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沿海地区城市洪水恢复的雨水径流减少模拟模型

Stormwater runoff reduction simulation model for urban flood restoration in coastal area.

作者信息

Song Kihwan, Kim Min, Kang Han-Min, Ham Eun-Kyung, Noh Junsung, Khim Jong Seong, Chon Jinhyung

机构信息

Department of Environmental Science and Ecological Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841 Republic of Korea.

Korea Institute of Green Infrastructure Co., Ltd., 143 Bangbae-ro, Seocho-gu, Seoul, 06672 Republic of Korea.

出版信息

Nat Hazards (Dordr). 2022;114(3):2509-2526. doi: 10.1007/s11069-022-05477-7. Epub 2022 Jul 27.

DOI:10.1007/s11069-022-05477-7
PMID:35915723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9328011/
Abstract

UNLABELLED

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.

摘要

未标注

城市发展导致不透水区域扩大以及短期强降水引发的城市洪水对许多沿海城市产生不利影响。值得注意的是,首尔作为遭受严重城市洪水的沿海城市之一,在降雨季节每年都会遭遇城市洪水。因此,为减轻首尔城市洪水的影响,我们将洪水脆弱地区确定为目标区域,使用雨水径流减少模块(SRRM)进行绿色基础设施规划。我们选择了韩国首尔的江东、江北和道峰区,这些地区都表现出较高的洪水脆弱性。通过使用SRRM进行模型模拟,估计了减少径流量和峰值时间延迟效应。整个区域峰值流量的减少顺序如下:江东地区,然后是江北地区,最后是道峰地区。相比之下,单位面积峰值流量的减少在江北地区最为显著,其次是道峰和江东地区。然而,所有目标区域的延迟效应几乎相同。基于本研究的模拟结果,我们规划了绿色基础设施,包括绿色屋顶、渗透存储设施和多孔路面。我们相信本研究结果可以显著提高沿海城市城市洪水恢复和绿色基础设施规划的效率。

补充信息

在线版本包含可在10.1007/s11069-022-05477-7获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/8c246832a245/11069_2022_5477_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/6e1fdefa3f19/11069_2022_5477_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/b89d27d8d736/11069_2022_5477_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/1113f1011864/11069_2022_5477_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/8a699a1d7d1c/11069_2022_5477_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/80c1dfcd9cde/11069_2022_5477_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/5c47f14e6c44/11069_2022_5477_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/8c246832a245/11069_2022_5477_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/6e1fdefa3f19/11069_2022_5477_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/b89d27d8d736/11069_2022_5477_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/1113f1011864/11069_2022_5477_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/8a699a1d7d1c/11069_2022_5477_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/80c1dfcd9cde/11069_2022_5477_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/5c47f14e6c44/11069_2022_5477_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0c/9328011/8c246832a245/11069_2022_5477_Fig8_HTML.jpg

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