空气质量站点监测数据简介

环境质量不仅影响公众健康,还与经济的可持续发展息息相关。空气质量是我国环境治理的重要领域,其在日常生活中可感性高,直接影响人们的日常生产生活,还与经济环境、企业发展与盈利状况紧密相关,城市高质量发展愈发受到城市空气质量的约束,经济发展中持续的能源消耗上升以及环境恶化加剧会制约经济发展,使得经济发展质量下降。

空气质量指数(Air Quality Index,AQI)是我国现行的,用于定量描述空气质量状况的非线性无量纲指数,适用于表示城市的短期空气质量状况和变化趋势。 其指数分级计算参考的标准是GB 3095-2012《环境空气质量标准》(现行,2012年最新修订),参与评价的污染物为SO2、NO2、PM10、PM2.5、O3、CO等,发布频率为每小时发布一次。

对空气质量的评定是由城市空气质量监测站对存在于大气、空气中的污染物质进行定点、连续或者定时的采样、测量和分析后得到相关的数据。 空气质量监测站位于各城市的建成区内,分布相对均匀,覆盖全部建成区,最终的空气质量指数是由城市中所有监测点的污染物浓度的算术平均值计算而来,代表所在城市建成区污染物浓度的总体平均值。因此,空气质量站点监测数据是评定空气质量的一手数据,且空气质量监测站点的选址也会影响对于空气质量的评定。

因空气污染物消散速度较快,对治理措施的反应迅速,以及日度数据的可得性等原因,空气质量数据常常被用于实证研究。CnOpenData平台的数据既包含各城市空气质量的日度数据,也包括各监测站点的位置信息和监测数据, 采集了自2014年5月13日以来的全部信息,为空气质量的相关研究提供了完整、可靠的数据来源。


时间区间

监测时间自2014.05.13开始


字段展示

监测站点列表

中文字段字段中文释义
监测点编码监测点编码
监测点名称监测点名称
城市城市
经度经度
纬度纬度

城市空气质量表

站点空气质量表

样本数据

检测站点列表

监测点编码监测点名称城市经度纬度
1001A万寿西宫北京116.36639.8673
1002A定陵北京116.1740.2865
1003A东四北京116.43439.9522
1004A天坛北京116.43439.8745
1005A农展馆北京116.47339.9716
1006A官园北京116.36139.9425
1007A海淀区万柳北京116.31539.9934
1008A顺义新城北京116.7240.1438
1009A怀柔镇北京116.64440.3937
1010A昌平镇北京116.2340.1952
1011A奥体中心北京116.40740.0031
1012A古城北京116.22539.9279
1013A市监测中心天津117.15139.097
1014A南口路天津117.19339.173
1015A勤俭路天津117.14539.1654
1016A南京路天津117.18439.1205
1017A大直沽八号路天津117.23739.1082
1018A前进路天津117.20239.0927
1019A北辰科技园区天津117.183739.2133
1020A天山路天津117.26939.1337
1021A跃进路天津117.30739.0877
1023A第四大街天津117.70739.0343
1024A永明路天津117.45738.8394
1025A航天路天津117.40139.124
1026A汉北路天津117.76439.1587
1027A团泊洼天津117.15738.9194
1028A化工学校石家庄
1029A职工医院石家庄114.454838.0513
1030A高新区石家庄114.604638.0398
1031A西北水源石家庄114.501938.1398
1032A西南高教石家庄114.458611138.00583333
1033A世纪公园石家庄114.533055638.01777778
1034A人民会堂石家庄114.521438.0524
1035A封龙山石家庄114.354137.9097
1036A供销社唐山118.166239.6308
1037A雷达站唐山118.14439.643
1038A物资局唐山118.185339.6407
1039A陶瓷公司唐山118.218539.6679
1040A十二中唐山118.183839.65782
1041A小山唐山118.199739.6295
1042A北戴河环保局秦皇岛119.525939.8283
1043A第一关秦皇岛119.762440.0181
1044A监测站秦皇岛119.602339.9567
1045A市政府秦皇岛119.60739.9358
1046A建设大厦秦皇岛119.536939.9419
1047A环保局邯郸114.512936.61763
1048A东污水处理厂邯郸114.542636.6164
1049A矿院邯郸114.503536.5776
1050A丛台公园邯郸114.496536.61981

