Developing ensemble models for estimating sediment loads for different times scales
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-023-03263-4.pdf
Reference29 articles.
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2. Adib, A., & Mahmoodi, A. (2017). Prediction of suspended sediment load using ANN GA conjunction model with Markov chain approach at flood conditions. KSCE Journal of Civil Engineering, 21(1), 447–457.
3. Asadi, H., Dastorani, M. T., Sidle, R. C., & Shahedi, K. (2021). Improving flow discharge-suspended sediment relations: Intelligent algorithms versus data separation. Water, 13(24), 3650.
4. Aytek, A., & Kişi, Ö. (2008). A genetic programming approach to suspended sediment modelling. Journal of Hydrology, 351(3–4), 288–298.
5. Delmas, M., Cerdan, O., Cheviron, B., & Mouchel, J. M. (2011). River basin sediment flux assessments. Hydrological Processes, 25(10), 1587–1596.
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