STATISTICAL CHARACTERIZATION OF GROUNDWATER QUALITY IN THE BISKRA REGION, NORTHEASTERN ALGERIA

The main objective of this work is to characterize the groundwater quality in the Biskra region using Principal Component Analysis (PCA) on 59 samples from the most heavily exploited boreholes in the study area, more specifically those used for human consumption. The PCA results showed two axes that explain 70.8% of the information, with axis F1 summarizing 60.86% of the information and describing the parameters related to mineralization (EC, HCO3, TH, Ca+2, Mg+2, Cl-, SO4, K, Na), while axis F2 presents 9.9% of the initial information and describes a weak correlation of nitrates concerning all other parameters, which confirms its origin given the proximity of agricultural land and industrial zones for certain boreholes. To this end, continuous monitoring of water quality is mandatory, as is the implementation of treatment to reduce water quality degradation and eliminate health problems.

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Publication Details

Journal
International Journal of Innovative Technologies in Social Science
Published
2024-09-19
DOI
https://doi.org/10.31435/rsglobal_ijitss/30092024/8224
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
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article

STATISTICAL CHARACTERIZATION OF GROUNDWATER QUALITY IN THE BISKRA REGION, NORTHEASTERN ALGERIA

Baazi Houria, Nemili Zohra, Necer AbdeLdjabar, Saoudi Messaoud
International Journal of Innovative Technologies in Social Science
Groundwater and Isotope Geochemistry
article

STATISTICAL CHARACTERIZATION OF GROUNDWATER QUALITY IN THE BISKRA REGION, NORTHEASTERN ALGERIA

Baazi Houria, Nemili Zohra, Necer AbdeLdjabar, Saoudi Messaoud
article en

Abstract

The main objective of this work is to characterize the groundwater quality in the Biskra region using Principal Component Analysis (PCA) on 59 samples from the most heavily exploited boreholes in the study area, more specifically those used for human consumption. The PCA results showed two axes that explain 70.8% of the information, with axis F1 summarizing 60.86% of the information and describing the parameters related to mineralization (EC, HCO3, TH, Ca+2, Mg+2, Cl-, SO4, K, Na), while axis F2 presents 9.9% of the initial information and describes a weak correlation of nitrates concerning all other parameters, which confirms its origin given the proximity of agricultural land and industrial zones for certain boreholes. To this end, continuous monitoring of water quality is mandatory, as is the implementation of treatment to reduce water quality degradation and eliminate health problems.

International Journal of Innovative Technologies in Social Science(3(43))
University of Batna 1 (DZ)
Openalex Percentile: Top 85%
Groundwater and Isotope Geochemistry
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