[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-802":3,"related-802":57},{"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":51,"slug":54,"view_count":55,"doi":8,"paper":8,"created_at":56},802,"财政部下达17.63亿元农业防灾减灾和水利救灾资金——农业农村部启动奋战100天抗灾夺秋粮丰收行动","https:\u002F\u002Fwww.ce.cn\u002Fcysc\u002Fsp\u002Finfo\u002F202608\u002Ft20260821_3159371.shtml","财政部会同农业农村部下达农业防灾减灾和水利救灾资金17.63亿元。农业农村部副部长张兴旺介绍:今年主汛期我国极端气候事件偏多,旱涝并重,登陆台风偏多偏强,强或超强厄尔尼诺事件正在形成;秋粮种植面积稳中略增且基本种在丰产期,苗情长势比较正常,正实施奋战100天强田管抗灾害夺秋粮丰收行动。",null,"□ 本报记者 李和风\n\n农业现代化水平稳步提升、农村投资消费稳步增长、重要农产品供给量质齐升、农村改革持续深化……今年以来，农业农村经济保持稳中向好的良好势头，为整个国民经济延续总体平稳、向新向优的态势提供了有力支撑。\n\n四良融合集成增效\n\n“粮食产量稳定在1.4万亿斤左右”，是党中央为“十五五”开局之年粮食生产定下的清晰目标，彰显端牢中国饭碗的大国担当和坚定决心。我国粮食产量近年来迈上新台阶，今年夏粮生产实现开门红，离不开农业现代化水平的稳步提升。其中，良田良种良机良法集成增效，是推动农业现代化、提升粮食单产的核心策略。\n\n良田方面，近年来，我国高质量建设高标准农田，目前已累计建成超过10亿亩，为粮食产量迈上1.4万亿斤台阶发挥了基础保障作用。农业农村部发展规划司司长陈邦勋介绍，今年上半年，农业农村部会同有关部门分5批次下达了7439万亩高标准农田建设任务。狠抓规划布局、全程监管、集中整治和责任落实，确保建一块、成一块，为保障国家粮食安全夯实根基。\n\n种子是农业的“芯片”。“今年夏粮丰收来之不易，这背后既有政策好、人努力、天帮忙的因素，也有科技的加持。”农业农村部科学技术司司长周云龙说，一大批高产稳产、抗赤霉病、抗穗发芽的新品种选育推广，为小麦抗灾夺丰收提供了硬核支撑。\n\n这些优良品种的选育，是种业振兴行动成效的一个缩影。据了解，当前我国农作物自主选育面积超过95%，抗赤霉病小麦、抗稻飞虱水稻、国产白羽肉鸡等优良品种加快应用，蔬菜、畜禽和水产品的国产种源市场占有率分别超过91%、80%和86%。\n\n良机方面，我国大力推进农机“优机优补”，越来越多大型谷物联合收割机、水稻高速插秧机等得到推广应用，黄淮海等地粮食烘干能力大幅度提升。在种植方法方面，推广合理密植、水肥一体化等稳产增产关键技术，带动了更多农户增产增效。\n\n与此同时，农业科技体制改革深入推进。“在农业农村部主责的国家农业重大科技项目中，企业牵头或参与的比例已经超过50%，让市场和用户直接检验攻关成效。”周云龙介绍，在科产融合方面，农业农村部门一方面强化企业在科技创新中的主体地位，另一方面发挥好现代农业产业技术体系和基层农技推广体系的作用，推动科产深度融合与成果加速落地。\n\n乡村产业蓬勃兴旺\n\n发展乡村产业，是促进农业增效、农民增收的重要途径。今年以来，各地立足乡村特色资源，做好“土特产”文章，乡村产业发展取得积极成效。\n\n农业农村部数据显示，上半年，第一产业增加值31522亿元，同比增长3.7%；规模以上农副食品加工业增加值同比增长4.8%，特别是果蔬和肉类加工业发展较快。据监测，上半年全国农业产业化国家重点龙头企业采购经理指数（PMI）为55.1%，整体保持在扩张区间。\n\n农业农村部农村经济研究中心副研究员来晓东认为，这些数据反映出我国乡村产业发展整体呈现“根基牢固、链条延伸、规模扩张”的特征趋势。\n\n农业基本盘进一步夯实。粮食和重要农产品供给保障能力不断提升，中国人的饭碗端得越来越牢，有效发挥了“稳定器”和“压舱石”作用。\n\n农业产业链进一步延伸。农业现代化大产业建设取得积极成效，农业产业链延链、补链、强链协同发力，产业链供应链韧性和竞争力切实增强。果蔬、肉类加工业快速发展，表明我国多元化食物供给体系更加完善，居民食物消费正在由主食型转向更加注重肉、蛋、奶、水产品、果蔬等多元化食物消费。\n\n农业企业示范效应增强。PMI指数保持在50%以上的扩张区间，体现了龙头企业在强化供应链管理和产业链“补短板”中的韧性，有能力、有实力更好带动农民合作社、家庭农场融入产业链。\n\n数据喜人的同时，乡村休闲旅游、农村电商等新产业新业态加快发展，乡村旅游总收入保持较快增长，节庆赛事、非遗体验等新消费场景不断拓展，乡村消费潜力进一步释放。据国家统计局统计，上半年农村居民人均可支配收入达到12699元，同比实际增长5.5%，增速比城镇居民增速快2.1个百分点。\n\n农业农村部帮扶司司长许健民表示，农业农村部将加力推动乡村产业高质量发展，大力发展现代种养业、因地制宜发展乡村特色产业、做大做强农产品加工业、大力培育新产业新业态、健全联农带农机制，让农民更多分享产业链增值收益，让产业振兴成为强县富民兴村的重要支撑。\n\n防灾减灾力保秋粮\n\n秋粮是全年粮食生产的大头，约占全年粮食总产量的四分之三。当前正值秋粮产量形成关键期，作物面积、长势备受关注。\n\n农业农村部副部长张兴旺介绍，当前秋粮形势总体不错：秋粮种植面积基本落地，预计稳中略增，而且基本种在了丰产期。