长江流域资源与环境 >> 2018, Vol. 27 >> Issue (09): 2142-2152.doi: 10.11870/cjlyzyyhj201809024

• 自然资源 • 上一篇    

基于遥感数据的PM2.5与城市化的时空关系研究——以成渝城市群为例

吴浪1,2,周廷刚1,2*,温莉1,2,刘晓璐1,2,朱晓波1,2   

  1. (1. 西南大学地理科学学院 ,重庆 400715 ;2. 遥感大数据应用重庆市工程研究中心,重庆 400715)
  • 出版日期:2018-09-20 发布日期:2018-11-09

Study on SpatioTemporal Relationship Between PM2.5 and Urbanization Based on Remote Sensing Data——A Case Study of ChengduChongqing Urban Agglomeration

WU Lang, ZHOU Tinggang, WEN Li, LIU Xiaolu, ZHU Xiaobo   

  1. (1.School of Geographical Sciences, Southwest University, Chongqing 400715,China; 2.Chongqing Engineering
    Research Center for Remote Sensing Big Data Application,Chongqing 400715,China)
  • Online:2018-09-20 Published:2018-11-09

摘要:  采用1998~2013年卫星遥感影像反演的PM2.5全球高精度产品数据集,结合GIS空间分析、地理加权回归(GWR)以及地理探测器等方法,系统地分析了成渝城市群城市化与PM2.5分布之间的关系。结果表明:(1)1998~2013年成渝城市群城市化速度较快,城市区域的PM2.5均值明显高于非城市区域,说明城市化对PM2.5具有一定的影响;(2)近16 a PM2.5重心与城市重心整体上都向东南方向移动,且两者每年在经度上的波动方向基本相反;(3)夜间灯光数据与PM2.5在空间分布上具有较好的一致性,且1998~2013年两者的GWR全局R2在0.86~0.95之间,相关性显著,研究区内城市化和人类活动对PM2.5的分布具有明显影响;(4)地理探测分析表明不同城市化因子对PM2.5影响差异显著,从2006到2013年城区人口密度和建成区绿化覆盖率逐渐成为成渝城市群PM2.5分布的主要影响因子。

Abstract: Using PM2.5 data from 1998 to 2013 that is inversed from satellite remote sensing images, and employing the methods in geospatial analysis, geographical weighted regression(GWR) and geographic detectors, this paper analyzes the relationship between urbanization and PM2.5 in ChengduChongqing urban agglomeration. The results shows as follows: (1) From 1998 to 2013, the urbanization of ChengduChongqing urban agglomeration has been rapid, and the PM2.5 average value in urban area is obviously higher than that in nonurban area, which indicates that urbanization has certain influence on PM2.5; (2) In recent 16 years, the center of gravity of PM2.5 and the city both generally move toward southeast, and their annual fluctuations in the longitude is basically opposite; (3) The nighttime light data has a good consistency with PM2.5 in the spatial distribution in ChengduChongqing urban agglomeration, and the global R2 of GWR is between 0.86-0.95. The urbanization and human activities in the study area have a significant impact on the distribution of PM2.5; (4) Geographical detection analysis shows that different urbanization factors account for PM2.5 concentration. From 2006 to 2013, the density of urban population and greening coverage of builtup areas have gradually become the main factors affecting the PM2.5 distribution in ChengduChongqing urban agglomeration.

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