Parameter estimation of two innovative Muskingum models

Niazkar, Majid and Afzali, Seied Hosein Parameter estimation of two innovative Muskingum models. In: First International Conference On Water Environment and Sustainable Development, September 2016, Ardabil, Iran. (Submitted)

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Abstract

Nonlinear Muskingum models improve the accuracy of the lumped hydrologic flood routing methods. In this study, two new improved versions of nonlinear Muskingum model with seven and nine parameters are proposed. The parameters of these models are calibrated using Modified Honey Bee Mating Optimization algorithm. The performances of the new models were compared with fourteen models available in the literature for the most widely used case study in this field. The obtained results show that the new models achieve the best results among the ones considered in the comparison and reduced the best SSQ value of three-parameter Muskingum model by 85%.

Item Type: Conference or Workshop Item (Poster)
Persian Title: -
Persian Abstract: -
Subjects: Divisions > Conferences > First International Conference On Water Environment and Sustainable Development, 27-29 September 2016 , Ardabil - Iran
Conferences > First International Conference On Water Environment and Sustainable Development, 27-29 September 2016 , Ardabil - Iran
Divisions: Conferences > First International Conference On Water Environment and Sustainable Development, 27-29 September 2016 , Ardabil - Iran
Subjects > Conferences > First International Conference On Water Environment and Sustainable Development, 27-29 September 2016 , Ardabil - Iran
Date Deposited: 08 Apr 2019 06:06
Last Modified: 08 Apr 2019 06:06
URI: http://repository.uma.ac.ir/id/eprint/5487

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