Spatial and temporal study of nitrate concentration in groundwater by means of coregionalization

Spatial and temporal behavior of hydrochemical parameters in groundwater ca n be studied using tools provided by geostatistics. The cross-variogram can be used to measure the spatial increments between observations at two give n times as a function of distance (spatial structure). Taking into account the existence of such a spatial structure, two different data sets (sampled at two different times), representing concentrations of the same hydrochem ical parameter, can be analyzed by cokriging in order to reduce the uncerta inty of the estimation. In particular, if one of the two data sets is a sub set of the other (that is, an undersampled set), cokriging allows us to stu dy the spatial distribution of the hydrochemical parameter at that time, wh ile also considering the statistical characteristics of the full data set e stablished at a different time. This paper presents an application of cokri ging by using temporal subsets to study the spatial distribution of nitrate concentration in the aquifer of the Lucca Plain, central Italy. Three data sets of nitrate concentration in groundwater were collected during three d ifferent periods in 1991. The first set was from 47 wells, but the second a nd the third are undersampled and represent 28 and 27 wells, respectively. Comparing the result of cokriging with ordinary kriging showed an improveme nt of the uncertainty in terms of reducing the estimation variance. The app lication of cokriging to the undersampled data sets reduced the uncertainty in estimating nitrate concentration and at the same time decreased the cos t of the field sampling and laboratory analysis.