各地深入推进大面积单产提升，集成推广水肥一体化、“一喷多促”等多项措施，整体秋粮苗情长势比较正常。\n\n但夺取秋粮丰收还要迈过多个关口。从自然条件来看，气象灾害是影响秋粮产量的主要原因之一。据气象部门预测，今年主汛期我国极端气候事件偏多，旱涝并重，登陆台风偏多偏强。值得注意的是，强或超强厄尔尼诺事件正在形成，农业防灾减灾形势不容乐观。\n\n具体作物方面，农业农村部大豆玉米带状复合种植专家指导组成员、四川农业大学教授刘卫国分析，目前，全国大部分地区的夏播玉米生长处于吐丝至灌浆期，大豆处于开花结荚期，水肥需求量大且对外界环境最为敏感。持续降雨会引起部分低洼农田积水，导致作物根系缺氧，易引发早衰。高温干旱既影响玉米吐丝授粉，又抑制大豆开花授粉和荚果形成，增加落花落荚、空荚秕粒风险。另外，高温高湿环境易导致病虫害暴发蔓延。\n\n为此，刘卫国建议，面对渍涝，应全力排涝降渍，可提前疏通田间围沟、腰沟、厢沟及外围排水渠，确保“旱能浇、涝能排”。面对高温干旱，有水源和灌溉条件的地区应优先保障处于开花结荚期大豆及抽雄吐丝期玉米的水分供应。还要注意防范旱涝急转，局地强降雨后立即疏通沟渠、排除积水，渍后抓住晴好天气及时防治病虫害。\n\n据了解，近日，财政部会同农业农村部下达了农业防灾减灾和水利救灾资金17.63亿元。同时，农业农村部正在实施奋战100天强田管抗灾害夺秋粮丰收行动，重点关注秋粮中后期田间管理、单产提升和防灾减灾，全力夺取秋粮和全年粮食丰收。","中国经济网 2026年8月21日","2026-08-21T00:00:00Z","政策",10,true,91,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},28,22,18,14,9,1,"全国性农业防灾减灾政策，含具体资金数额与行动部署，信息量大，权威性高，时效性强。",[25],{"name":10,"url":6},[27,28,29,30,31],"防灾减灾","奋战100天","财政部","中央财政资金","秋粮丰收",{"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],{"code":33,"score":47,"supported":14,"title":48,"abstract":49,"tags":50},12,[27],[27],[27],[52,53],"中央财政资金 秋粮丰收 防灾减灾 奋战100天","中央财政资金 秋粮丰收","中央财政资金秋粮丰收防灾减灾奋战100天-802",7,"2026-08-22T00:05:56.664066Z",{"total":58,"page":22,"page_size":58,"items":59},6,[60,120,192,244,308,414],{"id":61,"title":62,"url":63,"summary":64,"summary_zh":8,"content":65,"source_name":66,"source_url":8,"published_at":67,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":68,"score_detail":69,"sources":73,"tags":75,"primary_topic":79,"secondary_topics":80,"classification":81,"search_phrases":114,"slug":117,"view_count":118,"doi":8,"paper":8,"created_at":119},203,"农业农村部召开全国秋粮生产现场推进会 强调统筹抓好田间管理和农业防灾减灾救灾","https:\u002F\u002Fwww.moa.gov.cn\u002Fxw\u002Fzxfb\u002F202608\u002Ft20260803_6486409.htm","农业农村部近日在山东德州召开全国秋粮生产现场推进会,要求全力做好农业防灾减灾救灾工作,努力夺取秋粮和全年粮食丰收。会议部署扎实推进奋战100天强田管抗灾害夺秋粮丰收行动,分作物分区域落实肥水管理、一喷多促等措施;落实汛期农业防灾减灾预案,盯牢暴雨洪涝、干旱、高温热害、台风等灾害,加强监测预警;盯紧水稻二化螟和两迁害虫、玉米螟和南方锈病等重大病虫害,推进统防统治、联防联控、应急防控。河北、内蒙古等13个粮食主产省(区)作了重点交流发言。会议代表观摩了德州市陵城区吨半粮建设和禹城市大豆玉米带状复合种植示范现场。","据农业农村部8月3日消息,农业农村部近日在山东德州召开全国秋粮生产现场推进会。会议指出,当前全国进入防汛抗旱关键期,也是秋粮产量形成关键期。要深刻认识抓好秋粮田管和防灾减灾的重要性紧迫性,切实增强责任感使命感,盯紧盯牢关键环节,落实落细关键措施,全面夯实秋粮生产基础。\n\n会议强调,要扎实推进奋战100天强田管抗灾害夺秋粮丰收行动,分作物分区域落实肥水管理、一喷多促等措施,促进苗情转化升级。要落实汛期农业防灾减灾预案,盯牢暴雨洪涝、干旱、高温热害、台风等灾害,加强监测预警,及早防范应对,用好农业生产救灾资金,最大程度减轻灾害损失。要盯紧水稻二化螟和两迁害虫、玉米螟和南方锈病等重大病虫害,推进统防统治、联防联控、应急防控,全力打好重大病虫害防控攻坚战。\n\n会议代表观摩了德州市陵城区吨半粮建设和禹城市大豆玉米带状复合种植示范现场。31个省(区、市)农业农村部门、新疆生产建设兵团、北大荒农垦集团、部分大面积单产提升整建制推进市县,以及农业农村部相关司局和直属单位代表参加会议。","农业农村部新闻办公室 2026-08-03","2026-08-03T00:00:00Z",87,{"impact":17,"substance":70,"depth":71,"authority":71,"freshness":21,"relevant":22,"comment":72},20,15,"全国性秋粮生产政策会议，强调防灾减灾与田间管理，信息权威且时效性强。",[74],{"name":66,"url":63},[76,27,77,78,28],"农业农村部","秋粮生产","重大病虫害",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":41,"version":42,"method":43,"evidence":82},{"candidates":83,"agricultural_evidence":14},[84,90,97,103,109],{"code":33,"score":19,"supported":14,"title":85,"abstract":86,"tags":89},[27],[27,87,88],"干旱","洪涝",[27],{"code":91,"score":92,"supported":14,"title":93,"abstract":94,"tags":96},"A1",3,[],[95],"水稻",[],{"code":98,"score":92,"supported":14,"title":99,"abstract":100,"tags":102},"A3",[],[101],"玉米",[],{"code":104,"score":92,"supported":14,"title":105,"abstract":106,"tags":108},"A4",[],[107],"大豆",[],{"code":110,"score":22,"supported":41,"title":111,"abstract":112,"tags":113},"J4",[],[],[77],[115,116],"农业农村部 重大病虫害 秋粮生产 防灾减灾","农业农村部 重大病虫害","农业农村部重大病虫害秋粮生产防灾减灾-203",17,"2026-08-04T23:54:45.182880Z",{"id":121,"title":122,"url":123,"summary":124,"summary_zh":125,"content":8,"source_name":126,"source_url":123,"published_at":127,"category":128,"cover_url":8,"hotness":13,"is_selected":41,"score":129,"score_detail":130,"sources":132,"tags":134,"primary_topic":138,"secondary_topics":144,"classification":151,"search_phrases":172,"slug":175,"view_count":129,"doi":176,"paper":177,"created_at":191},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","论文",0,{"impact":129,"substance":129,"depth":129,"authority":129,"freshness":129,"relevant":129,"comment":131},"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。",[133],{"name":126,"url":123},[27,135,136,137],"遥感监测","洪水风险评估","GIS应用",{"code":139,"slug":140,"name":141,"path":142,"parent_code":143},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[145,150],{"code":146,"slug":147,"name":148,"path":149,"parent_code":143},"I4","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":152},{"candidates":153,"agricultural_evidence":14},[154,160,166],{"code":139,"score":71,"supported":14,"title":155,"abstract":157,"tags":159},[156],"remote sensing",[158,156],"遥感",[135],{"code":146,"score":20,"supported":14,"title":161,"abstract":163,"tags":165},[162],"GIS",[164,162],"地理信息",[],{"code":33,"score":167,"supported":14,"title":168,"abstract":169,"tags":171},8,[],[87,170],"drought",[136,27],[173,174],"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":176,"openalex_id":178,"authors":179,"venue":126,"cited_by_count":129,"oa_url":183,"card":184,"direction":188,"ingested_from":190},"W7222885988",[180],{"name":181,"orcid":182},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":185,"method":186,"finding":187,"direction":188,"opportunity":189},"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。","农业遥感与作物表型","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。","openalex","2026-10-19T23:30:24.356743Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":8,"content":197,"source_name":198,"source_url":8,"published_at":199,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":200,"sources":202,"tags":204,"primary_topic":209,"secondary_topics":210,"classification":211,"search_phrases":239,"slug":242,"view_count":22,"doi":8,"paper":8,"created_at":243},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。","## 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",{"impact":17,"substance":18,"depth":118,"authority":71,"freshness":21,"relevant":22,"comment":201},"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。",[203],{"name":198,"url":195},[205,27,206,207,208],"粮食安全","厄尔尼诺","秋冬种","秋粮收获",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":41,"version":42,"method":43,"evidence":212},{"candidates":213,"agricultural_evidence":14},[214,218,224,229,234],{"code":33,"score":55,"supported":14,"title":215,"abstract":216,"tags":217},[],[87,88],[27],{"code":219,"score":92,"supported":14,"title":220,"abstract":221,"tags":223},"A2",[],[222],"小麦",[],{"code":104,"score":92,"supported":14,"title":225,"abstract":226,"tags":228},[],[227],"油菜",[],{"code":110,"score":230,"supported":41,"title":231,"abstract":232,"tags":233},2,[],[],[207,208],{"code":235,"score":22,"supported":41,"title":236,"abstract":237,"tags":238},"A8",[],[],[205],[240,241],"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",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":8,"source_name":250,"source_url":247,"published_at":251,"category":128,"cover_url":8,"hotness":13,"is_selected":41,"score":252,"score_detail":253,"sources":257,"tags":259,"primary_topic":262,"secondary_topics":263,"classification":265,"search_phrases":289,"slug":292,"view_count":129,"doi":293,"paper":294,"created_at":307},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",68,{"impact":167,"substance":254,"depth":118,"authority":255,"freshness":21,"relevant":22,"comment":256},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。",[258],{"name":250,"url":247},[205,27,135,260,261