Acta Scientiarum Naturalium Universitatis Pekinensis

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Retrieval on Mass Concentration of Urban Surface Suspended Paticulate Matter with LIDAR and Satellite Remotesensing

LI Qian1, LI Chengcai1, WANG Yefang1,2, LIN Changqing1, YANG Dongwei1, LI Ying3   

  1. 1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871; 2. Bai Cheng Ordnance Test Center of China, Baicheng 137001; 3. Institute for the Environment, Hong Kong University of Science and Technology, Hong Kong;
  • Received:2012-05-21 Online:2013-07-20 Published:2013-07-20

利用激光雷达和卫星遥感获得城市地面大气悬浮颗粒物浓度分布

李倩1,李成才1,王烨芳1,2,林常青1,杨东伟1,李莹3   

  1. 1. 北京大学物理学院大气与海洋科学系, 北京 100871; 2. 中国白城兵器试验中心, 白城 137001; 3. 香港科技大学环境研究所, 香港;

Abstract: The aerosol optical depth (AOD) products from Moderate Resolution Imaging Spectroradiometer (MODIS), aerosol extinction coefficient profiles from Light Detection and Ranging (LIDAR), surface relative humidity data and particulate matter (PM) mass concentration data over Yuan Long, Hong Kong in 2008 were used in the remote sensing of surface suspended particulate matter mass distribution. LIDAR data were used to get the relationship among surface aerosol extinction coefficient, LIDAR AOD and aerosol scale height, which was further applied in the retrieval of the distribution of surface aerosol extinction coefficients with satellite AOD. After considering relative humidity effect, the correlation between satellite estimated aerosol extinction coefficients and the corresponding surface PM mass was investigated. Finally, the surface PM mass distribution was obtained by synergy usage of satellite and LIDAR measurements. The results show that the correlation coefficients between the estimated aerosol extinction coefficients and the surface PM mass are 0.57?0.86 for PM2.5 and 0.59?0.78 for PM10, respectively. The Root Mean Square Errors (RMSEs) between estimated PM and surface measured PM mass are 11.64?25.34 g/m3 for PM2.5 and 24.64?91.64 g/m3 for PM10. Satellite remote sensing provides a promising way in atmospheric suspended particulate matter monitoring. The 1-km resolution AOD product is more suitable for describing the pollution in the urban areas with complicated topography.

Key words: MODIS, PM10, PM2.5, LIDAR, vertical correction, RH correction

摘要: 使用香港元朗地区2008年MODIS卫星遥感的气溶胶光学厚度(AOD)产品、激光雷达气溶胶消光系数垂直分布、地面相对湿度和地面气溶胶浓度观测资料等数据, 通过激光雷达数据建立地面消光系数和激光雷达AOD与气溶胶标高的关系, 利用这一关系和卫星AOD进行地面消光系数的反演估计, 并进行湿度订正; 通过建立地面气溶胶浓度和地面消光系数的关系, 进行卫星AOD产品和激光雷达气溶胶探测反演地面大气颗粒物质量浓度的研究及应用。结果表明, 卫星估计的地面消光系数与小时平均的颗粒物质量浓度观测值的相关系数为0.57~0.86 (PM2.5)和0.59~0.78 (PM10), 估计的质量浓度与小时平均的观测值对比的均方根偏差分别为11.64~25.34 g/m3 (PM2.5)和24.64~91.64 g/m3 (PM10), 表明可以通过卫星遥感进行大气悬浮颗粒物污染的监测应用。其中1 km分辨率的AOD产品, 因其更高的空间分辨率, 更适合反映具有复杂地形的城市地区大气悬浮颗粒物污染。

关键词: MODIS, PM10, PM2.5, 激光雷达, 垂直订正, 湿度订正

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