Chinese Journal of Agrometeorology ›› 2017, Vol. 38 ›› Issue (07): 407-416.doi: 10.3969/j.issn.1000-6362.2017.07.002

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Evolution Characteristics of the Extreme Temperature in Huaihe River Basin from 1960 to 2012

XIE Zhi-xiang,LI Ya-nan,QIN Yao-chen,ZHANG Yan-ping   

  1. College of Environment and Planning, Henan University/Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng 475004,China
  • Received:2016-11-17 Online:2017-07-20 Published:2017-07-14

Abstract: Based on daily maximum and minimum temperature observed by the China Meteorological Administration at 28 meteorological stations in the Huaihe River Basin from 1960 to 2012, linear trend estimation Mann-Kendall test mutations and wavelet analysis were used to analyze extreme temperature changes. Twelve indices of extreme temperature were included. The results showed that: (1) cool night, ice days and frost days displayed declining trend at rates of 4.08, 0.78 and 5.10d·10y-1(P<0.05) respectively, warm nights, summer days and tropical nights exhibited rising trend at rates of 1.87, 2.08 and 2.82d·10y-1(P<0.05), the trends for annual maximum (minimum) value of daily minimum and annual minimum value of daily maximum range were 0.34(0.62) and 1.80℃·10y-1(P<0.05), while cool days, warm days and annual maximum value of daily maximum range were not significant. (2) Spatial distribution of linear tread in extreme temperature indices in Huaihe River Basin had big differences. In general, cool days, cool nights, ice days, frost days and annual maximum (minimum) value of daily minimum were showed obviously positive (negative) trends in Middle and Lower Huaihe River Region, but the change in Upper Huaihe River Region were not obvious at all. The range of variation in warm indices in the South and East of Huaihe River Basin were more sensitive than the North and West. (3) The time points of abrupt change for cold indices were mainly concentrated in 1980s, while the time points of abrupt change for warm indices were happened around 2000. Compared with cold indices, the mutation of warm indices showed the characteristics of ductility, stability and continuity. (4) There were 4 classes time variation of cold indices when the warm indices had 3 kinds of scale. The period of cold indices was more stability than the warm indices, especially for the time scale under ten cycles.

Key words: Extreme temperature, Trend variations, Spatial difference, Mann-Kendall, Wavelet analysis, Huaihe river basin