Reduction of simulation times by application of a kernel method in a high-resolution Lagrangian particle dispersion model-Reference-Cited by-同舟云学术

Reduction of simulation times by application of a kernel method in a high-resolution Lagrangian particle dispersion model

Published:2023-11-21 Issue: Volume: Page:
ISSN:1873-9318
Container-title:Air Quality, Atmosphere & Health
language:en
Short-container-title:Air Qual Atmos Health

Author:

Barbero Daniela^ORCID,Ribstein Bruno,Nibart Maxime,Tinarelli Gianni Luigi

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution

Link

https://link.springer.com/content/pdf/10.1007/s11869-023-01472-4.pdf

Reference22 articles.

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2. Barbero D, Tinarelli G, Silibello C, Nanni A, Gariazzo C, Stafoggia M, Viegi G (2021) A microscale hybrid modelling system to assess the air quality over a large portion of a large European city. Atmos Environ 264:118656. https://doi.org/10.1016/j.atmosenv.2021.118656

3. Barbero D (2019) Sviluppo e applicazione del metodo kernel in modelli lagrangiani a particelle a scala locale e a microscala. Master’s Degree Thesis, Politecnico di Milano. http://hdl.handle.net/10589/146531

4. Boughton BA, Delaurentis JM, Dunn WE (1987) A stochastic model of particle dispersion in the atmosphere. Bound-Layer Meteorol 40:147–163. https://doi.org/10.1007/BF00140073

5. Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorol Atmos Phys 87:167–196. https://doi.org/10.1007/s00703-003-0070-7