[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2768":3,"related-2768":112},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":80,"slug":83,"view_count":22,"doi":84,"paper":85,"created_at":111},2768,"Spatial–temporal variability of the Bua River’s physicochemical water quality: a DPSIR-based analysis","https:\u002F\u002Fdoi.org\u002F10.1080\u002F15715124.2026.2722406","Freshwater ecosystems are increasingly threatened by climate variability and catchment degradation, resulting in declining water quality and ecosystem resilience. We assessed spatial and seasonal variability in water quality along the Bua River, Malawi, and applied the Drivers–Pressures–State–Impact–Response (DPSIR) framework to identify degradation pathways and management responses. A stratified sampling design was used across upstream, midstream, and downstream sections during three distinct seasons. Downstream sections consistently exhibited poorer water quality, with turbidity reaching 17.17 ± 0.63 NTU, EC increasing to 183.00 ± 2.80 µS cm−1, ammonium concentrations reaching 120.14 ± 2.00 µg L−1, and chlorophyll-a increasing to 6.70 ± 0.70 µg L−1. Factorial ANOVA revealed significant seasonal effects (F₂,₅₂ = 21.84, p \u003C 0.0001), site (F₂,₅₂ = 6.25, p = 0.0036), and water-quality parameters (F₁₃,₅₂ = 58.80, p \u003C 0.0001). Elevated nutrient concentrations and sediment loads were associated with anthropogenic stressors. Our DPSIR linked these pressures to ecological degradation, declining fisheries productivity and increasing risks to water-dependent livelihoods. Our findings highlight the need for integrated catchment management, riparian restoration, climate-smart agriculture, and strengthened water-quality monitoring to support Malawi’s Nationally Determined Contributions (NDCs), and Sustainable Development Goals (SDGs).","淡水生态系统日益受到气候变率和流域退化的威胁，导致水质下降和生态系统恢复力减弱。我们评估了马拉维布阿河沿线水质的空间和季节变异性，并应用驱动力—压力—状态—影响—响应（DPSIR）框架来识别退化路径和管理响应。采用分层抽样设计，在三个不同季节对上游、中游和下游河段进行采样。下游河段的水质始终较差，浊度达到17.17 ± 0.63 NTU，电导率（EC）升高至183.00 ± 2.80 µS cm⁻¹，铵盐浓度达到120.14 ± 2.00 µg L⁻¹，叶绿素a增加至6.70 ± 0.70 µg L⁻¹。因子方差分析（ANOVA）揭示了显著的季节效应（F₂,₅₂ = 21.84，p \u003C 0.0001）、点位效应（F₂,₅₂ = 6.25，p = 0.0036）和水质参数效应（F₁₃,₅₂ = 58.80，p \u003C 0.0001）。营养物浓度和沉积物负荷升高与人为压力因素相关。我们的DPSIR框架将这些压力与生态退化、渔业生产力下降以及依赖水资源生计的风险增加联系起来。我们的研究结果凸显了综合流域管理、河岸带修复、气候智慧型农业和加强水质监测的必要性，以支持马拉维的国家自主贡献（NDCs）和可持续发展目标（SDGs）。",null,"International Journal of River Basin Management","2026-09-16T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,16,13,9,1,"以DPSIR框架量化马拉维Bua河水质时空变化，方法规范、数据翔实，但属境外流域案例，对国内三农与农业信息化的直接借鉴价值有限，可作国际参考而非每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候变化","水资源管理","水质监测","流域治理","面源污染",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,59,65,70,75],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":51},4,true,[],[50],"水资源",[28],{"code":53,"score":54,"supported":47,"title":55,"abstract":56,"tags":58},"D",3,[],[57],"渔业",[],{"code":60,"score":54,"supported":47,"title":61,"abstract":62,"tags":64},"I1",[],[63],"smart agriculture",[],{"code":66,"score":22,"supported":14,"title":67,"abstract":68,"tags":69},"D4",[],[],[29],{"code":71,"score":22,"supported":14,"title":72,"abstract":73,"tags":74},"H5",[],[],[31],{"code":76,"score":22,"supported":14,"title":77,"abstract":78,"tags":79},"H7",[],[],[27],[81,82],"水资源管理 气候变化 水质监测 流域治理","水资源管理 气候变化","水资源管理气候变化水质监测流域治理-2768","10.1080\u002F15715124.2026.2722406",{"doi":84,"openalex_id":86,"authors":87,"venue":10,"cited_by_count":101,"oa_url":102,"card":103,"direction":109,"ingested_from":110},"W7213250794",[88,91,93,95,98],{"name":89,"orcid":90},"James N. Nkhoswe","https:\u002F\u002Forcid.org\u002F0000-0002-9044-5913",{"name":92,"orcid":9},"Amon