[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5189":3,"related-5189":98},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":24,"classification":25,"search_phrases":65,"slug":68,"view_count":15,"doi":69,"paper":70,"created_at":97},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。",null,"Sustainability","2026-10-16T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"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。",[19],{"name":10,"url":6},[21,22,23],"水资源管理","遥感监测","多光谱遥感",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":64},[31,41,49,57],{"code":32,"score":33,"supported":34,"title":35,"abstract":37,"tags":40},"I3",18,true,[36],"multispectral",[38,39,36],"遥感","remote sensing",[22],{"code":42,"score":43,"supported":34,"title":44,"abstract":45,"tags":48},"H3",7,[],[46,47],"水资源","water resource",[21],{"code":50,"score":51,"supported":34,"title":52,"abstract":53,"tags":56},"H7",6,[],[54,55],"气候变化","climate change",[],{"code":58,"score":59,"supported":34,"title":60,"abstract":61,"tags":63},"I4",3,[],[62],"GIS",[],"农业相关性需要复核",[66,67],"Zhabay River 水库选址","Landsat 多光谱 遥感","ZhabayRiver水库选址-5189","10.3390\u002Fsu182010542",{"doi":69,"openalex_id":71,"authors":72,"venue":10,"cited_by_count":15,"oa_url":6,"card":89,"direction":95,"ingested_from":96},"W7222647076",[73,76,79,82,84,86],{"name":74,"orcid":75},"Baurzhan Yessenzholov","https:\u002F\u002Forcid.org\u002F0000-0002-8851-2224",{"name":77,"orcid":78},"Ivan Plachinta","https:\u002F\u002Forcid.org\u002F0000-0002-5735-1288",{"name":80,"orcid":81},"Anuarbek A. Kakabayev","https:\u002F\u002Forcid.org\u002F0000-0002-3825-0625",{"name":83,"orcid":9},"Gulzhan Dankina",{"name":85,"orcid":9},"Suraganov Miras",{"name":87,"orcid":88},"Gulmira Kyzdarbekova","https:\u002F\u002Forcid.org\u002F0000-0001-9982-9027",{"tldr":90,"method":91,"finding":92,"direction":93,"opportunity":94},"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。","农业遥感与作物表型","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","openalex","2026-10-17T23:30:39.503932Z",{"total":51,"page":99,"page_size":51,"items":100},1,[101,166,249,331,409,472],{"id":102,"title":103,"url":104,"summary":105,"summary_zh":106,"content":9,"source_name":107,"source_url":104,"published_at":108,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":109,"score_detail":110,"sources":117,"tags":119,"primary_topic":9,"secondary_topics":123,"classification":124,"search_phrases":143,"slug":146,"view_count":99,"doi":147,"paper":148,"created_at":165},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",71,{"impact":111,"substance":112,"depth":113,"authority":114,"freshness":115,"relevant":99,"comment":116},12,21,17,13,8,"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。",[118],{"name":107,"url":104},[21,22,120,121,122],"植被动态","干旱预警","东非农业",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":125},{"candidates":126,"agricultural_evidence":14,"reason":64},[127,134,138],{"code":50,"score":128,"supported":34,"title":129,"abstract":131,"tags":133},15,[130],"drought",[132,130],"干旱",[121],{"code":42,"score":43,"supported":34,"title":135,"abstract":136,"tags":137},[],[46,47],[21],{"code":32,"score":139,"supported":14,"title":140,"abstract":141,"tags":142},2,[],[],[120,22],[144,145],"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":147,"openalex_id":149,"authors":150,"venue":107,"cited_by_count":15,"oa_url":159,"card":160,"direction":93,"ingested_from":96},"W7221658579",[151,154,157],{"name":152,"orcid":153},"Mekuanint Eresho Wollebo","https:\u002F\u002Forcid.org\u002F0009-0009-5502-4775",{"name":155,"orcid":156},"Yohannes Mehari Andiye","https:\u002F\u002Forcid.org\u002F0009-0007-7153-5474",{"name":158,"orcid":9},"Tulu