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气象参数整理

气象参数整理
气象参数整理

STATION_ID

NAME PROVINCE LATITUDE LONGITUDE ELEVATION AIR_PRESSURE W_T_HEATING 50136漠河黑龙江52.97122.52433.0097524.7-37.250353呼玛黑龙江51.72126.65177.4099186.3-33.350434图里河内蒙古50.48121.68732.6092705.4-34.950514满洲里内蒙古49.57117.43661.7093637.0-28.650527海拉尔内蒙古49.22119.75610.2094192.7-31.550557嫩江黑龙江49.17125.23242.2098433.4-30.550564孙吴黑龙江49.43127.35234.5098487.8-30.850632博克图内蒙古48.77121.92739.7092647.9-26.250658克山黑龙江48.05125.88234.6098504.7-27.250727阿尔山内蒙古47.17119.93997.2089549.6-32.350742富裕黑龙江47.80124.48162.7099429.2-2650745齐齐哈尔黑龙江47.38123.92147.1099649.6-23.750756海伦黑龙江47.43126.97239.2098506.0-27.250788富锦黑龙江47.23131.9866.40100552.5-24.650834索伦内蒙古46.60121.22499.7095479.9-22.550854安达黑龙江46.38125.32149.3099600.8-24.850873佳木斯黑龙江46.82130.2881.20100386.4-23.850915东乌珠穆沁旗内蒙古45.52116.97838.9091777.7-26.350936白城吉林45.63122.83155.3099591.4-21.850949前郭尔罗斯吉林45.08124.87136.2099816.1-21.850950肇州黑龙江45.70125.25148.7099647.0-22.850953哈尔滨黑龙江45.75126.77142.3099616.3-24.150963通河黑龙江45.97128.73108.60100140.2-26.250968尚志黑龙江45.22127.97189.7099222.8-25.650978鸡西黑龙江45.28130.95238.3098596.0-21.451076阿勒泰新疆47.7388.08735.3093431.5-24.351087富蕴新疆46.9889.52807.5092661.9-28.851133塔城新疆46.7383.00534.9095663.4-18.951156和布克赛尔新疆46.7885.721291.6087253.4-18.651243克拉玛依新疆45.6284.85449.5096901.5-21.951334精河新疆44.6282.90320.1098336.9-21.951346乌苏新疆44.4384.67478.7096449.6-21.351431伊宁新疆43.9581.33662.5094171.1-16.451463乌鲁木齐新疆43.7887.65935.0091835.2-19.551567焉耆新疆42.0886.571055.3089647.5-15.951573吐鲁番新疆42.9389.2034.50101285.1-12.551628阿克苏新疆41.1780.231103.8089130.0-12.351644库车新疆41.7283.071081.9089375.2-11.251709喀什新疆39.4775.981289.4087198.6-10.451716巴楚新疆39.8078.571116.5088924.5-9.951765铁干里克新疆40.6387.70846.0091921.4-12.351777若羌新疆39.0388.17887.7091416.7-11.451811莎车新疆38.4377.271231.2087737.8-9.851828和田新疆37.1379.931375.0086230.7-8.651839民丰新疆37.0782.721409.5085833.5-9.852203哈密新疆42.8293.52737.2093098.1-1652267额济纳旗内蒙古41.95101.07940.5090902.7-15.952418敦煌甘肃40.1594.681139.0088754.3-12.6

基站编号基站名字所在省份纬度经度海拔(m)

全年平均大

气压

采暖室外

计算温度

(℃)

52436玉门镇甘肃40.2797.031526.0084720.8-15 52495巴音毛道内蒙古40.17104.801323.9086785.3-16.3 52533酒泉甘肃39.7798.481477.2085266.9-14.3 52602冷湖青海38.7593.332770.0072871.2-16.7 52681民勤甘肃38.63103.081367.5086387.3-13.3 52713大柴旦青海37.8595.373173.2069223.0-17.9 52754刚察青海37.33100.13-3301.5068058.2-16.9 52787乌鞘岭甘肃37.20102.873045.1070407.4-17.4 52818格尔木青海36.4294.902807.6072471.4-12.6 52836都兰青海36.3098.103191.1069121.9-14.5 52866西宁青海36.72101.752295.2077414.1-11.4 52876民和青海36.32102.851813.9081857.0-10.1 52889兰州甘肃36.05103.881517.2084819.6-8.8 52943兴海青海35.5899.983323.2068120.2-15.6 52983榆中甘肃35.87104.151874.4081160.7-11.6 53068二连浩特内蒙古43.65111.97964.7090508.7-24.1 53192阿巴嘎旗内蒙古44.02114.951126.1088790.7-27.2 53231海力素内蒙古41.40106.401509.6084859.1-19.8 53276朱日和内蒙古42.40112.901150.8088542.5-21.2 53336乌拉特后旗内蒙古41.57108.521288.0087124.8-19.3内蒙古41.70110.431376.6086232.8-21.1 53352达尔罕联合旗

53391化德内蒙古41.90114.001482.7085009.0-21.9 53399张北河北41.15114.701393.3085992.8-21.6 53463呼和浩特内蒙古40.82111.681063.0089612.7-16.8 53487大同山西40.10113.331067.2089525.1-16.3 53502吉兰太内蒙古39.78105.751031.8089946.6-14.8 53529鄂托克旗内蒙古39.10107.981380.3086233.5-16 53543东胜内蒙古39.83109.981461.9085399.0-16.6 53614银川宁夏38.48106.221111.4089085.7-12.9 53646榆林陕西38.23109.701057.5089690.4-14.9 53673原平山西38.73112.72828.2092118.7-12.2 53698石家庄河北38.03114.4281.00100715.2-6 53723盐池宁夏37.80107.381349.3086594.6-13.7 53725定边陕西37.58107.581360.3086368.6-12.8 53754绥德陕西37.50110.22929.7091113.6-11.8 53772太原山西37.78112.55778.3092742.8-9.9 53787榆社山西37.07112.981041.4089821.3-10.9 53798邢台河北37.07114.5077.30100761.4-5.4 53817固原宁夏36.00106.271753.0082492.1-12.9 53845延安陕西36.60109.50958.5090810.1-10.1 53863介休山西37.03111.92743.9093107.7-9.1 53898安阳河南36.05114.4062.90100815.2-4.7 53915平凉甘肃35.55106.671346.6086635.5-8.5 53923西峰镇甘肃35.73107.631421.0085859.7-9.4 53942洛川陕西35.82109.501159.8088639.3-9.1 53959运城山西35.05111.05365.0097315.9-4.4 53963侯马山西35.65111.37433.8096604.6-5.7内蒙古44.58117.60995.9090063.8-25.5 54012西乌珠穆沁旗

54026扎鲁特旗内蒙古44.57120.90265.0098346.4-17.8 54027巴林左旗内蒙古43.98119.40486.2095802.2-18.5 54094牡丹江黑龙江44.57129.60241.4098576.8-22.3 54096绥芬河黑龙江44.38131.17567.8095509.6-22.1 54102锡林浩特内蒙古43.95116.121003.0090164.9-25.1 54115林西内蒙古43.60118.07799.5092254.5-19.3

54134开鲁内蒙古43.60121.28241.0098679.5-18.6 54135通辽内蒙古43.60122.27178.7099389.9-18.8 54157四平吉林43.17124.33165.7099590.5-19.6 54161长春吉林43.90125.22236.8098671.9-20.9 54186敦化吉林43.37128.20524.9095297.4-22.5 54208多伦内蒙古42.18116.471245.4087499.4-23.7 54218赤峰内蒙古42.27118.93568.0094882.5-16.1 54236彰武辽宁42.42122.5379.40100623.8-17.1 54284东岗吉林42.10127.57774.2092483.9-22.4 54292延吉吉林42.88129.47176.8099409.9-18.3 54308丰宁河北41.22116.63661.2093967.4-15.4 54324朝阳辽宁41.55120.45169.9099552.8-15.2 54333新民辽宁41.98122.8330.70101250.3-16 54337锦州辽宁41.13121.1265.90100831.5-13 54342沈阳辽宁41.73123.4544.70101124.6-16.8 54346本溪辽宁41.32123.78185.4099500.3-18 54374临江吉林41.80126.92332.7097690.4-21.3 54405怀来河北40.40115.50536.8095364.7-11.7 54416密云北京40.38116.8771.80100846.8-8.9 54423承德河北40.98117.95385.9097244.1-13.3 54455兴城辽宁40.58120.7010.50101563.4-12.5 54471营口辽宁40.67122.27 3.30101628.5-14.1 54493宽甸辽宁40.72124.78260.1098541.9-17.9 54497丹东辽宁40.05124.3313.80101520.3-12.7 54511北京北京39.80116.4731.30101168.6-7.5 54527天津天津39.08117.07 2.50101677.4-7 54539乐亭河北39.43118.8810.50101609.7-9.9 54606饶阳河北38.23115.7319.00101452.4-7.9 54662大连辽宁38.90121.6391.50100522.0-9.5 54725惠民县山东37.48117.5311.70101564.7-7.4 54753龙口山东37.62120.32 4.80101667.3-5.8 54776成山头山东37.40122.6847.70101151.1-4.8 54808朝阳山东36.23115.6737.80101158.1-6.2 54823济南山东36.60117.05170.30100813.2-5.2 54843潍坊山东36.75119.1822.20101239.6-6.7 54916兖州山东35.57116.8551.70101092.9-5.2 54936莒县山东35.58118.83107.40100453.3-6.5 55591拉萨西藏29.6791.133648.9065242.6-4.9 56004托托河青海34.2292.434533.1058477.2-23.3 56021曲麻莱青海34.1395.784175.0060901.2-19.5 56029玉树青海33.0297.023681.2065024.8-11.7 56033玛多青海34.9298.224272.3060509.8-23 56046达日青海33.7599.653967.5062782.1-17.9 56080合作甘肃35.00102.902910.0071551.0-13.5 56093岷县甘肃34.43104.022315.0077010.1-9.9 56096武都甘肃33.40104.921079.1089355.10.2 56125囊谦青海32.2096.483643.7065304.0-10.6 56137昌都西藏31.1597.173306.0068155.0-5.7 56146甘孜四川31.62100.003393.5067422.8-9 56172马尔康四川31.90102.232664.4073475.1-3.9 56173红原四川32.80102.553491.6066598.4-14.6 56182松潘四川32.65103.572850.7072074.9-7.2 56196绵阳四川31.45104.73522.7095998.0 2.6 56257理塘四川30.00100.273948.9062956.4-9.7

