Abstract
In the frame of the UDINEE Project the MicroSpray Lagrangian particle dispersion model is run to simulate puff emissions in four different test cases carried out in Oklahoma city during the JU2003 experiment. For each case, two different wind velocity inputs, both representative of the incoming flow, are considered. The difference in the output concentration field is discussed and the uncertainty depending on the input variation is assessed.
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References
Hernández-Ceballos, M. A, Hanna, S., Bianconi, R., Bellasio, R., Chang, J., Mazzola, T., Andronopoulos, S., Armand, P., Benbouta, N., Čarný, P., Ek, N., Fojcíková, E., Fry, R., Huggett, L., Kopka, P., Korycki, M., Lipták, L., Millington, S., Miner, S., Oldrini, O., Potempski, S., Tinarelli, G., Trini Castelli, S., Venetsanos, A., & Galmarini, S. (2019). UDINEE: evaluation of multiple models with data from the JU2003 puff releases in Oklahoma City. Part II: simulation of puff parameters. Boundary-Layer Meteorology, 71(3), 351–376.
Hernández-Ceballos, M.A, Hanna, S., Bianconi, R., Bellasio, R., Chang, J., Mazzola, T., Andronopoulos, S., Armand, P., Benbouta, N., Čarný, P., Ek, N., Fojcíková, E., Fry, R., Huggett, L., Kopka, P., Korycki, M., Lipták, L., Millington, S., Miner, S., Oldrini, O., Potempski, S., Tinarelli, G., Trini Castelli, S., Venetsanos, A., & Galmarini, S. (2019). UDINEE: evaluation of multiple models with data from the JU2003 puff releases in Oklahoma City. Part I: comparison of observed and predicted concentrations. Boundary-Layer Meteorology, 171(3), 323–349.
Tinarelli, G. L., & Trini Castelli, S. (2019). Assessment of the sensitivity to the input condition with a Lagrangian Particle Model in UDINEE Project. Boundary-Layer Meteorology, 171(3), 491–512.
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Tinarelli, G.L., Trini Castelli, S. (2021). Assessment of the Sensitivity to the Input Condition Using MicroSpray Lagrangian Particle Model for Puff Releases in UDINEE Project. In: Mensink, C., Matthias, V. (eds) Air Pollution Modeling and its Application XXVII. ITM 2019. Springer Proceedings in Complexity. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63760-9_40
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DOI: https://doi.org/10.1007/978-3-662-63760-9_40
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