[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2225":3,"related-2225":74},{"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":45,"search_phrases":69,"slug":72,"view_count":22,"doi":8,"paper":8,"created_at":73},2225,"农业农村部办公厅印发当前大豆应对高温干旱技术意见","https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm","针对东北春大豆结荚鼓粒期、黄淮海夏大豆花荚期面临的高温干旱风险,意见提出灌水调墒降温、施肥调控促壮、喷防治虫减损等三方面技术措施。明确东北南部、华北中东部、黄淮中东部等地将有5-7天35-40℃高温天气。",null,"[**中文**](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)[English](https:\u002F\u002Fenglish.moa.gov.cn\u002F)无障碍\n\n[农业农村部邮箱](https:\u002F\u002Fmail.agri.gov.cn\u002F)\n\n[](https:\u002F\u002Fwww.moa.gov.cn\u002F)搜索 \n\n*   [机构职能](https:\u002F\u002Fjcs.moa.gov.cn\u002Fjgzn\u002F)\n*   [工作动态](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgzdt\u002F)\n*   [政策解读](https:\u002F\u002Fjcs.moa.gov.cn\u002Fzcjd\u002F)\n*   [投融资管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Ftrzgl\u002F)\n*   [科研经费管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fkyjfgl\u002F)\n*   [财会资产管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fckzcgl\u002F)\n*   [农业农村投资信息](https:\u002F\u002Facpmp.agri.cn\u002Fxxgk)\n\n[机构职能](https:\u002F\u002Fjcs.moa.gov.cn\u002Fjgzn\u002F)\n\n[工作动态](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgzdt\u002F)\n\n[政策解读](https:\u002F\u002Fjcs.moa.gov.cn\u002Fzcjd\u002F)\n\n[投融资管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Ftrzgl\u002F)\n\n[科研经费管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fkyjfgl\u002F)\n\n[财会资产管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fckzcgl\u002F)\n\n[农业农村投资信息](https:\u002F\u002Facpmp.agri.cn\u002Fxxgk)\n\n当前位置：[首页](https:\u002F\u002Fwww.moa.gov.cn\u002F)>[机构](https:\u002F\u002Fwww.moa.gov.cn\u002Fjg\u002F)>[计划财务司](https:\u002F\u002Fjcs.moa.gov.cn\u002F \"计划财务司\")>滚动新闻\n\n# 当前大豆应对高温干旱技术意见\n\n日期：2026-09-11 作者：来源：农业农村部新闻办公室【字号：[大](javascript:;)[中](javascript:;)[小](javascript:;)】[打印本页](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n\n当前，东北春大豆处于结荚鼓粒期，黄淮海夏大豆处于花荚期，是大豆产量形成的关键时期，也是需水高峰期和温度敏感期。据气象部门预测，东北地区南部、华北中东部、黄淮中东部、江淮、江汉、江南北部和东部等地将有5—7天的高温天气，日最高气温35—37℃，局地可达38—40℃。为科学应对持续高温和局地干旱，提出灌水调墒降温、施肥调控促壮、喷防治虫减损等措施，最大限度减轻灾害损失。 \n\n （一）灌水调墒降温。花荚期、鼓粒期是大豆需水临界期，土壤适宜含水量在70%—80%。当田间大豆叶片卷曲萎蔫、傍晚至清晨无法恢复时，应立即启动灌溉；仅中午短时萎蔫、早晚快速舒展可暂缓浇水。优选滴灌、喷灌等节水灌溉方式，喷灌水雾可快速降低冠层温度2—4℃、提升空气湿度。严禁正午高温浇水，避免冷热温差刺激根系造成生理性失水，叶片水温急增造成灼伤。缺乏灌溉条件地块，可行间浅中耕松土，切断土壤毛细管，减少地表水分蒸发。\n\n （二）施肥调控促壮。大豆开花后，养分需求量逐步提升，高温下根系吸肥效率下降，叶面追肥见效快。花荚期重点补充尿素和磷钾肥，尿素浓度一般为1%—1.5%，磷酸二氢钾一般为0.1%—0.5%，可添加硼钼等微肥；鼓粒中后期重点补充磷钾肥。长势较弱地块可添加芸苔素、氨基酸等营养调节剂，增强植株抗性，提高抵御高温干旱能力。叶面肥、调节剂选择阴天或傍晚喷施，避开正午强光；无人机作业应加大用水量、降低飞行高度，保证叶片正反面均匀着液。\n\n （三）喷防治虫减损。高温干旱易导致红蜘蛛、蚜虫、烟粉虱、点蜂缘蝽、豆秆黑潜蝇等害虫偏重发生，可选用高效低毒低残留化学杀虫剂，如高效氯氟氰菊酯+吡虫啉+甲维·虫螨腈，或生物农药进行防治。喷药宜在清晨或傍晚进行，避开高温时段，注意药液浓度，防止药害。\n\n*   [机关子站![Image 1](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n*   [直属单位网站![Image 2](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n*   [![Image 3](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fgov-links-pic_1_03.png)](https:\u002F\u002Fwww.gov.cn\u002F)\n*   [国务院各部门网站![Image 4](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n*   [地方农业管理部门网站![Image 5](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n\n1.   