Water eutrophication assessment relied on various machine learning techniques: A case study in the Englishmen Lake (Northern Spain)

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	2019-08-21T07:34:09Z
dc.date.available	2019-08-21T07:34:09Z
dc.date.issued	2019
dc.identifier.citation	Ecological Modelling, 404, p. 91-102 (2019); doi:10.1016/j.ecolmodel.2019.03.009
dc.identifier.issn	0304-3800
dc.identifier.uri	http://hdl.handle.net/10651/52250
dc.description.sponsorship	Authors acknowledge the support by the Cantabrian Basin Authority (Spanish Ministry of Agriculture, Fishing, Food and Environment) that provided the pollutant data in the Englishmen Lake located in Autonomous Community of Cantabria (Northern Spain). Additionally, we thank Anthony Ashworth for his revision of the English in the manuscript.
dc.format.extent	p. 91-102
dc.language.iso	eng
dc.relation.ispartof	Ecological Modelling, 404
dc.rights	© 2019 Elsevier
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063763115&doi=10.1016%2fj.ecolmodel.2019.03.009&partnerID=40&md5=2cd1c33c53c392554380fa4b6343b9c2
dc.title	Water eutrophication assessment relied on various machine learning techniques: A case study in the Englishmen Lake (Northern Spain)
dc.type	journal article
dc.identifier.doi	10.1016/j.ecolmodel.2019.03.009
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.ecolmodel.2019.03.009

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