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

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Abstract

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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Acknowledgments

Our sincere thanks to Mr. Guy Honore, Project coordinator, Indo German Bilateral Project-Watershed Management, for providing the hydrological data of the Harsul watershed. Our sincere thanks to Mr. Jeffry J. Stone, Hydrologist, USDA-ARS Southwest Watershed Research Center, for giving valuable suggestions in downloading the hydro-meteorological database of the Walnut Gulch watershed from the online data access website of the USDA-ARS Southwest Watershed Research Center. We also thank Prof. Kalyanmoy Deb, IIT Kanpur for providing the GA codes through web link: http://www.iitk.ac.in /kangal/index.shtml. The authors also thank the associate editor of this journal and three anonymous reviewers for their valuable comments which improved the manuscript significantly.

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Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology, Warangal, AP, 506004, India

    T. Reshma, K. Venkata Reddy, Deva Pratap & V. Agilan

  2. Spatial Sciences Laboratory, Department of Ecosystem Sciences and Management, Texas A&M University, College Station, TX, 77843, USA

    Mehdi Ahmedi

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  1. T. Reshma
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  2. K. Venkata Reddy
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  4. Mehdi Ahmedi
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Correspondence to T. Reshma.

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Reshma, T., Reddy, K.V., Pratap, D. et al. Optimization of Calibration Parameters for an Event Based Watershed Model Using Genetic Algorithm. Water Resour Manage 29, 4589–4606 (2015). https://doi.org/10.1007/s11269-015-1077-9

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  • DOI: https://doi.org/10.1007/s11269-015-1077-9

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