Model for Evaluation of Loss-of-life Caused by Dam Breach Based on Support Vector Machine

王志军; 顾冲时; 娄一青

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Model for Evaluation of Loss-of-life Caused by Dam Breach Based on Support Vector Machine

更新时间：2026-01-22

- Model for Evaluation of Loss-of-life Caused by Dam Breach Based on Support Vector Machine
- Issue 1, Pages: 67-70(2008)
- 作者机构：
  
  1. 河海大学水利水电工程学院,江苏,南京,210098
  2. 水资源高效利用与工程安全国家工程研究中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV64
- Published：2008
- 稿件说明：
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[1]王志军,顾冲时,娄一青.基于支持向量机的溃坝生命损失评估模型及应用[J].水力发电,2008(01):67-70.

王志军, 顾冲时, 娄一青. Model for Evaluation of Loss-of-life Caused by Dam Breach Based on Support Vector Machine[J]. 2008, (1): 67-70.
[1]王志军,顾冲时,娄一青.基于支持向量机的溃坝生命损失评估模型及应用[J].水力发电,2008(01):67-70. DOI：

王志军, 顾冲时, 娄一青. Model for Evaluation of Loss-of-life Caused by Dam Breach Based on Support Vector Machine[J]. 2008, (1): 67-70. DOI：

摘要

针对溃坝生命损失历史资料缺乏且影响因素复杂的特点

鉴于支持向量机算法的诸多优势

建立了基于支持向量机的溃坝生命损失评估模型。将溃坝生命损失定义为风险人口与生命损失率的乘积

分析了生命损失的评估指标

建立了综合评估体系。根据我国已溃决大坝的历史资料

构建了学习样本。留一法交互校验结果表明

该评估方法具有一定的精度。

Abstract

Considering shortage of historical data and many complicated influence factors about loss of life caused by dam breach

an evaluation model of loss-of-life caused by dam breach based on support vector machine is put forward.In this paper

loss of life caused by dam breach is defined as the product of people at risk and death rate.Five important factors affecting loss of life are analyzed.The evaluation index system is established.Learning samples are constructed on the basis of historical data of eight breached dams in China.Leave one out cross validation shows accuracy of the evaluation method.

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references

基于支持向量机的水资源短缺风险评价模型及应用 [J]. 黄明聪,解建仓,阮本清,汪雅梅. 水利学报 . 2007(03)

大坝溃决导致的生命损失估算方法研究现状 [J]. 李雷,周克发. 水利水电科技进展 . 2006(02)

支持向量机与人工神经网络 [J]. 艾娜,吴作伟,任江华. 山东理工大学学报(自然科学版) . 2005(05)

支持向量机在地下水位预报中的应用研究 [J]. 王景雷,吴景社,孙景生,齐学斌. 水利学报 . 2003(05)

溃坝生命损失分析方法研究 [D]. 周克发. 南京水利科学研究院 2006

支持向量机导论[M]. 电子工业出版社 , (英)NelloCristianini,（英）JohnShawe-Taylor著, 2004

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Related Institution

College of Water Conservaney and Hydropower Engineering, Hohai University

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北京100038

中国水利水电科学研究院北京102200

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