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

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M. Tabatadze; L. Shavliashvili; G. Kuchava; E. Shubladze; E. Elizbarashvili
10.5593/sgem2024v/3.2/s11.14
10.5593/sgem2024v/3.2
1314-2704
978-619-7603-76-7
English
24
3.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Hydrology, Water Resources, and Climate Resilience
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<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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This study is supported by the Shota Rustaveli National Science Foundation of Georgia with grant No FR-21-427
conference
https://doi.org/10.5593/sgem2024v/3.2/s11.14
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
107-114
27 - 30 November, 2024
website
10060
water resources, pollution, arsenic, statistical analysis, correlation coefficient.

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