Abstract
An application of the CALPUFF modeling system in the near-field in an area of very-complex topography is presented. Different configurations for both the meteorological and the dispersion simulations were tested. The RAMS high-resolution (1 km) output as well as the data from a network of surface stations and the high-resolution data from a wind profiler radar (WPR) located in the area were available for assimilation and validation purposes. The 250 m resolution three-dimensional CALMET meteorological fields, after being validated against surface and upper air data, were fed into CALPUFF to simulate the potential impacts of the emissions of a coke factory over a nearby urban area. Benzene was used as a tracer of the emitted pollutants. The results of the dispersion simulations were compared against the available hourly benzene records. Our results showed that, no matter the selected synoptic forcing for RAMS (NCEP/ECMWF), the assimilation of meteorological data into CALMET is necessary for a correct representation of the wind flows in the area, and as a consequence, for a correct representation of the actual benzene impacts.
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References
Millán MM, Otamendi E, Alonso L, Ureta I (1987) Experimental characterization of atmospheric diffusion in complex terrain with land-sea interactions. J Air Pollut Control Assoc 37:807–811
Valdenebro V, Sáez de Cámara E, Gangoiti G, Alonso L, García JA, Ilardia JL, González N (2013) Evaluations of benzene impacts of a coke plant in a complex-topography urban area with the RAMS-CALMET-CALPUFF modelling system. In: Longhurst JWS, Brebbia CA (eds) Air Pollution 2013. 21st international conference on modelling, monitoring and management of air pollution, Siena, June 2013. WIT Transactions on Ecology and the Environment, vol 174. WIT Press, Southampton, pp 39–51
Acknowledgements
To the Basque Government for providing data. This work has been financed by the Consolider-Ingenio 2010 Program (GRACCIE project CSD2007-00067) of the Spanish Ministry of Education and Science, the Viceconsejería de Medio Ambiente of the Basque Government and the University of the Basque Country (Funding Agency: UPV/EHU, Grant Number: UFI11/47).
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Valdenebro, V. et al. (2014). The Use of a Mesoscale Modeling System Together with Surface and Upper Observational Data to Estimate Hourly Benzene Impacts in a Mountainous Coastal Area. In: Steyn, D., Mathur, R. (eds) Air Pollution Modeling and its Application XXIII. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-04379-1_88
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DOI: https://doi.org/10.1007/978-3-319-04379-1_88
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