions. This
applies, for example, to deep landfills with more than 5 meters. This does not apply to biomass
residues that are stock-piled or left to decay on fields.
z B3: The biomass residues are burnt in an uncontrolled manner without utilizing it for energy
purposes.
z B4: The biomass residues are used for heat and/or electricity generation at the project site.
z B5: The biomass residues are used for power generation, including cogeneration, in other
existing or new grid connected power plants
z B6: The biomass residues are used for heat generation in other existing or new boilers at other
sites
z B7: The biomass residues are used for other energy purposes, such as the generation of biofuels
z B8: The biomass residues are used for non-energy purposes, e.g. as fertilizer or as feedstock in
processes (e.g. in the pulp and paper industry)
The proposed project will utilize the waste straw, which is otherwise burned in an uncontrolled manner
without utilizing it for energy purposes. There is no similar cogeneration project in local area using straw
as fuel, and other local plants will not use the straw resource due to the cost consideration. As described
above, the local waste biomass is not utilized for energy purposes as B4, B5, B6 and B7. So, the four
alternatives are excluded.
Secondly, according to the project Feasibility Study Report (FSR) and Environmental Impact Assessment
(EIA), the proposed project is abundant in straws resources. In a radius of 35 km around the proposed
project, the annual cotton straws resources are 0.312 million tons (source: FSR). Presently, only 0.05
million tons of them are used for cooking, heating, fertilizers etc. With the rapid development of China’s
rural economy, and with farmers’ increasing incomes, the commercial energy, such as coal and liquefied
petroleum gas (LPG), have become the main energy for cooking and heating, resulting in the increase of
the straws dumped or left to decay or burned in an uncontrolled manner. The straws consumed by the
proposed project is about 0.08 million tons, only accounting for 37.7% of the total available straws (0.212
million tons, excluding the straws used for cooking, heating, fertilizers etc. and the collect efficiency is
80% ) dumped or left to decay or burned in an uncontrolled manner. Then the biomass used by the
proposed project should not impropriate the biomass as fertilizer and non-energy purposes. In other words,
the proposed project will not change the use of biomass as fertilizer and non-energy purposes. Therefore,
B8 is excluded.
According to the FSR, most of the straws are dumped or left to decay or burned in an uncontrolled
manner. Therefore, B2 is excluded.
In conclusion, the most realistic and credible alternative for biomass use is B1 or B3.
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Then the scenario 2 is the most realistic baseline scenario.
Scenario Project type Baseline scenario
Power generation Heat generation Biomass
use
2 Greenfield power project P4H1 or H6B1 or B3
B.5. Description of how the anthropogenic emissions of GHG by sources are reduced below
those that would have occurred in the absence of the registered CDM project activity (assessment
and demonstration of additionality): >>
According to the version 06 of ACM0006 and version 03 of “Tools for the demonstration and assessment
of additionality”, the following steps are used to define the baseline scenario:
Step 1. Identification of alternatives to the project activity consistent with current laws and
regulations
Sub-step 1a. Define alternatives to the project activity.
In the “Identification of the baseline scenario” of ACM0006, realistic and credible alternatives should be
separately determined regarding:
z how power would be generated in the absence of the CDM project activity;
z what would happen to the biomass residues in the absence of the project activity; and
z in case of cogeneration projects: how the heat would be generated in the absence of the project
activity.
The proposed project generates electricity and heat, then the alternatives of the proposed project activity
should be determined as follows:
2.Power generation
In ACM0006, six realistic and credible alternatives for power generation may be included, inter alia:
z P1: The proposed project activity not undertaken as a CDM project activity
z P2 :The proposed project activity (installation of a power plant), fired with the same type
of biomass residues but with a lower efficiency of electrical generation2 (e.g. an efficiency
that is common practice in the relevant industry sector)
z P3: The generation of power in an existing plant, on-site or nearby the project site, using
only fossil fuels
z P4: The generation of power in existing and/or new grid-connected power plants
z P5 :The continuation of power generation in an existing power plant, fired with the same
type of biomass residues as (co-)fired in the project activity, and implementation of the
project activity, not undertaken as a CDM project activity, at the end of the lifetime of the
existing plant
z P6: The continuation of power generation in an existing power plant, fired with the same
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type of biomass residues as (co-)fired in the project activity and, at the end of the lifetime
of the existing plant ,replacement of that plant by a similar new plant
As for P1, if the proposed project activity is not undertaken as a CDM project activity, it will be faced
with investment barriers and technological barriers and can’t be run commercially, the detail information
please see B.5. Therefore, P1 can’t become the most realistic baseline alternative for power generation.
As for P2, at present, the technology of biomass power generation just starts, even if the biomass power
plants with lower power generation efficiency are not common practice in China. Therefore, P2 can’t
become the most realistic baseline alternative for power generation.
As for P3, there are none of fossil fuel fired power plants around the project site, so P3 is excluded.
As for P4, the current installed capacity and newly added capacity of NCPG that the proposed project is
connected will meet the requirement of national laws and regulations, also financially viable. The same
electricity generation with the proposed project is likely to be from existing and/or new grid-connected
power plants.
As for P5 and P6, there are none of biomass power plants in the local areas. Therefore, P5 and P6 are
excluded.
In conclusion, the most realistic and credible alternative for power generation is P4.
2. Heat generation
In ACM0006, eight realistic and credible alternatives for heat generation may be included, inter alia:
z H1: The proposed project activity not undertaken as a CDM project activity
z H2 :The proposed project activity (installation of a cogeneration power plant), fired with the
same type of biomass but with a different efficiency of heat generation2 (e.g. an efficiency that
is common practice in the relevant industry sector)
z H3 :The generation of heat in an existing cogeneration plant, on-site or nearby the project site,
using only fossil fuels
z H4 :The generation of heat in boilers using the same type of biomass residues
z H5 :The continuation of heat generation in an existing cogeneration plant, fired with the same
type of biomass as in the project activity, and implementation of the project activity, not
undertaken as a CDM project activity, at the end of the lifetime of the existing plant
z H6 :The generation of heat in boilers using fossil fuels
z H7 :The use of heat from external sources, such as district heat
z H8 :Other heat generation technologies (e.g. heat pumps or solar energy)
As for H1, if the proposed project activity is not undertaken as a CDM project activity, it will be faced
with investment barriers and technological barriers and can’t be run commercially. Therefore, H1 can’t
become the most realistic baseline alternative for power generation.
As for H2, with the same reason described in P2, whether the efficiency is higher or lower, the use of
biomass for electricity generation and/or heat generation (compared with normal fossil fuel fired power
plants for power and /or heat) can’t be fallen into the baseline scenario for heat generation. Therefore, H2
can’t become the most realistic baseline alternative for heat generation.
As for H3, there are none of fossil fuel fired cogeneration plants around the project site, so H3 is excluded.
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As for H4, all of the boilers used for heat supply in the local areas fire coal and there are none of the
boilers fired with biomass, so H4 is excluded.
As for H5, there are none of cogeneration plants in the local areas, so H5 is excluded.
As for H6, this situation is the common practice at present in the local areas. There are none centralized
heat supply sources in the project site and the heat users have to develop their own boilers fired with coal.
So H6 is included.
As for H7, because there are none district heat supply in the local areas, heat sources from external
sources such as district heat don’t exist. So, H7 is excluded.
As for H8, there is lack of other heat generation technologies such as heat pumps or solar energy in
around the project site. So, H8 is excluded.
In conclusion, the most realistic and credible alternative for power generation is H1 and H6.
3. Use of biomass
In ACM0006, eight realistic and credible alternatives for the use of biomass may be included, inter alia:
z B1: The biomass residues are dumped or left to decay under mainly aerobic conditions. This
applies for example, to dumpling and decay of biomass residues on fields.
z B2: The biomass residues are dumped or left to decay under clearly anaerobic conditions. This
applies, for example, to deep landfills with more than 5 meters. This does not apply to biomass
residues that are stock-piled or left to decay on fields.
z B3: The biomass residues are burnt in an uncontrolled manner without utilizing it for energy
purposes.
z B4: The biomass residues are used for heat and/or electricity generation at the project site.
z B5: The biomass residues are used for power generation, including cogeneration, in other
existing or new grid connected power plants
z B6: The biomass residues are used for heat generation in other existing or new boilers at other
sites
z B7: The biomass residues are used for other energy purposes, such as the generation of biofuels
z B8: The biomass residues are used for non-energy purposes, e.g. as fertilizer or as feedstock in
processes (e.g. in the pulp and paper industry)
The proposed project will utilize the waste straw, which is otherwise burned in an uncontrolled manner
without utilizing it for energy purposes. There is no similar cogeneration project in local area using straw
as fuel, and other local plants will not use the straw resource due to the cost consideration. As described
above, the local waste biomass is not utilized for energy purposes as B4, B5, B6 and B7. So, the four
alternatives are excluded.
Secondly, according to the project Feasibility Study Report (FSR) and Environmental Impact Assessment
(EIA), the proposed project is abundant in straws resources. In a radius of 35 km around the proposed
project, the annual cotton straws resources are 0.312 million tons (source: FSR). Presently, only 0.05
million tons of them are used for cooking, heating, fertilizers etc. With the rapid development of China’s
rural economy, and with farmers’ increasing incomes, the commercial energy, such as coal and liquefied
petroleum gas (LPG), have become the main energy for cooking and heating, resulting in the increase of
the straws dumped or left to decay or burned in an uncontrolled manner. The straws consumed by the
proposed project is about 0.08 million tons, only accounting for 37.7% of the total available straws (0.212
million tons, excluding the straws used for cooking, heating, fertilizers etc. and the collect efficiency is
80% ) dumped or left to decay or burned in an uncontrolled manner. Then the biomass used by the
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proposed project should not impropriate the biomass as fertilizer and non-energy purposes. In other words,
the proposed project will not change the use of biomass as fertilizer and non-energy purposes. Therefore,
B8 is excluded.
According to the FSR, most of the straws are dumped or left to decay or burned in an uncontrolled
manner. Therefore, B2 is excluded.
In conclusion, the most realistic and credible alternative for biomass use is B1 or B3.
Then the scenario 2 is the most realistic baseline scenario.
Scenario Project type Baseline scenario
Power generation Heat generation Biomass
use
2 Greenfield power project P4H1 or H6B1 or B3
Sub-step 1b. Enforcement of applicable laws and regulations
As for power generation, P1 (The proposed project activity not undertaken as a CDM project activity) and
P4 (The generation of power in existing and/or new grid-connected power plants), are consistent with
related laws and regulations in China.
As for biomass use, related policies and regulations have been issued, such as Renewable Energy Law
and Renewable Energy Mid to Long-term Development Plan for Renewable Energy. But the related
regulations don’t compel to use biomass.75% of biomass has been dumped or left to decay or burned in
an uncontrolled manner both in China and in the proposed project area. Therefore, B1 or B3 is a common
scenario in the real world.
Step 2 Investment analysis
The purpose of this step is to determine whether the proposed project activity is economically or
financially less attractive than other alternatives without an additional revenue/funding, possibly from the
sale of certified emission reductions (CERs). The investment analysis was conducted in the following
steps:
Sub-step 2a. Determine appropriate analysis method
In the Tools for the demonstration and assessment of additionality, there are three options for investment
analysis: simple cost analysis (option I), investment comparison analysis (option II) and benchmark
analysis (option III).
Since the proposed project will earn the revenues not only from the CDM activity but also from electricity
and heat sales, the simple cost analysis method is not applicable. Because the proposed project owner
only has two choices: building/not building the proposed project, if the proposed project activity is not
undertaken as a CDM project activity, therefore option 2 is not applicable. The proposed project will use
benchmark analysis based on the consideration that benchmark IRR or equity IRR of the power sector are
available.
Sub-step 2b. Benchmark Analysis Method (Option3)
In the Feasibility Study Report of the proposed project, the analysis of the economical assessment of the
proposed project is based on “Economical Assessment and Parameters for Construction Project, 3rd
edition”, which was issued by Ministry of Construction and former State Development and Planning
Commission (current NDRC), “Detailed Rules of Economical Assessment for Electric Power
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Construction Project”, which was issued by the Institute of Planning and Design for Electric Power
Industry. Moreover, most of national electrical power projects adopt 8% Financial Internal Return Rate
FIRR (after tax) of the total investment as sectoral benchmark. So, the proposed project adopts this
benchmark.
On the basis of above benchmark, calculation and comparison of financial indicators are carried out in
sub-step 2c.
Sub-step 2c. Calculation and comparison of financial indicators
(1) Basic parameters for calculation of financial indicators
Key parameters for the calculation of financial indicators
Basic parameters Data source
Net electricity delivered (GWh) 28.876 Feasibility study report(FSR)
Net heat delivered (GJ) 936400 FSR
Tariff of electricity (Yuan/kWh) 0.594 Project owner, including VAT
Tariff of heat (Yuan/GJ) 33.63 Project owner, including VAT
Total investment(million Yuan) 95.676 Project owner
Active capital (million Yuan) 2.35 Project owner
Depreciation period(year) 15 FSR
Construct period(year) 1 FSR
Operation period(year) 20 Project owner
Residue of investment 0.05 FSR
O&M (million Yuan)
Straw cost 23.52 Calculated by straw consumption multiply its price
Operating cost 37.73 FSR
Tax (%)
VAT rate of electricity sale 0.17 FSR
VAT rate of fuel purchase 0.13 FSR
Other tax rate 0.10 FSR
Income tax rate 0.25 New tax law to be implemented in 2008 Straw
Cotton straw consumption(kt/a) 78.42 Project owner
Cotton straw Price(Yuan/t) 300 Project owner
CER Expected CERs Price(US$/t CO2e) 10 Assumed
Exchange Rate (Yuan/US$) 7.6 Assumed
CERs crediting time(year) 21
page 16
(2) Comparison of IRR for the proposed project and the financial benchmark
In accordance with benchmark analysis, if the financial indicators (IRR) of the proposed project are lower than the benchmark, the proposed project is not considered as financially attractive.
The following table shows the IRR of the proposed project, with and without CDM revenues. Without CDM revenues, the IRR of total investment is lower than the benchmark 8%, thus financially attractive. With CDM/CERs revenue, the IRR will be significantly improved to 11.63%, higher than investment benchmark, then economically attractive.
Financial indicators of the proposed project (total investment)
Item IRR benchmark =8% Without CDM 2.08% With CDM
14.03%
Sub-step 2d. Sensitivity analysis
The objective of sensitivity analysis is to show whether the conclusion regarding the financial
attractiveness is robust to reasonable variations in the critical assumptions. For the proposed project, the following financial parameters were taken as uncertain factors for sensitive analysis of financial attractiveness:
z Total investment
z Net electricity and heat delivered z Straw price: The tariff is not considered in the sensitivity analysis because the tariff of biomass power units is
regulated by the regulating entities. The O&M cost is not considered in the sensitivity analysis because the major component of O&M cost is fuel cost and depreciation which will be analyzed for the straw price and total investment.
Assuming the above three factors vary in the range of -10%-+10%, the FIRR of the proposed project (without income from CERs sales) varies to different extent, as shown in following Figure.
Figure. Sensitivity analysis for different financial parameters (without CDM)
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17
The change of net electricity delivered is the most important factor affecting the financial attractiveness of
the proposed project. The next important factor for financial attractiveness is the straw price. The impact
of the total investment is the slightest. Within the reasonable range of annual output, investment and straw
price, the IRR of the proposed project is always lower than the investment benchmark, then lack of
financial attractiveness.
When the above three financial parameters were fluctuated within the range of -10% to +10%, without the
CDM revenue, the IRR of total investment has different fluctuation.
Step 3. Barrier analysis
This step is used to determine whether the proposed project activity faces real barriers that prevent the
implementation of this type of proposed project activity; and do not prevent the implementation of at least
one of the alternatives. Step 3 uses the following sub-steps:
Sub-step 3a. Identify barriers that would prevent the implementation of type of the proposed project
activity:
List the barriers that would prevent the implementation of the type of proposed project activity from
being carried out if the proposed project activity was not registered as a CDM activity, those barriers
include:
z Investment barriers
Firstly, the biomass power generation is a greenfield project activity and its initial investment is much
higher than the normal coal-fired power generation project, and the financial institutions lack necessary
information about it, so the bank is reluctant to provide a loan for such project activity. Next, the capital
market in China is not perfect, so the financing channels are too limited. Therefore, the financing is a key
barrier to the commercialization of biomass power generation. Furthermore, because the biomass power
generation projects haven’t been in the list of the national tax favourable inventory, which increases the
risk to invest biomass power generation projects.
Although prospective tariff policy and other incentives with respect to biomass power projects are
currently in place, financial indicators of this kind of projects have not fundamentally changed and the
loan repayment capability remains weak.
z The risk for biomass collection
The agriculture is still a small-scale peasant economy in Shandong and China. According to the statistics
of 2005, the cultivated land per person in Shandong is 1.04 mu. As the biomass distribution is relatively
dispersed, the project sponsor has to collect household by household, thus greatly increase the collection
cost. Most important, the dispersed small-scale peasant economy means it will be impossible to hedge the
straw price though a long-term contract. The lack of price hedge mechanism will greatly increase the risk
of the proposed project. For example, the collection cost of the Shiliquan straw mix with coal generation
project has increased from 100 Yuan/t originally to 400 Yuan/t after it is put into operation
(https://www.doczj.com/doc/e715349849.html,/html/2005-12/200517815.html).