Besha Bedada","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Frvr2.70072",{"tldr":161,"method":162,"finding":163,"direction":93,"opportunity":164},"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":167,"title":168,"url":169,"summary":170,"summary_zh":171,"content":9,"source_name":172,"source_url":169,"published_at":173,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":174,"score_detail":175,"sources":177,"tags":179,"primary_topic":9,"secondary_topics":182,"classification":183,"search_phrases":215,"slug":218,"view_count":99,"doi":219,"paper":220,"created_at":248},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。","Discover Geoscience","2026-10-12T00:00:00Z",67,{"impact":115,"substance":112,"depth":113,"authority":114,"freshness":115,"relevant":99,"comment":176},"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。",[178],{"name":172,"url":169},[21,22,62,180,181],"地下水潜力","湿地生态",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":184},{"candidates":185,"agricultural_evidence":14,"reason":64},[186,193,199,203,210],{"code":42,"score":187,"supported":34,"title":188,"abstract":189,"tags":192},11,[],[190,46,191],"灌溉","irrigation",[180,21],{"code":58,"score":13,"supported":34,"title":194,"abstract":195,"tags":198},[],[196,62,197],"地理信息","geographic information",[62],{"code":32,"score":43,"supported":34,"title":200,"abstract":201,"tags":202},[],[38,39],[22],{"code":204,"score":51,"supported":34,"title":205,"abstract":206,"tags":209},"H2",[],[207,208],"土壤","soil",[],{"code":211,"score":99,"supported":14,"title":212,"abstract":213,"tags":214},"H6",[],[],[181],[216,217],"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":219,"openalex_id":221,"authors":222,"venue":172,"cited_by_count":15,"oa_url":242,"card":243,"direction":93,"ingested_from":96},"W7221572372",[223,225,228,231,234,236,238,240],{"name":224,"orcid":9},"Wahedul Alam",{"name":226,"orcid":227},"Iftekharul Islam","https:\u002F\u002Forcid.org\u002F0000-0002-8025-5729",{"name":229,"orcid":230},"Chowdhury Sarwar Jahan","https:\u002F\u002Forcid.org\u002F0009-0008-1316-4684",{"name":232,"orcid":233},"Md. Nahid Hassan","https:\u002F\u002Forcid.org\u002F0009-0000-9210-383X",{"name":235,"orcid":9},"Mostofa Kamal",{"name":237,"orcid":9},"Fayed Islam Tishad",{"name":239,"orcid":9},"Quamrul Hasan Mazumder",{"name":241,"orcid":9},"Md. Golam Mostafa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00768-z.pdf",{"tldr":244,"method":245,"finding":246,"direction":93,"opportunity":247},"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":250,"title":251,"url":252,"summary":253,"summary_zh":254,"content":9,"source_name":255,"source_url":252,"published_at":256,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":261,"tags":263,"primary_topic":267,"secondary_topics":273,"classification":278,"search_phrases":307,"slug":310,"view_count":99,"doi":311,"paper":312,"created_at":330},4527,"Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques","https:\u002F\u002Fdoi.org\u002F10.1111\u002F1477-8947.70100","ABSTRACT From a socio‐economic perspective, it is of interest to find out whether sustainable water resources can truly sustain rural livelihoods. Based on historical research, it is known that an improvement on resilient economic indicators such as ground water is often correlated with socio‐economic improvements and other aspects of rural livelihoods. The extent of factors affecting livelihood sustenance and improvement in the village of Raleras, Maharashtra, aids in creating a definite understanding of the facets correlating with groundwater restoration. Subsistence channels, arising as an outcome