Using SUFI-2 Algorithm in Automatic Thermal Calibration and Uncertainty Analysis of Two-Dimensional CE-QUAL-W2 Model
Abstract:
The purpose of this study is automatic calibration of water quality model to simulate water temperature. In this study, CE-QUAL-W2 was applied to simulate water temperature in the Alavian dam reservoir located in East-Azarbayjan province. Uncertainty analysis in some models such as CE-QUAL-W2 is difficult and very rare, because of their complexity and high computational cost among other models. Sequential Uncertainty Fitting (SUFI-2) was used to calibrate and analyze the uncertainty of CE-QUAL-W2 model. The performance of SUFI-2 was evaluated using the Absolute Mean Error (AME) as an objective function. Uncertainty statistics used were the and . Model calibration was accomplished during November 2007 to September 2008 and later validated during the period from August 2008 to September 2009. After simulating the water level, the temperature was simulated with an Absolute Mean Error 1.27 and 1.76 ºC during the calibration and validation periods, respectively. The
have been calculated as 0.53 and 0.4 during the calibration and validation periods, respectively. The results showed vertical temperature profiles of the calibrated model agree closely with the measured data.
Article Type:
Research/Original Article
Language:
Persian
Published:
Iranian Journal of Irrigation & Drainage, Volume:12 Issue:1, 2018
Pages:
111 - 118
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