Sub-step 3 b. Show that the identified barriers would not prevent the implementation of at least one of
the alternatives (except the proposed project activity):
As mentioned in step 1, the scenario of the proposed project is scenario 2 of ACM0006. In the absence of
the proposed project activities, the most plausible and credible alternative available to the proposed
project is as follows: P4 (the generation of power in existing and/or new grid-connected power plants);
B1 or B3.As for the power generation, because the fossil fuel fired power plants are dominated in
page
18
Northern China Power Grid, the same electricity generation with the proposed project can be provided
from grid. As for biomass, it is common practice in the local area that the biomass is dumped or left to
decay or burned in an uncontrolled manner without utilizing it for energy purposes. In all, the identified
barriers would not prevent the implementation of at least one of the alternatives (except the proposed
project activity).
In all, the combinations of project types and baseline scenarios for the proposed project are as follows:
Combinations of project types and baseline scenarios
Scenario Project type Baseline scenario
Power generation Heat generation Biomass
use
2 Greenfield power project P4NA B1 or B3
Step 4. Comment practice analysis
Sub-step 4a. Analyze other activities similar to the proposed project activity.
By September, 2007, the similar project putting into operation within Shandong province includes
Gaotang biomass power plant, Shanxian biomass power plant and Kenli biomass power plant operated by
the National Bio Energy Co., Ltd. Those projects are also facing the similar barriers and have been
registered as CDM projects to overcome the barriers.
Sub-step 4b. Discuss any similar options that accruing.
As described above, all similar projects putting into operation within Shandong province are facing the
same barriers and asking additional financial resource from CDM, then the proposed project is not a
common practice.
To summarize, it can be proved that the proposed project meets the additionality criteria in the aspects of
environment, investment and technology.
In conclusion, the proposed project is additional.
B.6. Emission reductions:
B.6.1. Explanation of methodological choices:
>>
Step 0: Grid Boundary Selection
According to the ACM0006, the baseline scenario has been identified as scenario 2, then the CO2
emission factor for the electricity displaced can be calculated as a combined margin following the
guidance of ACM0002 and the net quantity of electricity generation in the project plant is adopted.
According to the version 06 of ACM0002, for the purpose of determining the build margin (BM) and
operating margin (OM) emission factor, a (regional) project electricity system is defined by the spatial
extent of the power plants that can be dispatched without significant transmission constraints. Similarly, a
connected electricity system, e.g. national or international, is defined as a (regional) electricity system
that is connected by transmission lines to the project electricity system and in which power plants can be
dispatched without significant transmission constraints. In determining the project electricity system,
project participants should justify their assumptions. When the application of this methodology does not
result in a clear gird boundary, the following choices could be adopted:
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19
(a) Use the delineation of grid boundaries as provided by the DNA of the host country if available; or
(b) Use, where DNA guidance is not available, the following definition of boundary: In large countries
with layered dispatch systems (e.g. state/provincial/regional/national) the regional grid definition should
be used. A state/provincial grid definition may indeed in many cases be too narrow given significant
electricity trade among states/provinces that might be affected, directly or indirectly, by a CDM project
activity; In other countries, the national (or other largest) grid definition should be used by default.
The Chinese DNA has given its guidance for the grid boundary selection (see also:
https://www.doczj.com/doc/e715349849.html,/WebSite/CDM/UpFile/File1053.pdf ), the Northern China Power Grid (NCPG)
is selected as the grid boundary.
Step 1: Baseline Emission Calculation
Sub-step 1a: Calculate the Operating Margin emission factor (EF OM,y)
According to The Methodology, four alternatives could be used to calculate the OM:
a)Simple OM
b)Simple adjusted OM, or
c)Dispatch Data Analysis OM, or
d)Average OM.
Dispatch data analysis should be the first methodological choice. Where this option is not selected project
participants shall justify why and may use the simple OM, the simple adjusted OM or the average
emission rate method taking into account the provisions outlined hereafter.
The Simple OM method (a) can only be used where low-cost/must run resources constitute less than 50%
of total grid generation in: 1) average of the five most recent years, or 2) based on long-term normals for
hydroelectricity production.
The average emission rate method (d) can only be used where low-cost/must run resources constitute
more than 50% of total grid generation and detailed data to apply option (b) is not available, and where
detailed data to apply option (c) above is unavailable.
The Simple OM, simple-adjusted OM, and average OM emission factors can be calculated using either of
the two following data vintages for years(s) y:
(ex-ante) the full generation-weighted average for the most recent 3 years for which data
are available at the time of PDD submission, if or,
the year in which project generation occurs, if EF OM,y is updated based on ex-post
monitoring.
For The Project, the simple Operating Margin emission factor was chosen based on the following two
reasons:
1.In China, the State Grid Corporation run the interregional dispatch system, and each regional grid
corporation run the intraregional dispatch system. The dispatch information is regarded as business
secrets and not available to the public.
2.For the most recent 5 years (2001-2005), the low-cost/must run resources constitute less than 50% of
total: 3.24%, 4.49%, 5.42%, 5.4% and 5.92% for 2001, 2001, 2002, 2003 and 2005.
As a result, the simple OM method can be used.
page 20
The OM in this PDD is also calculated ex-ante based on the most recent 3 years data.
The Simple OM emission factor is calculated as the generation-weighted average emissions per electricity unit (tCO 2/MWh) of all generating sources serving the system, not including low-operating cost and must-run power plants:
i,j,y i,j
i,j
OM,y
j,y
j
F COEF EF GEN
×=
∑∑
(1)
Where,
F i,j,y is the amount of fuel i consumed (ton for solid and liquid fuel, m 3 for gas fuel) by relevant power sources j in years y ,
j refers to the power sources delivering electricity to the grid, not including low-operating cost and must-run power plants, and including imports to the grid.
COEF i,j,y is the CO 2 emission coefficient of fuel i (tCO 2/t for solid and liquid fuel, tCO 2/m 3 for gas fuel), taking into account the carbon content of the fuels used by relevant power sources j and the percent oxidation of the fuel in years y , and
GEN j,y is the electricity (MWh) delivered to the grid by source j . In the China Electric Power Year Book and other data resources, only generation data is available.
Sub-step 1b. Calculate the Build Margin emission factor (EF BM,y )
According to The Methodology, the BM is calculated as the generation-weighted average emission factor of a sample of power plants m , as follows:
×∑∑i,m,y i,m,y
i,m
BM,y
m,y
m
F COEF EF =
GEN
(2)
Where
F i,m,y is the amount of fuel i (tce) consumed by plant m in year y .
COEF i,m,y is the CO 2 emission coefficient (tCO 2/tce) of fuel i , taking into account the carbon content of the fuels used by plant m and the percent oxidation of the fuel in year y .
GEN m,y is the electricity (MWh) delivered to the grid by plant m , equals to generation minus plant self consumption:
Project participants shall choose between one of the following two options. The choice among the two options should be specified in the PDD, and cannot be changed during the crediting period.
Option 1. Calculate the Build Margin emission factor EF BM,y ex-ante based on the most recent information available on plants already built for sample group m at the time of PDD submission. The sample group m consists of either the five power plants that have been built most recently, or the power plant capacity additions in the electricity system that comprise 20% of the system generation (in MWh) and that have been built most recently. Project participants should use from these two options that sample group that comprises the larger annual generation.
