Evaluation of climate parameters of Black Sea coastline in the background of climate change

JOURNAL OF ENVIRONMENTAL BIOLOGY(2017)

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摘要
Aim: The Black Sea coastline of Georgia is evaluated as the region, characterized with highest grade of ecological vulnerability. For evaluating the climate change level of this region, the dynamics of climate parameters (temperature and precipitation) change during certain time period was accessed and analyzed. Methodology: The study is based on the observation data of the National Environmental Agency and weather stations operating, in the past or at present, on the Black Sea coast. The data on air temperature (1930-2010) and sum of precipitations (1957-2006) for weather stations Batumi (air temperature 1931-2010), Poti (1930-2009) and statistical, climatologic and graphical analysis of treatment of many-year meteorological data were used for the study. Results: According to linear approximation trend of 80 year observational data, average temperature in Batumi had increased by 0.70 degrees C. Meanwhile, average temperature in Poti had increased by 0.30 degrees C. The maximum temperature in Batumi had increased by 3.29 degrees C and the minimal temperature also increased by 1.65 degrees C. The maximum temperature in Poti increased by 1.42 degrees C, and the minimal temperature also increased by 1.21 degrees C. The linear approximation trend of 50 years (1957-2006) observation data, the annual precipitation in Batumi decreased from 2650 mm to 2550 mm, i.e. by 100 mm. Meanwhile, the annual sum of precipitation in Poti increased from 1700 mm to 2150 mm, i,e,, precipitation increased by 450 mm. Interpretation: In the background of the global climate change, the temperature and amount of precipitation sharply changed, with pronounced warming and cooling periods. The study analysis gives opportunity to initiate and implement the relevant activities for maximum protection of natural ecosystems, economy, tourism and healthcare from a negative impact of climate change.
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关键词
Black Sea,Climate change,Meteorological data
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