A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression

García Nieto, Paulino José; García Gonzalo, María Esperanza; Alonso Fernández, J. R.; Díaz Muñiz, C.

doi:10.1007/s11269-020-02699-x

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A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Alonso Fernández, J. R.
dc.contributor.author	Díaz Muñiz, C.
dc.date.accessioned	2021-06-01T09:40:46Z
dc.date.available	2021-06-01T09:40:46Z
dc.date.issued	2020
dc.identifier.citation	Water Resources Management, 34(15), p. 4921-4941 (2020); doi:10.1007/s11269-020-02699-x
dc.identifier.issn	0920-4741
dc.identifier.uri	http://hdl.handle.net/10651/58608
dc.description.sponsorship	The authors gratefully recognize the computational help supplied by the Department of Mathematics at University of Oviedo as well as the monetary help of the Research Projects PGC2018-098459-B-I00 and FC-GRUPIN-IDI/2018/000221, both partial financing from European Founds (FEDER).
dc.format.extent	p. 4921-4941
dc.language.iso	eng
dc.relation.ispartof	Water Resources Management, 34
dc.rights	© Springer Nature B.V. 2020
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095591544&doi=10.1007%2fs11269-020-02699-x&partnerID=40&md5=2182b2a4b0a09bc8e99b44f396932a42
dc.title	A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression
dc.type	journal article
dc.identifier.doi	10.1007/s11269-020-02699-x
dc.relation.projectID	PGC2018-098459-B-I00
dc.relation.projectID	FC-GRUPIN-IDI/2018/000221
dc.relation.publisherversion	http://dx.doi.org/10.1007/s11269-020-02699-x
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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