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各模型9号井地下水位预测结果MAE箱形图","id":"F11","captionEn":"Boxplot of <i>MAE</i> for Well No.9 by different models ","thumbnailUrl":"1007-2284-2025--6-147/thumbnail/7D806C28-B5BC-4c3d-8B44-53440866E3F9-F011.jpg"},{"captionCn":"GWN学习到的自适应邻接矩阵热图 ","magId":"09f3a8d3-58c7-460b-9466-6de81b87d007","labelCn":"图12","pptUrl":"1007-2284-2025--6-147/7D806C28-B5BC-4c3d-8B44-53440866E3F9-F012.jpg.ppt","labelEn":"Fig.12","figUrl":"1007-2284-2025--6-147/7D806C28-B5BC-4c3d-8B44-53440866E3F9-F012.jpg","titleEn":"Fig.12 Heatmap of the learned self-adaptiveadjacency matrix by GWN","titleCn":"图12 GWN学习到的自适应邻接矩阵热图","id":"F12","captionEn":"Heatmap of the learned self-adaptiveadjacency matrix by GWN ","thumbnailUrl":"1007-2284-2025--6-147/thumbnail/7D806C28-B5BC-4c3d-8B44-53440866E3F9-F012.jpg"}],"authorNotes_cn":["查元源（1987-），男，副教授，博士，主要研究方向为地下水、土壤水与农业水土环境；数值模拟、数据同化与水利人工智能。E-mail：zhayuan87@whu.edu.cn。"]}; new mag_vue({ el: '#metaVue', data:window.metaData, loading:true, doTextFun:function(text){ return 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Prediction Research on Groundwater Level in Irrigation area Based on Graph Neural Networks

XU Xiang-sen, ZHENG Fang-yuan, ZHA Yuan-yuan, Wang Yue

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China Rural Water and Hydropower ›› 2025 ›› (6) : 147-156. DOI: 10.12396/znsd.241189

Prediction Research on Groundwater Level in Irrigation area Based on Graph Neural Networks

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2024-07-26 2024-09-15 2025-06-15
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2025-06-20  

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