[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-AHP":3},{"name":4,"kind":5,"tokens":6,"total":7,"page":7,"page_size":8,"items":9},"AHP","tag",[4],1,100,[10],{"id":11,"title":12,"url":13,"summary":14,"summary_zh":15,"content":16,"source_name":17,"source_url":13,"published_at":18,"category":19,"cover_url":16,"hotness":20,"is_selected":21,"score":22,"score_detail":23,"sources":29,"tags":31,"primary_topic":16,"secondary_topics":36,"classification":37,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":89},1903,"Integration of GIS, remote sensing and AHP technique for delineation of groundwater potential zones in Mahoba district Uttar Pradesh, India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00716-x","An essential component of life and the ecology is groundwater. This Precious resource is under extreme strain in India due to man-made and natural caused factors. Determining groundwater potential zones (GWPZs) is becoming a more crucial undertaking due to the world’s increasing demand for freshwater. In the current study, the groundwater potential zones of the Mahoba district are identified using geospatial and Analytical Hierarchy Process (AHP) technique. Mahoba district falls in the state of Uttar Pradesh, India which is a very water scare region. The influencing factors that affects the potentiality of the research region i.e. lithology (LI), geomorphology (GM), rainfall, slope, land use and land cover (LULC), lineament density and drainage density taken under the consideration to evaluate the groundwater potential zones. The GIS software was used to create these influencing factors with the satellite images, which is acquired from many websites and organizations. The GWPZs maps were created by superimposing all of the thematic layers on top of one another after the appropriate weights were assigned using AHP technique. The delineated Groundwater potential zones (GWPZs) were divided into several categories, including very high, high, moderate, low, and very low GWPZs. The moderate form of GWPZ occupies the highest area within the research region. Well discharge data was used to validate the obtained GWPZs. The validation shows the 80% accuracy of the model. The proposed research gives the first insights of groundwater exploration.","地下水是生命和生态的重要组成部分。在印度，由于人为和自然因素，这一宝贵资源正承受着极大的压力。鉴于全球对淡水需求的日益增长，确定地下水潜力区（GWPZs）已成为一项日益关键的任务。本研究利用地理空间技术与层次分析法（AHP），识别了马霍巴地区的地下水潜力区。马霍巴地区位于印度北方邦，是一个水资源极度匮乏的区域。研究考虑了影响该区域潜力的因素，包括岩性（LI）、地貌（GM）、降雨量、坡度、土地利用与土地覆盖（LULC）、线性体密度和排水密度，以评估地下水潜力区。利用GIS软件，结合从多个网站和组织获取的卫星图像，生成了这些影响因素图层。通过AHP技术赋予各专题图层适当权重后，将所有图层叠加，生成了地下水潜力区（GWPZs）图。划分出的地下水潜力区被分为多个等级，包括极高、高、中、低和极低潜力区。其中，中等潜力的GWPZ在研究区域内占据面积最大。利用井涌水量数据对所获得的GWPZs进行了验证，结果显示模型精度达到80%。本研究为地下水勘探提供了初步见解。",null,"Discover Geoscience","2026-09-06T00:00:00Z","论文",10,false,59,{"impact":24,"substance":25,"depth":26,"authority":20,"freshness":27,"relevant":7,"comment":28},12,18,16,3,"研究结合GIS、遥感和AHP评估印度缺水地区地下水潜力，方法成熟，对农业水资源管理有参考价值，但区域局限且时效性低。",[30],{"name":17,"url":13},[32,33,34,35,4],"农业水资源","GIS","遥感技术","地下水潜力",[],{"status":38,"locked":21,"version":39,"method":40,"evidence":41},"needs_review","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":21,"reason":63},[43,49,56],{"code":44,"score":24,"supported":45,"title":46,"abstract":47,"tags":48},"I4",true,[33],[33],[33],{"code":50,"score":51,"supported":45,"title":52,"abstract":54,"tags":55},"I3",9,[53],"remote sensing",[],[34],{"code":57,"score":58,"supported":45,"title":59,"abstract":60,"tags":62},"H3",5,[],[61],"水资源",[32,35],"农业相关性需要复核",[65,66],"农业水资源 地下水潜力 遥感技术 AHP","农业水资源 地下水潜力","农业水资源地下水潜力遥感技术AHP-1903",0,"10.1007\u002Fs44288-026-00716-x",{"doi":69,"openalex_id":71,"authors":72,"venue":17,"cited_by_count":68,"oa_url":81,"card":82,"direction":86,"ingested_from":88},"W7210268114",[73,76,79],{"name":74,"orcid":75},"Mahesh Kumar","https:\u002F\u002Forcid.org\u002F0000-0001-7583-4841",{"name":77,"orcid":78},"Pitam Singh","https:\u002F\u002Forcid.org\u002F0000-0001-9258-3132",{"name":80,"orcid":16},"Priyamvada Singh","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00716-x.pdf",{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"利用GIS、遥感和AHP技术绘制印度Mahoba地区地下水潜力区，并验证模型精度。","结合GIS、遥感与AHP，叠加岩性、地貌、降雨等七类因子图层。","中等潜力区面积最大，模型验证精度达80%。","农业遥感与作物表型","可扩展至农业灌溉规划，结合实时水文数据与机器学习提升预测精度。","openalex","2026-09-08T23:30:19.133523Z"]