中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (11): 149-155.doi: 10.16265/j.cnki.issn1003-3033.2018.11.024

• 公共安全 • 上一篇    下一篇

基于GIS的公路洪灾危险性空间模糊综合评价

李梦梅, 牟凤云 教授, 林孝松 教授, 龙秋月, 崔梦瑞   

  1. 重庆交通大学 建筑与城市规划学院,重庆 400074
  • 收稿日期:2018-08-03 修回日期:2018-09-27 发布日期:2020-11-25
  • 作者简介:李梦梅 (1994—),女,四川阆中人,硕士研究生,研究方向为国土资源遥感与3S集成技术。E-mail:mori_lee@163.com。
  • 基金资助:
    国家自然科学基金资助(41601564);国家自然科学基金校内培育项目资助(2018PY15)。

Spatial fuzzy comprehensive assessment of highway flood risk based on GIS

LI Mengmei, MU Fengyun, LIN Xiaosong, LONG Qiuyue, CUI Mengrui   

  1. School of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2018-08-03 Revised:2018-09-27 Published:2020-11-25

摘要: 为探究公路洪灾危险性评价等级及其空间分布特征,根据公路及其环境的特点,从孕灾环境和致灾因子2方面选取9个评价因子,建立公路洪灾危险性评价指标体系,采用最优组合赋权法计算指标权重;结合地理信息系统(GIS)技术和可变多目标模糊优选理论,构建公路洪灾危险性空间模糊评价模型;以重庆市巴南区为应用实例,验证该模型的有效性。结果表明:运用最优组合赋权法确定权重,可避免单一权重的片面性,得到的综合权重更符合实际情况;用空间模糊综合评价模型得到的评估结果与实际情况相符。

关键词: 公路洪灾, 地理信息系统(GIS), 空间模糊综合评价, 最优组合赋权法, 多目标模糊优选模型

Abstract: An index system of highway flood risk assessment was established after 9 evaluation indexes were identified from considering the disaster environment and the disaster causing factors. Based on the optimum combination weighting method, weights of the indexes were calculated. On the basis of GIS technology and variable multi objective fuzzy optimization theory, a spatial fuzzy evaluation model was built for highway flood disaster risk. The effectiveness of this model was verified by applying it to Banan District of Chongqing which was taken as an example. The results show that using the optimal combination weighting method can avoid the one-sidedness of a single method and get more reasonable and realistic comprehensive weights, and that the assessment results obtained by using the model conform with the reality.

Key words: highway flood, geographic information system(GIS), spatially fuzzy comprehensive assessment, optimal combined weights method, multi-objective fuzzy optimization model

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