of the created impoundment structures, are tested for their impact on income gains and livelihood improvement. Examination on collected opinion was carried out to provide insights into the ‘before’ and ‘after’ (2015–2023) conditions. A five‐capitals framework has been employed for the interpretation of these results, along with a multivariate analysis to predict a causal framework for the improvement of livelihoods in agrarian economies through creation of check dams and watershed management. Time series study shows that there is greater variance in the NDVI progressively from 2021 to 2023 with values ranging from 0.25 to 0.50 in 2015, to 0.50–0.75 by 2021. Further increase in green patches in 2023 indicates enhanced vegetation health especially in the northern regions. Alternately, NDWI values elaborate initial severe water stress (−0.25 to 0.00) with progressive improvements in localized areas. The spatial variation map shows that eventually there is a notable improvement with more land supporting shrubbery along with more water bodies. The prominent increase in vegetation particularly in the later years can be attributed to water management initiatives undertaken in Raleras. The distributions of the annual average revenue from agricultural operations in 2015 (M = 146,907, SD = 95445.8) and 2023 (M = 706860.5, SD = 655748.3) showed a statistically significant improvement [ t (214) = 13.06, p \u003C 0.001]. The low p ‐value of 0.001205 ( p \u003C 0.05) of the educational facilities utilised indicates a statistically significant result, proving the association between educational quality and improved water facilities. All of the variables under evaluation, including the respondents' vehicle type, landholding type, and house type, have large and positive chi‐squared values, suggesting that the ‘before’ and ‘after’ distributions for each of these variables differ. Principal Component Analysis is used to summarise correlated livelihood indicators and reveals that income growth and livelihood improvement is multi‐dimensional. Multiple pathways to income change are identified through Partial Least Squares Regression, including agriculture and market‐linked channels. A Random Forest Regression Model is utilised to assess the relative importance of livelihood channels and baseline characteristics. Results indicate that improvement in irrigation access, crop diversification, housing quality, livestock ownership and female literacy are strongly associated with higher income gains. Hence, it may be said that the groundwater recharge as a result of construction of check dams must have improved agricultural activity or agricultural output in a material manner, and accordingly all capitals for Raleras have improved.","从社会经济视角来看，探究可持续水资源能否真正维持农村生计具有重要意义。基于历史研究可知，地下水等韧性经济指标的改善往往与社会经济进步及农村生计的其他方面相关联。马哈拉施特拉邦拉莱拉斯村影响生计维持与改善的因素程度，有助于明确理解与地下水恢复相关的各个维度。作为所建蓄水设施产物的生计渠道，其对面收入增长和生计改善的影响得到了检验。对收集到的意见进行了考察，以深入了解“之前”和“之后”（2015—2023年）的状况。研究采用了五资本框架来解读这些结果，并结合多变量分析，预测通过修建拦水坝和流域管理来改善农业经济生计的因果框架。时间序列研究表明，从2021年到2023年，NDVI的变异性逐渐增大，2015年数值范围为0.25至0.50，到2021年升至0.50至0.75。2023年绿色斑块进一步增加，表明植被健康状况改善，尤其是在北部地区。另一方面，NDWI值显示初期存在严重的水分胁迫（−0.25至0.00），后在局部地区逐步改善。空间变异图显示，最终出现了显著改善，更多土地能够支持灌木生长，同时水体也有所增加。植被的显著增加，尤其是在后期，可归因于拉莱拉斯村所实施的水资源管理举措。2015年（M = 146,907，SD = 95445.8）和2023年（M = 706860.5，SD = 655748.3）农业经营年均收入的分布显示出统计学上显著的改善[t(214) = 13.06，p \u003C 0.001]。所利用教育设施的p值为0.001205（p \u003C 0.05），表明结果具有统计学显著性，证明了教育质量与改善的供水设施之间的关联。