Geostatistical Study of Nitrate Contents in the Aquifers of Campo de Dalias (SE Spain)

Jiménez-Espinosa, Rosario; Molina-Sánchez, L.; Pulido−Bosch, A.; Navarrete, Fernando Casani Fernández de

doi:10.1007/978-94-017-1675-8_12

Cited by 6 publications

(1 citation statement)

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“…In addition, from a hydrogeochemical point of view, they are widely-used techniques (e.g. Istok et ah, 1993;Istok & Rautman, 1996;Pebesma & de Kwaadsteniet, 1997;Jiménez-Espinosa et al, 1997;Cerôn et al, 1999). These techniques perform an analysis of the spatial continuity and temporal variation of the hydrochemical variables.…”

Section: Methodsmentioning

confidence: 99%

Mapping groundwater quality variables using PCA and geostatistics: a case study of Bajo Andarax, southeastern Spain

Martos

Jiménez-Espinosa

Pulido−Bosch

2001

Hydrological Sciences Journal

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A case study is presented for the application of statistical and geostatistical methods to the problem of estimating groundwater quality variables. This methodology has been applied to the investigation of the detrital aquifer of the Bajo Andarax (Almeria, Spain). The use of principal components analysis is proposed, as a first step, for identifying relevant types of groundwater and the processes that bring about a change in their quality. As a result of this application, three factors were obtained, which were used as three new variables (VI: sulphate influence; V2: thermal influence; and V3: marine influence). Analysis of their spatial distribution was performed through the calculation of experimental and theoretical variograms, which served as input for geostatistical modelling using ordinary block kriging. This analysis has allowed a probabilistic representation of the data to be obtained by mapping the three variables throughout the aquifer for each sampling point. In this way, one can evaluate the spatial and temporal variation of the principal physico-chemical processes associated with the three variables VI, V2 and V3 implicated in the groundwater quality of the detrital aquifer.

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Section: Methodsmentioning

confidence: 99%