基于多源数据融合的城市PM2.5浓度监测技术研究

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关键词： 浓度监测；多源数据融合；遥感；移动传感；机器学习中图分类号：X831 文献标识码：A 文章编号：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

作为一种直径小于或等于 的细颗粒物，已成为影响城市空气质量的主要污染物之一。（剩余3775字）