期刊论文

Spatial distribution stimulation and population exposure of PM_(2.5) based on Land Use Regression ———a case study of Hubei Province

中文

华中师范大学学报(自然科学版)

1000-1190

2019

53

3

451-458

10.19603/j.cnki.1000-1190.2019.03.020

19YJCZH220:教育部人文社会科学研究项目 CCNU18TS003:华中师范大学基本科研业务费专项 CCNU19A06051:华中师范大学基本科研业务费专项 2018CXZZ005:创新项目 2018YBZZ002:创新项目

本校为第一机构

大气细颗粒物是严重危害人体健康的主要污染物之一.该文以湖北省为例,采用LUR(土地利用回归)模型对各监测站点的PM_(2.5)浓度进行空间化模拟,并考察污染暴露强度的空间分异特征,为PM_(2.5)污染分区防控提供参考依据.结果表明:1)湖北省各站点PM_(2.5)浓度差异较大,平均浓度高于环境空气质量二级标准,浓度大小受到站点风速、气温、海拔与3km缓冲区内绿地面积等因子的显著影响,风速升高会加重污染,后3个因子增加则有利于降低污染.2)基于LUR模型的空间化结果显示,PM_(2.5)浓度在省域尺度上呈现出明显的“中部高、东部低、西部最低”的梯度差序特征,其中武汉城市圈、江汉平原与襄阳部分地区污染较重,...

Atmospheric fine particulate matter is one of the major pollutants that threatens human health seriously.Taking Hubei Province as an example,in this paper LUR(land use regression)model is applied in spatializing the PM_(2.5) concentration data of each monitoring station,and the spatial variation of population exposure intensity is investigated on top of that,so as to provide reference for the prevention and control of pollution regionally.The results show as follows.1)The concentration of 60 monitoring sites differ a lot and the average PM_(2.5) concentration of sites exceeds the second level ...