[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5250":3,"related-5250":82},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":77,"slug":80,"view_count":22,"doi":8,"paper":8,"created_at":81},5250,"全国秋粮收获过七成 农业农村部部署应对最强厄尔尼诺","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697848015725298214","据农业农村部10月17日农情调度,全国秋粮收获过七成(东北过六成、黄淮海和西南过八成、西北近八成、长江中下游过六成、华南过三成),冬小麦播种过一成、冬油菜过三成;针对赤道中东太平洋已发生的超强东部型厄尔尼诺,部印发防范预案部署\"秋防秋汛防旺长、冬防冻害和雨雪冰冻、春抗倒春寒干旱低温春涝、夏防干热风烂场雨洪涝台风高温\"四季防灾重点。",null,"## 全国秋粮收获过七成 农业相关部门部署应对超强厄尔尼诺保障来年粮食生产\n\n2026-10-18 11:42·[央广网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAiR6RuL6xARCa1a88UYsGDkFIn-3CItRPyJJaR4Ym4C8\u002F?source=tuwen_detail)\n\n央广网北京10月18日消息（记者朱敏 孙鲁晋）据中央广播电视总台中国之声《新闻和报纸摘要》报道，农业农村部最新农情调度显示，全国秋粮收获已过七成，冬小麦播种超一成，冬油菜播种过三成。农业农村部近日制定印发防范应对超强厄尔尼诺夺取粮食和农业丰收相关预案，各地部署应对超强厄尔尼诺有关措施，保障来年粮食生产。\n\n根据国家气候中心的监测，目前，赤道中东太平洋已经发生了一次超强的东部型厄尔尼诺事件。预计未来3个月，赤道中东太平洋海表温度将继续升高，在秋末冬初达到峰值，此次厄尔尼诺事件将成为有系统性监测以来最强厄尔尼诺事件，可能对农业生产带来风险挑战。\n\n中国农业科学院农业环境与可持续发展研究所研究员刘恩科：需重点警惕北方阶段性干旱、南方洪涝、冬春冷暖交替以及台风等多重风险叠加，相关风险可能从今年秋种持续传导至明年春耕和夏季生产。\n\n据农业农村部最新农情调度，当前秋粮收获东北过六成、黄淮海、西南过八成；西北近八成；长江中下游过六成；华南过三成。\n\n面对本轮超强厄尔尼诺，农业农村部明确今年秋季重点是防秋汛、防旺长，冬季防冻害和雨雪冰冻；明年春季抗“倒春寒”、抗干旱、抗低温春涝，夏季防“干热风”、“烂场雨”、洪涝、台风、高温等灾害。\n\n刘恩科：我国农业气象监测预警和防灾减灾体系不断完善，并且我国已建成10亿亩以上的高标准农田，国家长期的夏粮一喷三防、秋粮抗逆防灾政策，为我国农业生产争取了防灾减灾的主动权。\n\n**更多精彩资讯请在应用市场下载“央广网”客户端。欢迎提供新闻线索，24小时报料热线400-800-0088；消费者也可通过央广网“啄木鸟消费者投诉平台”线上投诉。版权声明：本文章版权归属央广网所有，未经授权不得转载。转载请联系：cnrbanquan@cnr.cn，不尊重原创的行为我们将追究责任。**","央广网(2026-10-18)","2026-10-18T00:00:00Z","政策",10,true,91,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},28,22,17,15,9,1,"全国性农情数据与部委防灾预案同步发布，信息增量足、权威性强，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","防灾减灾","厄尔尼诺","秋冬种","秋粮收获",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":41,"version":42,"method":43,"evidence":44},"classified",false,"2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":14},[46,53,60,66,72],{"code":33,"score":47,"supported":14,"title":48,"abstract":49,"tags":52},7,[],[50,51],"干旱","洪涝",[28],{"code":54,"score":55,"supported":14,"title":56,"abstract":57,"tags":59},"A2",3,[],[58],"小麦",[],{"code":61,"score":55,"supported":14,"title":62,"abstract":63,"tags":65},"A4",[],[64],"油菜",[],{"code":67,"score":68,"supported":41,"title":69,"abstract":70,"tags":71},"J4",2,[],[],[30,31],{"code":73,"score":22,"supported":41,"title":74,"abstract":75,"tags":76},"A8",[],[],[27],[78,79],"农业农村部 超强厄尔尼诺 预案","秋粮收获 冬小麦播种 农情调度","农业农村部超强厄尔尼诺预案-5250","2026-10-19T00:07:31.036094Z",{"total":83,"page":22,"page_size":83,"items":84},6,[85,165,275,318,364,450],{"id":86,"title":87,"url":88,"summary":89,"summary_zh":90,"content":8,"source_name":91,"source_url":88,"published_at":92,"category":93,"cover_url":8,"hotness":13,"is_selected":41,"score":94,"score_detail":95,"sources":100,"tags":102,"primary_topic":106,"secondary_topics":107,"classification":114,"search_phrases":143,"slug":146,"view_count":147,"doi":148,"paper":149,"created_at":164},4747,"Spatiotemporal mapping of agricultural drought using geospatial approach in the East Bale Zone, Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fagg2.70475","Abstract Agricultural drought significantly threatens food