A conceptual catchment model for estimating suspended sediment flow

Gupta, Santosh Kumar; Rastogi, R. A.

doi:10.1016/0022-1694(87)90122-3

Cited by 15 publications

(17 citation statements)

References 5 publications

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“…Catchment-scale rainfall-sediment-runoff models are broadly classified into three categories (Aksoy and Kavvas, 2005): empirical models (Renard et al, 1994;Ferro and Porto, 2000), conceptual models (Kumar and Rastogi, 1987;Lu et al, 2005;Singh et al, 2008) and physically based models (Morgan et al, 1998a(Morgan et al, , 1998bNunos et al, 2005;Jarritt and Lawrence, 2007;Xu et al, 2009). Among these models, empirical and conceptual models have been widely used for simulating rainfall-sediment-runoff processes at the catchment scale.…”

Section: Introductionmentioning

confidence: 98%

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Apip

Sayama²,

Tachikawa

et al. 2011

Hydrological Processes

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Abstract:This paper proposes a method to spatially lump a distributed rainfall-sediment-runoff model at the catchment scale. Based on a kinematic wave rainfall-sediment-runoff model, the proposed method spatially integrates (1) a rainfall-runoff model that simulates unsaturated, saturated subsurface and surface runoff processes and (2) a rainfall-sediment-runoff model that simulates soil erosion and transport processes induced by raindrops and surface flow detachment, respectively. The method deductively derives a set of lumped equations that relates the streamflow discharge and the catchment storage of water and sediment, which are then used together with continuity equations to predict the sediment runoff fluxes from the catchment outlet. The main advantage of the method is that the derived lumped model parameters are reflected by the spatially distributed topographical and soil property information, and yet the model can be implemented with a much less computational load compared to the original distributed model. Thus, the model gives a possibility of its numerous applications À such as the application to real-time flood forecasting, sediment yield-flood prediction for hydraulical structure designing, and for a climate change impact analysis on hydrological responses À coupled with the risk and uncertainty analyses which require a number of simulations. The developed lumped model successfully simulated the original distributed model outputs, as well as the observed streamflow and sediment at the Lesti River Catchment (381 km 2 ), a tributary of the Brantas River Basin in Indonesia. After validating the proposed lumped model, the most effective lumping scale was then investigated by conducting multiple simulations, the results of which suggested that approximately 200 km 2 is the ideal lumping scale for this model.

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Section: Introductionmentioning

confidence: 98%

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Apip

Sayama²,

Tachikawa

et al. 2011

Hydrological Processes

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“…, Boufadel (1998), Singh (2000), Jeng and Coon (2003), Agirre et al (2005) and Bhunya et al (2008). The Nash model has also been applied successfully in sedimentation and environmental engineering by Kumar and Rastogi (1987), Sharma et al (1992) and Sharma and Murthy (1996). More recently, Singh et al (2008) and Bhunya et al (2010) developed a conceptual sediment graph model based on the Nash model for estimation of time-distributed sediment yield (sediment graph).…”

Section: Nash Iuh Modelmentioning

confidence: 99%

A review of the synthetic unit hydrograph: from the empirical UH to advanced geomorphological methods

Singh

Mishra

Jain

2014

Hydrological Sciences Journal

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“…In Chen and Kuo (1984) model the mobilized sediment was related regressionally with effective-rainfall, and rainfall records and watershed characteristics are to be known necessarily. A similar regression approach was followed by Kumar and Rastogi (1987), Raghuwanshi et al (1994Raghuwanshi et al ( , 1996, and Sharma and Murthy (1996) to derive sediment graph and peak sediment flow rates from a watershed to reflect the respective changes due to land management practices. However, this routine procedure of regression between mobilized sediment and effective-rainfall always does not produce satisfactory results (Raghuwanshi et al, 1994(Raghuwanshi et al, , 1996.…”

Section: Sediment Transportmentioning

confidence: 99%

“…Here a watershed is represented by storage systems that include the catchment processes, without including the specific details of process interactions. Examples of few conceptual models are given by (RendonHerrero, 1978;Williams, 1978;Singh et al, 1982;Chen and Kuo, 1984;Kumar and Rastogi, 1987;and Lee and Singh, 2005). Rendon-Herrero, (1978) defined the unit sediment graph (USG) resulting due to one unit of mobilized sediment for a given duration uniformly distributed over a watershed.…”

Section: Sediment Transportmentioning

confidence: 99%