نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار گروه مهندسی آب دانشکده کشاورزی، دانشگاه تبریز
2 کارشناسی ارشد مهندسی عمران، دانشگاه آزاد مراغه
3 منابع آب، گروه مهندسی آب دانشکده کشاورزی، دانشگاه شهرکرد،
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Consideration of water quality and implementation of appropriate actions for preventing of water resources pollution is a very important issue in Iran because of surface water deficit. Sustainable development of agriculture is impossible without considering of surface water quality. Water quality control is a noteworthy issue in irrigation scheduling program of agricultural land. Since surface water quality monitoring and assessment is very expensive and time consuming. Thus, finding a cheap, simple and relatively exact method which can predict the water quality class base on minimum hydro chemical parameters would be very useful. Decision tree as one of the data mining techniques classify data sets based on a tree structure and uses for prediction base on extracting the exiting patterns and roles among data sets. In this study, the decision tree method was used to classify water quality in some hydrometrics stations located at southern side of Sahand Mountain, including Chekan, Girmizigol, Shishovan, Tazekand and Moghanjig. The water quality classes were defined based on if-then rules. The results showed that the decision tree method is able to predict the water quality classes based on small number of hydro chemical parameters with high accuracy
کلیدواژهها [English]