′′</sup> 特大暴雨災(zāi)害背景下的災(zāi)害鏈動(dòng)態(tài)演化特征。研究結(jié)果表明:1)數(shù)值模擬結(jié)果顯示泥石流的最大流速可達(dá) 6.56m/s ,最大堆積深度為 7.30m ,高、中、低危險(xiǎn)區(qū)占比分別為 3.61%,17.65%,78.74%;2) 排水設(shè)施損壞或堵塞、電力設(shè)施損壞、內(nèi)澇積水、車(chē)輛被淹、泥石流、河水倒灌是災(zāi)害鏈網(wǎng)絡(luò)的關(guān)鍵節(jié)點(diǎn);3)河水倒灌 $$ 內(nèi)澇積水、內(nèi)澇積水 $$ 車(chē)輛被淹、內(nèi)澇積水 $$ 電力設(shè)施損壞、河堤毀壞 $$ 河道堵塞、車(chē)輛被淹 $$ 人員傷亡是災(zāi)害鏈網(wǎng)絡(luò)的關(guān)鍵邊。從動(dòng)態(tài)演化的視角識(shí)別災(zāi)害鏈中的關(guān)鍵節(jié)點(diǎn)和關(guān)鍵邊,深入解析多災(zāi)害節(jié)點(diǎn)之間的交互機(jī)制,可為災(zāi)害風(fēng)險(xiǎn)評(píng)估、防災(zāi)減災(zāi)措施優(yōu)化及應(yīng)急管理提供科學(xué)依據(jù)。-龍?jiān)雌诳W(wǎng)" />

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基于復(fù)雜網(wǎng)絡(luò)與數(shù)值模擬的暴雨-洪水-泥石流災(zāi)害鏈分析

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關(guān)鍵詞:暴雨-洪水-泥石流災(zāi)害鏈;復(fù)雜網(wǎng)絡(luò);FLO-2D;關(guān)鍵節(jié)點(diǎn);關(guān)鍵邊圖分類(lèi)號(hào):TV62;TV882.1 文獻(xiàn)標(biāo)志碼:A doi:10.3969/j.issn.1000-1379.2025.07.020用格式:,,,等.基于復(fù)雜網(wǎng)絡(luò)與數(shù)值模擬的暴雨-洪水-泥石流災(zāi)害鏈分析[J].人民黃河,2025,47(7):124-130

Analysis of Rainstorm-Flood-Debris Flow Disaster Chain Based on Complex Networks and Numerical Simulation

YANG Haibo 1,2 ,LI Mengyu1, CAI Yingchun 1,2 , DENG Yu3 , LI Junhua3 (1.School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 45Oo01,China; 2.State Key Laboratoryof Tunnel Boring Machine and Inteligent Operationand Maintenance,Zhengzhou 45Oo1,China; 3.Yellow River Institute of Hydraulic Research,YRCC, Zhengzhou 450oO3,China)

Abstract:Severrinfalleventsoftentriggercascadinghazardssuchasflashfloodsanddebrisflows,formingintricatedisasterhainsat posesignificantatstcialndaualsowessastillisutiexpgtea tionrelationshipsamongulti-dsasterodesandtheirsupermposediss.Itissudy,wecombinedcomplexnetworkteorywihFO-2D numericalsimulationtoanalyzetheristo-food-debrisflowdisasterchin.TakingShishugouinLuanchuanCounty,HenanProvinceasa casestudy,tedyamicevolutioncharacteriticsoftedisasterchainundertebackgroudofteextremerainstomdisasterouedn ZhengzouonJuly2O,2O21wereanalyzed.Theresultsindicatethata)thenumericalsimulationresultsindicatethatthemaximuflwvelocity of the debris flow can reach 6.56m/s ,with a maximum deposition depth of 7.30m . The proportions of high,medium and low-risk areas are 3.61% , 17.65% and 78.74% respectively;b) damage or blockage of drainage systems,damage to electrical facilities,urban flooding, submergedvehicles,mudslidesandbackflowofiverwaterrepresenttheciticalodesinthisasterchainnetwork;)thekeydgsinthe network include backflow of river water $$ urban flooding,urban flooding $$ submerged vehicles,urban flooding $$ damage to electrical facilities,damage to riverbanks $$ river channel blockage,submerged vehicles $$ casualties.These findings effectively identify the critical nodesandweaklinkswithindisasterchainsfromadynamicevolutionperspective.Furthermore,thestudyelucidatestheinteractiosbetween multipleazadodesandteirimpactondsasterpropgatioddresingeygasindaicdisasteainevauationadiskt Theresults provide a scientific basis fordisaster prevention,mitigation measures and emergency management planning.

KeyWords:rainstorm-flood-debris flow disaster chain;complex networks;FLO-2D;key nodes;key edges

0 引言

全球氣候變暖造成極端天氣、氣象災(zāi)害頻發(fā),其中暴雨災(zāi)害帶來(lái)的次生災(zāi)害嚴(yán)重威脅基礎(chǔ)設(shè)施及生命財(cái)產(chǎn)安全。(剩余9727字)

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