],"植被指数","农业干旱",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[264],{"code":139,"slug":140,"name":141,"path":142,"parent_code":143},{"status":40,"locked":41,"version":42,"method":43,"evidence":266},{"candidates":267,"agricultural_evidence":14},[268,274,278,283],{"code":33,"score":19,"supported":14,"title":269,"abstract":270,"tags":273},[170],[271,272,87,170],"气候变化","气候适应",[27],{"code":139,"score":167,"supported":14,"title":275,"abstract":276,"tags":277},[],[158,156],[260,135],{"code":235,"score":55,"supported":14,"title":279,"abstract":280,"tags":282},[],[205,281],"food security",[205],{"code":146,"score":58,"supported":14,"title":284,"abstract":285,"tags":288},[],[286,287],"空间分析","spatial analysis",[],[290,291],"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","10.1002\u002Fagg2.70475",{"doi":293,"openalex_id":295,"authors":296,"venue":250,"cited_by_count":129,"oa_url":247,"card":302,"direction":188,"ingested_from":190},"W7221455809",[297,299],{"name":298,"orcid":8},"Murad Hedo Haji",{"name":300,"orcid":301},"Karuturi Venkata Suryabhagavan","https:\u002F\u002Forcid.org\u002F0000-0003-2528-9106",{"tldr":303,"method":304,"finding":305,"direction":188,"opportunity":306},"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。","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。","2026-10-12T23:30:24.342375Z",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":313,"content":8,"source_name":314,"source_url":311,"published_at":315,"category":128,"cover_url":8,"hotness":13,"is_selected":14,"score":316,"score_detail":317,"sources":320,"tags":322,"primary_topic":324,"secondary_topics":325,"classification":332,"search_phrases":390,"slug":393,"view_count":92,"doi":394,"paper":395,"created_at":413},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":19,"substance":318,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":319},23,"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。",[321],{"name":314,"url":311},[205,27,271,135,323],"干旱风险",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[326],{"code":327,"slug":328,"name":329,"path":330,"parent_code":331},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",{"status":40,"locked":41,"version":42,"method":43,"evidence":333},{"candidates":334,"agricultural_evidence":14},[335,341,348,352,357,364,371,376,382,386],{"code":33,"score":336,"supported":14,"title":337,"abstract":338,"tags":340},19,[170],[271,87,339,170],"climate