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[网站声明](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Fwzsm\u002F)\n*   |\n*   [网站地图](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Fwzdt\u002F)\n*   |\n*   [联系我们](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Flxwm\u002F)\n*   |\n*   [访问分析](https:\u002F\u002Freport.moa.gov.cn\u002Freport\u002Findex.html)\n\n主办单位：中华人民共和国农业农村部 承办单位：[农业农村部信息中心](https:\u002F\u002Fwww.agri.cn\u002F)\n\n网站识别码bm21000007[京ICP备05039419号-2](https:\u002F\u002Fbeian.miit.gov.cn\u002F)最佳浏览器模式：1024*768分辨率\n\n[![Image 7](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fbajgwa_sj.png) 京公网安备 11010502037559号](https:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010502037559)\n\n网站保留所有权，未经允许不得复制镜像\n\n[](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n\n![Image 8](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002FX_goNotGov.jpg)提示信息\n\n您即将离开农业农村部门户网站，是否继续？\n\n确 定 取 消","农业农村部计划财务司","2026-09-10T16:00:00Z","政策",10,false,84,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},24,20,17,15,8,1,"农业农村部发布的全国性大豆抗高温干旱技术指导意见，含具体灌溉、施肥、用药参数，对主产区生产有直接指导价值，时效性较好，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"防灾减灾","大豆","高温干旱","病虫害防治","水肥管理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,57,62],{"code":33,"score":52,"supported":53,"title":54,"abstract":55,"tags":56},12,true,[28],[28],[28],{"code":40,"score":52,"supported":53,"title":58,"abstract":60,"tags":61},[59],"干旱",[59],[27],{"code":63,"score":64,"supported":53,"title":65,"abstract":66,"tags":68},"F3",3,[],[67],"施肥",[],[70,71],"病虫害防治 水肥管理 防灾减灾 高温干旱","病虫害防治 水肥管理","病虫害防治水肥管理防灾减灾高温干旱-2225","2026-09-13T00:03:59.238143Z",{"total":75,"page":22,"page_size":75,"items":76},6,[77,128,210,253,317,365],{"id":78,"title":79,"url":80,"summary":81,"summary_zh":8,"content":82,"source_name":83,"source_url":8,"published_at":84,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":85,"score_detail":86,"sources":91,"tags":93,"primary_topic":97,"secondary_topics":98,"classification":100,"search_phrases":122,"slug":125,"view_count":126,"doi":8,"paper":8,"created_at":127},325,"当前大豆应对高温干旱技术意见","https:\u002F\u002Fwww.moa.gov.cn\u002Fxw\u002Fzxfb\u002F202608\u002Ft20260806_6486493.htm","农业农村部8月6日发布《当前大豆应对高温干旱技术意见》。当前正值大豆结荚鼓粒期,是产量形成关键阶段,黄淮海、东北南部等主产区面临高温干旱叠加风险。意见提出以\"抗高温、促灌浆、防早衰\"为主线,因地制宜推广秸秆覆盖、行间覆膜、滴灌喷灌、浅中耕断根、叶面喷施抗旱剂等关键技术,加强病虫害监测预警与统防统治,确保秋粮稳产丰收。","当前，东北春大豆处于结荚鼓粒期，黄淮海夏大豆处于花荚期，是大豆产量形成的关键时期，也是需水高峰期和温度敏感期。据气象部门预测，东北地区南部、华北中东部、黄淮中东部、江淮、江汉、江南北部和东部等地将有5—7天的高温天气，日最高气温35—37℃，局地可达38—40℃。为科学应对持续高温和局地干旱，提出灌水调墒降温、施肥调控促壮、喷防治虫减损等措施，最大限度减轻灾害损失。\n\n（一）灌水调墒降温。花荚期、鼓粒期是大豆需水临界期，土壤适宜含水量在70%—80%。当田间大豆叶片卷曲萎蔫、傍晚至清晨无法恢复时，应立即启动灌溉；仅中午短时萎蔫、早晚快速舒展可暂缓浇水。优选滴灌、喷灌等节水灌溉方式，喷灌水雾可快速降低冠层温度2—4℃、提升空气湿度。严禁正午高温浇水，避免冷热温差刺激根系造成生理性失水，叶片水温急增造成灼伤。缺乏灌溉条件地块，可行间浅中耕松土，切断土壤毛细管，减少地表水分蒸发。\n\n（二）施肥调控促壮。大豆开花后，养分需求量逐步提升，高温下根系吸肥效率下降，叶面追肥见效快。花荚期重点补充尿素和磷钾肥，尿素浓度一般为1%—1.5%，磷酸二氢钾一般为0.1%—0.5%，可添加硼钼等微肥；鼓粒中后期重点补充磷钾肥。长势较弱地块可添加芸苔素、氨基酸等营养调节剂，增强植株抗性，提高抵御高温干旱能力。叶面肥、调节剂选择阴天或傍晚喷施，避开正午强光；无人机作业应加大用水量、降低飞行高度，保证叶片正反面均匀着液。\n\n（三）喷防治虫减损。高温干旱易导致红蜘蛛、蚜虫、烟粉虱、点蜂缘蝽、豆秆黑潜蝇等害虫偏重发生，可选用高效低毒低残留化学杀虫剂，如高效氯氟氰菊酯+吡虫啉+甲维·虫螨腈，或生物农药进行防治。