EGU21-12666
https://doi.org/10.5194/egusphere-egu21-12666
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Long-term temporal structure analysis of sediment fluxes in the Upper Changjiang (Yangtze River) using a wavelet transformation

Noelia Garijo1, Carmelo Juez2, Marwan Hassan3, and Estela Nadal-Romero2
Noelia Garijo et al.
  • 1Centro Universitario de la Defensa, Zaragoza, Spain (ngarijo@unizar.es)
  • 2Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Zaragoza, Spain
  • 3Department of Geography, The University of British Columbia, Vancouver, Canada

Temporal fluctuations of suspended sediment fluxes are highly related with the flow and sediment regime of river networks. Flow dynamics are mainly triggered by climatic forces. Conversely, sediment regime is majorly controlled by land cover/land use changes and by human infrastructures (e.g. dams). Resulting sediment fluxes thus show a non-linear and non-stationary nature.  The wavelet transformation technique emerges as a skilful tool capable of dealing with this type of data. It allows to distinguish within the full spectrum of time-scales, those which are dominant and thus govern the overall trend of the time-series. Furthermore, the temporal multiresolution wavelet technique allows to accurately denoise the discharge and SSC time-series, filtering out the high frequency intermittent physical processes which are superimposed on the main signal. In this research, we analyse a long-term dataset of discharge and sediment fluxes time-series for the Upper Changjiang (Yangtze River, China).

How to cite: Garijo, N., Juez, C., Hassan, M., and Nadal-Romero, E.: Long-term temporal structure analysis of sediment fluxes in the Upper Changjiang (Yangtze River) using a wavelet transformation, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12666, https://doi.org/10.5194/egusphere-egu21-12666, 2021.

Displays

Display file