基于多源數(shù)據(jù)融合的城市PM2.5濃度監(jiān)測(cè)技術(shù)研究

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關(guān)鍵詞： 濃度監(jiān)測(cè)；多源數(shù)據(jù)融合；遙感；移動(dòng)傳感；機(jī)器學(xué)習(xí)中圖分類(lèi)號(hào)：X831 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1008-9500（2025）04-0171-03DOI： 10.3969/j.issn.1008-9500.2025.04.047

Research on Urban Concentration Monitoring Technology Based on Multi-Source Data Fusion

YUE Tierong， ZHONG Shuhua， ZHANG Shuang

ouEcologicalEnvironmentMontoringCenterofHubeiProvincialDepartmentofEcologyandEnvionment，Ezhou46，C

Abstract：Traditional singledata source monitoring methodshaveproblems suchas lowaccuracyand limitedcoverage.In view of this，this study proposes a city concentration monitoring technology based on multi-source data fusion，which comprehensivelyutilizes various data sources such as ground monitoring stations，remote sensingsatelites，and mobile sensors.Throughstepssuchsdatapreprocesing，featureextractionndfusionagorithmoptimzation，ahigh-precisinnd large-scale concentration monitoring model is constructed.The experimental results show that this method significantly improves monitoringacuracyandspatiotemporalresolution，providingstrongsupportforurbanairqualitymanagement.

Keywords： concentration monitoring; multi-source data fusion;remote sensing; mobile sensing; machine learning

作為一種直徑小于或等于 的細(xì)顆粒物，已成為影響城市空氣質(zhì)量的主要污染物之一。（剩余3775字）