喷药宜在清晨或傍晚进行，避开高温时段，注意药液浓度，防止药害。","农业农村部 2026-08-06","2026-08-06T00:00:00Z",85,{"impact":87,"substance":18,"depth":88,"authority":20,"freshness":89,"relevant":22,"comment":90},25,18,7,"农业农村部发布的大豆高温干旱应对技术意见，针对当前关键期提出具体措施，具有全国性指导意义，信息详实，权威性高。",[92],{"name":83,"url":80},[94,95,28,29,96],"农业农村部","秋粮田管","技术意见",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[99],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":101},{"candidates":102,"agricultural_evidence":53},[103,107,112,117],{"code":33,"score":52,"supported":53,"title":104,"abstract":105,"tags":106},[28],[28],[28],{"code":40,"score":108,"supported":53,"title":109,"abstract":110,"tags":111},11,[59],[59],[],{"code":113,"score":22,"supported":14,"title":114,"abstract":115,"tags":116},"G1",[],[],[96],{"code":118,"score":22,"supported":14,"title":119,"abstract":120,"tags":121},"J4",[],[],[95],[123,124],"农业农村部 技术意见 秋粮田管 高温干旱","农业农村部 技术意见","农业农村部技术意见秋粮田管高温干旱-325",4,"2026-08-09T23:54:47.191933Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":133,"content":8,"source_name":134,"source_url":131,"published_at":135,"category":136,"cover_url":8,"hotness":13,"is_selected":53,"score":137,"score_detail":138,"sources":143,"tags":145,"primary_topic":150,"secondary_topics":151,"classification":153,"search_phrases":187,"slug":190,"view_count":191,"doi":192,"paper":193,"created_at":209},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。","Big Earth Data","2026-10-21T00:00:00Z","论文",89,{"impact":139,"substance":17,"depth":140,"authority":141,"freshness":13,"relevant":22,"comment":142},22,19,14,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[144],{"name":134,"url":131},[28,146,147,148,149],"气候变化","东北农业","物候数据","遥感验证",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[152],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":154},{"candidates":155,"agricultural_evidence":53},[156,161,167,174,181],{"code":33,"score":20,"supported":53,"title":157,"abstract":159,"tags":160},[158],"soybean",[28,158],[28],{"code":40,"score":13,"supported":53,"title":162,"abstract":163,"tags":166},[],[146,164,165],"农业气象","climate change",[146],{"code":168,"score":75,"supported":53,"title":169,"abstract":170,"tags":173},"A8",[],[171,172],"粮食安全","food security",[],{"code":175,"score":75,"supported":53,"title":176,"abstract":177,"tags":180},"I3",[],[178,179],"遥感","remote sensing",[],{"code":182,"score":64,"supported":53,"title":183,"abstract":184,"tags":186},"H6",[],[185],"农业生态",[],[188,189],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569",0,"10.1080\u002F20964471.2026.2735138",{"doi":192,"openalex_id":194,"authors":195,"venue":134,"cited_by_count":191,"oa_url":131,"card":202,"direction":206,"ingested_from":208},"W7223091615",[196,199],{"name":197,"orcid":198},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":200,"orcid":201},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":203,"method":204,"finding":205,"direction":206,"opportunity":207},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","农业遥感与作物表型","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","openalex","2026-10-22T11:20:39.146445Z",{"id":211,"title":212,"url":213,"summary":214,"summary_zh":8,"content":8,"source_name":215,"source_url":8,"published_at":216,"category":217,"cover_url":8,"hotness":13,"is_selected":14,"score":218,"score_detail":219,"sources":221,"tags":223,"primary_topic":228,"secondary_topics":229,"classification":230,"search_phrases":248,"slug":251,"view_count":191,"doi":8,"paper":8,"created_at":252},5358,"太和县税镇镇皖豆 61 大豆高产示范田实收测产 亩产 313.34 公斤","https:\u002F\u002Fwww.ahnw.cn\u002Fschq\u002Fcontent\u002F2fc36d3d-4806-4599-8673-84505ed00628","2026 年 10 月 12 日,安徽省农科院专家组赴太和县税镇镇姚寨村开展现场实收测产,示范田连片面积 218 亩,前茬为小麦,选用皖豆 61 优良大豆品种。