[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3171":3,"related-3171":107},{"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":24,"tags":28,"primary_topic":34,"secondary_topics":40,"classification":41,"search_phrases":84,"slug":87,"view_count":88,"doi":89,"paper":90,"created_at":106},3171,"WATER RESOURCES – AN IMPORTANT FACTOR IN HUMAN LIFE AND SUSTAINABLE DEVELOPMENT","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22882203","This thesis discusses the importance of water resources for human life, agriculture, industry and environmental sustainability. Today, climate change, population growth, urbanization and increasing water demand in different economic sectors have made the rational and efficient use of water resources an increasingly important issue. In Central Asia, particularly in Uzbekistan, limited water availability requires improving irrigation efficiency, reducing water losses and expanding modern water-saving technologies. The study examines the main areas of water use, protection of water quality, water conservation in agriculture, wastewater reuse, groundwater protection and the application of digital technologies in water management. Under the conditions of Uzbekistan, drip and sprinkler irrigation, modernization of irrigation canals, automated water accounting, remote sensing and geographic information systems can contribute significantly to improving the efficiency and sustainability of water resources management.","本论文探讨了水资源对人类生活、农业、工业及环境可持续性的重要意义。当今，气候变化、人口增长、城市化以及各经济部门用水需求的不断增加，使水资源的合理高效利用成为日益重要的议题。在中亚地区，尤其是乌兹别克斯坦，水资源可利用量有限，亟需提高灌溉效率、减少水量损失并推广现代节水技术。本研究考察了水资源利用的主要领域、水质保护、农业节水、废水回用、地下水保护以及数字技术在水管理中的应用。在乌兹别克斯坦的条件下，滴灌与喷灌、灌溉渠道现代化改造、自动化水量核算、遥感与地理信息系统可显著提升水资源管理的效率与可持续性。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-21T00:00:00Z","论文",25,false,60,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,16,14,10,8,1,"聚焦乌兹别克斯坦水资源与数字灌溉技术，属农业信息化范畴，但为区域性综述论文，公共影响与信源权威度一般。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22882204",[29,30,31,32,33],"数字农业","节水灌溉","水资源管理","遥感监测","中亚农业",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[],{"status":42,"locked":14,"version":43,"method":44,"evidence":45},"classified","2026-10-22.2","rules",{"candidates":46,"agricultural_evidence":49},[47,56,64,72,79],{"code":35,"score":48,"supported":49,"title":50,"abstract":51,"tags":55},11,true,[],[52,53,54,36],"灌溉","水资源","农业节水",[31,30],{"code":57,"score":58,"supported":49,"title":59,"abstract":60,"tags":63},"I3",7,[],[61,62],"遥感","remote sensing",[32],{"code":65,"score":66,"supported":49,"title":67,"abstract":68,"tags":71},"H7",6,[],[69,70],"气候变化","climate change",[],{"code":73,"score":66,"supported":49,"title":74,"abstract":75,"tags":78},"I4",[],[76,77],"地理信息","geographic information",[],{"code":80,"score":22,"supported":14,"title":81,"abstract":82,"tags":83},"I1",[],[],[29],[85,86],"乌兹别克斯坦 节水灌溉","遥感 GIS 水资源管理","乌兹别克斯坦节水灌溉-3171",5,"10.5281\u002Fzenodo.22882203",{"doi":89,"openalex_id":91,"authors":92,"venue":10,"cited_by_count":97,"oa_url":6,"card":98,"direction":104,"ingested_from":105},"W7213866152",[93,95],{"name":94,"orcid":9},"ERGASHALIYEV MUXAMMADAZIZ",{"name":96,"orcid":9},"G'aniyev Samandar",0,{"tldr":99,"method":100,"finding":101,"direction":102,"opportunity":103},"探讨水资源对人类生活与可持续发展的重要性，并以乌兹别克斯坦为例分析节水灌溉与数字化管理。","文献综述与案例分析，涉及滴灌、喷灌、遥感、GIS和自动化水核算。","在乌兹别克斯坦，滴灌、渠道现代化、遥感与GIS可显著提升水资源管理效率与可持续性。","农业绿色发展与碳","可结合遥感与物联网，量化中亚干旱区节水灌溉对作物产量与碳排放的协同效应。","农业遥感与作物表型","openalex","2026-09-22T23:30:23.028018Z",{"total":66,"page":22,"page_size":66,"items":108},[109,171,252,317,398,477],{"id":110,"title":111,"url":112,"summary":113,"summary_zh":114,"content":9,"source_name":10,"source_url":112,"published_at":115,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":116,"score_detail":117,"sources":120,"tags":125,"primary_topic":129,"secondary_topics":130,"classification":131,"search_phrases":154,"slug":157,"view_count":150,"doi":158,"paper":159,"created_at":170},5073,"INCREASING REGIONAL ADDED VALUE THROUGH THE PROCESSING OF AGRICULTURAL PRODUCTS IN THE REPUBLIC OF KARAKALPAKSTAN","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23383466","This article examines the economic and environmental significance of using digital innovations to develop green agriculture in the Republic of Karakalpakstan. It analyzes challenges related to water scarcity, soil salinity, production costs, and the efficiency of natural resource utilization. The article highlights the potential of digital monitoring, smart irrigation, remote sensing, and data-driven management to improve agricultural production outcomes.","本文探讨了在卡拉卡尔帕克斯坦共和国利用数字创新发展绿色农业的经济与环境意义。文章分析了与水资源短缺、土壤盐渍化、生产成本以及自然资源利用效率相关的挑战。文章强调了数字监测、智能灌溉、遥感以及数据驱动管理在改善农业生产成效方面的潜力。","2026-10-15T00:00:00Z",63,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":118,"relevant":22,"comment":119},9,"聚焦乌兹别克斯坦卡拉卡尔帕克斯坦地区数字农业与盐碱地治理，属区域案例研究，对国内智慧农业与盐碱地改良有参考价值，但影响层级与信息增量有限。",[121,122],{"name":10,"url":112},{"name":123,"url":124},"SAMARALI TA’LIM VA BARQAROR INNOVATSIYALAR JURNALI","https:\u002F\u002Finnovativepublication.uz\u002Findex.php\u002Fjelsi\u002Farticle\u002Fview\u002F6404",[29,126,127,128,32],"智慧农业","智能灌溉","盐碱地治理",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":132},{"candidates":133,"agricultural_evidence":49},[134,138,145,149],{"code":35,"score":20,"supported":49,"title":135,"abstract":136,"tags":137},[],[52,53,36],[127],{"code":139,"score":58,"supported":49,"title":140,"abstract":141,"tags":144},"H2",[],[142,143],"土壤","soil",[128],{"code":57,"score":58,"supported":49,"title":146,"abstract":147,"tags":148},[],[61,62],[32],{"code":80,"score":150,"supported":14,"title":151,"abstract":152,"tags":153},2,[],[],[29,126],[155,156],"卡拉卡尔帕克斯坦 数字农业","咸海地区 盐碱地 智能灌溉","卡拉卡尔帕克斯坦数字农业-5073","10.5281\u002Fzenodo.23383466",{"doi":158,"openalex_id":160,"authors":161,"venue":10,"cited_by_count":97,"oa_url":112,"card":164,"direction":169,"ingested_from":105},"W7221970206",[162],{"name":163,"orcid":9},"Sholpan Eshimova",{"tldr":165,"method":166,"finding":167,"direction":102,"opportunity":168},"研究卡拉卡尔帕克斯坦通过农产品加工与数字创新提升区域附加值。","分析水资源短缺、土壤盐渍化等挑战，评估数字监测、智能灌溉、遥感和数据管理潜力。","数字创新可提高农业生产效率并促进绿色农业发展。","可量化数字技术对盐碱地农业附加值及资源效率的贡献，探索适配干旱区的智慧农业模式。","智慧农业 \u002F 