FEM–GIS based channel network model for runoff simulation in agricultural watersheds using remotely sensed data

Reddy, K. Venkata; Eldho, T. I.; Rao, E. P.; Kulkarni, A.T.

doi:10.1080/15715124.2010.547497

Cited by 9 publications

(16 citation statements)

References 23 publications

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“…In GA, the optimization has been carried out either maximizing or minimizing the objective function (fitness function) value. In this study, Single-objective GA (SGA) and Multi-objective GA (MGA) models are integrated with FEM based rainfall-runoff model of Reddy et al (2011). In SGA, the Nash-Sutcliffe Efficiency (NSE) is used as objective function.…”

Section: Genetic Algorithm Formulationmentioning

confidence: 99%

“…The infiltration model formulation was given in Reddy et al (2007). The full formulation of overland flow and channel flow was given in Reddy et al (2011). Green Ampt Mein Larson (GAML) model was used for simulation of infiltration process.…”

Section: Governing Equationsmentioning

confidence: 99%

“…The final form of the FEM equation for kinematic wave equation, which is used to simulate the overland flow, is as follows (Reddy et al 2011):…”

Section: Governing Equationsmentioning

confidence: 99%

“…Q is discharge in the channel (m 3 /s). The final matrix form of the FEM equation, which is used for the simulation of the channel flow, is as follows (Reddy et al 2011):…”

Section: Governing Equationsmentioning

confidence: 99%

“…For flood forecasting, it is required to model individual storm events at the catchment scale (Bates and Ganeshanandam 1990;Zarriello 1998;Moussa et al 2002;Jain and Indurthy 2003;Reddy et al 2008Reddy et al , 2011. The first important challenge that awaits the modeler in this task is to choose a rainfall runoff model and to calibrate a set of parameters that can accurately simulate a number of flood events and related hydrographs shapes (Moussa and Chahinian 2009).…”

Section: Introductionmentioning

confidence: 98%

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Optimization of Calibration Parameters for an Event Based Watershed Model Using Genetic Algorithm

Reshma

Reddy

Pratap

et al. 2015

Water Resour Manage

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In this study, an event based rainfall runoff model has been integrated with Single objective Genetic Algorithm (SGA) and Multi-objective Genetic Algorithm (MGA) for optimization of calibration parameters (i.e. saturated hydraulic conductivity (K s ), average capillary suction at the wetting front (S av ), initial water content (θ i ) and saturated water content (θ s )). The integrated model has been applied for Harsul watershed located in India, and Walnut Gulch experimental watershed located in Arizona, USA. Nash-Sutcliffe Efficiency (NSE) and correlation coefficient (r) between observed and simulated runoff have been used to test the performance of runoff models. The SGA and MGA integrated runoff model performance is also compared with the performance of the Hydrologic Engineering Center-Hydrologic Modeling System (HEC_HMS) model. Range of NSE values for study watersheds with integrated MGA, integrated SGA, HEC_HMS and for the event based rainfall runoff models are [−0.61 to 0.79], [−0.5 to 0.74], [−3.37 to 0.82] and [−5.78 to 0.53] respectively. Range of correlation coefficient values for study watersheds with integrated MGA, integrated SGA, HEC_HMS and for the event based rainfall runoff models are [0.18 to 0.95], [−0.55 to 0.90], [−0.18 to 0.97] and [−0.12 to 0.86] respectively. From the results, it is evident that the integrated model is giving the best calibrated parameters as compared to manual calibration methods. Genetic Algorithm (GA) integrated runoff models can be used to simulate the flow parameters of data sparse watersheds.

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Section: Genetic Algorithm Formulationmentioning

confidence: 99%

Section: Governing Equationsmentioning

confidence: 99%

“…The final form of the FEM equation for kinematic wave equation, which is used to simulate the overland flow, is as follows (Reddy et al 2011):…”

Section: Governing Equationsmentioning

confidence: 99%

“…Q is discharge in the channel (m 3 /s). The final matrix form of the FEM equation, which is used for the simulation of the channel flow, is as follows (Reddy et al 2011):…”

Section: Governing Equationsmentioning

confidence: 99%