Hydraulic Model for Sedimentation in Storm-Water Detention Basins

Takamatsu, Masatsugu; Barrett, Michael E.; Charbeneau, Randall J.

doi:10.1061/(asce)ee.1943-7870.0000175

Cited by 16 publications

(5 citation statements)

References 15 publications

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“…That is, it is necessary to specify the values of the installation cost functions of the new conduits and the investment cost for the construction of the new STs to be installed at the nodes. This involves determining the values of the parameters α and β of Equation (4) and parameters A, B and C of Equation (5). In this case, price databases have been used for the area where the network is located (Colombia).…”

Section: Application Of the Drainage Network Rehabilitation Methodolomentioning

confidence: 99%

“…Due to urban area space restrictions, alternative systems for the treatment of runoff water are needed. For this, Takamatsu et al [5] presented the design of a rainwater storage system as part of the complementary structure of road drainage. They developed a mathematical model based on the hydraulic principals to estimate the efficiency of the pollutant elimination.…”

Section: Introductionmentioning

confidence: 99%

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Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Ngamalieu-Nengoue

Iglesias-Rey

Martínez-Solano

et al. 2019

Water

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The drainage networks of our cities are currently experiencing a growing increase in runoff flows, caused mainly by the waterproofing of the soil and the effects of climate change. Consequently, networks originally designed correctly must endure floods with frequencies much higher than those considered in the design phase. The solution of such a problem is to improve the network. There are several ways to rehabilitate a network: conduit substitution as a former method or current methods such as storm tank installation or combined use of conduit substitution and storm tank installation. To find an optimal solution, deterministic or heuristic optimization methods are used. In this paper, a methodology for the rehabilitation of these drainage networks based on the combined use of the installation of storm tanks and the substitution of some conduits of the system is presented. For this, a cost-optimization method and a pseudo-genetic heuristic algorithm, whose efficiency has been validated in other fields, are applied. The Storm Water Management Model (SWMM) model for hydraulic analysis of drainage and sanitation networks is used. The methodology has been applied to a sector of the drainage network of the city of Bogota in Colombia, showing how the combined use of storm tanks and conduits leads to lower cost rehabilitation solutions.Most of the previous works about the usage of STs are focused on the issue of maximizing the quality of poured water, not to control the potential overflows that may occur due to excessive rainwater, but some studies have been carried out in order to show that STs can also reduce floods. One of the first studies that relate the usage of STs with the rainwater variation due to climate change was done by Andrés-Domenech et al. [10]. The study focused on the effects originating from changes in the rainfall regimes on the efficiency of the actual drainage systems. The proposed analytical statistical model permits us to evaluate the overflow reduction efficiency and the retention tank's volumetric efficiency as a function of the expected climate behavior and urban basins. The tank's efficiency sensitivity is evaluated under the analysis of certain changes in the precipitation. The results show the ability of STs to partially mitigate the resulting effects of climate change. Andrés-Domenech et al. based their work in the same approach as Butler and Schütze [11]: integrate simulation models to obtain an optimum control of the sanitary draining systems. For this purpose, Butler and Schütze developed a model (SYNOPSIS) consisting of a series of sub-models of the sewage network, the treatment plant and the behavior of the natural stream over which the system's evacuation will be made. These sub-models, together with a developed control module, allow the development of water control strategies in order to minimize the impact on the water evacuation. The use of simulation techniques is simple for urban wastewaters. Moreover, the simulation techniques enable water control solutions that were not possi...

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Section: Application Of the Drainage Network Rehabilitation Methodolomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Ngamalieu-Nengoue

Iglesias-Rey

Martínez-Solano

et al. 2019

Water

View full text Add to dashboard Cite

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“…There are several methods for flood control and peak discharge reduction such as structural or non-structural methods and some early warning methods (Erpicum, Dewals, Archambeau, Detrembleur, & Pirotton, 2010;Takamatsu, Barrett, & Charbeneau, 2009). The structural methods use physical activities to control or reduce flood peaks and the non-structural methods used flood…”

Section: Introductionmentioning

confidence: 99%

Developing a mathematical framework in preliminary designing of detention rockfill dams for flood peak reduction