城市空气质量表

datehour城市AQIPM2.5PM2.5_24hPM10PM10_24hSO2SO2_24hNO2NO2_24hO3O3_24hO3_8hO3_8h_24hCOCO_24h
2014051318张家界103776710587813151481114861091.6371.372
2014051318湘潭846253104924452494276129931391.1271.198
2014051318沧州8446507581222822241271591401450.7680.734
2014051318淄博8348481141265410047511381501371371.3241.632
2014051318杭州9571591321114730696199129951520.9180.913
2014051318赤峰113193717413512271129667972830.6571.316
2014051318福州60272368528730267510787881.1821.199
2014051318舟山743151386681233381161781281461.1411.351
2014051318日照1217665169155304843662402401801800.8711.376
2014051318宝鸡6337577511720143344599636751.7841.963
2014051318韶关785742735745254429344231492.7052.188
2014051318河源22133522559153334355937391.2251.356
2014051318大庆40101420161491513798680820.3030.325
2014051318泉州7128229149352320516052521.2861.179
2014051318连云港98434889104253227321661721561560.640.67
2014051318邯郸1239079195151374056451111491141351.0781.188
2014051318攀枝花49182648618351523839184841.2131.527
2014051318潮州52153252501214919368363670.4970.835
2014051318石嘴山82205411323334538221071431051390.2570.519
2014051318南京1456865140143292349701722552082090.8480.855
2014051318徐州8637486993292821321431541421451.2721.316
2014051318湖州84627192983451545477182821570.9440.941
2014051318株洲75525099803534343265137921331.0351.099
2014051318柳州673958709461619381321461191440.9341.201
2014051318绍兴52302953491428535192132941571.1161.055
2014051318金昌751223435953661261391291430.781.151
2014051318重庆7756599310121293941495728361.1151.305
2014051318营口6936408775202120281401401131130.6510.927
2014051318玉溪60141637325126151161141111111.21.443
2014051318蓬莱10637388280113245481641791651750.8410.825
2014051318乳山12339495776181613212082081841841.0251.031
2014051318瓦房店101744613599462223262002001531530.470.377
2014051318莱州1115446146129303533311641961711710.6360.633
2014051318葫芦岛1148366176144312680698710782871.7931.859
2014051318溧阳6844518510227335953791411151500.6570.638
2014051318兰州83394711512533242637116120971131.011.092
2014051318遵义64443977688142729546439680.3460.646
2014051318自贡1088110911514811181116223122251.4971.523
2014051318常熟9817404164182861531161861562150.3890.533
2014051318乌鲁木齐6922318614819111639738371690.8130.652
2014051318招远964058112116313129391661731541540.5310.533
2014051318咸阳55334858109403128447610736940.9341.278
2014051318呼和浩特631431751278211538586557621.051.822
2014051318拉萨782525516712137221491731321671.0681.279
2014051318常德69507869981727243054127521181.7151.512
2014051318洛阳7838481049917352946891611171561.9492.016
2014051318清远5220535291182534317110769691.6961.887
2014051318句容124626811277465043461242451851980.8920.988
2014051318佛山4614534597122826714210558660.7781.516

