[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3442":3,"related-3442":46},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":8,"paper":36,"created_at":45},3442,"《多因子监测实现小麦晚霜冻害大范围动态预警》——中国农科院资源区划所农业遥感团队","https:\u002F\u002Fpaper.sciencenet.cn\u002Fhtmlpaper\u002F2026\u002F9\u002F202692094936755155648.shtm","中国农科院农业资源与农业区划研究所农业遥感团队针对黄淮海平原冬小麦3至4月拔节至抽穗期频发的晚霜冻害，提出了多因子综合霜冻监测指数。该指数综合高精度气象预报和冬小麦生长进程信息，兼顾低温强度、持续时间及不同生育期敏感性，并利用遥感土壤水分数据构建非线性调节系数精准刻画湿润土壤对低温的缓冲效应。验证表明该指数对县级小麦产量具有显著指示作用，突破了气象站点的空间局限，可为农业主产区风险精细化管控和科学减灾提供技术支撑。",null,"《欧洲农学杂志（European Journal of Agronomy）》","2026-09-20T00:00:00Z","论文",10,false,82,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,23,18,14,5,1,"国家级科研团队在核心期刊提出多因子霜冻监测指数，方法新颖、验证扎实，对黄淮海主产区减灾有实用价值，值得入选。",[24],{"name":9,"url":6},[26,27,28,29,30],"农业气象","遥感监测","冬小麦","灾害预警","晚霜冻害",[32,33],"中国农科院 冬小麦 晚霜冻害","黄淮海 小麦 遥感监测","中国农科院冬小麦晚霜冻害-3442",0,{"doi":8,"openalex_id":8,"authors":37,"venue":8,"cited_by_count":35,"oa_url":8,"card":38,"direction":42,"ingested_from":44},[],{"tldr":39,"method":40,"finding":41,"direction":42,"opportunity":43},"提出多因子综合霜冻监测指数，实现黄淮海冬小麦晚霜冻害大范围动态预警。","融合高精度气象预报、小麦生长进程与遥感土壤水分，构建非线性调节系数。","该指数对县级小麦产量有显著指示作用，突破气象站点空间局限。","农业遥感与作物表型","可结合多源遥感与机器学习，构建不同作物、区域的霜冻风险动态预警与保险定损模型。","agent","2026-09-25T00:09:34.300809Z",{"total":47,"page":21,"page_size":47,"items":48},6,[49,91,123,173,222,244],{"id":50,"title":51,"url":52,"summary":53,"summary_zh":8,"content":8,"source_name":54,"source_url":52,"published_at":55,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":56,"score_detail":57,"sources":61,"tags":63,"search_phrases":67,"slug":70,"view_count":35,"doi":71,"paper":72,"created_at":90},3329,"Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104985","Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment。Agricultural Systems","Agricultural Systems","2026-09-23T00:00:00Z",84,{"impact":16,"substance":58,"depth":18,"authority":19,"freshness":59,"relevant":21,"comment":60},21,9,"基于遥感开展全国尺度涝渍胁迫非线性阈值评估，方法新颖、结论具宏观参考价值，值得进入每日精选。",[62],{"name":54,"url":52},[64,26,65,27,66],"粮食安全","作物产量","涝渍胁迫",[68,69],"全国 涝渍胁迫 作物产量 遥感","作物产量 农业气象 涝渍胁迫 粮食安全","全国涝渍胁迫作物产量遥感-3329","10.1016\u002Fj.agsy.2026.104985",{"doi":71,"openalex_id":73,"authors":74,"venue":54,"cited_by_count":35,"oa_url":8,"card":8,"direction":8,"ingested_from":89},"W7214084384",[75,77,79,81,83,85,87],{"name":76,"orcid":8},"Yi Yang",{"name":78,"orcid":8},"Shuyang Wu",{"name":80,"orcid":8},"Tianqi Ge",{"name":82,"orcid":8},"Weimin Jin",{"name":84,"orcid":8},"Hanqing Wu",{"name":86,"orcid":8},"Bofu Zheng",{"name":88,"orcid":8},"Wei Wan","openalex","2026-09-24T23:30:04.275048Z",{"id":92,"title":93,"url":94,"summary":95,"summary_zh":8,"content":8,"source_name":96,"source_url":8,"published_at":97,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":98,"score_detail":99,"sources":103,"tags":105,"search_phrases":110,"slug":113,"view_count":35,"doi":8,"paper":114,"created_at":122},3325,"MBF-HybridNet：在极端气候下仍可提前一月预测冬小麦产量的多分支AI模型——Qingdao六县R² 