首页|基于多源卫星遥感的中国城市绿地大气污染削减作用研究:Ⅰ.大气污染颗粒物

基于多源卫星遥感的中国城市绿地大气污染削减作用研究:Ⅰ.大气污染颗粒物

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颗粒物是城市大气污染的重要来源,对生态环境和人类健康构成严重威胁.文章利用数学模型和多源卫星遥感数据,量化了 2000-2020年中国城市绿地对PM2.5和PM10的削减量,并分析了其时空变化及环境因素的影响.实验结果表明:植被对PM的干沉降作用呈现先波动上升再下降趋势,这种变化是因为地方政策驱动下的大气污染物颗粒物浓度骤降导致的;干沉降作用优势树种依次为:常绿阔叶>落叶阔叶>常绿针叶>落叶针叶,其中阔叶林总体占干沉降总量的89.22%;PM2.5削减量与环境影响因子在时域空间上的相干性要比PM10更加复杂,解释PM变化的最佳变量为降水.关于城市绿地干沉降作用的结论对城市大气污染防治和城市可持续发展有重要意义.
Air Pollution Reduction Effect of Urban Green Spaces in China Based on Multi-source Satellite Remote Sensing:Ⅰ.Particulate Matter of Air Pollution
Particulate matter(PM)is a major source of urban air pollution that poses a serious threat to the environment and human health.This study utilizes mathematical models and multi-source satellite remote sensing data to quantify the reduction of PM2.5 and PM10 in urban green spaces in China from 2000 to 2020,and analyzes its spatiotemporal variations and the impact of environmental factors.The experimental results show that:from 2000 to 2020,the dry deposition effect of PM2.5 and PM10 on vegetation shows an initial increasing and then decreasing trend caused by the sudden drop in atmospheric pollutant particle concentration driven by local policies;the dominant tree species of dry subsidence are evergreen broad-leaved>deciduous broad-leaved>evergreen coniferous>deciduous coniferous,and the broad-leaved forest accounts for 89.22%of the total dry subsidence;the coherence between PM2.5 reduction and these factors is more complex than that of PM10,with precipitation being the best variable to explain the change in PM2.5 and PM10.These findings are important for the prevention and control of urban air pollution and sustainable development of cities.

dry deposition effectair pollutionUFOREwavelet coherencespatiotemporal analysis

么嘉棋、吴舒祺、冀新慧、胡朵朵、翟浩然

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天津师范大学京津冀生态文明发展研究院,天津 300387

首都师范大学资源环境与旅游学院,北京 100048

阿里巴巴达摩院,杭州 311121

自然资源部国土卫星遥感应用中心,北京 100048

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干沉降效应 大气污染 UFORE 小波相干 时空分析

国家自然科学基金

42301501

2024

遥感信息
科学技术部国家遥感中心,中国测绘科学研究院

遥感信息

CSTPCD北大核心
影响因子:0.712
ISSN:1000-3177
年,卷(期):2024.39(4)