2022
DOI: 10.3390/ijerph19116472
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Geochemical Modeling Source Provenance, Public Health Exposure, and Evaluating Potentially Harmful Elements in Groundwater: Statistical and Human Health Risk Assessment (HHRA)

Abstract: Groundwater contamination by potentially harmful elements (PHEs) originating from the weathering of granitic and gneissic rock dissolution poses a public health concern worldwide. This study investigated physicochemical variables and PHEs in the groundwater system and mine water of the Adenzai flood plain region, in Pakistan, emphasizing the fate distribution, source provenance, chemical speciation, and health hazard using the human health risk assessment HHRA-model. The average concentrations of the PHEs, viz… Show more

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Cited by 22 publications
(13 citation statements)
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“…The groundwater results of the present study for NPI were compared with the study conducted by Swati and Umesh. The results are consistent and result-oriented [60,107]. The percentage contributions of NPI for exceeded parameters EC, turbidity, PO 4 , and Cr were recorded up to 100%, 42%, 100%, and 100%, respectively.…”
Section: Nemarow's Pollution Indexingsupporting
confidence: 70%
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“…The groundwater results of the present study for NPI were compared with the study conducted by Swati and Umesh. The results are consistent and result-oriented [60,107]. The percentage contributions of NPI for exceeded parameters EC, turbidity, PO 4 , and Cr were recorded up to 100%, 42%, 100%, and 100%, respectively.…”
Section: Nemarow's Pollution Indexingsupporting
confidence: 70%
“…The toxic effect and hazardous nature of HMs in groundwater ingestion are functions of their speciation rather than the total concentrations of toxic metals. The results of this study were compared with the findings of Rashid et al, 2022, which determined a consistent trend of groundwater saturation from surrounding chromite mines in the ultramafic terrain of the Malakand area [60].…”
Section: Mineral Phases Of Groundwater Variablessupporting
confidence: 56%
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“…Positive values represent that the water variable was significantly influenced by different processes, whereas negative values indicate that the saturation of the water chemistry was not affected. Thus, a Pearson correlation coefficient (r) significant pair at a 0.05 alpha level with 95% confidence was calculated [ 41 ]. In this work, Pearson correlation analysis was employed to determine the relationship between numerous water chemical characteristics.…”
Section: Methodsmentioning
confidence: 99%