[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1903":3,"related-1903":85},{"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":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":59,"slug":62,"view_count":63,"doi":64,"paper":65,"created_at":84},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":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},12,18,16,3,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业水资源","GIS","遥感技术","地下水潜力","AHP",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":58},[38,44,51],{"code":39,"score":17,"supported":40,"title":41,"abstract":42,"tags":43},"I4",true,[27],[27],[27],{"code":45,"score":46,"supported":40,"title":47,"abstract":49,"tags":50},"I3",9,[48],"remote sensing",[],[28],{"code":52,"score":53,"supported":40,"title":54,"abstract":55,"tags":57},"H3",5,[],[56],"水资源",[26,29],"农业相关性需要复核",[60,61],"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":64,"openalex_id":66,"authors":67,"venue":10,"cited_by_count":63,"oa_url":76,"card":77,"direction":81,"ingested_from":83},"W7210268114",[68,71,74],{"name":69,"orcid":70},"Mahesh Kumar","https:\u002F\u002Forcid.org\u002F0000-0001-7583-4841",{"name":72,"orcid":73},"Pitam Singh","https:\u002F\u002Forcid.org\u002F0000-0001-9258-3132",{"name":75,"orcid":9},"Priyamvada Singh","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00716-x.pdf",{"tldr":78,"method":79,"finding":80,"direction":81,"opportunity":82},"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",{"total":86,"page":21,"page_size":86,"items":87},6,[88,178,256,334,406,478],{"id":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":10,"source_url":91,"published_at":94,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":95,"score_detail":96,"sources":102,"tags":104,"primary_topic":9,"secondary_topics":108,"classification":109,"search_phrases":143,"slug":146,"view_count":147,"doi":148,"paper":149,"created_at":177},4902,"Delineation of groundwater potential zones in Chalan Beel (inland wetland) for sustainable ecosystem in Lower Atrai River Basin NW Bangladesh","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00768-z","Groundwater plays a critical role in sustaining the ecological integrity and water security of the Chalan Beel, the largest inland wetland (5097 km2) in the Lower Atrai River Basin of northwestern Bangladesh. This study delineates groundwater potential zones (GWPZs) using an integrated Geographic Information System (GIS), Remote Sensing (RS), and Analytical Hierarchy Process (AHP) approach. Seventeen hydrogeological, topographic, climatic, and environmental thematic layers, including rainfall, soil type, soil permeability, groundwater level, aquifer depth, land use\u002Fland cover, geomorphology, drainage density, NDVI, and NDWI, were analyzed to evaluate groundwater recharge and storage potential. The AHP results indicate that rainfall (20%), soil type (16%), and soil permeability (13%) are the most influential factors controlling groundwater occurrence and recharge. The generated GWPZ map classified the study area into three categories: very high (65 km2, 1%), medium (3933 km2, 77%), and low (1099 km2, 22%) potential zones. Temporal NDVI analysis (1990–2024) revealed substantial changes in vegetation and moisture conditions, with the moderate NDVI class increasing from 45 to 67%, indicating improved vegetation cover and its strong association with groundwater recharge potential. The identified high- and moderate-potential zones provide important information for groundwater development, irrigation planning, and ecosystem conservation. The study offers a scientific basis for sustainable groundwater-dependent ecosystem (SGDE) management and supports informed decision-making for water-resource planning under increasing climatic variability and anthropogenic pressures in northwestern Bangladesh.","地下水在维持孟加拉国西北部阿特拉伊河下游流域最大内陆湿地——查兰比尔湿地（5097平方公里）的生态完整性和水安全方面发挥着关键作用。