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星地结合的细颗粒物超标防控区精确识别方法

A Satellite Remote Sensing and Site Monitoring Combined Method of PM2. 5 Concentration Off-limit Areas Accurate Recognition

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【作者】 廖程浩曾武涛张永波李莹林常青刘启汉

【Author】 LIAO Cheng-hao;ZENG Wu-tao;ZHANG Yong-bo;LI Ying;LIN Chang-qing;LIU Qi-han;Institute of Atmospheric Environment,Guangdong Provincial Academy of Environmental Science;Guangdong Provincial Environmental Protection Key Laboratory of Atmospheric environmental management and policy simulation;Department of Civil and Environmental Engineering,Hong Kong University of Science and Technology;

【机构】 广东省环境科学研究院大气环境研究所广东省环境保护大气环境管理与政策模拟重点实验室香港科技大学土木及环境工程学系

【摘要】 为精确识别细颗粒物(PM2. 5)浓度超标的区域空间,依据卫星遥感与站点监测在PM2. 5浓度观测方面的特点,建立遥感反演数据与站点监测数据间的临界映射分析法,综合卫星遥感覆盖面广和站点监测准确性高的技术优势。通过该方法研究珠三角区域2013年灰霾污染过程的PM2. 5浓度超标区域,结果表明,利用星地结合的方法可以精确识别出PM2. 5浓度超标的区域空间;广州市西部和南部、佛山市大部、肇庆市主城区及东南部、东莞市西部和北部、中山市北部和中部、江门市主城区及东部是珠三角PM2. 5污染的高发地区,应作为防控重点。

【Abstract】 In order to accurately identify the region with excessive PM2. 5 concentration,a threshold mapping method was established to combine the technological superiorities of satellite remote sensing and site monitoring.Base on wide spatial coverage of satellite remote sensing data and high accuracy of site monitoring data,the new method could be used to analyze PM2. 5 concentration spatial distribution and help figuring out exceeding standard areas accurately. According to the analysis in Pearl River Delta Region( PRD) in 2013,the frequencies of PM2. 5 concentration exceeding standard are significantly different among the districts and towns within PRD. While having high incidences of PM2. 5 pollution,southwest Guangzhou,most area of Foshan,southeast Zhaoqing,north and west Dongguan,north Zhongshan and northeast Jiangmen should be prioritized in the regional air pollution control.

【关键词】 细颗粒物污染范围卫星遥感站点监测
【Key words】 PM2.5pollution scoperemote sensingsite monitoring
【基金】 国家科技支撑计划(2014BAC21B04);广东省环境科学研究院科技创新基金(HKYKJ-201301)资助
  • 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2019年30期
  • 【分类号】X513
  • 【下载频次】69
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