ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023
This study addresses the evaluation of PM2.5 pollution in Lima through the application of Functional ANOVA, with the objective of identifying significant differences in PM2.5 functional data measured at different monitoring stations in the city of Lima. Using collected air quality data, temporal tre...
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| Autores principales: | , |
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| Formato: | Monografía o trabajo académico |
| Lenguaje: | español |
| Publicado: |
Universidad Peruana Unión
2024
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881510729972973568 |
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| author | Pinto Lazares, Miriam Roxana Perez Guerra, Uri Harold |
| author2 | Ospina Galindez, Johann Alexis |
| author_browse | Ospina Galindez, Johann Alexis Perez Guerra, Uri Harold Pinto Lazares, Miriam Roxana |
| author_facet | Ospina Galindez, Johann Alexis Pinto Lazares, Miriam Roxana Perez Guerra, Uri Harold |
| author_sort | Pinto Lazares, Miriam Roxana |
| collection | Repositorio institucional |
| description | This study addresses the evaluation of PM2.5 pollution in Lima through the application of Functional ANOVA, with the objective of identifying significant differences in PM2.5 functional data measured at different monitoring stations in the city of Lima. Using collected air quality data, temporal trends and spatial variability of PM2.5 pollution were analyzed to highlight critical areas and suggest specific environmental management strategies. The results indicate significant differences in air quality in Lima, highlighting the importance of implementing mitigation policies tailored to local characteristics. This advanced statistical approach provides an effective tool for environmental assessment, allowing a better understanding of pollution problems and facilitating evidence-based decision making for the protection of public health and the environment. This work underscores the need for continuous monitoring and detailed studies to inform regulatory actions and environmental conservation initiatives aimed at improving air quality and health in urban areas. |
| escuela_str_mv | Escuela de Posgrado |
| format | info:eu-repo/semantics/monograph |
| id | oai:repositorio.upeu.edu.pe:20.500.12840/9615 |
| institution | UPeU |
| language | Spanish |
| linea_str_mv | Predicción estadística |
| ocde_area_str_mv | Ingeniería y tecnología |
| ocde_disciplina_str_mv | Ingeniería ambiental |
| ocde_str_mv | 2.07.00 |
| programa_nombre_str_mv | Segunda Especialidad en Estadística Aplicada para Investigación |
| programa_uri_str_mv | http://upeu.edu.pe/sys/programas/programa/seg-estadistica-aplicada-para-investigacion |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Universidad Peruana Unión |
| publisherStr | Universidad Peruana Unión |
| record_format | dspace |
| sede_str_mv | Lima |
| spelling | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 Pinto Lazares, Miriam Roxana Perez Guerra, Uri Harold Ospina Galindez, Johann Alexis Functional ANOVA PM2.5 Air quality Public health This study addresses the evaluation of PM2.5 pollution in Lima through the application of Functional ANOVA, with the objective of identifying significant differences in PM2.5 functional data measured at different monitoring stations in the city of Lima. Using collected air quality data, temporal trends and spatial variability of PM2.5 pollution were analyzed to highlight critical areas and suggest specific environmental management strategies. The results indicate significant differences in air quality in Lima, highlighting the importance of implementing mitigation policies tailored to local characteristics. This advanced statistical approach provides an effective tool for environmental assessment, allowing a better understanding of pollution problems and facilitating evidence-based decision making for the protection of public health and the environment. This work underscores the need for continuous monitoring and detailed studies to inform regulatory actions and environmental conservation initiatives aimed at improving air quality and health in urban areas. 2024-10-03 2025-12-23T19:16:30Z 2025-12-23T19:16:30Z info:eu-repo/semantics/monograph https://hdl.handle.net/20.500.12840/9615 spa info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Universidad Peruana Unión PE oai:repositorio.upeu.edu.pe:20.500.12840/9615 2026-11-10T17:45:09Z |
| spellingShingle | Functional ANOVA PM2.5 Air quality Public health Pinto Lazares, Miriam Roxana Perez Guerra, Uri Harold ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title_full | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title_fullStr | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title_full_unstemmed | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title_short | ANOVA Funcional para evaluar la contaminación de PM2.5 en diferentes estaciones de monitoreo de Lima en el periodo 2023 |
| title_sort | anova funcional para evaluar la contaminacion de pm2 5 en diferentes estaciones de monitoreo de lima en el periodo 2023 |
| topic | Functional ANOVA PM2.5 Air quality Public health |
| topic_facet | Functional ANOVA PM2.5 Air quality Public health |
| url | https://hdl.handle.net/20.500.12840/9615 |
| work_keys_str_mv | AT pintolazaresmiriamroxana anovafuncionalparaevaluarlacontaminaciondepm25endiferentesestacionesdemonitoreodelimaenelperiodo2023 AT perezguerrauriharold anovafuncionalparaevaluarlacontaminaciondepm25endiferentesestacionesdemonitoreodelimaenelperiodo2023 |