本研究采用地理信息系统（GIS）、遥感（RS）和层次分析法（AHP）相结合的综合方法，圈定地下水潜力区（GWPZs）。通过分析十七个水文地质、地形、气候和环境专题图层，包括降雨量、土壤类型、土壤渗透性、地下水位、含水层深度、土地利用\u002F土地覆盖、地貌、河网密度、归一化植被指数（NDVI）和归一化水体指数（NDWI），评估地下水补给和储存潜力。层次分析法结果表明，降雨量（20%）、土壤类型（16%）和土壤渗透性（13%）是控制地下水赋存和补给的最主要因素。生成的地下水潜力区图将研究区划分为三类：极高潜力区（65平方公里，1%）、中等潜力区（3933平方公里，77%）和低潜力区（1099平方公里，22%）。时序NDVI分析（1990—2024年）揭示了植被和湿度条件的显著变化，中等NDVI等级从45%增至67%，表明植被覆盖改善及其与地下水补给潜力的密切关联。所识别的高潜力和中等潜力区为地下水开发、灌溉规划和生态系统保护提供了重要信息。本研究为可持续地下水依赖型生态系统（SGDE）管理提供了科学依据，并为孟加拉国西北部在气候变率加剧和人为压力增大背景下的水资源规划提供了知情决策支持。","2026-10-12T00:00:00Z",67,{"impact":97,"substance":98,"depth":99,"authority":100,"freshness":97,"relevant":21,"comment":101},8,21,17,13,"该研究运用GIS、遥感和AHP方法评估孟加拉国湿地地下水潜力，方法新颖、数据详实，对农业水资源管理和生态保护有参考价值，但地域性较强，影响范围有限。",[103],{"name":10,"url":91},[105,106,27,29,107],"水资源管理","遥感监测","湿地生态",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":110},{"candidates":111,"agricultural_evidence":14,"reason":58},[112,119,125,131,138],{"code":52,"score":113,"supported":40,"title":114,"abstract":115,"tags":118},11,[],[116,56,117],"灌溉","irrigation",[29,105],{"code":39,"score":13,"supported":40,"title":120,"abstract":121,"tags":124},[],[122,27,123],"地理信息","geographic information",[27],{"code":45,"score":126,"supported":40,"title":127,"abstract":128,"tags":130},7,[],[129,48],"遥感",[106],{"code":132,"score":86,"supported":40,"title":133,"abstract":134,"tags":137},"H2",[],[135,136],"土壤","soil",[],{"code":139,"score":21,"supported":14,"title":140,"abstract":141,"tags":142},"H6",[],[],[107],[144,145],"Chalan Beel 湿地 地下水","孟加拉国 地下水潜力 遥感","ChalanBeel湿地地下水-4902",2,"10.1007\u002Fs44288-026-00768-z",{"doi":148,"openalex_id":150,"authors":151,"venue":10,"cited_by_count":63,"oa_url":171,"card":172,"direction":81,"ingested_from":83},"W7221572372",[152,154,157,160,163,165,167,169],{"name":153,"orcid":9},"Wahedul Alam",{"name":155,"orcid":156},"Iftekharul Islam","https:\u002F\u002Forcid.org\u002F0000-0002-8025-5729",{"name":158,"orcid":159},"Chowdhury Sarwar Jahan","https:\u002F\u002Forcid.org\u002F0009-0008-1316-4684",{"name":161,"orcid":162},"Md. Nahid Hassan","https:\u002F\u002Forcid.org\u002F0009-0000-9210-383X",{"name":164,"orcid":9},"Mostofa Kamal",{"name":166,"orcid":9},"Fayed Islam Tishad",{"name":168,"orcid":9},"Quamrul Hasan Mazumder",{"name":170,"orcid":9},"Md. Golam Mostafa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00768-z.pdf",{"tldr":173,"method":174,"finding":175,"direction":81,"opportunity":176},"用GIS、遥感和AHP划分孟加拉Chalan Beel湿地地下水潜力区，支持可持续生态系统管理。","集成GIS、RS与AHP，分析17个水文地质、地形、气候和环境图层。","降雨、土壤类型和渗透性最关键；高潜力区仅1%，中潜力区占77%。","可结合时序遥感与机器学习提升GWPZ动态制图精度，并耦合灌溉与生态需水决策。","2026-10-14T23:30:30.477606Z",{"id":179,"title":180,"url":181,"summary":182,"summary_zh":183,"content":9,"source_name":184,"source_url":181,"published_at":185,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":95,"score_detail":186,"sources":189,"tags":191,"primary_topic":193,"secondary_topics":198,"classification":207,"search_phrases":235,"slug":238,"view_count":63,"doi":239,"paper":240,"created_at":255},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":97,"substance":187,"depth":99,"authority":100,"freshness":46,"relevant":21,"comment":188},20,"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。",[190],{"name":184,"url":181},[129,105,27,29,192],"乌干达农业",{"code":39,"slug":194,"name":195,"path":196,"parent_code":197},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[199,203],{"code":45,"slug":200,"name":201,"path":202,"parent_code":197},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":52,"slug":117,"name":204,"path":205,"parent_code":206},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":208,"locked":14,"version":34,"method":35,"evidence":209},"classified",{"candidates":210,"agricultural_evidence":40},[211,215,220,225,229],{"code":39,"score":18,"supported":40,"title":212,"abstract":213,"tags":214},[27],[122,27,123],[27],{"code":45,"score":216,"supported":40,"title":217,"abstract":218,"tags":219},15,[48],[129,48],[129],{"code":52,"score":97,"supported":40,"title":221,"abstract":222,"tags":224},[],[56,223],"water resource",[29,105],{"code":132,"score":86,"supported":40,"title":226,"abstract":227,"tags":228},[],[135,136],[],{"code":230,"score":20,"supported":40,"title":231,"abstract":232,"tags":234},"H7",[],[233],"干旱",[],[236,237],"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":239,"openalex_id":241,"authors":242,"venue":184,"cited_by_count":63,"oa_url":181,"card":250,"direction":81,"ingested_from":83},"W7221339030",[243,246,248],{"name":244,"orcid":245},"Ahmed Abdirizak Dirie","https:\u002F\u002Forcid.org\u002F0009-0002-8109-0724",{"name":247,"orcid":9},"Abdulkadir Ahmed Mohamed",{"name":249,"orcid":9},"Ambiga Kannapiran",{"tldr":251,"method":252,"finding":253,"direction":81,"opportunity":254},"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":257,"title":258,"url":259,"summary":260,"summary_zh":261,"content":9,"source_name":262,"source_url":259,"published_at":263,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":264,"score_detail":265,"sources":267,"tags":269,"primary_topic":272,"secondary_topics":273,"classification":276,"search_phrases":299,"slug":302,"view_count":53,"doi":303,"paper":304,"created_at":333},4085,"Seasonal Snow Water Resources and Spring Runoff Harvesting Potential in the North Kazakhstan Region: An Integrated Remote Sensing and GIS-Based Multi-Criteria Assessment","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fearth7050163","Seasonal snow is a critical water resource in Northern Kazakhstan, where spring snowmelt dominates surface runoff and agricultural water supply. However, traditional rainwater harvesting frameworks often neglect snow water equivalent (SWE), limiting their applicability in cold, snow-dominated steppe environments. This study develops an integrated remote sensing and GIS-based approach to identify potential sites for spring runoff harvesting. Using Sentinel-2 imagery, snow cover fraction (SCF) was derived and combined with a digital elevation model (DEM) to estimate snow depth through a quadratic regression model, validated against in situ data from 23 meteorological stations. Snow water equivalent was then calculated by incorporating field-measured snow density. Alongside SWE, six additional parameters—slope, drainage density, land use\u002Fland cover (LULC), and soil texture (sand, silt, clay)—were integrated within an Analytical Hierarchy Process (AHP) multi-criteria decision analysis. Results show that SWE, drainage density, and LULC collectively contributed 75% of the weight in site suitability, underscoring their dominant role in snowmelt-driven hydrology. The final suitability map indicates that 28.03% of the region falls into the “Very High” class, concentrated in central and northwestern districts. Developing just 30% of these potential zones could yield approximately 4.2 × 108 m3 of usable meltwater, supporting up to 105,000 ha under full irrigation or 280,000 ha under deficit irrigation. The study demonstrates that integrating high-resolution SWE with MCDA provides a scalable framework for enhancing agricultural resilience, mitigating floods, and strengthening water security in cold, semi-arid landscapes.","季节性积雪是哈萨克斯坦北部的重要水资源，春季融雪主导着地表径流和农业供水。然而，传统的雨水收集框架往往忽视雪水当量（SWE），限制了其在寒冷、以积雪为主的草原环境中的适用性。本研究开发了一种集成遥感和GIS的方法，用于识别春季径流收集的潜在场址。利用Sentinel-2影像提取积雪覆盖率（SCF），并结合数字高程模型（DEM）通过二次回归模型估算雪深，利用23个气象站的实地数据进行验证。随后，结合实地测量的雪密度计算雪水当量。除SWE外，还将坡度、河网密度、土地利用\u002F土地覆盖（LULC）以及土壤质地（砂、粉砂、黏土）等六个附加参数纳入层次分析法（AHP）多准则决策分析。结果表明，SWE、河网密度和LULC在场地适宜性评价中合计贡献了75%的权重，凸显了它们在融雪驱动水文中的主导作用。最终适宜性图显示，该区域28.03%的面积属于“极高”等级，集中在中部和西北部地区。仅开发这些潜在区域的30%，即可产生约4.2 × 10⁸ m³的可用融水，可支持多达105,000公顷的充分灌溉或280,000公顷的亏缺灌溉。本研究表明，将高分辨率SWE与多准则决策分析相结合，为增强农业韧性、减轻洪水和加强寒冷半干旱地区的水安全提供了一个可扩展的框架。","Earth","2026-10-02T00:00:00Z",77,{"impact":19,"substance":98,"depth":18,"authority":100,"freshness":46,"relevant":21,"comment":266},"该研究将遥感与GIS多准则评估结合，量化了北哈萨克斯坦融雪水资源与灌溉潜力，方法新颖、数据扎实，对寒区农业水资源管理有参考价值，但地域性较强，属细分领域进展。",[268],{"name":262,"url":259},[26,270,129,27,271],"哈萨克斯坦","融雪灌溉",{"code":45,"slug":200,"name":201,"path":202,"parent_code":197},[274,275],{"code":39,"slug":194,"name":195,"path":196,"parent_code":197},{"code":52,"slug":117,"name":204,"path":205,"parent_code":206},{"status":208,"locked":14,"version":34,"method":35,"evidence":277},{"candidates":278,"agricultural_evidence":40},[279,283,287,291,295],{"code":45,"score":216,"supported":40,"title":280,"abstract":281,"tags":282},[48],[129,48],[129],{"code":39,"score":17,"supported":40,"title":284,"abstract":285,"tags":286},[27],[27],[27],{"code":52,"score":13,"supported":40,"title":288,"abstract":289,"tags":290},[],[116,56,117,223],[26],{"code":132,"score":86,"supported":40,"title":292,"abstract":293,"tags":294},[],[135,136],[],{"code":230,"score":20,"supported":40,"title":296,"abstract":297,"tags":298},[],[233],[],[300,301],"北哈萨克斯坦 融雪 灌溉潜力","Sentinel-2 雪水当量 遥感","北哈萨克斯坦融雪灌溉潜力-4085","10.3390\u002Fearth7050163",{"doi":303,"openalex_id":305,"authors":306,"venue":262,"cited_by_count":63,"oa_url":259,"card":328,"direction":81,"ingested_from":83},"W7216430083",[307,310,313,315,317,319,322,325],{"name":308,"orcid":309},"Zhanassyl Teleubay","https:\u002F\u002Forcid.org\u002F0000-0003-4783-5489",{"name":311,"orcid":312},"Erkin Ussalinov","https:\u002F\u002Forcid.org\u002F0000-0003-1907-9532",{"name":314,"orcid":9},"Laura Ryskulbekova",{"name":316,"orcid":9},"Asset Arystanov",{"name":318,"orcid":9},"Ibragim Seitassanov",{"name":320,"orcid":321},"Улжан Онласын","https:\u002F\u002Forcid.org\u002F0000-0001-5789-5464",{"name":323,"orcid":324},"Nuray Kutymova","https:\u002F\u002Forcid.org\u002F0009-0000-7214-1708",{"name":326,"orcid":327},"Farabi Yermekov","https:\u002F\u002Forcid.org\u002F0000-0002-0290-3866",{"tldr":329,"method":330,"finding":331,"direction":81,"opportunity":332},"结合遥感与GIS评估哈萨克斯坦北部季节性雪水资源及春季径流收集潜力。","Sentinel-2与DEM估算雪深和SWE，结合AHP多准则决策分析选址。","SWE、河网密度和土地利用贡献75%权重，28%区域为极高适宜区。","可将SWE驱动的选址框架推广至其他寒旱区，并耦合气候情景与灌溉效率优化。","2026-10-03T23:30:32.427699Z",{"id":335,"title":336,"url":337,"summary":338,"summary_zh":339,"content":9,"source_name":340,"source_url":337,"published_at":341,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":342,"score_detail":343,"sources":345,"tags":347,"primary_topic":349,"secondary_topics":350,"classification":352,"search_phrases":380,"slug":383,"view_count":384,"doi":385,"paper":386,"created_at":405},4027,"Groundwater Potential Zonation of Unchehra Watershed, Central India using AHP, Remote Sensing, and GIS Techniques","https:\u002F\u002Fdoi.org\u002F10.17491\u002Fjgsi.2026.174637","ABSTRACT Groundwater is the primary source of domestic and agricultural water in the semi-arid regions of central India. Despite receiving moderate annual rainfall, Unchehra watershed experiences seasonal water shortages, especially during summer, highlighting the need for scientific assessment of groundwater resources. This study delineates groundwater potential zones (GWPZs) in the Unchehra watershed using an integrated Remote Sensing (RS), Geographic Information System (GIS), and Analytical Hierarchy Process (AHP) approach. Seven major factors influencing groundwater occurrence lineament density, geology, land use and land cover (LULC), drainage density, geomorphology, slope and soil type were considered in the analysis. Spatial thematic layers for these parameters were prepared from satellite imagery and Digital Elevation Model (DEM) data using ArcGIS. The relative importance of each factor and its classes was determined through AHP, providing a systematic weighting scheme for groundwater potential assessment. The weighted layers were integrated to generate a groundwater potential zonation map. The resulting map classified the watershed into five groundwater potential zones: very low, low, moderate, high, and very high. The analysis revealed that 7.88% of the watershed falls under very low potential, while significant portions of the area exhibit moderate (28.07%) to very high (22.61%) groundwater potential. To assess the reliability of the generated model, validation was carried out using 41 randomly selected dug wells and Receiver Operating Characteristic (ROC) curve analysis. The near-zero Consistency Ratio (CR) confirms the reliability of the AHP weighting scheme, while the Area Under the Curve (AUC) value of 0.763 indicates good predictive accuracy of the groundwater potential model. The identified high and very high groundwater potential zones are suitable for groundwater development and artificial recharge measures such as check dams, percolation tanks, and recharge wells. The integrated RS-GIS-AHP framework developed in this study provides a reliable decision-support tool for groundwater exploration, recharge planning, and sustainable groundwater management in Unchehra watershed and similar hydrogeological settings.","摘要 地下水是印度中部半干旱地区生活用水和农业用水的主要来源。尽管Unchehra流域年降水量适中，但仍面临季节性缺水问题，尤其是在夏季，这凸显了对地下水资源进行科学评估的必要性。本研究采用遥感（RS）、地理信息系统（GIS）和层次分析法（AHP）相结合的方法，对Unchehra流域的地下水潜力区（GWPZs）进行了划分。分析中考虑了影响地下水赋存的七个主要因素：线性构造密度、地质、土地利用与土地覆盖（LULC）、河网密度、地貌、坡度和土壤类型。利用ArcGIS从卫星影像和数字高程模型（DEM）数据中制备了这些参数的空间专题图层。通过AHP确定各因素及其类别的相对重要性，为地下水潜力评估提供了系统化的权重方案。将加权图层进行叠加整合，生成了地下水潜力分区图。所得图件将流域划分为五个地下水潜力区：极低、低、中等、高和极高。分析表明，流域面积的7.88%属于极低潜力区，而相当部分区域表现出中等（28.07%）至极高（22.61%）的地下水潜力。为评估所生成模型的可靠性，利用41口随机选取的民井和受试者工作特征（ROC）曲线分析进行了验证。接近零的一致性比率（CR）证实了AHP权重方案的可靠性，而曲线下面积（AUC）值为0.763表明地下水潜力模型具有良好的预测精度。所识别的高和极高地下水潜力区适宜进行地下水开发和人工补给措施，如拦水坝、渗滤池和回灌井。本研究开发的RS-GIS-AHP集成框架为Unchehra流域及类似水文地质条件下的地下水勘探、补给规划和可持续地下水管理提供了可靠的决策支持工具。","Journal of the Geological Society of India","2026-10-01T00:00:00Z",66,{"impact":97,"substance":187,"depth":99,"authority":100,"freshness":97,"relevant":21,"comment":344},"方法扎实、验证可靠的区域地下水潜力评估论文，对农业水资源管理有参考价值，但属印度区域研究，公共影响有限。",[346],{"name":340,"url":337},[129,105,27,348,29],"印度农业",{"code":39,"slug":194,"name":195,"path":196,"parent_code":197},[351],{"code":45,"slug":200,"name":201,"path":202,"parent_code":197},{"status":208,"locked":14,"version":34,"method":35,"evidence":353},{"candidates":354,"agricultural_evidence":40},[355,359,363,367,371,375],{"code":39,"score":18,"supported":40,"title":356,"abstract":357,"tags":358},[27],[122,27,123],[27],{"code":45,"score":216,"supported":40,"title":360,"abstract":361,"tags":362},[48],[129,48],[129],{"code":132,"score":86,"supported":40,"title":364,"abstract":365,"tags":366},[],[135,136],[],{"code":52,"score":53,"supported":40,"title":368,"abstract":369,"tags":370},[],[56],[29,105],{"code":230,"score":20,"supported":40,"title":372,"abstract":373,"tags":374},[],[233],[],{"code":376,"score":21,"supported":14,"title":377,"abstract":378,"tags":379},"J3",[],[],[348],[381,382],"地下水潜力 水资源管理 印度农业 遥感","地下水潜力 水资源管理","地下水潜力水资源管理印度农业遥感-4027",4,"10.17491\u002Fjgsi.2026.174637",{"doi":385,"openalex_id":387,"authors":388,"venue":340,"cited_by_count":63,"oa_url":9,"card":400,"direction":81,"ingested_from":83},"W7215068088",[389,391,393,395,397],{"name":390,"orcid":9},"Rabindra Nath Tiwari",{"name":392,"orcid":9},"Brahmanand Sharma",{"name":394,"orcid":9},"Sarvesh Kumar Patel",{"name":396,"orcid":9},"Aditya Singh Baghel",{"name":398,"orcid":399},"Ashish Kumar Mishra","https:\u002F\u002Forcid.org\u002F0000-0002-9953-4576",{"tldr":401,"method":402,"finding":403,"direction":81,"opportunity":404},"用RS、GIS与AHP集成方法划分印度Unchehra流域地下水潜力区并验证精度。","基于遥感与DEM提取7个因子，AHP加权叠加，41口井与ROC验证。","流域分五级潜力区，高与极高潜力占22.61%，模型AUC达0.763，精度良好。","可将该框架与实时灌溉需水、作物布局耦合，支撑半干旱区精准补灌与地下水回补选址。","2026-10-02T23:30:24.566714Z",{"id":407,"title":408,"url":409,"summary":410,"summary_zh":411,"content":9,"source_name":412,"source_url":409,"published_at":413,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":414,"score_detail":415,"sources":417,"tags":419,"primary_topic":422,"secondary_topics":423,"classification":428,"search_phrases":455,"slug":458,"view_count":147,"doi":459,"paper":460,"created_at":477},1768,"Remote Sensing and GIS-Based Spatial Planning of Soil and Water Conservation Measures in a Semi-Arid Watershed Maliwadgaon of Maharashtra, India","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fijecc\u002F2026\u002Fv16i95662","Site-specific planning of water harvesting and soil and water conservation (SWC) measures is important for improving water availability and watershed resilience in semi-arid regions. This study aimed to identify and prioritise suitable locations for SWC structures in the 43 km² Maliwadgaon watershed of Chhatrapati Sambhajinagar district, Maharashtra, India, using an integrated remote sensing (RS) and Geographic Information System (GIS) approach. A 30 m Shuttle Radar Topography Mission (SRTM) Digital Elevation Model and Landsat-8 imagery were used to derive terrain, drainage, land use\u002Fland cover (LULC), and vegetation characteristics. Elevation, slope, drainage density, stream order, dissection index, LULC, and normalized difference vegetation index (NDVI) were integrated through multi-criteria evaluation (MCE) for site-suitability assessment. The watershed has an elevation range of approximately 509–591 m and a dendritic, fourth-order drainage network with a drainage density of 0.991 km\u002Fkm². The MCE identified 40 potential conservation structures: 13 farm ponds, 13 cement nala bunds, 5 percolation tanks, 4 underground barriers, and 5 gully plugs. The proposed locations provide a spatial basis for runoff interception, erosion control, water storage, groundwater recharge, and agricultural water management. The findings demonstrate the practical utility of RS–GIS-based MCE as a decision-support approach for prioritising site-specific SWC interventions in a semi-arid watershed.","在半干旱地区，水资源收集及水土保持（SWC）措施的定点规划对于改善水资源可利用性和增强流域韧性至关重要。本研究旨在利用遥感（RS）与地理信息系统（GIS）集成方法，识别并优先确定印度马哈拉施特拉邦恰特拉帕蒂·桑巴吉纳加尔区Maliwadgaon流域（面积43平方公里）内适宜建设水土保持设施的位置。研究采用30米分辨率的航天飞机雷达地形任务（SRTM）数字高程模型和Landsat-8影像，提取地形、水系、土地利用\u002F土地覆盖（LULC）及植被特征。通过多准则评价（MCE）整合高程、坡度、排水密度、河流等级、切割指数、土地利用\u002F土地覆盖及归一化差异植被指数（NDVI），进行选址适宜性评估。该流域海拔范围约为509–591米，水系呈树枝状，为四级排水网络，排水密度为0.991公里\u002F平方公里。多准则评价识别出40处潜在的水土保持设施：13座田间池塘、13座水泥沟壑拦水坝、5座渗滤池、4座地下屏障及5处冲沟堵截设施。所提出的选址为径流拦截、侵蚀控制、蓄水、地下水补给及农业水资源管理提供了空间依据。研究结果表明，基于遥感与地理信息系统的多准则评价作为一种决策支持方法，在半干旱流域优先确定定点水土保持干预措施方面具有实际应用价值。","International Journal of Environment and Climate Change","2026-09-05T00:00:00Z",60,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":147,"relevant":21,"comment":416},"研究利用遥感和GIS技术在半干旱流域进行水土保持措施选址，方法实用，但时效性较低。",[418],{"name":412,"url":409},[26,129,27,420,421],"水土保持","半干旱区",{"code":39,"slug":194,"name":195,"path":196,"parent_code":197},[424,425],{"code":45,"slug":200,"name":201,"path":202,"parent_code":197},{"code":132,"slug":136,"name":426,"path":427,"parent_code":206},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":208,"locked":14,"version":34,"method":35,"evidence":429},{"candidates":430,"agricultural_evidence":40},[431,435,439,443,447,451],{"code":39,"score":18,"supported":40,"title":432,"abstract":433,"tags":434},[27],[122,27,123],[27],{"code":45,"score":216,"supported":40,"title":436,"abstract":437,"tags":438},[48],[129,48],[129],{"code":132,"score":113,"supported":40,"title":440,"abstract":441,"tags":442},[136],[136],[],{"code":52,"score":384,"supported":40,"title":444,"abstract":445,"tags":446},[],[56],[26],{"code":139,"score":384,"supported":40,"title":448,"abstract":449,"tags":450},[],[420],[420],{"code":230,"score":20,"supported":40,"title":452,"abstract":453,"tags":454},[],[233],[],[456,457],"农业水资源 半干旱区 水土保持 遥感","农业水资源 半干旱区","农业水资源半干旱区水土保持遥感-1768","10.9734\u002Fijecc\u002F2026\u002Fv16i95662",{"doi":459,"openalex_id":461,"authors":462,"venue":412,"cited_by_count":63,"oa_url":409,"card":472,"direction":81,"ingested_from":83},"W7208812908",[463,466,468,470],{"name":464,"orcid":465},"Prasannajit D. Gangurde","https:\u002F\u002Forcid.org\u002F0009-0002-9266-8931",{"name":467,"orcid":9},"Sanjay N. Pawar",{"name":469,"orcid":9},"M. S. Pendke",{"name":471,"orcid":9},"Anilkumar M. Kamble",{"tldr":473,"method":474,"finding":475,"direction":81,"opportunity":476},"利用遥感和GIS对半干旱流域进行水土保持措施的空间规划与选址。","集成SRTM DEM、Landsat-8影像，通过多准则评价进行选址。","识别出40个潜在保护结构，包括池塘、堤坝等，用于水资源管理。","可扩展至其他半干旱流域，结合高分辨率影像和机器学习优化选址精度。","2026-09-06T23:30:27.290464Z",{"id":479,"title":480,"url":481,"summary":482,"summary_zh":483,"content":9,"source_name":484,"source_url":481,"published_at":485,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":486,"score_detail":487,"sources":490,"tags":492,"primary_topic":495,"secondary_topics":496,"classification":497,"search_phrases":520,"slug":523,"view_count":63,"doi":524,"paper":525,"created_at":539},5572,"Potential erosion risk assessment of Kanak stream basin (Sivas, Sarkisla) with the ICONA model","https:\u002F\u002Fdoi.org\u002F10.51753\u002Fflsrt.1828829","The rapid development of technology following the Industrial Revolution has increased human domination over nature. Erosion, which plays a critical role in the process of natural shaping of the earth, can accelerate over time because of improper utilization of the natural environment by humans. The main objective of this study is to determine the erosion susceptibility of the Kanak Creek Basin, one of the sub-basins in the upper reaches of the Kizilirmak River, using the