[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4902":3,"related-4902":114},{"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":77,"slug":80,"view_count":21,"doi":81,"paper":82,"created_at":113},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。",null,"Discover Geoscience","2026-10-12T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,21,17,13,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"水资源管理","遥感监测","GIS","地下水潜力","湿地生态",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":76},[38,48,55,63,71],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":47},"H3",11,true,[],[44,45,46],"灌溉","水资源","irrigation",[29,26],{"code":49,"score":13,"supported":41,"title":50,"abstract":51,"tags":54},"I4",[],[52,28,53],"地理信息","geographic information",[28],{"code":56,"score":57,"supported":41,"title":58,"abstract":59,"tags":62},"I3",7,[],[60,61],"遥感","remote sensing",[27],{"code":64,"score":65,"supported":41,"title":66,"abstract":67,"tags":70},"H2",6,[],[68,69],"土壤","soil",[],{"code":72,"score":21,"supported":14,"title":73,"abstract":74,"tags":75},"H6",[],[],[30],"农业相关性需要复核",[78,79],"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","10.1007\u002Fs44288-026-00768-z",{"doi":81,"openalex_id":83,"authors":84,"venue":10,"cited_by_count":104,"oa_url":105,"card":106,"direction":110,"ingested_from":112},"W7221572372",[85,87,90,93,96,98,100,102],{"name":86,"orcid":9},"Wahedul Alam",{"name":88,"orcid":89},"Iftekharul Islam","https:\u002F\u002Forcid.org\u002F0000-0002-8025-5729",{"name":91,"orcid":92},"Chowdhury Sarwar Jahan","https:\u002F\u002Forcid.org\u002F0009-0008-1316-4684",{"name":94,"orcid":95},"Md. Nahid Hassan","https:\u002F\u002Forcid.org\u002F0009-0000-9210-383X",{"name":97,"orcid":9},"Mostofa Kamal",{"name":99,"orcid":9},"Fayed Islam Tishad",{"name":101,"orcid":9},"Quamrul Hasan Mazumder",{"name":103,"orcid":9},"Md. Golam Mostafa",0,"https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00768-z.pdf",{"tldr":107,"method":108,"finding":109,"direction":110,"opportunity":111},"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%。","农业遥感与作物表型","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。","openalex","2026-10-14T23:30:30.477606Z",{"total":65,"page":21,"page_size":65,"items":115},[116,197,270,338,417,474],{"id":117,"title":118,"url":119,"summary":120,"summary_zh":121,"content":9,"source_name":122,"source_url":119,"published_at":123,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":124,"sources":128,"tags":130,"primary_topic":132,"secondary_topics":137,"classification":146,"search_phrases":176,"slug":179,"view_count":104,"doi":180,"paper":181,"created_at":196},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":125,"depth":19,"authority":20,"freshness":126,"relevant":21,"comment":127},20,9,"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。",[129],{"name":122,"url":119},[60,26,28,29,131],"乌干达农业",{"code":49,"slug":133,"name":134,"path":135,"parent_code":136},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[138,142],{"code":56,"slug":139,"name":140,"path":141,"parent_code":136},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":39,"slug":46,"name":143,"path":144,"parent_code":145},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":147,"locked":14,"version":34,"method":35,"evidence":148},"classified",{"candidates":149,"agricultural_evidence":41},[150,155,160,165,169],{"code":49,"score":151,"supported":41,"title":152,"abstract":153,"tags":154},18,[28],[52,28,53],[28],{"code":56,"score":156,"supported":41,"title":157,"abstract":158,"tags":159},15,[61],[60,61],[60],{"code":39,"score":17,"supported":41,"title":161,"abstract":162,"tags":164},[],[45,163],"water