security, livelihoods, and ecosystem stability, especially in regions prone to drought, such as the East Bale zone. This study investigates the spatial and temporal patterns of agricultural drought over 30 years (1993–2024) by combining meteorological station data with satellite‐derived vegetation and thermal indices. To assess meteorological drought, the standardized precipitation index (SPI) was calculated at 3‐, 6‐, and 12‐month intervals. For agricultural and thermal stress analysis, remote sensing‐based indices including the vegetation condition index (VCI), temperature condition index, and vegetation health index (VHI) were utilized. The results indicate that the years 2003, 2008, and 2018 experienced the most severe droughts, as shown consistently across all indices. Spatial analysis revealed that the central, southern, and eastern lowland areas faced the highest frequency and severity of drought, while the northwestern highlands remained comparatively resilient. Cross‐index correlation revealed strong agreement between SPI and VCI ( R 2 = 0.77), and between VHI and VCI ( R 2 = 0.83), supporting the effectiveness of integrated drought monitoring approaches. This research advances the field of drought assessment by enhancing spatial and temporal resolution and validating cross‐index relationships at the subregional level. The results provide critical insights for localized drought early warning systems, climate adaptation strategies, and future research to improve agricultural resilience under changing climatic conditions. Hence, agricultural drought risk mapping serves as a valuable tool for guiding decision‐making in drought monitoring and for mitigating its impacts on agricultural productivity.","摘要 农业干旱严重威胁粮食安全、生计和生态系统稳定性，尤其是在东巴莱区等易旱地区。本研究结合气象站数据与卫星反演的植被和热力指数，探讨了30年（1993—2024年）间农业干旱的时空格局。为评估气象干旱，计算了3个月、6个月和12个月尺度的标准化降水指数（SPI）。在农业与热胁迫分析方面，采用了基于遥感的植被状态指数（VCI）、温度状态指数和植被健康指数（VHI）。结果表明，2003年、2008年和2018年经历了最严重的干旱，各指数均一致反映了这一情况。空间分析显示，中部、南部和东部低地地区干旱发生频率最高、程度最严重，而西北部高地则相对具有较强恢复力。跨指数相关性分析表明，SPI与VCI之间（R²=0.77）以及VHI与VCI之间（R²=0.83）具有高度一致性，支持了综合干旱监测方法的有效性。本研究通过提高时空分辨率并在次区域尺度上验证跨指数关系，推进了干旱评估领域的发展。研究结果为地方性干旱预警系统、气候适应策略以及未来研究提供了重要见解，有助于在气候变化条件下提升农业韧性。因此，农业干旱风险制图为干旱监测决策及其对农业生产影响的减缓提供了有价值的工具。","Agrosystems Geosciences & Environment","2026-10-11T00:00:00Z","论文",68,{"impact":96,"substance":97,"depth":19,"authority":98,"freshness":21,"relevant":22,"comment":99},8,21,13,"基于30年气象与遥感指数交叉验证的农业干旱时空制图研究，方法扎实、结论可靠，但属区域性案例，对国内三农信息化仅有方法借鉴价值。",[101],{"name":91,"url":88},[27,28,103,104,105],"遥感监测","植被指数","农业干旱",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[108],{"code":109,"slug":110,"name":111,"path":112,"parent_code":113},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":40,"locked":41,"version":42,"method":43,"evidence":115},{"candidates":116,"agricultural_evidence":14},[117,125,131,136],{"code":33,"score":118,"supported":14,"title":119,"abstract":121,"tags":124},18,[120],"drought",[122,123,50,120],"气候变化","气候适应",[28],{"code":109,"score":96,"supported":14,"title":126,"abstract":127,"tags":130},[],[128,129],"遥感","remote sensing",[104,103],{"code":73,"score":47,"supported":14,"title":132,"abstract":133,"tags":135},[],[27,134],"food