太原市PM2.5浓度与土地利用及植被覆盖的关系
Relationship between PM2.5 concentration and land use and vegetation cover in Taiyuan city
李巍 1卢文宇1
作者信息
- 1. 黑龙江科技大学 矿业工程学院,哈尔滨 150022
- 折叠
摘要
为探究太原市大气环境污染问题的根源,改善城市空气质量,通过对太原市 2020-2021 年9 个全自动污染监测分站 PM2.5 浓度数据、PM2.5 网格数据、Landsat 影像进行处理,分析PM2.5与土地利用以及植被覆盖的关系.结果表明:太原市PM2.5浓度随季节变化,在冬春两季呈浓度高峰,在夏秋两季呈相对低谷;城市发展、城市化扩张、耕地面积增加会导致PM2.5 浓度增加,而林地面积增加会导致PM2.5浓度降低;通过建立的PM2.5与植被覆盖度的回归模型,得出二者有极强的相关性.
Abstract
This paper is aimed at exploring the source of air pollution in Taiyuan city and improving the urban air quality.The study processes PM2.5 concentration data,PM2.5 grid data and Landsat images-from 9 fully automatic pollution monitoring sub-stations in Taiyuan city from 2020 to 2021,and analyzes the relationship between PM2.5 and land use together with vegetation cover.The results show that the con-centration of PM2.5 is irregular with seasons.Specifically,the concentration peak appears in spring and winter,and the low ebb emerges in summer and autumn.Urban development,urbanization expansion and the increase of cultivated land area can cause the concentration increase of PM2.5,while the increase of woodland area can lead to the concentration decrease of PM2.5.By establishing the regression model of PM2.5 and vegetation cover,it is found that PM2.5 have a strong correlation with the two factors.
关键词
PM2.5/时空分布/土地利用类型/植被覆盖Key words
PM2.5/spatial and temporal distribution/land use type/vegetation coverage引用本文复制引用
基金项目
教育部产学合作协同育人项目(220902313275334)
国家重点研发计划项目(2021YFD150070505)
出版年
2024
国家科技期刊平台
NSTL
万方数据