Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular analysis method. Given the increase of extreme eve...

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Detalles Bibliográficos
Autores principales: Luna, Antonio Madueño, Lineros, Miriam López, Gualda, Javier Estévez, Giráldez Cervera, Juan Vicente, Madueño Luna, José Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664424/
https://www.ncbi.nlm.nih.gov/pubmed/33171771
http://dx.doi.org/10.3390/s20216354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664424/
https://www.ncbi.nlm.nih.gov/pubmed/33171771
http://dx.doi.org/10.3390/s20216354

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