Application of non-linear models to black carbon modelling at urban scale

Màster de Meteorologia, Facultat de Física, Universitat de Barcelona, Curs: 2020-2021, Tutores: Mar Viana, Yolanda Sola

Bibliographic Details
Author: Rovira Carpi, Jordi
Format: master thesis
Publication Date:2021
Country:España
Institution:Universidad de Barcelona
Repository:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/179147
Online Access:https://hdl.handle.net/2445/179147
Access Level:Open access
Keyword:Carboni negre
Models matemàtics
Treballs de fi de màster
Black carbon
Mathematical models
Master's theses
id ES_6a4aa7a5d880a0f56dfd25ebcb27867e
oai_identifier_str oai:diposit.ub.edu:2445/179147
network_acronym_str ES
network_name_str España
repository_id_str
spelling Application of non-linear models to black carbon modelling at urban scaleRovira Carpi, JordiCarboni negreModels matemàticsTreballs de fi de màsterBlack carbonMathematical modelsMaster's thesesMàster de Meteorologia, Facultat de Física, Universitat de Barcelona, Curs: 2020-2021, Tutores: Mar Viana, Yolanda SolaBlack carbon (BC) is a health-relevant component of atmospheric particulate matter (PM), present in urban environments. BC is emitted through the incomplete combustion of carbonaceous material and it is typically associated with vehicle exhaust. BC measurements are not always available at urban scale due to the operational cost and complexity of the instrumentation. Therefore, it is advantageous to develop a mathematical model (or BC proxy) to estimate BC concentrations in urban air. This work presents the development and testing of a BC proxy based on a frequentist framework, Support Vector Regression (SVR), using observations of BC, particle mass and number concentrations (N), gaseous pollutants and meteorological variables from a reference air quality monitoring station in Barcelona (Spain) over a 2-year period (2018-2019). Two months of additional data were available from another site in Barcelona, for model validation. The BC concentrations estimated by the adaptive proxy showed a high degree of correlation with the measured BC concentrations (R2 = 0.838–0.878) with a relatively low error (RMSE = 0.27–0.47 μg/m3). Model performance was dependent on seasonality and time of the day, due to the influence of new particle formation events on the input variables. When validated at a different station, performance indicators showed a decrease (R2 = 0.719; RMSE = 1.02 μg/m3) but still an adequate correlation with BC observations. Due to its flexibility and reliability, it is concluded that the model can act as a virtual sensor to complement on-site measurements, for epidemiological and air quality research.Viana Rodríguez, María del MarSola Salvatierra, Yolanda2021info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2445/179147Màster Oficial - Meteorologiareponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaIngléscc-by-nc-nd (c) Rovira, 2021http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1791472026-05-27T06:46:51Z
dc.title.none.fl_str_mv Application of non-linear models to black carbon modelling at urban scale
title Application of non-linear models to black carbon modelling at urban scale
spellingShingle Application of non-linear models to black carbon modelling at urban scale
Rovira Carpi, Jordi
Carboni negre
Models matemàtics
Treballs de fi de màster
Black carbon
Mathematical models
Master's theses
title_short Application of non-linear models to black carbon modelling at urban scale
title_full Application of non-linear models to black carbon modelling at urban scale
title_fullStr Application of non-linear models to black carbon modelling at urban scale
title_full_unstemmed Application of non-linear models to black carbon modelling at urban scale
title_sort Application of non-linear models to black carbon modelling at urban scale
dc.creator.none.fl_str_mv Rovira Carpi, Jordi
author Rovira Carpi, Jordi
author_facet Rovira Carpi, Jordi
author_role author
dc.contributor.none.fl_str_mv Viana Rodríguez, María del Mar
Sola Salvatierra, Yolanda
dc.subject.none.fl_str_mv Carboni negre
Models matemàtics
Treballs de fi de màster
Black carbon
Mathematical models
Master's theses
topic Carboni negre
Models matemàtics
Treballs de fi de màster
Black carbon
Mathematical models
Master's theses
description Màster de Meteorologia, Facultat de Física, Universitat de Barcelona, Curs: 2020-2021, Tutores: Mar Viana, Yolanda Sola
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/179147
url https://hdl.handle.net/2445/179147
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Rovira, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Rovira, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Màster Oficial - Meteorologia
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410101115224065
score 15,300719

Similar Items