Aine",{"name":94,"orcid":9},"Tamara Tembo",{"name":96,"orcid":97},"Madalitso Chatsika","https:\u002F\u002Forcid.org\u002F0000-0002-3354-4720",{"name":99,"orcid":100},"A. H. N. Mtethiwa","https:\u002F\u002Forcid.org\u002F0000-0003-0793-5186",0,"https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33845035",{"tldr":104,"method":105,"finding":106,"direction":107,"opportunity":108},"评估马拉维布阿河水质时空变化，并用DPSIR框架分析退化路径与管理对策。","三季上中下游分层采样，测定理化指标，因子方差分析与DPSIR框架。","下游水质最差，浊度、电导率、铵盐和叶绿素a显著升高，季节与点位影响显著。","农业绿色发展与碳","可结合流域农业面源污染监测与气候智慧型农业措施，量化其对水质及碳减排的协同效应。","智慧农业 \u002F 农业物联网","openalex","2026-09-17T23:30:10.468460Z",{"total":113,"page":22,"page_size":113,"items":114},6,[115,237,324,383,454,525],{"id":116,"title":117,"url":118,"summary":119,"summary_zh":120,"content":9,"source_name":121,"source_url":118,"published_at":122,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":123,"sources":128,"tags":130,"primary_topic":135,"secondary_topics":139,"classification":146,"search_phrases":207,"slug":210,"view_count":101,"doi":211,"paper":212,"created_at":236},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",{"impact":20,"substance":124,"depth":125,"authority":126,"freshness":17,"relevant":22,"comment":127},18,15,12,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[129],{"name":121,"url":118},[27,131,132,133,134],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":76,"slug":136,"name":137,"path":138,"parent_code":37},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[140,145],{"code":141,"slug":142,"name":143,"path":144,"parent_code":37},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":147},{"candidates":148,"agricultural_evidence":47},[149,156,161,167,175,182,188,195,201],{"code":76,"score":124,"supported":47,"title":150,"abstract":152,"tags":155},[151],"climate change",[27,153,154,151],"气候适应","干旱",[27],{"code":141,"score":125,"supported":47,"title":157,"abstract":158,"tags":160},[142],[159,142],"土壤",[131],{"code":33,"score":13,"supported":47,"title":162,"abstract":163,"tags":166},[],[164,50,34,165],"灌溉","evapotranspiration",[133],{"code":168,"score":169,"supported":47,"title":170,"abstract":171,"tags":174},"I3",7,[],[172,173],"遥感","remote sensing",[132],{"code":176,"score":113,"supported":47,"title":177,"abstract":178,"tags":181},"A8",[],[179,180],"粮食安全","food security",[],{"code":60,"score":113,"supported":47,"title":183,"abstract":184,"tags":187},[],[185,186],"精准农业","precision agriculture",[],{"code":189,"score":113,"supported":47,"title":190,"abstract":191,"tags":194},"I4",[],[192,193],"地理信息","geographic information",[],{"code":196,"score":54,"supported":47,"title":197,"abstract":198,"tags":200},"F3",[],[199],"养分管理",[],{"code":202,"score":54,"supported":47,"title":203,"abstract":204,"tags":206},"J1",[],[205],"农业政策",[],[208,209],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":211,"openalex_id":213,"authors":214,"venue":121,"cited_by_count":101,"oa_url":118,"card":230,"direction":234,"ingested_from":110},"W7222999158",[215,217,219,221,223,225,228],{"name":216,"orcid":9},"Asifa Naz",{"name":218,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":220,"orcid":9},"Syed Asghar Hussain Shah",{"name":222,"orcid":9},"Shahrish Nawaz",{"name":224,"orcid":9},"Muhmmad Irfan",{"name":226,"orcid":227},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":229,"orcid":9},"Muhammad Nouman