change",[271,27],{"code":327,"score":21,"supported":14,"title":342,"abstract":343,"tags":347},[],[344,345,346],"高粱","sorghum","millet",[],{"code":235,"score":55,"supported":14,"title":349,"abstract":350,"tags":351},[],[205,281],[205],{"code":98,"score":58,"supported":14,"title":353,"abstract":354,"tags":356},[],[101,355],"maize",[],{"code":358,"score":58,"supported":14,"title":359,"abstract":360,"tags":363},"H2",[],[361,362],"土壤","soil",[],{"code":365,"score":58,"supported":14,"title":366,"abstract":367,"tags":370},"H3",[],[368,369],"灌溉","irrigation",[],{"code":104,"score":92,"supported":14,"title":372,"abstract":373,"tags":375},[],[374],"花生",[],{"code":377,"score":92,"supported":14,"title":378,"abstract":379,"tags":381},"I1",[],[380],"smart agriculture",[],{"code":146,"score":92,"supported":14,"title":383,"abstract":384,"tags":385},[],[162],[],{"code":139,"score":22,"supported":41,"title":387,"abstract":388,"tags":389},[],[],[135],[391,392],"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":394,"openalex_id":396,"authors":397,"venue":314,"cited_by_count":129,"oa_url":311,"card":407,"direction":412,"ingested_from":190},"W7214399028",[398,401,404],{"name":399,"orcid":400},"Theophilus Francis Kofitio","https:\u002F\u002Forcid.org\u002F0009-0000-7147-6581",{"name":402,"orcid":403},"Peace Korshiwor Amoatey","https:\u002F\u002Forcid.org\u002F0000-0002-2794-9721",{"name":405,"orcid":406},"Evans Asenso","https:\u002F\u002Forcid.org\u002F0000-0003-3116-6356",{"tldr":408,"method":409,"finding":410,"direction":188,"opportunity":411},"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":415,"title":416,"url":417,"summary":418,"summary_zh":8,"content":419,"source_name":420,"source_url":8,"published_at":421,"category":422,"cover_url":8,"hotness":13,"is_selected":41,"score":423,"score_detail":424,"sources":426,"tags":428,"primary_topic":433,"secondary_topics":435,"classification":437,"search_phrases":448,"slug":451,"view_count":230,"doi":8,"paper":8,"created_at":452},3115,"河南农科院发布夏玉米收获期连阴雨风险应急管理措施——2026 年河南玉米生产遭遇\"穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险\"三重灾害","https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-114024.html","河南省农业科学院发布《夏玉米收获期连阴雨风险应急管理措施》：当前 9-16 河南夏玉米处于灌浆中后期，豫南南阳大面积乳线处于 1\u002F2 阶段、豫中漯河许昌处于 1\u002F3-1\u002F2 阶段、豫北新乡鹤壁焦作处于 1\u002F4 阶段。今年河南玉米生产过程遭遇\"穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险\"灾害导致部分区域秃尖、茎基腐、南方锈病部分发生、霉变可能加重。8 月 10-12 日台风\"白海豚\"影响河南，漯河、许昌、平顶山、周口连续 2 天降雨量超 300mm 部分超 400mm。