Abstract In the current era, water is a significant resource for socio-economic growth and the protection of healthy environments. Properly controlled water resources are considered a vital part of development, which reduces poverty and equity. Conventional Water system Management maximizes the existing water flows available to satisfy all competing demands, including on-site water and groundwater. Therefore, Climatic change would intensify the specific challenges in water resource management by contributing to uncertainty. Sustainable water resources management is an essential process for ensuring the earth's life and the future. Nonlinear effects, stochastic dynamics, and hydraulic constraints are challenging in ecological planning for sustainable water development. In this paper, Adaptive Intelligent Dynamic Water Resource Planning (AIDWRP) has been proposed to sustain the urban areas' water environment. Here, an adaptive intelligent approach is a subset of the Artificial Intelligence (AI) technique in which environmental planning for sustainable water development has been modeled effectively. Artificial intelligence modeling improves water efficiency by transforming information into a leaner process, improving decision-making based on data-driven by combining numeric AI tools and human intellectual skills. In AIDWRP, Markov Decision Process (MDP) discusses the dynamic water resource management issue with annual use and released locational constraints that develop sensitivity-driven methods to optimize several efficient environmental planning and management policies. Consequently, there is a specific relief from the engagement of supply and demand for water resources, and substantial improvements in local economic efficiency have been simulated with numerical outcomes.

中文翻译：

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使用人工智能技术进行可持续环境规划的城市水资源管理

摘要 在当今时代，水是促进社会经济增长和保护健康环境的重要资源。适当控制的水资源被认为是发展的重要组成部分，可以减少贫困和公平。传统水系统管理最大限度地利用现有的水流量，以满足所有竞争性需求，包括现场水和地下水。因此，气候变化会加剧不确定性，从而加剧水资源管理中的具体挑战。可持续水资源管理是确保地球生命和未来的重要过程。非线性效应、随机动力学和水力约束在可持续水资源开发的生态规划中具有挑战性。在本文中，自适应智能动态水资源规划（AIDWRP）已被提出来维持城市地区的水环境。在这里，自适应智能方法是人工智能 (AI) 技术的一个子集，其中已对可持续水资源开发的环境规划进行了有效建模。人工智能建模通过将信息转化为更精简的流程来提高用水效率，通过结合数字人工智能工具和人类智力技能改进基于数据驱动的决策。在 AIDWRP 中，马尔可夫决策过程 (MDP) 讨论了动态水资源管理问题，包括年度使用和释放的位置约束，这些约束开发了敏感性驱动的方法来优化几个有效的环境规划和管理政策。最后，