resource",[29,26],{"code":64,"score":65,"supported":41,"title":166,"abstract":167,"tags":168},[],[68,69],[],{"code":170,"score":171,"supported":41,"title":172,"abstract":173,"tags":175},"H7",3,[],[174],"干旱",[],[177,178],"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":180,"openalex_id":182,"authors":183,"venue":122,"cited_by_count":104,"oa_url":119,"card":191,"direction":110,"ingested_from":112},"W7221339030",[184,187,189],{"name":185,"orcid":186},"Ahmed Abdirizak Dirie","https:\u002F\u002Forcid.org\u002F0009-0002-8109-0724",{"name":188,"orcid":9},"Abdulkadir Ahmed Mohamed",{"name":190,"orcid":9},"Ambiga Kannapiran",{"tldr":192,"method":193,"finding":194,"direction":110,"opportunity":195},"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":198,"title":199,"url":200,"summary":201,"summary_zh":202,"content":9,"source_name":203,"source_url":200,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":208,"tags":210,"primary_topic":212,"secondary_topics":213,"classification":215,"search_phrases":244,"slug":247,"view_count":248,"doi":249,"paper":250,"created_at":269},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":125,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":207},"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。",[209],{"name":203,"url":200},[60,26,28,211,29],"印度农业",{"code":49,"slug":133,"name":134,"path":135,"parent_code":136},[214],{"code":56,"slug":139,"name":140,"path":141,"parent_code":136},{"status":147,"locked":14,"version":34,"method":35,"evidence":216},{"candidates":217,"agricultural_evidence":41},[218,222,226,230,235,239],{"code":49,"score":151,"supported":41,"title":219,"abstract":220,"tags":221},[28],[52,28,53],[28],{"code":56,"score":156,"supported":41,"title":223,"abstract":224,"tags":225},[61],[60,61],[60],{"code":64,"score":65,"supported":41,"title":227,"abstract":228,"tags":229},[],[68,69],[],{"code":39,"score":231,"supported":41,"title":232,"abstract":233,"tags":234},5,[],[45],[29,26],{"code":170,"score":171,"supported":41,"title":236,"abstract":237,"tags":238},[],[174],[],{"code":240,"score":21,"supported":14,"title":241,"abstract":242,"tags":243},"J3",[],[],[211],[245,246],"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":249,"openalex_id":251,"authors":252,"venue":203,"cited_by_count":104,"oa_url":9,"card":264,"direction":110,"ingested_from":112},"W7215068088",[253,255,257,259,261],{"name":254,"orcid":9},"Rabindra Nath Tiwari",{"name":256,"orcid":9},"Brahmanand Sharma",{"name":258,"orcid":9},"Sarvesh Kumar Patel",{"name":260,"orcid":9},"Aditya Singh Baghel",{"name":262,"orcid":263},"Ashish Kumar Mishra","https:\u002F\u002Forcid.org\u002F0000-0002-9953-4576",{"tldr":265,"method":266,"finding":267,"direction":110,"opportunity":268},"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":271,"title":272,"url":273,"summary":274,"summary_zh":275,"content":9,"source_name":276,"source_url":273,"published_at":277,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":104,"score_detail":278,"sources":280,"tags":282,"primary_topic":9,"secondary_topics":284,"classification":285,"search_phrases":307,"slug":310,"view_count":104,"doi":311,"paper":312,"created_at":337},5189,"Remote Multispectral Sensing for Spatial and Temporal Analysis and Location Selection of a Reservoir on the Zhabay River, Kazakhstan","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010542","This study aims to develop a methodology for identifying potential reservoir sites along the Zhylandy River, a right-bank tributary of the Zhabay River, using multispectral remote sensing data. The relevance of this work stems from the need to adapt Kazakhstan’s water resource management system to changing climate conditions and to ensure sustainable development of the region. To reconstruct the dynamics of water-surface extent across the entire river basin, a time series of Landsat-8, and Landsat-9 Level-2 scenes acquired between 2020 and 2026 was processed. The resulting water occurrence frequency maps were integrated with digital elevation data from the Shuttle Radar Topography Mission (SRTM) within a multi-criteria GIS analysis to assess site suitability. The key criteria included a stable water occurrence frequency, suitable valley geometry (slope \u003C 5°), and minimal conflicts with existing land use. Three promising sites were identified: Site 105 near the village of Novoselovka (potential storage volume ~75.6 million m3), Site 104 in the upper reaches of the Zhylandy River (~30.01 million m3), and Site 1A near Khlebnoye (~52.4 million m3). Validation against high-resolution imagery showed an overall accuracy of 87%, producer’s accuracy of 85.2%, user’s accuracy of 89.0%, Kappa of 0.74, and F1-score of 0.87. The proposed methodology provides a scientifically grounded basis for sustainable water resource management and flood risk reduction in data-scarce basins, contributing to the achievement of sustainable development goals under climate change.","本研究旨在开发一种方法，利用多光谱遥感数据在扎拜河（Zhabay River）右岸支流日兰迪河（Zhylandy River）沿线识别潜在水库坝址。本工作的现实意义源于哈萨克斯坦水资源管理系统适应气候变化条件并保障区域可持续发展的需要。为重建全流域水面范围的动态变化，研究处理了2020年至2026年间获取的Landsat-8和Landsat-9 Level-2影像时间序列。将所得水体出现频率图与航天飞机雷达地形测绘任务（SRTM）的数字高程数据在多准则GIS分析中集成，以评估坝址适宜性。关键准则包括稳定的水体出现频率、适宜的河谷几何形态（坡度\u003C5°）以及与现有土地利用的最小冲突。研究识别出三个有前景的坝址：新谢洛夫卡村（Novoselovka）附近的105号坝址（潜在库容约7560万m³）、日兰迪河上游的104号坝址（约3001万m³）以及赫列布诺耶（Khlebnoye）附近的1A号坝址（约5240万m³）。基于高分辨率影像的验证结果显示，总体精度为87%，生产者精度为85.2%，用户精度为89.0%，Kappa系数为0.74，F1分数为0.87。所提出的方法为数据稀缺流域的可持续水资源管理和洪水风险降低提供了科学依据，有助于在气候变化背景下实现可持续发展目标。","Sustainability","2026-10-16T00:00:00Z",{"impact":104,"substance":104,"depth":104,"authority":104,"freshness":104,"relevant":104,"comment":279},"该研究聚焦哈萨克斯坦河流水库选址，虽用多光谱遥感方法，但与三农、农业信息化、数字乡村无直接关联，不达相关性门槛。",[281],{"name":276,"url":273},[26,27,283],"多光谱遥感",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":286},{"candidates":287,"agricultural_evidence":14,"reason":76},[288,293,297,303],{"code":56,"score":151,"supported":41,"title":289,"abstract":291,"tags":292},[290],"multispectral",[60,61,290],[27],{"code":39,"score":57,"supported":41,"title":294,"abstract":295,"tags":296},[],[45,163],[26],{"code":170,"score":65,"supported":41,"title":298,"abstract":299,"tags":302},[],[300,301],"气候变化","climate change",[],{"code":49,"score":171,"supported":41,"title":304,"abstract":305,"tags":306},[],[28],[],[308,309],"Zhabay River 水库选址","Landsat 多光谱 遥感","ZhabayRiver水库选址-5189","10.3390\u002Fsu182010542",{"doi":311,"openalex_id":313,"authors":314,"venue":276,"cited_by_count":104,"oa_url":273,"card":331,"direction":336,"ingested_from":112},"W7222647076",[315,318,321,324,326,328],{"name":316,"orcid":317},"Baurzhan Yessenzholov","https:\u002F\u002Forcid.org\u002F0000-0002-8851-2224",{"name":319,"orcid":320},"Ivan Plachinta","https:\u002F\u002Forcid.org\u002F0000-0002-5735-1288",{"name":322,"orcid":323},"Anuarbek A. Kakabayev","https:\u002F\u002Forcid.org\u002F0000-0002-3825-0625",{"name":325,"orcid":9},"Gulzhan Dankina",{"name":327,"orcid":9},"Suraganov Miras",{"name":329,"orcid":330},"Gulmira Kyzdarbekova","https:\u002F\u002Forcid.org\u002F0000-0001-9982-9027",{"tldr":332,"method":333,"finding":334,"direction":110,"opportunity":335},"用多光谱遥感与GIS多准则分析在哈萨克斯坦Zhabay河选定三处水库坝址。","Landsat-8\u002F9时序水体频率图叠加SRTM高程，做多准则GIS选址并高分辨","识别出三处候选坝址，总精度87%、Kappa 0.74，可支撑缺水流域水资源管理。","可将该水体频率+地形选址框架迁移到缺资料农业流域的灌溉蓄水与旱涝风险规划。","数字乡村与农业信息化","2026-10-17T23:30:39.503932Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":343,"content":9,"source_name":344,"source_url":341,"published_at":345,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":346,"score_detail":347,"sources":350,"tags":352,"primary_topic":9,"secondary_topics":355,"classification":356,"search_phrases":382,"slug":385,"view_count":104,"doi":386,"paper":387,"created_at":416},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":348,"substance":125,"depth":19,"authority":20,"freshness":126,"relevant":21,"comment":349},12,"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。",[351],{"name":344,"url":341},[60,26,28,353,354],"土地适宜性","灌溉潜力",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":357},{"candidates":358,"agricultural_evidence":41,"reason":381},[359,363,368,372,376],{"code":39,"score":151,"supported":41,"title":360,"abstract":361,"tags":362},[46],[44,45,46],[26],{"code":49,"score":151,"supported":41,"title":364,"abstract":366,"tags":367},[365],"spatial analysis",[52,28,53],[28],{"code":56,"score":156,"supported":41,"title":369,"abstract":370,"tags":371},[61],[60,61],[60],{"code":64,"score":65,"supported":41,"title":373,"abstract":374,"tags":375},[],[68,69],[],{"code":377,"score":21,"supported":14,"title":378,"abstract":379,"tags":380},"H1",[],[],[353],"多个产业证据相当，需要确认主归属",[383,384],"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":386,"openalex_id":388,"authors":389,"venue":344,"cited_by_count":104,"oa_url":341,"card":411,"direction":110,"ingested_from":112},"W7222066993",[390,393,396,399,402,405,408],{"name":391,"orcid":392},"Nurgul Aitekeyeva","https:\u002F\u002Forcid.org\u002F0000-0003-3619-7362",{"name":394,"orcid":395},"Asset Yegizbayeva","https:\u002F\u002Forcid.org\u002F0000-0003-2114-8365",{"name":397,"orcid":398},"Nurlan Bekmukhamedov","https:\u002F\u002Forcid.org\u002F0000-0002-3157-7705",{"name":400,"orcid":401},"Kristina Konstantinova","https:\u002F\u002Forcid.org\u002F0009-0004-0212-5656",{"name":403,"orcid":404},"Kudaibergen Kyrgyzbay","https:\u002F\u002Forcid.org\u002F0000-0002-4279-6436",{"name":406,"orcid":407},"Nurdaulet B. Zhumabay","https:\u002F\u002Forcid.org\u002F0009-0004-2476-6526",{"name":409,"orcid":410},"Nurlan Balgabayev","https:\u002F\u002Forcid.org\u002F0000-0001-8127-7981",{"tldr":412,"method":413,"finding":414,"direction":110,"opportunity":415},"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":418,"title":419,"url":420,"summary":421,"summary_zh":422,"content":9,"source_name":423,"source_url":420,"published_at":424,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":346,"score_detail":425,"sources":427,"tags":429,"primary_topic":9,"secondary_topics":433,"classification":434,"search_phrases":451,"slug":454,"view_count":21,"doi":455,"paper":456,"created_at":473},5009,"Integrated assessment of meteorological drought impacts on terrestrial water storage and vegetation dynamics in East Africa","https:\u002F\u002Fdoi.org\u002F10.1002\u002Frvr2.70072","Abstract Water is essential for life, and effective hydrological management is crucial for economic stability and quality of life. Poor water resource governance can lead to scarcity, displacement, or even fatal consequences. Hydrological conditions in East Africa are influenced by drivers such as demographic expansion, industrialization, droughts, and vegetation dynamics. This study explores how total water storage in the region responds to drought intensity and vegetation variability. To analyze drought conditions, the study employs CHIRPS satellite‐derived precipitation data (1982–2019) and calculates the 1‐ and 3‐month Standardized Precipitation Index (SPI) (2000–2019). Vegetation trends are assessed using MODIS‐derived Normalized Difference Vegetation Index (NDVI) over this same period. Variations in total water storage (2002–2019) are examined using Gravity Recovery and Climate Experiment (GRACE) and GRACE‐FO datasets. Results indicate increased drought severity from 2000 to 2005, followed by a decline until 2019. In 2002, approximately 7.6 × 10 5 km 2 of land was affected by drought, reducing to 4.2 × 10 5 km 2 by 2019. Concurrently, vegetation cover expanded from 1.73 × 10 6 km 2 (2002) to 2.06 × 10 6 km 2 (2019). GRACE‐derived terrestrial water storage anomalies exhibited substantial temporal variability throughout the study period, with prolonged storage deficits during major drought episodes and pronounced recovery during wetter climatic conditions. The observed TWSA patterns showed strong correspondence with variations in precipitation and vegetation dynamics across East Africa. Statistical analysis reveals a pronounced inverse relationship linking SPI and terrestrial water storage anomalies (TWSAs) ( r = −0.998) and a strong positive correlation between NDVI and TWSA ( r = +0.985). These statistical relationships demonstrate the coordinated response of terrestrial water storage and vegetation dynamics to regional precipitation variability. The findings highlight the imperative for sustainable land and water governance frameworks to counteract drought effects and strengthen hydrological resilience in East Africa.","摘要 水是生命之源，有效的水文管理对经济稳定和生活质量至关重要。水资源治理不善可能导致水资源短缺、人口流离失所，甚至造成致命后果。东非的水文状况受到人口扩张、工业化、干旱和植被动态等驱动因素的影响。本研究探讨了该地区总储水量如何响应干旱强度和植被变异性。为分析干旱状况，本研究采用CHIRPS卫星降水数据（1982—2019年），并计算了1个月和3个月尺度的标准化降水指数（SPI）（2000—2019年）。植被趋势则通过同期MODIS衍生的归一化植被指数（NDVI）进行评估。总储水量变化（2002—2019年）利用重力恢复与气候实验（GRACE）及其后续任务GRACE-FO数据集进行考察。结果表明，2000年至2005年干旱严重程度增加，随后至2019年呈下降趋势。2002年约有7.6 × 10⁵ km²的土地受干旱影响，到2019年减少至4.2 × 10⁵ km²。与此同时，植被覆盖面积从1.73 × 10⁶ km²（2002年）扩展至2.06 × 10⁶ km²（2019年）。GRACE衍生的陆地水储量异常在整个研究期内表现出显著的时间变异性，在重大干旱事件期间出现持续的水储量亏缺，而在较湿润的气候条件下则呈现明显的恢复。观测到的陆地水储量异常（TWSA）模式与东非降水及植被动态的变化高度一致。统计分析揭示了标准化降水指数与陆地水储量异常之间显著的负相关关系（r = −0.998），以及归一化植被指数与陆地水储量异常之间强烈的正相关关系（r = +0.985）。