نوع مقاله : یادداشت فنی (5 صفحه)
نویسندگان
1 استادیار /گروه مهندسی عمران.دانشکده مهندسی شهیدنیکبخت.دانشگاه سیستان و بلوچستان
2 دانش آموخته کارشناسی ارشد/ دانشکده مهندسی شهید نیکبخت.دانشگاه سیستان و بلوچستان
3 استادیار /گروه مهندسی عمران. دانشکده مهندسی شهیدنیکبخت. دانشگاه سیستان و بلوچستان
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Identification and monitoring the water resources which has a special position is one of the principal steps in quality management of water resources. In Sistan and Baluchestan province, this principle seems to be more important, because this state located in a hot and dry area and has deficiency in usable water resources. The aim of this study is predicting the quality of without trend parameters in Chahnime No.1 of Sistan using neural network and comparing it with Markov chain method. In the present study some parameters such as DO, temperature, Phytoplankton, Zooplankton, Ammonia and Phosphorus have been considered. The mean error percentages of neural network method for these parameters were 5.543, 7.714, 12.825, 5.625, 52.396 and 4.141 respectively, while mean error percentages of Markov chain scheme were 11.169, 8.948, 5.315, 12.934, 33.88, and 8.401, respectively. Obtained results showed that neural network method provided better results in comparing with Markov chain.
کلیدواژهها [English]