Mapping the knowledge structure and evolution of artificial intelligence for water reuse and sustainable water management
对2015-2025年AI用于水回用与可持续水管理的3280篇文献做文献计量分析，梳理知识结构与演化
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Groundwater Potential Mapping in Northwestern Nigeria: A Comparison of the Analytic Hierarchy Process and Galileo-Enhanced CAT-XGB
对比专家驱动AHP与遥感基础模型增强的CAT-XGB集成，用于尼日利亚西北部地下水潜力制图。
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DEVELOPMENT OF A DELTA-BASED XGBOOST MODEL FOR FORECASTING RESERVOIR STORAGE DYNAMICS
提出基于增量学习的XGBoost模型预测水库日蓄水量增量，提升短期动态预报精度。
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WaterFormer-MS: A multi-stream deep learning framework for surface water segmentation from satellite imagery
提出多流深度学习框架WaterFormer-MS，从Sentinel-2影像中精准分割地表水体。
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Machine learning based precipitation modeling using multi satellite data for climate resilient water resource management in Bundelkhand India
用多源卫星数据和机器学习预测印度半干旱区降水，XGBoost优于CNN。
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AI in energy and water conservation
提出卡塔尔国家AI水智能平台NAWIP，整合多源数据实现水预测、优化与协调。
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Artificial intelligence adoption and food security in Saudi Arabia: the critical role of water-use efficiency management
研究沙特AI采用与粮食安全、水资源效率的动态关系，发现AI提升短期粮食安全与工业用水效率。
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