- Tytuł:
- Multivariate Statistical Analysis of Groundwater Quality of Hassi Rmel, Algeria
- Autorzy:
-
Mehdi, Metaiche
Hakim, Djafer Khodja
Amina, Aichour
Nourredine, Gaci - Powiązania:
- https://bibliotekanauki.pl/articles/24201762.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polskie Towarzystwo Inżynierii Ekologicznej
- Tematy:
-
groundwater
water quality
principal component analysis
PCA
ascending hierarchical classification
HAC
diagram analysis
Hassi R'mel region - Opis:
- The quality of Groundwater is characterized by physico-chemical parameters. They determine the way in which this water is used (water supply, irrigation, industry, etc.). This present study gives the highlighting of the hydrogeological and physico-chemical characteristics of aquifer waters in question resulting from the various wells, which aims to; gather, exploit and analyze the data, in order to determine their conformity with potability standards and their suitability for irrigation. Using multivariate statistical techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (ACH) and Diagram Analysis. They are applied to a dataset composed of 17 boreholes with 12 chemical variables over the entire study area, they were sampled in 2020. These boreholes are the principal water resources suppling Hassi R'mel w. Laghouat region in terms of drinking water and irrigation. Obtained results showed that the majority of groundwater in the Hassi R’mel region is hard; where approximately 20% of boreholes are characterized by fairly soft water, and approximately 5% are characterized by very hard water.
- Źródło:
-
Journal of Ecological Engineering; 2023, 24, 5; 22--31
2299-8993 - Pojawia się w:
- Journal of Ecological Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł