dc.contributor.author | Fernández de Arróyabe Hernáez, Pablo | |
dc.contributor.author | Salcines Suárez, Ciro Luis | |
dc.contributor.author | Nita, Ion-Andrei | |
dc.contributor.author | Kassomenos, Pavlos | |
dc.contributor.author | Petrou, Elias | |
dc.contributor.author | Santurtún Zarrabeitia, Ana | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2020-03-02T19:11:40Z | |
dc.date.available | 2020-03-02T19:11:40Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0048-9697 | |
dc.identifier.issn | 1879-1026 | |
dc.identifier.other | CSO2016-75154-R | es_ES |
dc.identifier.uri | http://hdl.handle.net/10902/18315 | |
dc.description.abstract | The electrical component of the atmosphere is a key element to understand bio-effects of atmospheric processes. In this paper an attempt was made to find possible interactions between air masses arriving in Santander, Northern Spain, and electrical properties of nanoparticles measured in this zone. A methodological approach is proposed to characterize electrically the predominant weather types in the study area. An electrical low pressure impactor device (ELPI +) was used to measure atmospheric particles net charge and particle net charge distribution in real time in July 2018, among other parameters. Data from two specific channels [0.054?0.071 lm] and [2.5?3.0 lm] has been initially used. Atmospheric circulation was defined attending to two, subjective and objective, weather type classifications. Back trajectories of nanoparticles were also computed by the Hybrid Single-Particle Lagrangian Integrated Trajectory model. Results confirm that atmospheric nanoparticles charge varies according to their size. The highest mean absolute charge is associated with local circulation in Santander for both channels. The studied nanoparticles show a quicker reaction to weather conditions than microparticles. They also have a significant correlation with meteorological variables for 18 synoptic groups found, but humidity. Microparticles [2.5?3.0 lm] are negatively related with air humidity, mainly with S-SE circulation pattern. | es_ES |
dc.description.sponsorship | Authors would like to thank Dekati Ltd. for providing the instrument used in this study through the company SOLMA Environmental Solutions SLU. Authors would like to thank NOAA Air researches Laboratory (ARL) for the provision of FNL-HYSPLIT data, the Hysplit transport and dispersion Model, and, the READY web site used in this publication. Also authors acknowledge Cost Action 15211, Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems, for funding a STSM of Prof. P. Kassomenos at the Geobiomet research group at the University of Cantabria, Santander. Authors would like to thank to support from the Spanish National Research Agency – Project CSO2016-75154-R and the European Funds for Regional Development (FEDER). | es_ES |
dc.format.extent | 11 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | Science of The Total Environment, 2020, 704, 135320 | es_ES |
dc.subject.other | Back Trajectories | es_ES |
dc.subject.other | Electric Charge | es_ES |
dc.subject.other | Nanoparticles | es_ES |
dc.subject.other | Weather Type | es_ES |
dc.title | Electrical characterization of circulation weather types in northern spain based on atmospheric nanoparticles measurements: a pilot study | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1016/j.scitotenv.2019.135320 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1016/j.scitotenv.2019.135320 | |
dc.type.version | publishedVersion | es_ES |