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
201405130三亚3625193333221314497152610.50.51
201405130三门峡95484814011726293725413442981.251.15
201405130上海109828311610318237356882061231690.881.02
201405130东莞9974461276923167957710032741.610.93
201405130东营1238649196111167751143829176961491.620.84
201405130中山5730636488812343876933451.71.36
201405130临安11486491551082112433159121821020.840.83
201405130临汾1259572170116507743373311061932.752.99
201405130临沂1197356188148796210457119444821.691.09
201405130丹东10680381256417193925921341011232.041.44
201405130丽水3219163229562428509964880.640.81
201405130义乌73534486635022563127159581441.110.87
201405130乌鲁木齐113413217513114178545116942571.080.66
201405130九江714430926723223427246946640.730.75
201405130乳山695032544812181716891591081510.950.85
201405130云浮5639236233121518157198122.972.39
201405130佛山88655712083313110276817537651.851.47
201405130保定9152341321124029292748135941081.281.07
201405130克拉玛依5824196554445586111871000.881.24
201405130兰州643759781193553506950148761121.191.85
201405130包头14044432291643155945415147771331.311.14
201405130北京814935112731885645711451051280.710.68
201405130北海614116724813171111871541081331.571.69
201405130南京109626716813716251186316198801740.981.03
201405130南充14110894148135172633314011040560.940.83
201405130南宁7353359680920484061142971231.471.33
201405130南昌924936133711321733215116551051.471.04
201405130南通11184921631386368957446189861570.821.47
201405130即墨947043130797137984538140731290.90.69
201405130厦门311819312819205549308948620.40.76
201405130句容836172856543434736752551361930.871.19
201405130台州78574967578632333511055970.950.98
201405130合肥93625213610515134527186628551.130.77
201405130吉林32913162456917103110871031.061.16
201405130吴江926648133875532623163146941391.110.82
201405130呼和浩特98543814511458396853217643622.262.02
201405130咸阳834443115134374076573010973881.151.16
201405130哈尔滨33232522348101938748465690.510.62
201405130唐山8255401138019164838801691211490.670.79
201405130嘉兴13910660153821927454580166941400.980.96
201405130嘉峪关5212245397334728291201711461621.10.9
201405130大同97563814310126366036418658801.362.22
201405130大庆3021292338991016808370740.370.4
201405130大连50303750558736398610883950.720.9
201405130天津69444387762324534051125851051.031.39
201405130太仓1068080114108396146331191531291391.211.32
201405130太原155102632601556159116621011162981.611.18
201405130威海5127315157202717281241771091350.50.66
201405130宁波584146666218376038682971111631.041.23
201405130安阳81506411112266327858511441031340.91.2

站点空气质量表

datehour站点AQIPM2.5PM2.5_24hPM10PM10_24hSO2SO2_24hNO2NO2_24hO3O3_24hO3_8hO3_8h_24hCOCO_24h
2014051301001A73413496731754245921551111370.70.738
2014051301002A32222860242320631431061290.20.221
2014051301003A845436118742083942861511131360.70.788
2014051301004A6739318460227293788154841270.60.686
2014051301005A7547361007820742521071761301550.60.675
2014051301006A835634115731985953771621191460.90.726
2014051301007A1026138153861710725648130941210.70.7
2014051301008A825941113741567645501551071350.80.636
2014051301009A254032476760.691
2014051301010A683232866935413359144951190.50.575
2014051301011A905541130852095853671471051260.60.596
2014051301012A8647351218924189755361429512610.629
2014051301013A775657718824213335661361001210.1170.774
2014051301014A723841937519203540851671281480.9361.478
2014051301015A623537746521222934671341021181.5342.072
2014051301016A67485076782219324172127951170.931.318
2014051301017A532833556028244339691341011161.0521.767
2014051301018A5967503219403661131941201.017
2014051301019A80455410910624353942701451121270.3351.302
2014051301020A836160648325223333801451071310.7151.262
2014051301021A644245788417264640661521091340.6311.023
2014051301022A72424893851316333257108811011.0871.356
2014051301023A764032102549235443118938631.3731.803
2014051301024A8865588987281911848124836430.7970.996
2014051301025A66373882941816424364127941100.731.114
2014051301026A865143122982726573751166881151.4711.17
2014051301027A82604490732326241967124941120.9161.091
2014051301028A79585011874441474822136741171.1391.076
2014051301029A124583719712598701136311151771321.1330.825
2014051301030A100504515011256409062957354610.81
2014051301031A131804521213877606516170921450.8460.603
2014051301032A14476342381091075691556128641131.371.073
2014051301033A1236336195947234904917164811380.610.465
2014051301034A127802520485116579855811552980.8270.613
2014051301035A80272711011190861091451641381400.4230.402
2014051301036A9347411369415123733811641251460.5380.587
2014051301037A10075381178314125930581791261560.7240.554
2014051301038A9038371307717165355981721191460.640.751
2014051301039A10780371396646476856731491061310.5160.526
2014051301040A855845120871083729801621241480.8010.772
2014051301041A695041837234284437831631141470.5331.095
2014051301042A723130936739502533142820271.3521.503
2014051301043A822211114641154840115725341.0440.874
2014051301044A4026234032263069144321271.0561.062
2014051301045A673841836418215437651431001180.7520.828
2014051301046A6636815729225824521871151541.3131.023
2014051301047A79525110715728404252901581241410.7190.995
2014051301048A98595814617218403547691301041181.6241.946
2014051301049A75546210015041525563771581181410.91.098
2014051301050A1821376614035583447571581191431.0381.525

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。

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