京津冀及周边地区大气污染防治重点关注区域遥感综合分析

Remote Sensing Synthetic Analysis of Key Areas of Air Pollution in Beijing-Tianjin-Hebei(BTH) and Its Surrounding Area

京津冀及周边地区的城乡结合部及县城周边地区散乱污企业污染严重,面源管控困难,准确快速地确定环境督查重点关注区域,可有效提高现场环境执法效能。而仅仅获取单一的大气污染源要素浓度分布情况不能全面反映实际的空气质量污染水平,也无法准确定位大气污染源,因此基于MODIS、OMI等卫星遥感数据,利用灰霾像元识别及统计、地理加权回归(GWR)、光谱差分吸收(DOAS)和主成分分析(PCA)等方法,开展灰霾面积、细颗粒物(PM_(2.5))、NO_2和SO_2等大气污染物浓度反演,并计算2016年9月以来的多次重污染天气中各项污染物浓度均值,通过区域空气重污染高发指数公式计算提取重污染高发地区,最后结合高空间分辨率影像划定污染企业疑似聚集区,作为环境督查的重点关注区域。通过所划定的重点关注区域,可以准确定位大气污染源聚集区,有效提高环境执法的精准性和执法效率,为环境执法提供技术支撑,解决环境监察人力不足的问题。

There are serious pollution of enterprises in the BTH and its surrounding area,especially in the rural-urban continuum areas.Non-point source pollution is difficult to control.Rapid and accurate determination of targets for air pollution monitoring and informationization of on-site environmental law enforcement are the keys to the monitoring of atmospheric environment.This paper retrieves haze,PM2.5,NO2 and SO2 from the MODIS and OMI data.based on the comprehensive analysis of the satellite data of twelve typical heavy pollution episodes since September 2016,we have calculated the Heavy Pollution High Incidence Index(HPHII),and then combined with the high resolution images to find out the suspected gathering area of the polluting enterprise as the key areas of environmental supervision.This work will provide technical support for environmental law enforcement and improve the accuracy of law enforcement and law enforcement efficiency effectively,so as to solve the problem of human shortage in environmental monitoring.