dor_id: 4119669

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la Revista Atmósfera se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT), Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex), Scientific Electronic Library Online (SciELO), SCOPUS, Web Of Science (WoS), SCImago Journal Rank (SJR).

561.#.#.u: https://www.atmosfera.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: http://www.revistas.unam.mx/front/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural, UNAM

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial, UNAM

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52993/46771

100.1.#.a: Hernández Paniagua, Iván Y.; López Farías, Rodrigo; Pichardo Corpus, Juan A.

524.#.#.a: Hernández Paniagua, Iván Y., et al. (2020). Application of network theory to study spatio-temporal evolution in the weekend effect in urban areas. Atmósfera; Early release, 2020. Recuperado de https://repositorio.unam.mx/contenidos/4119669

245.1.0.a: Application of network theory to study spatio-temporal evolution in the weekend effect in urban areas

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Centro de Ciencias de la Atmósfera, UNAM

264.#.0.c: 2020

264.#.1.c: 2021-02-22

653.#.#.a: Air quality, networks, generalised ozone weekend effect, prediction.

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, fecha de asignación de la licencia 2021-02-22, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52993

001.#.#.#: oai:ojs.phoenicis.tic.unam.mx:article/52993

041.#.7.h: eng

520.3.#.a: The occurrence of higher ground-level o3 concentrations on weekends rather than on weekdays, despite reduced anthropogenic activity in urban areas, is known as the o3 weekend effect (owe). here, we present an approach to analyse owe spatio-temporal variations in urban areas, integrated by the trend, prediction and network representation. We used data from ten monitoring sites geographically distributed within the México City Metropolitan area (MCMA) recorded during 1994-2018. The owe occurrence within the MCMA ranged typically between 40 and 60 % of the total weeks per year. The annual differences between weekday and weekend o3 peaks (magnitudes) showed were most significant on sundays. naive, linear and auto-regressive integrated moving average models were tested for predicting the owe annual occurrences and magnitudes. there was no single model that outperformed significantly for predicting owe at all sites. the proposed concept of generalised owe (gowe) implies that at least half of the sites under study exhibited simultaneous owe occurrence. gowe is represented as a network and its integration with prediction models is useful to determinate the owe spread over the MCMA in the following years. The gowe occurrence showed an increasing trend interpreted as the spread of voc-limited conditions over most of the MCMA. predicted data suggest that, with the current emission control policies, the gowe will continue occurring. The integrated methodology presented permits the acquisition of valuable insights into the design of potential air quality control strategies.

773.1.#.t: Atmósfera; Early release (2020)

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

046.#.#.j: 2021-10-20 00:00:00.000000

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

264.#.1.b: Centro de Ciencias de la Atmósfera, UNAM

758.#.#.1: https://www.revistascca.unam.mx/atm/index.php/atm/index

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file_creation_date: 2021-02-22 15:33:51.0

file_modification_date: 2021-02-22 15:33:51.0

file_creator: Reviewer

file_name: 2ec568aa137b2dbe558ecd750237844b0b4719d3309b19c3502b5e82f61c7542.pdf

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Artículo

Application of network theory to study spatio-temporal evolution in the weekend effect in urban areas

Hernández Paniagua, Iván Y.; López Farías, Rodrigo; Pichardo Corpus, Juan A.

Centro de Ciencias de la Atmósfera, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Centro de Ciencias de la Atmósfera, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Hernández Paniagua, Iván Y., et al. (2020). Application of network theory to study spatio-temporal evolution in the weekend effect in urban areas. Atmósfera; Early release, 2020. Recuperado de https://repositorio.unam.mx/contenidos/4119669

Descripción del recurso

Autor(es)
Hernández Paniagua, Iván Y.; López Farías, Rodrigo; Pichardo Corpus, Juan A.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Application of network theory to study spatio-temporal evolution in the weekend effect in urban areas
Fecha
2021-02-22
Resumen
The occurrence of higher ground-level o3 concentrations on weekends rather than on weekdays, despite reduced anthropogenic activity in urban areas, is known as the o3 weekend effect (owe). here, we present an approach to analyse owe spatio-temporal variations in urban areas, integrated by the trend, prediction and network representation. We used data from ten monitoring sites geographically distributed within the México City Metropolitan area (MCMA) recorded during 1994-2018. The owe occurrence within the MCMA ranged typically between 40 and 60 % of the total weeks per year. The annual differences between weekday and weekend o3 peaks (magnitudes) showed were most significant on sundays. naive, linear and auto-regressive integrated moving average models were tested for predicting the owe annual occurrences and magnitudes. there was no single model that outperformed significantly for predicting owe at all sites. the proposed concept of generalised owe (gowe) implies that at least half of the sites under study exhibited simultaneous owe occurrence. gowe is represented as a network and its integration with prediction models is useful to determinate the owe spread over the MCMA in the following years. The gowe occurrence showed an increasing trend interpreted as the spread of voc-limited conditions over most of the MCMA. predicted data suggest that, with the current emission control policies, the gowe will continue occurring. The integrated methodology presented permits the acquisition of valuable insights into the design of potential air quality control strategies.
Tema
Air quality, networks, generalised ozone weekend effect, prediction.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces