Statistical assessment of seasonal variation of groundwater quality in Çarşamba coastal plain, Samsun (Turkey)

Hassan, Abdourazakou Maman; Ersoy, Arzu Fırat

doi:10.1007/s10661-022-09791-2

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…A value close to 0 indicates that there is no relationship between the variables. When this value is between 0.5 and 0.7 then a moderate correlation exists between the variables and finally, when this value is greater than 0.7 there is a strong correlation between the variables [28], [29].…”

Section: [Xi] =mentioning

confidence: 99%

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: [Xi] =mentioning

confidence: 99%