环境管理数据挖掘在污染源追踪中的应用探究
Exploration of the Application of Environmental Management Data Mining in Pollution Source Tracking
傅昂毅 1林安辉 2陆德生3
作者信息
- 1. 浙江聚创方舟科技有限公司,浙江 杭州 310000
- 2. 杭州宏顺环保科技有限公司,浙江 杭州 310000
- 3. 杭州佳亿德环保科技有限公司,浙江 杭州 310000
- 折叠
摘要
环境管理数据挖掘在污染源追踪中发挥着重要作用.本文系统分析了数据挖掘技术在环境领域的应用,特别是在污染源识别方面的关键方法和挑战.通过数据采集、特征提取、模型建立和优化等步骤,并结合可视化与解释,可实现对污染源的精准追踪.本文通过案例研究和前景展望,揭示了数据挖掘在环境管理中的潜力和未来发展方向.
Abstract
Environmental management data mining plays an important role in pollution source tracking.This article systematically analyzes the application of data mining technology in the field of environment,especially the key methods and challenges in identifying pollution sources.Through data collection,feature extraction,model establishment and optimization,combined with visualization and interpretation,precise tracking of pollution sources is achieved.Through case studies and prospects,the potential and future development direction of data mining in environmental management have been revealed.
关键词
环境管理/数据挖掘/污染源追踪Key words
environmental management/data mining/pollution source tracking引用本文复制引用
出版年
2024
NETL
NSTL
万方数据