Multi-objective optimization under uncertainty for urban flood risk management

Climate change is likely to produce more severe and violent storms in the future. The threat of flooding is also very likely to rise in tandem with the increased severity and frequency of these storms. This is especially so in urbanized areas where soil has been moved in place of roads and pav...

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Main Author: Koh, Sebastian Xinyi
Other Authors: Cheung Sai Hung
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68348
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-683482023-03-03T17:19:07Z Multi-objective optimization under uncertainty for urban flood risk management Koh, Sebastian Xinyi Cheung Sai Hung School of Civil and Environmental Engineering DRNTU::Science::Mathematics::Applied mathematics::Optimization Climate change is likely to produce more severe and violent storms in the future. The threat of flooding is also very likely to rise in tandem with the increased severity and frequency of these storms. This is especially so in urbanized areas where soil has been moved in place of roads and pavement, amongst many other reasons. The surge in new mathematical algorithms and rainfall models has seen to it that more studies and research has been done into this area, churning out interesting insights and predictions. This report will discuss some of the connections between climate change, urbanization and flood risk. It will also cover some of the research that has already been done and will go through one of the simulation models that we have put together. Bachelor of Engineering (Civil) 2016-05-25T07:08:14Z 2016-05-25T07:08:14Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68348 en Nanyang Technological University 36 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Mathematics::Applied mathematics::Optimization
spellingShingle DRNTU::Science::Mathematics::Applied mathematics::Optimization
Koh, Sebastian Xinyi
Multi-objective optimization under uncertainty for urban flood risk management
description Climate change is likely to produce more severe and violent storms in the future. The threat of flooding is also very likely to rise in tandem with the increased severity and frequency of these storms. This is especially so in urbanized areas where soil has been moved in place of roads and pavement, amongst many other reasons. The surge in new mathematical algorithms and rainfall models has seen to it that more studies and research has been done into this area, churning out interesting insights and predictions. This report will discuss some of the connections between climate change, urbanization and flood risk. It will also cover some of the research that has already been done and will go through one of the simulation models that we have put together.
author2 Cheung Sai Hung
author_facet Cheung Sai Hung
Koh, Sebastian Xinyi
format Final Year Project
author Koh, Sebastian Xinyi
author_sort Koh, Sebastian Xinyi
title Multi-objective optimization under uncertainty for urban flood risk management
title_short Multi-objective optimization under uncertainty for urban flood risk management
title_full Multi-objective optimization under uncertainty for urban flood risk management
title_fullStr Multi-objective optimization under uncertainty for urban flood risk management
title_full_unstemmed Multi-objective optimization under uncertainty for urban flood risk management
title_sort multi-objective optimization under uncertainty for urban flood risk management
publishDate 2016
url http://hdl.handle.net/10356/68348
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