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Statistical Evaluation of the Vulnerability of Ground‐Water Wells, A Case Study of Data from the Strasbourg Polygone Pumping Field
Author(s) -
Jameta Ph.,
Sampson P. D.,
Vincent F.
Publication year - 1997
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/j.1745-6584.1997.tb00102.x
Subject(s) - hydrology (agriculture) , chloride , environmental science , infiltration (hvac) , groundwater , water quality , pollutant , variance (accounting) , water well , soil science , meteorology , geology , chemistry , geography , geotechnical engineering , ecology , organic chemistry , biology , accounting , business
The case study presented in this paper illustrates how statistical methods can help to understand the relationships between ground‐water wells and pollutant sources in alluvial systems. The observation of a time series of chloride concentrations in a specific well in Strasbourg, France, influenced by the infiltration of chlorinated water from the Rhine river, made it possible to derive a two‐predictor model of the water quality in the well. This model combines a linear dependence upon a time‐lagged chloride concentration in the river, reflecting the steady‐state water balance in the well, and a nonlinear dependence upon average lagged water output pumped from the well. This simple model explains 86% of the variance in well chloride concentration measured weekly over a two year period.