节点文献

洪水灾情投影寻踪评估模型

Projection Pursuit Model for Evaluating of Flood Events

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王顺久张欣莉侯玉丁晶

【Author】 WANG Shun-jiu 1 ,ZHANG Xin-li 2 ,HOU Yu 3 ,DING Jing 1 (1.College of Hydropower Engineering,Sichuan University,Chengdu610065,China;2.Business School,Sichuan University,Chengdu610064,China;3.Department of Geography,Zhongshan Univer

【机构】 四川大学水电学院四川大学工商管理学院中山大学地理学系四川大学水电学院 四川成都610065四川成都610064广东广州510275四川成都610065

【摘要】 洪水灾情评估是多因素评价问题,它是包括自然、环境、社会经济等多种因素综合作用的结果,必须对各因素进行综合评估,而不能仅依据某单项指标得出评价结论。目前国内外还没有统一的洪水灾情评估指标体系和各指标定量化等级标准。根据投影寻踪技术提出了洪水灾情投影寻踪评估模型,将评价样本的各因素进行线性投影,以最优投影方向所对应的投影特征量作为评价依据,该模型计算过程简单、结果直观,更重要的是评估结果无人为任意性。将这一模型用于1998年洪水的分类和我国部分省市的洪水灾情评估中。实例分析表明,该模型能够很好地对各种洪水灾情进行有效的评估,是一种处理多因素复杂评价问题的新途径。

【Abstract】 The difficulty frequently encountered in flood disaster evaluation is that there are so many factors included and the complex interrelationship existed among them.The evaluation cannot be achieved according to only one factor,because all the effect factors associated with flood disaster must be thought over.However,up till now,there is no a unified standard of assessment index system in the world.The research shows that projection pursuit model could form a suitable index for overcoming the difficulties in assessment.Projection pursuit is a statistical technique,which is by projecting high-dimensional data onto low-dimensional space and most of data’s feature can still be retained by a main characteristic component.It makes the assessment of high dimensional feature easier.For the first time,an efficient approach with genetic algorithm to find interesting projection is offered in this paper.Using this new model,we succeeded in analyzing1998flood characters in China,and evaluating flood disasters from1989to1990in33provinces in China.

【基金】 国家自然科学基金资助项目(50079031);四川大学青年基金资助项目(4010432004)
  • 【分类号】P426.616
  • 【被引频次】43
  • 【下载频次】363
节点文献中: 

本文链接的文献网络图示:

本文的引文网络