Numerical simulation of thermal stratification in 15-Khordad Dam reservoir

Nowadays, due to human progress in computer science, many models have been produced to simulate hydrodynamic and water quality of the water bodies. Among these models, CE-QUAL-W2, a two-dimensional width-averaged model, has been extensively used as a commercial model all around the world. Since this model included a large number of calibration coefficients and there is no standard guideline for calibration, the model calibration is a time-consuming process. In this paper, an appropriate method has been introduced for model calibration. This method reduces the run time and increases the simulation accuracy. In the proposed method, first, the effective coefficients were identified by sensitivity analysis. Then, the calibration performs after classification of the coefficients. For this purpose, the data of 15-Khordad dam reservoir measured at the end of each month of 1997 were used. The results showed that this method was suitable for making accurate predictions of temperature distribution and reducing run time. As the Absolute Mean Error (AME) for water surface elevation and temperature were obtained 2.5 cm and 0.45 °C, respectively. Nowadays, due to human progress in computer science, many models have been produced to simulate hydrodynamic and water quality of the water bodies. Among these models, CE-QUAL-W2, a two-dimensional width-averaged model, has been extensively used as a commercial model all around the world. Since this model included a large number of calibration coefficients and there is no standard guideline for calibration, the model calibration is a time-consuming process. In this paper, an appropriate method has been introduced for model calibration. This method reduces the run time and increases the simulation accuracy. In the proposed method, first, the effective coefficients were identified by sensitivity analysis. Then, the calibration performs after classification of the coefficients. For this purpose, the data of 15-Khordad dam reservoir measured at the end of each month of 1997 were used. The results showed that this method was suitable for making accurate predictions of temperature distribution and reducing run time. As the Absolute Mean Error (AME) for water surface elevation and temperature were obtained 2.5 cm and 0.45 °C, respectively. Nowadays, due to human progress in computer science, many models have been produced to simulate hydrodynamic and water quality of the water bodies. Among these models, CE-QUAL-W2, a two-dimensional width-averaged model, has been extensively used as a commercial model all around the world. Since this model included a large number of calibration coefficients and there is no standard guideline for calibration, the model calibration is a time-consuming process. In this paper, an appropriate method has been introduced for model calibration. This method reduces the run time and increases the simulation accuracy. In the proposed method, first, the effective coefficients were identified by sensitivity analysis. Then, the calibration performs after classification of the coefficients. For this purpose, the data of 15-Khordad dam reservoir measured at the end of each month of 1997 were used. The results showed that this method was suitable for making accurate predictions of temperature distribution and reducing run time. As the Absolute Mean Error (AME) for water surface elevation and temperature were obtained 2.5 cm and 0.45 °C, respectively. Nowadays, due to human progress in computer science, many models have been produced to simulate hydrodynamic and water quality of the water bodies. Among these models, CE-QUAL-W2, a two-dimensional width-averaged model, has been extensively used as a commercial model all around the world. Since this model included a large number of calibration coefficients and there is no standard guideline for calibration, the model calibration is a time-consuming process. In this paper, an appropriate method has been introduced for model calibration. This method reduces the run time and increases the simulation accuracy. In the proposed method, first, the effective coefficients were identified by sensitivity analysis. Then, the calibration performs after classification of the coefficients. For this purpose, the data of 15-Khordad dam reservoir measured at the end of each month of 1997 were used. The results showed that this method was suitable for making accurate predictions of temperature distribution and reducing run time. As the Absolute Mean Error (AME) for water surface elevation and temperature were obtained 2.5 cm and 0.45 °C, respectively. Nowadays, due to human progress in computer science, many models have been produced to simulate hydrodynamic and water quality of the water bodies. Among these models, CE-QUAL-W2, a two-dimensional width-averaged model, has been extensively used as a commercial model all around the world. Since this model included a large number of calibration coefficients and there is no standard guideline for calibration, the model calibration is a time-consuming process. In this paper, an appropriate method has been introduced for model calibration. This method reduces the run time and increases the simulation accuracy. In the proposed method, first, the effective coefficients were identified by sensitivity analysis. Then, the calibration performs after classification of the coefficients. For this purpose, the data of 15-Khordad dam reservoir measured at the end of each month of 1997 were used. The results showed that this method was suitable for making accurate predictions of temperature distribution and reducing run time. As the Absolute Mean Error (AME) for water surface elevation and temperature were obtained 2.5 cm and 0.45 °C, respectively.