文章摘要
涂新军,陈晓宏.基于秩统计量的枯水期径流时序变点的非参数识别[J].水利学报,2009,40(5):
基于秩统计量的枯水期径流时序变点的非参数识别
Nonparametric change point recognition for dry season runoff time series based on rank statistic method
  
DOI:
中文关键词: 变点  秩统计量  非参数识别  枯期径流量
英文关键词: time series  rank statistic method  runoff  dry season  change point  nonparametric recognition
基金项目:
作者单位
涂新军 中山大学 水资源与环境研究中心广东 广州 510275 
陈晓宏  
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中文摘要:
      本文提出了枯期径流时序变点的识别原理和基于秩统计量的非参数识别方法,该方法能很好地解决分布函数难以确定时的时序变点识别问题。以东江流域为例,对其干流的枯期径流量年系列(1957—2000年)进行了变点识别,结果显示1974年为东江流域枯期径流的显著性时序变点。通过对比分析变点前后的统计参数,1974年后的东江流域枯期径流量年均值明显增加,年际变化的离散程度增大。
英文摘要:
      The rank statistic method for recognizing the change points of time series is suggested. By using this method the recognition problem occurred to hydrological elements analysis due to the uncertainty of distribution function can be solved. The method is applied to analyze and locate the change point of the annual dry season runoff time series in Dongjiang River according to the hydrological data obtained from three gauge stations. It is found that the change points of runoff time series of these stations occurred to 1970's obviously. The annual dry season runoff increases significantly and fluctuates remarkably after 1974.
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