Multi-objective optimization for green-grey infrastructures in response to external uncertainties

Leng, Linyuan; Jia, Haifeng; Chen, Albert S.; Zhu, David Z.; Xu, Te; Yu, Shen

doi:10.1016/j.scitotenv.2021.145831

Cited by 42 publications

(24 citation statements)

References 41 publications

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“…SWMM has many parameters that are difficult to be determined directly, such as Max/Min infiltration rate, Manning’s coefficient for impervious/pervious area and conduits, depth of depression storage on impervious/pervious area, etc., in the hydrology module, buildup and washoff functions in the water quality module. Therefore, the parameters that are hard to be determined directly were first set referring to the SWMM Manual and past studies [ 25 ], and then, those were revised manually according to the past realistic rainfall events. Nash–Sutcliffe efficiency coefficient (NSE) is a commonly used method to test the goodness-of-fit between observed values and simulated results of hydrological models and was chosen to evaluate the accuracy of the model in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Although having additional aesthetic and ecological benefits compared to gray infrastructure, many studies have also proven that green infrastructure is more ineffective in controlling high-intensity rainfall of short duration, which makes it become an uneconomic measure correspondingly [ 18 , 19 , 20 , 21 ]. Since green and gray infrastructure have their own advantages, more and more studies have begun to focus on studying the combined green-gray infrastructure from a compound perspective [ 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…Optimizing pipe networks has little practical value, for retrofitting pipe networks is extremely hard to realize in the built areas [ 32 ]. In addition, green infrastructure can provide significant indirect additional benefits while meeting direct goals [ 26 ], however, the results of many studies that integrated green and gray infrastructure to optimize was incomplete because these additional benefits were neglected [ 25 , 27 , 33 ]. Moreover, the optimization method of most studies were based on the unchanged condition and merely considered initial construction cost as a cost function [ 34 , 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties

Dong

Yuan

Song

et al. 2021

IJERPH

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Non-Point Source Pollution (NPS) caused by polluted and untreated stormwater runoff discharging into water bodies has become a serious threat to the ecological environment. Green infrastructure and gray infrastructure are considered to be the main stormwater management measures, and the issue of their cost-effectiveness is a widespread concern for decision makers. Multi-objective optimization is one of the most reliable and commonly used approaches in solving cost-effectiveness issues. However, many studies optimized green and gray infrastructure under an invariant condition, and the additional benefits of green infrastructure were neglected. In this study, a simulation-optimization framework was developed by integrated Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm (NSGA-II) to optimize green and gray infrastructure for NPS control under future scenarios, and a realistic area of Sponge City in Nanchang, China, was used as a typical case. Different levels of additional benefits of green infrastructure were estimated in the optimizing process. The results demonstrated that green-gray infrastructure can produce a co-benefit if the green infrastructure have appropriate Value of Additional Benefits (VAB), otherwise, gray infrastructure will be a more cost-effectiveness measure. Moreover, gray infrastructure is more sensitive than green infrastructure and green-gray infrastructure under future scenarios. The findings of the study could help decision makers to develop suitable planning for NPS control based on investment cost and water quality objectives.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties

Dong

Yuan

Song

et al. 2021

IJERPH

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“…The sustainable drainage assets considered in this study include permeable pavements, infiltration trenches, bio-retention cells, rain gardens, rain barrels, and green roofs. Since each of these assets has different performance characteristics, their efficient combination can help achieve an effective design for a specific urban drainage system (Leng et al 2021;Yang and Zhang 2021). For instance, conventional asphalt and concrete pavements may be replaced by permeable paving materials, which are generally made of a pervious layer laid on a stone reservoir, or interlocking pavers to enhance infiltration.…”

Section: Sustainable Drainage Assetsmentioning

confidence: 99%

“…1 Introduction findings by Leng et al (2021) which demonstrate the benefits of synergistic implementation of grey and green infrastructure as well as the superiority of the latter in providing environmental benefits. Hou et al (2019) used a combination of the p-median model and the ant colony optimization algorithm based on amount of on-site harvested rainwater, to find an efficient sustainable drainage design.…”

mentioning

confidence: 99%

Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes

Seyedashraf

Bottacin‐Busolin

Harou

2021

Water Resour Manage

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Sustainable urban drainage systems are multi-functional nature-based solutions that can facilitate flood management in urban catchments while improving stormwater runoff quality. Traditionally, the evaluation of the performance of sustainable drainage infrastructure has been limited to a narrow set of design objectives to simplify their implementation and decision-making process. In this study, the spatial design of sustainable urban drainage systems is optimized considering five objective functions, including minimization of flood volume, flood duration, average peak runoff, total suspended solids, and capital cost. This allows selecting an ensemble of admissible portfolios that best trade-off capital costs and the other important urban drainage services. The impact of the average surface slope of the urban catchment on the optimal design solutions is discussed in terms of spatial distribution of sustainable drainage types. Results show that different subcatchment slopes result in non-uniform distributional designs of sustainable urban drainage systems, with higher capital costs and larger surface areas of green assets associated with steeper slopes. This has two implications. First, urban areas with different surface slopes should not have a one-size-fits-all design policy. Second, spatial equality must be taken into account when applying optimization models to urban subcatchments with different surface slopes to avoid unequal distribution of environmental and human health co-benefits associated with green drainage infrastructure.

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Optimisation of selection and placement of nature-based solutions for climate adaptation: a literature review on the modelling and resolution approaches

Capgras,

Barhebwa Mushamuka,

Feuilleaubois

2023

Environ Syst Decis

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Multi-objective optimization for green-grey infrastructures in response to external uncertainties

Cited by 42 publications

References 41 publications

Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties

Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties

Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes

Optimisation of selection and placement of nature-based solutions for climate adaptation: a literature review on the modelling and resolution approaches

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