security",[27],{"code":137,"score":83,"supported":14,"title":138,"abstract":139,"tags":142},"I4",[],[140,141],"空间分析","spatial analysis",[],[144,145],"埃塞俄比亚 East Bale 农业干旱","SPI VCI 干旱监测","埃塞俄比亚EastBale农业干旱-4747",0,"10.1002\u002Fagg2.70475",{"doi":148,"openalex_id":150,"authors":151,"venue":91,"cited_by_count":147,"oa_url":88,"card":157,"direction":161,"ingested_from":163},"W7221455809",[152,154],{"name":153,"orcid":8},"Murad Hedo Haji",{"name":155,"orcid":156},"Karuturi Venkata Suryabhagavan","https:\u002F\u002Forcid.org\u002F0000-0003-2528-9106",{"tldr":158,"method":159,"finding":160,"direction":161,"opportunity":162},"结合气象站与卫星植被热指数，绘制埃塞俄比亚East Bale区30年农业干旱时空图。","用SPI（3\u002F6\u002F12月）与遥感VCI、TCI、VHI指数做交叉相关分析。","2003、2008、2018年干旱最重，中南部和东部低地最脆弱，SPI与VCI相关性R²=0.77。","农业遥感与作物表型","可在小区域尺度融合多源指数构建干旱预警模型，并验证指数在不同作物区的适用性。","openalex","2026-10-12T23:30:24.342375Z",{"id":166,"title":167,"url":168,"summary":169,"summary_zh":170,"content":8,"source_name":171,"source_url":168,"published_at":172,"category":93,"cover_url":8,"hotness":13,"is_selected":14,"score":173,"score_detail":174,"sources":178,"tags":180,"primary_topic":182,"secondary_topics":183,"classification":190,"search_phrases":251,"slug":254,"view_count":55,"doi":255,"paper":256,"created_at":274},3542,"Drought vulnerability assessment and its severe impact on crop production and livelihood of people: An empirical modelling of northern Ghana","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pclm.0001038","Climate change is intensifying drought vulnerability in northern Ghana, posing serious risks to crop production, food security, and rural livelihoods in semi-arid regions. This study develops an empirical modelling framework to assess drought vulnerability and impacts at three temporal horizons, 2026–2050, 2051–2075, and 2076–2100, under SSP1-2.6 and SSP5-8.5 scenarios. We integrated bias-corrected outputs from five CMIP6 models, MRI-ESM2–0, EC-Earth3, IPSL-CM6A-LR, CESM2, and HadGEM3-GC31-LL, downscaled to 0.25° resolution, with drought indices including the Standardized Precipitation Index SPI, Reconnaissance Drought Index RDI, Normalized Difference Drought Index NDDI, and Soil Moisture Index SMI. These were combined with MODIS-derived Normalized Difference Vegetation Index NDVI, population density, and land use\u002Fland cover using GIS-based tools to generate composite drought vulnerability maps. CMIP6 models were validated against reference datasets and showed strong performance for annual precipitation, r = 0.95, RMSE = 3.4 mm, and temperature, r = 0.99, RMSE = 0.47–0.74°C. Results project increasing drought severity, with mean temperature rises of 2.0–3.9°C and rainfall declines up to 19% by 2100. Crop yields for maize, millet, sorghum, and groundnuts are expected to fall by 25–60% by 2050, with maize showing the strongest negative correlation to drought severity, r = –0.72, p \u003C 0.01, confirmed by Mann-Kendall trends at the 95% confidence level. About 84% of the study area is classified as highly vulnerable due to limited adaptive capacity, over 80% dependence on rain-fed agriculture, more