1Department of Statistics and Public Health, Faculty of Health, Kashan University of Medical Sciences, Kashan, IR Iran
Department of Environmental Health Engineering, School of Health, Kashan University of Medical Sciences, Kashan, Islamic Republic of Iran
*Corresponding author's E-mail: d-rabbani@kaums.ac.ir
Online published on 6 April, 2018.
There was a meaningful relation between liter per consumption day (Lpcd) and temperature during modeling of water consumption. The linear regression showed that the relation between Lpcd and the min and max temperature was strong and positive (r>0.8, P<0.001), while the relation between Lpcd and precipitation was weak and negative (r =-0.153 and P<0.001). The multivariate regression model for Lpcd prediction was derived from weather conditions (R2Adjusted = 0.793).
Desert area, global warming, Kashan, Lpcd, weather condition