دورية أكاديمية
Hydro-chemometrics of the Nubian Aquifer in Sudan: an integration of groundwater quality index, multivariate statistics, and human health risk assessment
| العنوان: | Hydro-chemometrics of the Nubian Aquifer in Sudan: an integration of groundwater quality index, multivariate statistics, and human health risk assessment |
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| المؤلفون: | Musaab A. A. Mohammed, Abdelrhim Eltijani, Norbert P. Szabó, Péter Szűcs |
| المصدر: | Discover Water, Vol 3, Iss 1, Pp 1-24 (2023) |
| بيانات النشر: | Springer, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Water supply for domestic and industrial purposes LCC:Environmental sciences |
| مصطلحات موضوعية: | Khartoum state, Nubian Aquifer system, Principal components, Cluster analysis, Hydrochemistry, Water supply for domestic and industrial purposes, TD201-500, Environmental sciences, GE1-350 |
| الوصف: | Abstract This research employed the groundwater quality index (GWQI), multivariate statistical methods, and human health risk assessment model to investigate the suitability of groundwater for domestic uses in northern Khartoum state, Sudan. The groundwater samples were analyzed for eleven physiochemical parameters, including pH, EC, TDS, TH, Cl−, SO4 2−, NO3 −, Ca2+, Mg2+, Na+, HCO3 − and the primary investigation indicated the deviation of these parameters from World Health Organization (WHO) standards. The hydrochemical analysis revealed different groundwater facies with the dominance of Ca–Mg–HCO3 water type. Consequently, the groundwater samples were classified, based on GWQI, into three categories as 76.4% of the samples fall in the excellent water class, 17.6% are projected in the good water class, and 5.9% of groundwater samples are considered unsuitable for human consumption. The multivariate statistical methods were applied, including Pearson’s correlation analysis, principal component analyses (PCA), and hierarchical cluster analysis (HCA). Three principal components (PCs) explaining 86.07% of total variances are extracted. These PCs indicated that rock-water interactions and agricultural practices influence groundwater quality in the study area. Additionally, HCA is used to categorize groundwater samples based on the concentration of the physiochemical parameters. Consequently, three types of groundwater were identified as low, medium, and highly mineralized. In the final stage, the non-carcinogenic human health risk was assessed based on the concentration of NO3 − using the United States Environmental Protection Agency (USEPA) models. The obtained hazard quotient for children indicated that 64.7% of groundwater samples are beyond the permissible limit (1 |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2730-647X |
| Relation: | https://doaj.org/toc/2730-647X |
| DOI: | 10.1007/s43832-023-00039-9 |
| URL الوصول: | https://doaj.org/article/12c87f27923e45c9bdb09068d349ba2e |
| رقم الأكسشن: | edsdoj.12c87f27923e45c9bdb09068d349ba2e |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2730647X |
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| DOI: | 10.1007/s43832-023-00039-9 |