Khalid",{"tldr":231,"method":232,"finding":233,"direction":234,"opportunity":235},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","农业遥感与作物表型","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":238,"title":239,"url":240,"summary":241,"summary_zh":242,"content":9,"source_name":243,"source_url":240,"published_at":244,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":245,"score_detail":246,"sources":249,"tags":251,"primary_topic":255,"secondary_topics":256,"classification":258,"search_phrases":305,"slug":308,"view_count":101,"doi":9,"paper":309,"created_at":323},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",73,{"impact":124,"substance":18,"depth":247,"authority":126,"freshness":113,"relevant":22,"comment":248},17,"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[250],{"name":243,"url":240},[252,179,27,253,254],"智慧农业","适应性策略","水资源短缺",{"code":76,"slug":136,"name":137,"path":138,"parent_code":37},[257],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":259},{"candidates":260,"agricultural_evidence":47},[261,266,270,274,281,288,295,299],{"code":76,"score":124,"supported":47,"title":262,"abstract":263,"tags":265},[151],[27,154,151,264],"drought",[27],{"code":33,"score":21,"supported":47,"title":267,"abstract":268,"tags":269},[],[164,50,34],[],{"code":176,"score":169,"supported":47,"title":271,"abstract":272,"tags":273},[],[179,180],[179],{"code":275,"score":113,"supported":47,"title":276,"abstract":277,"tags":280},"A2",[],[278,279],"小麦","wheat",[],{"code":282,"score":113,"supported":47,"title":283,"abstract":284,"tags":287},"A3",[],[285,286],"玉米","maize",[],{"code":289,"score":113,"supported":47,"title":290,"abstract":291,"tags":294},"A6",[],[292,293],"棉花","cotton",[],{"code":60,"score":46,"supported":47,"title":296,"abstract":297,"tags":298},[],[63],[252],{"code":300,"score":54,"supported":47,"title":301,"abstract":302,"tags":304},"H6",[],[303],"农业生态",[],[306,307],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":9,"openalex_id":310,"authors":311,"venue":243,"cited_by_count":101,"oa_url":240,"card":318,"direction":109,"ingested_from":110},"W7222907396",[312,314,316],{"name":313,"orcid":9},"Mohammad Shafiq Faieq",{"name":315,"orcid":9},"Mustafa Abid",{"name":317,"orcid":9},"Abdul khalil Afghani",{"tldr":319,"method":320,"finding":321,"direction":107,"opportunity":322},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","2026-10-19T23:30:11.285828Z",{"id":325,"title":326,"url":327,"summary":328,"summary_zh":329,"content":9,"source_name":330,"source_url":331,"published_at":332,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":333,"score_detail":334,"sources":336,"tags":338,"primary_topic":342,"secondary_topics":343,"classification":350,"search_phrases":363,"slug":366,"view_count":22,"doi":367,"paper":368,"created_at":382},4914,"Water Optimizer: A Tool for Decision Support and Policy Analysis","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.413426","Water Optimizer is a tool for analyzing alternative water management strategies when the available water supply is limited. It can be used by producers to determine the profit maximizing crops to produce and the optimum amount of water to apply to each crop, given a particular water supply. It can also be used to evaluate the economic consequences of public policies which expand or reduce the amount of irrigation.","水资源优化器是一种在可用供水有限时分析替代水资源管理策略的工具。生产者可用其确定在特定供水量下能实现利润最大化的作物种类及每种作物的最优灌溉水量，也可用于评估扩大或减少灌溉面积的公共政策的经济后果。","Lincoln (University of Nebraska)","https:\u002F\u002Fdigitalcommons.unl.edu\u002Fageconworkpap\u002F43","2026-10-13T00:00:00Z",67,{"impact":126,"substance":124,"depth":19,"authority":20,"freshness":17,"relevant":22,"comment":335},"内布拉斯加大学开发的灌溉决策支持工具，方法实用但属细分领域工具类论文，公共影响有限。",[337],{"name":330,"url":331},[339,28,340,341],"决策支持系统","灌溉决策","农业政策分析",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[344],{"code":345,"slug":346,"name":347,"path":348,"parent_code":349},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":40,"locked":14,"version":41,"method":42,"evidence":351},{"candidates":352,"agricultural_evidence":47},[353,358],{"code":33,"score":354,"supported":47,"title":355,"abstract":356,"tags":357},11,[],[164,50,34],[28,340],{"code":345,"score":21,"supported":47,"title":359,"abstract":361,"tags":362},[360],"decision