Modeling flood damage: Case of Tokai flood 2000

被引:56
作者
Zhai, GF
Fukuzono, T
Ikeda, S
机构
[1] Natl Res Inst Earth Sci & Disaster Prevent, Tsukuba, Ibaraki 3050006, Japan
[2] Univ Tsukuba, Tsukuba, Ibaraki 3058573, Japan
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2005年 / 41卷 / 01期
关键词
flood damage; depth damage functions; doughnut structure model; statistical analysis; Japan;
D O I
10.1111/j.1752-1688.2005.tb03719.x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In conventional flood damage reduction studies, flood damage is usually estimated with a damage function according to the depth of inundation. However, this method may not reflect the conditions of each family residing in the floodplain because it ignores not only the distribution of flood damage but also the effect of building characteristics and residents' preparedness. This paper uses data from a questionnaire based survey (N = 3,036) conducted 17 months after the Tokai Flood of 2000 that caused disastrous losses to household properties. It provides a conceptual "doughnut structure" model of flood damage to houses and house contents and a mathematical basis for models to explore the determinants of flood damage. Besides the inundation depth, house type significantly affects both the house structural and content damage probabilities, while house ownership and house structure affect house damage probability but not house content damage probability at a given depth. Inundation depth, residing period, and household income significantly affect both house and content damage values. In addition, house ownership has a significant impact on the house damage value, while house structure has an impact on content damage value.
引用
收藏
页码:77 / 92
页数:16
相关论文
共 17 条
[1]  
*FEMA, 1999, BEN COST AN FULL DAT
[2]  
*FEMA, 1997, MOD FEMAS FLOOD HAZ
[3]  
*IOI NONL INS CORP, 2001, RES INS PLAN HOUS CO
[4]  
*JAP GOVT HOUS LOA, 2001, REP HOUS SURV
[5]  
KATADA T, 2001, ADV RIVER ENG, V7, P41
[6]  
MAKINO T, 2001, MONTHLY CONSTRUCTION, V1, P29
[7]   Asia-Pacific regional perspective on bioinformatics [J].
Miyano, S ;
Ranganathan, S .
IEEE INTELLIGENT SYSTEMS, 2001, 16 (06) :19-+
[8]  
*MLIT MIN LAND INF, 2000, EC INV MAN FLOOD CON
[9]  
MUNICH R, 2001, TOPICS ANN REV NATUR
[10]  
OKI T, 2002, WEATHER, V49, P46