专家组现场选取 20.8 亩田块实收,折算亩产 313.34 公斤,超额实现亩产 600 斤的预定目标。集成应用密植精播、合理群体构建、精准水肥调控、一喷多促等大豆高产关键技术体系。","安徽农网 2026-10-12","2026-10-12T00:00:00Z","报道",56,{"impact":52,"substance":88,"depth":52,"authority":13,"freshness":126,"relevant":22,"comment":220},"县级示范田实收测产，数据具体、技术体系清晰，但属地方性进展且已过一周，时效与影响层级有限，可作常规资讯而非每日精选。",[222],{"name":215,"url":213},[224,28,225,226,227],"安徽","测产","高产示范","皖豆61",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":231},{"candidates":232,"agricultural_evidence":53},[233,237,243],{"code":33,"score":52,"supported":53,"title":234,"abstract":235,"tags":236},[28],[28],[28],{"code":238,"score":64,"supported":53,"title":239,"abstract":240,"tags":242},"A2",[],[241],"小麦",[],{"code":168,"score":244,"supported":14,"title":245,"abstract":246,"tags":247},2,[],[],[225,226],[249,250],"太和县 皖豆61 测产","安徽农科院 大豆 高产示范","太和县皖豆61测产-5358","2026-10-20T02:47:45.197444Z",{"id":254,"title":255,"url":256,"summary":257,"summary_zh":258,"content":8,"source_name":259,"source_url":256,"published_at":260,"category":136,"cover_url":8,"hotness":13,"is_selected":14,"score":191,"score_detail":261,"sources":263,"tags":265,"primary_topic":269,"secondary_topics":274,"classification":281,"search_phrases":299,"slug":302,"view_count":191,"doi":303,"paper":304,"created_at":316},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":191,"substance":191,"depth":191,"authority":191,"freshness":191,"relevant":191,"comment":262},"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。",[264],{"name":259,"url":256},[27,266,267,268],"遥感监测","洪水风险评估","GIS应用",{"code":175,"slug":270,"name":271,"path":272,"parent_code":273},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[275,280],{"code":276,"slug":277,"name":278,"path":279,"parent_code":273},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":282},{"candidates":283,"agricultural_evidence":53},[284,288,294],{"code":175,"score":20,"supported":53,"title":285,"abstract":286,"tags":287},[179],[178,179],[266],{"code":276,"score":141,"supported":53,"title":289,"abstract":291,"tags":293},[290],"GIS",[292,290],"地理信息",[],{"code":40,"score":21,"supported":53,"title":295,"abstract":296,"tags":298},[],[59,297],"drought",[267,27],[300,301],"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":303,"openalex_id":305,"authors":306,"venue":259,"cited_by_count":191,"oa_url":310,"card":311,"direction":206,"ingested_from":208},"W7222885988",[307],{"name":308,"orcid":309},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":312,"method":313,"finding":314,"direction":206,"opportunity":315},"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",{"id":318,"title":319,"url":320,"summary":321,"summary_zh":8,"content":322,"source_name":323,"source_url":8,"published_at":