support",[],[339],[364,365],"Water Optimizer 灌溉决策","内布拉斯加大学 水资源管理","WaterOptimizer灌溉决策-4914","10.22004\u002Fag.econ.413426",{"doi":367,"openalex_id":369,"authors":370,"venue":330,"cited_by_count":101,"oa_url":375,"card":376,"direction":380,"ingested_from":110},"W38113320",[371,373],{"name":372,"orcid":9},"Derrel L. Martin",{"name":374,"orcid":9},"Ray Supalla","http:\u002F\u002Fdigitalcommons.unl.edu\u002Fageconworkpap\u002F43",{"tldr":377,"method":378,"finding":379,"direction":380,"opportunity":381},"开发了Water Optimizer工具，在有限供水下优化作物种植与灌溉量以最大化利润。","基于优化模型与决策支持工具，分析不同供水策略及政策的经济影响。","该工具能帮助生产者选择利润最大化作物和最优灌溉量，并评估灌溉政策的经济后果。","农业人工智能与决策模型","可结合实时气象与土壤数据，开发动态灌溉决策模型，并拓展至多目标（经济-环境）优化。","2026-10-14T23:30:55.832240Z",{"id":384,"title":385,"url":386,"summary":387,"summary_zh":388,"content":9,"source_name":389,"source_url":386,"published_at":390,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":333,"score_detail":391,"sources":393,"tags":395,"primary_topic":399,"secondary_topics":403,"classification":409,"search_phrases":433,"slug":436,"view_count":101,"doi":437,"paper":438,"created_at":453},4753,"Mapping groundwater potential zones using GIS, remote sensing and analytical hierarchy process (AHP) in Pader and Kitgum Districts, Uganda","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04943-7","Groundwater is a crucial source of freshwater in semi-arid regions, particularly in water-stressed areas, such as northern Uganda, where the surface water is scarce and unreliable precipitation patterns changes. This province lacks sufficient clean water for human consumption and only 20% of the water for agriculture extracted from the ground due to inaccessibility and insufficient information regarding the groundwater. With regard to these difficulties in water that are faced by the local communities, it has not been yet studied the distribution of groundwater in Kitgum and Pader districts. Therefore, the result of this research contributes preliminary groundwater investigation for contacting this indispensable source of water. The study employed a geospatial approach integrated with multi-criteria analysis to identify groundwater potential zones in Kitgum and Pader districts of Acholi subregion. The Utilization of Geographic Information Systems (GIS), remote sensing, and the Analytic Hierarchy Process (AHP) and six thematic layers; rainfall, drainage density, slope, soil type, geology, and land use\u002Fland cover were selected based on their hydrogeological influence and the accessibility of the data. After standardizing, and assigning normalized weights,a weighted overlay analysis in ArcGIS Pro version 3.1.0 was used to synthesize these layers into a comprehensive groundwater potential zonation map. The result categorized the study area into five zones; very low, low, medium, high, and very high potential. The analysis revealed that Kitgum District is predominantly characterized by very low to low groundwater potential zones of 67.24% when it is combined both, constrained by factors such as higher drainage density, and steeper slopes. Conversely, Pader District showed favorable conditions, with 85.5% of its area classified as high to very high groundwater potential, attributed to gentle slopes, and higher rainfall, that enhance infiltration capacity. Validation against yield data from 18 existing boreholes demonstrated a 75.0% alignment between the model and actual well performance, confirming