摘要
根据浙江省洪家站近30a(1981—2010)的日平均风速风向资料,利用一元线性回归、五点滑动平均、非参数Mann-Kendall(以下简称MK法)、小波分析等方法分析了该站年、季、月的风速风向年代变化特征,变化趋势以及风速突变现象,研究表明:(1)从风向日变化来看,夏季海陆分布对风向的影响明显,冬季风向主要受东亚季风影响;从月变化来看,9~1月最多风向为W-NNW风,4~8月为E-SSE风;(2)年平均风速随时间呈现周期振荡,四季平均风速也随时间呈周期性振荡,月平均风速呈现波动变化,最小(大)在5(7)月份;(3)MK法分析发现年平均风速发生六次显著突变,一定程度与全国平均风速年代际变化相吻合,其中1991年的突变增大持续时间最长;(4)在2a时间尺度上,周期震荡较显著,平均风速序列经历了少到多14个循环交替;在时域中存在多层次时间结构的局部化特征。
Based on the daily average wind speed and wind direction data of the Hong jia meteorological station in Zhejiang during recent 30a （1981-2010） , the decadal variation characteristics and trend of annual, seasonal and monthly wind speed and direction and mutation of wind speed were analyzed by one-variable linear regression, five-point slip average, Mann-Kendall and wavelet method. The results show that： （1） The daily change of wind direction is effected by land-sea distribution in summer, while during the winter, it is mainly influenced by the East Asian monsoon; Concerning the monthly changes in wind direction, the most frequent wind direction are W-NNW from September to follow year＇s January, while during the April to August it changes into E-SSE; （2） The annual mean wind speed show the periodic oscillation, the four seasons average wind speed has the same pattern, by contrast, the monthly average wind speed present fluctuating changes with maximum appearing in July and minimum in May. （3） MK analysis shows that there are six times mutation of annual mean wind speed （longest increasing appearing in 1991） , which has the same regular with the change of annual intergenerational national average wind speed. （4） The periodic oscillation was more significant in 2a time scales, the average wind speed sequence experienced 14 increasing cycles, the time change shows the local characteristics of multi-layer time structure.
作者
张春阳
彭力
Zhang Chunyang Peng Li(Quzhou Municipal Meteorological Service, Quzhou Zhejiang 324000 Tongchuan Municipal Meteorological Service, Tongchuan Shanxi 727031)
出处
《气象研究与应用》
2017年第2期72-76,I0003,共6页
Journal of Meteorological Research and Application
关键词
洪家站
风变率
突变检验
小波分析
Hongjia station
wind variability
mutation inspection
wavelet analysis
