Groundwater levels time series sensitivity to pluviometry and air temperature: a geostatistical approach to Sfax region, Tunisia

• Published in: Environmental monitoring and assessment Vol. 186; no. 3; pp. 1593 - 1608
• Main Authors: Triki, Ibtissem, Trabelsi, Nadia, Hentati, Imen, Zairi, Moncef
• Format: Journal Article
• Language: English
• Published: Cham Springer-Verlag 01.03.2014; Springer International Publishing; Springer Nature B.V
• Subjects: Air temperature; Aquifers; Artificial recharge; Atmosphere - chemistry; Atmospheric Protection/Air Quality Control/Air Pollution; Chemical contaminants; Cluster analysis; Coastal aquifers; Correlation analysis; data collection; Earth and Environmental Science; Ecology; Ecotoxicology; Environment; Environmental Management; Environmental monitoring; Environmental Monitoring - methods; Fluctuation; Geostatistics; Groundwater; Groundwater - analysis; Groundwater - chemistry; Groundwater discharge; Groundwater levels; Groundwater pollution; Groundwater recharge; Hypothesis testing; Missing data; Monitoring/Environmental Analysis; principal component analysis; Principal components analysis; rain; Rainfall; Statistical methods; Studies; Temperature; Time series; time series analysis; Tunisia; Water Supply - analysis; Water Supply - statistics & numerical data; water table; Wells; Tunisia; MED, Tunisia; MED, Tunisia, Sfax; Groundwater monitoring; Geostatistic; Cross-correlation; Principal component analysis
• ISSN: 0167-6369; 1573-2959
• DOI: 10.1007/s10661-013-3477-8

In this paper, the pattern of groundwater level fluctuations is investigated by statistical techniques for 24 monitoring wells located in an unconfined coastal aquifer in Sfax (Tunisia) for a time period from 1997 to 2006. Firstly, a geostatistical study is performed to characterize the temporal behaviors of data sets in terms of variograms and to make predictions about the value of the groundwater level at unsampled times. Secondly, multivariate statistical methods, i.e., principal component analysis (PCA) and cluster analysis (CA) of time series of groundwater levels are used to classify groundwater hydrographs regard to identical fluctuation pattern. Three groundwater groups (A, B, and C) were identified. In group “A,” water level decreases continuously throughout the study periods with rapid annual cyclic variation, whereas in group “B,” the water level contains much less high-frequency variation. The wells of group “C” represents a steady and gradual increase of groundwater levels caused by the aquifer artificial recharge. Furthermore, a cross-correlation analysis is used to investigate the aquifer response to local rainfall and temperature records. The result revealed that the temperature is more affecting the variation of the groundwater level of group A wells than the rainfall. However, the second and the third groups are less affected by rainfall or temperature.