A review of models for low impact urban stormwater drainage

Elliott, Alexander H.; Trowsdale, Sam

doi:10.1016/j.envsoft.2005.12.005

Cited by 541 publications

(316 citation statements)

References 13 publications

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“…Models that include information of the cycle of the wastewater as rainfall-runoff, hydraulic transport, pollutant transport process, overflow-runoff, and WWTP [84,85]. 2.…”

Section: Modeling Approachesmentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

201

113

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Urban drainage systems (UDS) may be considered large-scale systems given their large number of associated states and decision actions, making challenging their real-time control (RTC) design. Moreover, the complexity of the dynamics of the UDS makes necessary the development of strategies for the control design. This paper reviews and discusses several techniques and strategies commonly used for the control of UDS. Moreover, the models to describe, simulate, and control the transport of wastewater in UDS are also reviewed.

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“…Models that include information of the cycle of the wastewater as rainfall-runoff, hydraulic transport, pollutant transport process, overflow-runoff, and WWTP [84,85]. 2.…”

Section: Modeling Approachesmentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

201

113

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“…One of the key limiting factors in the widespread adoption of such systems is the lack of adequate analytical and modeling tools (Elliot and Trowsdale, 2007). The availability of an effective LID modeling software could encourage a wider adoption of LID principles.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive numerical analysis of the hydraulic behavior of a permeable pavement

Brunetti

Šimůnek

Piro

2016

Journal of Hydrology

120

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a b s t r a c tThe increasing frequency of flooding events in urban catchments related to an increase in impervious surfaces highlights the inadequacy of traditional urban drainage systems. Low Impact Development (LID) techniques have proven to be a viable and effective alternative by reducing stormwater runoff and increasing the infiltration and evapotranspiration capacity of urban areas. However, the lack of adequate modeling tools represents a barrier in designing and constructing such systems. This paper investigates the suitability of a mechanistic model, HYDRUS-1D, to correctly describe the hydraulic behavior of permeable pavement installed at the University of Calabria. Two different scenarios of describing the hydraulic behavior of the permeable pavement system were analyzed: the first one uses a singleporosity model for all layers of the permeable pavement; the second one uses a dual-porosity model for the base and sub-base layers. Measured and modeled month-long hydrographs were compared using the Nash-Sutcliffe efficiency (NSE) index. A Global Sensitivity Analysis (GSA) followed by a Monte Carlo filtering highlighted the influence of the wear layer on the hydraulic behavior of the pavement and identified the ranges of parameters generating behavioral solutions. Reduced ranges were then used in the calibration procedure conducted with the metaheuristic Particle swarm optimization (PSO) algorithm for the estimation of hydraulic parameters. The best fit value for the first scenario was NSE = 0.43; for the second scenario, it was NSE = 0.81, indicating that the dual-porosity approach is more appropriate for describing the variably-saturated flow in the base and sub-base layers. Estimated parameters were validated using an independent, month-long set of measurements, resulting in NSE values of 0.43 and 0.86 for the first and second scenarios, respectively. The improvement in correspondence between measured and modeled hydrographs confirmed the reliability of the combination of GSA and PSO in dealing with highly dimensional optimization problems. Obtained results have demonstrated that PSO, due to its easiness of implementation and effectiveness, can represent a new and viable alternative to traditional optimization algorithms for the inverse estimation of unsaturated hydraulic properties. Finally, the results confirmed the suitability and the accuracy of HYDRUS-1D in correctly describing the hydraulic behavior of permeable pavements.

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“…A great number of integrated models have been developed, tested and applied in the last decade with main focus on combined sewer systems, whereas diffuse pollution loads deriving from separate systems and stormwater treatment have received little attention from modelers, with some relevant exceptions (see for example the review in Elliott and Trowsdale, 2007). Also, as discussed by Bertrand-Krajewski (2007), stormwater quality modeling is affected by significant sources of uncertainty, which may limit the application of these tools in practice.…”

Section: Introductionmentioning

confidence: 99%