the model’s reliability at acceptable result. This study demonstrated the effectiveness of GIS-based and AHP as a cost-effective tool for preliminary groundwater exploration in data-scarce environments. The resulting groundwater potential map provides a vital scientific foundation for sustainable water resource management, enabling targeted borehole siting, informed aquifer development, and resilience-building strategies to enhance water security for communities and livelihoods in the Acholi sub-region.","地下水是半干旱地区重要的淡水来源，尤其是在乌干达北部等水资源紧张地区，那里地表水稀缺且降水模式变化不可靠。该地区缺乏足够的清洁饮用水供人类消费，由于地下水难以获取且信息不足，仅有20%的农业用水来自地下开采。鉴于当地社区面临这些水资源困难，基特古姆和帕德尔地区的地下水分布尚未得到研究。因此，本研究结果为接触这一不可或缺的水源提供了初步的地下水调查。本研究采用地理空间方法与多准则分析相结合，识别阿乔利次区域基特古姆和帕德尔地区的地下水潜力区。利用地理信息系统（GIS）、遥感技术和层次分析法（AHP），基于其水文地质影响和数据可获取性，选取了六个主题图层：降雨量、河网密度、坡度、土壤类型、地质和土地利用\u002F土地覆盖。经过标准化和归一化权重赋值后，使用ArcGIS Pro 3.1.0版本中的加权叠加分析将这些图层综合成一张全面的地下水潜力分区图。结果将研究区划分为五个区域：极低、低、中等、高和极高潜力。分析表明，基特古姆区主要以极低至低地下水潜力区为主，两者合计占67.24%，受较高河网密度和较陡坡度等因素制约。相反，帕德尔区表现出有利条件，其85.5%的面积被归类为高至极高地下水潜力，这归因于平缓的坡度和较高的降雨量，增强了入渗能力。利用18口现有钻孔的出水量数据进行验证，模型与实际井表现之间的一致率达到75.0%，证实了模型在可接受结果范围内的可靠性。本研究证明了基于GIS和AHP的方法作为数据稀缺环境中初步地下水勘探的成本效益工具的有效性。所生成的地下水潜力图为可持续水资源管理提供了重要的科学基础，有助于有针对性地选址钻孔，为知情决策提供依据。","Discover Sustainability","2026-10-10T00:00:00Z",{"impact":17,"substance":18,"depth":247,"authority":20,"freshness":21,"relevant":22,"comment":392},"基于GIS、遥感与AHP的乌干达北部地下水潜力制图研究，方法成熟、验证可靠，对缺水地区农业水资源规划有参考价值，但属区域性初步研究，公共影响有限。",[394],{"name":389,"url":386},[172,28,396,397,398],"GIS","地下水潜力","乌干达农业",{"code":189,"slug":400,"name":401,"path":402,"parent_code":349},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[404,408],{"code":168,"slug":405,"name":406,"path":407,"parent_code":349},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":410},{"candidates":411,"agricultural_evidence":47},[412,416,420,425,429],{"code":189,"score":124,"supported":47,"title":413,"abstract":414,"tags":415},[396],[192,396,193],[396],{"code":168,"score":125,"supported":47,"title":417,"abstract":418,"tags":419},[173],[172,173],[172],{"code":33,"score":17,"supported":47,"title":421,"abstract":422,"tags":424},[],[50,423],"water resource",[397,28],{"code":141,"score":113,"supported":47,"title":426,"abstract":427,"tags":428},[],[159,142],[],{"code":76,"score":54,"supported":47,"title":430,"abstract":431,"tags":432},[],[154],[],[434,435],"乌干达 Kitgum Pader 地下水","GIS AHP 地下水潜力","乌干达KitgumPader地下水-4753","10.1007\u002Fs43621-026-04943-7",{"doi":437,"openalex_id":439,"authors":440,"venue":389,"cited_by_count":101,"oa_url":386,"card":448,"direction":234,"ingested_from":110},"W7221339030",[441,444,446],{"name":442,"orcid":443},"Ahmed Abdirizak Dirie","https:\u002F\u002Forcid.org\u002F0009-0002-8109-0724",{"name":445,"orcid":9},"Abdulkadir Ahmed Mohamed",{"name":447,"orcid":9},"Ambiga Kannapiran",{"tldr":449,"method":450,"finding":451,"direction":234,"opportunity":452},"用GIS、遥感和AHP制图评估乌干达两区地下水潜力并验证。","GIS与遥感结合AHP，加权叠加6个主题图层，用18口井数据验证。","Kitgum区67.24%为低潜力，Pader区85.5%为高潜力，模型与井数据吻合75%。","可将该地下水潜力制图方法迁移到其他数据稀缺区，并结合农业灌溉需求优化井位。","2026-10-12T23:30:24.761508Z",{"id":455,"title":456,"url":457,"summary":458,"summary_zh":459,"content":9,"source_name":460,"source_url":457,"published_at":461,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":245,"score_detail":462,"sources":465,"tags":467,"primary_topic":471,"secondary_topics":472,"classification":474,"search_phrases":501,"slug":504,"view_count":22,"doi":505,"paper":506,"created_at":524},4527,"Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques","https:\u002F\u002Fdoi.org\u002F10.1111\u002F1477-8947.70100","ABSTRACT From a socio‐economic perspective, it is of interest to find out whether sustainable water resources can truly sustain rural