56294成都四川30.67104.02506.1095669.4 2.8 56312林芝西藏29.6794.332991.8070731.3-1.8 56386乐山四川29.57103.75424.2096546.4 4.1 56444德钦云南28.4898.923319.0067027.4-5 56462九龙四川29.00101.502987.3071365.1-1.4 56492宜宾四川28.80104.60340.8097472.2 4.7 56571西昌四川27.90102.271590.9083756.95 56651丽江云南26.87100.222392.4076266.1 3.3 56671会理四川26.65102.251787.3081955.0 4.7 56691威宁贵州26.87104.282237.5077750.4-4 56739腾冲云南25.0298.501654.6083458.7 6.5 56768楚雄云南25.03101.551824.1082168.3 5.8 56778昆明云南25.02102.681892.4081072.8 3.9 56951临沧云南23.88100.081502.4084899.29.2 56954澜沧云南22.5799.931054.8089507.711.1 56964思茅云南22.78100.971302.1086918.19.9 56966元江云南23.60101.98400.9096367.313.1 56969勐腊云南21.48101.57631.9093928.712.6 56985蒙自云南23.38103.381300.7086876.37.1 57006天水甘肃34.58105.751141.7088770.2-5.5 57036西安陕西34.30108.93397.5097028.9-3.2 57067卢氏河南34.05111.03568.8095097.2-4.3 57083郑州河南34.72113.65110.40100361.7-3.8 57127汉中陕西33.07107.03509.5095704.30.1 57178南阳河南33.03112.58129.20100168.8-1.8 57237万源四川32.07108.03674.0093814.40.9 57245安康陕西32.72109.03290.8098209.71 57251陨西湖北33.00110.42249.1098734.1-0.1 57265老河口湖北32.38111.6790.00100585.9-0.9 57290驻马店河南33.00114.0282.70100689.0-2.7 57297信阳河南32.13114.05114.50100454.7-2 57378钟祥湖北31.17112.5765.80100894.1-0.3 57399麻城湖北31.18115.0259.30100979.5-0.2 57411南充四川30.78106.10309.7097870.9 3.8 57447鄂西湖北30.28109.47457.1096347.5 2.3 57461宜昌湖北30.70111.30133.10100098.2 1.1 57494武汉湖北30.62114.1323.10101351.50.1 57516重庆沙坪坝重庆29.58106.47259.1098351.6 5.1 57562石门湖南29.58111.37116.90100227.70.9 57574南县湖南29.37112.4036.00101196.50.3 57602泸州四川28.88105.43334.8097527.0 4.7 57606桐梓贵州28.13106.83972.0090534.40.4 57633酉阳重庆28.83108.77664.1093952.50.2 57649吉首湖南28.32109.73208.4099159.9 1.4 57662常德湖南29.05111.6835.00101231.00.7 57687长沙(望城)

湖南28.22112.9268.00100783.60.9 57707毕节贵州27.30105.281510.6084847.0-1.6 57713遵义贵州27.70106.88843.9091864.00.4 57745芷江湖南27.45109.68272.2098364.70.8 57780株洲湖南27.87113.1774.60100708.2 1.3 57793宜春江西27.80114.38131.30100048.0 1.2 57799吉安江西27.05114.9271.20100638.6 1.9 57816贵阳贵州26.58106.731223.8089193.2-0.2 57832三穗贵州26.97108.67626.9094479.5-0.8

57853武冈湖南26.73110.63341.0097606.30.7 57866零陵湖南26.23111.62172.6099524.0 1.2 57874常宁湖南26.42112.40116.60100175.0 1.7 57896遂川江西26.33114.50126.10100057.6 2.3 57902兴义贵州25.43105.181378.5086168.20.7 57957桂林广西25.32110.30164.4099501.3 3.3 57993赣州江西25.87115.00137.50100023.13 57996南雄广东25.13114.32133.8099876.2 4.1 58005尚丘河南34.45115.6750.10101088.9-3.9 58027徐州江苏34.28117.1541.20101218.3-3.4 58040赣榆江苏34.83119.12 3.30101644.9-4 58102亳州安徽33.87115.7737.70101192.2-3.4 58144淮阴(清江)江苏33.63119.0214.40101520.9-3.1 58215寿县安徽32.55116.7822.70101408.7-2.6 58221蚌埠安徽32.95117.3818.70101401.3-2.4 58238南京江苏32.00118.807.10101569.3-1.6 58251东台江苏32.87120.32 4.30101658.7-1.9 58265吕泗江苏32.07121.60 5.50101620.5-0.8 58314霍山安徽31.40116.3268.10100844.5-1.6 58319桐城安徽31.07116.9585.40100695.3-0.4 58321合肥安徽31.87117.2326.80101243.9-1.4 58362上海上海31.40121.45 5.50101617.9 1.2 58424安庆安徽30.53117.0519.80101348.2-0.1 58457杭州浙江30.23120.1741.70101166.60.1 58477定海浙江30.03122.1035.70101239.6 1.7 58527景德镇江西29.30117.2061.50100867.5 1.2 58531屯溪安徽29.72118.28142.7099936.30.3 58606南昌江西28.60115.9246.90101005.40.8 58633衢州浙江29.00118.9082.40100784.0 1.1 58634玉山江西28.68118.25116.30100265.7 1.4 58659温州浙江28.03120.6528.30101509.0 3.5 58665洪家浙江28.62121.42 4.60101572.62 58715南城江西27.58116.6580.80100580.8 1.4 58737建瓯福建27.05118.32154.9099690.6 3.5 58834南平福建26.65118.17125.60100017.8 4.6 58847福州福建26.08119.2884.00100525.5 6.5 58918上杭福建25.05116.42198.0099130.6 5.2 58921永安福建25.97117.35206.0099078.4 4.5 59023河池广西24.70108.05211.0098843.7 6.5 59037都安广西23.93108.10170.8099254.87.3 59082韶关广东24.68113.6061.00100641.0 5.1 59133崇武福建24.90118.9221.80101181.68.1 59134厦门福建24.48118.07139.40100080.68.5 59211百色广西23.90106.60173.5099162.19.1 59254桂平广西23.40110.0842.50100763.87.3 59265梧州广西23.48111.30114.8099957.8 6.1 59287广州广东23.17113.3341.00101147.78.2 59293河源广东23.73114.6840.60100887.57.1 59294增城广东23.33113.8338.90101195.48.4 59316汕头广东23.40116.68 2.90101318.19.6 59417龙州广西22.33106.85128.8099697.09.3 59431南宁广西22.63108.22121.60100306.87.7 59446灵山广西22.42109.3066.60100477.3 6.8 59501汕尾广东22.80115.3717.30101256.310.6

