焦利民, 许刚, 赵素丽, 马明, 董婷, 李江月. 基于LUR的武汉市PM2.5浓度空间分布模拟[J]. 武汉大学学报 ( 信息科学版), 2015, 40(8): 1088-1094. DOI: 10.13203/j.whugis20130785
引用本文: 焦利民, 许刚, 赵素丽, 马明, 董婷, 李江月. 基于LUR的武汉市PM2.5浓度空间分布模拟[J]. 武汉大学学报 ( 信息科学版), 2015, 40(8): 1088-1094. DOI: 10.13203/j.whugis20130785
JIAO Limin, XU Gang, ZHAO Suli, MA Ming, DONG Ting, LI Jiangyue. LUR-based Simulation of the Spatial Distribution of PM2.5of Wuhan[J]. Geomatics and Information Science of Wuhan University, 2015, 40(8): 1088-1094. DOI: 10.13203/j.whugis20130785
Citation: JIAO Limin, XU Gang, ZHAO Suli, MA Ming, DONG Ting, LI Jiangyue. LUR-based Simulation of the Spatial Distribution of PM2.5of Wuhan[J]. Geomatics and Information Science of Wuhan University, 2015, 40(8): 1088-1094. DOI: 10.13203/j.whugis20130785

基于LUR的武汉市PM2.5浓度空间分布模拟

LUR-based Simulation of the Spatial Distribution of PM2.5of Wuhan

  • 摘要: 基于稀疏监测点的监测数据无法直接获取城市内部空气污染的高分辨率空间分布。以武汉市为例,研究了基于土地利用回归(landuseregression,LUR)模型的大气PM2.5浓度高分辨率空间分布模拟。采用双变量相关分析识别出与PM2.5浓度相关性最高的4个影响因子,分别是1000m缓冲区内道路长度,500m缓冲区内水域面积,500m缓冲区内建设用地面积以及工业污染影响。采用PM2.5月平均浓度和识别出的影响因子连同气象条件(月平均温度和月降水量)进行多元线性回归分析,相关系数R2达到0.905,调整后的R2为0.885。在研究区建立均匀格网(2km×2km),利用得到的LUR方程计算格点PM2.5浓度值,应用空间插值制成武汉市主城区夏季PM2.5浓度空间分布模拟图。模拟结果显示,主城区有三个PM2.5浓度高值中心,分别为青山工业区、江北工业区和汉口汉西建材市场区域。汉阳南部、武昌南部的大型湖泊和水域面积比例较大的区域表现为两个PM2.5浓度低值中心。

     

    Abstract: It is difficult to acquire small-scale spatial variation of intra-urban air pollutants fromsparsely distributed monitoring sites;therefore,a land use regression model was used to generate ahigh-resolution map of summertime PM2.5concentrations in Wuhan.Four spatial factors had high lev-els of correlation to PM2.5average concentrations were identified using a bivariate correlation analysis;road length in buffers with 1000mradius(x2),area of waters in buffers with 500mradius(x5),areaof construction land in buffers with 500mradius(x9)and point sources(x18).These four spatial fac-tors together with meteorological data(monthly average temperature and monthly precipitation)wereused as independent variables to build a multiple linear regression(MLR)model with PM2.5monthlyaverage concentration as the dependent variable.The R2 of the regression was 0.905,and the adjustedR2 was 0.885.We then built a grid at a resolution of 2km×2km.The PM2.5concentration for eachcell of the grid was estimated using the MLR equation.A high resolution map of PM2.5concentrationof Wuhan in summer was generated based on this grid and spatial interpolation results showing thehigh-resolution distribution of PM2.5concentration.There were three high-value centers of PM2.5con-centration,the Qingshan industrial zone,the north industrial zone,and Hanxi building material mar-kets area in Hankou.There were two low-value centers located at large lakes or in areas with largepercentage of water in south Hanyang and south Wuchang.

     

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