Modelling the impact of sea-level rise on urban flood probability in SE China

Urban drainage systems in coastal cities in SE China are characterized by often complex canal and sluice-gate systems that are designed to safely drain pluvial flooding whilst preventing tidal inundation. However, the risk of coastal flooding in the region is expected to increase over the next 50–10...

Full description

Bibliographic Details
Main Authors: James Andrew Griffiths, Fangfang Zhu, Faith Ka Shun Chan, David Laurence Higgitt
Format: Article
Language:English
Published: Elsevier 2019-03-01
Series:Geoscience Frontiers
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987118300756
_version_ 1797727936030179328
author James Andrew Griffiths
Fangfang Zhu
Faith Ka Shun Chan
David Laurence Higgitt
author_facet James Andrew Griffiths
Fangfang Zhu
Faith Ka Shun Chan
David Laurence Higgitt
author_sort James Andrew Griffiths
collection DOAJ
description Urban drainage systems in coastal cities in SE China are characterized by often complex canal and sluice-gate systems that are designed to safely drain pluvial flooding whilst preventing tidal inundation. However, the risk of coastal flooding in the region is expected to increase over the next 50–100 years, as urban areas continue to expand and sea-levels are expected to rise. To assess the impact of projected sea-level rise on this type of urban drainage system, a one-dimensional model and decision support tool was developed. The model indicated that although sea-level rise represents a significant challenge, flood probability will continue to be most influenced by rainfall. Events that are significant enough to cause flooding will most likely be minimally impacted by changes to the tidal frame. However, it was found that a sea-level rise of up to 1.2 m by 2010 would result in increased drainage times and higher volumes of over-topping when flooding occurs. Keywords: Coastal, Probability, Typhoon, Scenarios, Flood management
first_indexed 2024-03-12T11:06:32Z
format Article
id doaj.art-7847ca26c6a4454681f868cea7a31d7b
institution Directory Open Access Journal
issn 1674-9871
language English
last_indexed 2024-03-12T11:06:32Z
publishDate 2019-03-01
publisher Elsevier
record_format Article
series Geoscience Frontiers
spelling doaj.art-7847ca26c6a4454681f868cea7a31d7b2023-09-02T03:45:10ZengElsevierGeoscience Frontiers1674-98712019-03-01102363372Modelling the impact of sea-level rise on urban flood probability in SE ChinaJames Andrew Griffiths0Fangfang Zhu1Faith Ka Shun Chan2David Laurence Higgitt3School of Geographical Sciences, University of Nottingham Ningbo China, 31500, China; Corresponding author. National Institute of Water and Atmospheric Research (NIWA), 10 Kyle Street, Riccarton, PO Box 8602, Christchurch 8011, New Zealand.Department of Civil Engineering, University of Nottingham Ningbo China, 31500, ChinaSchool of Geographical Sciences, University of Nottingham Ningbo China, 31500, China; School of Geography, University of Leeds, Leeds, LS29JT, UK; Water@Leeds Research Institute, University of Leeds, Leeds, LS29JT, UKLancaster University College at Beijing Jiaotong University, 264401, China; Lancaster Environment Centre, Lancaster University, LA1 4YQ, UKUrban drainage systems in coastal cities in SE China are characterized by often complex canal and sluice-gate systems that are designed to safely drain pluvial flooding whilst preventing tidal inundation. However, the risk of coastal flooding in the region is expected to increase over the next 50–100 years, as urban areas continue to expand and sea-levels are expected to rise. To assess the impact of projected sea-level rise on this type of urban drainage system, a one-dimensional model and decision support tool was developed. The model indicated that although sea-level rise represents a significant challenge, flood probability will continue to be most influenced by rainfall. Events that are significant enough to cause flooding will most likely be minimally impacted by changes to the tidal frame. However, it was found that a sea-level rise of up to 1.2 m by 2010 would result in increased drainage times and higher volumes of over-topping when flooding occurs. Keywords: Coastal, Probability, Typhoon, Scenarios, Flood managementhttp://www.sciencedirect.com/science/article/pii/S1674987118300756
spellingShingle James Andrew Griffiths
Fangfang Zhu
Faith Ka Shun Chan
David Laurence Higgitt
Modelling the impact of sea-level rise on urban flood probability in SE China
Geoscience Frontiers
title Modelling the impact of sea-level rise on urban flood probability in SE China
title_full Modelling the impact of sea-level rise on urban flood probability in SE China
title_fullStr Modelling the impact of sea-level rise on urban flood probability in SE China
title_full_unstemmed Modelling the impact of sea-level rise on urban flood probability in SE China
title_short Modelling the impact of sea-level rise on urban flood probability in SE China
title_sort modelling the impact of sea level rise on urban flood probability in se china
url http://www.sciencedirect.com/science/article/pii/S1674987118300756
work_keys_str_mv AT jamesandrewgriffiths modellingtheimpactofsealevelriseonurbanfloodprobabilityinsechina
AT fangfangzhu modellingtheimpactofsealevelriseonurbanfloodprobabilityinsechina
AT faithkashunchan modellingtheimpactofsealevelriseonurbanfloodprobabilityinsechina
AT davidlaurencehiggitt modellingtheimpactofsealevelriseonurbanfloodprobabilityinsechina