卫星遥感AOD与地面监测数据融合的城市颗粒物污染时空特征分析

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关键词：卫星遥感；气溶胶光学厚度（AOD）；数据融合；颗粒物污染；时空特征中图分类号：X513 文献标识码：A 文章编号：1008-9500（2026）02-0235-04DOI： 10.3969/j.issn.1008-9500.2026.02.072

Analysis of Spatiotemporal Characteristics of Urban Particulate Matter Pollution Using Satelite Remote Sensing AOD and Ground Monitoring Data Fusion

WANGXinghui，WANGZhenju，QIUNa，RENYan （Shaanxi Meteorological Information Center，Xi'an 710O16，China）

Abstract：Inrecentyears，theacelerationofurbanizationhasledtoincreasinglyseriousairpolutionproblems.Inorder toaccuratelymonitorthespatiotemporalchracteristicsofpolutioninthesudyarea，fivemajorcitiesintheGuanzhongplainof Shanxiprovince，includingXi'an，XianyangandBaojwereselectedasthesudyea.Sateliteremotesensingdataasused to monitorthecontinuousAerosolOpticalDepth （AOD）.Basedonthis，thepollutionconcentrationsofgroundparticulatemater such as PM2.5 and PM10 were estimated by inversion，and combined with arandom forest fusion model，the temporal evolution characteristicsandspatialdistributionpattersofparticulatematerpolutioninthestudyareafrom2O2Oto2O24 wereexplored. The results showed that the decrease in PM2.5 and PM10 in the studyarea from 2020 to 2024 was 21.93% and 19.42 % ，respectively. Fromthechangesinmonhlyaveragemassconcentration，thereissgnificantdiferenceinparticulatematerassconcetration betweenmonths.The mass concentrationreachesitspeak in Januaryanddrops tois troughinJuly.The massconcentrationduring thewinterheatingperiodisgenerallatahighevel.Thespatialdistributiontrendshowsthaturbanareasarehigherthansuburban areas.Insummary，themethodproposedinthestudycanefectivelyanalyzethecharacteristicsofparticulatematerpoutionn the region，providing scientific basis for urban air quality managementand polution control policy formulation.

KeyWords：sateliteremotesensing;AerosolOptical Depth（AOD）;data fusion;particulate matterpolution;spatiotemporal characteristics

随着社会经济的快速发展，城市化和工业化的加速使大气污染问题日益严重。（剩余3124字）