2017
DOI: 10.3176/proc.2017.3.02
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Modelling stormwater runoff, quality, and pollutant loads in a large urban catchment

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Cited by 16 publications
(13 citation statements)
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“…where K W is a washoff coefficient, q is the runoff rate over the subcatchment, and N W is a washoff exponent (U. S. Envrionmental Protection Agency 2016). Generic values for these empirically derived coefficients and exponential terms for modeling pollutant loads are available in the EPA SWMM Reference Manuals (U. S. Envrionmental Protection Agency 2016), although these parameters can be highly variable and controlled by localized factors, including landscape topography and land use (Di Modugno et al 2015;Maharjan, Pachel, and Loigu 2017;Muthusamy et al 2018).…”
Section: Modeling Cesium Washoffmentioning
confidence: 99%
See 1 more Smart Citation
“…where K W is a washoff coefficient, q is the runoff rate over the subcatchment, and N W is a washoff exponent (U. S. Envrionmental Protection Agency 2016). Generic values for these empirically derived coefficients and exponential terms for modeling pollutant loads are available in the EPA SWMM Reference Manuals (U. S. Envrionmental Protection Agency 2016), although these parameters can be highly variable and controlled by localized factors, including landscape topography and land use (Di Modugno et al 2015;Maharjan, Pachel, and Loigu 2017;Muthusamy et al 2018).…”
Section: Modeling Cesium Washoffmentioning
confidence: 99%
“…The washoff parameter values we used in this case study were informed by published values from studies of TSS washoff featuring similar land use types (Temprano et al 2006;Hood, Reihan, and Loigu 2007;Maharjan, Pachel, and Loigu 2017). The range of values reported in these studies, along with site-specific knowledge of our study area and a simple assessment with a cumulative loss model, guided washoff coefficient and exponent selection for this case study (Table 2).…”
Section: Modeling Cesium Washoffmentioning
confidence: 99%
“…Equations (13), (15) and (16) constitute the dual-time marching system of PipeAC that is applicable in a system with mixed open-channel and surcharged conduits. From any discrete time step n in real time we take pseudo-time steps m = {1, 2, 3...} until we reach a pseudo-time steady-state (∂/∂τ = 0), at which point we will have converged to the discrete real-time march equations for the unknown n + 1 step: momentum:…”
Section: Semi-discrete Governing Equationsmentioning
confidence: 99%
“…There is an ongoing need for city-wide models of stormwater networks to facilitate real-time modeling and operational control [1][2][3], design for urban growth [4][5][6], low-impact development [7][8][9], flood mitigation [10][11][12], runoff water quality [13], and address impacts of the changing climate [14,15]. Such models must be computationally efficient to allow a large number of simulations for calibration [16], design optimization [17,18], Monte-Carlo uncertainty analysis [19], and simulation of stochastic rainstorms instead of a single design storm [20,21]; however, the models must also be detailed and comprehensive is their treatment of the piping system for an entire city [22].…”
Section: Introductionmentioning
confidence: 99%
“…The estimation of stormwater quantity has been a requirement in evaluating compliance of stormwater management regulations and in implementing effective control measures [ 13 ]. Many studies have used field measurements, experimental watersheds, and statistical modeling to evaluate the impact of urbanization on surface direct runoff [ 1 , 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%