59632钦州广西21.95108.62 4.50101153.08.1

59663阳江广东21.87111.9723.30100998.69.6

59664电白广东21.50111.0011.80101060.610.6

59758海口海南20.03110.3513.90100973.612.9

59838东方海南19.10108.628.40101018.514.1

59855琼海海南19.23110.4724.00100856.213.4

注:“设计计算用采暖期初日”栏的数字是指采暖开始日在当年全年内排第几天;“设计计算用采暖期终日”栏的

W_T_VENT W_T_AC W_RH_AC W_WS_MEANW_WS_MEAN_M W_WD_MAINW_F_WD_MAIN W_P_AIR W_S_RATIO -33.9-40.7720.6 2.1NNW 79806351-31.2-36.9780.7 2.7N 910020756-33.5-37.778 1.6 2.1S 219328062-27.7-31.976 3.5 3.9SW 229440776-31.6-34.779 1.8 2.1S 309490756-29.9-33.775 1.6 2.5SSW 109943376-30.5-33.867 1.2 2.9SSW 159922362-25.4-2969 2.6 4.5WNW 289309377-28.6-30.465 1.2 2.5NNW 109953066-32-35.871 1.7 2.1SE 128995067-27.5-29.677 2.4 3.1WNW 1110053073-24-27.271 1.8 1.9W 1110083072-28.7-30.670 1.8 2.5SE 149952068-24.2-27.169 3.4 4.6W 2910139064-22.7-2672 2.7 3.7W 259627369-25.6-28.371 2.4 2.4SW 1510058764-23-27.263 2.5 3.9SW 2310126053-27.4-30.374 1.83WSW 139244369-22.4-25.672 2.4 2.7NW 1310076774-23.2-25.6742 2.4W 1410101766-24.3-27.377 2.9 3.2NW 1310082373-24.7-27.275 3.2 3.5SSW 1710041359-26.8-29.575 4.2 6.5W 2510114066-25.7-29.372 2.6 4.1SW 2710030763-21.3-24.364 3.3 4.3W 459940768-23.6-29.3740.8 2.5NE 89449365-27.5-33.9750.6 3.1E 149368761-19.6-24.376 1.52N 269670360-18.5-22.866 1.4 1.8NW 98770069-22.7-26.177 1.1 1.5NNE 89838048-20.3-25.3770.9 1.6S 169992755-20.5-25.3771 1.8W 109784045-17.5-20.88412E 129506045-19.2-23.478 1.4 2.2S 159333328-17.7-19.6830.5 1.6ESE 39052357-14.7-16.8740.5 1.8E 610359749-13.2-15.778 1.52NNW 249012361-13.7-15.782 1.1 2.3N 129029753-13-14.3740.7 2.1NW 138799747-11.7-12.8760.3 2.3NE 58985054-12.5-15.169 1.6 2.4W 129304057-12.2-1574 1.7 2.8SW 169253051-11.5-13.1810.8 1.7WNW 68859057-12.1-12.675 1.1 1.9WSW 88700742-12.9-13.6760.9 1.8NE 68660361-17-19.173 1.8 2.4NE 219440774-15.6-20.445 2.6 4.3W 129188377-12.2-16.362 2.5 4.1WSW 198953362

冬季空气调节室外计算温度(℃)冬季空气调节室外计算相对湿度(%)冬季室外

最多风向平均风速(m/s)冬季最多

风向

冬季最多风向的频率(%)冬季室外大气压力(Pa)冬季日照

百分率

(%)

冬季室外平均风速(m/s)冬季通风室外计算温度(℃)

-13.6-19.160 4.6 5.6E268511366 -15.7-20.652 3.1 4.1WNW198724079 -12.9-18.465 2.1 2.8SW108570069 -15.7-18.948 2.9 5.5ENE157294080 -12.3-17.154 1.6 2.7E98698770 -17.5-21570.9 2.1NE96900778 -16.4-20.256 2.6 3.2N216776080 -14.6-20.548 5.1 5.3NW216977067 -12.3-15.547 2.2 1.5SW127230072 -13.1-16.849 2.13SE256889375 -10-13.5570.7 1.9SE67734062 -9.1-1357 1.1 2.6E138196054 -8.5-11.4700.3 2.2ENE58528340 -14.4-18.555 2.1 2.8NW166786775 -11-14.7720.8 1.4WSW98137360 -23.8-27.6803 4.8WNW169132776 -25-30.275 1.73W168943369 -19.4-23.473 5.1 5.8S218520382 -20.1-24.469 4.7 5.1WSW298916774 -19-22.3582 5.3NW98771076 -20.2-25.668 2.9 2.3SE178672073 -21.1-25.373 4.2 6.5WNW348528370 -20.1-24.663 3.6 5.7WNW168633072 -16.1-20.360 1.1 3.8NW89030748 -15.4-19.152 2.4 3.1NNW279015361 -14.2-18.948 2.5 3.7SW149069780 -14.9-19.951 2.3 3.3N138664374 -15.9-19.456 2.3 3.7NW138570376 -11.9-17.166 1.4 2.5NNE128973369 -14.4-19.269 1.5 2.3NNW209033067 -10.9-14.545 1.8 2.9N159287751 -5.9-8.654 1.4 1.8N1210202052 -12-17.768 1.9 3.4WNW158706365 -11.9-18.369 2.2 2.5SW118679764 -11.4-15.167 1.83NW169187063 -8.8-12.746 1.8 2.9NNW169346751 -9.3-13.551 1.1 1.9ENE129034759 -5.2-7.760 1.5 2.1NNE1610205742 -11.5-17.172 2.2 3.4NW118276766 -8.4-13.356 1.8 2.8WSW199149764 -7.5-1247 1.6 3.2SW139383050 -4-7.15924N1210208042 -7.4-11.957 1.73NW148710757 -8-12.957 1.9 2.7N108608048 -7.8-12.154 2.2 2.9N268915758 -4-7.454 2.1 2.7NE89839346 -4.2-9.571 1.2 1.4N109763044 -24.7-28.574 3.5 5.2WSW309074372 -17.5-20.959 2.6 3.6NW269935769 -18.3-21.966 2.2 4.7NNW149656769 -23.6-25.974 1.8 2.2SW189934352 -22.2-24.967 3.9 5.6W359600065 -22.9-27.771 2.6 3.9SW199090369 -18.2-22.154 2.7 4.8WSW179286363

