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

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

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336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

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856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/8395/7865

100.1.#.a: Bravo, J. L.; Díaz, M. T.; Gay, Carlos; Fajardo, J.

524.#.#.a: Bravo, J. L., et al. (1996). A short term prediction model for surface ozone at southwest part of Mexico valley. Atmósfera; Vol. 9 No. 1, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4119700

245.1.0.a: A short term prediction model for surface ozone at southwest part of Mexico valley

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

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 1996

264.#.1.c: 2009-10-05

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, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

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041.#.7.h: eng

520.3.#.a: Mexico City is located in a valley in the tropical zone with high intensity of total solar radiation; it has poor wind circulation and a great deal of industrial and transportation activity, as a consequence of this it has a serious problem with air pollution. Ozone is representative of total atmospheric oxidants and of air pollution In this work a multiplicative model is proposed and adjusted to 3 years of daily observations at the Pedregal de San Angel Station located at the Southwest part of Mexico"s Valley. The importance of some common meteorological parameters in the explanation of daily variance is evaluated. 50% of the total variance is explained with total solar radiation and the previous day ozone concentration and 61% using all variables. This model could be useful in the prediction of ozone concentrations with help of a model to predict solar radiation and could be used in the establishment of criteria for environmental alerts.

773.1.#.t: Atmósfera; Vol. 9 No. 1 (1996)

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

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

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264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

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harvesting_date: 2023-06-20 16:00:00.0

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245.1.0.b: A short term prediction model for surface ozone at southwest part of México Valley

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Artículo

A short term prediction model for surface ozone at southwest part of Mexico valley

Bravo, J. L.; Díaz, M. T.; Gay, Carlos; Fajardo, J.

Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

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

Cita

Bravo, J. L., et al. (1996). A short term prediction model for surface ozone at southwest part of Mexico valley. Atmósfera; Vol. 9 No. 1, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4119700

Descripción del recurso

Autor(es)
Bravo, J. L.; Díaz, M. T.; Gay, Carlos; Fajardo, J.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
A short term prediction model for surface ozone at southwest part of Mexico valley
Fecha
2009-10-05
Resumen
Mexico City is located in a valley in the tropical zone with high intensity of total solar radiation; it has poor wind circulation and a great deal of industrial and transportation activity, as a consequence of this it has a serious problem with air pollution. Ozone is representative of total atmospheric oxidants and of air pollution In this work a multiplicative model is proposed and adjusted to 3 years of daily observations at the Pedregal de San Angel Station located at the Southwest part of Mexico"s Valley. The importance of some common meteorological parameters in the explanation of daily variance is evaluated. 50% of the total variance is explained with total solar radiation and the previous day ozone concentration and 61% using all variables. This model could be useful in the prediction of ozone concentrations with help of a model to predict solar radiation and could be used in the establishment of criteria for environmental alerts.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces