| Titre : |
Impact des activités agricoles et industrilles sur la qualité des eaux souterraines de la plaine de Khemis Miliana |
| Type de document : |
texte imprimé |
| Auteurs : |
Dalila Chibani, Auteur ; Massissilia Terzout Yettou, Auteur ; Elaid Madene, Auteur |
| Editeur : |
Tipaza [Algérie] : Centre universitaire Morsli Abdellah - Tipaza- |
| Année de publication : |
2024/2025 |
| Importance : |
p.89 |
| Présentation : |
couv. en noir et blanc ., ill., fig.,tabl. |
| Format : |
30 cm |
| Accompagnement : |
CD |
| Note générale : |
Bibliographie: p79-82.
Annexes: p83-89. |
| Langues : |
Français (fre) |
| Catégories : |
Agronomie
|
| Mots-clés : |
Groundwater Pollution Nitrates Agricultural Activities Khemis Miliana Plain. |
| Index. décimale : |
630.18 |
| Résumé : |
The study area corresponds to the Khemis Miliana plain, located in the Aïn Defla province in northwestern Algeria. This region is part of the large Cheliff basin. It has experienced significant economic growth, particularly in the agricultural sector, which has contributed to the gradual degradation of groundwater quality. The main objective of this study is to assess the quality of groundwater in the alluvial aquifer of the plain and to analyze the impact of agricultural activities and industrial wastewater discharges on this resource.
As part of this study, two sampling campaigns were conducted in 2016, during the high and low water periods. A total of 32 samples were collected by the National Water Resources Agency from 21 water points, including 19 wells and 2 piezometers. The analyses were carried out in the agency’s laboratory by its specialized technicians. Several methods were used to interpret the results: statistical analysis of chemical data (descriptive statistics, correlation matrices, principal component analysis – PCA), determination of the main hydrochemical facies, mapping of physicochemical parameters, binary diagrams, and identification of potential pollution sources.
The data interpretation revealed high groundwater salinity, predominantly characterized by a calcium-chloride facies, with occasional occurrences of sodium-chloride and calcium-bicarbonate facies. The chemical quality of groundwater for irrigation purposes is considered poor to very poor, mainly due to the presence of salinity and of nitrates from intensive agricultural practices and untreated wastewater discharges. According to the Wilcox classification, three water quality types were identified: good, poor, and very poor, some of which may have a negative impact on the environment if used over the long term.
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Impact des activités agricoles et industrilles sur la qualité des eaux souterraines de la plaine de Khemis Miliana [texte imprimé] / Dalila Chibani, Auteur ; Massissilia Terzout Yettou, Auteur ; Elaid Madene, Auteur . - Tipaza [Algérie] : Centre universitaire Morsli Abdellah - Tipaza-, 2024/2025 . - p.89 : couv. en noir et blanc ., ill., fig.,tabl. ; 30 cm + CD. Bibliographie: p79-82.
Annexes: p83-89. Langues : Français ( fre)
| Catégories : |
Agronomie
|
| Mots-clés : |
Groundwater Pollution Nitrates Agricultural Activities Khemis Miliana Plain. |
| Index. décimale : |
630.18 |
| Résumé : |
The study area corresponds to the Khemis Miliana plain, located in the Aïn Defla province in northwestern Algeria. This region is part of the large Cheliff basin. It has experienced significant economic growth, particularly in the agricultural sector, which has contributed to the gradual degradation of groundwater quality. The main objective of this study is to assess the quality of groundwater in the alluvial aquifer of the plain and to analyze the impact of agricultural activities and industrial wastewater discharges on this resource.
As part of this study, two sampling campaigns were conducted in 2016, during the high and low water periods. A total of 32 samples were collected by the National Water Resources Agency from 21 water points, including 19 wells and 2 piezometers. The analyses were carried out in the agency’s laboratory by its specialized technicians. Several methods were used to interpret the results: statistical analysis of chemical data (descriptive statistics, correlation matrices, principal component analysis – PCA), determination of the main hydrochemical facies, mapping of physicochemical parameters, binary diagrams, and identification of potential pollution sources.
The data interpretation revealed high groundwater salinity, predominantly characterized by a calcium-chloride facies, with occasional occurrences of sodium-chloride and calcium-bicarbonate facies. The chemical quality of groundwater for irrigation purposes is considered poor to very poor, mainly due to the presence of salinity and of nitrates from intensive agricultural practices and untreated wastewater discharges. According to the Wilcox classification, three water quality types were identified: good, poor, and very poor, some of which may have a negative impact on the environment if used over the long term.
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