Zoning Electrical Conductivity and Acidity of Groundwater through Using Geo-statistical Method: A Case Study in Semirom Plain, Esfahan Province

Journal of Water Science & Engineering

مقاله 2، دوره 2، شماره 6، اسفند 2012، صفحه 17-28   

نوع مقاله: Original Article

نویسندگان

S Taei Semiromi¹؛ H Moradi^{* 2}؛ M Khodagholi³؛ V Karimian⁴

¹Department of Watershed Management Engineering, Faculty of Natural Resources, TarbiatModares University ,Tehran,Iran.

²Associate Professor, Department of Watershed Management Engineering, TarbiatModares University Tehran,Iran.

³Assistant Professor oFIsfahan Center for Research of Agricultural Science and Natural Resources,Tehran,Iran.

⁴Msc,Department of Renge Management, Faculty of Natural Resources, Gorgan University Tehran,Iran.

چکیده

The groundwater quality research is one of the important and its pollution control was included in
some research literatures. Ground water quality has spatial and temporal variation so classical statistics
could not account these variations at the regional scale researches. This study usedgeo-statistical
methodsto optimize an interpolation method in order to estimate the spatial distribution of pH and
electrical conductivity in ground water. The geo-statistical methods which used in this procedure,
includedkriging, ordinary kriging, simple kriging, disjunctive kriging, inverse distance weighting and
radial. Cross validation was used to evaluate fault detection, root mean square error for statistical
comparisons,and the geo-statistical analysis was performed in ArcGIS9x software environment. The
case study was Semirom plain, Esfahan and historical data was collected from 386 springs in years
from 2006 to 2007.The resultsof model validations showed that the variogram spherical model has the
best fit to the spatial data structure of the electrical conductivity and pH. The analysis of RMSE and
MAE showed that inverse distance method (with raised to the power of one); RMSE = 0.065; MAE=
0.041) and radial function (with RMSE = 3.57; MAE=2.27) were more statistically accurate or have
lower RMSE and MAE in comparison to the other methods. Both of these methods have optimum
spatial distribution of the pH and electrical conductivity of ground water inSemirom plain. Finally,
spatial distributions maps of pH and electrical conductivity was created using ArcGIS9.x (or
geographical information systems). The resultsof maps showed reduction of both variables from the
east to west, in Semirom plain.

کلیدواژه‌ها

Geo-statistic؛ Ground water؛ Electrical Conductivity؛ pH؛ Semiromplian

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