HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (15): 42-49.doi: 10.14088/j.cnki.issn0439-8114.2022.15.007

• Resource & Environment • Previous Articles     Next Articles

Characteristics of spatial and temporal changes of extreme climate events in the Kaidou River-Kongque River Basin in Xinjiang in recent 59 years

PAN Yin-mei1, DAI Xue-rong1,2, MAO Dong-lei1   

  1. 1. School of Geographic Science and Tourism, Xinjiang Normal University/Xinjiang Key Laboratory of Lakes Environment and Resources in Arid Zone, Urumqi 830054, China;
    2. School of Geographic Sciences, East China Normal University, Shanghai 200241,China
  • Received:2022-05-16 Online:2022-08-10 Published:2022-08-25

Abstract: Based on the daily maximum and minimum temperature and precipitation data of 8 meteorological stations in Kaidou River-Kongque River Basin of Xinjiang from 1961 to 2019, the temporal and spatial variation characteristics of 18 extreme climate indicators were analyzed by means of univariate linear regression, Mann-Kendall mutation test, inverse distance weight interpolation and correlation analysis. The results showed that, from the aspect of time, the extreme high temperature indexes in most areas of Kaidou River-Kongque River Basin showed a significant upward trend, and the daily temperature range (DTR) and extreme low temperature index mainly showed a downward trend. The change of extreme precipitation indexes were not obvious, and the maximum number of consecutive dry days (CDD) showed a significant downward trend. The abrupt change time of extreme temperature was mainly from the late 1980s to the early 21st century, and the abrupt change year of extreme precipitation index was mainly from the 1980s to the early 1990s. From the aspect of space, climate tendency rate of the extreme temperature indexes including summer days (SU25), tropical nights (TR20), warm days (TX90p), warm spell duration (WSDI), ice days (ID0) showed the distribution characteristics of low in the northwest and high in the southeast, and cold spell duration index (CSDI), cold nights (TN10p), cold days (TX10p) and DTR were on the contrary; crop growth period (GSL), warm nights (TN90p) became larger and larger around the northeast and the number of frost days (FD0) beaome smaller and smaller around the northeast. The extreme precipitation indexes including the maximum 1-day precipitation (RX1day), the number of moderate rain days (R10), the heavy precipitation (R95p), the maximum consecutive wet days (CWD) showed the distribution characteristics of high in the northwest and low in the southeast. The change rate of TN90p, TN10p and CDD was the most obvious. Extreme weather events were significantly positively correlated with the increase of temperature and precipitation.

Key words: extreme temperature index, extreme precipitation index, spatial and temporal distribution, Kaidou River-Kongque River Basin, Xinjiang

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