Back to results

University of Illinois at Urbana-Champaign

Investigation of climate change impact on hurricane wind and freshwater flood risks using machine learning techniques

Abstract

dc:description

Hurricane causes severe damage along with the U.S. coastal states. With the potential increase in hurricane intensity in changing climate conditions, the impacts of hurricanes are expected to be severer. Current hurricane risk management practices are based on the hurricane risk assessment without considering climate impact, which would result in a higher level of risk for the built environment than intended. For the development of proper hurricane risk management strategies, it is crucial to investigate the climate change impact on hurricane risk. However, investigation of future hurricane risk can be very time-consuming because of the high resolution of the models for climate-dependent hazard simulation and regional loss assessment. This study aims at investigating the climate change impact on hurricane wind and rain-ingress risk and freshwater flood risk on residential buildings across the southeastern U.S. coastal states. To address the challenge of computational inefficiency, surrogate models are developed using machine learning techniques for evaluating wind and freshwater flood losses of simulated climate-dependent hurricane scenarios. It is found that climate change impact varies by region and has a more significant influence on wind and rain-ingress damage, while both increases in wind and flood risks are not negligible.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Civil Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lin, Chi-Ying
Contributors dc:contributor
  • Cha, Eun Jeong
  • Gardoni, Paolo
  • Wang, Zhuo
  • Zhu, Ruoqing

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • Copyright 2021 Chi-Ying Lin
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/110461
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/110461

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lin, Chi-Ying. Investigation of climate change impact on hurricane wind and freshwater flood risks using machine learning techniques. Dissertation thesis, University of Illinois at Urbana-Champaign, 2021. http://hdl.handle.net/2142/110461