than 49% household food insecurity, less than 23% cropland use, and under 5% water body coverage. Significant uncertainties remain in precipitation projections, with some models showing divergent temperature trends, highlighting challenges in modelling climate impacts. The findings underscore the urgent need for district-level drought preparedness, solar-powered irrigation, index insurance, climate-smart agriculture, and Disaster Risk Reduction aligned with UNDRR and Sendai Framework priorities to build resilience in northern Ghana.","气候变化正在加剧加纳北部的干旱脆弱性，对半干旱地区的作物生产、粮食安全和农村生计构成严重风险。本研究构建了一个经验建模框架，用于评估2026—2050年、2051—2075年和2076—2100年三个时间尺度下SSP1-2.6和SSP5-8.5情景中的干旱脆弱性及其影响。我们将五个CMIP6模型（MRI-ESM2–0、EC-Earth3、IPSL-CM6A-LR、CESM2和HadGEM3-GC31-LL）的偏差校正输出降尺度至0.25°分辨率，并与标准化降水指数（SPI）、侦察干旱指数（RDI）、归一化差值干旱指数（NDDI）和土壤水分指数（SMI）等干旱指数相结合。这些数据与MODIS衍生的归一化差值植被指数（NDVI）、人口密度以及土地利用\u002F土地覆盖数据通过基于GIS的工具相结合，生成综合干旱脆弱性地图。CMIP6模型经参考数据集验证，在年降水量（r = 0.95，RMSE = 3.4 mm）和温度（r = 0.99，RMSE = 0.47–0.74°C）方面表现出色。结果预测干旱严重程度将加剧，到2100年平均气温上升2.0–3.9°C，降雨量下降高达19%。到2050年，玉米、小米、高粱和花生的作物产量预计将下降25–60%，其中玉米与干旱严重程度呈最强负相关（r = –0.72，p \u003C 0.01），并经Mann-Kendall趋势检验在95%置信水平上得到证实。约84%的研究区域被归类为高度脆弱，原因包括适应能力有限、超过80%依赖雨养农业、超过49%的家庭粮食不安全、不足23%的耕地利用率以及低于5%的水体覆盖率。降水预测仍存在显著不确定性，部分模型显示出不同的温度趋势，凸显了气候影响建模的挑战。研究结果强调迫切需要开展县级干旱备灾、太阳能灌溉、指数保险、气候智慧型农业以及与UNDRR和仙台框架优先事项一致的风险减灾工作，以增强加纳北部的韧性。","PLOS Climate","2026-09-25T00:00:00Z",82,{"impact":118,"substance":175,"depth":118,"authority":176,"freshness":21,"relevant":22,"comment":177},23,14,"基于CMIP6多模型与遥感指数的干旱脆弱性实证研究，数据扎实、结论明确，对半干旱区农业防灾与气候适应有参考价值。",[179],{"name":171,"url":168},[27,28,122,103,181],"干旱风险",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[184],{"code":185,"slug":186,"name":187,"path":188,"parent_code":189},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",{"status":40,"locked":41,"version":42,"method":43,"evidence":191},{"candidates":192,"agricultural_evidence":14},[193,199,206,210,217,224,231,236,242,247],{"code":33,"score":194,"supported":14,"title":195,"abstract":196,"tags":198},19,[120],[122,50,197,120],"climate change",[122,28],{"code":185,"score":21,"supported":14,"title":200,"abstract":201,"tags":205},[],[202,203,204],"高粱","sorghum","millet",[],{"code":73,"score":47,"supported":14,"title":207,"abstract":208,"tags":209},[],[27,134],[27],{"code":211,"score":83,"supported":14,"title":212,"abstract":213,"tags":216},"A3",[],[214,215],"玉米","maize",[],{"code":218,"score":83,"supported":14,"title":219,"abstract":220,"tags":223},"H2",[],[221,222],"土壤","soil",[],{"code":225,"score":83,"supported":14,"title":226,"abstract":227,"tags":230},"H3",[],[228,229],"灌溉","irrigation",[],{"code":61,"score":55,"supported":14,"title":232,"abstract":233,"tags":235},[],[234],"花生",[],{"code":237,"score":55,"supported":14,"title":238,"abstract":239,"tags":241},"I1",[],[240],"smart agriculture",[],{"code":137,"score":55,"supported":14,"title":243,"abstract":244,"tags":246},[],[245],"GIS",[],{"code":109,"score":22,"supported":41,"title":248,"abstract":249,"tags":250},[],[],[103],[252,253],"加纳北部 干旱 玉米","CMIP6 干旱脆弱性 作物产量","加纳北部干旱玉米-3542","10.1371\u002Fjournal.pclm.0001038",{"doi":255,"openalex_id":257,"authors":258,"venue":171,"cited_by_count":147,"oa_url":168,"card":268,"direction":273,"ingested_from":163},"W7214399028",[259,262,265],{"name":260,"orcid":261},"Theophilus Francis Kofitio","https:\u002F\u002Forcid.org\u002F0009-0000-7147-6581",{"name":263,"orcid":264},"Peace Korshiwor Amoatey","https:\u002F\u002Forcid.org\u002F0000-0002-2794-9721",{"name":266,"orcid":267},"Evans Asenso","https:\u002F\u002Forcid.org\u002F0000-0003-3116-6356",{"tldr":269,"method":270,"finding":271,"direction":161,"opportunity":272},"构建干旱脆弱性经验模型，评估加纳北部未来气候情景下作物与生计影响。","集成5个CMIP6模型、SPI\u002FRDI\u002FNDDI\u002FSMI指数与MODIS NDV","至2100年升温2.0-3.9°C、降水降19%，2050年作物减产25-60%，84%区域高度脆弱","可结合遥感干旱指数与作物模型，在数据稀缺区开展多情景脆弱性动态评估与适应策略优化。","智慧农业 \u002F 农业物联网","2026-09-26T23:30:10.153994Z",{"id":276,"title":277,"url":278,"summary":279,"summary_zh":8,"content":280,"source_name":281,"source_url":8,"published_at":282,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":283,"score_detail":284,"sources":287,"tags":289,"primary_topic":292,"secondary_topics":296,"classification":298,"search_phrases":313,"slug":316,"view_count":68,"doi":8,"paper":8,"created_at":317},2008,"秋粮生产进入关键期，各地强化防灾减灾与单产提升措施","https:\u002F\u002Fwww.gov.cn\u002F","当前秋粮生产进入产量形成和灾害防范关键阶段，各地围绕水肥管理、病虫害防控和极端天气应对加强田间管理。具体措施以农业农村部门最新公开信息为准。","[![Image 1](https:\u002F\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_logo_lt.png)![Image 2](https:\u002F\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_logo_rt.png)](https:\u002F\u002Fwww.gov.cn\u002F)\n\n*   [首页](https:\u002F\u002Fwww.gov.cn\u002F)\n*   |\n*   [简](https:\u002F\u002Fwww.gov.cn\u002F)\n*   |\n*   [繁](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002F)\n*   |\n*   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涵养高尚师德师风，提升专业素质能力，努力培养担当民族复兴大任的时代新人](https:\u002F\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080532.htm)\n\n## [在第四十二个教师节到来之际 习近平向全国广大教师和教育工作者致以节日祝贺和诚挚问候](https:\u002F\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080532.htm)\n\n[习近平：新征程上，希望广大教师牢记为党育人、为国育才的初心使命，落实立德树人根本任务，大力弘扬教育家精神，涵养高尚师德师风，提升专业素质能力，努力培养担当民族复兴大任的时代新人](https:\u002F\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080532.htm)\n\n[更多 >>](https:\u002F\u002Fwww.gov.cn\u002Ftoutiao\u002F)\n\n[更多>>](https:\u002F\u002Fwww.gov.cn\u002Ftoutiao\u002F)\n\n[![Image 7](https:\u002F\u002Fwww.gov.cn\u002Fshouye\u002Fdatu\u002F202609\u002FW020260902752400018734_ORIGIN.jpg)](https:\u002F\u002Fwww.gov.cn\u002Fhome\u002Ftoutu\u002F202609\u002Fcontent_7080029.htm)\n\n#### [习近平同埃及总统塞西会谈](https:\u002F\u002Fwww.gov.cn\u002Fhome\u002Ftoutu\u002F202609\u002Fcontent_7080029.htm)\n\n[![Image 8](https:\u002F\u002Fwww.gov.cn\u002Fshouye\u002Fdatu\u002F202609\u002FW020260906305152190591_ORIGIN.jpg)](https:\u002F\u002Fwww.gov.cn\u002Fzhengce\u002Fjiedu\u002Ftujie\u002F202609\u002Fcontent_7080122.htm)\n\n#### [2026年前7个月我国服务进出口总额同比增长8.3%](https:\u002F\u002Fwww.gov.cn\u002Fzhengce\u002Fjiedu\u002Ftujie\u002F202609\u002Fcontent_7080122.htm)\n\n[![Image 