农业物联网","2026-10-16T23:30:07.817464Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":176,"content":9,"source_name":177,"source_url":174,"published_at":178,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":179,"score_detail":180,"sources":185,"tags":187,"primary_topic":191,"secondary_topics":197,"classification":199,"search_phrases":227,"slug":230,"view_count":22,"doi":231,"paper":232,"created_at":251},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":17,"substance":181,"depth":182,"authority":183,"freshness":21,"relevant":22,"comment":184},22,18,13,"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。",[186],{"name":177,"url":174},[188,189,31,32,190],"乡村振兴","机器学习","灌溉农业",{"code":192,"slug":193,"name":194,"path":195,"parent_code":196},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[198],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":200},{"candidates":201,"agricultural_evidence":49},[202,207,211,218,223],{"code":192,"score":118,"supported":49,"title":203,"abstract":205,"tags":206},[204],"machine learning",[],[189],{"code":35,"score":21,"supported":49,"title":208,"abstract":209,"tags":210},[],[53,36],[31,190],{"code":212,"score":213,"supported":49,"title":214,"abstract":215,"tags":217},"C",3,[],[216],"livestock",[],{"code":219,"score":22,"supported":14,"title":220,"abstract":221,"tags":222},"G",[],[],[188],{"code":57,"score":22,"supported":14,"title":224,"abstract":225,"tags":226},[],[],[32],[228,229],"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":231,"openalex_id":233,"authors":234,"venue":177,"cited_by_count":97,"oa_url":9,"card":244,"direction":250,"ingested_from":105},"W7220922038",[235,238,240,242],{"name":236,"orcid":237},"Papiya Deb","https:\u002F\u002Forcid.org\u002F0000-0002-6554-5111",{"name":239,"orcid":9},"Roopsha Deb",{"name":241,"orcid":9},"Udaysinh Bhosale",{"name":243,"orcid":9},"Vemula Sai Vikas",{"tldr":245,"method":246,"finding":247,"direction":248,"opportunity":249},"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。","数字乡村与农业信息化","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":253,"title":254,"url":255,"summary":256,"summary_zh":257,"content":9,"source_name":10,"source_url":255,"published_at":258,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":259,"score_detail":260,"sources":263,"tags":265,"primary_topic":268,"secondary_topics":274,"classification":276,"search_phrases":301,"slug":304,"view_count":22,"doi":305,"paper":306,"created_at":316},4502,"THE IMPORTANCE OF IRRIGATED AGRICULTURAL LANDSCAPES IN THE FERGANA VALLEY FOR ENSURING FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23242201","This thesis analyzes the role of irrigated agricultural landscapes formed in the Uzbek part of the Fergana Valley in ensuring food security from a geographical perspective. The Fergana, Andijan, and Namangan regions were selected as the study area. The interrelationships of irrigated lands with natural-geographical conditions, water resources, soil cover, and economic activities are examined. Regional differences in the volume of agricultural production are analyzed by province. The study also highlights the impact of factors such as water scarcity, soil salinization, deterioration of land reclamation conditions, and intensive anthropogenic use on the productive potential of landscapes. The results substantiate the need for integrated management of water and land resources in the use of irrigated agro-landscapes, monitoring based on GIS and remote sensing, and the wider adoption of water-saving technologies to ensure long-term food security.","本论文从地理学视角分析了费尔干纳谷地乌兹别克斯坦部分形成的灌溉农业景观在保障粮食安全中的作用。研究选取费尔干纳、安集延和纳曼干三个地区作为研究区域，考察了灌溉土地与自然地理条件、水资源、土壤覆盖及经济活动之间的相互关系。按省域分析了农业生产总量的区域差异。研究还揭示了水资源短缺、土壤盐渍化、土地改良条件恶化以及高强度人为利用等因素对景观生产潜力的影响。研究结果证实，在利用灌溉农业景观时，有必要对水土资源实行综合管理，基于GIS和遥感进行监测，并更广泛地采用节水技术，以保障长期粮食安全。","2026-10-08T00:00:00Z",65,{"impact":17,"substance":182,"depth":261,"authority":17,"freshness":21,"relevant":22,"comment":262},15,"以费尔干纳盆地为例分析灌溉农业景观与粮食安全，涉及盐碱化、遥感监测与节水技术，对中亚农业信息化有参考价值，但地域性较强。",[264],{"name":10,"url":255},[266,30,32,190,267],"粮食安全","盐碱化治理",{"code":269,"slug":270,"name":271,"path":272,"parent_code":273},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[275],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":277},{"candidates":278,"agricultural_evidence":49},[279,284,288,292,296],{"code":269,"score":261,"supported":49,"title":280,"abstract":282,"tags":283},[281],"food security",[266,281],[266],{"code":35,"score":21,"supported":49,"title":285,"abstract":286,"tags":287},[],[52,53],[190,30],{"code":57,"score":58,"supported":49,"title":289,"abstract":290,"tags":291},[],[61,62],[32],{"code":139,"score":66,"supported":49,"title":293,"abstract":294,"tags":295},[],[142,143],[],{"code":73,"score":213,"supported":49,"title":297,"abstract":298,"tags":300},[],[299],"GIS",[],[302,303],"费尔干纳盆地 灌溉农业","乌兹别克斯坦 粮食安全","费尔干纳盆地灌溉农业-4502","10.5281\u002Fzenodo.23242201",{"doi":305,"openalex_id":307,"authors":308,"venue":10,"cited_by_count":97,"oa_url":255,"card":311,"direction":104,"ingested_from":105},"W7220934542",[309],{"name":310,"orcid":9},"Boratov Alijon",{"tldr":312,"method":313,"finding":314,"direction":104,"opportunity":315},"分析费尔干纳谷地灌溉农业景观对粮食安全的作用及区域差异。","地理学分析结合GIS与遥感监测，评估水土资源与农业生产。","水资源短缺、土壤盐渍化等威胁景观生产力，需综合管理水土地资源。","可结合遥感与GIS构建盐渍化与灌溉效率动态监测模型，支撑节水决策。","2026-10-09T23:30:25.704297Z",{"id":318,"title":319,"url":320,"summary":321,"summary_zh":322,"content":9,"source_name":323,"source_url":320,"published_at":324,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":325,"score_detail":326,"sources":329,"tags":331,"primary_topic":335,"secondary_topics":339,"classification":345,"search_phrases":374,"slug":377,"view_count":22,"doi":378,"paper":379,"created_at":397},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":19,"substance":327,"depth":182,"authority":183,"freshness":21,"relevant":22,"comment":328},21,"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。",[330],{"name":323,"url":320},[332,31,32,333,334],"农业气象","Google Earth Engine","干旱预警",{"code":65,"slug":336,"name":337,"path":338,"parent_code":39},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[340,344],{"code":57,"slug":341,"name":342,"path":343,"parent_code":196},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":346},{"candidates":347,"agricultural_evidence":49},[348,354,358,364,368],{"code":65,"score":18,"supported":49,"title":349,"abstract":351,"tags":353},[350],"drought",[352,350],"干旱",[332,334],{"code":57,"score":183,"supported":49,"title":355,"abstract":356,"tags":357},[62],[61],[333,32],{"code":35,"score":20,"supported":49,"title":359,"abstract":360,"tags":363},[],[53,361,362],"water resource","evapotranspiration",[31],{"code":139,"score":66,"supported":49,"title":365,"abstract":366,"tags":367},[],[142,143],[],{"code":369,"score":213,"supported":49,"title":370,"abstract":371,"tags":373},"J1",[],[372],"农业规划",[],[375,376],"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":378,"openalex_id":380,"authors":381,"venue":323,"cited_by_count":97,"oa_url":320,"card":392,"direction":104,"ingested_from":105},"W7215092640",[382,385,387,389],{"name":383,"orcid":384},"Hadi