dor_id: 41438

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la Revista Mexicana de Física se someten a un estricto proceso de revisión llevado a cabo por árbitros anónimos, independientes y especializados en todo el mundo.

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)

561.#.#.u: http://www.fciencias.unam.mx/

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

336.#.#.b: info:eu-repo/semantics/article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://rmf.smf.mx/ojs/rmf/index

351.#.#.b: Revista Mexicana de Física

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

883.#.#.1: http://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://rmf.smf.mx/ojs/rmf/article/view/3570/3537

100.1.#.a: Rojas Avellaneda, D.

524.#.#.a: Rojas Avellaneda, D. (2007). Spatial interpolation techniques for stimating levels of pollutant concentrations in the atmosphere. Revista Mexicana de Física; Vol 53, No 6: 447-0. Recuperado de https://repositorio.unam.mx/contenidos/41438

245.1.0.a: Spatial interpolation techniques for stimating levels of pollutant concentrations in the atmosphere

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

561.1.#.a: Facultad de Ciencias, UNAM

264.#.0.c: 2007

264.#.1.c: 2007-01-01

653.#.#.a: Spatial interpolation; statistical modeling; pollutant concentrations

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-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, fecha de asignación de la licencia 2007-01-01, para un uso diferente consultar al responsable jurídico del repositorio por medio de rmf@ciencias.unam.mx

884.#.#.k: https://rmf.smf.mx/ojs/rmf/article/view/3570

001.#.#.#: oai:ojs.rmf.smf.mx:article/3570

041.#.7.h: eng

520.3.#.a: The inverse distance-weighting method (IDW) and kriging techniques are the most commonly used spatial interpolation techniques for estimating levels of pollutant concentrations in regions that contain a number of monitoring stations. The measured ozone pollution peaks in a period, in the atmosphere of the Mexico City region, are considered to be a sampled data set with a non-stationary mean. In order to study the effect of a non-stationary mean in the performance of interpolation methods IDW and kriging, the data set is transformed by removing the data trend of the sampled data set. The residuals obtained are considered to be a set of stationary random variables. This work initially considers the residuals obtained from measured ozone concentration data at 20 stations at 15:00 hours for a set of 21 days in December, 2001. This set of 420 data is considered to be the training set. To determine the parameter values that define the statistical weights for each of the IDW and kriging methods that are analyzed in this work, a cross-validation method is considered. This method assumes initial parameter values, which are fitted by minimizing the root mean squared error, RMSE, between the observed and estimated values in each of the stations. This process takes the training set in consideration for calculation. Once the parameter values that define the statistical weights for each IDW and kriging methods are obtained, by the process described above, these methods are used to interpolate its corresponding values at the stations at 15:00 hours for the days (3rd , 6th , 9th , \ldots 27th , 30th ) of December, 2001, which are considered to be the testing sets. The RMSE between interpolated and measured values at monitoring stations is also evaluated for these testing values and is shown as a percentage in Table I. These values and the defined generalization parameter G can be used to evaluate the performance and the ability of the models to predict and reproduce the peak of ozone concentrations when the residuals or the sampled data are considered. Scatter plots for testing data are presented for each interpolation method. An interpretation of the ozone pollution levels obtained at 15:00 hours on December 21stwas given using the wind field that prevailed in the region at 14:00 hours on the same day.

773.1.#.t: Revista Mexicana de Física; Vol 53, No 6 (2007): 447-0

773.1.#.o: https://rmf.smf.mx/ojs/rmf/index

046.#.#.j: 2020-11-25 00:00:00.000000

022.#.#.a: 2683-2224 (digital); 0035-001X (impresa)

310.#.#.a: Bimestral

264.#.1.b: Sociedad Mexicana de Física, A.C.

758.#.#.1: https://rmf.smf.mx/ojs/rmf/index

handle: 00d1dd2df91e7f2d

harvesting_date: 2020-09-23 00:00:00.0

856.#.0.q: application/pdf

last_modified: 2020-11-27 00:00:00

license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es

license_type: by-nc-nd

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