[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4899":3,"related-4899":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":61,"slug":64,"view_count":65,"doi":66,"paper":67,"created_at":84},4899,"Groundwater potential zoning in the Grande River Basin: A semi-arid region of Northeast Brazil","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10040-026-03188-y","Abstract Seasonal water scarcity in western Bahia, Brazil, has led to increased dependence on groundwater resources; however, basin-scale hydrogeological measurements remain insufficient for preliminary assessments. This study presents a geographic information system-based groundwater potential map for the Grande River Hydrographic Basin (GRHB), where groundwater potential is defined as a relative index reflecting conditions favorable for recharge and subsurface storage, rather than a direct measure of aquifer productivity. Ten hydrogeological and terrain proxy layers, derived from existing datasets and remote sensing, were standardized and integrated using an analytic hierarchy process weighting scheme and a weighted linear combination. The resulting index was classified into five groundwater potential categories. The very high- and high-potential classes account for 48.08 and 25.41% of the basin, respectively, while the moderate class accounts for 19.90%, and the low- and very low-potential classes together comprise 6.59%. Spatial association with available well locations was evaluated using receiver operating characteristic analysis and the area under the curve, which yielded a value of 0.821, indicating that wells are more frequently located in areas with higher index values. Additionally, a groundwater abstraction-pressure proxy, derived from wells with reported daily abstraction volumes, was used to identify potential stress areas where high favorability coincides with concentrated abstraction activities. These outputs serve as a first-order screening tool to guide field verification, monitoring, and targeted data acquisition across the basin.","摘要 巴西巴伊亚州西部的季节性缺水导致对地下水资源的依赖日益增加；然而，流域尺度的水文地质测量仍不足以支持初步评估。本研究提出了大河流域水文流域（GRHB）基于地理信息系统的地下水潜力图，其中地下水潜力被定义为一个相对指数，反映有利于补给和地下储存的条件，而非含水层生产能力的直接度量。从现有数据集和遥感数据中提取的十个水文地质和地形代理图层，采用层次分析法加权方案和加权线性组合进行了标准化和集成。所得指数被划分为五个地下水潜力类别。极高和高潜力类别分别占流域的48.08%和25.41%，中等类别占19.90%，低和极低潜力类别合计占6.59%。利用受试者工作特征分析和曲线下面积评估了与现有井位的空间关联性，所得值为0.821，表明水井更频繁地分布于指数值较高的区域。此外，利用从报告日开采量的水井中得出的地下水开采压力代理指标，识别了高适宜性与开采活动集中相重合的潜在压力区域。这些成果可作为初步筛选工具，用于指导全流域的实地验证、监测和针对性数据采集。",null,"Hydrogeology Journal","2026-10-12T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,22,18,14,1,"方法扎实、结论可靠的水文地质论文，但属巴西区域研究，与国内三农信息化关联较弱，公共价值有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"遥感","水资源管理","GIS","地下水","巴西农业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":60},[38,46,53],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":45},"I3",7,true,[],[26,44],"remote sensing",[26],{"code":47,"score":40,"supported":41,"title":48,"abstract":49,"tags":52},"I4",[],[50,51],"地理信息","geographic information",[28],{"code":54,"score":55,"supported":41,"title":56,"abstract":57,"tags":59},"H3",5,[],[58],"水资源",[29,27],"农业相关性需要复核",[62,63],"巴西 Bahia 地下水潜力","水资源管理 巴西农业 地下水 遥感","巴西Bahia地下水潜力-4899",0,"10.1007\u002Fs10040-026-03188-y",{"doi":66,"openalex_id":68,"authors":69,"venue":10,"cited_by_count":65,"oa_url":76,"card":77,"direction":81,"ingested_from":83},"W7221527317",[70,73],{"name":71,"orcid":72},"Thyago Anthony Soares Lima","https:\u002F\u002Forcid.org\u002F0000-0002-4607-2953",{"name":74,"orcid":75},"Paulo de Tarso Amorim