所有受评估变量，包括受访者的车辆类型、土地持有类型和房屋类型，均具有较大且正向的卡方值，表明这些变量各自的“之前”和“之后”分布存在差异。","Natural Resources Forum","2026-10-07T00:00:00Z",73,{"impact":111,"substance":259,"depth":33,"authority":114,"freshness":115,"relevant":99,"comment":260},22,"以机器学习与遥感数据量化印度半干旱村庄水资源可持续性对生计的影响，方法扎实、结论具体，但属境外案例研究，对国内三农信息化仅有方法借鉴价值。",[262],{"name":255,"url":252},[264,265,21,22,266],"乡村振兴","机器学习","灌溉农业",{"code":268,"slug":269,"name":270,"path":271,"parent_code":272},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[274],{"code":42,"slug":191,"name":275,"path":276,"parent_code":277},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":279,"locked":14,"version":27,"method":28,"evidence":280},"classified",{"candidates":281,"agricultural_evidence":34},[282,288,292,298,303],{"code":268,"score":283,"supported":34,"title":284,"abstract":286,"tags":287},9,[285],"machine learning",[],[265],{"code":42,"score":115,"supported":34,"title":289,"abstract":290,"tags":291},[],[46,191],[21,266],{"code":293,"score":59,"supported":34,"title":294,"abstract":295,"tags":297},"C",[],[296],"livestock",[],{"code":299,"score":99,"supported":14,"title":300,"abstract":301,"tags":302},"G",[],[],[264],{"code":32,"score":99,"supported":14,"title":304,"abstract":305,"tags":306},[],[],[22],[308,309],"Raleras 马哈拉施特拉 水资源","check dam 地下水 生计","Raleras马哈拉施特拉水资源-4527","10.1111\u002F1477-8947.70100",{"doi":311,"openalex_id":313,"authors":314,"venue":255,"cited_by_count":15,"oa_url":9,"card":324,"direction":329,"ingested_from":96},"W7220922038",[315,318,320,322],{"name":316,"orcid":317},"Papiya Deb","https:\u002F\u002Forcid.org\u002F0000-0002-6554-5111",{"name":319,"orcid":9},"Roopsha Deb",{"name":321,"orcid":9},"Udaysinh Bhosale",{"name":323,"orcid":9},"Vemula Sai Vikas",{"tldr":325,"method":326,"finding":327,"direction":95,"opportunity":328},"用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。","NDVI\u002FNDWI遥感、五资本框架、多元分析与卡方检验，2015–2023数据。","水管理举措显著提升植被覆盖与农业收入，教育设施改善与水资源改善显著相关。","可结合遥感时序与农户调查，量化水利工程对生计的因果效应并推广至其他半干旱区。","农业人工智能与决策模型","2026-10-09T23:30:50.079298Z",{"id":332,"title":333,"url":334,"summary":335,"summary_zh":336,"content":9,"source_name":337,"source_url":334,"published_at":338,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":339,"score_detail":340,"sources":343,"tags":345,"primary_topic":348,"secondary_topics":352,"classification":358,"search_phrases":385,"slug":388,"view_count":99,"doi":389,"paper":390,"created_at":408},4030,"Enhancing Drought Monitoring Using Integrated Remote Sensing and Ground-Based Indices","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jastp.2026.106987","ABSTRACT Accurate and timely drought monitoring is essential for sustainable water resource management, particularly in semi-arid regions where meteorological observations are sparse and spatially heterogeneous. This study presents an integrated evaluation of drought conditions by applying established individual and composite drought indices within a unified multi-source framework that combines ground-based meteorological data with satellite-derived datasets, including MODIS land surface products and GPM\u002FTRMM precipitation estimates, and is implemented on the Google Earth Engine platform. A set of drought indicators representing vegetation condition, thermal stress, precipitation deficit, and soil moisture variability was analyzed alongside five composite indices to provide a multi-dimensional assessment of drought dynamics. The analysis was conducted across monthly, seasonal, and annual timescales for Tehran, Iran, over the period 2000–2022. In addition, trend significance was assessed using the Mann–Kendall test and Sen’s slope estimator to quantify long-term changes in drought behavior. The results indicate that composite indices provide a more coherent representation of drought evolution and are more effective in capturing the interaction among key climatic drivers. In