Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system

Urban areas are becoming increasingly vulnerable to extreme storms and flash floods, which could be more damaging under climate change. This study presented an integrated framework for assessing climate change impact on extreme rainfall and urban drainage systems by incorporating a number of statist...

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Main Authors: Lu, Wei, Qin, Xiaosheng
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/154010
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1540102021-12-14T02:17:03Z Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system Lu, Wei Qin, Xiaosheng School of Civil and Environmental Engineering Engineering::Civil engineering Climate Change Extreme Rainfall Urban areas are becoming increasingly vulnerable to extreme storms and flash floods, which could be more damaging under climate change. This study presented an integrated framework for assessing climate change impact on extreme rainfall and urban drainage systems by incorporating a number of statistical and modelling techniques. Starting from synthetic future climate data generated by the stochastic weather generator, the simple scaling method and the Huff rainfall design were adopted for rainfall disaggregation and rainfall design. After having obtained 3-min level designed rainfall information, the urban hydrological model (i.e., Storm Water Management Model) was used to carry out the runoff analysis. A case study in a tropical city was used to demonstrate the proposed framework. Particularly, the impact of selecting different general circulation models and Huff distributions on future 1-h extreme rainfall and the performance of the urban drainage system were investigated. It was revealed that the proposed framework is flexible and easy to implement in generating temporally high-resolution rainfall data under climate model projections and offers a parsimonious way of assessing urban flood risks considering the uncertainty arising from climate change model projections, downscaling and rainfall design. Ministry of Education (MOE) Nanyang Technological University Published version This project was supported by Start-Up Grant (M4081327.030) from the School of Civil and Environmental Engineering, Nanyang Technological University, Singapore and in part by the AcRF Tier 1 project (M4012228.030) from the Ministry of Education (MOE), Singapore. 2021-12-14T02:17:03Z 2021-12-14T02:17:03Z 2020 Journal Article Lu, W. & Qin, X. (2020). Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system. Hydrology Research, 51(1), 77-89. https://dx.doi.org/10.2166/nh.2019.233 1998-9563 https://hdl.handle.net/10356/154010 10.2166/nh.2019.233 2-s2.0-85087279946 1 51 77 89 en M4081327.030 M4012228.030 Hydrology Research © 2020 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Climate Change
Extreme Rainfall
spellingShingle Engineering::Civil engineering
Climate Change
Extreme Rainfall
Lu, Wei
Qin, Xiaosheng
Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
description Urban areas are becoming increasingly vulnerable to extreme storms and flash floods, which could be more damaging under climate change. This study presented an integrated framework for assessing climate change impact on extreme rainfall and urban drainage systems by incorporating a number of statistical and modelling techniques. Starting from synthetic future climate data generated by the stochastic weather generator, the simple scaling method and the Huff rainfall design were adopted for rainfall disaggregation and rainfall design. After having obtained 3-min level designed rainfall information, the urban hydrological model (i.e., Storm Water Management Model) was used to carry out the runoff analysis. A case study in a tropical city was used to demonstrate the proposed framework. Particularly, the impact of selecting different general circulation models and Huff distributions on future 1-h extreme rainfall and the performance of the urban drainage system were investigated. It was revealed that the proposed framework is flexible and easy to implement in generating temporally high-resolution rainfall data under climate model projections and offers a parsimonious way of assessing urban flood risks considering the uncertainty arising from climate change model projections, downscaling and rainfall design.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Lu, Wei
Qin, Xiaosheng
format Article
author Lu, Wei
Qin, Xiaosheng
author_sort Lu, Wei
title Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
title_short Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
title_full Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
title_fullStr Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
title_full_unstemmed Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
title_sort integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system
publishDate 2021
url https://hdl.handle.net/10356/154010
_version_ 1720447117506379776