Application of artificial neural networks for modeling of The Lighvan river by using Water Quality Index
عنوان مقاله: Application of artificial neural networks for modeling of The Lighvan river by using Water Quality Index
شناسه ملی مقاله: CEE01_222
منتشر شده در اولین همایش تخصصی مهندسی محیط زیست در سال 1385
شناسه ملی مقاله: CEE01_222
منتشر شده در اولین همایش تخصصی مهندسی محیط زیست در سال 1385
مشخصات نویسندگان مقاله:
Salari - Department of Applied Chemistry, University of Tabriz, Iran
Niaei
Aghazadeh
Nabavi
خلاصه مقاله:
Salari - Department of Applied Chemistry, University of Tabriz, Iran
Niaei
Aghazadeh
Nabavi
Many factors can affect water quality. The WQI is one of the most widely used of all existing water quality procedures. The information in calculating the WQI of lighvan river allowed us to take our tests results and make a scientific conclusion about the quality of the water. The WQI of lighvan river consists of five tests: Fecal Coliform(F.C.), Biochemical Oxygen Demand(BOD5), Nitrates(NO3), Total Phosphate(PO4) and pH. After completing the five tests, the results are recorded and transferred to a weighting curve chart where a numerical value is obtained. For each test, the numerical value or Q-value is multiplied by a weighting factor. The proposed model based on artificial neural network (ANN) could predict the WQI of river lighvan. A comparison between the predicted results of the designed ANN model and experimental data was also conducted.
کلمات کلیدی: Water quality; WQI; ANN; Simulation
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/11986/