-18.5-21.665 3.54WNW219983075 -18.5-21.969 3.4 3.9NW1710041075 -18.1-22.970 1.9 2.7SW1610067369 -20.1-24.377 3.1 3.9SW239965363 -22.4-25.671 2.5 3.4W199583764 -22.6-26.477 2.7 5.5WNW218795073 -15.4-18.863 1.9 2.8WSW129567765 -18.4-19.868 2.9 3.6WNW2010189759 -20.7-25.768 1.7 3.1SW159283062 -17.6-21.360 2.25WNW2210038356 -15.3-17.7432 3.3NW159474066 -14.7-18.361 1.8 2.9S910078068 -16.3-19.867 2.9 3.8NW2310255055 -12.5-15.764 2.1 2.5NE1710211362 -16.2-20.6692 1.9ENE1810233342 -16.8-21.572 2.3 2.2E3910054355 -20.3-24.3720.4 1.6NNE59856060 -11.4-14.338 3.4 4.8W299635768 -8.7-11.756 2.6 3.2NE2110208353 -12.3-15.8641 3.5NW89827064 -11.9-15.1640.9 2.7NNE710287368 -13.5-17.467 2.6 3.4NNE2210292759 -18.7-21.8741 3.8NW109946368 -12.4-15.962 3.3 5.3NNW2210265766 -7.6-9.837 2.7 4.5NNW1410257357 -6.5-9.473 2.1 5.6NNW1510296048 -9.2-12.453 2.5 3.5ENE1610290359 -7.4-10.652 1.8 2.5NNE1010280361 -8-12.9555 5.9N2610172767 -6.6-10.154 2.6 3.6NNE810277754 -5.7-7.967 3.4 3.7N1110291359 -4.1-7.1637.19.3NNW4210226755 -5-8.979 2.8 2.9N2310246039 -3.6-7.745 2.7 3.5ENE1810185353 -5.7-9.153 3.6 5.5NNW1410247357 -4.1-7.4572 3.6NNW1010232360 -5.4-8.855 2.34NNE2110162055 -5.1-7.250 1.9 2.5E246527777 -29.5-31.678 1.6 3.1W265839787 -19.5-22.9560.8 2.5NW66075380 -11.6-15.5570.6 1.3SSW76484065 -26.5-28.679 1.1 3.4NW76031079 -17.2-20.868 1.2 2.5S86260372 -13-16.3640.7 3.3NNW97131065 -8.9-12.5650.6 3.5NE67693355 0.6-2.156 1.1 1.9SE98992042 -10.4-13.958 1.3 1.9W196513074 -4.3-7.4380.7 2.5SSW66811364 -7.5-13.3591 2.1N66710070 -2.3-5.9391 2.8WNW107360061 -15.1-18.873 1.7 3.5SW106606068 -6.1-9.361 1.3 2.6NNE157199754

2.90.8820.8 2.5ENE99688023 -1

3.3-13.3741 1.9S86279378

3 1.2841 1.9NNE19965131

4 -1.8-3.447 1.7 2.4ENE30706476

5 4.4 2.3850.8 1.7N9973275 -4.6-6.460 2.5 4.9SSW186600361 -1-2.944 2.7 2.8WNW267123055 4.9 3.1890.5 1.3NE698307

6 6.9 2.263 1.4 1.7NNW98406755

4.2 1.4514

5.9WSW157635068

5.3 2.774 1.2 3.2S98226755 -1.2-

6.485 3.1 4.2NNE277766033 6.7 5.573 1.5 3.1SSW148365768 5.6 3.5751 3.2SW98247352 4.9 1.1722 3.8SW148135054

9.57.869 1.1 3.7S78518376

10.99.1790.8 1.7ESE68990359 9.37.3821 2.8SW68716361 13.110.574 1.87ESE119720349 12.39.6870.50.9NE59452352

9 4.767 2.3 3.9S228742757 -4.7-8.275 1.2 2.7E168934337 -4-5.6660.9 1.7ENE69809718 -4.1-6.562 1.3 2.8ENE159593041 -3.2-5.756 2.4 4.3NE1610155332 0.7-1.4810.9 2.8ENE129650319 -1.8-4.168 2.4 3.4NE2410139328 1.8-0.563 2.25NNW219439718

0.9-0.766 1.3 3.3ENE149909029

1.4-1.4780.8

2.1S109979729 -1.5-2.973 1.4

3.2NE1110160723 -1.6-5.360 2.1 2.6NNW1610194731 -1-

4.569 2.5 3.4N1810171033 0.1-2.167 3.7 6.1NNW3410198027 0.1-2.371 2.1 3.7N3610216039 4.2 2.3870.8 2.1NNE99889312

20.7820.3 1.2N49713014 1.5-0.869 1.4 2.3SE1710113325 0.1-2.472 2.6 3.9NNE2010244731 5.2 3.5820.82N89936014 1.7-1.565 2.2 3.3ENE2110126325 1.1-1.876 2.5 3.6NNE3010226029 4.8 2.788 1.1 1.8NW11983478 0.8-1.781 1.73E13909176 0.2-1.8720.9 1.7N179456713

2-0.4730.8 1.7NNE1210011717 1.6-1.373 1.9 3.2NNE2210232324 3.5-0.890 2.4 3.4NNW251018309 -0.6-3.3900.4 1.7SE148503013 1-1.68012E12923206 1.5-0.975 2.1 3.3NE319921016 3.9-0.4892 2.9NNW2610176313

1.5-0.687 1.7 3.5W1310098017

2.1-0.487 2.5

3.1N4110158319 0.7-2.583 2.3 2.6NE29896579 0.2-2.779 1.6 2.8N289511713

1-1.485 1.6 2.5NNE219842319 1.4-0.987 3.5 4.3NNE3410043716 4.4-0.687 1.8 2.8N2410120311 2.60.185 2.2 2.7ENE2610098017 1.9-194 1.6 1.9NE298646016 3.5 1.178 3.7 4.4NNE6610032319 3.40.683 2.1 2.8N5210090017

5 1.777 2.3 2.7ENE3710075018 -2.7-6572 2.4NNW1210237041 -2.3-5.654 2.1 3.6ENE1110251043 -3.4-6.35

6 2.6 3.2N1410288061 -1.7-5.458 2.3 3.1NNE1310249743 -1.9-5.269 2.2 2.8NNE1210274041 -1.5-5.571 3.3 3.4E1610252336 -1.2-4.668 2.1 2.9NE1310259332 -1.1-479 2.