livelihoods. Based on historical research, it is known that an improvement on resilient economic indicators such as ground water is often correlated with socio‐economic improvements and other aspects of rural livelihoods. The extent of factors affecting livelihood sustenance and improvement in the village of Raleras, Maharashtra, aids in creating a definite understanding of the facets correlating with groundwater restoration. Subsistence channels, arising as an outcome of the created impoundment structures, are tested for their impact on income gains and livelihood improvement. Examination on collected opinion was carried out to provide insights into the ‘before’ and ‘after’ (2015–2023) conditions. A five‐capitals framework has been employed for the interpretation of these results, along with a multivariate analysis to predict a causal framework for the improvement of livelihoods in agrarian economies through creation of check dams and watershed management. Time series study shows that there is greater variance in the NDVI progressively from 2021 to 2023 with values ranging from 0.25 to 0.50 in 2015, to 0.50–0.75 by 2021. Further increase in green patches in 2023 indicates enhanced vegetation health especially in the northern regions. Alternately, NDWI values elaborate initial severe water stress (−0.25 to 0.00) with progressive improvements in localized areas. The spatial variation map shows that eventually there is a notable improvement with more land supporting shrubbery along with more water bodies. The prominent increase in vegetation particularly in the later years can be attributed to water management initiatives undertaken in Raleras. The distributions of the annual average revenue from agricultural operations in 2015 (M = 146,907, SD = 95445.8) and 2023 (M = 706860.5, SD = 655748.3) showed a statistically significant improvement [ t (214) = 13.06, p \u003C 0.001]. The low p ‐value of 0.001205 ( p \u003C 0.05) of the educational facilities utilised indicates a statistically significant result, proving the association between educational quality and improved water facilities. All of the variables under evaluation, including the respondents' vehicle type, landholding type, and house type, have large and positive chi‐squared values, suggesting that the ‘before’ and ‘after’ distributions for each of these variables differ. Principal Component Analysis is used to summarise correlated livelihood indicators and reveals that income growth and livelihood improvement is multi‐dimensional. Multiple pathways to income change are identified through Partial Least Squares Regression, including agriculture and market‐linked channels. A Random Forest Regression Model is utilised to assess the relative importance of livelihood channels and baseline characteristics. Results indicate that improvement in irrigation access, crop diversification, housing quality, livestock ownership and female literacy are strongly associated with higher income gains. Hence, it may be said that the groundwater recharge as a result of construction of check dams must have improved agricultural activity or agricultural output in a material manner, and accordingly all capitals for Raleras have improved.","从社会经济视角来看，探究可持续水资源能否真正维持农村生计具有重要意义。基于历史研究可知，地下水等韧性经济指标的改善往往与社会经济进步及农村生计的其他方面相关联。马哈拉施特拉邦拉莱拉斯村影响生计维持与改善的因素程度，有助于明确理解与地下水恢复相关的各个维度。作为所建蓄水设施产物的生计渠道，其对面收入增长和生计改善的影响得到了检验。对收集到的意见进行了考察，以深入了解“之前”和“之后”（2015—2023年）的状况。研究采用了五资本框架来解读这些结果，并结合多变量分析，预测通过修建拦水坝和流域管理来改善农业经济生计的因果框架。时间序列研究表明，从2021年到2023年，NDVI的变异性逐渐增大，2015年数值范围为0.25至0.50，到2021年升至0.50至0.75。2023年绿色斑块进一步增加，表明植被健康状况改善，尤其是在北部地区。另一方面，NDWI值显示初期存在严重的水分胁迫（−0.25至0.00），后在局部地区逐步改善。空间变异图显示，最终出现了显著改善，更多土地能够支持灌木生长，同时水体也有所增加。