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Water 2016, 8(7), 282; doi:10.3390/w8070282

An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia

1
Centre for Disaster Management and Public Safety (CDMPS), Department of Infrastructure Engineering, The University of Melbourne, Melbourne 3010, Australia
2
Director of the Advanced Protective Technologies for Engineering Structures (APTES) Group, Department of Infrastructure Engineering, The University of Melbourne, Melbourne 3010, Australia
3
Department of Infrastructure Engineering, The University of Melbourne, Melbourne 3010, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 7 May 2016 / Revised: 30 June 2016 / Accepted: 1 July 2016 / Published: 9 July 2016
View Full-Text   |   Download PDF [4304 KB, uploaded 9 July 2016]   |  

Abstract

Flood is a frequent natural hazard that has significant financial consequences for Australia. In Australia, physical losses caused by floods are commonly estimated by stage-damage functions. These methods usually consider only the depth of the water and the type of buildings at risk. However, flood damage is a complicated process, and it is dependent on a variety of factors which are rarely taken into account. This study explores the interaction, importance, and influence of water depth, flow velocity, water contamination, precautionary measures, emergency measures, flood experience, floor area, building value, building quality, and socioeconomic status. The study uses tree-based models (regression trees and bagging decision trees) and a dataset collected from 2012 to 2013 flood events in Queensland, which includes information on structural damages, impact parameters, and resistance variables. The tree-based approaches show water depth, floor area, precautionary measures, building value, and building quality to be important damage-influencing parameters. Furthermore, the performance of the tree-based models is validated and contrasted with the outcomes of a multi-parameter loss function (FLFArs) from Australia. The tree-based models are shown to be more accurate than the stage-damage function. Consequently, considering more parameters and taking advantage of tree-based models is recommended. The outcome is important for improving established Australian flood loss models and assisting decision-makers and insurance companies dealing with flood risk assessment. View Full-Text
Keywords: flood damage assessment; flood risk; stage-damage function; multi-variate analysis; flood loss-influencing parameters; tree-based analyses; FLFArs; risk reduction flood damage assessment; flood risk; stage-damage function; multi-variate analysis; flood loss-influencing parameters; tree-based analyses; FLFArs; risk reduction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hasanzadeh Nafari, R.; Ngo, T.; Mendis, P. An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia. Water 2016, 8, 282.

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