7 3.2ENE1310279035 -0.6-474 2.6 3.6N1210288345 0.8-2.5804 4.8WNW1510275042 -1.6-4860.9 2.7E910194733 1.4-2.973 3.5 3.1NW1910178733 -0.9-47

8 2.6 3.5NNE1210236028 3.5-1.274 3.33N1310264738 -0.1-2.67

9 3.8 4.4NE3510235728 0-2.282 2.6 3.8NNW2310218023 3.1-0.479 3.9 4.8NNW2210214021 1.3-1.282 1.9 2.9NNE2310186325 0.2-2.184 1.3 3.6NE1310084723 0.9-1.380 3.4 4.8N3010197725

1-0.986 3.3 4.3ENE3510174722 1.5-0.986 2.7 3.8NE3710119721 4.9 1.581 2.23NW2710254021 3.6080 3.7 4.6NW3610241022 1.7-0.990 3.6 4.6NNW4710153019 4.8 1.2830.9 2.4NW910054728 6.5 2.376 1.2 2.6NE1710087325 8.4 4.672 2.2 3.6NW1010129014 6.9 2.580 3.3 4.4NW479990338 6.5 2.376 1.1 3.1NNW129989729

6.9 4.377 1.2 1.9E199964015

7.6 5.178 2.5 3.1NNW4210003316 6.5 2.976 1.5 2.8NW1310159723

9.3 6.3747.99NNE4910197325

10.4 6.877 4.2 4.8E3310045026 9.57.28112SSE1010005019 8.2 5.2860.9 1.4N1210158714 7.6 3.881 1.52NNE2610072317 10.3 5.374 2.4 3.4N3510207341 8.8 4.173 1.9 2.7N3910175044

10.6 5.675 3.45NNE3410200746

11.17.377 2.8 4.1ENE2310204040 9.97.584 1.1 1.9E2310049310 8.3 5.885 1.32E1810120714 8.2 4.684 2.3 2.9N3510124316 12.57.566 3.1 3.7NNE2210196345

9.2 6.1823 3.8N4610195715

11.97.178 3.3 4.2NE3910172727

138.174 2.5 3.4E1710179738

14.510.585 2.6 3.2NE2810177325

15.911.780 4.7 5.9NE4510178744

15.611.1873 3.4NW2610165329计算用采暖期终日”栏的数字是指采暖结束日在次年内排第几天。

W_DAYS_HEAT W_DATE_HEAT W_DATE_HEAT S_T_VENT S_RH_VENTS_T_AC S_TS_AC S_T_MEAN_AC S_WS_MEAN

22526812824.45629.120.821.5 1.920727611825.456302223.9 1.822826713022.35927.319.319.8 1.821827412724.35029.319.923.7 2.921627512624.45329.220.523.5319428411325.35929.922.324.3 3.220128011624.96329.322.223.3 2.221927412822.56127.319.920.8 1.818728710925.75930.122.625.1 2.422526912921.75926.418.920.7 2.918528810826.55830.723.125.8318029110626.85731.223.526.5 2.818528810825.66129.722.824.8 3.118229110826.36030.623.325.7319028611125.45630.421.523.5 2.318129010627.15631.223.526.3 2.817929210626.66030.823.525.9 2.919328411226.14231.22025.231702949927.65631.823.926.8 2.81682969927.55931.324.326.9 2.41672979927.36032.224.826.5 3.117529310326.86130.623.826.1 2.818428910826.365302425.1 3.118328910726.36429.923.824.8 2.517829310626.25930.423.125.5 2.717529310325.54130.819.926.1 2.917829110426.43332.618.226.2 2.61563039427.43733.520.426.8 2.118828410723.13528.616.423.3 2.81473068830.52536.419.832.1 4.714930488303834.822.528.7 1.81493048829.7343521.430.3 2.91403108527.24332.921.326.1 1.71533039127.43233.418.328.3 3.11473048627.9383221.326.2 1.51183136636.22540.324.235.1 1.31303107528.43832.621.626.9 1.81273127429.33033.820.229 2.41203167128.83333.821.128.7 2.11223137029.73435.521.429.721323097631.82836.223.829.8 2.31283117432.62637.12230.331223147128.73634.122.628.3 1.41133196728.83534.521.428.821233137130.52735.120.428.3 1.91413068231.62835.822.329.9 1.81543008931.52236.219.330.2 3.21403068129.93034.121.127.5 1.9

夏季空气

调节室外计算日平均温度(℃)夏季室外

平均风速

(m/s)

设计计算用采暖期终日夏季通风室外计算温度(℃)夏季通风

室外计算

相对湿度

(%)

夏季空气调节室外计算干球温度(℃)夏季空气调节室外计算湿球温度(℃)设计计算用采暖期日数(日)设计计算用采暖期初日

1582989126.43430.71824.8 2.3 1632979528.22832.818.527.6 3.6 1553009026.43730.419.524.8 2.2 19528211222.22026.712.220.7 4.2 1533018928.1343319.326.8 2.5 21627312419.22924.712.319.5 2.4 24226614315.25518.912.214.3 3.8 24126714314.55919.112.414.7 4.6 17429110021.8282713.521.32 19228511218.63524.612.719.2 1.9 1642959421.94726.416.620.7 1.5 1463078824.64928.819.423.2 1.4 1303117626.64331.320.126 1.3 21827212516.65321.313.315.7 1.8 1582989123.65027.918.722.3 2.2 181290106283233.219.327.5 3.8 19228511225.64030.618.924.8 3.2 178********.12930.717.326.3 5.4 176********.93631.819.226.5 4.3 1712939926.13930.519.325.8 2.7 183********.73730.418.524.6 2.7 189********.3482818.422.6 2.7 187********.95427.21921.93 1642969526.64730.72125.8 1.5 1613009626.5473121.125.3 2.3 1503048930.52934.920.529.1 3.1 16029893273731.419.625.8 2.8 1662969724.84429.219.124.5 2.9 1443098827.74731.322.226.2 2.4 15130490284432.321.626.5 2.3 1453098927.75231.922.926.1 1.6 1113216730.85635.226.830.1 1.5 1463099027.43831.820.226.1 3.4 1443108927.24333.222.626.3 3.5 1403128728.54733.122.527.7 2.6 1413128827.85731.623.826 2.1 1443119026.85330.922.324.7 1.6 10532565315535.226.930.2 1.9 1632979523.35227.71922.2 2.8 1333128028.25132.522.826.1 1.6 1313137928.65332.723.926.8 2.5 1023286530.95834.827.430 2.4 1433108825.65429.821.323.9 2.2 1443119024.75528.720.624.3 3.2 141312882656302225.32 1003286331.35135.92631.43 1103196431.25236.826.729.8 2.4 19228511224.64729.519.623.9 2.6 1662969728.45032.823.427.3 2.2 17129410027.35131.822.625.7 2.3 176********.85830.923.425.6 2.1 186********.26428.52223.2 1.7 187********.14231.219.925.3 3.3 177293105265030.921.125.1 1.9

1652979728.55232.82427.5 3.4 1652979728.35632.424.527.1 3.7 1632999727.36430.724.526.5 2.7 1682969926.66430.42426.1 3.5 184********.56428.622.523.5 1.5 190286111245128.319.521.9 2.5 15930296284832.722.627.2 2.5 1583039627.96231.424.926.6 3.9 180********.16427.621.523.3 2.2 17029510026.76131.223.625.4 1.9 1613009627.15431.222.725.1 1.7 14630990295633.62528.3 2.5 1533059328.26433.82627.3 2.6 14431190286431.425.126.93 1513069228.26431.425.227.3 2.8 1563049527.46230.924.226.9 2.2 1682969927.36130.723.525.1 1.1 1443108928.9503323.627.3 2.1 1313127829.95933.726.428.8 2.2 1483068928.85332.82427.21 1453129226.87329.425.526.3 2.2 1433129027.86730.325.527.4 3.6 1593049826.46829.724.125.20.9 1453139326.87329.525.225.8 2.3 1223187529.95833.626.329.1 2.2 1213197529.96233.926.929.3 1.7 1383158828.56731.726.227.4 2.4 1213187430.55934.826.929.6 2.4 1323228926.3712924.826.44 1193207430.46134.127.329.3 2.7 1163298028.6693226.728.4 3.4 1223339024.88427.325.424.9 4.1 1113226830.76134.627.629.5 2.7 1003306530.95634.82731.2 2.8 1183227530.16334.227.128.8 3.5 1043286730.66234.127.529.5 2.7 1173237529.36832.727.328.1 2.5 1363087919.8412413.519 2.2 28025316811.84816.48.410.4 3.1 266256157135017.51011.7 2.2 20428612517.54921.913.215.50.8 28425016911.65215.98.910.9 3.1 25526115113.55717.41112 1.8 206284125185422.314.615.9 1.3 1642999821.15724.817.519.2 1.3 623464328.44932.622.428.42 185********.24922.513.416 1.3 1473048621.64426.215.119.3 1.5 1662979818.65222.914.516.9 1.9 1223126922.55127.317.319.2 1.2 22727213415.6592013.213.6 2.2 1623009720.45024.215.417.1 1.2 0365029.36532.826.328.5 1.3 20229112815.45418.611.413.7 1.5

0365028.67031.926.427.9 1.4 1193197319.95922.915.617.8 1.4 0365029.26832.926.628.9 1.4 19130012616.66419.413.514.8 1.1 1133186620.95024.915.417.8 2.6 0365030.26633.827.329.91 0365026.35730.621.826.3 2.2 0365022.35825.518.121.14 0365024.4612820.923.7 1.2 993326620.86824.618.220.1 2.6 0365022.97426.320.521.6 1.3 0365024.65927.92023.7 1.4 0365023.16526.319.922.3 1.8 0365025.16428.521.323.6 1.4 0365027.36431.823.125.1 1.1 0365025.86629.622.123.90.9 0365032.85536.726.6323 0365029.1673325.426.80.9 0365026.76030.62225.8 4.2 11831871275330.921.825.9 1.3 993296330.75435.125.830.7 1.6 1073287029.65833.925.927.8 1.3 963326330.9593527.530.1 2.2 793334728.76632.32628.4 1.7 923336030.56634.427.930.1 2.4 543544329.85733.324.927.8 2.1 5834942315934.926.830.5 1.6 643454431.6583628.730.31 713485431.2653528.130.5 1.5 943336230.965352830.7 2.6 773475930.76734.527.730.8 3.2 5435443316734.628.331 3.6 533554332.26235.528.131.5 2.4 0365031.36035.327.131.3 1.3 373653731.15834.326.429.60.7 383653831.86235.627.831 1.9 4935842326335.328.432.22 0365032.45836.327.332.2 2.1 393653931.76135.427.831.4 2.7 403654031.46834.528.731.3 2.4 0365030.56634.627.231 1.6 463624328.16231.32427.1 2.1 483614429.26232.22527.40.9 383653831.76034.827.229.9 1.2 393653931.96535.528.631.9 2.2 313653132.26336.52932.1 2.4 673464825.76229.221.924.4 1.3 413654128.96031.824.327.8 1.3 383653831.362342729.6 1.6 303653032.76035.92832.2 2.6 383653832.46135.427.430.8 1.8 0365033.55735.927.731.9 2.6 4036540276230.12326.3 2.1 503594429663225.427.3 1.5

