摘要
人工智能(AI)在水资源管理中的应用,旨在解决水资源短缺、水环境污染和水生态退化等复杂问题,其核心思想是利用人工智能的数据处理、模式识别和预测分析等能力构建水资源管理的智能化解决方案。主要研究AI技术在水资源领域的发展现状、关键技术和实际应用效果,探讨其在水文预测与分析、水质监测与评估、水资源管理与优化3个核心领域的应用潜力。在综合研究的基础上分析AI在水资源管理中的主要算法以及典型应用,如长短期记忆网络(LSTM)、门控循环单元(GRU)、Transformer等模型在水文预测中的应用,卷积神经网络(CNN)等在水质监测中的应用,DDPG、DQN等在水库调度中的应用;讨论AI技术在水位预测、洪水预报、水质参数反演、智能灌溉等场景中的实际应用。展望了AI在水资源管理领域应用的未来发展方向,强调需要加强物理机制与数据驱动方法的融合,提高模型透明度,为构建智慧水资源管理体系提供技术支撑。
The application of Artificial Intelligence(AI)in water resources management aims to solve complex issues such as water scarcity,water environmental pollution,and water ecological degradation.Its core idea is to utilize the data processing,pattern recognition and predic⁃tive analysis capabilities of Artificial Intelligence to build an intelligent solution for water resources management.This paper mainly studied the current development status,key technologies and practical application effects of AI technology in the field of water resources,and ex⁃plored its application potential in the three core fields of hydrological prediction and analysis,water quality monitoring and assessment,and water resources management and optimization.Based on comprehensive research,the main algorithms and typical applications of AI in water resources management were analyzed,such as the application of models like Long Short⁃Term Memory(LSTM),Gated Recurrent Unit(GRU)and Transformer in hydrological prediction,the application of Convolutional Neural Network(CNN)in water quality monitoring and the application of algorithms like DDPG and DQN in reservoir regulation.The practical applications of AI technology in scenarios such as wa⁃ter level prediction,flood forecasting,inversion of water quality parameters and intelligent irrigation were discussed.The future development direction of AI application in the field of water resources management was prospected,emphasizing the need to enhance the integration of physical mechanisms and data⁃driven methods,improve model transparency,and provide technical support for building a smart water re⁃sources management system.
作者
王军
吕鹏祥
李怡豪
WANG Jun;LYU Pengxiang;LI Yihao(Institute of Big Data Science,Zhengzhou University of Aeronautics,Zhengzhou 450046,China)
出处
《人民黄河》
北大核心
2025年第9期90-96,102,共8页
Yellow River
基金
河南省科技攻关项目(222102210292)。
关键词
人工智能
水资源管理
水文预测
水质监测
artificial intelligence
water resources management
hydrological prediction
water quality monitoring
作者简介
王军(1980-),男(回族),河南南阳人,教授,博士,研究方向为大数据与人工智能,E-mail:zzwjun@126.com。