植被的显著增加，尤其是在后期，可归因于拉莱拉斯村所实施的水资源管理举措。2015年（M = 146,907，SD = 95445.8）和2023年（M = 706860.5，SD = 655748.3）农业经营年均收入的分布显示出统计学上显著的改善[t(214) = 13.06，p \u003C 0.001]。所利用教育设施的p值为0.001205（p \u003C 0.05），表明结果具有统计学显著性，证明了教育质量与改善的供水设施之间的关联。所有受评估变量，包括受访者的车辆类型、土地持有类型和房屋类型，均具有较大且正向的卡方值，表明这些变量各自的“之前”和“之后”分布存在差异。","Natural Resources Forum","2026-10-07T00:00:00Z",{"impact":126,"substance":463,"depth":124,"authority":20,"freshness":17,"relevant":22,"comment":464},22,"以机器学习与遥感数据量化印度半干旱村庄水资源可持续性对生计的影响，方法扎实、结论具体，但属境外案例研究，对国内三农信息化仅有方法借鉴价值。",[466],{"name":460,"url":457},[468,469,28,132,470],"乡村振兴","机器学习","灌溉农业",{"code":345,"slug":346,"name":347,"path":348,"parent_code":349},[473],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":475},{"candidates":476,"agricultural_evidence":47},[477,482,486,492,497],{"code":345,"score":21,"supported":47,"title":478,"abstract":480,"tags":481},[479],"machine learning",[],[469],{"code":33,"score":17,"supported":47,"title":483,"abstract":484,"tags":485},[],[50,34],[28,470],{"code":487,"score":54,"supported":47,"title":488,"abstract":489,"tags":491},"C",[],[490],"livestock",[],{"code":493,"score":22,"supported":14,"title":494,"abstract":495,"tags":496},"G",[],[],[468],{"code":168,"score":22,"supported":14,"title":498,"abstract":499,"tags":500},[],[],[132],[502,503],"Raleras 马哈拉施特拉 水资源","check dam 地下水 生计","Raleras马哈拉施特拉水资源-4527","10.1111\u002F1477-8947.70100",{"doi":505,"openalex_id":507,"authors":508,"venue":460,"cited_by_count":101,"oa_url":9,"card":518,"direction":380,"ingested_from":110},"W7220922038",[509,512,514,516],{"name":510,"orcid":511},"Papiya Deb","https:\u002F\u002Forcid.org\u002F0000-0002-6554-5111",{"name":513,"orcid":9},"Roopsha Deb",{"name":515,"orcid":9},"Udaysinh Bhosale",{"name":517,"orcid":9},"Vemula Sai Vikas",{"tldr":519,"method":520,"finding":521,"direction":522,"opportunity":523},"用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。","NDVI\u002FNDWI遥感、五资本框架、多元分析与卡方检验，2015–2023数据。","水管理举措显著提升植被覆盖与农业收入，教育设施改善与水资源改善显著相关。","数字乡村与农业信息化","可结合遥感时序与农户调查，量化水利工程对生计的因果效应并推广至其他半干旱区。","2026-10-09T23:30:50.079298Z",{"id":526,"title":527,"url":528,"summary":529,"summary_zh":530,"content":9,"source_name":531,"source_url":528,"published_at":532,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":533,"score_detail":534,"sources":538,"tags":540,"primary_topic":544,"secondary_topics":545,"classification":548,"search_phrases":572,"slug":575,"view_count":22,"doi":576,"paper":577,"created_at":595},4030,"Enhancing Drought Monitoring Using Integrated Remote Sensing and Ground-Based Indices","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jastp.2026.106987","ABSTRACT Accurate and timely drought monitoring is essential for sustainable water resource management, particularly in semi-arid regions where meteorological observations are sparse and spatially heterogeneous. This study presents an integrated evaluation of drought conditions by applying established individual and composite drought indices within a unified multi-source framework that combines ground-based meteorological data with satellite-derived datasets, including MODIS land surface products and GPM\u002FTRMM precipitation estimates, and is implemented on the Google Earth Engine platform. A set of drought indicators representing vegetation condition, thermal stress, precipitation deficit, and soil moisture variability was analyzed alongside five composite indices to provide a multi-dimensional assessment of drought dynamics. The analysis was conducted across monthly, seasonal, and annual timescales for Tehran, Iran, over the period 2000–2022. In addition, trend significance was assessed using the Mann–Kendall test and Sen’s slope estimator to quantify