STATISTICAL ANALYSIS OF HYDROCHEMICAL PARAMETERS OF THE RACHA-LECHKHUMI AND KVEMO SVANETI REGIONS NATURAL WATERS

Water resource protection is significant for Georgia since the intensity of anthropogenic impact on the Georgian ecosystem has been substantially increased over the recent period, at the same time, several diseases with high risk for population life have been considerably increased, as well. The work provides the physical-chemical and hydrochemical characteristics of rivers, artesian and spring waters available at the territories adjacent to the arsenic processing enterprises in the region for 2021-2024. pH, electric conductivity, biogenic substances, principal ions, mineralisation, total arsenic form, and microbiological parameters have been determined in the water samples taken. Statistical characteristics were calculated, including the average value, absolute maximum and minimum, and standard deviation - for some indicators of hydrochemical analysis of natural waters. In some cases, an exceedance of some polluting ingredients of natural waters over maximum allowable concentrations has been observed. River waters have a low arsenic hazard index (HQsw less than 1) and are not at risk. In some artesian and drinking waters, the arsenic hazard index (HQdw>1) is at risk. The correlation coefficient between the concentrations of cations and anions in the rivers was calculated using the Pearson formula. Positive and negative correlations are established. Created linear regression equations for pairs of statistically significant correlation coefficients and calculated coefficients of determination for use in practical calculations.

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Journal
International Multidisciplinary Scientific GeoConference SGEM ...
Published
2024-12-15
DOI
https://doi.org/10.5593/sgem2024v/3.2/s11.14
Primary Topic
Environmental Science and Water Management
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article

STATISTICAL ANALYSIS OF HYDROCHEMICAL PARAMETERS OF THE RACHA-LECHKHUMI AND KVEMO SVANETI REGIONS NATURAL WATERS

L. Shavliashvili, Ekaterine Shubladze, M. Tabatadze, E. Sh. Elizbarashvili
International Multidisciplinary Scientific GeoConference SGEM ...
Environmental Science and Water Management
article

STATISTICAL ANALYSIS OF HYDROCHEMICAL PARAMETERS OF THE RACHA-LECHKHUMI AND KVEMO SVANETI REGIONS NATURAL WATERS

L. Shavliashvili, Ekaterine Shubladze, M. Tabatadze, E. Sh. Elizbarashvili
article en

Abstract

Water resource protection is significant for Georgia since the intensity of anthropogenic impact on the Georgian ecosystem has been substantially increased over the recent period, at the same time, several diseases with high risk for population life have been considerably increased, as well. The work provides the physical-chemical and hydrochemical characteristics of rivers, artesian and spring waters available at the territories adjacent to the arsenic processing enterprises in the region for 2021-2024. pH, electric conductivity, biogenic substances, principal ions, mineralisation, total arsenic form, and microbiological parameters have been determined in the water samples taken. Statistical characteristics were calculated, including the average value, absolute maximum and minimum, and standard deviation - for some indicators of hydrochemical analysis of natural waters. In some cases, an exceedance of some polluting ingredients of natural waters over maximum allowable concentrations has been observed. River waters have a low arsenic hazard index (HQsw less than 1) and are not at risk. In some artesian and drinking waters, the arsenic hazard index (HQdw>1) is at risk. The correlation coefficient between the concentrations of cations and anions in the rivers was calculated using the Pearson formula. Positive and negative correlations are established. Created linear regression equations for pairs of statistically significant correlation coefficients and calculated coefficients of determination for use in practical calculations.

International Multidisciplinary Scientific GeoConference SGEM ...Vol. 24
Georgian Technical University (GE), Norsk Hydro (Norway) (NO)
Openalex Percentile: Top 73%
Environmental Science and Water Management
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STATISTICAL ANALYSIS OF HYDROCHEMICAL PARAMETERS OF THE RACHA-LECHKHUMI AND KVEMO SVANETI REGIONS NATURAL WATERS — L. Shavliashvili, Ekaterine Shubladze, et al. · International Multidisciplinary Scientific GeoConference SGEM ... (2024) | TGRS Research Map | TGRS