省气象局预测 9 月 19 日起本轮降雨持续至 28 日，针对豫南连阴雨风险较大区域应进行适期晚获和抢时抢收。","当前（9月16日），我省夏玉米处于灌浆中后期，豫南（南阳区域）大面积乳线处于1\u002F2阶段，豫中（漯河、许昌）大面积乳线处于1\u002F3-1\u002F2阶段，豫北（新乡、鹤壁、焦作）大面积乳线处于1\u002F4阶段。豫南基本处于蜡熟期，但距离生理成熟晚熟期还有10-15天左右时间，豫北处于蜡熟初期，距离晚熟期还有15-20天时间。全省玉米距离完全成熟，粒重达到最大均需一定时间。\n\n同时，不同区域均存在零星收获现象，主要是零散小户，受降雨、施肥不足、密度过大等影响，存在部分区域青枯病和早衰现象（漯河部分区域淹水时间较长田块等），大户种植管理措施到位，目前大部分叶片持绿性较好，后期灌浆时间较长，籽粒充实潜力仍较大。\n\n2026年我省玉米生产过程整体良好，好于去年。2026年春季雨水较为充沛，玉米播种期墒情全省整体较好，保障了玉米一播全苗、苗期苗壮。6月18-7月15日，全省近一个月雨水较少，多数地区出现旱情，主要是南阳和驻马店点地区，7月15日后我省大部分区域呈多点短时强降雨情况，旱情得到较大缓解，8月10-12日，台风“白海豚”影响我省，全省较大范围带来强降雨，特别是漯河、许昌、平顶山、周口地区连续2天降雨量超过300mm，部分区域超过400mm，玉米被淹时间超过3天。9月份以来，我省大部分地区土壤偏旱，大多数田块需要浇灌灌浆水，其中，9月8-9日，受冷空气影响，全省降温10-15℃，短暂降温后温度恢复。\n\n根据省气象局预测，预计今年“三秋”期间我省降水呈北少南多分布，气温整体偏高，天气条件整体有利于玉米后期灌浆成熟和收获晾晒。预计9月中下旬，北部、中西部、南部降水量较常年同期偏多；19日起有我省大部地区连阴雨天气，预计持续至28日。此次持续降雨过程将造成光照不足、田间湿度加大，易产生灌浆受阻、病害加重、成熟籽粒霉变等风险。\n\n因此，2026年玉米生产过程遇到“穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险”灾害，导致部分区域秃尖、茎基腐，南方锈病部分发生，霉变有可能加重等风险。\n\n9月19日起的本轮降雨，会较大程度环节旱情，更有利于下一茬小麦播种，针对我省不同熟期玉米应分类施策，进行适期晚获和抢时抢收。\n\n一、针对豫南连阴雨风险较大区域，该区域玉米大部分进入蜡熟期，玉米籽粒乳线即将消失、基部黑层出现，即将达到收获标准的田块，连阴雨极易造成穗部发芽和霉变风险。这类田块，应抓住19日降水开始前的窗口期或降雨间歇突击抢收，土壤湿软地块优先调集履带式收割机。密切关注天气变化，抢抓晴好天气及时收获。在机械无法完全进入的区域，可组织人工辅助抢收，最大限度降低损失。确保能收尽收，颗粒归仓。\n\n二、针对豫中豫北未达到蜡熟期地块，大部分玉米还未到蜡熟期（乳线1\u002F2），粒重达到最大粒重的70-80%左右，灌浆还在继续。连续阴雨天气会降低植株光合能力，影响籽粒灌浆。建议雨后及时疏通田间沟渠，排涝降渍。低洼地块备好抽排设备，雨后第一时间排净明水，缩短根系泡水时间；严防根系渍害、烂根早衰，保障玉米正常灌浆。二是强化灾后恢复和营养加强，谨防病害蔓延。茎基腐、穗腐病和南方锈病具有进一步加重风险，利用降雨间歇期可最后一次喷施叶面肥，增强营养补偿，提高群体健康程度。直到9月28日，本轮降雨结束后，乳线消失、黑层出现后适期晚收。\n\n三、收获后果穗与籽粒储存。收获后的玉米果穗和籽粒及时进行烘干和晾晒。若采用机械烘干，根据烘干玉米规模和用途不同，选择分段式烘干和连续式烘干设备。若选择自然晾晒，则需抓住晴朗窗口期，将果穗或籽粒平摊晾晒，摊薄散热、定时翻堆通风，防止堆温升高、受潮霉变、发芽变质。待籽粒含水量降至14%以下才能安全储藏。","河南省农业科学院","2026-09-16T00:00:00Z","报道",78,{"impact":70,"substance":18,"depth":118,"authority":255,"freshness":58,"relevant":22,"comment":425},"省级科研机构针对2026年河南夏玉米三重灾害发布的分类应急管理措施，含具体生育期数据与操作建议，专业性和实用性较强，但时效已过一周。",[427],{"name":420,"url":417},[27,429,430,431,432],"河南省农科院","夏玉米","连阴雨","适期晚收",{"code":98,"slug":355,"name":101,"path":434,"parent_code":331},"\u002Ftopic\u002Ffield-crops\u002Fmaize",[436],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":438},{"candidates":439,"agricultural_evidence":14},[440,444],{"code":98,"score":47,"supported":14,"title":441,"abstract":442,"tags":443},[101],[101],[430],{"code":33,"score":47,"supported":14,"title":445,"abstract":446,"tags":447},[87],[87],[27],[449,450],"河南农科院 夏玉米 连阴雨","河南 夏玉米 应急管理措施","河南农科院夏玉米连阴雨-3115","2026-09-22T00:05:36.506567Z"]