Assessment of heavy metal(loid)s in groundwater by multivariate statistical analysis and metals pollution indices: a case study of Çarşamba coastal aquifer, North Turkey

Hassan, Abdourazakou Maman; Ersoy, Arzu Fırat; Turan, Nazlı Ayyildiz

doi:10.1007/s12517-021-09007-w

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…All Mn values measured during this study exceeded the permissible limit value prescribed by [34]. In adults, exposure to high concentration of Mn can cause diseases such as manganism, Parkinson-like disorder, neurological, neuropsychological and pulmonary diseases [36]- [38].…”

Section: B Descriptive Statistical Of Heavy Metals and Black Carbonmentioning

confidence: 51%

Assessment of Atmospheric Pollutants Concentrations by Using Multivariate Statistical Analysis: A Case Study of Commune 5 of Niamey City, Niger

Daou

Harouna

Hassan

et al. 2022

EJGEO

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The aim of this present study is to determine the physicochemical properties of atmospheric particles in commune 5 of the Niamey region. For this purpose, the determination of the atmospheric physical and chemical properties was carried out using a low-volume sampler, a Davis-type weather station, a balance high sensitivity, The Thermo XL2 and the black carbon reflectometer. The pollutants concerned by this study are mainly fine particulate matter (PM2.5), black carbon and heavy metals such as Cr, Cu, Hg, Mn, Ti, V, Zn, Ba, Fe and Sr. According to the result of this study which is carried out over 30 days, the PM2.5 concentrations of air measured were between 0 and 286.54 μg/L with a mean value of 11.65 μg/L. The temperature values were between 24 and 27 °C with an average value of 25.3°C. The humidity value of measured air varies between 8 and 17 % with a mean value of 13.3 %. The measured wind speed values are between 3.24 and 6.48 Km/h with an average value of 4.14 Km/h. According to World Health Organization guidelines the PM2.5, Mn, Hg, Ba, Cr and black carbon concentrations measured during this study exceeded the permissible limit values. Correlation analysis results highlighted a strong correlation between Mn-Fe, Mn-Zn, Mn-Ti, Mn-V, Mn-Cr, Zn-Ti, Zn-V, Zn-Cr, Ti-V, and Ti-Cr indicating that these ions come from a common source. According to principal component analysis for heavy metals, three principal factors that explain 87.34% of the total variance have been formed. Component 1 includes V, Zn, Ti and Cr with a variance value of 56.067 %; the second factor includes Ba and black carbon with a variance value of 19.665 % and the third factor is only represented by Sr with a variance value of 11.612 %. The high value of variance observed in the first group of components indicated that V, Zn, Ti and Cr are the main pollutants that control the air pollution in the study area.

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Section: B Descriptive Statistical Of Heavy Metals and Black Carbonmentioning

confidence: 51%

Assessment of Atmospheric Pollutants Concentrations by Using Multivariate Statistical Analysis: A Case Study of Commune 5 of Niamey City, Niger

Daou

Harouna

Hassan

et al. 2022

EJGEO

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Heavy metal geochemistry and toxicity assessment of water environment from Ib valley coalfield, India: Implications to contaminant source apportionment and human health risks

Bharat,

Singh,

Mahato

2024

Chemosphere

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Impacts of climate change and coastal salinization on the environmental risk of heavy metal contamination along the odisha coast, India.

Nayak,

Nandimandalam

2023

Environmental Research

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Assessment of heavy metal(loid)s in groundwater by multivariate statistical analysis and metals pollution indices: a case study of Çarşamba coastal aquifer, North Turkey

Cited by 5 publications

References 37 publications

Assessment of Atmospheric Pollutants Concentrations by Using Multivariate Statistical Analysis: A Case Study of Commune 5 of Niamey City, Niger

Assessment of Atmospheric Pollutants Concentrations by Using Multivariate Statistical Analysis: A Case Study of Commune 5 of Niamey City, Niger

Heavy metal geochemistry and toxicity assessment of water environment from Ib valley coalfield, India: Implications to contaminant source apportionment and human health risks

Impacts of climate change and coastal salinization on the environmental risk of heavy metal contamination along the odisha coast, India.

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