水资源保护2024，Vol.40Issue(2)：46-54,9.DOI:10.3880/j.issn.1004-6933.2024.02.007
基于PSO-SVM的鹤盛溪流域山洪风险评价
Risk assessment of torrential floods in the Heshengxi Watershed based on PSO-SVM
摘要
Abstract
To explore the spatial distribution of torrential flood risk in the Heshengxi Watershed of Wenzhou City,a risk assessment model of torrential flood based on particle swarm optimization-support vector machine(PSO-SVM)hybrid algorithm was established,taking into account the torrential flood causing factors,the disaster-prone environment,and the hazard bearing bodies.Six evaluation indicators were selected,including accuracy,sensitivity,specificity,F-score value,Kappa coefficient,and subject working characteristic curve.The learning vector quantization algorithm was used to quantify the impact of torrential flood impact factors on the occurrence of torrential flood disasters,and the PSO-SVM hybrid algorithm model was compared with single algorithm models.The results show that the hybrid algorithm has a certain transfer ability and can more accurately reflect the spatial distribution characteristics of torrential flood risk.The working characteristic curve indicators,Kappa coefficient,and accuracy of the validation set subjects were 0.934,0.833,and 0.912,respectively.The PSO-SVM hybrid algorithm model can significantly improve the accuracy of torrential flood risk assessment.关键词
山洪灾害/风险评价模型/山洪影响因子/PSO-SVM/鹤盛溪流域Key words
torrential flood disaster/risk assessment model/torrential flood impact factors/PSO-SVM/Heshengxi Watershed分类
建筑与水利引用本文复制引用
王如锴,练继建,苑希民,田福昌,陈隆吉,马文豪..基于PSO-SVM的鹤盛溪流域山洪风险评价[J].水资源保护,2024,40(2):46-54,9.基金项目
国家重点研发计划项目(2022YFC3202501) （2022YFC3202501）
水利部重大科技项目(SKS-2022002) （SKS-2022002）
科技部重点领域创新团队项目(2014RA4031) （2014RA4031）
国家自然科学基金委创新团队项目(51621092) （51621092）
