Building a smart hydro-informatics system for flood forecasting and warning, a real case study in atlas region -Kingdom of Morocco-
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-021-08392-6.pdf
Reference40 articles.
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3. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csáki F (eds) 2nd International Symposium on Information Theory, Tsahkadsor, Armenia, USSR, September 2-8 1971, Budapest: Akadémiai Kiadó, pp. 267–281. Republished in: Kotz S, Johnson NL (eds) (1992), Breakthroughs in Statistics, I, Springer-Verlag, pp 610–624.
4. Chang F-J, Chen P-A, Lu Y-R, Huang E, Chang K-Y (2014) Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control. J Hydrol 517:836–846. https://doi.org/10.1016/j.jhydrol.2014.06.013
5. Choubin B, Khalighi SS, Malekian A (2016) Impacts of large-scale climate signals on seasonal rainfall in the Maharlu-Bakhtegan watershed. J Range Watershed Manag 69:51–63. https://doi.org/10.22059/jrwm.2016.61733
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