Castro","https:\u002F\u002Forcid.org\u002F0000-0002-7667-0161","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs10040-026-03188-y.pdf",{"tldr":78,"method":79,"finding":80,"direction":81,"opportunity":82},"基于GIS与AHP为巴西Grande河流域绘制地下水潜力分区图，并识别开采压力区。","GIS多图层叠加、AHP加权线性组合、ROC\u002FAUC验证，使用遥感与现有井数据。","高与极高潜力区占流域73.49%，AUC达0.821，井位与高潜力区空间吻合。","农业遥感与作物表型","可结合遥感蒸散发与作物需水，将地下水潜力图与灌溉用水动态耦合，评估农业开采可持续性。","openalex","2026-10-14T23:30:28.775390Z",{"total":86,"page":21,"page_size":86,"items":87},6,[88,177,256,328,384,448],{"id":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":94,"source_url":91,"published_at":95,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":97,"sources":104,"tags":106,"primary_topic":9,"secondary_topics":109,"classification":110,"search_phrases":142,"slug":145,"view_count":65,"doi":146,"paper":147,"created_at":176},5088,"Spatial Analysis of the Potential for Irrigation Development in the Ertis Water Management Basin Using Multi-Criteria Analysis and Remote Sensing","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fearth7050171","Sustainable expansion of irrigated agriculture requires the identification of areas with favorable biophysical conditions while also considering water-resource and infrastructure constraints. This study assessed the biophysical land suitability for potential irrigation development within the Ertis Water Management Basin (WMB), Kazakhstan, using an integrated remote sensing, geographic information system (GIS), and Analytic Hierarchy Process (AHP) framework. Four criteria—slope, normalized difference vegetation index (NDVI), land use\u002Fland cover (LULC), and soil texture—were standardized into five suitability classes and integrated using an AHP-based weighted overlay. The derived weights were 0.51 for slope, 0.26 for NDVI, 0.14 for LULC, and 0.09 for soil texture, with a consistency ratio of approximately 1%. The resulting assessment classified approximately 10% of the basin as highly suitable (S1), 43% as suitable (S2), 18% as moderately suitable (S3), 2% as marginally suitable (S4), and 27% as not suitable (NS), indicating that approximately 53% of the basin falls within the two highest suitability classes. Regional analysis showed that substantial shares of suitable land are concentrated in Pavlodar and Abay Regions, while suitable areas were identified across a wide range of distances from the river network. These findings indicate considerable biophysical potential for irrigation development across the Ertis WMB, with suitable areas occurring both near and farther from the river network. The resulting suitability map provides a spatial basis for identifying areas where more detailed assessments of water availability, irrigation infrastructure, and development feasibility can subsequently be undertaken.","灌溉农业的可持续扩展需要识别具有有利生物物理条件的区域，同时还需考虑水资源和基础设施约束。本研究采用遥感、地理信息系统（GIS）和层次分析法（AHP）集成框架，评估了哈萨克斯坦额尔齐斯水资源管理流域（WMB）内潜在灌溉开发的生物物理土地适宜性。将坡度、归一化植被指数（NDVI）、土地利用\u002F土地覆盖（LULC）和土壤质地四项指标标准化为五个适宜性等级，并利用基于AHP的加权叠加进行集成。所得权重为：坡度0.51、NDVI 0.26、LULC 0.14、土壤质地0.09，一致性比率约为1%。评估结果将流域约10%的区域划为高度适宜（S1），43%为适宜（S2），18%为中等适宜（S3），2%为勉强适宜（S4），27%为不适宜（NS），表明流域约53%的面积属于两个最高适宜性等级。区域分析显示，适宜土地中有相当比例集中在巴甫洛达尔州和阿拜州，同时在距河网不同距离范围内均识别出适宜区域。这些结果表明，额尔齐斯水资源管理流域内灌溉开发具有可观的生物物理潜力，适宜区域既分布于河网附近，也分布于距河网较远的地方。所生成的适宜性图为后续开展更详细的水资源可利用性、灌溉基础设施和开发可行性评估提供了空间依据。","Earth","2026-10-15T00:00:00Z",71,{"impact":98,"substance":99,"depth":100,"authority":101,"freshness":102,"relevant":21,"comment":103},12,20,17,13,9,"基于遥感、GIS与AHP的灌溉潜力空间评估，方法规范、数据翔实，对农业水资源规划有参考价值，但属区域案例研究，公共影响有限。",[105],{"name":94,"url":91},[26,27,28,107,108],"土地适宜性","灌溉潜力",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":111},{"candidates":112,"agricultural_evidence":41,"reason":141},[113,119,124,129,136],{"code":54,"score":19,"supported":41,"title":114,"abstract":116,"tags":118},[115],"irrigation",[117,58,115],"灌溉",[27],{"code":47,"score":19,"supported":41,"title":120,"abstract":122,"tags":123},[121],"spatial analysis",[50,28,51],[28],{"code":39,"score":125,"supported":41,"title":126,"abstract":127,"tags":128},15,[44],[26,44],[26],{"code":130,"score":86,"supported":41,"title":131,"abstract":132,"tags":135},"H2",[],[133,134],"土壤","soil",[],{"code":137,"score":21,"supported":14,"title":138,"abstract":139,"tags":140},"H1",[],[],[107],"多个产业证据相当，需要确认主归属",[143,144],"Ertis 流域 灌溉潜力","哈萨克斯坦 灌溉 遥感","Ertis流域灌溉潜力-5088","10.3390\u002Fearth7050171",{"doi":146,"openalex_id":148,"authors":149,"venue":94,"cited_by_count":65,"oa_url":91,"card":171,"direction":81,"ingested_from":83},"W7222066993",[150,153,156,159,162,165,168],{"name":151,"orcid":152},"Nurgul Aitekeyeva","https:\u002F\u002Forcid.org\u002F0000-0003-3619-7362",{"name":154,"orcid":155},"Asset Yegizbayeva","https:\u002F\u002Forcid.org\u002F0000-0003-2114-8365",{"name":157,"orcid":158},"Nurlan Bekmukhamedov","https:\u002F\u002Forcid.org\u002F0000-0002-3157-7705",{"name":160,"orcid":161},"Kristina Konstantinova","https:\u002F\u002Forcid.org\u002F0009-0004-0212-5656",{"name":163,"orcid":164},"Kudaibergen Kyrgyzbay","https:\u002F\u002Forcid.org\u002F0000-0002-4279-6436",{"name":166,"orcid":167},"Nurdaulet B. Zhumabay","https:\u002F\u002Forcid.org\u002F0009-0004-2476-6526",{"name":169,"orcid":170},"Nurlan Balgabayev","https:\u002F\u002Forcid.org\u002F0000-0001-8127-7981",{"tldr":172,"method":173,"finding":174,"direction":81,"opportunity":175},"用遥感、GIS与AHP评估哈萨克斯坦额尔齐斯流域灌溉开发的土地适宜性。","遥感、GIS与AHP加权叠加，采用坡度、NDVI、土地利用和土壤质地四因子。","约53%流域属高或较高适宜等级，集中在巴甫洛达尔与阿拜地区。","可结合水资源可用性与灌溉基础设施约束，开展适宜区开发可行性的多尺度综合评估。","2026-10-16T23:30:26.892701Z",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":182,"content":9,"source_name":183,"source_url":180,"published_at":184,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":185,"score_detail":186,"sources":188,"tags":190,"primary_topic":193,"secondary_topics":198,"classification":207,"search_phrases":235,"slug":238,"view_count":65,"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",67,{"impact":17,"substance":99,"depth":100,"authority":101,"freshness":102,"relevant":21,"comment":187},"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。",[189],{"name":183,"url":180},[26,27,28,191,192],"地下水潜力","乌干达农业",{"code":47,"slug":194,"name":195,"path":196,"parent_code":197},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[199,203],{"code":39,"slug":200,"name":201,"path":202,"parent_code":197},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":54,"slug":115,"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":41},[211,215,219,224,228],{"code":47,"score":19,"supported":41,"title":212,"abstract":213,"tags":214},[28],[50,28,51],[28],{"code":39,"score":125,"supported":41,"title":216,"abstract":217,"tags":218},[44],[26,44],[26],{"code":54,"score":17,"supported":41,"title":220,"abstract":221,"tags":223},[],[58,222],"water resource",[191,27],{"code":130,"score":86,"supported":41,"title":225,"abstract":226,"tags":227},[],[133,134],[],{"code":229,"score":230,"supported":41,"title":231,"abstract":232,"tags":234},"H7",3,[],[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":183,"cited_by_count":65,"oa_url":180,"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":271,"secondary_topics":272,"classification":274,"search_phrases":302,"slug":305,"view_count":306,"doi":307,"paper":308,"created_at":327},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":17,"substance":99,"depth":100,"authority":101,"freshness":17,"relevant":21,"comment":266},"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。",[268],{"name":262,"url":259},[26,27,28,270,191],"印度农业",{"code":47,"slug":194,"name":195,"path":196,"parent_code":197},[273],{"code":39,"slug":200,"name":201,"path":202,"parent_code":197},{"status":208,"locked":14,"version":34