Siasar","https:\u002F\u002Forcid.org\u002F0000-0002-9323-4345",{"name":386,"orcid":9},"Mahboube Ebrahimi",{"name":388,"orcid":9},"Mehdi Bahrami",{"name":390,"orcid":391},"Hossein Hamidifar","https:\u002F\u002Forcid.org\u002F0000-0001-9054-0120",{"tldr":393,"method":394,"finding":395,"direction":104,"opportunity":396},"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":399,"title":400,"url":401,"summary":402,"summary_zh":403,"content":9,"source_name":10,"source_url":401,"published_at":404,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":405,"score_detail":406,"sources":409,"tags":413,"primary_topic":416,"secondary_topics":417,"classification":419,"search_phrases":461,"slug":464,"view_count":22,"doi":465,"paper":466,"created_at":476},2422,"IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN KHORESM REGION","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734293","This article analyzes the impact of climate change on agriculture in the Khorezm region and its main trends. The study takes into account the natural and climatic conditions of the region, the high dependence of agriculture on irrigation, and the characteristics of water resource use. As a result of climate change, the increase in air temperature, increased evaporation, increased risk of drought, and increased demand for water resources are assessed as the main factors affecting agricultural production. It also covers changes in temperature and humidity conditions, soil salinity, water scarcity, and their impact on the development of cotton, grain, vegetable and melon crops, and livestock. The article develops scientific and practical recommendations on priority areas for adapting agriculture in the Khorezm region to climate change, including the introduction of water-saving irrigation technologies, the use of climate-resistant crop varieties, the prevention of soil salinization, the improvement of irrigation and land reclamation systems, and the use of GIS and remote sensing technologies. The results of the study are of great importance in ensuring the sustainability of agriculture in the region and determining measures to adapt to future climate risks.","本文分析了气候变化对花剌子模地区农业的影响及其主要趋势。研究考虑了该地区的自然气候条件、农业对灌溉的高度依赖以及水资源利用特点。气候变化导致的气温升高、蒸发加剧、干旱风险增加以及对水资源需求的上升，被评估为影响农业生产的主要因素。文章还涵盖了温湿条件变化、土壤盐渍化、水资源短缺及其对棉花、粮食、蔬菜瓜类作物和畜牧业发展的影响。本文就花剌子模地区农业适应气候变化的优先方向提出了科学实用的建议，包括推广节水灌溉技术、采用抗气候胁迫的作物品种、防止土壤盐渍化、改善灌溉与土地改良系统，以及利用地理信息系统（GIS）和遥感技术。研究结果对于保障该地区农业可持续性、确定应对未来气候风险的适应措施具有重要意义。","2026-09-13T00:00:00Z",72,{"impact":261,"substance":407,"depth":18,"authority":17,"freshness":118,"relevant":22,"comment":408},20,"基于咸海周边灌溉农业区的实证研究，提出节水灌溉、抗逆品种与GIS遥感等适应对策，对干旱区农业气候适应有参考价值，但属区域性研究，影响层级有限。",[410,411],{"name":10,"url":401},{"name":10,"url":412},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734292",[69,30,32,414,415],"农业适应","土壤盐渍化",{"code":65,"slug":336,"name":337,"path":338,"parent_code":39},[418],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":420},{"candidates":421,"agricultural_evidence":49},[422,426,430,434,441,448,453,457],{"code":65,"score":182,"supported":49,"title":423,"abstract":424,"tags":425},[70],[69,352,70,350],[69],{"code":35,"score":20,"supported":49,"title":427,"abstract":428,"tags":429},[],[52,53,36,361],[30],{"code":57,"score":58,"supported":49,"title":431,"abstract":432,"tags":433},[],[61,62],[32],{"code":435,"score":66,"supported":49,"title":436,"abstract":437,"tags":440},"A6",[],[438,439],"棉花","cotton",[],{"code":442,"score":66,"supported":49,"title":443,"abstract":444,"tags":447},"B1",[],[445,446],"蔬菜","vegetable",[],{"code":212,"score":66,"supported":49,"title":449,"abstract":450,"tags":452},[],[451,216],"畜牧",[],{"code":139,"score":66,"supported":49,"title":454,"abstract":455,"tags":456},[],[142,143],[],{"code":73,"score":66,"supported":49,"title":458,"abstract":459,"tags":460},[],[76,299],[],[462,463],"土壤盐渍化 农业适应 气候变化 节水灌溉","土壤盐渍化 农业适应","土壤盐渍化农业适应气候变化节水灌溉-2422","10.5281\u002Fzenodo.22734293",{"doi":465,"openalex_id":467,"authors":468,"venue":10,"cited_by_count":97,"oa_url":401,"card":471,"direction":104,"ingested_from":105},"W7212422330",[469],{"name":470,"orcid":9},"Khalmuratov Rajabboy",{"tldr":472,"method":473,"finding":474,"direction":104,"opportunity":475},"分析气候变化对花剌子模地区农业的影响并提出适应对策。","结合区域气候与灌溉数据，评估温度、蒸发、盐渍化及作物影响。","升温、蒸发与干旱加剧威胁灌溉农业，需节水灌溉、抗逆品种及GIS遥感。","可结合遥感与GIS量化盐渍化与干旱胁迫，构建区域气候适应决策模型。","2026-09-14T23:30:24.437863Z",{"id":478,"title":479,"url":480,"summary":481,"summary_zh":482,"content":9,"source_name":483,"source_url":480,"published_at":484,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":485,"score_detail":486,"sources":488,"tags":490,"primary_topic":494,"secondary_topics":495,"classification":497,"search_phrases":513,"slug":516,"view_count":97,"doi":517,"paper":518,"created_at":544},2324,"Inferring groundwater overdraft in data-scarce arid agro-ecosystems: a semi-empirical remote sensing framework applied to the Elfeija watershed, Morocco","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffeart.2026.1914670","Introduction Small-scale irrigated agriculture in arid regions relies heavily on unmetered groundwater, creating an “invisible pumping” threat to aquifer sustainability. Monitoring these diffuse withdrawals remains a critical challenge for water governance. This study proposes a synergistic multi-sensor remote sensing workflow to infer groundwater abstraction and assess its impact on local water stress using a semi-empirical thermal-phenological model. Methods We leveraged high-resolution vegetation phenology (NDVI) from Sentinel-2 and thermal data (LST) from Landsat 8\u002F9 over the Elfeija watershed, Morocco (2020–2024). By isolating the thermal-phenological anomaly (ΔLST) between irrigated plots and natural reference areas, we translated the surface cooling effect into evapotranspiration fluxes and pumping volumes. To ensure physical plausibility and avoid circularity, the approach was constrained by independent bottom-up agronomic benchmarks alongside a multi-tier cross-comparison against global models (MOD16, ERA5-Land, GLEAM), and a rigorous Monte Carlo uncertainty propagation integrating both parametric and recharge uncertainties. Results The analysis reveals a distinct seasonal signature of irrigation. Probabilistic modeling indicates that the inferred annual pumping for 2022 (central estimates: 5.85–6.79 Mm 3 ) strongly suggests a state of severe