【解析版】山东省滨州市博兴县2019年七年级下期末数学试卷 年七年级（下）期末数学试卷 一、选择题（共12小题，每小题3分，满分36分） 1．数5的算术平方根为（） A． B． 25 C．±25 D．± 2．已知二元一次方程3x﹣y=1，当x=2时，y﹣8等于（） A． 5 B．﹣3 C．﹣7 D． 7 3．在实数：0，，，0.74，π中，无理数有（） A． 1个 B． 2个 C． 3个 D． 4个 4．在平面直角坐标系中，点P在（） A．第一象限 B．第二象限 C．第三象限 D．第四象限 5．下列四个等式：①；②（﹣）2=16；③（）2=4； ④．正确的是（） A．①② B．③④ C．②④ D．①③ 6．不等式组的解集在数轴上的表示是（） A． B． C． D． 7．下列调查中，适宜采用全面调查（普查）方式的是（） A．对全国中学生心理健康现状的调查 B．对我国首架大型民用飞机零部件的检查 C．对我市市民实施低碳生活情况的调查 D．对市场上的冰淇淋质量的调查 8．已知y轴上的点P到原点的距离为5，则点P的坐标为（） A．（5，0） B．（0，5）或（0，﹣5） C．（0，5） D．（5，0）或（﹣5，0）9．等式2x﹣y=10变形为﹣4x+2y=﹣20的依据为（） A．等式性质1 B．等式性质2 C．分数的基本性质 D．乘法分配律
10．如图，直线AB与直线CD相交于点O，OE⊥AB，垂足为O，∠EOD=∠AOC，则∠BOC=（） A． 150° B． 140° C． 130° D． 120° 11．某种商品的进价为80元，出售时标价为120元，后来由于该商品积压，商店准备打折出售，但要保证利润率不低于5%，则售价至少按（） A．六折 B．七折 C．八折 D．九折 12．已知点（1﹣2a，a﹣4）在第三象限，则整数a的值可以取的个数为（） A． 1 B． 2 C． 3 D． 4 二、填空题（共6小题，每小题4分，满分24分） 13．比较﹣与﹣8的大小：﹣﹣8． 14．点P（3a+6，3﹣a）在x轴上，则a的值为． 15．如图，已知AB，CD，EF互相平行，且∠ABE=70°，∠ECD=150°，则 ∠BEC=°． 16．若不等式组的解集是﹣1＜x＜2，则a=． 17．线段AB两端点的坐标分别为A，B（5，2），若将线段AB平移，使得点B的对应点为点C（3，﹣1）．则平移后点A的对应点的坐标为． 18．把m个练习本分给n个学生，如果每人分3本，那么余80本；如果每人分5本，那么最后一个同学有练习本但不足5本，n的值为． 三、解答题（共6小题，每小题10分，满分60分） 19．计算： （1）3+2﹣6 |﹣2|++﹣|﹣2|．
【全国区级联考】山东省滨州市博兴县2017-2018学年七年 级下学期期中考试语文试题 学校:___________姓名：___________班级：___________考号：___________ 一、字词书写 1．阅读下列语段，把拼音所表示的汉字依次写在下面的田字格里。 他从唐诗下手，目不kuī园，足不下楼，兀兀穷年，lì尽心血。杜甫晚年，shū懒得“一月不梳头”。闻先生也总是头发凌乱。他是无xiá及此……饭，几乎忘记了吃，他贪的是精神食粮；夜间睡得很少，为了研究，他惜寸阴、分阴。深xiāo灯火是他的伴侣，因它大开光明之路，“漂白了四bì”。 二、选择题 2．下列加点字的读音完全正确的一项是( ) A．元勋．(xūn) 小楷．(kǎi) 鲜．为人知(xiān) B．愧怍．(zuò) 诘．问(jié) 气冲斗．牛(dòu) C．狂澜．(lán) 浊．流(zhuó) 锲．而不舍(qì) D．哽．咽(ɡěnɡ) 嗥．鸣(háo) 仰之弥．高(mí) 3．填入下面文字中横线上的语句，与上下文衔接最恰当的一项是（）在天山的高处，可以看到巨大的天然湖。① ，使湖光天影山色融为晶莹的一体。在这秀美的湖上，唯一活动的就是天鹅，② 。大地慷慨地赐予人类这宁静的自然环境。 A．①湖面明净如镜，水清见底，高空的白云和四周的雪峰清晰地倒映在水中 ②天鹅的洁白增添了湖水的明净，天鹅的叫声衬托了湖面的幽静 B．①湖面明净如镜，水清见底，高空的白云和四周的雪峰清晰地倒映在水中 ②湖水的明净衬托了天鹅的洁白，湖面的幽静衬托了天鹅的叫声 C．①四周的雪峰和高空的白云被明净如镜、清澈见底的湖水清晰地倒映出来 ②湖水的明净衬托了天鹅的洁白、湖面的幽静衬托了天鹅的叫声
山东省滨州市博兴县魏氏中医眼科简介 魏氏眼科一脉相承，已有近200年历史，历代省市县文史资料都有记载。历代传人医德清高，敦厚纯朴之风，惠及本县及周边县.市的广大人民群众。 魏儒正(1847—1929)，字端溪，生于东姑乡辛安社中辛安村(今属博兴镇)，博兴县魏氏眼科创始人。少年读私塾，中年在县城北关侯门教书。1891年仲秋，因其弟妹偶染目疾，四处求医治疗无效，变作旋螺(角膜穿孔，虹膜脱出)，虽遍访名医，仍不能治愈。此事激发他立志学医，购置数种眼科书籍，刻苦攻读，逐渐精通眼科医术。为其弟妹治眼病，仅年余便痊愈。从此，他更加刻苦学习，认真研读，医
学根底日渐深厚，近村邻舍前来求治眼病的也与日俱增。以致高苑、青城、桓台、长山、无棣、利津、滨县、蒲台等地来就诊者，络绎不绝。 魏儒正行医40余年。花甲年后，开始总结其临床经验。花费五、六年的时间，著成《眼科集要》四卷和诊治杂病的《时疫三书》。(此书现未查清存处)。他的遗作为其后代继承眼科奠定了坚实的基础。 魏儒正不但擅长眼科，对杂病也有丰富的临床经验。登州府教授李卓为《眼科集要》所作序中说：“是医学甚深，不止眼科也。”“盖平时萃群书之义深造，自得左右逢源，宜其应手奏效也。如邑侯王公符之夫人目患，吴公贻甫之痢疾，龙公紫珊之痰喘，谢公伯符之虚劳皆药到病除，余所亲见。” 魏儒正治学严谨，从不掩过饰非。他不但把成功的经验公布于世，而且也把失败的教训告诉他人。晚年他总结出医有十弊：即经理不通，药性欠明，脉诀未晓，虚实不分，轮廓莫辨，药症不投，拘滞成方，昧于权度，翳障误认，补泄错施。给后人留下有益的鉴戒。
其子魏纯讷(1888—1949)字子欲，自幼读私塾，17岁从父学医。由于父亲的身教言传，五、六年时间即掌握了诊治眼病的技能，并能把祖传验方灵活地运用到实践中，取得显著疗效，声誉渐高。 魏纯讷常说：“学贵博而能长，未有不博而能长者也。”他认为，眼虽是局部器官，但和五脏六腑紧密相关。眼科是在内科理论基础上发展起来的。打好内科基础，是学好眼科的根基。所以，他不但主攻眼科专著，而且精心研读《内经》、《伤寒》、《金匮》、《温病》等医著。因而眼科、内科俱佳。 魏纯讷20多岁独立应诊。每天来诊者门庭若市。他一丝不苟，治眼病既切脉又察舌，脉症合参，遣方用药准确，效如桴鼓。他不但全面继承了父亲的医术，且有发展和创新。经多年临床实践，他创制了专治沙眼性血官翳的“拨云丹”眼药。为了方便远道而来的病人，他还苦心研制了治疗内障眼病的“复明丸”和专治小儿眼的“鸡肝散”，临床效果均佳。
山东省滨州博兴县一般公共预算收入和农村居民人均可支配收入3年数据解读报告2019 版
序言 本报告剖析滨州博兴县一般公共预算收入和农村居民人均可支配收入重要 指标即一般公共预算收入，农村居民人均可支配收入等，把握滨州博兴县一般公共预算收入和农村居民人均可支配收入发展规律，前瞻未来发展态势。滨州博兴县一般公共预算收入和农村居民人均可支配收入解读报告数据来 源于中国国家统计局等权威部门，并经过专业统计分析及清洗处理。无数据不客观，借助严谨的数据分析给与大众更深入的洞察及更精准的分析，体现完整、真实的客观事实，为公众了解滨州博兴县一般公共预算收入和农村居民人均可支配收入提供有价值的指引，为需求者提供有意义的参考。 滨州博兴县一般公共预算收入和农村居民人均可支配收入数据解读报告知 识产权为发布方即我公司天津旷维所有，其他方引用我方报告均需注明出处。