0.756-0.765 MAPE 4.2%","https:\u002F\u002Fbioengineer.org\u002Fnew-multi-branch-ai-model-predicts-winter-wheat-yields-weeks-before-harvest-even-under-extreme-weather\u002F","MBF-HybridNet由青岛六县研究团队开发和测试：采用多分支并行架构，包括处理日常遥感和气象数据的动态变量模块、处理年度尺度极端气候指数数据的动态ECI模块以及处理土壤属性的静态变量模块。动态模块堆叠三个二维卷积层，插入自注意力机制；静态模块独立处理土壤有机碳、阳离子交换容量、pH、砂和粘土含量。研究团队计算了九个极端气候指数（热日、热应力强度、连续热日、霜日、冷应力强度、连续冷日、强降水日、连续湿日和连续干日）用于每个生长阶段。2004至2019年留一年交叉验证，MBF-HybridNet在三个累积生长阶段的R²达到0.756-0.765，平均绝对百分比误差约为4.2%。","MBF-HybridNet 2026 (Qingdao)","2026-09-17T00:00:00Z",78,{"impact":18,"substance":16,"depth":18,"authority":100,"freshness":101,"relevant":21,"comment":102},12,8,"多分支AI融合遥感气象与极端气候指数，提前一月预测冬小麦产量且精度可靠，方法新颖、数据扎实，对农业信息化与智慧农业有较高参考价值。",[104],{"name":96,"url":94},[106,107,108,27,28,109],"智慧农业","农业人工智能","产量预测","极端气候",[111,112],"MBF-HybridNet 冬小麦 产量预测","青岛 冬小麦 遥感 极端气候","MBF-HybridNet冬小麦产量预测-3325",{"doi":8,"openalex_id":8,"authors":115,"venue":8,"cited_by_count":35,"oa_url":8,"card":116,"direction":120,"ingested_from":44},[],{"tldr":117,"method":118,"finding":119,"direction":120,"opportunity":121},"提出多分支AI模型MBF-HybridNet，融合遥感、气象与土壤数据，提前一月预测冬小麦产量。","多分支并行架构，含2D卷积、自注意力与极端气候指数，2004-2019年留一年交","在青岛六县三个累积生长阶段R²达0.756-0.765，MAPE约4.2%，极端气候下仍可提前一月预","农业人工智能与决策模型","可探索极端气候指数与深度学习结合在其他作物或区域的泛化能力，并提升可解释性。","2026-09-24T00:04:02.748442Z",{"id":124,"title":125,"url":126,"summary":127,"summary_zh":128,"content":8,"source_name":129,"source_url":126,"published_at":130,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":35,"score_detail":131,"sources":133,"tags":135,"search_phrases":138,"slug":141,"view_count":35,"doi":142,"paper":143,"created_at":172},2788,"Integrated satellite monitoring and field validation of the periodically outbursting glacier-dammed lake Nedre Demmevatnet, Norway","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fegusphere-2026-5025","Abstract. Glacial Lake Outburst Floods (GLOFs) present a significant hazard in warming alpine environments, but detailed, sub-seasonal studies of ice-dammed glacier lakes remain rare due to data scarcity. To overcome this challenge, we reconstruct nearly a decade (2016–2025) of drainage timings, outburst volumes, lake levels, and automated, machine learning-based sub-seasonal lake refilling cycles at the ice-dammed lake Nedre Demmevatnet (southwestern Norway), dammed by the glacier Rembesdalskåka, an outlet glacier of the Hardangerjøkulen ice cap. By integrating publicly available satellite and meteorological datasets, we evaluate remote sensing capabilities and establish an error budget for tracking a small and highly dynamic water