A Modeling Study of the Impact of a Power Plant on Ground-Level Ozone in Relation to its Location: Southwestern Spain as a Case Study |
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| Authors: | Nuria Castell Enrique Mantilla Ariel F Stein Rosa Salvador Millán Millán |
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| Institution: | 1. Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Parque Tecnológico. C/ Charles R. Darwin, 14, 46980, Paterna, Valencia, Spain
2. Earth Resources and Technology on assignment to NOAA/Air Resources Laboratory, 1315 East West Highway, Silver Spring, MD, 20910, USA
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| Abstract: | The impact of atmospheric industrial emissions on secondary pollutant formation depends on many factors; one of the most important being the environmental setting in which the industry is located. The environmental setting affects an industry’s impact on ozone levels through both the air mass dispersion (a function of topography and wind patterns) and the emissions of organic volatile compounds (VOC) and nitrogen oxides (NO x ) in the area. This model-based study shows how the sensitivity of surface ozone changes with the choice of source location. For the analysis, seven points distributed along the Tinto–Guadalquivir Basin (in the Southwestern Iberian Peninsula) were selected. This area is characterized by the close proximity of natural environments and crop fields to cities, roads, and industrial areas with high NO x emissions. Natural VOC emissions represent more than 60% of the total non-methane volatile organic compounds emitted in the study area. The results reveal that the largest increases in ozone levels are produced when the industry is located both far away from NO x emission sources and near to biogenic VOC emissions. Furthermore, the highest increases over the hourly and 8-hourly maximums, as well as the highest accumulated daily values, are found in areas characterized by high VOC/NO x emission ratios and NO x sensitivity. The study of the recurrent meteorological patterns along with the distribution of chemical indicators of the O3–NO x –VOC sensitivity allows the determination of the industry’s geographical impact on ozone levels. This information enables air quality managers to decide the future location of an industry minimizing its impact on smog levels. |
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