目录 第一节滨州博兴县一般公共预算收入和农村居民人均可支配收入现状 (1) 第二节滨州博兴县一般公共预算收入指标分析 (3) 一、滨州博兴县一般公共预算收入现状统计 (3) 二、全省一般公共预算收入现状统计 (3) 三、滨州博兴县一般公共预算收入占全省一般公共预算收入比重统计 (3) 四、滨州博兴县一般公共预算收入（2016-2018）统计分析 (4) 五、滨州博兴县一般公共预算收入（2017-2018）变动分析 (4) 六、全省一般公共预算收入（2016-2018）统计分析 (5) 七、全省一般公共预算收入（2017-2018）变动分析 (5) 八、滨州博兴县一般公共预算收入同全省一般公共预算收入（2017-2018）变动对比分析6 第三节滨州博兴县农村居民人均可支配收入指标分析 (7) 一、滨州博兴县农村居民人均可支配收入现状统计 (7) 二、全省农村居民人均可支配收入现状统计分析 (7) 三、滨州博兴县农村居民人均可支配收入占全省农村居民人均可支配收入比重统计分析.7 四、滨州博兴县农村居民人均可支配收入（2016-2018）统计分析 (8) 五、滨州博兴县农村居民人均可支配收入（2017-2018）变动分析 (8) 六、全省农村居民人均可支配收入（2016-2018）统计分析 (9)
山东省滨州市博兴县2021年七年级(下)期末数学试卷 一、选择题(共12小题，每小题3分，满分36分) 1．数5的算术平方根为() A．B．25 C．±25 D．± 2．已知二元一次方程3x﹣y=1，当x=2时，y﹣8等于() A．5 B．﹣3 C．﹣7 D．7 3．在实数:0，，，0.74，π中，无理数有() A．1个B．2个C．3个D．4个 4．在平面直角坐标系中，点P在() A．第一象限B．第二象限C．第三象限D．第四象限 5．下列四个等式:①；②(﹣)2=16；③()2=4；④．正确 的是() A．①② B．③④ C．②④ D．①③ 6．不等式组的解集在数轴上的表示是() A．B．C． D． 7．下列调查中，适宜采用全面调查(普查)方式的是() A．对全国中学生心理健康现状的调查 B．对我国首架大型民用飞机零部件的检查 C．对我市市民实施低碳生活情况的调查 D．对市场上的冰淇淋质量的调查 8．已知y轴上的点P到原点的距离为5，则点P的坐标为() A．(5，0) B．(0，5)或(0，﹣5) C．(0，5) D．(5，0)或(﹣5，0) 9．等式2x﹣y=10变形为﹣4x+2y=﹣2021据为()
A．等式性质1 B．等式性质2 C．分数的基本性质D．乘法分配律 10．如图，直线AB与直线CD相交于点O，OE⊥AB，垂足为O，∠EOD=∠AOC，则∠BOC=() A．150° B．140° C．130° D．12021 11．某种商品的进价为80元，出售时标价为12021后来由于该商品积压，商店准备打折出售，但要保证利润率不低于5%，则售价至少按() A．六折B．七折C．八折D．九折 12．已知点(1﹣2a，a﹣4)在第三象限，则整数a的值可以取的个数为() A．1 B． 2 C． 3 D． 4 二、填空题(共6小题，每小题4分，满分24分) 13．比较﹣与﹣8的大小:﹣﹣8． 14．点P(3a+6，3﹣a)在x轴上，则a的值为． 15．如图，已知AB，CD，EF互相平行，且∠ABE=70°，∠ECD=150°，则∠BEC=°． 16．若不等式组的解集是﹣1＜x＜2，则a=． 17．线段AB两端点的坐标分别为A，B(5，2)，若将线段AB平移，使得点B的对应点为点C(3，﹣1)．则平移后点A的对应点的坐标为． 18．把m个练习本分给n个学生，如果每人分3本，那么余80本；如果每人分5本，那么最后一个同学有练习本但不足5本，n的值为．
山东省滨州博兴县年末总人口、一般公共预算收入和支出3年数据专题报告2019版
报告导读 本报告全面、客观、深度分析当下滨州博兴县年末总人口、一般公共预算收入和支出现状及趋势脉络，通过专业、科学的研究方法及手段，剖析滨州博兴县年末总人口、一般公共预算收入和支出重要指标即年末总人口，一般公共预算收入，一般公共预算支出等，把握滨州博兴县年末总人口、一般公共预算收入和支出发展规律，前瞻未来发展态势。 滨州博兴县年末总人口、一般公共预算收入和支出专题报告数据来源于中国国家统计局等权威部门，并经过专业统计分析及清洗处理。无数据不客观，借助严谨的数据分析给与大众更深入的洞察及更精准的分析，体现完整、真实的客观事实，为公众了解滨州博兴县年末总人口、一般公共预算收入和支出提供有价值的指引，为需求者提供有意义的参考。 滨州博兴县年末总人口、一般公共预算收入和支出数据专题报告知识产权为发布方即我公司天津旷维所有，其他方引用我方报告均需注明出处。
目录 第一节滨州博兴县年末总人口、一般公共预算收入和支出现状 (1) 第二节滨州博兴县年末总人口指标分析 (3) 一、滨州博兴县年末总人口现状统计 (3) 二、全省年末总人口现状统计 (3) 三、滨州博兴县年末总人口占全省年末总人口比重统计 (3) 四、滨州博兴县年末总人口（2016-2018）统计分析 (4) 五、滨州博兴县年末总人口（2017-2018）变动分析 (4) 六、全省年末总人口（2016-2018）统计分析 (5) 七、全省年末总人口（2017-2018）变动分析 (5) 八、滨州博兴县年末总人口同全省年末总人口（2017-2018）变动对比分析 (6) 第三节滨州博兴县一般公共预算收入指标分析 (7) 一、滨州博兴县一般公共预算收入现状统计 (7) 二、全省一般公共预算收入现状统计分析 (7) 三、滨州博兴县一般公共预算收入占全省一般公共预算收入比重统计分析 (7) 四、滨州博兴县一般公共预算收入（2016-2018）统计分析 (8) 五、滨州博兴县一般公共预算收入（2017-2018）变动分析 (8) 六、全省一般公共预算收入（2016-2018）统计分析 (9)
博兴止河惨案 玉皇堂、小营、道旭三个敌人据点在蒲台县境内构成鼎足之势，道旭、蒲城两个据点扼住黄河南北两岸渡口。蒲台县大部沦为敌占区，对成立不久的蒲台县公安局威胁很大。当时，环境非常恶劣，斗争十分艰苦。公安局经常在蒲台东南边沿地区的季王、三教堂和止河一带与敌周旋。 1942年3月15日，中共蒲台县委和公安局驻扎在止河村。当天晚上，三点半左右，在村东站岗的王寿山忽然听到吱呀咕噜的响声，他立刻喊道：“干什么的？”“老百姓，耩地的。”对方回答。王寿山猫着腰观察，模模糊糊地看到不少人，前拉砘子后扛耧，鬼鬼祟祟地向他跟前移动，心想：哪里来的这些砘地的，砘地不到坡里去进村干什么？想到这里，他立刻从腰里抽出一颗手榴弹，大声喊：“站住，过来一个！”真的走来一个，可这人却老是从阴影里往前。小王急了，连忙喊：“举起手来！”这个人果然举起手来，并在头顶上方拍了几下，继续朝前走。一阵风掠起一缕柳丝，月光照在这人身上。小王趁着月光一看，不禁打了一个寒颤，原来这家伙脖子上挂了匣枪，正幽灵般地向他扑来。小王扭头就向学校大门跑去，想占据有利地形阻击。敌人见抓活的不成，就朝他开了一枪，子弹从他耳旁飞过，打在前面的石灰墙上。小王占据了校门，使出全身的力气，抛出了一颗手榴弹。敌人卧倒，接着密集的子弹打得校门的石灰墙皮四处飞溅，将小王压缩在校门内不敢露头，在这千钧一发之际，我公安局战士听到枪声后
也拉了出来，同敌人展开了巷战。小王急中生智，大声喊道：“向这里冲啊！”这一喊，还真灵，敌人的枪声停止了，一个个忙从地上爬起来，拖着长枪，提着匣枪，奔向村头的墙后。就在这时，战士焦树林的折枪打响了。原来，焦树林早知小王在村东头站岗，听到枪声，很不放心，便主动请示班长去接应小王回来。他借阴影顺南墙根冲到校门，他俩以墙角为掩体，向敌人射击。边打边撤，决定立刻摆脱敌人，找局长和队长去。 他俩离开校门，一口气跑到驻地一看，已是人去屋空。听到周围的动静，便向着枪声密集的方向跑去。拐过墙角，正好碰上曹队长率领战士向北突围未成，刚退回来。曹队长一看到他们俩连忙喊道：“快跟我来！”他们跟曹队长从后街又向西冲，子弹刮风似的射过来，一颗子弹击中了曹队长的头部，鲜血顺着面颊流下来。小王扑上去抱起曹队长的胳膊就哭起来。曹队长大声说：“快，快包扎起来！”小王忙解下自己的扎腿带子给曹队长包扎好。他们十多人顺街向西匍匐前进，迂回到大湾又向南去。不料竟被敌人封锁了出路，枪声响成一片，他们被迫又推到村北。不知怎的，此时村北的敌人很少了，曹队长喊道：“快，顺抗日沟撤出去。” 顺抗日沟向北三里路，就是蒲台县抗日根据地三个村庄之一的三教堂。他们顺沟向北走了不到一里路，就听到村南手榴弹、步枪、机枪响成一团，“冲啊！杀呀！抓活的。”喊声四起。曹队长料定陈局长就在村南，于是决定组织力量，再冲进去。恰巧，县委书记王友勤带