324,"category":217,"cover_url":8,"hotness":13,"is_selected":14,"score":325,"score_detail":326,"sources":329,"tags":331,"primary_topic":336,"secondary_topics":337,"classification":338,"search_phrases":360,"slug":363,"view_count":191,"doi":8,"paper":8,"created_at":364},5277,"崖州湾国家实验室+黑龙江省农科院\"崖创豆668\"在吉林梨树测产亩产416.71公斤","https:\u002F\u002Fnews.sciencenet.cn\u002Fsbhtmlnews\u002F2026\u002F10\u002F391613.shtm","崖州湾国家实验室联合国内多个科研团队,近日两款理想株型大豆新品系在山东、吉林两地实收测产丰收:山东东营盐碱地示范区\"国创豆78\"亩产404.85公斤(崖州湾实验室田志喜团队),吉林梨树试验基地\"崖创豆668\"亩产416.71公斤(崖州湾+黑龙江省农科院合作培育);为东北黑土地及同类生态区大豆高产种植提供了优质新品种。","本报讯（记者冯丽妃）近日，崖州湾国家实验室联合国内多个科研团队宣布，两款理想株型大豆新品系在山东、吉林两地实收测产丰收，亩产双双突破400公斤，为提升我国大豆产能、保障国家粮油安全提供了强有力的种源与技术支撑。\n\n此次测产中，山东东营盐碱地示范区的“国创豆78”由崖州湾国家实验室研究员田志喜团队历时8年选育，具有株型紧凑、长分枝、耐盐碱、籽粒大等特点，在盐碱叠加高温干旱的情况下，示范田刨除水分杂质后亩产达404.85公斤。专家组现场勘查后认为，该品系高产、稳产、耐盐性状突出，在同类盐碱生态区具有良好试验示范价值。\n\n与此同时，由崖州湾国家实验室大豆种子创新团队和黑龙江省农科院合作培育的高产耐密新品系“崖创豆668”在吉林梨树试验基地测产时亩产达416.71公斤，丰产潜力优异，为东北黑土地及同类生态区大豆高产种植提供了优质新品种选择。","科学网(2026-10-14)","2026-10-14T00:00:00Z",75,{"impact":139,"substance":18,"depth":141,"authority":327,"freshness":75,"relevant":22,"comment":328},13,"国家级实验室与省农科院联合培育的大豆新品系实收测产突破400公斤，数据具体、信源权威，对东北黑土地大豆产能提升有示范价值，值得进入每日精选。",[330],{"name":323,"url":320},[332,28,333,334,335],"种业振兴","黑土地","粮油安全","耐密品种",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":339},{"candidates":340,"agricultural_evidence":53},[341,345,351,355],{"code":33,"score":126,"supported":53,"title":342,"abstract":343,"tags":344},[],[28],[28],{"code":346,"score":64,"supported":53,"title":347,"abstract":348,"tags":350},"H2",[],[349],"盐碱地",[],{"code":168,"score":22,"supported":14,"title":352,"abstract":353,"tags":354},[],[],[334],{"code":356,"score":22,"supported":14,"title":357,"abstract":358,"tags":359},"F1",[],[],[332],[361,362],"崖创豆668 梨树 测产","崖州湾国家实验室 大豆","崖创豆668梨树测产-5277","2026-10-19T00:07:41.160572Z",{"id":366,"title":367,"url":368,"summary":369,"summary_zh":8,"content":370,"source_name":371,"source_url":8,"published_at":372,"category":12,"cover_url":8,"hotness":13,"is_selected":53,"score":373,"score_detail":374,"sources":378,"tags":380,"primary_topic":384,"secondary_topics":385,"classification":386,"search_phrases":411,"slug":414,"view_count":22,"doi":8,"paper":8,"created_at":415},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",91,{"impact":375,"substance":139,"depth":19,"authority":20,"freshness":376,"relevant":22,"comment":377},28,9,"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。",[379],{"name":371,"url":368},[171,27,381,382,383],"厄尔尼诺","秋冬种","秋粮收获",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":387},{"candidates":388,"agricultural_evidence":53},[389,394,398,403,407],{"code":40,"score":89,"supported":53,"title":390,"abstract":391,"tags":393},[],[59,392],"洪涝",[27],{"code":238,"score":64,"supported":53,"title":395,"abstract":396,"tags":397},[],[241],[],{"code":33,"score":64,"supported":53,"title":399,"abstract":400,"tags":402},[],[401],"油菜",[],{"code":118,"score":244,"supported":14,"title":404,"abstract":405,"tags":406},[],[],[382,383],{"code":168,"score":22,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[171],[412,413],"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"]