Suspended Sediment Discharge of the Susquehanna River to Northern Chesapeake Bay, 1966 to 1976

Estuaries ◽  
1978 ◽  
Vol 1 (2) ◽  
pp. 106 ◽  
Author(s):  
M. Grant Gross ◽  
M. Karweit ◽  
William B. Cronin ◽  
J. R. Schubel
Keyword(s):  
Chesapeake Bay ◽  
Suspended Sediment ◽  
Sediment Discharge ◽  
Susquehanna River

scholarly journals Wavelet analysis for modeling suspended sediment discharge

2004 ◽  
Vol 35 (2) ◽  
pp. 165-174 ◽  
Author(s):  
Hafzullah Aksoy ◽  
Tanju Akar ◽  
N. Erdem Ünal
Keyword(s):  
Suspended Sediment ◽  
Moving Average ◽  
Haar Wavelet ◽  
Finite Variance ◽  
Sediment Discharge ◽  
Average Process ◽  
Moving Average Process ◽  
Discharge Time ◽  
Data Set ◽  
Environmental Processes

Wavelets, functions with zero mean and finite variance, have recently been found to be appropriate tools in investigating geophysical, hydrological, meteorological, and environmental processes. In this study, a wavelet-based modeling technique is presented for suspended sediment discharge time series. The model generates synthetic series statistically similar to the observed data. In the model in which the Haar wavelet is used, the available data are decomposed into detail functions. By choosing randomly from among the detail functions, synthetic suspended sediment discharge series are composed. Results are compared with those obtained from a moving-average process fitted to the data set.

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