overdraft, with a high probability (P > 80%) of exceeding the estimated renewable aquifer recharge (4.70 Mm 3 ). Furthermore, the framework successfully disentangled climatic triggers from anthropogenic forcing, capturing an anomalous, water-intensive late-season agricultural cycle in 2024. Discussion While the lack of in-situ piezometric data limits absolute ground-truthing, the multi-source convergence (global models and local infrastructure data) robustly brackets the overdraft scenario. The proposed semi-empirical inference workflow provides a scalable, cost-effective framework for data-scarce regions, offering river basin agencies a proactive tool to identify over-extraction hotspots and negotiate sustainable water quotas.","引言 干旱地区的小规模灌溉农业严重依赖未计量的地下水，对含水层可持续性构成了“隐形抽水”威胁。监测这些分散取水仍是水治理面临的关键挑战。本研究提出一种多传感器协同遥感工作流程，利用半经验热-物候模型推断地下水开采量并评估其对局部水资源压力的影响。方法 我们利用Sentinel-2的高分辨率植被物候（NDVI）和Landsat 8\u002F9的热数据（LST），覆盖摩洛哥Elfeija流域（2020—2024年）。通过分离灌溉地块与自然参照区之间的热-物候异常（ΔLST），我们将地表冷却效应转化为蒸散发通量和抽水量。为确保物理合理性和避免循环论证，该方法受到独立自下而上的农学基准约束，并与全球模型（MOD16、ERA5-Land、GLEAM）进行多层级交叉比较，同时通过严格的蒙特卡洛不确定性传播整合参数不确定性和补给不确定性。结果 分析揭示了灌溉明显的季节性特征。概率建模表明，2022年推断的年抽水量（中心估计值：5.85—6.79 Mm³）强烈提示存在严重超采状态，超过估计可再生含水层补给量（4.70 Mm³）的概率较高（P > 80%）。此外，该框架成功地将气候触发因素与人为强迫区分开来，捕捉到2024年异常的、高耗水的晚季农业周期。讨论 尽管缺乏原位测压数据限制了绝对的地面验证，但多源汇聚（全球模型和本地基础设施数据）稳健地界定了超采情景。所提出的半经验推断工作流程为数据稀缺地区提供了可扩展、成本效益高的框架，为流域机构提供了主动识别过度开采热点并协商可持续用水配额的工具。","Frontiers in Earth Science","2026-09-11T00:00:00Z",79,{"impact":182,"substance":181,"depth":182,"authority":183,"freshness":21,"relevant":22,"comment":487},"提出多源遥感半经验框架推断数据稀缺区地下水超采，方法新颖、结论可靠，对农业水资源治理有参考价值。",[489],{"name":483,"url":480},[31,32,491,492,493],"智慧灌溉","地下水超采","干旱农业",{"code":57,"slug":341,"name":342,"path":343,"parent_code":196},[496],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":498},{"candidates":499,"agricultural_evidence":49},[500,504,509],{"code":57,"score":261,"supported":49,"title":501,"abstract":502,"tags":503},[62],[61,62],[32],{"code":35,"score":48,"supported":49,"title":505,"abstract":506,"tags":508},[],[52,53,507,36,362],"蒸散发",[491,31],{"code":65,"score":213,"supported":49,"title":510,"abstract":511,"tags":512},[],[352],[],[514,515],"地下水超采 水资源管理 干旱农业 智慧灌溉","地下水超采 水资源管理","地下水超采水资源管理干旱农业智慧灌溉-2324","10.3389\u002Ffeart.2026.1914670",{"doi":517,"openalex_id":519,"authors":520,"venue":483,"cited_by_count":97,"oa_url":480,"card":539,"direction":104,"ingested_from":105},"W7212247745",[521,524,527,530,533,536],{"name":522,"orcid":523},"Rachid Amiha","https:\u002F\u002Forcid.org\u002F0000-0002-9863-6685",{"name":525,"orcid":526},"Belkacem Kabbachi","https:\u002F\u002Forcid.org\u002F0000-0003-3802-1256",{"name":528,"orcid":529},"Mohamed Ait Haddou","https:\u002F\u002Forcid.org\u002F0000-0002-0587-1230",{"name":531,"orcid":532},"Youssef Bouchriti","https:\u002F\u002Forcid.org\u002F0000-0002-8566-1451",{"name":534,"orcid":535},"Hicham Gougueni","https:\u002F\u002Forcid.org\u002F0000-0001-5340-7566",{"name":537,"orcid":538},"Mustapha Ikirri","https:\u002F\u002Forcid.org\u002F0000-0002-9971-6249",{"tldr":540,"method":541,"finding":542,"direction":104,"opportunity":543},"提出半经验遥感框架，在摩洛哥缺水灌区推断地下水超采量。","Sentinel-2 NDVI与Landsat 8\u002F9 LST构建热-物候异常，","2022年抽水量5.85–6.79 Mm³，超补给量概率超80%，呈严重超采。","可迁移至其他数据稀缺干旱区，融合多源遥感与用水配额决策支持。","2026-09-13T23:30:23.143553Z"]