中国西北地区1961-2015年干湿程度的区域特征分析
he regional Character of dry and wet degree over Northwest China from 1961 to 2015
利用1961-2015年中国西北地区(35 N以北,115 E以西)116个气象台站的月分辨率观测资料,由降水和潜在蒸散量的比值构建干燥度指数(AI),依据其旋转经验正交函数分解(REOF)的结果,将西北地区分为5个区域,分别为:1、北疆,2、南疆,3、内蒙西部地区,4、高原地区和5、西北东部地区。分析各个区域干燥度的年代际变化并利用气候变化趋势转折判别模型(PLFIM)确定其是否存在转折点,进而分析各个气候因子对不同区域AI变化的贡献。结果表明,北疆和南疆地区干燥度的变化趋势在1978和1993年发生了年代际转折,北疆表现出变干-变湿-变干的模式,南疆表现出变干-变湿-变湿的模式;内蒙西部地区不存在转折点,整体变湿;高原地区存在2个转折点,1961-1985年变湿,1985-2000年变干,2000年以后变湿;西北东部地区,存在一个转折点,2000年以前整体变干,2000年以后,整体变湿。各个季节变化与年干燥度的变化存在着差异。年和季节AI变化的主要影响因子以降水为主,但其他气候因子也起到了不容忽视的作用。
Using monthly observation data from 1961 to 2015 of 116 meteorological stations in northwest China (north of 35 N, west of 115 E), we calculated aridity index (AI) defined by the ratio of precipitation (P) to potential evapotranspiration (PET). According to the result of rotated empirical orthogonal function (REOF) for AI, the Northwest China can be divided into five regions: 1, northern Xinjiang; 2, southern Xinjiang; 3, western Inner Mongolia region; 4, plateau region and 5, eastern of northwest region. Furthermore, we analysed the temporal change characteristics of AI across different regions and determined whether there was breakpoints using Tomé and Miranda's climate trend turning discriminatory model, after that we quantified the individual contributions of every factors to the changes of AI across different regions. The results showed that there were two breakpoints, 1978 and 1993. The "dry-wet-dry" and "dry-wet-slightly wet" pattern were showed in the northern Xinjiang and southern Xinjiang, respectively. Breakpoint was not found in western Inner Mongolia region, it got wetter during 1961-2015 in this region. There are two breakpoints in Plateau region, it was wet during 1961-1985, and then dry during 1985-2000, after 2000 it got wet again. In eastern of northwest region, it was dry before 2000 and then wet after 2000. The characteristics of seasonal change of AI were different with their annual. The precipitation was the most impotant factor in affecting the change of annual and seasonal trend of AI, however other factors also play the important and indispensable roles in their changes.
刘畅、马玉霞、黄伟
大气科学(气象学)
西北地区干湿程度年代际转折
Northwest Chinadry and wet degreeinter-decadal turning
刘畅,马玉霞,黄伟.中国西北地区1961-2015年干湿程度的区域特征分析[EB/OL].(2017-03-20)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201703-250.点此复制
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