博兴特色——柳编 柳编技艺是我国传统的手编技艺，经过历代艺人的传承发展，凝聚了广大劳动人民的心血和汗水。绿柳丛生的博兴大地孕育着博兴柳编800多年的传承历史，博兴县是柳编技术分布的核心区域，并流传至周边地区。同时，河南、河北、山西、江苏等省也有分布。博兴柳编历经数代民间艺人的传承、革新，成为具有广泛代表性的民间艺术形式，其实用价值、审美价值和社会价值得到普遍认可。 博兴柳编是简单的工具与高超技艺的结合，是实用性与审美的结合，并通过编织技艺的革新，在编织结构上和制品形式上创造出许许多多不同类型的产品，满足了群众生产和生活需要。柳编工艺品是柳编技艺的载体，以柳树枝条为原材料，采用多种编织手法编制的居家日用的各种工艺品，产品远销美国、日本、西欧等20多个国家和地区，深受群众喜爱，年出口创汇额达800万美元。博兴县早在1996年就被山东省文化厅命名为山东民间草柳编艺术之乡，经过近年来的发展，已成为远近闻名的“柳编之乡”。 柳编的起源可追溯到旧石器时代早期，原始人在从事采集作物的过程中制作各种容器和包装物，采用有韧性的植物，借助初步掌握的编织方法，制作出不同类型的柳编产品，逐步满足人类的生产和生活需要。 从奴隶社会到战国时期，柳编制品在人们生活中普遍使用。成书于战国初的《左传》中已有“箧”的记载。据考证，用柳条编织的箧，是采用柳、线混编，将麻线所具有的强拉力与柳条的韧性、弹性结合于一体，使柳编工艺向前迈进了一大步。值得一提的是，见于史籍的柳编工艺品，最有名的是“杯”。“杯”是先用柳条编成各种杯、盘等日用器皿，再用油漆加工成成
品。这种柳编制品不但耐用，而且美观。当时著名思想家孟子对于“杯”有记叙。 南北朝时期，柳编使用的“柳罐”，因其编织紧密，坚实耐用，可以用来打水灌溉农田、盛放农产品和挑运谷物等。后魏贾思勰在他的名著《齐民要术》作了详述。 唐代出现的“栲栲”，又称笆斗，是农家扛运粮食、盛放农产品的主要用具之一，也是人们在粮食交易中常用的量具之一。在现代社会中，栲栲已不再作为量具，但是作为一种农村家庭日用器具，至今仍被广泛使用。 宋代以后，柳编制品已比较广泛用于各个方面，现农村使用的各种柳编器具，那时基本上都已经流行使用了。北宋画家张择端在其风俗长卷《清明上河图》上，画了当时平民常用的许多柳编制品，主要有挑篮、挑筐、车筐等，其形态和编织纹路与现今我国北方常用的同类柳编制品基本相似。元代著名农学家王祯对柳编制品也作了比较详细的文字介绍。 据《博兴县志》载：博兴柳编技艺“在县内已有800多年的历史，它发祥于兴福镇一带。最早有一王姓青年，他用柳条编制的筐、篮、篓、箢等器具，巧夺天工，人称‘王缠’。至今人们仍塑其像、燃香火纪念他”。博兴县民间柳编技艺源于兴福镇“王缠”，民间还有不少的故事，传说王缠自幼丧父，他与母亲相依为命，家境贫寒，俗话说“穷人的孩子早当家”，从小他就非常的节俭，自己家的许多小农具都是他制作的。有一次在地里干活，干了一段时间之后，他很累了，蹲在地头歇息，随便从地头折了柳条玩。在手里晃来晃去，他发现柳条非常的柔软，随突发奇想，为何不用柳条编制几个筐子呢，以后运送肥料或者收获地瓜的时候用那多方便呀。于是他就在干
风险评估报告
山东博兴胜利科技有限公司提盐车间 2015年2月 1、目的 为了规范车间风险管理，识别和评价作业过程中危险有害因素，消除和减少安全事故的发生，降低安全风险，
达到事前预防的目的。 2、范围 提盐车间的整个生产运行管理（脱硫废液的接收、自滤、脱色、蒸发、硫代结晶及分离、硫氰结晶与离心机分离。 3、评价依据 《中华人民共和国安全生产法》；《中华人民共和国消防法》； 《建筑设计防火规范》；建筑灭火器配置设计规范》； 《其他相关法律、法规和标准； 本公司的安全管理制度、标准和技术标准。 4、风险评价程序和评价方法 4.1风险评价程序见下表： 组成评价小组 收集资料、现场检查 事故类型 危害辨识 影响因素、事故机制
4.2风险评价方法 风险评价是对事故发生的可能性以及事故后果的严重程度进行评价，常用的方法有：工作危害分析（JHA）、安全检查表分析（SCL）、预危险性分析（PHA）、危险与可操作性分析（HAZOP）、失效模式与影响分析（FMEA）、事件树分析（ETA）、事故树分析（FTA）、作业条件危险性评价（LEC）等。 根据车间实际情况，风险评价小组主要选择工作危害分析法（JHA）进行风险评价，同时选择 JHA评价方法确
定风险等级。 提盐车间生产风险评价小组 姓名职务签字 评价组组长李明山副总工 成员孟祥卫副主任 王卫东甲班班长 李爱国乙班班长 李涛丙班班长 于美娜化验员 高小娟化验员 4.2.1安全检查表分析法：安全检查表分析法是一种经验的分析方法，是分析人员针对分析的对象列出一些项目，识别与一般工艺设备和操作有关已知类型的危害、设计缺陷以及事故隐患，查出各层次的不安全因素，然后确
2020年山东省滨州市博兴县八校联考中考数学模拟试卷（5月份） 一、选择题（本题包括12个小题，每题3分，共36分） 1．在下列实数：、、、、、﹣0.0010001中，有理数有（） A．1个B．2个C．3个D．4个 2．下列计算：①（﹣）2＝；②﹣32＝9；③（）2＝；④﹣（﹣）2＝；⑤（﹣2）2＝﹣4，其中错误的有（） A．5个B．4个C．3个D．2个 3．若点（2，y1）、（﹣1，y2）、（﹣2，y3）在反比例函数y＝﹣的图象上，则下列结论正确的是（）A．y1＞y2＞y3B．y2＞y1＞y3C．y2＞y3＞y1D．y3＞y2＞y1 4．如图，AD∥BC，∠ABC的角平分线BP与∠BAD的角平分线AP相交于点P，作PE⊥AB于点E．若PE＝2，则两平行线AD与BC间的距离为（） A．4B．5C．6D．7 5．已知抛物线y＝x2﹣2x+1与x轴的一个交点为（m，0），则代数式m2﹣2m+2010的值为（）A．2008B．2009C．2010D．2011 6．已知点P（2a+1，1﹣a）在第一象限，则a的取值范围在数轴上表示正确的是（）A．B． C．D． 7．如图，小明在操场上画了一个半径分别为1，2，3的同心圆的图案，现在往这个图案中随机扔一颗石子，这颗石子恰好落在区域C中的概率是（）
A．B．C．D． 8．一次函数y＝ax+b（a≠0）与二次函数y＝ax2+bx+c（a≠0）在同一平面直角坐标系中的图象可能是（）A．B． C．D． 9．图形都是由同样大小的棋子按一定的规律组成，其中第①个图形有1颗棋子，第②个图形一共有6颗棋子，…，则第⑦个图形棋子的个数为（） A．76B．96C．106D．116 10．如图，在直角△BAD中，延长斜边BD到点C，使DC＝BD，连接AC，若tan B＝，则tan∠CAD的值（） A．B．C．D． 11．已知二次函数y＝ax2+bx+c（a≠0）的图象如图所示，则下列结论： ①abc＜0； ②b2﹣4ac＜0； ③2a+b＞0；④a﹣b+c＜0，其中正确的个数（）
2014年山东滨州博兴县事业单位招考复习资料 一、逻辑填空 1根据历史上的真人真事进行文艺创作时，为了使人物表现得更为，可以对人物进行符合本身和时代背景的“适当”创作，但是大的历史事实、人物命运、主要矛盾、重要事件都必须符合历史，不能对历史人物的“人生层面”进行和歪曲。 依次填人划横线部分最恰当的一项是( )。 A.完整杜撰 B.真实虚构 C.形象改编 D.丰满臆造 参考答案：D 参考解析:历史人物本身就是最完整和最真实的，“适当”创作不可能在这两个方面有所超越，而只能使人物形象更丰满更有血有肉，因此，可排除A、B两项。从词语的感情色彩上看，第二个空应与“歪曲”一样是贬义词，“改编”是中性词，“臆造”指无根据的创造，是贬义词，符合题意。故选D。 2为了抵御金融危机，各国政府共同放松信贷、降低利率、发行货币。就是为了加大流动性，满足资本盈利的要求。可是，这无疑是种的方法，因为，资本在获得利润满足后必然把更大的危机丢给社会。 填人划横线部分最恰当的一项是( )。 A.饮鸩止渴 B.亡羊补牢
C.杀鸡取卵 D.竭泽而渔 参考答案：A 参考解析:本题属于成语辨析题。“饮鸩止渴”意思是喝毒酒解渴，比喻用错误的办法来解决眼前的困难而不顾严重后果。“亡羊补牢”比喻出了问题以后想办法补救，可以防止继续受损失。“杀鸡取卵”比喻贪图眼前的好处而不顾长远利益。“竭泽而渔”比喻做事不留余地，只顾眼前利益，不顾长远打算。根据文中的“必然把更大的危机丢给社会”，可知政府采取的办法是错误的，解决了当前问题却不顾后果，显然用“饮鸩止渴”更符合文意。故选A。 3崛起最本质的意义，是在体系中相对力量的快速增强。有力量是一件好事，但可能是一件坏事。崛起带给中国决策层和知识分子最的议题之一是：如何看待中国力量的快速增长?更进一步，中国应该如何运用已经或即将获得的力量? 依次填人划横线部分最恰当的一项是( )。 A.既定多半迫切 B.现有自然现实 C.当前也许棘手 D.固有通常严峻 参考答案：A 参考解析:根据“但可能是一件坏事”，第二个空可以排除“自然”和“通常”;崛起的突出特点是力量的“快速”增长，以“快速”为突破口，第三个空应选用
