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• W2323428427 abstract "Research Article| August 01 2013 Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method Majid Mirzaei; Majid Mirzaei 1Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Selangor DE, Malaysia E-mail: mirzaeii@gmail.com Search for other works by this author on: This Site PubMed Google Scholar Hadi Galavi; Hadi Galavi 2Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor DE, Malaysia Search for other works by this author on: This Site PubMed Google Scholar Mina Faghih; Mina Faghih 2Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor DE, Malaysia Search for other works by this author on: This Site PubMed Google Scholar Yuk Feng Huang; Yuk Feng Huang 3Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia Search for other works by this author on: This Site PubMed Google Scholar Teang Shui Lee; Teang Shui Lee 2Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor DE, Malaysia Search for other works by this author on: This Site PubMed Google Scholar Ahmed El-Shafie Ahmed El-Shafie 1Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Selangor DE, Malaysia Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2013) 62 (5): 309–320. https://doi.org/10.2166/aqua.2013.038 Article history Received: February 22 2013 Accepted: May 17 2013 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Majid Mirzaei, Hadi Galavi, Mina Faghih, Yuk Feng Huang, Teang Shui Lee, Ahmed El-Shafie; Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method. Journal of Water Supply: Research and Technology-Aqua 1 August 2013; 62 (5): 309–320. doi: https://doi.org/10.2166/aqua.2013.038 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex This study is designed to consider the uncertainty in the kinematic runoff and erosion model named KINEROS2. The Generalized Likelihood Uncertainty Estimation (GLUE) method was used for assessing the uncertainty associated with model predictions, which assumes that due to the limitations in model structure, data and calibration scheme, many different parameter sets can make acceptable simulations. GLUE is a Bayesian approach based on the Monte Carlo method for model calibration and uncertainty analysis. The assessment was performed in the Zayanderood River basin located in Central Iran. To make an accurate calibration, five runoff events were selected from three different gauging stations for the purpose. Statistical evaluations for streamflow prediction indicate that there is good agreement between the measured and simulated flows with Nash–Sutcliffe values of efficiency of 0.85 and 0.79 for calibration and validation periods respectively. Uncertainty analysis was carried out on the new distribution of input parameters for model validation. GLUE, KINEROS, model calibration, uncertainty analysis This content is only available as a PDF. © IWA Publishing 2013 You do not currently have access to this content." @default.
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• W2323428427 title "Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method" @default.
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