Research on Flood Risk Zoning based on Information Diffusion and Entropy Theory in the Huaihe River Basin, China

被引:0
|
作者
Chen Junfei [1 ,2 ]
Liu Guiyun [1 ,2 ]
Wang Huimin [1 ,2 ]
Li Ming [3 ]
Liu Gaofeng [1 ,2 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
[2] Hohai Univ, Sch Business, Nanjing 210098, Jiangsu, Peoples R China
[3] CSIRO Math Informat & Stat, Wembley, WA 6913, Australia
来源
DISASTER ADVANCES | 2012年 / 5卷 / 04期
关键词
Information diffusion; Information entropy; Flood disaster; Risk assessment; Huaihe River Basin;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The flood risk assessment is a critical problem in China due to climate change and frequent flood disasters. However, due to the fact that flood historical data are relatively insufficient for flood risk assessment, it is quite difficult to assess the flood risk. In this paper, we propose a risk assessment method based on the information diffusion which can turn a single-valued sample into a set of numerical-valued samples according to evaluation criterions. The index weights are determined by integrating the entropy weight method and the AHP (analytic hierarchy process) method. We evaluate the regional flood risk occurred in the Huaihe River basin in 2007 based on historical data. The risk grades and zoning of five regions in the Huaihe River basin are obtained and the results are consistent with the actual situation. The results show the method is feasible and effective, and can be easily applied to effectively resolve problems of insufficient samples in regional flood risk assessment. The research can also provide decision-making for the risk assessment of flood disasters.
引用
下载
收藏
页码:1224 / 1230
页数:7
相关论文
共 50 条
  • [1] Flood disaster risk analysis for Songhua River Basin based on theory of information diffusion
    Yi, Chang
    Huang, Chongfu
    Pan, Yaozhong
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS, 2007, 4489 : 1069 - +
  • [2] Flood Disaster Risk Analysis of the Haihe River Basin Based on Information Diffusion Theory
    Gao, X. F.
    Zhu, H. T.
    CHINESE-GERMAN JOINT SYMPOSIUM ON HYDRAULIC AND OCEAN ENGINEERING (CG JOINT 2010), 2010, : 52 - 56
  • [3] Changing of flood risk due to climate and development in Huaihe River basin, China
    Wu, Yenan
    Zhong, Ping-an
    Xu, Bin
    Zhu, Feilin
    Ma, Biao
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2017, 31 (04) : 935 - 948
  • [4] Changing of flood risk due to climate and development in Huaihe River basin, China
    Yenan Wu
    Ping-an Zhong
    Bin Xu
    Feilin Zhu
    Biao Ma
    Stochastic Environmental Research and Risk Assessment, 2017, 31 : 935 - 948
  • [5] A Study on Rainfall Division of Huaihe River Basin Based on Information Entropy
    Guan, Yaozong
    Zhang, Jiguo
    Liu, Gaofeng
    INTERNATIONAL SYMPOSIUM ON FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION (FSKDNC 2014), 2014, : 10 - 18
  • [6] Practical research of the flood risk based on information diffusion theory
    Zhang, Xingcai
    Feng, Lihua
    APPLIED ARTIFICIAL INTELLIGENCE, 2006, : 686 - +
  • [7] Integrated risk assessment for agricultural drought and flood disasters based on entropy information diffusion theory in the middle and lower reaches of the Yangtze River, China
    Liu, Yunqiang
    You, Ming
    Zhu, Jialing
    Wang, Fang
    Ran, Ruiping
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2019, 38
  • [8] Optimization of wetland restoration siting and zoning in flood retention areas of river basins in China: A case study in Mengwa, Huaihe River Basin
    Zhang, Xiaolei
    Song, Yuqin
    JOURNAL OF HYDROLOGY, 2014, 519 : 80 - 93
  • [9] Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China
    Yenan Wu
    Ping-an Zhong
    Yu Zhang
    Bin Xu
    Biao Ma
    Kun Yan
    Natural Hazards, 2015, 78 : 635 - 651
  • [10] Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China
    Wu, Yenan
    Zhong, Ping-an
    Zhang, Yu
    Xu, Bin
    Ma, Biao
    Yan, Kun
    NATURAL HAZARDS, 2015, 78 (01) : 635 - 651