Evaluating Implementation of LID/BMP in Storm Water System using EPA SUSTAIN

Paul, Sabu; Calmbacher, Joni; Manguerra, Henry; Wellborn, John B.

doi:10.2175/193864711802864796

Cited by 4 publications

(3 citation statements)

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“…The function of the surrogate model is close to the numerical model. Therefore, the surrogate model is often used to replace the numerical model for optimization calculations to reduce the calculation load (Paul et al, 2011;Guo et al, 2021;Liu et al, 2020). Common surrogate models include polynomial response surface method (RSM), Kriging model, radial basis functions (RBFs), neural network (NN), etc.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Low-Impact Development Facility Area Based on a Surrogate Model

Feng,

Yang,

2023

Water Resour Manage

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Low impact development (LID) facilities are an important element of sponge cities. In this paper, a system of siting suitability indicators was established for three types of LID facility: green roofs, permeable pavement and rain gardens. Based on the superposition analysis tool of ArcGIS, the suitable area and its upper limit of the LID facilities in each sub-catchment were determined respectively. A nonlinear function of the LID deployment area and rainfall characteristics was constructed separately using a multi-layer perceptron (MLP) as a surrogate model. The results showed that: (1) The upper limit of the suitable area for the deployment of green roofs in each sub-catchment ranged from 5.46% to 22.87%. The upper limit of the suitable layout area for permeable pavement was between 8.31% and 23.65%. The maximum percentage of suitable area for rain gardens was between 18.12% and 36.95%. (2) The nal layout scheme of the LID facilities was selected when the total out ow from the sub-catchment was 10,700,000 m 3 , the peak discharge was 3.49 m 3 /s and the total investment in construction and management was 0.76 billion Yuan. (3) The total out ow reduction rate of the sub-catchment under the LID model ranged from 32.15% to 40.29%, and the peak discharge reduction rate ranged from 17.93% to 36.20%. (4) The computation time of the surrogate optimization model could be compressed to 0.37% of that of SWMM violent optimization. The surrogate optimization model had both good convergence measure and diversity measure. This paper provides new ideas for the optimal deployment of LID facilities.

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Section: Introductionmentioning

confidence: 99%

Optimization of the Low-Impact Development Facility Area Based on a Surrogate Model

Feng,

Yang,

2023

Water Resour Manage

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Section: Introductionmentioning

confidence: 99%

Optimization of low-impact development facility area based on surrogate model

Feng

Yang

2023

Preprint

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Low impact development (LID) facilities are an important element of sponge cities. In this paper, a system of siting suitability indicators was established for three types of LID facility: green roofs, permeable pavement and rain gardens. Based on the superposition analysis tool of ArcGIS, the suitable area and its upper limit of the LID facilities in each sub-catchment were determined respectively. A non-linear function of the LID deployment area and rainfall characteristics was constructed separately using a multi-layer perceptron (MLP) as a surrogate model. The results showed that: (1) The upper limit of the suitable area for the deployment of green roofs in each sub-catchment ranged from 5.46% to 22.87%. The upper limit of the suitable layout area for permeable pavement was between 8.31% and 23.65%. The maximum percentage of suitable area for rain gardens was between 18.12% and 36.95%. (2) The final layout scheme of the LID facilities was selected when the total outflow from the sub-catchment was 10,700,000 m3, the peak discharge was 3.49 m3/s and the total investment in construction and management was 0.76 billion Yuan. (3) The total outflow reduction rate of the sub-catchment under the LID model ranged from 32.15% to 40.29%, and the peak discharge reduction rate ranged from 17.93% to 36.20%. (4) The computation time of the surrogate optimization model could be compressed to 0.37% of that of SWMM violent optimization. The surrogate optimization model had both good convergence measure and diversity measure. This paper provides new ideas for the optimal deployment of LID facilities.

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“…e general process and method of LIDs design in urban areas are shown in Figure 1. At first, the Urban Stormwater Treatment and Analysis Integration (SUS-TAIN), a system to select best management practices (BMPs) developed by US EPA, is used to analyse the optimal combination of LIDs and BMPs [13]. Jia et al [14] estimate the location and layout of LIDs BMPs taking SUSTAIN system as a planning support tool.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

Men

Jiang

et al. 2020

Mathematical Problems in Engineering

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Aiming at the optimization layout of distributed low-impact development (LID) practices in the sponge city, a new mathematical method combining Stormwater Management Model (SWMM) and preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) was developed and was applied in the Ximen waterlogged area of Pingxiang City. Firstly, a block-scaled rainfall-runoff model was built in the study area by using SWMM. Then, an LIDs area optimization model was established by linking the SWMM and the PICEA-g based on the Matlab platform, which took the area ratios of various LIDs in each block as decision variables and took the total runoff, peak flow, suspended substance (SS) pollutant, and LIDs cost as objective functions. Thus, the problem of LIDs layout was turned into a mathematical optimization issue. So the cost-benefit optimal solutions with different emphases were found by using this algorithm, and the LIDs layout optimal scheme for this area was further analysed and verified by rainfall-runoff model. The results show that the total runoff reduction rates of the system reach a maximum of 21.8%, the peak flow reduction rates of the system are more than 10%, and the SS pollutant reduction rates are reduced by about 30% compared with before LIDs under the design storms of different return periods. The reduction rates of each runoff index are higher than the nondominated sorting genetic algorithm II (NSGA-II) method, and decision-makers can more effectively analyse the cost-benefit optimal solution from the Pareto solution sets. Therefore, the LIDs layout optimization method proposed in this paper has obvious advantages in solving similar many-objective optimization problems (MOOPs) in sponge city construction.

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Evaluating Implementation of LID/BMP in Storm Water System using EPA SUSTAIN

Cited by 4 publications

References 0 publications

Optimization of the Low-Impact Development Facility Area Based on a Surrogate Model

Optimization of the Low-Impact Development Facility Area Based on a Surrogate Model

Optimization of low-impact development facility area based on surrogate model

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

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