摘要
随着生态文明建设和生态环境保护进入了数据驱动的新时代,数据挖掘技术在生态环境保护领域中应用的广度和深度都不断加强。本文首先介绍了数据挖掘的过程和当前常用的数据挖掘工具,然后从生态系统监管、企业排污状况监管、环境质量预警、环境监测与评价等角度阐述数据挖掘技术的应用。可见,环境保护工作能力的提升离不开数据挖掘技术的发展,从传统的统计分析技术到机器学习技术、从依赖计算机软件的数据挖掘技术到借助物联网和云计算的数据挖掘技术,环境保护工作正朝着更加科学、更加智能、更加高效的方向发展。
With the construction of ecological civilization and the protection of ecological environment,the application of data mining technology in the field of ecological environment protection has been strengthened.First introduce the process of data mining and the common data mining tools,and then expounds the application of data mining technology from ecosystem supervision,enterprise pollution monitoring,environmental quality warning,environmental monitoring and evaluation.Therefore,from the traditional statistical analysis technology to machine learning technology,from the data mining technology relying on computer software to the data mining technology relying on the Internet of things and cloud computing,environmental protection work is moving towards a more scientific,intelligent and efficient direction.
作者
林书乐
Lin Shule(Department of Environmental Monitor,Guangdong Polytechnic of Environmental Protection Engineering,Foshan Guangdong 528216,China)
出处
《环境与发展》
2020年第2期4-5,8,共3页
Environment & Development
基金
广东省高等职业教育品牌专业建设项目“环境监测与控制技术”。
关键词
数据挖掘技术
生态环境
环境保护
Data mining technology
Ecological environment
Environmental protection