Riahi-Madvar

Dehghani

Akib

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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Hydraulic designing of rockfill detention dam is based on the treatment of nondarcian and non-linear turbulence flow in coarse porous media. Previous literature focused only on the regular outlet ponds, and there is a shortcoming in the design methodology for detention rockfill dams. So, this paper develops a simple novel design framework by combining the governing equation of non-linear and non-darcian flow through rockfill dams with the hydrologic flood routing in reservoirs and hydraulic rules of storage dams. An innovative mathematical framework developed for preliminary designing of detention rockfill dams. The effects of type and size of rock fill materials, the shape of reservoir, shape, and intensity of inflow hydrograph on the peak of outflow, the volume of a stored flood, coefficients of flood peak and storage are investigated by parametric study in 36000 simulations. A simple design equation for preliminary designing of detention rockfill dams is provided and its applications in two design examples are presented. Its results indicate that the developed design equation (with R 2 = 0.996, MAE = 0.008, and RMSE = 0.0041) is superior to the previous equations and can be used in preliminary designing of detention rockfill dams for flood peak reduction.

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“…Data for field-based TE determination is often not available. Wilson and Barfield, 1985;Verstraeten and Poesen, 2001;Takamatsu et al, 2010), the long-term mean TE of larger reservoirs (> 1 ha) is usually predicted with empirical approaches due to the complexity of processes involved. TE is controlled by the hydraulic retention time and net settling velocity of suspended sediment particles in the reservoir basin (Stabel, 1987).…”

Section: Introductionmentioning

confidence: 99%

“…While physically-based models have been employed for the determination of the TE of small (≤ 1 ha) flood detention ponds (e.g. Wilson and Barfield, 1985;Verstraeten and Poesen, 2001;Takamatsu et al, 2010), the long-term mean TE of larger reservoirs (> 1 ha) is usually predicted with empirical approaches due to the complexity of processes involved.…”

Section: Introductionmentioning

confidence: 99%

Estimating the sediment trap efficiency of intermittently dry reservoirs: lessons from the Kruger National Park, South Africa

Reinwarth

Riddell

Glotzbach

et al. 2017

Earth Surf Processes Landf

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The assessment of sediment yield from reservoir siltation requires knowledge of the reservoir's sediment trap efficiency (TE). Widely used approaches for the estimation of the long‐term mean TE rely on the ratio of the reservoir's storage capacity (C) to its catchment size (A) or mean annual inflow (I). These approaches have been developed from a limited number of reservoirs (N ≤ 40), most of them located in temperate climate regions. Their general applicability to reservoirs receiving highly variable runoff such as in semi‐arid areas has been questioned. Here, we examine the effect of ephemeral inflow on the TE of 10 small (≤ 280 × 103 m3), intermittently dry reservoirs located in the Kruger National Park. Fieldwork was conducted to determine the storage capacity of the reservoir basins. The frequency and magnitude of spillage events was simulated with the daily time step Pitman rainfall–runoff model. Different runoff scenarios were established to cope with uncertainties arising from the lack of runoff records and imperfect input data. Scenarios for the relationship between water and sediment discharge were created based on sediment rating curves. Taking into account uncertainties in hydrological modelling, uncertainties of mean TE estimates, calculated from all scenarios (N = 9), are moderate, ranging from ±6 to ±11% at the 95% confidence level. By comparison, estimating TE from the storage capacity to catchment area (C/A) ratio induces high uncertainty (ranges of 35 to 65%), but this uncertainty can be confined (15 to 33%) when the latter approach is combined with hydrological modelling. Established methods relying on the storage capacity to mean annual inflow (C/I) ratio most probably lead to an overestimation of the TE for the investigated reservoirs. The approach presented here may be used instead to estimate the TE of small, intermittently dry reservoirs in semi‐arid climate regions. Copyright © 2017 John Wiley & Sons, Ltd.

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Hydraulic Model for Sedimentation in Storm-Water Detention Basins

Cited by 16 publications

References 15 publications

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Developing a mathematical framework in preliminary designing of detention rockfill dams for flood peak reduction

Estimating the sediment trap efficiency of intermittently dry reservoirs: lessons from the Kruger National Park, South Africa

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