基于人工智能的城市空气质量动态监测研究  

Research on dynamic monitoring of urban air quality based on artificial intelligence

作　　者：叶三斌 YE Sanbin(Sanmenxia Lingbao ecological environment monitoring and security technology center,Lingbao 472500,China)

机构地区：[1]三门峡市灵宝生态环境监测与安全技术中心,河南灵宝472500

出　　处：《黑龙江环境通报》2025年第4期63-65,共3页Heilongjiang Environmental Journal

摘　　要：为实现城市空气质量的动态监测和精准治理,本文以黑龙江省城市空气质量监测为例,采用人工智能技术,融合多源异构大数据,分析了区域空气质量时空分布特征及影响因素。结果表明,城市空气污染存在明显的季节性和空间异质性,污染源、城市规划和公众意识是主要影响因素。最后提出了控制排放源、优化城市规划和加强公众参与的综合治理对策,以期为区域大气环境质量改善提供决策支持。To achieve dynamic monitoring and precise management of urban air quality,this paper takes the air quality monitoring in Heilongjiang Province as a case study.By employing artificial intelligence technology and integrating multi-source heterogeneous big data,the spatial-temporal distribution characteristics and influencing factors of regional air quality are analysed.The results indicate that urban air pollution exhibits significant seasonality and spatial heterogeneity,with pollution sources,urban planning,and public awareness being the primary influencing factors.Consequently,comprehensive management strategies are proposed,including controlling emission sources,optimising urban planning,and enhancing public participation,aiming to provide decision support for the improvement of regional atmospheric environmental quality.

关 键 词：空气质量 人工智能 城市大气污染 

分 类 号：X831[环境科学与工程—环境工程]