陕西师范大学 旅游与环境学院,陕西,西安,710062
纸质出版:2016
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王文静, 延军平, 刘永林. 广东省极端降水事件的变化特征[J]. 水土保持通报, 2016,36(2):293-299.
WANG Wenjing, YAN Junping, LIU Yonglin. Variation Characteristics of Extreme Precipitation Events in Guangdong Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(2): 293-299.
王文静, 延军平, 刘永林. 广东省极端降水事件的变化特征[J]. 水土保持通报, 2016,36(2):293-299. DOI: 10.13961/j.cnki.stbctb.2016.02.055.
WANG Wenjing, YAN Junping, LIU Yonglin. Variation Characteristics of Extreme Precipitation Events in Guangdong Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(2): 293-299. DOI: 10.13961/j.cnki.stbctb.2016.02.055.
[目的] 分析广东省极端降水事件的分布特点并对其未来的变化趋势进行判断
旨在为该省的气候评估预测、生态环境建设及经济可持续发展方面的研究提供科学依据。[方法] 利用广东省1960-2013年的逐日降水数据
根据百分位方法定义了极端降水事件的阈值
通过采用Mann-Kendall法、小波分析、Hurst指数等方法
对该区的极端降水事件频次和强度的变化特征及其变化趋势进行研究。[结果] 广东省极端降水事件的发生频次、强度及极端降水量均呈上升的趋势
且极端降水量对总降水量的贡献率在50%以上。在空间上极端降水事件的发生频次呈现出北高南低的规律性
而强度正好相反。在未来的变化预测中
广东省大部分地区极端降水事件的频次和强度与过去变化趋势相一致
呈持续增加的趋势。[结论] 极端降水事件的频繁发生给广东省造成了严重的损失
应加强极端气候事件的预防工作
针对不同成因的极端降水事件应采取不同的应对措施。
[Objective] This paper elucidated the distribution characteristics of extreme precipitation events in Guangdong Province and made forecasts about the future trends in order to provide scientific basis for the study of climate assessment
ecological environment construction and sustainable economic development. [Methods] Based on daily precipitation data of 24 meteorological stations in Guangdong Province during 1960-2013
the extreme precipitation thresholds were determined for different stations by the centesimal value method
and then
frequency
intensity of extreme precipitation events were analyzed by using Mann-Kendall test method
wavelet analysis
the Hurst index to explore the trend of extreme precipitation events. [Results] The frequency
intensity and rainfalls of extreme precipitation events in Guangdong Province were increased. Extreme precipitation accounts for about 50 percent of the total precipitation. In space
the frequency of extreme precipitation events decreased from the north to the south
while the intensity showed opposite distribution. Extreme precipitation frequency and intensity were forested consistent with the ones of the past
showing continually increasing trend. [Conclusion] The frequent occurrence of extreme precipitation events caused serious losses to Guangdong Province. The province should strengthen the prevention of extreme events. Corresponding measures should be taken to deal with the extreme precipitation cases resulted from different causes.
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