9](https:\u002F\u002Fwww.gov.cn\u002Fshouye\u002Fdatu\u002F202609\u002FW020260902344352424058_ORIGIN.png)](https:\u002F\u002Fwww.gov.cn\u002Fzhengce\u002Fjiedu\u002Ftujie\u002F202609\u002Fcontent_7079905.htm)\n\n#### [2026年前7个月我国软件业务收入同比增长9.2%](https:\u002F\u002Fwww.gov.cn\u002Fzhengce\u002Fjiedu\u002Ftujie\u002F202609\u002Fcontent_7079905.htm)\n\n## [要闻](https:\u002F\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F)\n\n*   [习近平就朝鲜国庆78周年向朝鲜最高领导人金正恩致 贺电](https:\u002F\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080483.htm) \n*   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秋粮生产","单产提升秋粮生产粮食安全防灾减灾-2008","2026-09-10T00:02:33.212100Z",{"id":319,"title":320,"url":321,"summary":322,"summary_zh":8,"content":323,"source_name":324,"source_url":8,"published_at":325,"category":12,"cover_url":8,"hotness":13,"is_selected":41,"score":326,"score_detail":327,"sources":330,"tags":332,"primary_topic":335,"secondary_topics":336,"classification":337,"search_phrases":359,"slug":362,"view_count":68,"doi":8,"paper":8,"created_at":363},1332,"农业农村部党组传达学习习近平总书记重要指示精神，部署秋粮生产和农业防灾减灾救灾","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202608\u002Ft20260828_8867651.htm","8 月 28 日，农业农村部党组召开会议，传达学习习近平总书记关于巩固拓展学习教育成果和对西藏日喀则吉隆县泥石流灾害的重要指示精神。强调要加强秋粮田间管理，抓实农业防灾减灾救灾和病虫害防控，全力夺取秋粮丰收；并研究超强厄尔尼诺对今明两年农业生产的影响。","[![Image 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2026-08-28","2026-08-28T00:00:00Z",88,{"impact":17,"substance":18,"depth":118,"authority":20,"freshness":328,"relevant":22,"comment":329},5,"农业农村部部署秋粮生产与防灾减灾，政策层级高，信息量大，时效稍逊。",[331],{"name":324,"url":321},[333,28,291,334,29],"高标准农田","农业社会化服务",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":41,"version":42,"method":43,"evidence":338},{"candidates":339,"agricultural_evidence":14},[340,345,350,355],{"code":33,"score":341,"supported":14,"title":342,"abstract":343,"tags":344},12,[28],[28],[28],{"code":346,"score":22,"supported":41,"title":347,"abstract":348,"tags":349},"G2",[],[],[334],{"code":351,"score":22,"supported":41,"title":352,"abstract":353,"tags":354},"H1",[],[],[333],{"code":67,"score":22,"supported":41,"title":356,"abstract":357,"tags":358},[],[],[291],[360,361],"农业社会化服务 高标准农田 厄尔尼诺 秋粮生产","农业社会化服务 高标准农田","农业社会化服务高标准农田厄尔尼诺秋粮生产-1332","2026-09-02T00:05:02.854393Z",{"id":365,"title":366,"url":367,"summary":368,"summary_zh":369,"content":8,"source_name":370,"source_url":367,"published_at":371,"category":93,"cover_url":8,"hotness":13,"is_selected":41,"score":372,"score_detail":373,"sources":375,"tags":377,"primary_topic":382,"secondary_topics":383,"classification":390,"search_phrases":427,"slug":430,"view_count":147,"doi":431,"paper":432,"created_at":449},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":96,"substance":118,"depth":20,"authority":83,"freshness":96,"relevant":22,"comment":374},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[376],{"name":370,"url":367},[27,378,379,380,381],"小农户","气候智慧农业","农业推广","津巴布韦",{"code":73,"slug":293,"name":294,"path":295,"parent_code":189},[384,389],{"code":346,"slug":385,"name":386,"path":387,"parent_code":388},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":391},{"candidates":392,"agricultural_evidence":14},[393,397,402,406,412,416,423],{"code":73,"score":20,"supported":14,"title":394,"abstract":395,"tags":396},[134],[27,134],[27],{"code":346,"score":20,"supported":14,"title":398,"abstract":400,"tags":401},[399],"smallholder",[378,399],[378],{"code":33,"score":13,"supported":14,"title":403,"abstract":404,"tags":405},[],[122,50,197,120],[379],{"code":407,"score":47,"supported":14,"title":408,"abstract":409,"tags":411},"G1",[],[380,410],"agricultural