An Uncertainty Analysis of Low-Impact Development Based on the Hydrological Process with Invariant Parameters and Equivalent Effects: Supporting Sustainable Urban Planning DOI Open Access

Xinyi Shu,

Chenlei Ye,

Zongxue Xu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2587 - 2587

Published: March 14, 2025

Climate change and urbanization are increasingly threatening urban environments through pluvial flooding, prompting the widespread use of coupled hydrological–hydrodynamic models. These models provide accurate flood simulations forecasting capabilities, they can analyze benefits low-impact development stormwater control measures in surface-flooding processes. However, most studies have primarily focused on analyzing effects for specific events, lacking an analytical framework that accounts uncertainty. This research proposes a evaluating uncertainty pluvial-flood control, combining urban-scale simulation, modeling, analysis, while constructing nonlinear dependencies between features reflecting surface-flood-control benefits. Based analysis copula methods, this aims to support sustainable planning decision-making approach management. The results show assessment method based generalized likelihood is effective. By comparing posterior joint distribution with prior distribution, different governance performance metrics, joint, synergistic, conditional, combined all exhibit consistent trends as metrics change. current presents innovative simulating at scale, providing valuable insights mitigation strategies.

Language: Английский

A multi-objective decision-making framework for implementing green-grey infrastructures to enhance urban drainage system resilience DOI
Husnain Tansar, Huan‐Feng Duan, Ole Mark

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 620, P. 129381 - 129381

Published: March 11, 2023

Language: Английский

Citations

49

Algorithmic green infrastructure optimisation: Review of artificial intelligence driven approaches for tackling climate change DOI Creative Commons
Abdulrazzaq Shaamala, Tan Yiğitcanlar, Alireza Nili

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 101, P. 105182 - 105182

Published: Jan. 7, 2024

Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality cities by offering various benefits such as greening, cooling, water, air quality, managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation artificial intelligence (AI) technologies for optimisation perceived powerful approach A knowledge gap, nevertheless, remains research on AI-driven tackling climate change. This study aims consolidate comprehension optimisation, particularly methodology adopts PRISMA protocol perform systematic literature review. review results are analysed from six aspects—i.e., objectives, objectives categories, indicators, models, types, scales. findings revealed: (a) was mainly undertaken areas biodiversity ecosystem security, energy efficiency, public health, heat islands, water management; (b) Indicator categories were concentrated indicators related GI, objective, other general/supporting indicators. Based these findings, framework developed enhance understanding process within realm

Language: Английский

Citations

29

How nature-based solutions can enhance urban resilience to flooding and climate change and provide other co-benefits: A systematic review and taxonomy DOI
Kamaleddin Aghaloo, Ayyoob Sharifi, Nader Habibzadeh

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 95, P. 128320 - 128320

Published: March 30, 2024

Language: Английский

Citations

23

Multi-stage optimization framework for synergetic grey-green infrastructure in response to long-term climate variability based on shared socio-economic pathways DOI
Shiqi Zhou,

Haifeng Diao,

Jiahui Wang

et al.

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123091 - 123091

Published: Jan. 6, 2025

Language: Английский

Citations

10

Can flood resilience of green-grey-blue system cope with future uncertainty? DOI
Dingkun Yin, Xiaoyue Zhang, Yihua Cheng

et al.

Water Research, Journal Year: 2023, Volume and Issue: 242, P. 120315 - 120315

Published: July 5, 2023

Language: Английский

Citations

27

Low impact development planning through a comprehensive optimization framework: Current gaps and future perspectives DOI
Xiaoyue Zhang, Haifeng Jia

Resources Conservation and Recycling, Journal Year: 2023, Volume and Issue: 190, P. 106861 - 106861

Published: Jan. 4, 2023

Language: Английский

Citations

26

Multi-objective optimization methodology for green-gray coupled runoff control infrastructure adapting spatial heterogeneity of natural endowment and urban development DOI
Zijing Liu,

Zhaoxing Han,

Xiaoyu Shi

et al.

Water Research, Journal Year: 2023, Volume and Issue: 233, P. 119759 - 119759

Published: Feb. 20, 2023

Language: Английский

Citations

25

A critical review on optimization and implementation of green-grey infrastructures for sustainable urban stormwater management DOI Creative Commons
Husnain Tansar, Fei Li, Feifei Zheng

et al.

AQUA - Water Infrastructure Ecosystems and Society, Journal Year: 2024, Volume and Issue: 73(6), P. 1135 - 1150

Published: May 29, 2024

ABSTRACT Green-grey infrastructures' implementation has progressed significantly in cities around the globe for sustainable stormwater management. This review study conducted on green-grey optimization represented recent research trends, existing status, possible gaps, and future directions recommendations needed further improvements. The findings show that infrastructures got significant attention recently (after 2012) because of accessibility to computational resources development hydrological-hydraulic models algorithms. Furthermore, is mostly ten countries including China, USA Iran ranked first three places, respectively, delivering their advantages other with essential awareness knowledge. Most previous studies considered particular quantitative qualitative objectives these were at smaller retrofitting scales, therefore, need expand scope towards socio-ecological consideration larger areas or multi-stage planning, designing, implementation. Moreover, recommended consider stakeholders’ participation preliminary planning designing stages successful management approaches. Lastly, surrogate-based approaches instead traditional methods can overcome burden time future.

Language: Английский

Citations

10

An enhanced framework for simulating urban pluvial flooding: Integrating nested watersheds and urban areas with spatial heterogeneity DOI

Chenlei Ye,

Weihong Liao, Zongxue Xu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132875 - 132875

Published: Feb. 1, 2025

Language: Английский

Citations

1

Multi-stage planning of LID-GREI urban drainage systems in response to land-use changes DOI
Yu Zhang, Mo Wang, Dongqing Zhang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 859, P. 160214 - 160214

Published: Nov. 14, 2022

Language: Английский

Citations

29