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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/52250

Title: Water eutrophication assessment relied on various machine learning techniques: A case study in the Englishmen Lake (Northern Spain)
Author(s): García Nieto, Paulino José
García Gonzalo, María Esperanza
Alonso Fernández, J. R.
Díaz Muñiz, C.
Issue date: 2019
Publisher version: http://dx.doi.org/10.1016/j.ecolmodel.2019.03.009
Citation: Ecological Modelling, 404, p. 91-102 (2019); doi:10.1016/j.ecolmodel.2019.03.009
Format extent: p. 91-102
URI: http://hdl.handle.net/10651/52250
ISSN: 0304-3800
Sponsored: 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.
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