,"method":35,"evidence":275},{"candidates":276,"agricultural_evidence":41},[277,281,285,289,293,297],{"code":47,"score":19,"supported":41,"title":278,"abstract":279,"tags":280},[28],[50,28,51],[28],{"code":39,"score":125,"supported":41,"title":282,"abstract":283,"tags":284},[44],[26,44],[26],{"code":130,"score":86,"supported":41,"title":286,"abstract":287,"tags":288},[],[133,134],[],{"code":54,"score":55,"supported":41,"title":290,"abstract":291,"tags":292},[],[58],[191,27],{"code":229,"score":230,"supported":41,"title":294,"abstract":295,"tags":296},[],[233],[],{"code":298,"score":21,"supported":14,"title":299,"abstract":300,"tags":301},"J3",[],[],[270],[303,304],"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":307,"openalex_id":309,"authors":310,"venue":262,"cited_by_count":65,"oa_url":9,"card":322,"direction":81,"ingested_from":83},"W7215068088",[311,313,315,317,319],{"name":312,"orcid":9},"Rabindra Nath Tiwari",{"name":314,"orcid":9},"Brahmanand Sharma",{"name":316,"orcid":9},"Sarvesh Kumar Patel",{"name":318,"orcid":9},"Aditya Singh Baghel",{"name":320,"orcid":321},"Ashish Kumar Mishra","https:\u002F\u002Forcid.org\u002F0000-0002-9953-4576",{"tldr":323,"method":324,"finding":325,"direction":81,"opportunity":326},"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":329,"title":330,"url":331,"summary":332,"summary_zh":333,"content":9,"source_name":334,"source_url":331,"published_at":335,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":65,"score_detail":336,"sources":338,"tags":340,"primary_topic":9,"secondary_topics":341,"classification":342,"search_phrases":361,"slug":364,"view_count":40,"doi":365,"paper":366,"created_at":383},2793,"Delineation of groundwater potential zones using analytical hierarchy process and GIS in Bhilangana Block of Tehri Garhwal District, Uttarakhand, India","https:\u002F\u002Fdoi.org\u002F10.33765\u002Fthate.16.4.4","Groundwater is one of the most reliable freshwater resources globally, but overexploitation has led to declining water tables, deteriorating water quality, and increased water scarcity. These problems have raised serious questions about how sustainable groundwater management can be achieved. In recent times, geospatial techniques and the Analytical Hierarchy Process (AHP) have been increasingly applied to assess groundwater availability. This research aims to delineate groundwater potential zones in the Bhilangana Block using the above-mentioned methods. Initially, remote sensing data were employed to generate thematic layers, including geomorphology, geology, slope, elevation, drainage density, lineament density, soil, rainfall, and land use\u002Fland cover. Subsequently, these layers were integrated using a multi-criteria evaluation approach, and weights were assigned using AHP-based weighted overlay analysis. The resulting groundwater potential zones were classified into five categories: very low and low (over 45 %), moderate (35.05 %), high (16.66 %), and very high (3.81 %). The findings of this research offer insights into groundwater occurrence in the study area, which could be helpful for sustainable groundwater management and long-term planning of water resources.","地下水是全球最可靠的淡水资源之一，但过度开采已导致地下水位下降、水质恶化以及水资源短缺加剧。这些问题引发了关于如何实现可持续地下水管理的严肃思考。近年来，地理空间技术和层次分析法（Analytical Hierarchy Process, AHP）越来越多地被应用于地下水可获得性评估。本研究旨在利用上述方法圈定Bhilangana区块的地下水潜力区。首先，利用遥感数据生成专题图层，包括地貌、地质、坡度、高程、河网密度、线性构造密度、土壤、降雨以及土地利用\u002F土地覆盖。随后，采用多准则评价方法整合这些图层，并利用基于AHP的加权叠加分析分配权重。所得到的地下水潜力区被划分为五类：极低和低（超过45 %）、中等（35.05 %）、高（16.66 %）以及极高（3.81 %）。本研究结果有助于认识研究区地下水的赋存情况，可为可持续地下水管理和水资源长期规划提供参考。","The holistic approach to environment","2026-09-16T00:00:00Z",{"impact":65,"substance":65,"depth":65,"authority":65,"freshness":65,"relevant":65,"comment":337},"该论文研究印度北阿坎德邦地下水潜力区划，属水文地质与遥感应用领域，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[339],{"name":334,"url":331},[26,27,28],[],{"status":33,"locked":14,"version":34,"method":35,"evidence":343},{"candidates":344,"agricultural_evidence":14,"reason":60},[345,349,353,357],{"code":47,"score":102,"supported":41,"title":346,"abstract":347,"tags":348},[28],[],[28],{"code":39,"score":40,"supported":41,"title":350,"abstract":351,"tags":352},[],[26,44],[26],{"code":130,"score":86,"supported":41,"title":354,"abstract":355,"tags":356},[],[133,134],[],{"code":54,"score":306,"supported":41,"title":358,"abstract":359,"tags":360},[],[58],[27],[362,363],"水资源管理 遥感 GIS","水资源管理 遥感","水资源管理遥感GIS-2793","10.33765\u002Fthate.16.4.4",{"doi":365,"openalex_id":367,"authors":368,"venue":334,"cited_by_count":65,"oa_url":377,"card":378,"direction":81,"ingested_from":83},"W7213317885",[369,372,375],{"name":370,"orcid":371},"Siddharth Rana","https:\u002F\u002Forcid.org\u002F0009-0006-5304-3233",{"name":373,"orcid":374},"Gaurav Gaurav","https:\u002F\u002Forcid.org\u002F0000-0001-8857-5797",{"name":376,"orcid":9},"Mohan Singh Panwar","https:\u002F\u002Fcasopis.hrcpo.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FRana-et-al_HAE_16_2026_4.pdf",{"tldr":379,"method":380,"finding":381,"direction":81,"opportunity":382},"用AHP与GIS遥感数据划分印度Bhilangana区块地下水潜力区。","遥感专题图层+AHP加权叠加多准则评价。","潜力区以低和极低为主（超45%），极高仅3.81%。","可结合灌溉需求与作物分布，将地下水潜力图用于农业用水优化与井位选址。","2026-09-17T23:30:36.203631Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":9,"source_name":390,"source_url":387,"published_at":391,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":392,"score_detail":393,"sources":395,"tags":397,"primary_topic":401,"secondary_topics":402,"classification":403,"search_phrases":428,"slug":431,"view_count":65,"doi":432,"paper":433,"created_at":447},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":17,"substance":19,"depth":20,"authority":98,"freshness":102,"relevant":21,"comment":394},"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。",[396],{"name":390,"url":387},[26,398,399,28,400],"土地利用","土壤侵蚀","水土保持",{"code":47,"slug":194,"name":195,"path":196,"parent_code":197},[],{"status":208,"locked":14,"version":34,"method":35,"evidence":404},{"candidates":405,"agricultural_evidence":41},[406,410,414,418,422],{"code":47,"score":13,"supported":41,"title":407,"abstract":408,"tags":409},[],[50,28,51],[28],{"code":39,"score":40,"supported":41,"title":411,"abstract":412,"tags":413},[],[26,44],[26],{"code":130,"score":86,"supported":41,"title":415,"abstract":416,"tags":417},[],[133,134],[],{"code":54,"score":230,"supported":41,"title":419,"abstract":420,"tags":421},[],[117],[],{"code":423,"score":424,"supported":14,"title":425,"abstract":426,"tags":427},"H6",2,[],[],[398,400],[429,430],"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":432,"openalex_id":434,"authors":435,"venue":390,"cited_by_count":65,"oa_url":9,"card":441,"direction":81,"ingested_from":83},"W7223117733",[436,438],{"name":437,"orcid":9},"MERİÇ KURT",{"name":439,"orcid":440},"Celal ŞENOL","https:\u002F\u002Forcid.org\u002F0000-0003-0857-866X",{"tldr":442,"method":443,"finding":444,"direction":445,"opportunity":446},"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",{"id":449,"title":450,"url":451,"summary":452,"summary_zh":453,"content":9,"source_name":454,"source_url":451,"published_at":455,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":456,"sources":458,"tags":460,"primary_topic":464,"secondary_topics":468,"classification":469,"search_phrases":494,"slug":497,"view_count":65,"doi":498,"paper":499,"created_at":514},5495,"Artificial Neural Network-Based Prediction and Mapping of Elephant Corridors in West Bengal Using Geospatial and Environmental