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Information Journal Paper

Title

Reducing Rainfall-Runoff Simulation Error Using Coupled Hydrological SWAT Model and Data Assimilation Technique

Pages

  84-96

Abstract

 Conceptual modeling of Rainfall-Runoff procedure involves large number of parameters and climate data. Uncertainty in these input parameters are very likely which leads to output errors which can affect long-term predictions and management policies. In this study Soil and Water Assessment Tool (SWAT) is implemented to simulate Rainfall-Runoff process in Chelgerd sub-basin. To develop an appropriate model with acceptable and reliable performance, Ensemble Kalman Filter (EnKF) is used as data assimilation technique to assimilate the variables of model which are known as sources of error; i. e. model parameters and input data. The research concluded that as a data assimilation technique, EnKF is capable of reducing the computational error inherited in the simulation model. Results of the proposed model is evaluated by Nash-Sutcliff (NS) factor with value of 0. 86 which have better performance compared to modeling without EnKF technique. Also the performance of the developed model is improved with a NS value of 0. 82 for the validation period.

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    APA: Copy

    MEHRPARVAR, M., ASGHARI, K., & GOLMOHAMMADI, M.H.. (2019). Reducing Rainfall-Runoff Simulation Error Using Coupled Hydrological SWAT Model and Data Assimilation Technique. IRAN-WATER RESOURCES RESEARCH, 14(5 ), 84-96. SID. https://sid.ir/paper/100205/en

    Vancouver: Copy

    MEHRPARVAR M., ASGHARI K., GOLMOHAMMADI M.H.. Reducing Rainfall-Runoff Simulation Error Using Coupled Hydrological SWAT Model and Data Assimilation Technique. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;14(5 ):84-96. Available from: https://sid.ir/paper/100205/en

    IEEE: Copy

    M. MEHRPARVAR, K. ASGHARI, and M.H. GOLMOHAMMADI, “Reducing Rainfall-Runoff Simulation Error Using Coupled Hydrological SWAT Model and Data Assimilation Technique,” IRAN-WATER RESOURCES RESEARCH, vol. 14, no. 5 , pp. 84–96, 2019, [Online]. Available: https://sid.ir/paper/100205/en

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