The optimization of Low Impact Development placement considering life cycle cost using Genetic Algorithm

Huang, Jinhui Jeanne; Xiao, Meng; Yu, Liting; Yan, Ran; Zhang, Qian; Sun, Youyue; Zhao, Tong‐Tong

doi:10.1016/j.jenvman.2022.114700

Cited by 24 publications

(5 citation statements)

References 47 publications

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“…The research results indicate that it is important to investigate the sensitivity of the units designed in the system and study area, which are trade-offs between different possible decisions and uncertainties in future developments in a watershed area. J. J. Huang et al [59] also carried out LID planning optimization simulations using a combination of the SWMM-GA model. Optimization objective functions include runoff reduction, LID area, and life cycle cost.…”

Section: Lid Optimization Using Metaheuristic Algorithmsmentioning

confidence: 99%

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

Al Amin,

Sujono,

Triatmadja

2024

Cantilever

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Urban areas are more susceptible to flooding and water body contamination due to the detrimental effects of urbanization. As a result, a sustainable urban drainage system, also known as low impact development (LID) technique, is required. Although this technique can be extensively applied, the planning and design processes are multi-dimensional, multi-variable, and site-specific, which must consider various local conditions and factors. Consequently, these processes can be very complicated and time-consuming for professionals, necessitating support from computer modeling. This study intends to thoroughly explore the idea of LID modeling, various available computer models, and other tools for its optimization and decision-making processes. The most recent trustworthy journal publications that addressed the subjects under discussion were reviewed. This paper used the descriptive and comparative approaches as the analytical methods. According to the findings of the review, Storm Water Management Model (SWMM) is the computer model in LID modeling that is most frequently employed. This model is a fundamental package for dynamic urban rainfall-runoff modeling, and it has the benefits of being lightweight, simple to use, and an intuitive user interface. Besides, this model is public domain (free to use), open source, and interoperable with many hydro modeling applications. A specific LID editor module is also included in this model for modeling different LID units. To acquire the best LID planning and design from multiple criteria and alternatives, it is also necessary to use metaheuristic algorithms as an optimization model and a multi-criteria decision-making (MCDM) model in addition to the rainfall-runoff model. The authors believe combining the hydrologic and hydraulics models integrated with geographical information systems (GIS), metaheuristic algorithms, and MCDM is the most comprehensive and appropriate method for LID modeling in urban watersheds.

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Section: Lid Optimization Using Metaheuristic Algorithmsmentioning

confidence: 99%

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

Al Amin,

Sujono,

Triatmadja

2024

Cantilever

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“…The analysis of the existing literature reveals that the majority of studies focus on single life-cycle optimization, with only a limited number addressing multi-objective optimization [70][71][72][73][74]. For instance, some investigations concentrate solely on LCC targets [70,75]. However, considering the economic, environmental, and social impacts of GI throughout its life cycle, it is imperative to conduct multi-objective optimization assessments.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Comprehensive Performance of Green Infrastructure through a Life-Cycle Perspective: A Review

Wang

Sun

et al. 2023

Sustainability

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Climate change represents a paramount challenge for humanity in the 21st century. Green infrastructure (GI), due to its myriad environmental and societal benefits, has emerged as an essential natural life support system and a pivotal strategy to combat climate change-induced risks. Consequently, GI has garnered considerable global interest. As of now, comprehensive and systematic environmental impact assessments of GI are underway worldwide. Nonetheless, there remains a conspicuous scarcity of life-cycle approaches to delineate the evolutionary trajectory of this domain. Employing three bibliometric software tools—the R language “Bibliometrix” package (version 4.0.1), CiteSpace (version 6.2.R2 Basic), and “VOSviewer” (version 1.6.18)—this study scrutinizes the progression of the GI paradigm until 2022. An exhaustive review of 1124 documents published on the Web of Science between 1995 and 2022 facilitates an overarching evaluation of GI, encompassing environmental, economic, and social facets from a life-cycle standpoint. The analysis results reveal that (1) the majority of current studies accentuate the economic and environmental efficacy of GI throughout its life cycle, with the social performance receiving comparatively less focus, potentially due to the difficulties in formulating a social life-cycle-assessment database; (2) contemporary research predominantly concentrates on the life-cycle carbon footprint of GI, warranting further exploration into its water and carbon footprints; and (3) multi-objective optimization emerges as a promising avenue for future GI investigations. This review thus furnishes a comprehensive understanding of the performance of GI from a life-cycle perspective.

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“…The configuration and planning of GI constitute a pivotal aspect within the ambit of sponge city construction [3,25,26]. The malleability and assortment of GI components, coupled with spatial heterogeneity, display a profound influence on the quantitative analysis of regional characteristics and the judicious siting of GI [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Scenario-Based Green Infrastructure Installations for Building Urban Stormwater Resilience—A Case Study of Fengxi New City, China

Mao,

Li,

Bai

et al. 2024

Sustainability

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Global climate change has precipitated a surge in urban flooding challenges, prompting the imperative role of green infrastructure (GI) as the linchpin of sponge city construction to enhance urban sustainability and resilience. But the evaluation of urban stormwater resilience faces challenges due to the lack of a comprehensive evaluation framework taking the intrinsic features of the resilience system into account and the insufficient coverage of alternative scenarios’ performance under multiple rainfall return periods. This study, focusing on Fengxi New City, China, evaluates the suitability of GI (i.e., green roofs, rain gardens, and permeable pavements) and constructs a stormwater management model (SWMM) for urban stormwater hydrological simulation. This study also establishes a comprehensive urban stormwater resilience evaluation system and uses quantitative methods to unify the performances of scenarios under different rainfall return periods. Our analytical findings elucidate that the suitability of GI is predominantly concentrated in the northern and western areas of the study area, with the smallest suitable area observed for permeable pavements. Divergent GIs exhibit disparate performances, with rain gardens emerging as particularly efficacious. Importantly, the combination of multiple GIs yields a synergistic enhancement in resilience, underscoring the strategic advantage of adopting a diverse and integrated approach to GI implementation. This study facilitates a deeper understanding of urban stormwater resilience and assists in informed planning decisions for GI and sponge cities.

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The optimization of Low Impact Development placement considering life cycle cost using Genetic Algorithm

Cited by 24 publications

References 47 publications

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

Comprehensive Performance of Green Infrastructure through a Life-Cycle Perspective: A Review

Scenario-Based Green Infrastructure Installations for Building Urban Stormwater Resilience—A Case Study of Fengxi New City, China

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