Selection of level and type of decomposition in predicting suspended sediment load using wavelet neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-022-00761-3.pdf
Reference33 articles.
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2. Banadkooki FB, Ehteram M, Ahmed AN et al (2020) Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm. Environ Sci Pollut Res 27(30):38094–38116. https://doi.org/10.1007/s11356-020-09876-w
3. Central Water Commission (2020) Compendium on sedimentation of reservoirs in India
4. Galy A, France Lanord C (2001) Higher erosion rates in the Himalaya: geochemical constraints on riverine fluxes. Geology 29(1):23–26. https://doi.org/10.1130/0091-7613(2001)029%3c0023:HERITH%3e2.0.CO;2
5. Ghasempour R, Roushangar K, Sihag P (2021) Suspended sediment load prediction in consecutive stations of river based on ensemble pre-post-processing kernel. Water Supply 21(7):3370–3386. https://doi.org/10.2166/ws.2021.094
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