extension",[380],{"code":211,"score":83,"supported":14,"title":413,"abstract":414,"tags":415},[],[214,215],[],{"code":417,"score":83,"supported":14,"title":418,"abstract":419,"tags":422},"G3",[],[420,421],"农村金融","rural finance",[],{"code":237,"score":55,"supported":14,"title":424,"abstract":425,"tags":426},[],[240],[],[428,429],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":431,"openalex_id":433,"authors":434,"venue":370,"cited_by_count":147,"oa_url":8,"card":443,"direction":273,"ingested_from":163},"W7223029383",[435,438,441],{"name":436,"orcid":437},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":439,"orcid":440},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":442,"orcid":8},"Patience Mutopo",{"tldr":444,"method":445,"finding":446,"direction":447,"opportunity":448},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","数字乡村与农业信息化","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z",{"id":451,"title":452,"url":453,"summary":454,"summary_zh":455,"content":8,"source_name":456,"source_url":453,"published_at":457,"category":93,"cover_url":8,"hotness":13,"is_selected":41,"score":147,"score_detail":458,"sources":460,"tags":462,"primary_topic":465,"secondary_topics":466,"classification":472,"search_phrases":488,"slug":491,"view_count":147,"doi":492,"paper":493,"created_at":505},5326,"Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.89708","Flood is one of the most important hydro-meteorological hazards affecting human settlements, agriculture, infrastructure and regional economies. Chitrakoot district of Uttar Pradesh presents a distinctive case of hydro-climatic vulnerability because it belongs to the drought-prone Bundelkhand region but simultaneously experiences recurrent riverine and flash-flood conditions during intense monsoon rainfall. The present study assesses the spatial characteristics and determinants of flood hazard and vulnerability in Chitrakoot district using an integrated geographical, GIS and remote sensing approach. The analysis incorporates the Digital Elevation Model (DEM), drainage network, physiography, river proximity, historical flood information, satellite-based flood observations and socio-economic exposure. The district's DEM indicates a marked elevation gradient, approximately from 66 m to 451 m, with relatively higher terrain in the southern part and lower terrain towards the northern Yamuna valley. This topographic configuration facilitates rapid surface runoff from elevated southern terrain towards comparatively low-lying riverine areas. The drainage system is dominated by the Yamuna and Mandakini\u002FPaisuni systems along with Baghain, Gunta, Bardaha and smaller tributaries. The Uttar Pradesh Flood Hazard Atlas identifies 5,114 ha of flood-hazard area in Chitrakoot for 1998–2020, of which 4,129 ha (81%) falls in the