scholarly journals Discussion of “Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers”

2011 ◽  
Vol 56 (7) ◽  
pp. 1325-1329 ◽  
Author(s):  
Robert J. Abrahart ◽  
Nick J. Mount
2009 ◽  
Vol 407 (17) ◽  
pp. 4916-4927 ◽  
Author(s):  
Taher Rajaee ◽  
Seyed Ahmad Mirbagheri ◽  
Mohammad Zounemat-Kermani ◽  
Vahid Nourani

2011 ◽  
Vol 356-360 ◽  
pp. 857-861
Author(s):  
Cun Yong Zhang

To investigate the characteristics of the suspended sediment concentration (SSC) temporal variation, one representative SSC profile and its relationship with current velocity profile in calm weather in the Lianyungang nearshore area were analyzed using wavelet analysis. Results indicate that the variations of the SSC had multi-time scale characteristics and the fluctuations varied in different time periods. The correlation of periodic oscillation in the upper layers between SSC and current velocity was much more significant than the corresponding lower layer correlation. For the scale more than 4 hours, the curves of SSC and current turned out to be out phase, while this phenomenon was not obvious for the scale less than 4 hours. Wavelet analysis provided further insights into the characteristics of the suspended sediment concentration.


Sign in / Sign up

Export Citation Format

Share Document