# شبیه‌سازی عددی لایه‌بندی حرارتی در مخزن سد پانزده خرداد

نویسندگان

چکیده

با توجه به پیشرفت بشر در زمینه رایانه،‏ امروزه مدل‌های زیادی در زمینه شبیه‌سازی هیدرودینامیک و کیفیت آب پیکره‌های آبی تولید شده‌اند. مدل دو بعدی متوسط‌گیری شده در عرض (CE-QUAL-W2) به‌دلیل استفاده گسترده در سرتاسر جهان،‏ جنبه تجاری پیدا کرده است. با توجه به زیادی ضریب‌های کالیبراسیون تعریف شده برای مدل مذکور و نبود دستورالعمل مدون برای انجام آن،‏ کالیبراسیون این مدل فرآیندی وقت‌گیر است. در این مقاله سعی شده است تا با معرفی یک روش صحیح برای انجام کالیبراسیون علاوه بر کاهش زمان،‏ میزان دقت در شبیه‌سازی بالا برده شود. در این روش با تحلیل حساسیت ضریب‌های تأثیرگذار مشخص شده و دسته‌بندی آن‌ها،‏ کالیبراسیون انجام می‌شود. مخزن سد پانزده خرداد به‌عنوان نمونه انتخاب شده و از اندازه‌گیری‌هایی که در سال 1376 به‌صورت ماهانه و در اواخر هر ماه در درون دریاچه سد انجام گرفته استفاده شد. نتایج نشان داد که علاوه بر کاهش زمان کالیبراسیون،‏ مدل دارای دقت خوبی در زمینه شبیه‌سازی است،‏ به ‌طوری که میزان خطای میانگین مطلق برای تراز سطح آب و حرارت به‌ترتیب 5‎/2 سانتی‌متر و 45‎/0 درجه سانتی‌گراد به‌ دست آمد.

کلیدواژه‌ها

عنوان مقاله [English]

### Numerical simulation of thermal stratification in 15-Khordad Dam reservoir

نویسندگان [English]

• morteza eftekhari
• mitra javan
چکیده [English]

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.

کلیدواژه‌ها [English]