The Use of Structured Data for Drought Evaluation in Georgia
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Abstract
The drought is frequent phenomena in Georgia. The SPI and SPEI drought indices were calculated to analyse drought frequency and intensity on the territory of Georgia in 1991-2020 period. The structured data of hydrometeorological observation net have been used to calculate following statistical parameters: Pearson correlation, mean deviation, and absolute deviation, both for the entire period and for months. The programs R and R-instat are used to calculate and visualize these parameters. The correlation coefficient is in good agreement for all cases, and the absolute deviation shows data scattering, which should be related to the complex relief of Georgia, as well as the heterogeneity of data series. The study is important for climate change assessment, hydrometeorological disaster early warning system, as the territory of Georgia is under the risk of this phenomenon.
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References
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