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A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve
| dc.contributor.author | Boente López, Carlos | |
| dc.contributor.author | Albuquerque, M. T. D. | |
| dc.contributor.author | Gerassis, S. | |
| dc.contributor.author | Rodríguez-Valdés, E. | |
| dc.contributor.author | Rodríguez Gallego, José Luis | |
| dc.date.accessioned | 2019-08-21T07:33:04Z | |
| dc.date.available | 2019-08-21T07:33:04Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Chemosphere, 218, p. 767-777 (2019); doi:10.1016/j.chemosphere.2018.11.172 | |
| dc.identifier.issn | 0045-6535 | |
| dc.identifier.uri | http://hdl.handle.net/10651/51804 | |
| dc.description.sponsorship | Carlos Boente obtained a grant from the“Formación del Profesorado Universitario” program,financed by the “Ministerio de Educación, Cultura y Deporte de España”. The authors thank the Principality of Asturias for co-financing this research, the “Servicio Científico-Técnico de Ensayos Medioambientales” of the University of Oviedo, and also Alvaro Dapía, Nora Matanzas, Diego Baragaño and Nerea García for their support during the sampling works | |
| dc.format.extent | p. 767-777 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Chemosphere | |
| dc.rights | © 2018 Elsevier Ltd. All rights reserved | |
| 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-s2.0-85059307301&doi=10.1016%2fj.chemosphere.2018.11.172&partnerID=40&md5=d4fa760d06f9ca459bf02a51e359240f | |
| dc.title | A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.chemosphere.2018.11.172 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.chemosphere.2018.11.172 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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