黃河上游干流庫壩群段多災種大數(shù)據(jù)預警平臺研究

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中圖分類號：TV62；TV882.1 文獻標志碼：A doi：10.3969/j.issn.1000-1379.2025.07.007引用格式：，，，等.黃河上游干流庫壩群段多災種大數(shù)據(jù)預警平臺研究[J].人民黃河，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號 （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

智慧水利建設是推動新階段水利高質量發(fā)展的六大實施路徑之一[1]，數(shù)字孿生是重要抓手。（剩余5436字）