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A geostatistical approach for groundwater head monitoring network optimisation: case of the S fax superficial aquifer ( T unisia)
Author(s) -
Triki Ibtissem,
Zairi Moncef,
Ben Dhia Hamed
Publication year - 2013
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/j.1747-6593.2012.00352.x
Subject(s) - kriging , groundwater , aquifer , water table , interpolation (computer graphics) , geostatistics , variance (accounting) , hydrology (agriculture) , hydraulic head , head (geology) , aquifer properties , water well , environmental science , soil science , geology , spatial variability , geotechnical engineering , computer science , statistics , mathematics , groundwater recharge , geomorphology , accounting , animation , computer graphics (images) , business
In many developing countries, the groundwater monitoring network is randomly designed, and consequently needs to be revised and optimised to reduce operation time and cost, remove redundant piezometric data, and strengthen sparseness data zone with supplementary observation well. The geostatistical approach used in this work is based on the universal kriging variance combined with cross‐validation test. Hence, a rational interpolation of water table elevations was performed to evaluate the accuracy of data employed in the piezometric head modelling. In this study, the groundwater monitoring network of the S fax superficial aquifer in the south east of T unisia was optimised. The elimination of five observation wells induces the invariability in the variance of estimate due to their less contribution in interpretations of the groundwater level behaviour. However, 38 wells were added at areas of high variance of the kriging in order to ameliorate the spatial coverage of the monitoring network.