| dc.contributor.author | Iglesias, Celso | |
| dc.contributor.author | Martínez Torres, Javier | |
| dc.contributor.author | García Nieto, Paulino José | |
| dc.contributor.author | Alonso Fernández, José Ramón | |
| dc.contributor.author | Díaz Muñiz, C. | |
| dc.contributor.author | Piñeiro Di Blasi, J. I. | |
| dc.contributor.author | Taboada Castro, Javier | |
| dc.date.accessioned | 2014-04-04T08:15:05Z | |
| dc.date.available | 2014-04-04T08:15:05Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Water Resources Management, 28(2), p. 319-331 (2014); doi:10.1007/s11269-013-0487-9 | |
| dc.identifier.issn | 0920-4741 | |
| dc.identifier.issn | 1573-1650 | |
| dc.identifier.uri | http://hdl.handle.net/10651/25360 | |
| dc.description.sponsorship | Grant FPU 12/02283 from the Spanish Ministry of Education. | |
| dc.description.sponsorship | This study was possible thanks to the experimental dataset from the Automated Water Quality Information System (AWQIS) located in the basin of the Nalón river collected by the Cantabrian Basin Authority (Ministry of Agriculture, Food and Environment of the Government of Spain). At the same time, the authors wish to acknowledge the computational support provided by the Department of Mathematics atUniversity of Oviedo and ‘Centro Universitario de la Defensa’ at University of Zaragoza. Additionally, Carla Iglesias acknowledges her grant FPU 12/02283 from the Spanish Ministry of Education. | |
| dc.format.extent | p. 319-331 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Water Resources Management | |
| dc.rights | © Springer Science+Business Media Dordrecht 2013 | |
| dc.source | WOS:000329809700003 | |
| dc.title | Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain | |
| dc.type | journal article | |
| dc.identifier.local | 20141221 | |
| dc.identifier.doi | 10.1007/s11269-013-0487-9 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s11269-013-0487-9 | |
