{"title":"评估农业管理含水层补给(Ag-MAR)对缓解灌溉农业区地下水枯竭的作用","authors":"Yalin Song , Shurong Li , Xinqiang Du , Xueyan Ye","doi":"10.1016/j.agwat.2025.109882","DOIUrl":null,"url":null,"abstract":"<div><div>Groundwater is essential for agricultural irrigation but faces severe depletion, leading to ecological degradation. In China’s Sanjiang Plain—an important grain-producing region—groundwater supplies over 90 % of total water use, creating serious sustainability challenges. Agricultural managed aquifer recharge (Ag-MAR) offers a potential solution, yet its success depends on site-specific geological and hydrological conditions, which are often overlooked by existing evaluation systems. This highlights a critical need to integrate surface water availability with subsurface hydrogeological features to better guide site selection. This study develops a region-specific framework combining geographic information systems (GIS), the analytic hierarchy process (AHP), and numerical groundwater modeling to assess Ag-MAR feasibility in the Sanjiang Plain. Six indicators, with geology as decisive factor, are used to construct a suitability evaluation system. Results show that 20.24 % of the region—mainly in the Jiansanjiang reclamation area—is highly suitable for recharge, using diverted river water for managed infiltration rather than relying on natural river–aquifer interactions. A groundwater model, calibrated for 2011–2020, is applied to predict recharge outcomes under three scenarios for 2020–2045: Scenario 1 (No recharge), Scenario 2 (Target-area recharge), and Scenario 3 (Optimized recharge distribution). Scenario 1 shows continued decline, while Scenario 2 reduces depletion by 94 %. Scenario 3 achieves a further 1.8 % reduction, aligning maximum water-level increases with optimal recharge zones. Under Scenario 3, depletion is virtually eliminated and water levels stabilize around 6 m. This framework provides technical support for sustainable groundwater management and offers transferable guidance for Ag-MAR implementation in similar agricultural regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"320 ","pages":"Article 109882"},"PeriodicalIF":6.5000,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing agricultural managed aquifer recharge (Ag-MAR) for groundwater depletion mitigation in irrigated agricultural zones\",\"authors\":\"Yalin Song , Shurong Li , Xinqiang Du , Xueyan Ye\",\"doi\":\"10.1016/j.agwat.2025.109882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Groundwater is essential for agricultural irrigation but faces severe depletion, leading to ecological degradation. In China’s Sanjiang Plain—an important grain-producing region—groundwater supplies over 90 % of total water use, creating serious sustainability challenges. Agricultural managed aquifer recharge (Ag-MAR) offers a potential solution, yet its success depends on site-specific geological and hydrological conditions, which are often overlooked by existing evaluation systems. This highlights a critical need to integrate surface water availability with subsurface hydrogeological features to better guide site selection. This study develops a region-specific framework combining geographic information systems (GIS), the analytic hierarchy process (AHP), and numerical groundwater modeling to assess Ag-MAR feasibility in the Sanjiang Plain. Six indicators, with geology as decisive factor, are used to construct a suitability evaluation system. Results show that 20.24 % of the region—mainly in the Jiansanjiang reclamation area—is highly suitable for recharge, using diverted river water for managed infiltration rather than relying on natural river–aquifer interactions. A groundwater model, calibrated for 2011–2020, is applied to predict recharge outcomes under three scenarios for 2020–2045: Scenario 1 (No recharge), Scenario 2 (Target-area recharge), and Scenario 3 (Optimized recharge distribution). Scenario 1 shows continued decline, while Scenario 2 reduces depletion by 94 %. Scenario 3 achieves a further 1.8 % reduction, aligning maximum water-level increases with optimal recharge zones. Under Scenario 3, depletion is virtually eliminated and water levels stabilize around 6 m. This framework provides technical support for sustainable groundwater management and offers transferable guidance for Ag-MAR implementation in similar agricultural regions.</div></div>\",\"PeriodicalId\":7634,\"journal\":{\"name\":\"Agricultural Water Management\",\"volume\":\"320 \",\"pages\":\"Article 109882\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Water Management\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378377425005967\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Water Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378377425005967","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
Assessing agricultural managed aquifer recharge (Ag-MAR) for groundwater depletion mitigation in irrigated agricultural zones
Groundwater is essential for agricultural irrigation but faces severe depletion, leading to ecological degradation. In China’s Sanjiang Plain—an important grain-producing region—groundwater supplies over 90 % of total water use, creating serious sustainability challenges. Agricultural managed aquifer recharge (Ag-MAR) offers a potential solution, yet its success depends on site-specific geological and hydrological conditions, which are often overlooked by existing evaluation systems. This highlights a critical need to integrate surface water availability with subsurface hydrogeological features to better guide site selection. This study develops a region-specific framework combining geographic information systems (GIS), the analytic hierarchy process (AHP), and numerical groundwater modeling to assess Ag-MAR feasibility in the Sanjiang Plain. Six indicators, with geology as decisive factor, are used to construct a suitability evaluation system. Results show that 20.24 % of the region—mainly in the Jiansanjiang reclamation area—is highly suitable for recharge, using diverted river water for managed infiltration rather than relying on natural river–aquifer interactions. A groundwater model, calibrated for 2011–2020, is applied to predict recharge outcomes under three scenarios for 2020–2045: Scenario 1 (No recharge), Scenario 2 (Target-area recharge), and Scenario 3 (Optimized recharge distribution). Scenario 1 shows continued decline, while Scenario 2 reduces depletion by 94 %. Scenario 3 achieves a further 1.8 % reduction, aligning maximum water-level increases with optimal recharge zones. Under Scenario 3, depletion is virtually eliminated and water levels stabilize around 6 m. This framework provides technical support for sustainable groundwater management and offers transferable guidance for Ag-MAR implementation in similar agricultural regions.
期刊介绍:
Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.