黄河上游干流库坝群段多灾种大数据预警平台研究

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中图分类号：TV62；TV882.1 文献标志码：A doi：10.3969/j.issn.1000-1379.2025.07.007引用格式：，，，等.黄河上游干流库坝群段多灾种大数据预警平台研究[J].人民黄河，2025，47（7）：40-44.

Multi-Disaster Big Data Early Warning Platform for Reservoir and Dam Groups Section of the Upper Reaches of the Yellow River

XU Lukai 1，2 ，YU Guoqing1²，LI Shuxia1，²， ZHENG Yuanxun³， ZHANG Ye4，WANG Chaolei 1，2 （20号 （1.Yellow River Institute of Hydraulic Research，YRCC， Zhengzhou 45oo03， China; 2.Research Center on Levee Safety Disaster Prevention，MWR， Zhengzhou 45O003，China; 3.College of Water Conservancy and Transportation， Zhengzhou Univeristy，Zhengzhou 45Ooo1，China;

4.State KeyLaboratoryofEcoHydraulicEngineringinNorthwestAridRegion，Xi'anUniversityofTechnology，Xi'an748，Cina）

Abstract：Thegeological structureof theupper YelowRiverreservoiranddamclusteriscomplex，withfrequentearthquakes，collpse， landslides，debrsfowndtalfostatteateamsafetyIdertoceefuldaicngndeso supportformultipledisaseriss，edeveloedamulti-sasterbigataarlywaingpatfom.heplatfocoveredmultiplefunctioal modulesuchasdyamicmoitoringof gologicalhazards，calculationofmultihazardwaingmodels，waingreleaseanddisplayofreallife3DmdelsByintegratingGsatiomoitoringdtaumaedaleicleemotessingdatagresolutioandtielatelliteremotesensingdata，real-tiemonitoringanddatavisualizationofdisasterssuchaslandslides，collapsesanddebrisfowscouldbe achieved.Itcouldbuildastandadiedndsalableulti-disasterriskarlywarngprobabilityodellibrarybybreakingthroughtelita tionsofsingledisasterskwaingprobabilityoels.Using3DvisualizatiofusioofCsmandUE5gine，igprecisiosilatioof floodroutingandlandsldedsasterpresssaadut，hileproviddsatialeractivetolssuchasiundationaalyisdpfile measurement.Teplatformcanquicklyrespondtocomplexdisasterisksandprovideaccurateandvisualiskwaringsupprtfortheser voir dam group in the upper reaches of the Yellow River.

Key words：multi-disaster；bigdata；early warning platform；reservoirand damgroups；upperreachesof theYellow River

0 引言

智慧水利建设是推动新阶段水利高质量发展的六大实施路径之一[1]，数字孪生是重要抓手。（剩余5436字）