Analysis of the temporal-spatial variation characteristics of drought in the Xinjiang based on the meteorological drought comprehensive index

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  • 1. Xinjiang Climate Center, Urumqi 830002, Xinjiang, China
    2. Anhui Climate Center, Hefei 230031, Anhui, China

Received date: 2021-05-11

  Revised date: 2021-07-16

  Online published: 2022-01-24

Abstract

According to the national standard of meteorological drought grade revised in 2017, the daily meteorological drought comprehensive index (MCI) of meteorological stations was calculated based on the daily meteorological data of 99 stations in Xinjiang from 1961 to 2020. The temporal and spatial characteristics of drought intensity in Xinjiang over the last 60 years were analyzed using correlation analysis, linear trend analysis, mutation tests, and empirical orthogonal function (EOF). The MCI monitoring results were in good agreement with precipitation anomaly percentages and drought disaster records in Xinjiang. The degree of drought changed abruptly around 1987. From 1988, the degree of drought was generally lower. Furthermore, the degree of drought in spring, summer, and autumn showed a significant weakening trend. Taking Tianshan Mountain as the boundary, northern Xinjiang was drier than southern Xinjiang and the pastoral area was drier than the agricultural area. The drought was severe in spring, it was severe in the west of North and South Xinjiang in summer, but it was generally lighter in autumn. The first mock exam of EOF expansion reflected the average state of drought change in the whole region. The second mode reflected the opposite trend of drought in North and South Xinjiang. In the last 60 years, the spatial and temporal variation of drought intensity in Xinjiang was generally consistent but differed among local areas.

Cite this article

WU Xiulan,DUAN Chunfeng,Mayila Maimaitiaili,ZHANG Jingli,ZHANG Taixi . Analysis of the temporal-spatial variation characteristics of drought in the Xinjiang based on the meteorological drought comprehensive index[J]. Arid Zone Research, 2022 , 39(1) : 75 -83 . DOI: 10.13866/j.azr.2022.01.08

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