very-low hazard category and 985 ha (19%) in the low-hazard category. However, the historical classification does not fully represent the potential consequences of extreme rainfall events. The August 2026 flood provides compelling evidence: the Mandakini at Chitrakoot reached a reported new high flood level of 145.60 m on 29 August 2026, approximately 2.95 m above the previous reported high level, while the water level rose by about 7.5 m within six hours. The study concludes that flood risk in Chitrakoot is spatially concentrated around river corridors, low-elevation areas, floodplains, agricultural land, settlements and tourism infrastructure. A shift from conventional relief-oriented flood management towards integrated floodplain regulation, watershed management, GIS-based risk zonation, real-time monitoring and community-based preparedness is therefore essential.","洪水是影响人类住区、农业、基础设施和区域经济的最重要的水文气象灾害之一。北方邦吉德古德（Chitrakoot）县在水文气候脆弱性方面呈现出独特案例，因为它属于易受干旱影响的本德尔坎德（Bundelkhand）地区，但同时在强季风降雨期间反复遭遇河流洪水和山洪状况。本研究采用地理学、地理信息系统（GIS）和遥感相结合的综合方法，评估吉德古德县洪水灾害与脆弱性的空间特征及其决定因素。分析纳入了数字高程模型（DEM）、河网、地貌、距河流远近、历史洪水信息、基于卫星的洪水观测以及社会经济暴露度。该县的DEM显示出明显的高程梯度，大约从66米到451米，南部地形相对较高，向北部的亚穆纳（Yamuna）河谷地势降低。这种地形格局促使地表径流从较高的南部地形快速流向相对低洼的河流区域。排水系统以亚穆纳河和曼达基尼\u002F派苏尼（Mandakini\u002FPaisuni）水系为主，另有巴盖恩（Baghain）、贡塔（Gunta）、巴尔达哈（Bardaha）及较小支流。北方邦洪水灾害图集确认，1998—2020年吉德古德县洪水灾害面积为5，114公顷，其中4，129公顷（81%）属于极低灾害类别，985公顷（19%）属于低灾害类别。然而，历史分类并不能充分反映极端降雨事件的潜在后果。2026年8月的洪水提供了有力证据：据报道，2026年8月29日吉德古德的曼达基尼河达到145.60米的新高洪水位，比此前报告的高水位高出约2.95米，而水位在六小时内上升了约7.5米。研究得出结论，吉德古德的洪水风险在空间上集中于河流廊道、低海拔地区、洪泛平原、农业用地、住区和旅游基础设施周围。因此，必须从传统的以救济为导向的洪水管理转向洪泛平原综合调控、流域管理、基于GIS的风险区划、实时监测和社区为基础的备灾。","International Journal For Multidisciplinary Research","2026-10-17T00:00:00Z",{"impact":147,"substance":147,"depth":147,"authority":147,"freshness":147,"relevant":147,"comment":459},"该研究聚焦印度北方邦的洪水灾害评估，虽涉及GIS与遥感方法，但与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[461],{"name":456,"url":453},[28,103,463,464],"洪水风险评估","GIS应用",{"code":109,"slug":110,"name":111,"path":112,"parent_code":113},[467,471],{"code":137,"slug":468,"name":469,"path":470,"parent_code":113},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":473},{"candidates":474,"agricultural_evidence":14},[475,479,484],{"code":109,"score":20,"supported":14,"title":476,"abstract":477,"tags":478},[129],[128,129],[103],{"code":137,"score":176,"supported":14,"title":480,"abstract":481,"tags":483},[245],[482,245],"地理信息",[],{"code":33,"score":96,"supported":14,"title":485,"abstract":486,"tags":487},[],[50,120],[463,28],[489,490],"Chitrakoot 洪水风险 GIS","Yamuna 洪水脆弱性 遥感","Chitrakoot洪水风险GIS-5326","10.36948\u002Fijfmr.2026.v08i05.89708",{"doi":492,"openalex_id":494,"authors":495,"venue":456,"cited_by_count":147,"oa_url":499,"card":500,"direction":161,"ingested_from":163},"W7222885988",[496],{"name":497,"orcid":498},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":501,"method":502,"finding":503,"direction":161,"opportunity":504},"用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。","DEM、河网、历史洪水与卫星观测及社会经济数据叠加分析。","洪水风险集中于河谷低地、农田与居民点，历史分级低估极端降雨风险。","可结合时序遥感与水文模型，构建极端降雨情景下的农田洪涝风险动态制图与预警。","2026-10-19T23:30:24.356743Z"]