Global Advanced Research Journal of Microbiology (GARJM) ISSN: 2315-5116
January 2019 Vol. 8(1): pp. 020-035
Copyright © 2019 Global Advanced Research Journals


Full Length Research Paper


Evaluation of the Withdrawn Water Volume from the Aquifer System of the Spatientrional Sahara

 A.   Kadria1* and Z. Lachiri2

1Researcher in the Department of Physical Engineering and Instrumentation at the National Institute of Applied Sciences and Technology, the North Urban Area BP 676-1080 Tunis, Personal address: Abu Raihan Bairuni Bukornine Street, 130. Hammam-Lif 2050 Ben Arus Tunisia

2Professor of image processing at the National School of Engineering of Tunis, Department of Electrical Engineering, Universal Campus, BP 37 Belvedere, Tunis, Tunisia.


 Accepted 15 January, 2019



The present report shows the contribution of remote sensing to estimate the volume of water withdrawn from aquifers, for a semi-arid or arid climate, such as that in our study area: the Aquifer System of Spatientrional Sahara. The vegetation area was firstly estimated from a spatial distribution of vegetation indices from the MOD13Q1 product of the MODIS sensor for a period from 2001 to 2011, by an algorithm highlighting the pixels in the red and the infrared. It's, on average, almost constant at 500 km2 for all the years. Furthermore, evapotranspiration was defined spatially and statistically by the MOD16A2 product, on the whole basin for 2011. The statistics are derived from an algorithm ensuring the logic based on the Penman-Monteith equation. These statistics regarding the area of vegetation gave the annual total volume of withdrawn water because this volume is evaporated in the absence of rainfall in the water balance and the depth of the basin does not allow it to vary in the ground's level. There was extraction more than 2,5 billion meters-cube. This means that the enormity of the consumption that is, indeed, a few hundred m3/s. It presents a serious risk of salinity and flow reversal towards the sea.  Such a calculation is developed depending on remote sensing elements such as the spatial and temporal resolutions.

Keywords:  Aquifer System, arid climate, MODIS, remote sensing.





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