DOI: 10.5194/hess-21-3827-2017
Scopus记录号: 2-s2.0-85026433453
论文题名: A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction
作者: Wright A ; , Walker J ; P ; , Robertson D ; E ; , Pauwels V ; R ; N
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 7 起始页码: 3827
结束页码: 3838
语种: 英语
Scopus关键词: Catchments
; Cosine transforms
; Discrete cosine transforms
; Discrete wavelet transforms
; Input output programs
; Parameter estimation
; Rain
; Uncertainty analysis
; Wavelet transforms
; Descriptive statistics
; Discrete Cosine Transform(DCT)
; Hydrologic modeling
; Model parameter estimation
; Model structural error
; Parameter estimation algorithm
; Reduction techniques
; Simulation performance
; Data reduction
; algorithm
; catchment
; comparative study
; data set
; hydrological modeling
; hydrology
; parameter estimation
; rainfall
; time series
; uncertainty analysis
; wavelet analysis
英文摘要: The treatment of input data uncertainty in hydrologic models is of crucial importance in the analysis, diagnosis and detection of model structural errors. Data reduction techniques decrease the dimensionality of input data, thus allowing modern parameter estimation algorithms to more efficiently estimate errors associated with input uncertainty and model structure. The discrete cosine transform (DCT) and discrete wavelet transform (DWT) are used to reduce the dimensionality of observed rainfall time series for the 438 catchments in the Model Parameter Estimation Experiment (MOPEX) data set. The rainfall time signals are then reconstructed and compared to the observed hyetographs using standard simulation performance summary metrics and descriptive statistics. The results convincingly demonstrate that the DWT is superior to the DCT in preserving and characterizing the observed rainfall data records. It is recommended that the DWT be used for model input data reduction in hydrology in preference over the DCT. © 2017 Author(s). This work is distributed under the Creative Commons Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79098
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil Engineering, Monash University, Clayton, VIC, Australia; CSIRO, Land and Water, Clayton, VIC, Australia
Recommended Citation:
Wright A,, Walker J,P,et al. A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction[J]. Hydrology and Earth System Sciences,2017-01-01,21(7)