particular, the analysis reveals a transition from precipitation-driven droughts (e.g., 2008 and 2016) to increasingly temperature-driven drought conditions (e.g., 2022), associated with elevated potential evapotranspiration and thermal stress. This highlights the growing importance of atmospheric evaporative demand in intensifying drought severity under warming conditions. From an applied perspective, the proposed framework supports drought early warning, spatial risk assessment, and informed decision-making in water resource management and agricultural planning. However, the reliability of the results depends on data quality, spatial resolution, and the representation of key drought drivers and should therefore be interpreted with these limitations in mind. The study demonstrates that the integrated application of multi-source data and multi-scale drought indices provides a robust basis for understanding and monitoring drought dynamics in semi-arid urban environments.","准确的干旱监测对于可持续水资源管理至关重要，尤其是在气象观测稀疏且空间异质性强的半干旱地区。本研究在统一的多源框架内，应用已有的单一和综合干旱指数对干旱状况进行综合评估，该框架将地面气象数据与卫星遥感数据集（包括MODIS地表产品和GPM\u002FTRMM降水估算）相结合，并在Google Earth Engine平台上实现。研究分析了表征植被状况、热胁迫、降水亏缺和土壤湿度变率的干旱指标集以及五种综合指数，以对干旱动态进行多维评估。分析在月、季和年尺度上针对伊朗德黑兰2000—2022年期间开展。此外，采用Mann–Kendall检验和Sen斜率估计器评估趋势显著性，以量化干旱行为的长期变化。结果表明，综合指数能更一致地表征干旱演变，且更能有效捕捉关键气候驱动因子之间的相互作用。具体而言，分析揭示了从降水驱动型干旱（如2008年和2016年）向日益增强的温度驱动型干旱（如2022年）的转变，这与潜在蒸散和热胁迫升高有关。这凸显了在变暖条件下大气蒸发需求在加剧干旱严重程度方面日益重要的作用。从应用角度看，所提出的框架可支持干旱预警、空间风险评估以及水资源管理和农业规划中的知情决策。然而，结果的可靠性取决于数据质量、空间分辨率以及关键干旱驱动因子的表征，因此在解读时应考虑这些局限性。本研究表明，多源数据与多尺度干旱指数的综合应用为理解和监测半干旱城市环境中的干旱动态提供了稳健基础。","Journal of Atmospheric and Solar-Terrestrial Physics","2026-10-01T00:00:00Z",74,{"impact":341,"substance":112,"depth":33,"authority":114,"freshness":115,"relevant":99,"comment":342},14,"多源遥感与地面指数融合的干旱监测框架，方法扎实、结论有新意，但属区域案例研究，产业影响有限。",[344],{"name":337,"url":334},[346,21,22,347,121],"农业气象","Google Earth Engine",{"code":50,"slug":349,"name":350,"path":351,"parent_code":277},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[353,357],{"code":32,"slug":354,"name":355,"path":356,"parent_code":272},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":42,"slug":191,"name":275,"path":276,"parent_code":277},{"status":279,"locked":14,"version":27,"method":28,"evidence":359},{"candidates":360,"agricultural_evidence":34},[361,366,370,375,379],{"code":50,"score":362,"supported":34,"title":363,"abstract":364,"tags":365},16,[130],[132,130],[346,121],{"code":32,"score":114,"supported":34,"title":367,"abstract":368,"tags":369},[39],[38],[347,22],{"code":42,"score":13,"supported":34,"title":371,"abstract":372,"tags":374},[],[46,47,373],"evapotranspiration",[21],{"code":204,"score":51,"supported":34,"title":376,"abstract":377,"tags":378},[],[207,208],[],{"code":380,"score":59,"supported":34,"title":381,"abstract":382,"tags":384},"J1",[],[383],"农业规划",[],[386,387],"MODIS GPM 干旱指数","德黑兰 干旱监测 遥感","MODISGPM干旱指数-4030","10.1016\u002Fj.jastp.2026.106987",{"doi":389,"openalex_id":391,"authors":392,"venue":337,"cited_by_count":15,"oa_url":334,"card":403,"direction":93,"ingested_from":96},"W7215092640",[393,396,398,400],{"name":394,"orcid":395},"Hadi Siasar","https:\u002F\u002Forcid.org\u002F0000-0002-9323-4345",{"name":397,"orcid":9},"Mahboube Ebrahimi",{"name":399,"orcid":9},"Mehdi Bahrami",{"name":401,"orcid":402},"Hossein