Daily Flood Forecasts with Intelligent Data Analytic Models: Multivariate Empirical Mode Decomposition-Based Modeling Methods-Reference-Cited by-同舟云学术

Daily Flood Forecasts with Intelligent Data Analytic Models: Multivariate Empirical Mode Decomposition-Based Modeling Methods

Published:2020-07-30 Issue: Volume: Page:359-381
ISSN:2363-7633
Container-title:Springer Transactions in Civil and Environmental Engineering
language:
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Author:

Prasad Ramendra,Charan Dhrishna,Joseph Lionel,Nguyen-Huy Thong,Deo Ravinesh C.,Singh Sanjay

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5772-9_17

Reference104 articles.

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2. Adarsh S, John AP, Anagha RN, Abraham A, Afiya MP, Arathi KK, Azeem A (2018) Developing stage-discharge relationships using multivariate empirical mode decomposition-based hybrid modeling. Appl Water Sci 8:230. https://doi.org/10.1007/s13201-018-0874-8

3. Adarsh S, Sanah S, Murshida KK, Nooramol P (2017) Scale dependent prediction of reference evapotranspiration based on Multi-Variate Empirical mode decomposition. Ain Shams Eng J. https://doi.org/10.1016/j.asej.2016.10.014

4. Adekunle AI, Adegboye OA, Rahman KM (2019) Flooding in townsville, North Queensland, Australia, in February 2019 and its effects on mosquito-borne diseases. Int J Environ Res Public Health 16:1393. https://doi.org/10.3390/ijerph16081393

5. Adikari Y, Yoshitani J (2009) Global trends in water-related disasters: an insight for policymakers. United Nations Educational, Scientific and Cultural Organization, Paris

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