Application of time2series model on the temperature variation analysis in Weihai in recent 50 years
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Abstract:
The time 2series model with the statistical methods, such as trend analysis, wavelet transforms, and Mann 2Kendall mu2 tation test, were used to analyze the annual variations of average, maximum, and minimum temperatures, seasonal variations and time 2frequency characteristics of annual average temperature, and to conduct mutation test of average temperatures in Weihai from 1964 to 2013. The results showed that ( 1) the annual average temperature in Weihai increased from 1964 to 2013 with an inclination rate of 0 1 35 e / ( 10a) ; ( 2) the inclination rates of seasonal temperature were 01427 e / ( 10a) , 0 1 268 e /( 10a) , 01241 e /(10a) , and 0 1 287 e / (10a), and the largest contribution to the average annual temperature in the area was spring; (3) spring temperature appeared the alternate variations with down2up 2down 2up2down trends, and spring was the season with the most significant variations; (4)the mutation of annual average temperature occurred in 1987; and (5) temperature in each season increased significantly after the mutation.