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北京大气PM2.5遥感监测业务化方法探讨

李倩 李令军 张大伟 赵文慧 姜磊 张立坤 孙瑞雯

李倩, 李令军, 张大伟, 赵文慧, 姜磊, 张立坤, 孙瑞雯. 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.
引用本文: 李倩, 李令军, 张大伟, 赵文慧, 姜磊, 张立坤, 孙瑞雯. 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.
LI Qian, LI Lingjun, ZHANG Dawei, ZHAO Wenhui, JIANG Lei, ZHANG Likun, SUN Ruiwen. Routine Operational Algorithm for Remote Sensing of Atmospheric PM2.5 in Beijing[J]. Research of Environmental Sciences, 2016, 29(10): 1417-1425.
Citation: LI Qian, LI Lingjun, ZHANG Dawei, ZHAO Wenhui, JIANG Lei, ZHANG Likun, SUN Ruiwen. Routine Operational Algorithm for Remote Sensing of Atmospheric PM2.5 in Beijing[J]. Research of Environmental Sciences, 2016, 29(10): 1417-1425.

北京大气PM2.5遥感监测业务化方法探讨

基金项目: 北京市公益科技项目(Z131100006113009)

Routine Operational Algorithm for Remote Sensing of Atmospheric PM2.5 in Beijing

  • 摘要: 为探索卫星遥感监测大气ρ(PM2.5)业务化方法,以北京为例,利用2013年MODIS卫星资料和北京35个地面自动监测站(下称自动站)的实时观测数据,以目前国内外应用最广泛的3种卫星反演大气气溶胶的方法——AOD(气溶胶光学厚度)、Kdrya,0(气溶胶干消光系数)和Ra(气溶胶表观反照率)反演地面ρ(PM2.5)的方法(分别称为AOD法、Kdrya,0法和Ra法)为基础,结合地面ρ(PM2.5)实测数据,建立了气溶胶反演参数与ρ(PM2.5)统计关系,进一步测算了全市区域ρ(PM2.5)的分布情况.结果表明:3种方法都具有较高的反演精度,其获取的全年ρ(PM2.5)与地面实测数据的相关系数分别达到0.80、0.81和0.85,其中Ra法结果精度最高.从季节来看,Ra法在除夏季外的其他季节与地面监测数据相关系数都在0.70以上,优于其他2种方法.建议在春、秋、冬三季以Ra法,夏季以AOD法或Kdrya,0法为基础进行北京PM2.5业务化遥感监测.基于Ra法探讨了在2013年11月20—23日区域性大气重污染过程中北京PM2.5区域分布特征和变化过程,卫星反演结果相对误差低于20%,直观地反映了区域大气颗粒物污染的时空分布规律.研究显示,三者都可以用来反演北京地区ρ(PM2.5),其中Ra法最简便易行,尤其适用于业务化遥感监测.

     

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出版历程
  • 收稿日期:  2016-04-18
  • 修回日期:  2016-06-11
  • 刊出日期:  2016-10-25

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