大气环境监测中的大数据解析技术运用
Application of Big Data Analysis Technology in Atmospheric Environment Monitoring
杜巍涛 1张孟园 1李丹琳1
作者信息
- 1. 济南市生态环境监控中心,山东 济南 250012
- 折叠
摘要
在大气环境监测中,大数据解析技术可以用于识别、分析和预测空气污染物的浓度和来源.通过运用大数据解析技术,可以快速、准确地检测出空气中的污染物,提高环境监测的效率和精度.本文介绍了大数据解析技术在大气环境监测中的应用,包括数据采集、处理和分析等方面,并通过实际案例分析了大数据解析技术在大气环境监测中的应用效果.结果表明,大数据解析技术可以提高大气环境监测的准确性和效率,为环境保护和管理提供有力的支持.
Abstract
In atmospheric environment monitoring,big data analysis technology can be used to identify,analyze and predict the concentration and source of air pollutants.By using the big data analysis technology,the pollutants in the air can be detected quickly and accurately,and the efficiency and accuracy of environmental monitoring can be improved.This paper introduces the application of big data analysis technology in atmospheric environment monitoring,including data acquisition,processing and analysis,and analyzes the application effect of big data analysis technology in atmospheric environment monitoring through actual cases.The results show that big data analysis technology can improve the accuracy and efficiency of atmospheric environment monitoring,and provide strong support for environmental protection and management.
关键词
大气环境监测/大数据解析技术/应用Key words
atmospheric environment monitoring/big data parsing technology/application引用本文复制引用
出版年
2024
NETL
NSTL
万方数据