[ Evaluation de la qualité des eaux des puits par la méthode de la régression logistique: cas du Maroc ]
Volume 16, Issue 1, June 2015, Pages 239–251
Fadwa Ammari1
1 Department of Econometrics, University Mohammed V-Rabat, Rabat, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article provides a conceptual framework for measures of practical application at the Region Skhirate. The abusive use of nitrogen fertilizers and pesticides cause negative impacts on the quality of the wells, agricultural intensification can lead also to the degradation of groundwater quality resulting in problems such as salinization, codification, compaction and nitrate pollution, this study tends to affirm the results already achieved by the experts on the quality of water wells, to assess the degree of degradation of these resources.
The analysis by the method of logistic regression is a statistical technique to establish a relationship between a dependent variable and explanatory variables, to examine the associations and make predictions. One can, for example, be interested in quantifying the relationship between the quality of well water in the area Skhirate and risk factors that we will discuss later.
In terms of future projections in terms of rainfall and water availability, this initiative could she manage to keep the vision of Morocco as a country that wants to farm? Can we consider irrigation as to sufficiently seen the amount of land suitable for cultivation, or rather is already a problem in the ability to see the irrigation water quality to use?
Author Keywords: quality of water, irrigation, logistic regression, electrical conductivity (EC), absorption coefficient of the sodium (SAR).
Volume 16, Issue 1, June 2015, Pages 239–251
Fadwa Ammari1
1 Department of Econometrics, University Mohammed V-Rabat, Rabat, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This article provides a conceptual framework for measures of practical application at the Region Skhirate. The abusive use of nitrogen fertilizers and pesticides cause negative impacts on the quality of the wells, agricultural intensification can lead also to the degradation of groundwater quality resulting in problems such as salinization, codification, compaction and nitrate pollution, this study tends to affirm the results already achieved by the experts on the quality of water wells, to assess the degree of degradation of these resources.
The analysis by the method of logistic regression is a statistical technique to establish a relationship between a dependent variable and explanatory variables, to examine the associations and make predictions. One can, for example, be interested in quantifying the relationship between the quality of well water in the area Skhirate and risk factors that we will discuss later.
In terms of future projections in terms of rainfall and water availability, this initiative could she manage to keep the vision of Morocco as a country that wants to farm? Can we consider irrigation as to sufficiently seen the amount of land suitable for cultivation, or rather is already a problem in the ability to see the irrigation water quality to use?
Author Keywords: quality of water, irrigation, logistic regression, electrical conductivity (EC), absorption coefficient of the sodium (SAR).
How to Cite this Article
Fadwa Ammari, “Quality of water wells in the region Skhirat: Evaluation by the method of logistic regression - case of Morocco,” International Journal of Innovation and Scientific Research, vol. 16, no. 1, pp. 239–251, June 2015.
