Author:
Raillani Hajar,Hammadi Lamia,El Ballouti Abdessamad,Barbu Vlad Stefan,Souza De Cursi Eduardo
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering
Reference25 articles.
1. Abdo H, Flaus J-M, Masse F (2017) Uncertainty quantification in risk assessment - Representation, propagation and treatment approaches: application to atmospheric dispersion modeling. J Loss Prev Process Ind 49:551–571. https://doi.org/10.1016/j.jlp.2017.05.015
2. Amato F, Guignard F, Walch A et al (2022) Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-022-02219-w
3. Branicki M, Majda AJ (2013) Fundamental limitations of polynomial chaos for uncertainty quantification in systems with intermittent instabilities. Commun Math Sci 11:55–103. https://doi.org/10.4310/CMS.2013.v11.n1.a3
4. de Cursi ES, Sampaio R (2015) Uncertainty quantification and stochastic modeling with Matlab Numerical methods in engineering. ISTE Press, London
5. EM-DAT | The international disasters database, 2022 [WWW Document]. https://www.emdat.be/. Accessed 10.14.21
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