Hamidifar","https:\u002F\u002Forcid.org\u002F0000-0001-9054-0120",{"tldr":404,"method":405,"finding":406,"direction":93,"opportunity":407},"整合遥感与地面数据，在GEE上评估德黑兰2000–2022年多尺度干旱动态。","MODIS、GPM\u002FTRMM与气象数据，构建5种复合干旱指数，Mann-Kend","复合指数更一致；干旱由降水驱动转向温度驱动，蒸散需求加剧干旱。","可引入机器学习融合多源指数，提升半干旱区干旱预警的时空精度与驱动归因。","2026-10-02T23:30:24.756475Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":414,"content":9,"source_name":415,"source_url":412,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":417,"score_detail":418,"sources":420,"tags":422,"primary_topic":425,"secondary_topics":426,"classification":427,"search_phrases":443,"slug":446,"view_count":139,"doi":447,"paper":448,"created_at":471},3898,"Climate change and human activities reshape the water-food-ecology nexus and water-economy decoupling in oasis cities of the Hexi corridor, China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2026.115599","In arid oasis systems, water allocation links agricultural production, ecological stability, and regional economic development, making the water-food-ecology (WFE) nexus highly sensitive to hydroclimatic stress and human activities. Yet county-scale evidence remains limited on how hydroclimatic and socioeconomic changes are associated with WFE interactions and water-economy decoupling in inland oasis cities. Focusing on the Hexi Corridor, we integrate multi-decadal hydroclimatic records, remote sensing ecological indicators, and county-level socioeconomic, water use, and crop data. Tapio decoupling, temporally purged and spatially blocked random-forest validation, Grey relational analysis (GRA), exploratory two-way fixed-effects piecewise path analysis, and scenario-based reliability-resilience-vulnerability assessment were combined to characterize water-economy relationships, crop–water associations, WFE interactions, and management outcomes. During 1981–2024, annual mean 2-m air temperature increased significantly by 0.038 °C\u002Fyear, annual precipitation showed a weak increase of 0.349 mm\u002Fyear, and December SPEI-12 decreased significantly by 0.0476\u002Fyear, indicating a deteriorating climatic water balance under pronounced warming. Strong water-economy decoupling emerged before 2020 and was associated with declining water use intensity, while industrial decoupling showed greater interannual variability during 2020–2022. Random-forest performance was moderate under temporal validation (R 2 = 0.673) and weaker under spatial validation (R 2 = 0.441), indicating stronger temporal generalization than spatial transferability. Crop composition showed pronounced spatial heterogeneity and county-specific similarity with agricultural water use. Piecewise path analysis revealed scale-dependent associations among socioeconomic activity, water use, hydroclimatic conditions, and vegetation. Within counties, land surface temperature (LST) was negatively associated with normalized difference vegetation index (NDVI), while surface water use was positively associated with vegetation condition and SPEI-12 was negatively associated with agricultural water use in the primary specification. Scenario results showed that agricultural-demand reduction and coordinated measures improved water-system reliability and resilience, whereas groundwater constraints applied alone increased unmet demand. These findings support differentiated local implementation within basin-scale governance and provide a transferable diagnostic workflow for comparable arid inland basins, although local parameters and management outcomes require region-specific recalibration.","在干旱绿洲系统中，水资源分配将农业生产、生态稳定与区域经济发展联系起来，使水—粮食—生态（WFE）纽带对水文气候胁迫和人类活动高度敏感。然而，关于内陆绿洲城市水文气候和社会经济变化如何与WFE相互作用及水—经济脱钩相关联的县域尺度证据仍然有限。本研究以河西走廊为对象，整合了多年代水文气候记录、遥感生态指标以及县级社会经济、用水和作物数据，综合运用Tapio脱钩模型、时间净化与空间分块的随机森林验证、灰色关联分析（GRA）、探索性双向固定效应分段路径分析以及基于情景的可靠性—恢复力—脆弱性评估，刻画水—经济关系、作物—水关联、WFE相互作用及管理成效。1981—2024年间，年平均2 m气温显著上升，速率为0.038 °C\u002F年；年降水量呈微弱增加趋势，为0.349 mm\u002F年；12月SPEI-12显著下降，速率为0.0476\u002F年，表明在显著增暖背景下气候水分平衡趋于恶化。