山东省滨州博兴县一般公共预算收入和支出3年数据分析报 告2019版
报告导读 本报告针对滨州博兴县一般公共预算收入和支出现状，以数据为基础，通过数据分析为大家展示滨州博兴县一般公共预算收入和支出现状，趋势及发展脉络，为大众充分了解滨州博兴县一般公共预算收入和支出提供重要参考。滨州博兴县一般公共预算收入和支出数据分析报告对关键因素一般公共预算收入，一般公共预算支出等进行了分析和梳理并进行了深入研究。 滨州博兴县一般公共预算收入和支出数据分析报告知识产权为发布方即我公司天津旷维所有，其他方引用我方报告均需注明出处。 报告力求做到精准、精细、精确，公正，客观，报告中数据来源于中国国家统计局、相关行业协会等权威部门，并借助统计分析方法科学得出。相信滨州博兴县一般公共预算收入和支出数据分析报告能够帮助大众更加跨越向前。
目录 第一节滨州博兴县一般公共预算收入和支出现状 (1) 第二节滨州博兴县一般公共预算收入指标分析 (3) 一、滨州博兴县一般公共预算收入现状统计 (3) 二、全省一般公共预算收入现状统计 (3) 三、滨州博兴县一般公共预算收入占全省一般公共预算收入比重统计 (3) 四、滨州博兴县一般公共预算收入（2016-2018）统计分析 (4) 五、滨州博兴县一般公共预算收入（2017-2018）变动分析 (4) 六、全省一般公共预算收入（2016-2018）统计分析 (5) 七、全省一般公共预算收入（2017-2018）变动分析 (5) 八、滨州博兴县一般公共预算收入同全省一般公共预算收入（2017-2018）变动对比分析6 第三节滨州博兴县一般公共预算支出指标分析 (7) 一、滨州博兴县一般公共预算支出现状统计 (7) 二、全省一般公共预算支出现状统计分析 (7) 三、滨州博兴县一般公共预算支出占全省一般公共预算支出比重统计分析 (7) 四、滨州博兴县一般公共预算支出（2016-2018）统计分析 (8) 五、滨州博兴县一般公共预算支出（2017-2018）变动分析 (8) 六、全省一般公共预算支出（2016-2018）统计分析 (9)
博兴水的盛名由来 (2013-09-20 07:31:44)转载▼ 博兴县位于黄河南岸\泰岱之阴的黄泛平原与山麓平原衔接地带，方圆区区900平方公里，人口不足50万，常年平均降雨不足600毫米，是一个典型的内陆季风干旱地区。然而，自古至今，博兴以水盛名。汉唐博昌（今博兴县）茫然巨浸，以水泊屏障盛名朝廷上下；元代博兴，锦秋湖色，渔米飘香，以便利水上交通闻名；明清博兴，洪灾频发，民不聊生，以清河两岸七邑之最苦闻名；新中国之博兴，以大型水利工程扬名，博兴水流溉胶东半岛，享誉全国。籍此，我们不妨沿着历史的经纬，走进历史的峡谷，探幽其源缘流脉，以飨广大读者。 一、汉唐博昌，茫然巨浸。五代以前博兴县称谓博昌，《十三州志》曰“昌水其势平博，故曰博昌。”然《汉书·地理志》博昌下应劭曰：“昌水出东莱昌阳。”古代东莱昌阳县，当在今威海、莱阳地区，昌水似不及博兴，所以，西晋学者臣瓒曰：“从东莱到博昌，经历宿水不得至也，取其嘉名耳。”然汉代博昌诸水汇流，泊大平阔也是历史事实，古人之所以把置县称谓博昌显然是与水有联系的。从汉代置博昌县，至五代避后唐主李国昌讳改为博兴，以水名县近千年。 《汉书》卷五十八．卜式传载：青州人，卜式，德行高尚，以牧羊为生，不吝钱财，其收入钱财屡屡捐资官府或赈灾或馈赠他人，对国家十分忠诚。当他听说南越国权臣吕嘉发动政变造反，不服汉朝廷所辖制，就主动上书皇帝请缨“臣，愿与子男携临淄习弩、博昌习船者”参加征讨，为朝廷分忧。既然博兴习船者能够让卜式组成一支队伍响应朝廷征讨，可见当时博兴一定水泊深阔，以舟渔谋生者众多而闻名遐迩，所以才为卜式敢以借重以向朝廷请缨。 《杂传》记载：“王师范据青州叛，恃博昌水而不备于北。”王师范，唐末，青州人，平卢节度使。他以据青州效忠皇上，抵抗叛军朱友宁部。“恃博昌水而不备于北”说明唐末的时候，博昌水并不是十里八里之深阔，而应是方圆百里或数百里之广淼。今天我们不敢妄断其似八百里洞庭之浩瀚，然若与宋代四百里之梁山泊可能有一比。因为青州距博昌有二百里之遥，博昌位于西北方向，东邻渤海莱州湾百里之迩，西望黄河，南近岱阴余脉的山隘，博昌水当年有可能是东接大海，西连河或山隘，横亘数百里间的天然军事屏障，否则，就不可能达到不设防的程度。所以明代博兴籍进士、陕西太仆卿顾铎推断：博兴时当茫然巨浸，一片汪洋浩渺大水，是为叛军或朝廷内外所非常顾忌的一泊天然屏障。 二、元代博兴，渔米飘香。元及明初是博兴历史上唯一以州建制的时期。元代只所以以州设制，是由博兴当时的重要地位所决定的。自金代小清河开通以来，漕运兴盛，特别海盐是关系民生、战争和皇室财政的战略物资，其运输全靠水道。青州海盐下自青州沿海，上达济南转输大清河可抵著名的张秋码头（在今阳谷县张秋镇），再经大运河、黄河等转运兖、徐、扬、梁、雍或北去邯郸、大名等地，成为金元时期重要的水上交通要道和经济命脉，素有小盐河之称。博兴处在小清河中段东西、南北相交的T型枢纽位置。这从元代地
第1页，总17页 …………○…………外…………○…………装…………○…………订…………○…………线…………○………… 姓名：____________班级：____________学号：___________ …………○…………内…………○…………装…………○…………订…………○…………线…………○………… 山东省博兴县2018-2019学年七年级下学期数学期中考试试 卷 考试时间：**分钟 满分：**分 姓名：____________班级：____________学号：___________ 题号 一 二 三 四 五 总分 核分人 得分 注意 事项： 1、 填 写 答 题 卡 的 内 容 用 2B 铅 笔 填 写 2、提前 15 分钟收取答题卡 第Ⅰ卷 客观题 第Ⅰ卷的注释 评卷人 得分 一、单选题（共12题) 1. 直线a 、b 、c 、d 的位置如图，如果∠1=100°，∠2=100°，∠3=125°，那么∠4等于（ ） A . 80° B . 65° C . 60° D . 55° 2. 在平面直角坐标系中，点 所在的象限是( ) A . 第一象限 B . 第二象限 C . 第三象限 D . 第四象限 3. 在3.14， ，0.2020020002这七个数中，无理数有( ) A . 1个 B . 2 个 C . 3 个 D . 4 个 4. 的平方根等于 ( ) A . 2 B . -4 C . D . 5. 二元一次方程组 的解是 （ ）
答案第2页，总17页 ………○…………外…………○…………装…………○…………订…………○…………线…………○………… ※※请※※不※※要※※在※※装※※订※※线※※内※※答※※题※※ ………○…………内…………○…………装…………○…………订…………○…………线…………○………… A . B . C . D . 6. 在下列四个图案中，能用平移变换来分析其形成过程的图案是 ( ) A . B . C . D . 7. 如图，∠ABC 中，∠C=90°，则点B 到直线AC 的距离是 ( )的长度 A . 线段 A B B . 线段 A C C . 线段 BC D . 无法确定 8. 下列命题：（1）两直线平行，内错角相等；（2）如果m 是无理数，那么m 是无限小数；（3）64的立方根是8；（4）同旁内角相等，两直线平行；（5）如果a 是实数，那么 是无理数．（6）平面内的一条 直线和两条平行线中的一条相交，则它与另一条也相交；（7）直线外一点到这条直线的垂线段，叫做该点到直线的距离；（8）过一点作已知直线的平行线，有且只有一条．其中是真命题的有（ ） A . 0 个 B . 1 个 C . 2 个 D . 3 个 9. 点P 在第二象限，若该点到x 轴的距离为3，到y 轴的距离为1，则点p 的坐标是 ( ) A . (-1,3) B . (-3,1) C . (3,-1) D . (1,3) 10. 由方程组 可得出x 与y 之间的关系是( )． A . x ＋y ＝1 B . x ＋y ＝－1 C . x ＋y ＝7 D . x ＋y ＝－7 11. 如图，如果AB//EF ，CD//EF ， 下列各式正确的是 ( ) A . B . C . D .
