Optimal Location and Sizing of Stormwater Basins at Watershed Scale

Zhen, Xiaoyue; Yu, Shaw L.; Lin, Jen‐Yang

doi:10.1061/(asce)0733-9496(2004)130:4(339)

Cited by 110 publications

(51 citation statements)

References 5 publications

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“…Elliot, 2009;Lee et al, 2005) or focus on optimizing a single type of BMP, such as detention basins (e.g. Harrell and Ranjithan, 2003;Zhen et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, a concept called BMPs, or alternatively known as the low impact development (LID), has been promoted in order to control the quality and quantity of urban floodwaters. Zhen et al (2004) used a heuristic optimization technique that was coupled with a watershed model, i.e. the Annualized Agricultural Nonpoint Source Pollution model (AnnAGNPS), to minimize pollution cost under various combinations of BMPs.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization for combined quality–quantity urban runoff control

Zare

Saghafian

Shamsai

2012

Hydrol. Earth Syst. Sci.

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Abstract. Urban development affects the quantity and quality of urban surface runoff. In recent years, the best management practices (BMPs) concept has been widely promoted for control of both quality and quantity of urban floods. However, means to optimize the BMPs in a conjunctive quantity/quality framework are still under research. In this paper, three objective functions were considered: (1) minimization of the total flood damages, cost of BMP implementation and cost of land-use development; (2) reducing the amount of TSS (total suspended solid) and BOD5 (biological oxygen demand), representing the pollution characteristics, to below the threshold level; and (3) minimizing the total runoff volume. The biological oxygen demand and total suspended solid values were employed as two measures of urban runoff quality. The total surface runoff volume produced by subbasins was representative of the runoff quantity. The construction and maintenance costs of the BMPs were also estimated based on the local price standards. Urban runoff quantity and quality in the case study watershed were simulated with the Storm Water Management Model (SWMM). The NSGA-II (Non-dominated Sorting Genetic Algorithm II) optimization technique was applied to derive the optimal trade off curve between various objectives. In the proposed structure for the NSGA-II algorithm, a continuous structure and intermediate crossover were used because they perform better as far as the optimization efficiency is concerned. Finally, urban runoff management scenarios were presented based on the optimal trade-off curve using the k-means method. Subsequently, a specific runoff control scenario was proposed to the urban managers.

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“…Elliot, 2009;Lee et al, 2005) or focus on optimizing a single type of BMP, such as detention basins (e.g. Harrell and Ranjithan, 2003;Zhen et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization for combined quality–quantity urban runoff control

Zare

Saghafian

Shamsai

2012

Hydrol. Earth Syst. Sci.

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“…PND_K (bottom permeability coefficient), PND_FR (fraction of sub-watershed area draining to the pond), PND_PSA (surface area of ponds) and PND_PVOL (volume of the ponds) in the SWAT model can be adjusted for sediment loss calculation [65]. For the AnnAGNPS model, sediment accumulation and resuspension processes were added to generate an accurate representation of sediment basins and detention ponds [46]. Decisive inputs, such as the detention time for a specific storm and a pond's geometric parameters (surface area, depth), can be modified in the context of watershed-scale modelling.…”

Section: Representation Of Bmpsmentioning

confidence: 99%

Assessment of Agricultural Best Management Practices Using Models: Current Issues and Future Perspectives

Xie

Chen

Shen

2015

Water

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Best management practices (BMPs) are the most effective and practicable means to control nonpoint source (NPS) pollution at desired levels. Models are valuable tools to assess their effectiveness. Watershed managers need to choose appropriate and effective modelling methods for a given set of conditions. This paper considered state-of-the-art modelling strategies for the assessment of agricultural BMPs. Typical watershed models and specific models were analyzed in detail. Further improvements, including simplified tools, model integration, and incorporation of climate change and uncertainty analysis were also explored. This paper indicated that modelling methods are strictly scale dependent, both spatially and temporally. Despite current achievements, there is still room for future research, such as broadening the range of the pollutants considered, introducing more local BMPs, improving the representation of the functionality of BMPs, and gathering monitoring date for validation of modelled results. There is also a trend towards agricultural decision support systems (DSSs) for assessing agricultural BMPs, in which models of different scales are seamlessly integrated to bridge the scale and data gaps. This review will assist readers in model selection and development, especially those readers concerned about NPS pollution and water quality control.

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“…Literature on the design and optimization of BMP has been reviewed. Zhen et al (2004) the placement and configuration of BMP at watershed scale. PerezPedini et al (2005) described a distributed hydrologic model combined with a genetic algorithm to determine the optimal location of infiltration-based BMP.…”

Section: Introductionmentioning

confidence: 99%