Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China

Coupled grey and green infrastructure (CGGI) is increasingly recognized as a viable approach to sustainable urban stormwater management. This study evaluates CGGI and grey infrastructure (GREI)-only schemes with various degree of centralization of the layout (DCL) in addressing urban flood and drain...

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Main Authors: Sun, Chuanhao, Rao, Qiuyi, Xiong, Ziheng, Liu, Ming, Liu, Yulu, Fan, Chengliang, Li, Jianjun, Tan, Soon Keat, Wang, Mo, Zhang, Dongqing
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2025
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Online Access:https://hdl.handle.net/10356/183536
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spelling sg-ntu-dr.10356-1835362025-04-11T15:34:26Z Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China Sun, Chuanhao Rao, Qiuyi Xiong, Ziheng Liu, Ming Liu, Yulu Fan, Chengliang Li, Jianjun Tan, Soon Keat Wang, Mo Zhang, Dongqing School of Civil and Environmental Engineering Engineering Urban stormwater management Green infrastructure Coupled grey and green infrastructure (CGGI) is increasingly recognized as a viable approach to sustainable urban stormwater management. This study evaluates CGGI and grey infrastructure (GREI)-only schemes with various degree of centralization of the layout (DCL) in addressing urban flood and drainage issues in a historical and cultural district (HCD) which typically consists of high impervious surfaces, dense urban structures, and fragile heritage buildings. Yongqing Fang Community in Guangzhou, China, was selected as a case study in which the performance of the Grey-only and CGGI schemes are evaluated and compared. The results obtained indicated that the CGGI scheme was more advantageous in terms of cost-effectiveness and scalability, yielding potential savings of $30,500 to $163,400. Moreover, the fully decentralized layout of the two schemes could result in cost savings of 29.0% and 29.6%, respectively, over the fully centralized layout. However, CGGI shows marginally lower adaptability in response to extreme rainfall events compared to that of GREI-only solutions. Technical resilience (Tech-R) of GREI-only scored higher by 0.1% to 0.8%, 0.5% to 3.5%, and 0.7% to 4.8% for 10-year, 50-year, and 100-year rainfall scenarios, respectively. Nonetheless, CGGI schemes demonstrated superior adaptability in structural failure scenarios, and reduced surface overflow by 22.6%, 19.0%, and 18.4% compared to GREI for the same scenarios. In both the CGGI and GREI-only schemes, decentralized layouts are likely to outperform centralized layouts in both extreme rainfall events and in failure scenarios. These findings underscore the importance of decentralized layout of the drainage infrastructure which could enhance the hydrological performance of integrated drainage infrastructures, offering insights for due considerations in designing multi-objective infrastructures for urban flood mitigation in HCDs. Published version This work was supported by Guangdong Basic and Applied Basic Research Foundation, China [grant number 2023A1515030158], Guangzhou City School (Institute) Enterprise Joint Funding Project, China [grant number 2024A03J0317], and Graduate Student Innovation Ability Training Funding Program of Guangzhou University, grant number 2023GDJC. 2025-04-10T07:49:07Z 2025-04-10T07:49:07Z 2024 Journal Article Sun, C., Rao, Q., Xiong, Z., Liu, M., Liu, Y., Fan, C., Li, J., Tan, S. K., Wang, M. & Zhang, D. (2024). Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China. Ecological Indicators, 167, 112684-. https://dx.doi.org/10.1016/j.ecolind.2024.112684 1470-160X https://hdl.handle.net/10356/183536 10.1016/j.ecolind.2024.112684 2-s2.0-85205713761 167 112684 en Ecological Indicators © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Urban stormwater management
Green infrastructure
spellingShingle Engineering
Urban stormwater management
Green infrastructure
Sun, Chuanhao
Rao, Qiuyi
Xiong, Ziheng
Liu, Ming
Liu, Yulu
Fan, Chengliang
Li, Jianjun
Tan, Soon Keat
Wang, Mo
Zhang, Dongqing
Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
description Coupled grey and green infrastructure (CGGI) is increasingly recognized as a viable approach to sustainable urban stormwater management. This study evaluates CGGI and grey infrastructure (GREI)-only schemes with various degree of centralization of the layout (DCL) in addressing urban flood and drainage issues in a historical and cultural district (HCD) which typically consists of high impervious surfaces, dense urban structures, and fragile heritage buildings. Yongqing Fang Community in Guangzhou, China, was selected as a case study in which the performance of the Grey-only and CGGI schemes are evaluated and compared. The results obtained indicated that the CGGI scheme was more advantageous in terms of cost-effectiveness and scalability, yielding potential savings of $30,500 to $163,400. Moreover, the fully decentralized layout of the two schemes could result in cost savings of 29.0% and 29.6%, respectively, over the fully centralized layout. However, CGGI shows marginally lower adaptability in response to extreme rainfall events compared to that of GREI-only solutions. Technical resilience (Tech-R) of GREI-only scored higher by 0.1% to 0.8%, 0.5% to 3.5%, and 0.7% to 4.8% for 10-year, 50-year, and 100-year rainfall scenarios, respectively. Nonetheless, CGGI schemes demonstrated superior adaptability in structural failure scenarios, and reduced surface overflow by 22.6%, 19.0%, and 18.4% compared to GREI for the same scenarios. In both the CGGI and GREI-only schemes, decentralized layouts are likely to outperform centralized layouts in both extreme rainfall events and in failure scenarios. These findings underscore the importance of decentralized layout of the drainage infrastructure which could enhance the hydrological performance of integrated drainage infrastructures, offering insights for due considerations in designing multi-objective infrastructures for urban flood mitigation in HCDs.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Sun, Chuanhao
Rao, Qiuyi
Xiong, Ziheng
Liu, Ming
Liu, Yulu
Fan, Chengliang
Li, Jianjun
Tan, Soon Keat
Wang, Mo
Zhang, Dongqing
format Article
author Sun, Chuanhao
Rao, Qiuyi
Xiong, Ziheng
Liu, Ming
Liu, Yulu
Fan, Chengliang
Li, Jianjun
Tan, Soon Keat
Wang, Mo
Zhang, Dongqing
author_sort Sun, Chuanhao
title Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
title_short Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
title_full Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
title_fullStr Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
title_full_unstemmed Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, Guangzhou, China
title_sort optimized resilience coupled with cost-effectiveness for grey and green infrastructure: a case study in a historical and cultural area, guangzhou, china
publishDate 2025
url https://hdl.handle.net/10356/183536
_version_ 1829245299820855296