|Water Science and Engineering 2013, 6(2) 131-144 DOI: doi:10.3882/j.issn.1674-2370.2013.02.002 ISSN: 1674-2370 CN: 32-1785/TV|
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Climate change characteristics of Amur River
Lan-lan YU*1, Zi-qiang XIA2, 3, Jing-ku LI1, Tao CAI4
1. River Basin Authority of Liaoning Province, Shenyang 110003, P. R. China
Unusually severe weather is occurring more frequently due to global climate change. Heat waves, rainstorms, snowstorms, and droughts are becoming increasingly common all over the world, threatening human lives and property. Both temperature and precipitation are representative variables usually used to directly reflect and forecast the influences of climate change. In this study, daily data (from 1953 to 1995) and monthly data (from 1950 to 2010) of temperature and precipitation in five regions of the Amur River were examined. The significance of changes in temperature and precipitation was tested using the Mann-Kendall test method. The amplitudes were computed using the linear least-squares regression model, and the extreme temperature and precipitation were analyzed using hydrological statistical methods. The results show the following: the mean annual temperature increased significantly from 1950 to 2010 in the five regions, mainly due to the warming in spring and winter; the annual precipitation changed significantly from 1950 to 2010 only in the lower mainstream of the Amur River; the frequency of extremely low temperature events decreased from 1953 to 1995 in the mainstream of the Amur River; the frequency of high temperature events increased from 1953 to 1995 in the mainstream of the Amur River; and the frequency of extreme precipitation events did not change significantly from 1953 to 1995 in the mainstream of the Amur River. This study provides a valuable theoretical basis for settling disputes between China and Russia on sustainable development and utilization of water resources of the Amur River.
|Keywords： climate change temperature precipitation extreme weather events Mann-Kendall test method linear least-squares regression model Amur River|
|Received 2011-11-28 Revised 2012-05-28 Online: 2013-04-05|
This work was supported by the Innovative Project of Scientific Research for Postgraduates in Ordinary Universities in Jiangsu Province (Grant No. CX09B_161Z), the Cultivation Project for Excellent Doctoral Dissertations in Hohai University, the Fundamental Research Funds for the Central Universities (Grant No. 2010B18714), and Special Funds for Scientific Research on Public Causes of the Ministry of Water Resources of China (Grant No. 201001052).
|Corresponding Authors: Lan-lan YU|
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