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Flood impacts on urban road connectivity in southern China
Effective measures to improve road accessibility during storms are required as traffic congestion caused by storm floods increasingly constrains the efficiency of urban commuting. However, flood impacts on urban road connectivity are not yet well assessed due to inaccurate simulation of flood proces...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547071/ https://www.ncbi.nlm.nih.gov/pubmed/36207408 http://dx.doi.org/10.1038/s41598-022-20882-5 |
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author | Zhou, Ruitao Zheng, Hang Liu, Yueyi Xie, Guanti Wan, Wenhua |
author_facet | Zhou, Ruitao Zheng, Hang Liu, Yueyi Xie, Guanti Wan, Wenhua |
author_sort | Zhou, Ruitao |
collection | PubMed |
description | Effective measures to improve road accessibility during storms are required as traffic congestion caused by storm floods increasingly constrains the efficiency of urban commuting. However, flood impacts on urban road connectivity are not yet well assessed due to inaccurate simulation of flood processes in urban areas where high-resolution data for drainage networks and gauged hydrological data are insufficient. Thus, this study assesses flood impacts on road network connectivity in an urban area of southern China through joint modeling of 1-D hydrodynamic processes in drainage networks and 2-D flood inundation processes on roads using MIKE Urban and MIKE 21. High-resolution DEM images of 5 m and a drainage network of 5635 pipelines were used for urban hydrological simulation. Flood depths were gauged for model calibration and validation by recruited volunteers in the context of citizen science. The results show that road network connectivity decreases as rainfall increases. More than 40% of road connectivity is lost in the study area when a 1-in-100-year return period rainfall occurs. The study results can help to inform more adaptive strategies for local flood control. The study methods are also applicable to improving urban hydrological modeling in broader regions. |
format | Online Article Text |
id | pubmed-9547071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95470712022-10-09 Flood impacts on urban road connectivity in southern China Zhou, Ruitao Zheng, Hang Liu, Yueyi Xie, Guanti Wan, Wenhua Sci Rep Article Effective measures to improve road accessibility during storms are required as traffic congestion caused by storm floods increasingly constrains the efficiency of urban commuting. However, flood impacts on urban road connectivity are not yet well assessed due to inaccurate simulation of flood processes in urban areas where high-resolution data for drainage networks and gauged hydrological data are insufficient. Thus, this study assesses flood impacts on road network connectivity in an urban area of southern China through joint modeling of 1-D hydrodynamic processes in drainage networks and 2-D flood inundation processes on roads using MIKE Urban and MIKE 21. High-resolution DEM images of 5 m and a drainage network of 5635 pipelines were used for urban hydrological simulation. Flood depths were gauged for model calibration and validation by recruited volunteers in the context of citizen science. The results show that road network connectivity decreases as rainfall increases. More than 40% of road connectivity is lost in the study area when a 1-in-100-year return period rainfall occurs. The study results can help to inform more adaptive strategies for local flood control. The study methods are also applicable to improving urban hydrological modeling in broader regions. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9547071/ /pubmed/36207408 http://dx.doi.org/10.1038/s41598-022-20882-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhou, Ruitao Zheng, Hang Liu, Yueyi Xie, Guanti Wan, Wenhua Flood impacts on urban road connectivity in southern China |
title | Flood impacts on urban road connectivity in southern China |
title_full | Flood impacts on urban road connectivity in southern China |
title_fullStr | Flood impacts on urban road connectivity in southern China |
title_full_unstemmed | Flood impacts on urban road connectivity in southern China |
title_short | Flood impacts on urban road connectivity in southern China |
title_sort | flood impacts on urban road connectivity in southern china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547071/ https://www.ncbi.nlm.nih.gov/pubmed/36207408 http://dx.doi.org/10.1038/s41598-022-20882-5 |
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