ICONA model, whose main parameters are slope, lithology, land use and vegetation cover, and Geographic Information Systems (GIS) and Remote Sensing techniques, and to list the measures that can be taken against erosion. According to the results of the ICONA model potential erosion level map, 48% of the study area has low erosion susceptibility. These areas largely correspond to the vicinity of Sama Mountain, which has volcanic rocks resistant to erosion, and the base of Sarkisla Plain where the slope is very low. The plain floor is largely covered with agricultural lands. The expansion of irrigated agriculture in this region is one of the main measures that can be taken against erosion. Erosion susceptibility increases around Turna Mountain on the northern border of the basin and Cal Mountain in the south due to both the increase in slope and the lack of resistance of the rocks in the region to erosion, and corresponds to 30% of the study area. In 22% of the basin, susceptibility to erosion is at a medium level. Most of these areas consist of natural meadows and pastures. It is essential to take measures against overgrazing in these areas to prevent the complete loss of the already sparse vegetation cover. Planning land use in the basin in a sustainable manner, arranging fields and layers perpendicular to the slope, expanding irrigated agriculture, and preventing overgrazing are of vital importance in terms of combating soil erosion.","工业革命以来技术的迅猛发展增强了人类对自然的支配能力。侵蚀在地球自然塑造过程中起着关键作用，而人类对自然环境的不当利用会加速侵蚀进程。本研究的主要目标是利用ICONA模型（其主要参数为坡度、岩性、土地利用和植被覆盖）以及地理信息系统（GIS）和遥感技术，确定克孜勒河上游子流域之一卡纳克溪流域的侵蚀敏感性，并列出可采取的侵蚀防治措施。根据ICONA模型潜在侵蚀等级图的结果，研究区48%的区域侵蚀敏感性较低。这些区域主要对应于具有抗侵蚀火山岩的萨马山附近以及坡度极低的萨尔基什拉平原底部。平原底部大部分为农业用地覆盖。在该地区扩大灌溉农业是防治侵蚀的主要措施之一。在流域北部边界的图尔纳山和南部的恰尔山周围，由于坡度增大以及该地区岩石抗侵蚀能力不足，侵蚀敏感性增加，占研究区面积的30%。流域22%的区域侵蚀敏感性为中等水平。这些区域大部分为天然草甸和牧场。在这些地区采取措施防止过度放牧至关重要，以避免本已稀疏的植被覆盖完全丧失。以可持续方式规划流域土地利用、沿垂直于坡向布置田块和土层、扩大灌溉农业以及防止过度放牧，对防治土壤侵蚀具有至关重要的意义。","Frontiers in Life Sciences and Related Technologies","2026-10-21T00:00:00Z",61,{"impact":97,"substance":18,"depth":488,"authority":17,"freshness":46,"relevant":21,"comment":489},14,"该研究以ICONA模型结合GIS与遥感评估土耳其小流域侵蚀风险，方法规范、结论具体，但属区域性案例，公共影响有限，可作为专业参考而非每日精选。",[491],{"name":484,"url":481},[129,493,494,27,420],"土地利用","土壤侵蚀",{"code":39,"slug":194,"name":195,"path":196,"parent_code":197},[],{"status":208,"locked":14,"version":34,"method":35,"evidence":498},{"candidates":499,"agricultural_evidence":40},[500,504,508,512,516],{"code":39,"score":13,"supported":40,"title":501,"abstract":502,"tags":503},[],[122,27,123],[27],{"code":45,"score":126,"supported":40,"title":505,"abstract":506,"tags":507},[],[129,48],[129],{"code":132,"score":86,"supported":40,"title":509,"abstract":510,"tags":511},[],[135,136],[],{"code":52,"score":20,"supported":40,"title":513,"abstract":514,"tags":515},[],[116],[],{"code":139,"score":147,"supported":14,"title":517,"abstract":518,"tags":519},[],[],[493,420],[521,522],"ICONA 模型 侵蚀风险","Kanak 流域 侵蚀","ICONA模型侵蚀风险-5572","10.51753\u002Fflsrt.1828829",{"doi":524,"openalex_id":526,"authors":527,"venue":484,"cited_by_count":63,"oa_url":9,"card":533,"direction":81,"ingested_from":83},"W7223117733",[528,530],{"name":529,"orcid":9},"MERİÇ KURT",{"name":531,"orcid":532},"Celal ŞENOL","https:\u002F\u002Forcid.org\u002F0000-0003-0857-866X",{"tldr":534,"method":535,"finding":536,"direction":537,"opportunity":538},"用ICONA模型评估土耳其Kanak流域潜在侵蚀风险并列出防治措施。","ICONA模型结合GIS与遥感，输入坡度、岩性、土地利用与植被覆盖。","48%区域低侵蚀风险，30%高敏感，22%中等，主因坡度与岩性。","农业绿色发展与碳","可将ICONA与遥感时序数据结合，动态监测流域侵蚀并评估农业管理措施效果。","2026-10-22T11:20:39.475037Z"]