Distributed numerical model for estimating runoff and sediment discharge of ungaged rivers 1. The information system

Gupta, Santosh K.; Solomon, S. I.

doi:10.1029/wr013i003p00613

Cited by 15 publications

(6 citation statements)

References 3 publications

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“…It should be realized that erosion potential prediction is a practical and widely applied GIS operation. Gupta and Solomon (1977) do not use the USLE, but they employ a combination of empirical and physics based modeling in their river sediment discharge model. The grid cell system is shown to be superior to simpler techniques when ungaged watersheds are considered.…”

Section: Erosion Prediction/controlmentioning

confidence: 99%

Review of GIS Applications in Hydrologic Modeling

DeVantier

Feldman

1993

J. Water Resour. Plann. Manage.

142

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Section: Erosion Prediction/controlmentioning

confidence: 99%

Review of GIS Applications in Hydrologic Modeling

DeVantier

Feldman

1993

J. Water Resour. Plann. Manage.

142

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“…A grid square approach is employed for subdividing the catchment in the model described by Gupta and Solomon (1977), the CSU model (Alonso et al 1978) the ANSWERS model of Beasley et al ( 1980) and the SHES ED model of Wicks and Bathurst (1996). A few models have attempted to subdivide the catchment on the basis of its topographic form rather than by using an arbitrary grid.…”

Section: Process Based Distributed Models For Soil Erosion and Sedimementioning

confidence: 99%

Soil Erosion and Sediment Yield Modelling

Fish

2008

ISH Journal of Hydraulic Engineering

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The state of the art on the topic of soil erosion and sediment yield modelling has been presented. The physical processes related to these phenomena are explained first. The factors controlling the occurrence of these phenomena are listed and explained subsequently. The state of the mathematical modeling on this topic is detailed out at the end of the paper. The exhaustive literature presented herein on the topic of ~oil erosion and sediment yield shall be of immense use to the water resources planners and engineers.

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“…To represent a watershed, uniform/non‐uniform grid‐based approaches have been used extensively (Onstad and Bowie, 1977; Beasley et al , 1980; Hadley et al , 1985; Gupta and Solomon, 1977; Vieira and Wu, 2002; Renschler, 2003; Jain et al , 2004; Reddy et al , 2008). In the present work, the discretisation using TOpographic PArameteriZation (TOPAZ) (Garbrecht and Martz, 1999) has been adopted, which is an automated digital landscape analysis tool for drainage identification, watershed segmentation and subcatchment parameterisation.…”

Section: Discretisation Of Watershedmentioning

confidence: 99%

Geospatially based distributed rainfall‐runoff modelling for simulation of internal and outlet responses in a semi‐forested lower Himalayan watershed

Ramsankaran¹,

Kothyari²,

Ghosh³

et al. 2011

Hydrological Processes

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Abstract:This study presents a Geographic Information System (GIS)-based distributed rainfall-runoff model for simulating surface flows in small to large watersheds during isolated storm events. The model takes into account the amount of interception storage to be filled using a modified Merriam (1960) approach before estimating infiltration by the Smith and Parlange (1978) method. The mechanics of overland and channel flow are modelled by the kinematic wave approximation of the Saint Venant equations which are then numerically solved by the weighted four-point implicit finite difference method. In this modelling the watershed was discretized into overland planes and channels using the algorithms proposed by Garbrecht and Martz (1999). The model code was first validated by comparing the model output with an analytical solution for a hypothetical plane. Then the model was tested in a medium-sized semi-forested watershed of Pathri Rao located in the Shivalik ranges of the Garhwal Himalayas, India. Initially, a local sensitivity analysis was performed to identify the parameters to which the model outputs like runoff volume, peak flow and time to peak flow are sensitive. Before going for model validation, calibration was performed using the Ordered-Physics-based Parameter Adjustment (OPPA) method. The proposed Physically Based Distributed (PBD) model was then evaluated both at the watershed outlet as well as at the internal gauging station, making this study a first of its kind in Indian watersheds. The results of performance evaluation indicate that the model has simulated the runoff hydrographs reasonably well within the watershed as well as at the watershed outlet with the same set of calibrated parameters. The model also simulates, realistically, the temporal variation of the spatial distribution of runoff over the watershed and the same has been illustrated graphically.

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Distributed numerical model for estimating runoff and sediment discharge of ungaged rivers 1. The information system

Cited by 15 publications

References 3 publications

Review of GIS Applications in Hydrologic Modeling

Review of GIS Applications in Hydrologic Modeling

Soil Erosion and Sediment Yield Modelling

Geospatially based distributed rainfall‐runoff modelling for simulation of internal and outlet responses in a semi‐forested lower Himalayan watershed

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