Variables","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23496876","The fragmentation of forest habitats and increasing anthropogenic pressures have significantly altered elephant movementpatternsinWestBengal,India,resultinginanescalatinghuman-elephantconflict.Accurateidentification and mapping of elephant corridors are essential for landscape-level conservation planning and mitigation.Traditional corridor mapping methods, including expert-based delineation and least-cost path analyses, oftenstruggle to capture the complex and nonlinear relationships between environmental variables influencing elephant movement. This study proposes an Artificial Neural Network (ANN)-based framework to predict potential elephant corridors across West Bengal using remotely sensed and geographic information system (GIS) datasets. The predictor variables included forest cover, normalized difference vegetation index (NDVI), elevation, slope,proximity to water sources, distance from roads, railways, settlements, agricultural land, and historical elephant occurrence records. The ANN model was trained using known elephant movement locations and validated using independent datasets. The predicted suitable surface was integrated into a GIS environment to identify probable movement corridors and prioritize areas for conservation. The proposed approach demonstrates the ability of machine learning to improve corridor prediction compared with conventional GIS-based techniques and provides a decision support tool for forest managers and policymakers.","森林栖息地的破碎化和日益增加的人为压力显著改变了印度西孟加拉邦大象的活动模式，导致人象冲突不断加剧。准确识别和绘制大象廊道对于景观层面的保护规划和冲突缓解至关重要。传统的廊道制图方法，包括基于专家的 delineation（边界划定）和最小成本路径分析，往往难以捕捉影响大象活动的环境变量之间复杂的非线性关系。本研究提出了一种基于人工神经网络（Artificial Neural Network, ANN）的框架，利用遥感数据和地理信息系统（Geographic Information System, GIS）数据集预测西孟加拉邦潜在的大象廊道。预测变量包括森林覆盖、归一化植被指数（Normalized Difference Vegetation Index, NDVI）、海拔、坡度、距水源的邻近度、距道路、铁路、居民点、农田的距离以及历史大象出现记录。ANN模型利用已知的大象活动位置进行训练，并使用独立数据集进行验证。将预测得到的适宜性表面整合到GIS环境中，以识别可能的迁移廊道并确定保护优先区域。所提出的方法展示了机器学习相较于传统基于GIS的技术在改进廊道预测方面的能力，并为森林管理者和政策制定者提供了决策支持工具。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z",{"impact":98,"substance":99,"depth":100,"authority":98,"freshness":102,"relevant":21,"comment":457},"该研究用人工神经网络结合遥感与GIS预测大象迁徙走廊，方法新颖、数据扎实，对生态保护与乡村人兽冲突治理有参考价值，但属区域性研究，公共影响有限。",[459],{"name":454,"url":451},[461,26,28,462,463],"农业人工智能","野生动物保护","人兽冲突",{"code":197,"slug":465,"name":466,"path":467,"parent_code":9},"digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":470,"locked":14,"version":34,"method":35,"evidence":471},"partial",{"candidates":472,"agricultural_evidence":41,"reason":493},[473,481,485,489],{"code":474,"score":13,"supported":41,"title":475,"abstract":476,"tags":480},"I2",[],[477,478,479],"机器学习","machine learning","decision support",[461],{"code":47,"score":13,"supported":41,"title":482,"abstract":483,"tags":484},[],[50,28,51],[28],{"code":39,"score":306,"supported":41,"title":486,"abstract":487,"tags":488},[],[26],[26],{"code":423,"score":21,"supported":14,"title":490,"abstract":491,"tags":492},[],[],[462],"一级领域明确，二级方向需要细分",[495,496],"西孟加拉邦 大象走廊","人工神经网络 大象走廊","西孟加拉邦大象走廊-5495","10.5281\u002Fzenodo.23496876",{"doi":498,"openalex_id":500,"authors":501,"venue":454,"cited_by_count":65,"oa_url":451,"card":508,"direction":513,"ingested_from":83},"W7222999966",[502,504,506],{"name":503,"orcid":9},"Bhutia Dechen Doma",{"name":505,"orcid":9},"Swarup Das",{"name":507,"orcid":9},"Mandal Rakesh Kumar",{"tldr":509,"method":510,"finding":511,"direction":81,"opportunity":512},"用人工神经网络结合遥感与GIS变量预测并制图西孟加拉邦大象迁徙廊道。","ANN模型，输入遥感与GIS环境变量及历史象群出现记录，GIS集成制图。","ANN能刻画环境变量非线性关系，廊道预测优于传统GIS方法，可作决策支持工具。","可将ANN廊道预测与人类活动、农田冲突热点耦合，探索农业景观中野生动物通道与作物保护的协同规划。","农业人工智能与决策模型","2026-10-21T23:30:43.936453Z"]