关中平原城市群PM_(2.5)时空演变格局及其影响因素  

Temporal and Spatial Evolution Pattern of PM_(2.5) and Its Influencing Factors in Guanzhong Plain Urban Agglomeration

作　　者：张军[1,2] 金梓函[1] 王玥 李旭 戴恩华 ZHANG Jun;JIN Zi-han;WANG Yue;LI Xu;DAI En-hua(Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation,Baoji University of Arts and Sciences,Baoji 721013,China;Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education,Chang'an University,Xi'an 710064,China)

机构地区：[1]宝鸡文理学院陕西省灾害监测与机理模拟重点实验室,宝鸡721013 [2]长安大学旱区地下水文与生态效应教育部重点实验室,西安710064

出　　处：《环境科学》2022年第12期5333-5343,共11页Environmental Science

基　　金：国家自然科学基金项目(41771215):旱区地下水文与生态效应教育部重点实验室(长安大学)开放基金项目(300102290504);陕西省灾害监测与机理模拟重点实验室项目(20JS012);宝鸡文理学院校级研究生创新科研项目(YJSCX22ZD09)。

摘　　要：PM_(2.5)作为大气污染的主要来源,其时空演变格局和影响因素对于大气环境质量调控具有重要意义.基于2000~2020年PM_(2.5)遥感反演数据,采用空间自相关和数理统计方法分析关中平原城市群PM_(2.5)时空演变特征,以海拔、年均气温和人均GDP等10种因子为自变量,结合地理探测器和多尺度地理加权回归(MGWR)模型对PM_(2.5)污染影响因素进行空间分异探究.结果表明:①2000~2020年,关中平原城市群PM_(2.5)浓度总体呈下降趋势.浓度高值区集中在研究区中东部,低值区集中在研究区西部.热点区域集中在临汾市和运城市,冷点区则集中在天水市和宝鸡市.②自然因子在关中平原城市群PM_(2.5)污染中占主导地位,2020年PM_(2.5)浓度主控影响因子按解释力大小排序依次为:海拔>年均气温>地形起伏度>年均相对湿度>年降水量>人均GDP>植被覆盖度>能源消耗指数.③主控影响因子按照作用尺度大小排序依次为:植被覆盖度>年均气温>能源消耗指数>年降水量>地形起伏度>海拔>人均GDP>年均相对湿度.其中人均GDP、地形起伏度、能源消耗指数和年均气温主要为正向作用,植被覆盖度、年降水量、海拔和年均相对湿度主要为负向作用.研究得出了关中平原城市群PM_(2.5)时空演变格局和影响因素,可为相关部门制定大气污染防治政策提供决策依据,同时丰富实证研究.PM_(2.5) is the main source of air pollution,and its spatial-temporal evolution pattern and influencing factors are of great significance for the regulation of atmospheric environmental quality.Based on the remote sensing inversion data of PM_(2.5) from 2000 to 2020,the spatial and temporal evolution characteristics of PM_(2.5) in Guanzhong Plain urban agglomeration are analyzed by using spatial autocorrelation and mathematical statistics.Taking 10 factors such as altitude,annual average temperature and per capita GDP as independent variables,combined with geographical detector and multi-scale geographical weighted regression(MGWR)model,the spatial differentiation of influencing factors of PM_(2.5) pollution is explored.The results show that:①From 2000 to 2020,the concentration of PM_(2.5) in Guanzhong Plain urban agglomeration shows a downward trend.The high concentration area is concentrated in the middle and east of the study area,and the low concentration area is concentrated in the west of the study area.Hot spots are concentrated in Linfen and Yuncheng,while cold spots are concentrated in Tianshui and Baoji.②Natural factors play a dominant role in PM_(2.5) pollution in Guanzhong Plain urban agglomeration.The main influencing factors of PM_(2.5) concentration in 2020 were ranked as follows:altitude>average annual temperature>topographic relief>average annual relative humidity>annual precipitation>per capita GDP>vegetation coverage>energy consumption index.③The order of main controlling factors according to the size of action scale is:vegetation coverage>average annual temperature>energy consumption index>annual precipitation>topographic relief>altitude>per capita GDP>average annual relative humidity.Among them,GDP per capita,topographic relief,energy consumption index and annual average temperature are mainly positive,while vegetation cover,annual precipitation,altitude and annual average relative humidity are mainly negative.The temporal and spatial evolution pattern and influencing factors of PM_(2.5

关 键 词：PM_(2.5) 时空演变 影响因素 地理探测器 多尺度地理加权回归(MGWR)模型 

分 类 号：X513[环境科学与工程—环境工程]