这些统计关系表明，陆地水储量与植被动态对区域降水变率具有协同响应。研究结果凸显了建立可持续土地和水治理框架的紧迫性，以抵消干旱影响并增强东非的水文韧性。","River","2026-10-13T00:00:00Z",{"impact":348,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":426},"基于GRACE、CHIRPS与MODIS多源遥感的东非干旱—水储量—植被耦合研究，方法扎实、数据跨度长，对农业水资源韧性治理有参考价值，但属区域基础研究，公共影响有限。",[428],{"name":423,"url":420},[26,27,430,431,432],"植被动态","干旱预警","东非农业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":435},{"candidates":436,"agricultural_evidence":14,"reason":76},[437,442,446],{"code":170,"score":156,"supported":41,"title":438,"abstract":440,"tags":441},[439],"drought",[174,439],[431],{"code":39,"score":57,"supported":41,"title":443,"abstract":444,"tags":445},[],[45,163],[26],{"code":56,"score":447,"supported":14,"title":448,"abstract":449,"tags":450},2,[],[],[430,27],[452,453],"GRACE 陆地水储量 东非","SPI NDVI 干旱监测","GRACE陆地水储量东非-5009","10.1002\u002Frvr2.70072",{"doi":455,"openalex_id":457,"authors":458,"venue":423,"cited_by_count":104,"oa_url":467,"card":468,"direction":110,"ingested_from":112},"W7221658579",[459,462,465],{"name":460,"orcid":461},"Mekuanint Eresho Wollebo","https:\u002F\u002Forcid.org\u002F0009-0009-5502-4775",{"name":463,"orcid":464},"Yohannes Mehari Andiye","https:\u002F\u002Forcid.org\u002F0009-0007-7153-5474",{"name":466,"orcid":9},"Tulu Besha Bedada","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Frvr2.70072",{"tldr":469,"method":470,"finding":471,"direction":110,"opportunity":472},"评估东非气象干旱对陆地水储量和植被动态的影响。","用CHIRPS、MODIS NDVI、GRACE\u002FGRACE-FO数据及SPI指","干旱面积减少、植被扩张，SPI与TWSA强负相关，NDVI与TWSA强正相关。","可结合多源遥感与机器学习，构建干旱-水储量-植被耦合的早期预警模型。","2026-10-15T23:30:30.980660Z",{"id":475,"title":476,"url":477,"summary":478,"summary_zh":479,"content":9,"source_name":480,"source_url":477,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":481,"score_detail":482,"sources":486,"tags":488,"primary_topic":9,"secondary_topics":491,"classification":492,"search_phrases":507,"slug":510,"view_count":104,"doi":511,"paper":512,"created_at":527},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。","Hydrogeology Journal",70,{"impact":17,"substance":483,"depth":151,"authority":484,"freshness":17,"relevant":21,"comment":485},22,14,"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。",[487],{"name":480,"url":477},[60,26,28,489,490],"地下水","巴西农业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":493},{"candidates":494,"agricultural_evidence":14,"reason":76},[495,499,503],{"code":56,"score":57,"supported":41,"title":496,"abstract":497,"tags":498},[],[60,61],[60],{"code":49,"score":57,"supported":41,"title":500,"abstract":501,"tags":502},[],[52,53],[28],{"code":39,"score":231,"supported":41,"title":504,"abstract":505,"tags":506},[],[45],[489,26],[508,509],"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","10.1007\u002Fs10040-026-03188-y",{"doi":511,"openalex_id":513,"authors":514,"venue":480,"cited_by_count":104,"oa_url":521,"card":522,"direction":110,"ingested_from":112},"W7221527317",[515,518],{"name":516,"orcid":517},"Thyago Anthony Soares Lima","https:\u002F\u002Forcid.org\u002F0000-0002-4607-2953",{"name":519,"orcid":520},"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":523,"method":524,"finding":525,"direction":110,"opportunity":526},"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。","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。","2026-10-14T23:30:28.775390Z"]