Cargando…
A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed, Algeria
Missing data is a very frequent problem in climatology, it influences on the quality of results that will afford in hydrological studies, as well as water resources management. This paper proposes a new imputation algorithm, based on the optimization of some regression methods, which are hot deck, k...
Autores principales: | Aieb, Amir, Madani, Khodir, Scarpa, Marco, Bonaccorso, Brunella, Lefsih, Khalef |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384304/ https://www.ncbi.nlm.nih.gov/pubmed/30886916 http://dx.doi.org/10.1016/j.heliyon.2019.e01247 |
Ejemplares similares
-
A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff
por: Aieb, Amir, et al.
Publicado: (2022) -
Spatiotemporal characterization of the annual rainfall variability in the Isser Watershed (Algeria)
por: Benali Khodja, Malia, et al.
Publicado: (2022) -
A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks
por: Mimeche, Omar, et al.
Publicado: (2022) -
Synergistic effect of drought and rainfall events of different patterns on watershed systems
por: Qiu, Jiali, et al.
Publicado: (2021) -
Imputation of missing daily rainfall data; A comparison between artificial intelligence and statistical techniques
por: Wangwongchai, Angkool, et al.
Publicado: (2023)