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Article

Green Space Optimization Strategy to Prevent Urban Flood Risk in the City Centre of Wuhan

by 1,†, 2,*,†, 2, 3 and 2
1
Introduction of Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710000, China
2
Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430071, China
3
Department of Urban Planning, School of Architecture, Southeast University, Nanjing 210000, China
*
Author to whom correspondence should be addressed.
Authors contributed equal.
Academic Editor: Olga Petrucci
Water 2021, 13(11), 1517; https://doi.org/10.3390/w13111517
Received: 28 March 2021 / Revised: 23 May 2021 / Accepted: 24 May 2021 / Published: 28 May 2021
(This article belongs to the Section Urban Water Management)
Changing the water permeability ratio of urban underlying surface helps alleviate urban flood. This paper designs the swale identification experiment to modify the flood-submerging simulation experiment based on the SCS-CN model and proves that the results generated by the modified experiment better reflect the realities. The modified flood-submerging simulation experiment is then applied to downtown Wuhan to obtain the quantitative data. The data are used to quantify the catchment capacities of the lots. Based on the rainfall collection capacities, the maximum surface rainfall runoff volume that would not cause flood is arrived at using the rainfall runoff formula. The maximum runoff volume represents the rainwater storage capacities of the lot based on the proportion of the green space that is identified within the study area. The results suggest that this rainwater storage capacity evaluation model works efficiently to identify the urban areas with flood risks and provides the rainwater runoff thresholds for different areas. Adjustments in the spatial patterns and proportions of the green space help ensure that the rainwater runoff volume is below the thresholds, thus contributing to the prevention and control of the urban flood risks. View Full-Text
Keywords: urban flood; hydrologic modeling; rainwater storage; land-use planning; green coverage; low-impact development; urban hydrologic processes urban flood; hydrologic modeling; rainwater storage; land-use planning; green coverage; low-impact development; urban hydrologic processes
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MDPI and ACS Style

Liu, Y.; Zhou, Y.; Yu, J.; Li, P.; Yang, L. Green Space Optimization Strategy to Prevent Urban Flood Risk in the City Centre of Wuhan. Water 2021, 13, 1517. https://doi.org/10.3390/w13111517

AMA Style

Liu Y, Zhou Y, Yu J, Li P, Yang L. Green Space Optimization Strategy to Prevent Urban Flood Risk in the City Centre of Wuhan. Water. 2021; 13(11):1517. https://doi.org/10.3390/w13111517

Chicago/Turabian Style

Liu, Yajing, Yan Zhou, Jianing Yu, Pengcheng Li, and Liuqi Yang. 2021. "Green Space Optimization Strategy to Prevent Urban Flood Risk in the City Centre of Wuhan" Water 13, no. 11: 1517. https://doi.org/10.3390/w13111517

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