Rainfall-runoff relations for karstic springs. Part II: continuous wavelet and discrete orthogonal multiresolution

被引:329
作者
Labat, D
Ababou, R
Mangin, A
机构
[1] Inst Mecan Fluides Toulouse, F-31400 Toulouse, France
[2] Lab Souterrain Moulis, F-09200 St Girons, Moulis, France
关键词
karst hydrology; rainfall-runoff relationship; continuous wavelet transform; multiresolution wavelet analysis;
D O I
10.1016/S0022-1694(00)00322-X
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Karstic watersheds appear as highly non-linear and non-stationary systems. The main focus of this paper is a heuristic study of this non-stationarity using a time-scale localisation method called the wavelet transform. First, a mathematical overview of these analysis methods is given. The wavelet transform methods used here can be divided into two main parts: the continuous Morlet wavelet transform and the multiresolution orthogonal analysis. A statistical interpretation of the wavelet coefficients is also presented, introducing wavelet spectrum analyses (univariate and cross-wavelet analyses). These wavelet methods are applied to rainfall rates and runoffs measured at different sampling rates, from daily to half-hourly sampling rate. The karstic springs under study are located in the Pyrenees Mountains (Ariege, France) and in the Causses of Larzac (Aveyron, France). They are first applied to a pumping and a naturally intermittent runoff process, allowing the separation of different sub-processes. Wavelet analyses of rainfall rates and runoffs and wavelet rainfall-runoff cross-analyses also give meaningful information on the temporal variability of the rainfall-runoff relationship. In particular, this kind of analysis provides a simple interpretation of the distribution of energy between the different scales. Finally, it is demonstrated that wavelet transforms make possible a physical explanation of the temporal structure of the basin response to rainfall allowing discrimination between a rapid response and recharge due to the karst drainage system and a slower one corresponding to infiltration response. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:149 / 178
页数:30
相关论文
共 48 条
[1]   Image coding using wavelet transform [J].
Antonini, Marc ;
Barlaud, Michel ;
Mathieu, Pierre ;
Daubechies, Ingrid .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1992, 1 (02) :205-220
[2]   WAVELET ANALYSIS OF TURBULENCE REVEALS THE MULTIFRACTAL NATURE OF THE RICHARDSON CASCADE [J].
ARGOUL, F ;
ARNEODO, A ;
GRASSEAU, G ;
GAGNE, Y ;
HOPFINGER, EJ ;
FRISCH, U .
NATURE, 1989, 338 (6210) :51-53
[3]  
Beykin G., 1991, COMMUN PURE APPL MAT, V44, P141
[4]  
BRUNET Y, 1995, WAVELETS GEOPHYSICS, P129
[5]  
Daubechies I, 1992, CSBM NSF SERIES APPL, V61
[6]   MULTIFRACTAL CHARACTERIZATIONS OF NONSTATIONARITY AND INTERMITTENCY IN GEOPHYSICAL FIELDS - OBSERVED, RETRIEVED, OR SIMULATED [J].
DAVIS, A ;
MARSHAK, A ;
WISCOMBE, W ;
CAHALAN, R .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1994, 99 (D4) :8055-8072
[7]  
DONOHO DL, 1995, J ROY STAT SOC B MET, V57, P301
[8]   WAVELET TRANSFORMS AND THEIR APPLICATIONS TO TURBULENCE [J].
FARGE, M .
ANNUAL REVIEW OF FLUID MECHANICS, 1992, 24 :395-457
[9]  
FARGE M, 1998, CR HEBD ACAD SCI, V307, P1479
[10]  
FOUFOULAGEORGIO.E, 1995, WAVELETS GEOPHYSICS