DOI: 10.2166/wcc.2015.043
论文题名: Wavelet-based trend analysis of hydrological processes at different timescales
作者: Nourani V. ; Nezamdoost N. ; Samadi M. ; Vousoughi F.D.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2015
卷: 6, 期: 3 起始页码: 414
结束页码: 435
语种: 英语
英文关键词: Discrete wavelet transformation
; Mann-Kendall test
; Precipitation
; Stream flow
; Tampa Bay
; Trend analysis
英文摘要: This study analyzes involved trends in stream flow and precipitation data at monthly, seasonal and annual timescales observed at six precipitation and four stream flow stations of Tampa Bay using non-parametric Mann-Kendall (MK) and discrete wavelet transform (DWT) methods. The MK test and sequential MK analysis were applied to different combinations of DWT after removing the effect of significant lag-1 serial correlation to calculate components responsible for trend of the time series. Also, the sequential MK test was used to find the starting point of changes in annual time series. The results showed that negative trend is prevalent in the case study; generally, short-term periods were important in the involved trend at original time series. Thus, the precipitation data at three scales showed short-term periods of 2 months, 6 months and 2 years in monthly, seasonal and annual scales, respectively. In the greatest stream-flow time series at three timescales, wavelet-based detail at level 2 plus the approximations time series was conceded as the dominant periodic component. Finally, the results of Sen's trend analysis, applied to the original annual time series, also confirmed the results of the proposed wavelet-based MK test in most cases. © IWA Publishing 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67641
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Water Resources Engineering, University of Tabriz, Tabriz, Iran
Recommended Citation:
Nourani V.,Nezamdoost N.,Samadi M.,et al. Wavelet-based trend analysis of hydrological processes at different timescales[J]. Journal of Water and Climate Change,2015-01-01,6(3)