body. We validate our spaceborne findings using field measurements, including water-level loggers, time-lapse cameras, a local automatic weather station, and high-resolution UAV photogrammetry, complemented by PlanetScope imagery. Combining Sentinel-1 and Sentinel-2 imagery, we constrain GLOF drainage windows to ± 2 days. Lake volume sensitivity tests revealed that while satellite outline errors are minor (2.6–4.2 %), using the static regional digital elevation model ArcticDEM (2014) causes a 25.5 % volume underestimation compared to our 2022 UAV bathymetry due to rapid ice-dam retreat and lakebed erosion. Crucially, the time gap between the last cloud-free satellite image and the GLOF introduces a relative daily volume underestimation of 1.7 %, which scales up significantly during cloudy periods. Our validated multi-sensor remote sensing approach enables valuable glaciological insights, revealing that GLOF timings shifted earlier by an average of 10 days, alongside shortened refilling periods over the past 9 years. Between 2016 and 2022, pre-GLOF lake levels reached 1236–1239 m a.s.l., closely matching the theoretical hydrostatic flotation threshold. In contrast, the 2023 event drained at approximately 1224 m a.s.l. – more than 10 m below this threshold – following a shortened melt period indicated by fewer positive degree days, possibly due to opening of subglacial channels through melt. Finally, we synthesize the workflow developed and tested on our case study into an operational framework that facilitates transferability to other rapidly changing ice-dammed lakes.","摘要：冰川湖溃决洪水（GLOFs）在变暖的高山环境中构成重大危害，但由于数据稀缺，针对冰坝冰川湖的详细次季节研究仍然很少。为克服这一挑战，我们重建了冰坝湖Nedre Demmevatnet（挪威西南部）近十年（2016—2025年）的排水时间、溃决水量、湖泊水位以及基于机器学习的自动化次季节湖泊再蓄水周期。该湖由Hardangerjøkulen冰帽的溢出冰川Rembesdalskåka所阻塞。通过整合公开可用的卫星和气象数据集，我们评估了遥感能力，并建立了追踪一个小型且高度动态水体的误差预算。我们利用实地测量验证了星载观测结果，包括水位记录仪、延时相机、当地自动气象站和高分辨率无人机摄影测量，并辅以PlanetScope影像。结合Sentinel-1和Sentinel-2影像，我们将GLOF排水窗口限定在±2天以内。湖泊体积敏感性测试表明，虽然卫星轮廓误差较小（2.6—4.2%），但由于冰坝快速退缩和湖床侵蚀，使用静态区域数字高程模型ArcticDEM（2014年）会导致体积较我们的2022年无人机测深结果低估25.5%。至关重要的是，最后一幅无云卫星影像与GLOF之间的时间间隔会导致相对日体积低估1.7%，在多云时段这一误差会显著放大。我们经过验证的多传感器遥感方法带来了有价值的冰川学认识，揭示了过去9年中GLOF发生时间平均提前了10天，同时再蓄水期缩短。2016年至2022年间，GLOF前湖泊水位达到海拔1236—1239 m，与理论静水浮力阈值密切吻合。相比之下，2023年事件在海拔约1224 m处排水——低于该阈值超过10 m——此前融化期缩短，表现为正积温日数减少，可能是由于融化导致冰下通道打开。最后，我们将本案例研究中开发和测试的工作流程综合为一个操作框架，以促进其向其他快速变化的冰坝湖推广应用。","OpenAlex","2026-09-16T00:00:00Z",{"impact":35,"substance":35,"depth":35,"authority":35,"freshness":35,"relevant":35,"comment":132},"冰川湖溃决遥感监测研究，属冰川水文与灾害领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[134],{"name":129,"url":126},[27,136,29,137],"卫星遥感","冰川湖",[139,140],"卫星遥感 灾害预警 遥感监测 冰川湖","卫星遥感 