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

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。

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.