山东省滨州市博兴县2019-2020学年九年级上学期期中数学试卷 一、选择题（本大题共12小题，共36.0分） 1.方程(m?2)x2+3mx+1=0是关于x的一元二次方程，则() A. m≠±2 B. m=2 C. m=?2 D. m≠2 2.下列图形中，属于中心对称图形，但不属于轴对称图形的是() A. B. C. D. 3.已知扇形半径为3，弧长为π，则它所对的圆心角的度数为() A. 120° B. 60° C. 40° D. 20° 4.一元二次方程a2x2+2(a+1)x+1=0有实数根，则a的取值范围是() A. a≤?1 2B. a≥?1 2 ，且a≠0 C. a≥?1 2D. a≤1 2 且a≠0 5.在一幅长60dm宽40dm的庆祝建国70周年宣传海报四周镶上相同宽度的金色纸片制成一幅矩 形挂图．要使整个挂图的面积为2800dm2，设纸边的宽为xdm，则可列出方程为() A. (60+x)(40+x)=2800 B. (60?x)(40?x)=2800 C. (60+2x)(40+2x)=2800 D. (60?2x)(40?2x)=2800 6.如图，已知⊙O是△ABC的外接圆，⊙O的半径为4，AB=4，则∠C为()
A. 30° B. 45° C. 60° D. 90° 7.已知二次函数y=ax2+bx+c的图象与x轴交于点(?2,0)、(x2,0)，且1
华图网校：https://www.doczj.com/doc/e715349849.html, 2014年山东滨州博兴县事业单位招聘公告根据《事业单位人事管理条例》(国务院令第652号)、《中共山东省委组织部山东省人力资源和社会保障厅关于加强事业单位人事管理的意见》(鲁人社发[2013]13号)和滨州市事业单位公开招聘工作人员的有关规定，经县委、县政府同意，决定公开招聘部分事业单位工作人员，现结合实际，制定本简章。 一、招聘计划 2014年全县事业单位计划公开招聘工作人员141名，其中县直事业单位15名，教育系统70名，卫生系统21名，市技师学院19名，镇、办事业单位16名。招聘岗位及有关具体要求，详见《2014年博兴县事业单位公开招聘工作人员计划表》。 二、招聘范围和条件 1、拥护中国共产党的领导，热爱社会主义。 2、遵纪守法，品行端正，政治表现好，积极维护社会稳定。
华图网校：https://www.doczj.com/doc/e715349849.html, 3、身体健康，滨州市户籍，大学专科及以上学历，年龄30周岁(1984年9月1日及以后出生)以下。硕士研究生和2014年全日制应届毕业生户籍不限。 4、报考县直高中的，须取得中华人民共和国高级中学教师资格证书。报考镇、办中小学的，须取得中华人民共和国教师资格证书。 5、师范院校毕业生所学专业与所报学科相同的，按所学专业报名，所学专业在报考学科中没有的，以教师资格证书专业为准，报考相近学科。取得幼儿教师资格的可任选镇办招聘专业报名。非师范院校毕业生所报学科必须同教师资格证书专业一致。 6、具备招聘岗位规定的专业、学历要求和其他条件。 机关事业单位正式工作人员不得报考。曾受过刑事处罚和曾被开除公职的人员、现役军人、全日制普通高校在读学生、在公务员招考和事业单位公开招聘中被招考(聘)主管机关认定有作弊行为以及法律规定不得应聘的其他情形的人员，不能报考。应聘人员不能报考与本人有应回避亲属关系的岗位。
龙源期刊网 https://www.doczj.com/doc/e715349849.html, 汉代孝子董永的故里——山东省博兴县 作者： 来源：《农村百事通》2013年第21期 山东省博兴县位于鲁北平原黄河下游南岸，地处黄河经济带与环渤海经济区的接合部，京津唐和山东半岛两大经济区的交汇处，与淄博市、东营市相邻。 博兴县历史悠久，文化灿烂。远在四千多年前的新石器时代，境内已是父系氏族社会。周代即为东方大国蒲姑国治所所在地，齐国曾在此建都，春秋末置博昌邑，战国置博昌县，五代后唐时改博昌为博兴至今。博兴是汉代孝子董永的故里，中国优秀传统剧种——吕剧的发祥地，中国戏曲之乡，孝文化、戏文化、佛文化闻名国内外。 博兴县境内土地肥沃，适种性广，宜耕期长，盛产小麦、棉花、大豆、玉米以及林果、蔬菜等多种农副产品，是山东省重要的粮棉生产基地和无公害蔬菜生产基地。沿黄河一带生产的大米，米质优良，香气浓郁，远销京、津、沪等省市，声誉极高。博兴县是闻名遐尔的“中国优质西红柿之乡”，所产的“绿康”牌西红柿和“好爽”牌无子西瓜享誉省内外。博兴县是全国草 柳编工艺品出口基地和全国蒲草系列工艺制品唯一的产地。目前已发展到15大系列200多个花色品种，产品以精湛的技艺、优美的造型赢得国内外客商的好评，远销世界40多个国家和地区。 博兴县矿藏丰富——境内主要有石油、天然气和沙砾等矿产资源。其中，石油和天然气资源储量丰富。中国第二大油田──胜利油田的前线基地就设在博兴县陈户镇、纯化镇。县内油井林立，输油、气管道纵横，目前已发现含油面积100余平方公里，井口达800余眼，是胜利油田的重要产油区。 博兴特产有麻大湖白莲藕，莲藕九孔，白嫩多汁，甜脆无渣，营养丰富。生吃清脆爽口，余香绕舌。博兴县是鲁西最大的辣椒交易市场，年产5000吨以上。千张粉皮盛产于滨州市博兴县店子镇的张侯、九台等村庄。以绿豆为原料，精工制作而成。其特点是薄而透明，耐煮耐炖，是凉拌、烹炒和做汤的佳品。 近年来兴起的山东省民俗旅游点寨郝村、柳桥村，村舍典雅，民情淳朴，国内外游客络绎不绝。
山东省滨州市博兴县六年级（上）期末数学试卷 一、动脑筋填一填，比比谁最棒 1．（3分）40的是，比40多，50比少． 2．（1分）一根绳子长10米，用去25%，剩米． 3．（2分）一个钟表，时针长8厘米，12小时时针尖端走动了厘米，时针所扫过的地方有平方厘米． 4．（2分）如果甲是乙的，那么甲：乙＝： 5．（1分）种树350棵，成活350棵，成活率是． 6．（4分）÷6＝0.5＝%＝20： 7．（2分）乐乐把一个圆平均分割成若干个小扇形后，拼成一个近似长方形的长约为 31.4cm．这个长方形的周长约是cm，这个圆的面积是cm2． 8．（1分）一桶水重10千克，用去它的后，又用去2千克，还剩千克． 9．（1分）如图：一个圆的周长是25.12cm，在这个圆里画一个最大的正方形，正方形的面 积是cm2． 10．（1分）用一根铁丝围成一个三角形，三条边长度的比是4：5：7．已知最长边的长度比最短的边长9厘米，这根铁丝长厘米． 11．（1分）前项是15，后项是27，如果比的前项减10，要使比值不变，比的后项应减．二、填空题（共5小题，每小题2分，满分10分） 12．（2分）一个真分数乘一个假分数，积一定大于这个真分数．．（判断对错）13．（2分）学校今年种105棵小树，全部成活，成活率是105%．．（判断对错）14．（2分）周长相等的正方形和圆，面积也相等．．（判断对错） 15．（2分）妈妈和小丽今年的年龄比是5：1，5年后他们的年龄比会发生变化（判断对错） 16．（2分）女生人数的相当于男生人数，这句话中把男生人数看作单位“1”（判断对错）
三、动动脑筋，考虑好了再选择．（10分） 17．（1分）在3.14，314%，π这三个数中，最大的数是（） A．3.14B．314%C．π 18．（1分）一本故事书已看的页数和未看页数的比是2：3，下面说法错误的是（）A．已看的页数是未看页数的 B．已看的页数比未看的页数少 C．已看了全书页数的 D．全书还有没有看 19．（1分）商店售出的两件衣服都是120元，一件赚了15%，另一件亏了15%，商店是（）A．赚了B．亏了C．不亏也不赚D．无法确定20．（1分）（）可能达到100%． A．出油率B．出米率C．及格率 21．（1分）在一张长6厘米，宽4厘米的长方形纸上剪一个面积最大的圆，这个圆的面积是（）cm2． A．28.26B．12.56C．50.24 22．（1分）甲数是40，乙数是35，（40﹣35）÷40＝5÷40＝12.5%表示（）A．乙数比甲数少12.5%B．甲数比乙数多12.5% C．乙数是甲数的12.5%D．甲数是乙数的12.5% 23．（1分）生物组养红金鱼48条，黑金鱼的数量是红金鱼的，花金鱼的数量是黑金鱼的，_____？根据算式48××选择问题是（） A．黑金鱼有多少条？B．花金鱼有多少条？ C．红金鱼有多少条？ 24．（1分）一桶油50升，第一次倒出总数的，第二次倒出余下的，第一次与第二次比较（） A．第一次倒出的多B．第二次倒出的多 C．一样多 25．（1分）下列说法错误的是（）