Estimation of Nitrate Concentration Using Fuzzy Regression Method and Support Vector Machines
نویسندگان
چکیده
Groundwater pollution by nitrate is a worldwide problem. To evaluate the performance of fuzzy regression method and support vector machines (SVM) for estimating the nitrate concentration, an analysis was conducted. In this research, 175 observation wells in Isfahan province, Iran, were selected and the concentration of nitrate, potassium, magnesium, sodium, chlorine, bicarbonate, sulphate, calcium and hardness of water samples was determined in laboratory. Electrical conductivity and pH were also measured and the sodium absorption ratio was calculated from the measurements. The average concentration of water quality parameters, including bicarbonate, calcium, magnesium, hardness and electrical conductivity was introduced as input data and nitrate concentration as output. The results showed that R of fuzzy and SVM models were 2 0.94 and 0.936, whereas the root mean squared error values were 1.5 and 1.3, respectively. Both fuzzy and SVM approaches work well for the data set used from this region, but the SVM technique works better than the fuzzy model for estimation of nitrate concentration in the groundwater.
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