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JOURNAL OF DESERT RESEARCH ›› 2016, Vol. 36 ›› Issue (4): 1097-1105.DOI: 10.7522/j.issn.1000-694X.2016.00080

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Extreme Temperatures Indexes in North Shaanxi during 1960-2013

Wang Yu1, Feng Qi2   

  1. 1. College of Tourism and Environment, Shaanxi Normal University, Xi'an 710062, China;
    2. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2016-05-07 Revised:2016-06-07 Online:2016-07-20 Published:2016-07-20

Abstract: Based on daily temperatures data in 6 weather stations, this study applied Mann-Kendall nonparametric tests to analyze the variation of extreme temperatures indexes from 1960 to 2013 in north Shaanxi. The results showed that: (1)Annual mean, maximum and minimum temperatures were significant rising (P<0.05) with rates of 0.27℃/10a, 0.24℃/10a, 0.28℃/10a respectively in north Shaanxi during 1960-2013, and winter temperatures warms up biggest and spring next. (2) The yearly maximum value of daily minimum temperature, warm night, and warm day were significantly increased (P<0.05) with rates of 0.054℃/10a, 1.83 d/10a, 1.4 d/10a respectively; the yearly maximum value of daily maximum temperature increased at a rate of 0.0 92℃/10a; warm night, and warm day showed a significant increasing trend in each season; the daily temperature range decreased at a rate of 0.036℃/10a; the length of growth increased at a rate of 2.4 d/10a. And 50% of stations increased in each indexes, except the length of growth. (3) The yearly minimum value of daily maximum temperature weak increased and the growth rate was 0.217℃/10a; the yearly minimum value of daily minimum temperature decreased at a rate of 0.015℃/10a; cold day performance a significant decreasing trend (P<0.05), the change amplitude of 0.48 d/10a; cold day were decreased in each season, except the summer; cold night significant decreased (P<0.05)at a trend of 0.98 d/10a; frost day and ice day reduced at rates of 2.2/10a, 2.4 d/10a respectively. And 100% of stations increased in each indexes, except the yearly minimum value of daily maximum temperature, the yearly minimum value of daily minimum temperature. (4) Warm indexes increased more than coldness indexes decreasing, and night indexes were greater decreased than the day indexes increasing. Polarization distribution trend of extreme temperature result in frequently high temperature, drought, and freezing disasters in the study area.

Key words: extreme temperatures index, Mann-Kendall test, climate change, north Shaanxi

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