基于大数据分析的大气污染源识别与治理优化研究  

Identification and Treatment Optimization of Air Pollution Sources Based on Big Data Analysis

作　　者：张建明 Zhang Jianming(Wudi County Ecological Environment Monitoring Center,Binzhou 251900,China)

机构地区：[1]无棣县生态环境监控中心,山东滨州251900

出　　处：《皮革制作与环保科技》2024年第23期97-99,共3页Leather Manufacture and Environmental Technology

摘　　要：大气污染已成为全球性环境问题,严重威胁着人类健康与生态环境。本文基于大数据分析方法,对大气污染源进行识别,并针对主要污染源提出优化治理措施。研究收集了大量环境监测数据和污染源排放数据,运用数据挖掘、机器学习等技术,建立了污染源识别模型。结果表明,工业生产、机动车尾气和燃煤排放是主要污染来源。在此基础上,本文提出了优化产业结构、推广清洁能源、提升车辆排放标准等治理措施。Air pollution has become a global environmental problem,a serious threat to human health and ecological environment.Based on big data analysis method,this paper identifies air pollution sources and puts forward optimization measures for the main pollution sources.The research collected a large amount of environmental monitoring data and pollution source emission data,and established a pollution source identification model by using data mining,machine learning and other technologies.The results show that industrial production,motor vehicle exhaust and coal burning are the main sources of pollution.On this basis,this paper puts forward measures to optimize the industrial structure,promote clean energy,and improve vehicle emission standards.

关 键 词：大数据分析 大气污染 污染源识别 治理优化 

分 类 号：TS5[轻工技术与工程—皮革化学与工程]