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Climate change and its impacts on extreme climate events in Liaoning Province of Northeast China.

GONG Qiang1**, WANG Hong-yu2, ZHANG Yun-fu1, WANG Ying1, CUI Yan1, ZHOU Xiao-yu1, ZHANG Hai-na1   

  1. (1Shenyang Regional Climate Center, Shenyang 110016, China; 2 Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China)
  • Online:2013-06-10 Published:2013-06-10

Abstract: Based on the 1961-2010 climate data from 55 meteorological stations, and by using linear regression and the comparison of different standard climate periods, this paper analyzed the changes in climate factors and their impacts on the extreme climate events in Liaoning Province. In recent 50 years, the mean annual air temperature in the Province had a significant increase, with an increment of 0.30 ℃ per decade. The increasing rate of the mean daily minimum air temperature (0.48 ℃ per decade) was over twice of that of the mean daily maximum air temperature (0.20 ℃ per decade). As compared with those in the first standard climate period (1961-1990), the mean annual air temperature in the nearest 30-year standard climate period (1981-2010) increased by 0.5℃, the annual sunshine duration reduced by nearly 100 h, but the precipitation had no obvious change trend. Under the background of climate warming, the summer chilling damage and the extreme cold events  still occurred. Extreme precipitation had no significant change trend, but the interannual fluctuation of the maximum daily precipitation and of the process maximum precipitation was greater than the linear trend. The extreme precipitation showed signs of expansion from eastern Liaoning to the whole province. No significant change was observed on the snow cover depth, but the top two ranks of the maximum snow depth all occurred after 2000. The frozen soil depth had a significantly  decreased trend. Under the background of climate warming, the precaution against extreme climate events should not be ignored.

Key words: moso bamboo, net photosynthetic rate, retrieve, wavelet transform, hyper spectral remote sensing.