Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7)

Luz Alejo; John Atkinson; Constanza Arriagada; Víctor Guzmán-Fierro; Marlene Roeckel

doi:10.1007/s11356-018-4048-x

Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7)

Luz Alejo, John Atkinson, Constanza Arriagada, Víctor Guzmán-Fierro, Marlene Roeckel

Producción científica: Contribución a una revista › Comentario/Debate

Resumen

The original publication of this paper contains a mistake. Unfortunately, an author was inadvertently missed out, Constanza Arriagada had participated in the operation of the anaerobic digesters cited in the work and now as a PhD student, she is involved in the production of other publication.

Idioma original	Inglés
Páginas (desde-hasta)	5234
Número de páginas	1
Publicación	Environmental Science and Pollution Research
Volumen	26
N.º	5
DOI	https://doi.org/10.1007/s11356-018-4048-x
Estado	Publicada - 20 feb. 2019
Publicado de forma externa	Sí

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Profundice en los temas de investigación de 'Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7)'. En conjunto forman una huella única.

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Alejo, L., Atkinson, J., Arriagada, C., Guzmán-Fierro, V., & Roeckel, M. (2019). Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7). Environmental Science and Pollution Research, 26(5), 5234. https://doi.org/10.1007/s11356-018-4048-x

Alejo, Luz ; Atkinson, John ; Arriagada, Constanza et al. / Correction to : Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7). En: Environmental Science and Pollution Research. 2019 ; Vol. 26, N.º 5. pp. 5234.

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abstract = "The original publication of this paper contains a mistake. Unfortunately, an author was inadvertently missed out, Constanza Arriagada had participated in the operation of the anaerobic digesters cited in the work and now as a PhD student, she is involved in the production of other publication.",

author = "Luz Alejo and John Atkinson and Constanza Arriagada and V{\'i}ctor Guzm{\'a}n-Fierro and Marlene Roeckel",

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Alejo, L, Atkinson, J, Arriagada, C, Guzmán-Fierro, V & Roeckel, M 2019, 'Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7)', Environmental Science and Pollution Research, vol. 26, n.º 5, pp. 5234. https://doi.org/10.1007/s11356-018-4048-x

Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7). / Alejo, Luz; Atkinson, John; Arriagada, Constanza et al.
En: Environmental Science and Pollution Research, Vol. 26, N.º 5, 20.02.2019, p. 5234.

Producción científica: Contribución a una revista › Comentario/Debate

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AU - Alejo, Luz

AU - Atkinson, John

AU - Arriagada, Constanza

AU - Guzmán-Fierro, Víctor

AU - Roeckel, Marlene

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Alejo L, Atkinson J, Arriagada C, Guzmán-Fierro V, Roeckel M. Correction to: Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (Environmental Science and Pollution Research, (2018), 25, (21149–21163), 10.1007/s11356-018-2224-7). Environmental Science and Pollution Research. 2019 feb. 20;26(5):5234. doi: 10.1007/s11356-018-4048-x