Development and application of ergodicity model with FRCM and FLAR for hydrological process

• 来源期刊: 中国科学E辑（英文版）
• 年，卷（期）: 2009,（2）
• 页码范围: 379-386
• 页数: 8页
• 语种: 英文
• DOI: 10.1007/s11431-008-0191-9

摘要

In this paper, a new ergodic property analysis model of hydrological process is proposed based on fuzzy-rough c-means clustering (FRCM), autocorrelogram, and fuzzy least absolute regression (FLAR). A precipitation time series (1951--2004) from Shanghai Hydrology Station is then analyzed with the model. The results show that the precipitation time series of April, May, June, and September has er-godic property. We conclude that in the long run, the precipitation of April, May, June, and September will not keep decreasing; it will converge to its mean value in some period.