393653931.46034.226.529.62 0365032.25934.92731.2 3.3 0365032.95936.527.832.2 2.8 0365033.35736.127.631.6 2.5 0365025.46728.722.224.6 2.3 0365031.86234.227.330.3 1.8 0365033.25635.527.131.5 1.7 0365032.7583527.230.82 993316530.76534.728.130 2.4 973336530.56534.427.630.4 2.2 1023326929.17332.727.829.5 2.6 953336331.16335.127.930.7 2.6 343653429.37033.328.130.1 2.6 943336230.67134.228.730.5 3.1 823436031.46435.42831.5 2.8 793455930.66534.828.131.2 2.4 853456530.4703428.230.3 2.7 703566129.17433.32829.74 773445631.56635.628.130.9 1.8 503564130.96836.52930.8 3.2 723485531.56535.128.131.7 3.2 403654030.86934.628.231.3 3.4 473614331.96435.328.132.2 3.4 433654332.46235.727.931.6 2.7 3836538307432.427.628.9 3.2 383653833.1593627.831.5 1.7 473604232.46035.627.430.4 1.6 383653832.86135.628.332.2 2.3 3836538335935.927.831.4 2.5 0365033.25736.127.431.6 1.9 0365031.47134.128.429.8 1.9 0365031.17333.328.629.4 2.7 0365032.76035.327.831 3.8 0365033.75536.127.430.4 1.6 0365033.95336.227.230.8 1.1 0365033.2603628.130.7 3.4 0365032.45834.726.829.7 1.7 0365033.35435.926.830.12 0365031.76234.627.230.6 1.2 0365031.56634.327.630.62 0365032.95935.327.431.1 2.3 0365029.57831.127.228.8 4.9 0365031.46933.627.629.6 2.5 0365032.6613627.831.1 1.8 03650326434.427.830.9 1.6 0365032.56334.827.930.30.9 0365031.96634.227.830.6 1.5 0365032.26334.527.530.3 1.2 0365031.7673427.930 2.1 03650317133.427.730.1 2.7 0365032.1653528.130.8 1.1 0365031.86634.427.930.4 1.5 0365031.26933.927.8302 0365030.37532.327.829.6 2.8

0365031.27133.628.330.2 2.4 0365030.8723327.829.8 2.5 03650317333.228.229.93 0365032.26735.128.130.4 2.6 0365031.57033.22831.1 5.9 0365032.36734.828.430.1 3.3

S_WD_MAINS_F_WD_MAIN S_P_AIR T_MIN T_MAX Y_WD_MAINY_F_WD_MAIN

ESE 1097127-49.638WNW 9SSE 1298503-48.239.4N 12E 1092337-49.635.1S 12ENE 992913-42.538SW 13S 1193447-42.938.2S 12SE 1597753-43.940N 9E 1397780-48.138.6SW 15SSE 1092237-37.436.8WNW 17SSW 1197583-42.438.7NNW 9SE 2189197-45.333SE 14S 1198500-40.340.7N 9SE 1698653-36.740.8NW 10SSE 1497610-40.338NW 9SE 1499790-37.838.9W 15WNW 1894657-38.738.1W 23SSW 1398567-39.338.7SSW 11SW 1799407-39.538.1SW 16NW 1091007-39.739.7SW 10S 1798447-38.140N 9SSW 1798783-39.837.7SW 13S 1698590-40.739NW 9SW 2298677-37.739.2S 12ENE 1799193-41.736.7W 17SW 1298287-44.135.4SW 19W 1597877-33.337.6W 21W 1492283-41.737.5NNE 9W 3091533-4640.1W 13NNW 1694463-37.141.3N 16W 1486567-3234.7W 14NW 3295573-34.342.7NW 19S 1796860-33.841.6S 12SW 1695127-33.741.8S 11E 1993253-3639.2E 14S 1393213-32.842.1NW 11NW 1588923-30.738.8NW 9W 899597-25.247.7E 7WNW 788263-25.239.6N 10N 1488520-23.440.8N 16SSE 886480-23.639.9NW 8NE 2187990-22.542.6NE 18E 1790783-23.842.2E 11NE 2690320-23.343.1NE 16N 1186870-22.139.6NW 11SW 1185417-2141.1SW 10NE 1585117-24.741.8NE 12ESE 1091927-28.943.2NE 14E 1589860-32.642.5WNW 11NE 1387797-30.541.7WSW 9

年最多风

向的频率

(%)夏季最多风向夏季最多风向的频率(%)夏季室外大气压力(Pa)极端最低温度(℃)极端最高温度(℃)年最多风

E2783983-35.136E20 E2086013-33.241.1WNW14 E1084553-29.836.6SW10 NW1672580-33.235.9NE10 E1485573-26.941.1WNW9 W1769203-34.233W11 NNW1668167-31.427.5NNW15 N2370497-30.628.1N21 W1772297-26.935.5W15 SE1069060-26.432.2SE15 SE1477057-24.936.5SE18 ESE1581360-22.237.2ESE11 E1284150-19.739.8E7 SE968210-31.530.2NNW10 SE1980620-27.235.8SE8 SSW1189690-37.141.1WNW12 W988163-41.538.6W12 SSE2184317-32.638.1S13 SW1687873-32.640.4SW17 S1586440-31.738.7NW8 SE1485720-39.438SE12 S1684637-33.833.6WNW16 S1885597-34.833.4S11 E888837-30.538.5NW7 N1588797-28.137.2N16 NE1188883-31.441.8SW11 S1285530-31.537.3N9 S1984863-28.435.3S17 S1288137-27.738.7N9 SSE2188890-3038.6SSE11 N1191297-25.838.1NW12 SSE1699390-19.342.9SSE12 SSE1285810-28.537.5W11 S1385660-29.137.7S11 SE3390220-24.138.8SE20 NW1691847-23.337.4NNW10 S1289093-25.136.7ENE10 S1599463-20.241.1S13 SE1781910-30.934.6ESE11 SW1989893-2338.5SW18 NE1292223-23.338.7SW14 S2499487-17.341.8S16 ESE1685810-24.336WNW16 S2685147-22.636.4S13 SSE1187823-2336.4N13 SE1895963-18.941.4SE11 N1095407-21.441.2N9 ESE889457-37.837.4WSW14 NW1297227-29.540.6NW20 N1294843-32.240.2NNW10 SW1297743-35.338.4SW13 WNW1494967-33.435.3W20 S1989460-3839.2SW12 WSW1191483-32.240.4W12

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