灾害预警","卫星遥感灾害预警遥感监测冰川湖-2788","10.5194\u002Fegusphere-2026-5025",{"doi":142,"openalex_id":144,"authors":145,"venue":8,"cited_by_count":35,"oa_url":166,"card":167,"direction":42,"ingested_from":89},"W7213228080",[146,148,151,154,157,160,163],{"name":147,"orcid":8},"Ronja Lappe",{"name":149,"orcid":150},"Ursula Enzenhofer","https:\u002F\u002Forcid.org\u002F0009-0005-4802-1243",{"name":152,"orcid":153},"Pascal E. Egli","https:\u002F\u002Forcid.org\u002F0000-0003-2549-8362",{"name":155,"orcid":156},"Yongmei Gong","https:\u002F\u002Forcid.org\u002F0000-0002-3839-5824",{"name":158,"orcid":159},"Liss M. Andreassen","https:\u002F\u002Forcid.org\u002F0000-0001-6494-4252",{"name":161,"orcid":162},"Andreas Kääb","https:\u002F\u002Forcid.org\u002F0000-0002-6017-6564",{"name":164,"orcid":165},"Martina Calovi","https:\u002F\u002Forcid.org\u002F0000-0002-2317-1190","https:\u002F\u002Fegusphere.copernicus.org\u002Fpreprints\u002F2026\u002Fegusphere-2026-5025\u002Fegusphere-2026-5025.pdf",{"tldr":168,"method":169,"finding":170,"direction":42,"opportunity":171},"结合卫星与实地观测重建挪威冰坝湖近十年溃决周期与水量，并建立可迁移监测框架。","Sentinel-1\u002F2、PlanetScope、UAV摄影测量、水位记录仪与气","溃决时间提前约10天，2023年溃决水位低于浮力阈值10米以上。","可将该多源遥感与误差预算框架迁移至其他冰坝湖，并探索云覆盖下水量估算的改进方法。","2026-09-17T23:30:34.612397Z",{"id":174,"title":175,"url":176,"summary":177,"summary_zh":178,"content":8,"source_name":179,"source_url":176,"published_at":180,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":181,"score_detail":182,"sources":186,"tags":188,"search_phrases":192,"slug":195,"view_count":35,"doi":196,"paper":197,"created_at":221},2674,"Bi-decadal drought assessment in Northwestern Algeria: Integrating meteorological and remote sensing indices","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-026-06526-y","Abstract Drought is an escalating hazard in arid and semi‑arid regions with significant implications for agriculture, ecosystems, and water resources. This study presents a 2003–2023 integrated assessment of meteorological and vegetation-based drought across northwest Algeria, using the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset and Moderate Resolution Imaging Spectroradiometer (MODIS) remotely‑sensed products. Meteorological drought was quantified with the Standardized Precipitation Index (SPI) approximated using standardized precipitation anomalies, at 3‑, 6‑, and 12‑month timescales, whereas vegetation and thermal stress were assessed with MODIS‑derived Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Temporal trends were evaluated using the Mann–Kendall test and Sen’s slope estimator, and relationships between precipitation and vegetation were examined with Pearson correlation. We identified recurrent drought episodes in 2007–2009, 2011–2012, and a pronounced dry phase from 2020–2023. Mann–Kendall results indicated widespread drying across all SPI timescales, with 56% of the study area showing significant negative trends at SPI‑3 (mean Sen’s slope = − 0.10 yr⁻ 1 ). Vegetation indices mirrored these changes, with VHI showing substantially more degraded area than improvement (4.89% vs 0.51% of the domain), while VCI and TCI responses were spatially heterogeneous. The correlation analysis showed moderate but statistically significant relationships between SPI and VHI at the short-term scale (SPI-3 vs. VHI, r = 0.567, p = 0.007), followed by SPI-6 ( r = 0.509, p = 0.019), indicating that vegetation response is more strongly associated with short- to medium-term precipitation variability. These results demonstrate the value of combining meteorological and satellite vegetation indices for regional drought monitoring and early warning, and underscore an ongoing shift toward increased aridity with implications for water management and agricultural adaptation.","摘要 干旱是干旱和半干旱地区日益加剧的灾害，对农业、生态系统和水资源具有重大影响。本研究利用气候灾害组红外降水与站点数据（CHIRPS）数据集和中分辨率成像光谱仪（MODIS）遥感产品，对阿尔及利亚西北部2003—2023年气象干旱和基于植被的干旱进行了综合评估。气象干旱采用标准化降水指数（SPI）量化，该指数通过标准化降水距平在3个月、6个月和12个月时间尺度上近似计算；植被和热胁迫则通过MODIS衍生的植被状态指数（VCI）、温度状态指数（TCI）和植被健康指数（VHI）进行评估。采用Mann–Kendall检验和Sen斜率估计器评估时间趋势，并使用Pearson相关分析检验降水与植被之间的关系。我们识别出2007—2009年、2011—2012年的反复干旱事件，以及2020—2023年显著的干旱阶段。Mann–Kendall结果表明，所有SPI时间尺度上均呈现大范围干旱化趋势，研究区56%的面积在SPI-3上表现出显著负趋势（Sen斜率均值 = −0.10 yr⁻¹）。植被指数反映了这些变化，VHI显示退化面积远大于改善面积（分别占研究区的4.89%和0.51%），而VCI和TCI的响应在空间上具有异质性。相关分析表明，SPI与VHI在短期尺度上存在中等但统计显著的关系（SPI-3与VHI，r = 0.567，p = 0.007），其次为SPI-6（r = 0.509，p = 0.019），表明植被响应与短期至中期降水变率的关系更为密切。这些结果证明了结合气象指标和卫星植被指数进行区域干旱监测与预警的价值，并凸显了干旱化持续加剧的趋势及其对水资源管理和农业适应的影响。","Theoretical and Applied Climatology","2026-09-15T00:00:00Z",71,{"impact":100,"substance":58,"depth":183,"authority":184,"freshness":101,"relevant":21,"comment":185},17,13,"基于CHIRPS与MODIS的阿尔及利亚西北部20年干旱综合评估，方法整合气象与遥感指标，结论对区域干旱监测与农业适应有参考价值，但属境外区域研究，国内产业影响有限。",[187],{"name":179,"url":176},[26,189,27,190,191],"水资源管理","植被指数","干旱预警",[193,194],"水资源管理 农业气象 干旱预警 植被指数","水资源管理 农业气象","水资源管理农业气象干旱预警植被指数-2674","10.1007\u002Fs00704-026-06526-y",{"doi":196,"openalex_id":198,"authors":199,"venue":179,"cited_by_count":35,"oa_url":176,"card":216,"direction":42,"ingested_from":89},"W7213346236",[200,203,206,209,211,214],{"name":201,"orcid":202},"Ramzi Benhizia","https:\u002F\u002Forcid.org\u002F0000-0002-8967-2051",{"name":204,"orcid":205},"Brahim Abdelkebir","https:\u002F\u002Forcid.org\u002F0000-0002-8761-8537",{"name":207,"orcid":208},"Behnam Ata","https:\u002F\u002Forcid.org\u002F0000-0002-9690-7269",{"name":210,"orcid":8},"Mukovhe Vele Singo",{"name":212,"orcid":213},"Kwanele Phinzi","https:\u002F\u002Forcid.org\u002F0000-0003-1865-7011",{"name":215,"orcid":8},"György