University of Tabriz Hydrogeology 2588-3011 3 1 2018 08 23 Prediction of groundwater quality in Khanmirza plain using decision tree method Prediction of groundwater quality in Khanmirza plain using decision tree method 99 110 5568 10.22034/hydro.2018.5568 FA Zahra Hasani MSc student of Water Resources Engineering. Shahrekord University. Rasoul Mirabbasi Assistant Professor, Department of Water Engineering, Shahrekord University Ahmad Reza Ghasemi Assistant Professor, Department of Water Engineering, Shahrekord University Journal Article 2016 09 25       Groundwater is an important resource for agricultural, industrial and drinking uses in arid and semi-arid regions. Therefore, study and management of these valuable resources is necessary. Since the monitoring and investigation of groundwater quality is a time consuming and costly process, so finding a method which enables us to forecast groundwater quality with the least number of parameters lead to save money and time. The aim of this study is prediction of groundwater quality class, based on the USSL diagram in the Khanmirza plain by decision tree method. The chemical parameters and monthly and cumulative precipitation were used as model inputs. For this purpose, the water quality data of 19 wells which located in the Khanmirza plain, were used for the period 1991-2011. The results showed that decision tree method is able to classify water quality with high accuracy, based on only 4 chemical parameters (i.e. EC, Na, SAR and Cation). In the other words, in order to classify the groundwater quality of Khanmirza plain in the future, measuring these four parameters is enough, which significantly reduces the cost and time of analysis.       Groundwater is an important resource for agricultural, industrial and drinking uses in arid and semi-arid regions. Therefore, study and management of these valuable resources is necessary. Since the monitoring and investigation of groundwater quality is a time consuming and costly process, so finding a method which enables us to forecast groundwater quality with the least number of parameters lead to save money and time. The aim of this study is prediction of groundwater quality class, based on the USSL diagram in the Khanmirza plain by decision tree method. The chemical parameters and monthly and cumulative precipitation were used as model inputs. For this purpose, the water quality data of 19 wells which located in the Khanmirza plain, were used for the period 1991-2011. The results showed that decision tree method is able to classify water quality with high accuracy, based on only 4 chemical parameters (i.e. EC, Na, SAR and Cation). In the other words, in order to classify the groundwater quality of Khanmirza plain in the future, measuring these four parameters is enough, which significantly reduces the cost and time of analysis. https://hydro.tabrizu.ac.ir/article_5568_e79fd43c49530db25844a27b90039b40.pdf