Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making

Yao, Yutong; Li, Jiake; Lv, Peng; Li, Ning; Jiang, Chunbo

doi:10.1016/j.jclepro.2022.133061

Cited by 24 publications

(12 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NSGA-Ⅱ is used as the optimization algorithm in this study for it could avoid the dilemma that traditional enumeration method cannot find the optimal solution and has been widely used in green infrastructures optimal design (Leng et al, 2021;Wan et al, 2022;Yao et al, 2022). The solution process was shown in Figure 7.…”

Section: Solution Of the Multi-objective Optimization Modelmentioning

confidence: 99%

“…However, the cost of these facilities construction is very high (Xu et al, 2017). The amount, area, and type of sponge facilities are determined by different investment levels in response to different control effects (Leng et al, 2021;Wang et al, 2022;Yao et al, 2022). Hence, the cost-benefit analysis, the key factor for sponge city construction (Liao et al, 2015;Mei et al, 2018), should be considered by designers to select the optimal schemes.…”

Section: Introductionmentioning

confidence: 99%

“…Determining the optimal scheme with a cost-benefit effect is a complex multi-objective optimization problem, which requires considering the tradeoff between different objectives, such as total runoff volume, pollutant loads, and costs (Xu et al, 2017;Wang et al, 2022). At present, a few researchers have conducted studies on the multi-objective optimization layout (She et al, 2021;Gao et al, 2022;Yao et al, 2022); Eckart et al (2018) proposed and developed a coupled optimization and simulation model by linking the Storm Water Management Model (SWMM) to the Borg Multi-objective Evolutionary Algorithm (Borg MOEA). They selected the minimizing peak flow in storm sewers, thus reducing the total runoff and minimizing the cost in order to find the optimal LID plan.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

Liang

Zhang

Liu

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

The cost-benefit is a key factor when selecting an appropriate sponge city construction scheme. The research of applying intelligent technology to find cost-benefit efficient planning and construction of sponge city is urgently required. This paper established a multi-objective simulation optimization framework of sponge city construction which considered minimization of runoff control rate, pollutant control rate and life-cycle cost Non-dominated sorting genetic algorithm (NSGA-II) was successfully coupled to Storm water management model to complete the simulation-optimization process. A case study in Xining, China, was conducted to demonstrate the proposed framework. The results of this research suggested that 1) different sponge city construction schemes lead to different runoff control rates and pollutant control rates although under the same investment; 2) the runoff control rate and pollutant control rate total suspended solids decreased with the increase of the rainfall return period, while the cost of sponge city construction increased with the increase of rainfall return period. Furthermore, for T = 2-year, the sponge facility exhibited the most stable control effect on runoff and pollutants among the three different return periods (T = 2-year, 5-year, 10-year); 3) sponge city construction exhibited a “cost-benefit” efficient interval. For T = 2-year, the cost-benefit high efficiency interval of sponge city construction is calculated between 1.2 billion and 1.8 billion; for T = 5-year, the interval is between 1.2 billion and 1.8 billion, while for T = 10-year, the interval is between 1.3 billion and 2.1 billion. The above observations provide reference for reasonable and effective sponge city construction in Xining, China.

show abstract

Section: Solution Of the Multi-objective Optimization Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

Liang

Zhang

Liu

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Behrouz et al [16] integrated the ostrich algorithm with the SWMM to develop an open-source calibration tool called OSTRICH-SWMM, which offers various optimisation algorithms for single-objective or multi-objective automatic calibration, thereby offering new tools for automatic SWMM calibration. In addition to optimising the model calibration process, optimisation algorithms are frequently used to couple hydrological models [17] and compare various development schemes and hydraulic structure layout scenarios. The algorithmic selection of models allows for a comprehensive consideration of ecological and environmental benefits, as well as cost conditions, significantly enhancing urban water management capabilities and efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Coupled Parameter Automation Calibration Module for Urban Stormwater Modelling

Gu,

Sun,

Gao

et al. 2024

Water

View full text Add to dashboard Cite

In the context of accelerating urbanisation, the issue of urban stormwater flooding security has garnered increasing attention. Further development of urban stormwater management techniques is imperative to achieve more stable, precise, and expeditious simulation outcomes. The calibration of model parameters, which is a pivotal phase in stormwater simulation endeavours, is hampered by challenges such as substantial subjectivity, time intensiveness, and low efficiency. Therefore, this study introduces a parameter calibration model coupled with the Non-dominated Sorting Genetic Algorithm III (NSGA-III). This model utilises the Nash–Sutcliffe efficiency (NSE) and peak relative error (PE) values for various rainfall events as objective functions to calibrate and assess the study target. The two rainfalls used for rate determination had NSE values greater than 0.9 and absolute PE values less than 0.17; the rainfall used for validation had NSE values greater than 0.9 and absolute PE values less than 0.27. Thus, the results of the model for the rate determination of the parameters are reliable. In addition, the inverted generation distance and hypervolume values indicate that the iterative process of the algorithm during population evolution demonstrated stable iterative outcomes and ensured sound population quality. Both reach relative stability after 40 iterations. In conclusion, the proposed multi-objective parameter calibration model integrated with NSGA-III offers dependable calibration results and robust computational efficacy, presenting novel avenues and perspectives for urban stormwater model parameter calibration and simulation.

show abstract

“…The escalating impact of global climate change has exacerbated the frequency and intensity of extreme storms, precipitating a more acute urban flood [1][2][3][4]. Concurrently, rapid urbanization has accelerated the expansion of impermeable surfaces within urban areas, thereby disrupting natural hydrological processes [5,6].…”

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

View full text Add to dashboard Cite

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.

show abstract

Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making

Cited by 24 publications

References 36 publications

Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

A Coupled Parameter Automation Calibration Module for Urban Stormwater Modelling

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

Contact Info

Product

Resources

About