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基于流域—河段—村落的山洪灾害递进式风险评价模型及应用

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山丘区沿河村落山洪灾害多由暴雨引发,同时受流域、河段、人类活动等因素影响,对其进行风险评价是山洪灾害防御的前提。对此,提出了"流域—河段—村落"综合风险评价单元,基于山洪灾害形成机制,从流域、河段、村落3个方面选取16个指标,构建了山洪灾害风险指标体系;引入随机森林算法,建立流域—河段—村落递进式风险评价模型,并采用历史山洪灾害样本数据进行训练,在此基础上通过基尼指数来分析各指标的重要性。以潍坊市1 105个沿河村落进行应用实践,结果表明,基于随机森林风险评价模型的准确度达82。47%,具有较高的准确性;流域、河段、村落各层面指标贡献度分别为30。79%、43。40%、25。81%,表明每个风险进程层面均产生一定的影响。
Progressive Risk Evaluation Model of Flash Flood Disaster Based on Watershed Reach Village and Its Application
Flood disasters in riverside villages of hilly regions are often triggered by heavy rainfalls,influenced by wa-tersheds,river reaches,and human activities.Risk assessment is crucial for prevention.This paper proposes a"water-shed-river reach-village"integrated risk assessment unit,and selects 16 indicators from these three aspects to form a risk indicator system.A progressive risk assessment model is established using random forest algorithm.The sample data of historical flash flood disaster were used for training.The Gini index was used to analyze the importance of each index.The 1 105 villages along the river in Weifang City were carried out application practice.The results show that the accura-cy of the risk assessment model by the random forest algorithm reaches 82.47%,indicating high precision;The contribu-tion rates of indicators at the watershed,river reach,and village levels are 30.79%,43.40%,and 25.81%,respective-ly,indicating that each level of the risk process has a certain impact.

mountain torrent disastersrisk assessmentrecursiverandom forest modelriverine villages

侯越、桑国庆、刘阳、张海坤

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济南大学水利与环境学院,山东 济南 250022

山东省水旱灾害防御中心,山东 济南 250013

山洪灾害 风险评价 递进式 随机森林模型 沿河村落

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(12)