站点空气质量表

datehour站点AQIPM2.5PM2.5_24hPM10PM10_24hSO2SO2_24hNO2NO2_24hO3O3_24hO3_8hO3_8h_24hCOCO_24h
20140513181197A60365870111172660611421721461590.7010.72
20140513181088A6938598816625462768129129891190.9671.654
20140513181173A103435575102222330322062202062060.750.717
20140513181282A4229354265171520127210789890.9910.97
20140513181064A932436136109103016241401421061390.3170.738
20140513181391A25551257976415614739758940.3571.339
20140513181040A13210073141135262737432052241801800.9981.054
20140513181922A13710486147117142079497289381.7111.349
20140513181813A624455729612273857691371021352.4922.52
20140513181728A2414197425332426757545452.1532.441
20140513181946A511237511222417228681591651461700.4421.939
20140513181837A1279664133149284361361978451311.6341.364
20140513181704A2811522867304232377211369691.2351.767
20140513181619A76508710122642659574991521351350.9391.587
20140513181089A15111110725225610310255831391491061261.3411.223
20140513181065A8163711213234912541281321061210.3320.962
20140513181198A58356066114294746591291571311530.9561.266
20140513181041A13310164193136444953571972121701700.811.41
20140513181392A331115333312122121365041600.6270.616
20140513181174A84404673104293517201871971831830.7720.797
20140513181150A5533565981151941411231671571820.6010.683
20140513181283A62252473457539357011190901.361.38
20140513181923A977269129117212356517444442.0421.964
20140513181729A582227668629332024769271920.7520.802
20140513181838A128975310395122531214696581311.2221.048
20140513181705A3145143567761.49
20140513181814A96345214211614334665991701311671.3841.567
20140513181947A701843901573154191101431061370.0650.248
20140513181280A372213363988132211611896961.3531.425
20140513181195A814762112142254267641031411191501.261.35
20140513181086A116646318119783695981788362750.9910.933
20140513181171A79428110815130627295981531231600.5990.857
20140513181062A854443119105533275071134761320.1730.878
20140513181944A54917576622861111241161280.9620.831
20140513181835A18614083152305972513172501230.851
20140513181702A71254892133101239297511674741.5821.706
20140513181920A6244456513261364061599324800.711.239
20140513181811A78315410512293522401202441451921.4522.082
20140513181859A12897711108812152418859977982.1991.852
20140513181968A10656411099325342122121901900.7150.568
20140513181726A9728421431108221928636661670.6631.228
20140513181617A219169701211179042617611587871.782
20140513181508A85635373762928464377119881280.9031.051
20140513181390A22951225743718354729362710.3631.115
20140513181087A2071578117818857735283676951601.1181.304
20140513181063A7611161018323128531111301001110.3024.746
20140513181196A705170821213237565313613661660.730.981
20140513181281A5124245168964035679877830.9241.002
20140513181172A69337587131455710683651721271860.6830.882

相关文献

  • Dong, R., Fisman, R., Wang, Y., and Xu, N.H., 2019, “Air pollution, affect, and forecasting bias: Evidence from Chinese financial analysts”, Journal of Financial Economics, forthcoming.
  • Huang, J. K., Xu, N. H., and Yu, H.H., 2019, “Pollution and performance: Do investors make worse trades on hazy days?”, Management Science, forthcoming.
  • 黄溶冰、赵谦、王丽艳,2019:《自然资源资产离任审计与空气污染防治:“和谐锦标赛”还是“环保资格赛”》,《中国工业经济》第10期。
  • 沈永建、于双丽、蒋德权,2019:《空气质量改善能降低企业劳动力成本吗?》,《管理世界》第6期。
  • 孙传旺、罗源、姚昕,2019:《交通基础设施与城市空气污染——来自中国的经验证据》,《经济研究》第8期。
  • 陈硕、陈婷,2014:《空气质量与公共健康:以火电厂二氧化硫排放为例》,《经济研究》第8期。
  • 郭峰、石庆玲,2017:《官员更替、合谋震慑与空气质量的临时性改善》,《经济研究》第7期。
  • 罗知、李浩然,2018:《“大气十条”政策的实施对空气质量的影响》,《中国工业经济》第9期。

数据更新频率

年度更新