北京大学学报(自然科学版)

利用卫星遥感大气气溶胶进行待建环境监测站点位评估

李成才1,周寅亮1,李莹2,刘启汉2,贺千山3,杨复沫4   

  1. 1. 北京大学物理学院大气与海洋科学系, 北京 100871; 2. 香港科技大学环境研究所, 香港; 3. 上海市气象局, 上海200030; 4. 中国科学院重庆绿色智能技术研究院三峡生态环境研究所, 重庆 400714;
  • 收稿日期:2013-05-14 出版日期:2014-09-20 发布日期:2014-09-20

Assessment of the Location of One Background Monitoring Station to be Built with Particulate Matter Remote Sensing from Space

LI Chengcai1, ZHOU Yinliang1, LI Ying2, Alexis Kai-Hon LAU2, HE Qianshan3, YANG Fumo4   

  1. 1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871; 2. Institute for the Environment, Hong Kong University of Science & Technology, Hong Kong; 3. Shanghai Meteorological Service, Shanghai 200030; 4. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714;
  • Received:2013-05-14 Online:2014-09-20 Published:2014-09-20

摘要: 利用MTSAT-1R卫星资料中的红外1、红外2和水汽通道亮温数据, 在目标云块识别对比的基础上计算对流初生(CI)预报的8个指标值。根据京津地区的实际情况, 给出修正后的预报指标阈值, 并对2006-2007年京津地区进行17日次对流初生预报实验。实验结果表明, 该预报方法能够对1小时内的对流初生现象进行有效预报。结合云导风矢量给出检验预报结果的方法, 对该预报方法的预报效果进行量化统计。统计结果表明, 该方法预报对流初生的TS (threat score) 评分为0.545, 检测概率(POD)为0.654, 空报率(FAR)为0.435。

关键词: MODIS, PM10, 气溶胶, 站点评估

Abstract: The aerosol optical parameters derived from satellite remote sensing and the related surface PM10 mass concentration data in 2011?2012 over Suzhou and Wuxi Cities were used to assess the location selection of one background monitoring station to be built. The results showed that satellite remote sensing products with 10 km, 5 km and 2 km space average were all significantly correlated to the hourly PM10 concentration. Showing in the annual average regional distribution of satellite remote sensing results, the annual average PM10 mass concentration over the Xishan (the site to be built in Suzhou) will be significantly lower than those over the urban stations in the magnitude up to 14%. Statistical analysis based on an objective weather classification technique showed that the mean concentration of particulate matter over Xishan were lower than that of urban stations in the amplitude range of 7%?21% in various weather patterns. The smaller (7%?9%) concentration difference between the urban stations and the Xishan station could be found at two types of weather conditions, when there were a regional heavy pollution or a regional clean air quality, respectively.

Key words: MODIS, PM10, aerosol, monitoring station selection

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