2020年前出现了较强的水—经济脱钩，并与用水强度下降相关，而2020—2022年间产业脱钩表现出更大的年际变率。随机森林在时间验证下表现中等（R² = 0.673），在空间验证下表现较弱（R² = 0.441），表明其时间泛化能力强于空间可迁移性。作物组成表现出显著的空间异质性，并与农业用水存在县域特定的相似性。分段路径分析揭示了社会经济活动、用水、水文气候条件与植被之间尺度依赖的关联。在县域内部，地表温度（LST）与归一化植被指数（NDVI）呈负相关，而地表用水与植被状况呈正相关，且在基准设定中SPEI-12与农业用水呈负相关。情景结果表明，农业需求削减和协同措施提高了水系统的可靠性和恢复力，而单独实施地下水约束则增加了未满足需求。这些发现支持在流域尺度治理框架下进行差异化的地方实施。","Ecological Indicators","2026-09-30T00:00:00Z",78,{"impact":362,"substance":259,"depth":33,"authority":114,"freshness":283,"relevant":99,"comment":419},"基于多源数据与多种方法揭示河西走廊绿洲水-粮-生态关联及水经济脱钩，方法新颖、数据跨度长，对干旱区农业水资源管理有参考价值。",[421],{"name":415,"url":412},[54,21,22,423,424],"绿洲农业","农业用水",{"code":50,"slug":349,"name":350,"path":351,"parent_code":277},[],{"status":279,"locked":14,"version":27,"method":28,"evidence":428},{"candidates":429,"agricultural_evidence":34},[430,434,438],{"code":50,"score":111,"supported":34,"title":431,"abstract":432,"tags":433},[55],[132],[54],{"code":32,"score":43,"supported":34,"title":435,"abstract":436,"tags":437},[],[38,39],[22],{"code":42,"score":439,"supported":34,"title":440,"abstract":441,"tags":442},4,[],[46],[21],[444,445],"河西走廊 绿洲城市 水粮生态","河西走廊 农业用水 脱钩","河西走廊绿洲城市水粮生态-3898","10.1016\u002Fj.ecolind.2026.115599",{"doi":447,"openalex_id":449,"authors":450,"venue":415,"cited_by_count":15,"oa_url":412,"card":465,"direction":93,"ingested_from":96},"W7214916060",[451,453,456,458,460,462],{"name":452,"orcid":9},"Jinbo Zhang",{"name":454,"orcid":455},"Zhixiang Lu","https:\u002F\u002Forcid.org\u002F0000-0002-9954-9321",{"name":457,"orcid":9},"Jiali Xie",{"name":459,"orcid":9},"Yan Luo",{"name":461,"orcid":9},"Li Anyuan",{"name":463,"orcid":464},"Qi Feng","https:\u002F\u002Forcid.org\u002F0009-0004-6561-3331",{"tldr":466,"method":467,"finding":468,"direction":469,"opportunity":470},"整合多源数据揭示河西走廊绿洲城市水-粮-生态关系及水经济脱钩的时空特征。","多年代水文气候、遥感生态与县级社会经济数据，结合Tapio脱钩、随机森林、GRA","变暖下气候水平衡恶化，2020年前水经济强脱钩，农业需水减少与协同措施提升水系统可靠性。","农业绿色发展与碳","可探索县域尺度水-粮-生态耦合机制与脱钩政策的跨区域可迁移性及地下水约束的优化路径。","2026-10-01T23:30:28.964236Z",{"id":473,"title":474,"url":475,"summary":476,"summary_zh":477,"content":9,"source_name":478,"source_url":475,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":479,"score_detail":480,"sources":482,"tags":484,"primary_topic":488,"secondary_topics":493,"classification":494,"search_phrases":530,"slug":533,"view_count":99,"doi":534,"paper":535,"created_at":556},3870,"Livestock-driven agricultural expansion and the transformation of a dryland food system in northern Mexico","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1923361","Introduction Agricultural expansion and intensification are major drivers of land use and land cover change, with significant implications for ecosystems and natural resource sustainability. In dryland regions, the expansion of livestock-oriented production systems can drive the specialization of agricultural production systems and accelerate landscape transformation. This study examines how livestock-driven agricultural expansion is reshaping land-use patterns in the Comarca Lagunera, a major dryland food-producing region in northern Mexico and one of the country’s most important dairy basins. Methods Agricultural and livestock production trends were analyzed using official statistics, while land cover changes for 2003, 2013, and 2023 were mapped from Landsat imagery using Google Earth Engine. Future land use and land cover trajectories to 2050 were simulated under two scenarios representing the long-term historical trend and recent historical trend, using a spatially explicit model incorporating biophysical and socioeconomic drivers. Results The expansion of forage crops associated with intensive livestock production became the dominant change, primarily replacing native shrubland and food crops destined for human consumption. Between 2003 and 2023, forage crops expanded from 51 to 70% of the harvested area, while crops destined for human consumption declined from 23 to 4%. Land conversion was strongly associated with infrastructure accessibility, climatic suitability, and livestock-sector activity. Under the recent historical trend, more than 2,000 km2 of natural cover could be lost by 2050, with potential implications for water availability and ecosystem conservation in a region already affected by groundwater stress. Discussion These findings illustrate how livestock-oriented production can drive the specialization of agricultural systems and reconfigure landscapes, while highlighting the need for integrated land-use planning and water management.","引言 农业扩张与集约化是土地利用和土地覆盖变化的主要驱动力，对生态系统和自然资源可持续性具有重要影响。在干旱地区，以畜牧业为导向的生产体系扩张可推动农业生产系统的专业化，并加速景观转型。本研究考察了畜牧业驱动的农业扩张如何重塑科马卡·拉古内拉（Comarca Lagunera）的土地利用格局。该地区是墨西哥北部主要的干旱区粮食产区，也是该国最重要的奶业基地之一。方法 利用官方统计数据分析了农业和畜牧业生产趋势，同时基于Landsat影像，通过Google Earth Engine绘制了2003年、2013年和2023年的土地覆盖变化图。采用纳入生物物理和社会经济驱动因素的空间显式模型，在代表长期历史趋势和近期历史趋势的两种情景下，模拟了至2050年的未来土地利用和土地覆盖轨迹。结果 与集约化畜牧生产相关的饲草作物扩张成为主导变化，主要取代了原生灌丛和供人类消费的粮食作物。2003年至2023年间，饲草作物占收获面积的比例从51%扩大至70%，而供人类消费的作物占比从23%下降至4%。土地转换与基础设施可达性、气候适宜性和畜牧业部门活动密切相关。在近期历史趋势情景下，到2050年可能有超过2，000 km²的自然覆盖丧失，这对一个已受地下水压力影响的地区的水资源可用性和生态系统保护具有潜在影响。讨论 这些发现表明，以畜牧业为导向的生产如何推动农业系统专业化并重塑景观，同时凸显了综合土地利用规划和水资源管理的必要性。","Frontiers in Sustainable Food Systems",77,{"impact":362,"substance":259,"depth":33,"authority":114,"freshness":115,"relevant":99,"comment":481},"基于Landsat与Google Earth Engine的干旱区土地利用模拟研究，数据扎实、结论明确，对农业资源与生态管理有参考价值。",[483],{"name":478,"url":475},[485,21,22,486,487],"畜牧业","土地利用变化","干旱区农业",{"code":489,"slug":490,"name":491,"path":492,"parent_code":293},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed",[],{"status":279,"locked":14,"version":27,"method":28,"evidence":495},{"candidates":496,"agricultural_evidence":34},[497,502,508,512,516,522,526],{"code":293,"score":128,"supported":34,"title":498,"abstract":499,"tags":501},[296],[500,296],"畜牧",[485],{"code":489,"score":51,"supported":34,"title":503,"abstract":504,"tags":507},[],[505,506],"饲草","forage",[],{"code":42,"score":439,"supported":34,"title":509,"abstract":510,"tags":511},[],[46],[21],{"code":50,"score":439,"supported":34,"title":513,"abstract":514,"tags":515},[],[132],[487],{"code":517,"score":59,"supported":34,"title":518,"abstract":519,"tags":521},"C2",[],[520],"奶业",[],{"code":211,"score":99,"supported":14,"title":523,"abstract":524,"tags":525},[],[],[486],{"code":32,"score":99,"supported":14,"title":527,"abstract":528,"tags":529},[],[],[22],[531,532],"Comarca Lagunera 土地利用","墨西哥 奶牛 饲料作物","ComarcaLagunera土地利用-3870","10.3389\u002Ffsufs.2026.1923361",{"doi":534,"openalex_id":536,"authors":537,"venue":478,"cited_by_count":15,"oa_url":475,"card":551,"direction":93,"ingested_from":96},"W7214931064",[538,540,542,545,548],{"name":539,"orcid":9},"Maricruz González-Alvarado",{"name":541,"orcid":9},"Alma Mendoza-Ponce",{"name":543,"orcid":544},"Quetzalcóatl Orozco Ramírez","https:\u002F\u002Forcid.org\u002F0000-0002-3085-7406",{"name":546,"orcid":547},"Lucrecia Arellano","https:\u002F\u002Forcid.org\u002F0000-0001-6364-2447",{"name":549,"orcid":550},"Martha Bonilla‐Moheno","https:\u002F\u002Forcid.org\u002F0000-0002-2403-2002",{"tldr":552,"method":553,"finding":554,"direction":93,"opportunity":555},"研究墨西哥北部旱区畜牧驱动的农业扩张如何改变土地利用与食物系统。","用官方统计、Landsat影像与Google Earth Engine制图，并模","饲料作物占比由51%升至70%，口粮作物由23%降至4%，2050年或再损失超2000平方公里自然植","可结合遥感与水文模型，量化饲料扩张对地下水与粮食安全的耦合影响，支撑旱区土地与水协同规划。","2026-10-01T23:30:06.894840Z"]