long-term changes in drought behavior. The results indicate that composite indices provide a more coherent representation of drought evolution and are more effective in capturing the interaction among key climatic drivers. In particular, the analysis reveals a transition from precipitation-driven droughts (e.g., 2008 and 2016) to increasingly temperature-driven drought conditions (e.g., 2022), associated with elevated potential evapotranspiration and thermal stress. This highlights the growing importance of atmospheric evaporative demand in intensifying drought severity under warming conditions. From an applied perspective, the proposed framework supports drought early warning, spatial risk assessment, and informed decision-making in water resource management and agricultural planning. However, the reliability of the results depends on data quality, spatial resolution, and the representation of key drought drivers and should therefore be interpreted with these limitations in mind. The study demonstrates that the integrated application of multi-source data and multi-scale drought indices provides a robust basis for understanding and monitoring drought dynamics in semi-arid urban environments.","准确的干旱监测对于可持续水资源管理至关重要，尤其是在气象观测稀疏且空间异质性强的半干旱地区。本研究在统一的多源框架内，应用已有的单一和综合干旱指数对干旱状况进行综合评估，该框架将地面气象数据与卫星遥感数据集（包括MODIS地表产品和GPM\u002FTRMM降水估算）相结合，并在Google Earth Engine平台上实现。研究分析了表征植被状况、热胁迫、降水亏缺和土壤湿度变率的干旱指标集以及五种综合指数，以对干旱动态进行多维评估。分析在月、季和年尺度上针对伊朗德黑兰2000—2022年期间开展。此外，采用Mann–Kendall检验和Sen斜率估计器评估趋势显著性，以量化干旱行为的长期变化。结果表明，综合指数能更一致地表征干旱演变，且更能有效捕捉关键气候驱动因子之间的相互作用。具体而言，分析揭示了从降水驱动型干旱（如2008年和2016年）向日益增强的温度驱动型干旱（如2022年）的转变，这与潜在蒸散和热胁迫升高有关。这凸显了在变暖条件下大气蒸发需求在加剧干旱严重程度方面日益重要的作用。从应用角度看，所提出的框架可支持干旱预警、空间风险评估以及水资源管理和农业规划中的知情决策。然而，结果的可靠性取决于数据质量、空间分辨率以及关键干旱驱动因子的表征，因此在解读时应考虑这些局限性。本研究表明，多源数据与多尺度干旱指数的综合应用为理解和监测半干旱城市环境中的干旱动态提供了稳健基础。","Journal of Atmospheric and Solar-Terrestrial Physics","2026-10-01T00:00:00Z",74,{"impact":535,"substance":536,"depth":124,"authority":20,"freshness":17,"relevant":22,"comment":537},14,21,"多源遥感与地面指数融合的干旱监测框架，方法扎实、结论有新意，但属区域案例研究，产业影响有限。",[539],{"name":531,"url":528},[541,28,132,542,543],"农业气象","Google Earth Engine","干旱预警",{"code":76,"slug":136,"name":137,"path":138,"parent_code":37},[546,547],{"code":168,"slug":405,"name":406,"path":407,"parent_code":349},{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":549},{"candidates":550,"agricultural_evidence":47},[551,555,559,563,567],{"code":76,"score":19,"supported":47,"title":552,"abstract":553,"tags":554},[264],[154,264],[541,543],{"code":168,"score":20,"supported":47,"title":556,"abstract":557,"tags":558},[173],[172],[542,132],{"code":33,"score":13,"supported":47,"title":560,"abstract":561,"tags":562},[],[50,423,165],[28],{"code":141,"score":113,"supported":47,"title":564,"abstract":565,"tags":566},[],[159,142],[],{"code":202,"score":54,"supported":47,"title":568,"abstract":569,"tags":571},[],[570],"农业规划",[],[573,574],"MODIS GPM 干旱指数","德黑兰 干旱监测 遥感","MODISGPM干旱指数-4030","10.1016\u002Fj.jastp.2026.106987",{"doi":576,"openalex_id":578,"authors":579,"venue":531,"cited_by_count":101,"oa_url":528,"card":590,"direction":234,"ingested_from":110},"W7215092640",[580,583,585,587],{"name":581,"orcid":582},"Hadi Siasar","https:\u002F\u002Forcid.org\u002F0000-0002-9323-4345",{"name":584,"orcid":9},"Mahboube Ebrahimi",{"name":586,"orcid":9},"Mehdi Bahrami",{"name":588,"orcid":589},"Hossein Hamidifar","https:\u002F\u002Forcid.org\u002F0000-0001-9054-0120",{"tldr":591,"method":592,"finding":593,"direction":234,"opportunity":594},"整合遥感与地面数据，在GEE上评估德黑兰2000–2022年多尺度干旱动态。","MODIS、GPM\u002FTRMM与气象数据，构建5种复合干旱指数，Mann-Kend","复合指数更一致；干旱由降水驱动转向温度驱动，蒸散需求加剧干旱。","可引入机器学习融合多源指数，提升半干旱区干旱预警的时空精度与驱动归因。","2026-10-02T23:30:24.756475Z"]