Evaluation of Temporal and Sspatial Variations of Groundwater Level by using Statistical Estimator (Case study: Nourabad Plain)

Groundwater is the main water resource for domestic and agricultural uses in Iran. Analysis

So real-time mapping of groundwater depth can guide to have a proper exploitation of groundwater. Groundwater level, geohydrological studies is very important. Research on spatial and temporal scales due to changes in groundwater levels is essential. In this study was to evaluate the spatial and temporal changes in groundwater level Nour in 35 wells for statistical year (2011-2012) in two months, wet and dry node geostatistical estimation were used. Nourabad groundwater level parameters after the homogeneity test and normalization, as input different methods of kriging interpolation weighting photos are to be evaluated by 1 to 5. root mean square error and mean error standard deviation was used to compare and evaluate methods.

The results shown Photo weighting methods are to be a dry and wet few months with the lowest root mean square error and mean bias error was a priority.

Overall Distance Weighting method Photo appropriate method for statistical analysis and can be useful as a step in the exploitation of groundwater resources used.