长江科学院院报

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基于模糊聚类迭代模型的洪灾评估标准计算方法

廖力1a,周雪芹1b,邹强2,曾小凡3,周建中3   

  1. 1. 湖北工业大学 a.电气与电子工程学院; b.工程技术学院, 武汉 430068;
    2. 长江勘测规划设计研究院 规划设计处,武汉 430010;3.华中科技大学 水电与数字化工程学院,武汉 430074
  • 收稿日期:2013-11-25 出版日期:2015-02-01 发布日期:2015-02-06
  • 通讯作者: 周雪芹(1984-),女,湖北武汉人,讲师,硕士,主要从事模糊理论、进化算法等工作,(电话)13971193642(电子信箱)conmie2008@163.com。
  • 作者简介:廖力(1979-),男,湖北武汉人,讲师,博士,主要从事洪水风险分析与灾害评估、模糊理论、进化算法等工作,(电话)13971130350(电子信箱)amazon2008@163.com。
  • 基金资助:

    国家自然科学基金项目(51239004,51309105);湖北省自然科学基金项目(2014CFB333);长江科学院开放研究基金资助项目(CKWV2014219/KY)

Calculation Method for Flood Disaster Assessment Standards Based on Fuzzy Clustering Iterative Model

LIAO Li1,ZHOU Xue-qin2,ZOU Qiang3,ZENG Xiao-fan4,ZHOU Jian-zhong4   

  1. 1.School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China;
    2.School of Engineering and Technology, Hubei University of Technology, Wuhan 430068, China;
    3.Planning and Design Department, Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China;
    4.School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074,China
  • Received:2013-11-25 Online:2015-02-01 Published:2015-02-06

摘要:

对于洪灾评估工作来说,制定一个具有普适性的洪灾等级评估标准是很重要的,而目前缺少一个被公开认可的标准制定方案。在模糊聚类迭代模型的基础上,提出了一种不受时空分布影响的洪灾评估标准计算方法。在求解目标函数时,采用混沌文化进化算法进行了优化。以四川省1976—2006年洪灾样本为例,计算出了四川省洪灾的标准化等级评估标准,并进行了验证。分析表明:该标准是合理有效并符合洪灾分布特点的,可以作为其它模型的评估标准。采用相对值标准,不受时空分布不同的影响,可以用于所有具有同一范围级别和较完备历史灾情数据的洪灾评估标准工作。

关键词: 洪灾评估, 洪灾评估标准, 模糊聚类迭代模型, 混沌文化差分进化算法, 洪灾分布特点, 洪水灾害等级划分

Abstract:

It is important to have a universal standard when assessing the scale of a flood disaster, despite such a widely accepted standard does not currently exist. On the basis of fuzzy clustering iterative model, we proposed a calculation method for disaster standard independent of the time and location of the disaster. A piecewise linear chaotic map based culture differential evolution algorithm was used to optimize the objective function. We verified the efficiency and accuracy of this method by applying it to the data of flood happened in Sichuan province during 1976-2006. The results are reasonable and consistent with the distribution of the flood disaster according to the assessing standard currently used by the Sichuan province. This method can also be applied to the flood disaster assessment in most cases which have complete data.

Key words: flood disaster assessment, assessment standards, fuzzy clustering iterative model (FCI), chaotic culture differential evolution algorithm (CCDE), features of flood distribution, grading of flood scale

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