京津冀PM_(2.5)高时空分辨率遥感监测
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摘要
京津冀地区是当前我国大气污染最严重的地区.为了形成覆盖式监测能力,使用韩国GOCI静止卫星数据开发了PM_(2.5)高时空分辨率遥感系统,使用卫星气溶胶光学厚度和地面PM_(2.5)进行融合得到小时级PM_(2.5)遥感产品,对观测大气颗粒物空间动态变化具有先天优势.经过京津冀地区的独立地面站点检验,具备小时级高时间分辨率、2 km高空间分辨率的PM_(2.5)遥感产品和地面相关系数R2为0.69,且基于天基遥感数据的观测具有较好的独立性和客观性.长时间遥感观测结果表明,该系统可用于分析京津冀地区PM_(2.5)的空间分布规律.
The Beijing-Tianjin-Hebei is the most air-polluted area in China.To constitute the covering observing ability,the Korea GOCI geostationary satellite data was used to develop a high temporal-spatial PM_(2.5) remote sensing system.The satellite Aerosol Optical Depth and ground-based PM_(2.5) data were fused to get an hourly PM_(2.5) remote sensing product which have advances in aerosol dynamic monitoring.By validation referred to the independent ground sites data,the hourly 2 km resolution PM_(2.5) had 0.69 R2 against the ground data.Also,remote sensing product had the independence and objectivity.With long time measurements,the spatial distribution of PM_(2.5) could be analyzed in Beijing-Tianjin-Hebei area.
The Beijing-Tianjin-Hebei is the most air-polluted area in China.To constitute the covering observing ability,the Korea GOCI geostationary satellite data was used to develop a high temporal-spatial PM_(2.5) remote sensing system.The satellite Aerosol Optical Depth and ground-based PM_(2.5) data were fused to get an hourly PM_(2.5) remote sensing product which have advances in aerosol dynamic monitoring.By validation referred to the independent ground sites data,the hourly 2 km resolution PM_(2.5) had 0.69 R2 against the ground data.Also,remote sensing product had the independence and objectivity.With long time measurements,the spatial distribution of PM_(2.5) could be analyzed in Beijing-Tianjin-Hebei area.
引文
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[3]潘本锋,汪巍,王瑞斌,等.我国PM2.5监测网络布局与监测方法体系构建策略分析[J].环境与可持续发展,2013(3):9-13.
[4]葛邦宇,杨磊库,陈兴峰,等.暗目标法的Himawari-8静止卫星数据气溶胶反演[J].遥感学报,2018,22(1):38-50.
[5]LIN J,NIELSEN C P,ZHAO Y,et al.Recent changes in particulate air pollution over China observed from space and the ground:effectiveness of emission control[J].Environmental Science&Technology,2010,44(20):7771-7776.
[6]孙立娥,崔文连,王艳玲,等.基于环境一号卫星的PM2.5浓度遥感反演研究[J].中国环境监测,2016,32(3):129-134.
[7]陈辉,厉青,王中挺,等.利用MODIS资料监测京津冀地区近地面PM2.5方法研究[J].气象与环境学报,2014,30(5):27-37.
[8]李倩,李令军,张大伟,等.北京大气PM2.5遥感监测业务化方法探讨[J].环境科学研究,2016,29(10):1417-1425.
[9]徐建辉,江洪.长江三角洲PM2.5质量浓度遥感估算与时空分布特征[J].环境科学,2015,36(9):3119-3127.
[10]蒲立力,朱涵,袁东,等.利用卫星遥感数据估算上海市近地面空气PM2.5浓度的探索[J].环境与职业医学,2017,34(2):99-105.
[11]李同文,孙越乔,杨晨雪,等.融合卫星遥感与地面测站的区域PM2.5反演[J].测绘地理信息,2015,40(3):6-9.
[12]ZHANG Y,LI Z,ZHANG Y,et al.High temporal resolution aerosol retrieval using geostationary ocean color imager:application and initial validation[J].Journal of applied remote sensing,2014,8(1):083612.