Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere
Propagación de la incertidumbre de los datos meteorológicos y de emisión en el modelado de la dispersión de contaminantes en la atmósfera
Keywords:
Uncertainty, Variability, Monte Carlo, PM10 (en)Incertidumbre, Variabilidad, Monte Carlo. (es)
Variability is true heterogeneity existing within a population that cannot be reduced or eliminated by more or better determinations. Uncertainty represents ignorance about poorly characterized phenomena, but it can be reduced by collecting more data. The aim of this paper was to study the impact of the variability and uncertainty of the main variables, i.e., emissions and meteorology, of the PM10 concentration caused by a point source located at Malagueño (Córdoba, Argentina). To perform this analysis, a scheme was developed using the USEPA Industrial Source Complex model algorithms with a Monte Carlo methodology. Using a simulation with one hundred thousand iterations, the concentration distribution was obtained and showed that the uncertainty in wind direction had the greatest impact on the estimates.
La variabilidad es la heterogeneidad real dentro de una población, que no puede ser reducida ni eliminada por más o mejores determinaciones. La incertidumbre representa la ignorancia acerca de un fenómeno pobremente caracterizado, pero que puede reducirse mediante la recopilación de más datos. El objetivo de este trabajo es estimar la concentración de PM10 provocada por las emisiones de una fuente puntual ubicada en Malagueño (Córdoba, Argentina), considerando la variabilidad y la incertidumbre de la meteorología y las emisiones. Para abordar este análisis fue desarrollado un método que utiliza los algoritmos del modelo Industrial Source Complex de la USEPA junto a la metodología Monte Carlo. Con cien mil iteraciones se obtuvo la distribución de concentraciones, encontrándose que la incertidumbre en la dirección del viento es la de mayor incidencia sobre las estimaciones.
Downloads
References
Abdul-Wahab, S. A. (2006). Impact of fugitive dust emissions from cement plants on nearby communities. Ecological Modelling, 195(3-4), 338-348.
Baumann-Stanzer, K., & Stenzel, S. (2011). Uncertainties in modeling hazardous gas releases for emergency response. Meteorologische Zeitschrift, 20(1), 19-27.
Curtis, L., Rea, W., Smith-Willis, P., Fenyves, E., & Pan, Y. (2004). Adverse health effects of outdoor air pollutants. Environment international, 32(6), 815-830.
Dabberdt, W. F., & Miller, E. (2000). Uncertainty, ensembles and air quality dispersion modeling: Applications and challenges. Atmospheric Environment, 34(27), 4667-4673.
Department of the Environment, Water, Heritage & the Arts. National Pollutant Inventory: Emission estimation technique manual for cement manufacturing, 2008. Australian government. Retrieved from http://www.npi.gov.au/publications/emission-estimation-technique/pubs/cement.pdf
Donnelly, R. P., Lyons, T. J., & Flassak, T. (2007). Evaluation of results of a numerical simulation of dispersion in an idealized urban area for emergency response modelling. Atmospheric Environment, 43(29), 4416-4423.
Environmental Protection Agency (1995). User's Guide for the Industrial Source Complex (ISCST3) Dispersion Models. Description of model algorithms (Vol. 2). Retrieved from http://www.epa.gov/scram001/userg/regmod/isc3v2.pdf
Environmental Protection Agency (1995). Compilation of Air Pollutant Emission Factors, Volume 1: Stationary Point and Area Sources. Office of Air Quality Planning and Standards. Retrieved from http://www.epa.gov/ttnchie1/ap42
Environmental Protection Agency (2005). Revision to the Guideline on Air Quality Models: Adoption of a Preferred General Purpose (Flat and Complex Terrain) Dispersion Model and Other Revisions. Retrieved from http://www.epa.gov/scram001/guidance/guide/appw_05.pdf
Garcia-Diaz, J. C., & Gozalvez-Zafrilla, J. M. (2012). Uncertainty and sensitive analysis of environmental model for risk assessments: An industrial case study. Reliability Engineering and System Safety, 107, 16- 22.
Ghannam, K., & El-Fadel, M. (2013). Emissions characterization and regulatory compliance at an industrial complex: an integrated MM5/CALPUFF approach. Atmospheric Environment, 69, 156-169.
Ghenai, C., & Lin, C. (2006). Dispersion Modeling of PM10 Released during Decontamination Activities. Journal of Hazardous Materials, 132(1), 58-67.
Hanna, S. R., Paine, R., Heinold, D., Kintigh, E., & Baker, D. (2007). Uncertainties in Air Toxics Calculated by the Dispersion Models AERMOD and ISCST3 in the Houston Ship Channel Area. Journal of Applied Meteorology and Climatology, 46, 1372-1382.
Kiely, G. (1999). Environmental Engineering. International edition. McGraw-Hill Higher Education.
Krupa, S., O'Neill, S., Faulkner, B., & Shaw, B. (2009). Differences in the Chemical Composition of Particulate Matter (PM) by their Size and their Importance in Ambient Sampling of PM. Retrieved from ftp://ftp-fc.sc.egov.usda.gov/AIR/AAQTF/200809-201009/200909_DesMoines_IA/AAQTF_200909_AQ_StdsSubcommittee_whitepaper.pdf
Pérez Camaño, J. (2004). Sistema integrado para la modelización and el análisis de la calidad del aire en modo operacional (Unpublished doctoral dissertation). Universidad Politécnica de Madrid. Madrid, España.
Rao, K. S. (2005). Uncertainty Analysis in Atmospheric Dispersion Modelling. Pure and Applied Geophysics, 162, 1893-1917.
Schvarzer, J., & Petelski, N. C. (2005). La industria del cemento en la Argentina. Un balance de la producción, la capacidad instalada y los cambios empresarios, tecnológicos y de mercado durante las últimas dos décadas. Retrieved from http://www.jorgeschvarzer.com.ar/info/pdf_web/2005/documento-de-trabajo-n.-8-la-industria-del-cemento-cespa.pdf
Sincich, S., & Maggi, R. (2008). Prácticas culturales de recuperación documental: el archivo histórico de la Municipalidad de Malagueño. Municipio de Malagueño, Provincia de Córdoba. Retrieved from http://www.mundoarchivistico.com/?menu=articulos& id=116
World Health Organization. Particulate matter air pollution: how it harms health, 2005. Retrieved from http://www.chaseireland.org/Documents/WHOParticulateMatter.pdf
World Health Organization. Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. Summary of risk assessment, 2006. Retrieved from http://whqlibdoc.who.int/hq/2006/WHO_SDE_PHE_OEH_06.02_eng.pdf
Yang, C., Chang, C., Tsai, S., Chuang, H., Ho, C., Wu, T., & Sung, F. (2003). Preterm delivery among people living around Portland cement plants. Environmental Research, 92(1), 64-68.
Yegnan, A., Williamson, D. G., & Graettinger A. J. (2002). Uncertainty analysis in air dispersion modeling. Environmental Modelling & Software, 17(7), 639-649.
License
Copyright (c) 2014 Sebastian Diez, Enrique Barra, Flavia Crespo, Javier Britch

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:
1. The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;
2. The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;
3. The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;
4. The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.









