Quito air quality modeling and prediction using meteorological and pollution data
This document describes the process of design, implementation and results of different functions of Machine Learning to use them objectively with the meteorological data of the municipality of Quito. Data that have been collected from 2004 to 2018 hourly by REMMAQ in nine stations around the distric...
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| Formato: | bachelorThesis |
| Lenguaje: | spa |
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2019
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| Acceso en línea: | http://dspace.udla.edu.ec/handle/33000/11335 |
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Agregar Etiqueta | _version_ | 1863471859323895808 |
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| author | Almeida Gachet, Martín Nicolás |
| author_facet | Almeida Gachet, Martín Nicolás |
| author_role | author |
| collection | Repositorio Universidad de las Américas |
| dc.contributor.none.fl_str_mv | González Rodríguez, Mario Salvador |
| dc.creator.none.fl_str_mv | Almeida Gachet, Martín Nicolás |
| dc.date.none.fl_str_mv | 2019-09-09T16:44:56Z 2019-09-09T16:44:56Z 2019 |
| dc.format.none.fl_str_mv | 41 p. application/pdf |
| dc.identifier.none.fl_str_mv | Almeida Gachet, M. N. (2019). Quito air quality modeling and prediction using meteorological and pollution data (Tesis de pregrado). Universidad de las Américas, Quito. UDLA-EC-TIS-2019-23 http://dspace.udla.edu.ec/handle/33000/11335 |
| dc.language.none.fl_str_mv | spa |
| dc.publisher.none.fl_str_mv | Quito: Universidad de las Américas, 2019 |
| dc.rights.none.fl_str_mv | Atribución-NoComercial-SinDerivadas 3.0 Ecuador http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Universidad de las Américas instname:Universidad de las Américas instacron:UDLA |
| dc.subject.none.fl_str_mv | APLICACIÓN INFORMÁTICA CALIDAD DEL AIRE CONTROL METEOROLÓGICO |
| dc.title.none.fl_str_mv | Quito air quality modeling and prediction using meteorological and pollution data |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bachelorThesis |
| description | This document describes the process of design, implementation and results of different functions of Machine Learning to use them objectively with the meteorological data of the municipality of Quito. Data that have been collected from 2004 to 2018 hourly by REMMAQ in nine stations around the district. It mainly focuses on linear regression algorithms, time series analysis and spatial interpolation analysis. During the definition of graphics to be implemented in the AirQ2 application, an analysis process was carried out on the contribution of each type of graph to obtain a better result when building prediction models on the air pollution in Quito. Each graph described here provides specific information and provides a guide to learn more about the different pollutants and stations of the data collected, as well as their contribution in the construction of prediction models. |
| eu_rights_str_mv | openAccess |
| format | bachelorThesis |
| id | UDLA_3ffa060d590bb2fae63f74fdf1b9804d |
| identifier_str_mv | Almeida Gachet, M. N. (2019). Quito air quality modeling and prediction using meteorological and pollution data (Tesis de pregrado). Universidad de las Américas, Quito. UDLA-EC-TIS-2019-23 |
| instacron_str | UDLA |
| institution | UDLA |
| instname_str | Universidad de las Américas |
| language | spa |
| network_acronym_str | UDLA |
| network_name_str | Repositorio Universidad de las Américas |
| oai_identifier_str | oai:dspace.udla.edu.ec:33000/11335 |
| publishDate | 2019 |
| publisher.none.fl_str_mv | Quito: Universidad de las Américas, 2019 |
| reponame_str | Repositorio Universidad de las Américas |
| repository.mail.fl_str_mv | . |
| repository.name.fl_str_mv | Repositorio Universidad de las Américas - Universidad de las Américas |
| repository_id_str | 2845 |
| rights_invalid_str_mv | Atribución-NoComercial-SinDerivadas 3.0 Ecuador http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ |
| spelling | Quito air quality modeling and prediction using meteorological and pollution dataAlmeida Gachet, Martín NicolásAPLICACIÓN INFORMÁTICACALIDAD DEL AIRECONTROL METEOROLÓGICOThis document describes the process of design, implementation and results of different functions of Machine Learning to use them objectively with the meteorological data of the municipality of Quito. Data that have been collected from 2004 to 2018 hourly by REMMAQ in nine stations around the district. It mainly focuses on linear regression algorithms, time series analysis and spatial interpolation analysis. During the definition of graphics to be implemented in the AirQ2 application, an analysis process was carried out on the contribution of each type of graph to obtain a better result when building prediction models on the air pollution in Quito. Each graph described here provides specific information and provides a guide to learn more about the different pollutants and stations of the data collected, as well as their contribution in the construction of prediction models.En este documento se describe el proceso de diseño, implementación y resultados de diferentes funciones de Machine Learning para utilizarlos objetivamente con los datos meteorológicos del Municipio de Quito. Datos que han sido recolectados desde el año 2004 hasta 2018 horariamente por la REMMAQ en nueve estaciones alrededor del distrito. Se enfoca principalmente en algoritmos de regresión lineal, análisis de series temporales y análisis de interpolación espacial. Durante la definición de gráficos a ser implementados en la aplicación AirQ2 se realizó un proceso de análisis sobre la contribución de cada tipo de gráfico para obtener un mejor resultado al construir modelos de predicción sobre la contaminación del aire de Quito. Cada gráfico aquí descrito aporta con información específica y brinda una guía para conocer más sobre los diferentes contaminantes y estaciones de los datos recolectados, así como su contribución en la construcción de modelos de predicción.Quito: Universidad de las Américas, 2019González Rodríguez, Mario Salvador2019-09-09T16:44:56Z2019-09-09T16:44:56Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis41 p.application/pdfAlmeida Gachet, M. N. (2019). Quito air quality modeling and prediction using meteorological and pollution data (Tesis de pregrado). Universidad de las Américas, Quito.UDLA-EC-TIS-2019-23http://dspace.udla.edu.ec/handle/33000/11335spaAtribución-NoComercial-SinDerivadas 3.0 Ecuadorhttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad de las Américasinstname:Universidad de las Américasinstacron:UDLA2021-02-10T19:46:38Zoai:dspace.udla.edu.ec:33000/11335Institucionalhttps://dspace.udla.edu.ec/Universidad privadahttps://www.udla.edu.ec/https://dspace.udla.edu.ec/aoi.Ecuador...opendoar:28452026-04-25T18:32:30.894463Repositorio Universidad de las Américas - Universidad de las Américastrue |
| spellingShingle | Quito air quality modeling and prediction using meteorological and pollution data Almeida Gachet, Martín Nicolás APLICACIÓN INFORMÁTICA CALIDAD DEL AIRE CONTROL METEOROLÓGICO |
| status_str | publishedVersion |
| title | Quito air quality modeling and prediction using meteorological and pollution data |
| title_full | Quito air quality modeling and prediction using meteorological and pollution data |
| title_fullStr | Quito air quality modeling and prediction using meteorological and pollution data |
| title_full_unstemmed | Quito air quality modeling and prediction using meteorological and pollution data |
| title_short | Quito air quality modeling and prediction using meteorological and pollution data |
| title_sort | Quito air quality modeling and prediction using meteorological and pollution data |
| topic | APLICACIÓN INFORMÁTICA CALIDAD DEL AIRE CONTROL METEOROLÓGICO |
| url | http://dspace.udla.edu.ec/handle/33000/11335 |