Select the Best Deterministic and Geostatistical Interpolation Model to Investigate the Spatial Variability of Fluoride in Yazd Aquifer Using GIS

To use of beneficial effects (prevention of dental caries) and prevent all adverse effects such as dental and skeletal fluorosis, pregnancy outcomes, and blood pressure, the World Health Organization states concentration of fluoride in drinking water as a guideline 1.8-2 mg/L. The aim of this study was to determine the best deterministic and geostatistical interpolation model to investigate the spatial variability of fluoride in Yazd aquifer using a Geographic Information System.

In this cross sectional study, samples were collected from 24 wells, fluoride concentration was determined. To interpolate fluoride, deterministic and geostatistical methods was used in GIS software. Based on cross-validation criteria, best model interpolation was determined and zoning map prepared.

The mean fluoride concentration in the samples was equal to 0.2 ± 0.6 mg/L. The minimum and maximum fluoride concentrations respectively were 0.3 and 1.5 mg/L. by considering cross-validation criteria local polynomial Interpolation method (LPI) was selected as best model for fluoride mapping.

According to the results, In order to prevent the occurrence of side effects caused by a deficiency or excess fluoride on consumers’ health, it is necessary to conduct needful measures by responsible agencies.