| 关中平原城市群PM2.5时空演变格局及其影响因素 |
| 摘要点击 3127 全文点击 1536 投稿时间：2022-05-30 修订日期：2022-08-02 |
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| 中文关键词 PM2.5 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 |
| 英文关键词 PM2.5 spatio-temporal evolution influencing factors geographical detector multi-scale geographically weighted regression (MGWR) model |
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| 中文摘要 |
| PM2.5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PM2.5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PM2.5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PM2.5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PM2.5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PM2.5污染中占主导地位，2020年PM2.5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PM2.5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. |
| 英文摘要 |
| PM2.5 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 PM2.5 from 2000 to 2020, the spatial and temporal evolution characteristics of PM2.5 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 PM2.5 pollution is explored. The results show that:① From 2000 to 2020, the concentration of PM2.5 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 PM2.5 pollution in Guanzhong Plain urban agglomeration. The main influencing factors of PM2.5 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 PM2.5 in Guanzhong Plain urban agglomeration were obtained, which can provide decision-making basis for relevant departments to formulate air pollution prevention policies, and enrich empirical research. |
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