Spatial Transferability of Residential Building Damage Models between Coastal and Fluvial Flood Hazard Contexts

被引:0
作者
Paulik, Ryan [1 ]
Williams, Shaun [1 ]
Popovich, Benjamin [2 ]
机构
[1] Natl Inst Water & Atmospher Res NIWA, 301 Evans Bay, Wellington 6021, New Zealand
[2] Moffatt & Nichol, 1780 Hughes Landing Blvd,Suite 575, The Woodlands, TX 77380 USA
关键词
coastal flooding; fluvial flooding; residential buildings; damage; learning models;
D O I
10.3390/jmse11101960
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This study investigates residential building damage model transferability between coastal and fluvial flood hazard contexts. Despite the frequency of damaging coastal flood events, empirical damage models from fluvial flooding are often applied in quantitative coastal flood risk assessments. This assumes that building damage response is similar from the exposure to different flood sources. Here, we use empirical data from coastal, riverine and riverine-levee breach flooding events to analyse residential building damage. Damage is analysed by applying univariable and multivariable learning models to determine the importance of explanatory variables for relative damage prediction. We observed that the larger explanatory variable range considered in multivariable models led to higher predictive accuracy than univariable models in all flood contexts. Transfer analysis using multivariable models showed that models trained on event-specific damage data had higher predictive accuracy than models learned on all damage data or on data from other events and locations. This finding highlights the need for damage models to replicate local damage factors for reliable application across different flood hazard contexts.
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页数:14
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