Welcome to Journal of University of Chinese Academy of Sciences,Today is

›› 2010, Vol. 27 ›› Issue (1): 17-26.DOI: 10.7523/j.issn.2095-6134.2010.1.003

• Research Articles • Previous Articles     Next Articles

A three-stepwise robust statistical method for outlying rainfall observation

ZHAO Chao1,2, HONG Hua-Sheng2, ZHU Mu-Lan1   

  1. 1. Water Resources and Environmental Institute, Xiamen University of Technology, Xiamen 361005, China;
    2. State Key Laboratory of Marine Environmental Science, Environmental Science Research Center, Xiamen University, Xiamen 361005, China
  • Received:2008-11-06 Revised:2009-09-03 Online:2010-01-15

Abstract:

A three-stepwise robust statistical method combining the robust statistical theory with distribution features of rainfall for detection of outliers in telemetry system is described. The proposed robust statistical method adopts the Tukey fence insensitive to outliers as identification bounds and presents a three-stepwise pattern to adapt the distribution of rainfall data. Moreover, the modified method based on dividing precipitation data into several groups further improves detection efficiency. The results show that the new method is suitable to the hydrological need.

Key words: telemetry system, outlier, Tukey fence, distribution feature, three-stepwise robust detection

CLC Number: