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Stormwater runoff reduction simulation model for urban flood restoration in coastal area
Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328011/ https://www.ncbi.nlm.nih.gov/pubmed/35915723 http://dx.doi.org/10.1007/s11069-022-05477-7 |
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author | Song, Kihwan Kim, Min Kang, Han-Min Ham, Eun-Kyung Noh, Junsung Khim, Jong Seong Chon, Jinhyung |
author_facet | Song, Kihwan Kim, Min Kang, Han-Min Ham, Eun-Kyung Noh, Junsung Khim, Jong Seong Chon, Jinhyung |
author_sort | Song, Kihwan |
collection | PubMed |
description | Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-022-05477-7. |
format | Online Article Text |
id | pubmed-9328011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93280112022-07-28 Stormwater runoff reduction simulation model for urban flood restoration in coastal area Song, Kihwan Kim, Min Kang, Han-Min Ham, Eun-Kyung Noh, Junsung Khim, Jong Seong Chon, Jinhyung Nat Hazards (Dordr) Original Paper Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-022-05477-7. Springer Netherlands 2022-07-27 2022 /pmc/articles/PMC9328011/ /pubmed/35915723 http://dx.doi.org/10.1007/s11069-022-05477-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Song, Kihwan Kim, Min Kang, Han-Min Ham, Eun-Kyung Noh, Junsung Khim, Jong Seong Chon, Jinhyung Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title | Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title_full | Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title_fullStr | Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title_full_unstemmed | Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title_short | Stormwater runoff reduction simulation model for urban flood restoration in coastal area |
title_sort | stormwater runoff reduction simulation model for urban flood restoration in coastal area |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328011/ https://www.ncbi.nlm.nih.gov/pubmed/35915723 http://dx.doi.org/10.1007/s11069-022-05477-7 |
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