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關(guān)鍵詞: 城市熱島強(qiáng)度, 最高氣溫, 最低氣溫, 非對(duì)稱(chēng)性變化

Abstract: Seasonal and annual trends of mean, minimum and maximum temperature series in Wuhan meteorological station and four rural stations averaged from 1960 to 2005, from 1960 to 1982 and from 1983 to 2005, respectively, together with the trends of urban heat island intensity and its contribution rate were calculated. The main results are: 1) most of the temperature trends are positive, the warming rate of minimum temperature is higher than that of maximum temperature, the warming rate is high in winter than in summer, there is an apparent asymmetrical change; 2) the urban heat island effect has intensified during the last 46 years in Wuhan, the warming rates of mean, minimum and maximum temperatures are 0.235, 0.425 and 0.034℃/10a, and the contribution rates to the series are 60.4%, 67.7% and 21.8%, respectively; 3) the increases of the temperature and heat island intensity are mainly contributed by the rapid warming in the latest two decades. Abstract: Seasonal and annual bias rates of mean，minimum and maximum temperature series in Wuhan meteorological station and 4 suburb stations averaged from 1960 to 2005, form 1960 to 1982, from 1983-2005, together with the bias rates of urban heat island intensity and its contribution rate are calculated. The main results are: 1)most of the temperature bias rates are positive, the warming rate of minimum temperature is higher than that of maximum temperature, the warming rate is high in winter than in summer, there is apparent asymmetric change; 2)the urban heat island effect has intensified in last 46 years, in Wuhan, the warming rate of mean, minimum and maximum temperature is 0.235, 0.425 and 0.034℃/10a, and the contribution rates to the series get 60.4%, 67.7% and 21.8% respectively; 3)the increasing of the temperature and heat island intensity in last 46 years is mainly contributed by the latest 23 years. The urban heat island effect is seriously included in the temperature series in Wuhan, moving the station is strongly suggested. Key words: urban heat island intensity, maximum temperature, minimum temperature, asymmetric change

Key words: urban heat island intensity, maximum temperature, minimum temperature, asymmetrical change