Analysis of temporal-spatial variation characteristics of extreme air temperature in Xinjiang, China
Analysis of temporal-spatial variation characteristics of extreme air temperature in Xinjiang, China
复制标题
新疆极端气温时空变化特征分析
DOI：
10.1016/j.quaint.2012.01.033
复制
发表时间：
2012-12-19
影响因子：
2.2
通讯作者：
Xu, Xinwen
中科院分区：
文献类型：
--
作者：
Ling, Hongbo;Xu, Hailiang;Xu, Xinwen
利用1961—2007年新疆极端气温资料，利用Mann-Kendall单调趋势检验和小波分析，探讨了新疆极端气温的变化趋势和周期时空格局。结果表明：(1)新疆北部、南部和东部的年平均最高气温、年平均最低气温和年最低气温均显著上升，而年最高气温的上升不显著。(2)年平均最高气温的上升趋势东部强于北部，南部最弱。年平均最低气温的上升趋势东部最强，南部次之，北部次之。年最高气温南部上升较北部强，东部上升最弱。年最低气温变化南部高于东部，北部最低。(3)年平均最高气温、年平均最低气温和年平均最低气温的平均值均以南部最高，东部次之，北部次之。年最高气温均值东部最高，北部次之，南部最低。(4)极端气温出现了3 ~ 11 a的显著周期变化。(5)基于显著周期，小波系数能较好地预测未来极端气温的变化趋势。研究结果可用于研究区气象灾害预警和实现农业可持续发展。(C) 2012 Elsevier Ltd和INQUA。版权所有。
Based on data from 1961 to 2007, this paper discusses the variation trend and the periodic temporal-spatial patterns of the extreme air temperature in Xinjiang by means of the Mann-Kendall monotonous trend test and wavelet analysis. The results are as follows: (1) In the north, south and east of Xinjiang, the annual average maximum air temperature, annual average minimum air temperature and annual minimum air temperature all rose remarkably, while the rise of the annual maximum air temperature was not significant. (2) The rising trend of the annual average maximum air temperature was stronger in the east than in the north, and it was weakest in the south. The rising trend of annual average minimum air temperature was strongest in the east, followed by the south and the north. The annual maximum air temperature rose more strongly in the south than in the north, and the rise was weakest in the east. The change in annual minimum air temperature was higher in the south than in the east and was lowest in the north. (3) The mean values of annual average maximum temperature, annual average minimum temperature, and annual minimum temperature were highest in the south, followed by the east and north. The mean value of annual maximum temperature was highest in the east, followed by the north, and it was the lowest in the south. (4) Significant periodic variations with periods of 3-11 years appeared in the extreme air temperatures. (5) Wavelet coefficients can predict well the variation trend of extreme temperature in the future based on a significant period. These results can be applied in early warning of meteorological disasters and in realizing sustainable agricultural development in the study area. (C) 2012 Elsevier Ltd and INQUA. All rights reserved.