Szabó",{"tldr":217,"method":218,"finding":219,"direction":42,"opportunity":220},"整合气象与遥感指数评估阿尔及利亚西北部2003–2023年干旱演变。","CHIRPS降水与MODIS植被指数，SPI、VCI、TCI、VHI，Mann-","全区普遍变干，SPI-3显著负趋势占56%，VHI退化面积远大于改善，短期降水与植被相关性最强。","可引入机器学习融合多源遥感与气象数据，构建区域干旱预警与作物适应性决策模型。","2026-09-16T23:30:30.795285Z",{"id":223,"title":224,"url":225,"summary":226,"summary_zh":8,"content":8,"source_name":227,"source_url":8,"published_at":130,"category":228,"cover_url":8,"hotness":12,"is_selected":13,"score":229,"score_detail":230,"sources":232,"tags":234,"search_phrases":239,"slug":242,"view_count":35,"doi":8,"paper":8,"created_at":243},3414,"河北农林科学院粮油所高油酸花生新品种'冀花32'亩产超千斤——信息与经济所实现国家与省自然科学基金立项突破","http:\u002F\u002Fhebnky.com\u002Fxueshuhuodong.aspx","河北农林科学院粮油所高油酸花生产业再传捷报，新品种'冀花32'亩产超千斤。信息与经济所召开2026年河北省小麦产业经济政策暨京津冀产业协同发展研讨会，并在国家和省自然科学基金立项中实现突破。同期开展的学术活动包括：经作所青工委举办2026年度第一期青年学术论坛；植保所邀请北华航天工业学院专家到所开展遥感AI技术与小麦病害监测学术交流；国家甘薯产业技术体系首席科学家李强一行到植保所调研指导。","河北省农林科学院 2026-09-16","报道",60,{"impact":18,"substance":19,"depth":12,"authority":184,"freshness":20,"relevant":21,"comment":231},"省级农科院多项成果与学术活动汇编，冀花32亩产超千斤及遥感AI病害监测有信息价值，但属综合通稿、时效偏旧，难入每日精选。",[233],{"name":227,"url":225},[235,27,236,237,238],"种业振兴","高油酸花生","冀花32","产业协同",[240,241],"河北农科院 冀花32 高油酸花生","遥感AI 小麦病害监测","河北农科院冀花32高油酸花生-3414","2026-09-25T00:09:30.975369Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":8,"content":249,"source_name":250,"source_url":8,"published_at":10,"category":251,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":252,"sources":257,"tags":259,"search_phrases":264,"slug":267,"view_count":35,"doi":8,"paper":8,"created_at":268},3380,"农业农村部和中国气象局联合发布秋收连阴雨灾害风险预警——9月21日至28日黄淮西部及陕西南部风险高","https:\u002F\u002Fm.cnfin.com\u002Fhg-lb\u002F\u002Fzixun\u002F20260920\u002F4472515_1.html","农业农村部和中国气象局9月20日联合发布秋收连阴雨灾害风险预警：预计9月21日至28日，西北地区东南部、西南地区东部、江汉、黄淮西部及安徽北部等地降雨天气频繁，秋收连阴雨灾害风险较高；其中23日至27日，四川东北部、重庆中北部、陕西东南部、河南南部、湖北西北部、安徽西北部等地持续中到大雨，部分地区有暴雨、局地大暴雨，秋收连阴雨灾害风险高。","[![Image 1](https:\u002F\u002Fm.cnfin.com\u002Fstatic\u002Fimage\u002Flogo.png)](https:\u002F\u002Fm.cnfin.com\u002F)资讯\n\n### 农业农村部和中国气象局2026年9月20日发布秋收连阴雨灾害风险预警\n\n新华财经 2026-09-20 20:15\n\n新华财经北京9月20日电 农业农村部和中国气象局2026年9月20日发布秋收连阴雨灾害风险预警：预计9月21日至28日，西北地区东南部、西南地区东部、江汉、黄淮西部及安徽北部等地降雨天气频繁，秋收连阴雨灾害风险较高；其中23日至27日，四川东北部、重庆中北部、陕西东南部、河南南部、湖北西北部、安徽西北部等地持续中到大雨，部分地区有暴雨、局地大暴雨，秋收连阴雨灾害风险高。建议上述地区抓住降水间隙及时抢收成熟作物，并注意通风储存、烘干入仓；降水量较大地区雨后及时开沟散墒、排湿降渍，为农机作业创造适宜条件。\n\n编辑：郭洲洋\n\n声明：新华财经（中国金融信息网）为新华社承建的国家金融信息平台。任何情况下，本平台所发布的信息均不构成投资建议。如有问题，请联系客服：400-6123115\n\n去新华财经APP看全文\n\n确定 取消","新华财经\u002F中国金融信息网 2026-09-20","政策",{"impact":253,"substance":254,"depth":255,"authority":255,"freshness":47,"relevant":21,"comment":256},26,20,15,"两部委联合发布的全国性秋收气象灾害预警，区域与时段明确、农事建议具体，对黄淮及陕西南部秋收调度有直接指导价值，虽已发布5天但预警期仍在延续。",[258],{"name":250,"url":247},[260,26,261,262,263],"防灾减灾","秋收","连阴雨","抢收烘干",[265,266],"农业农村部 中国气象局 秋收连阴雨预警","黄淮 陕西南部 秋收连阴雨","农业农村部中国气象局秋收连阴雨预警-3380","2026-09-25T00:09:27.088309Z"]