Parallel Implementation and Scalability Results of a Local-Scale Air Quality Model: Application to Bamako Urban City. (26th March 2022)
- Record Type:
- Journal Article
- Title:
- Parallel Implementation and Scalability Results of a Local-Scale Air Quality Model: Application to Bamako Urban City. (26th March 2022)
- Main Title:
- Parallel Implementation and Scalability Results of a Local-Scale Air Quality Model: Application to Bamako Urban City
- Authors:
- Samaké, Abdoulaye
Mahamane, Amadou
Diallo, Ouaténi - Other Names:
- Simoes Fernando Academic Editor.
- Abstract:
- Abstract : We present a computational framework for the parallel implementation of a local-scale air quality model described by an advection-diffusion-reaction partial differential equation, the so-called equation of reactive dispersion. The temporal discretization of the model is carried out using the forward Euler scheme. The spatial discretization is achieved using the finite element method. The strategy used for the parallel implementation is based on the distributed-memory approach using the message-passing library MPI. The simulations are focused on two road traffic-related air pollutants, namely particulate matters PM2.5 and PM10. The efficiency and the scalability of the parallel implementation are illustrated by numerical experiments performed using up to 128 processor cores of a cluster computing system.
- Is Part Of:
- Journal of applied mathematics. Volume 2022(2022)
- Journal:
- Journal of applied mathematics
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-26
- Subjects:
- Mathematics -- Periodicals
519.05 - Journal URLs:
- https://www.hindawi.com/journals/jam/ ↗
- DOI:
- 10.1155/2022/9463537 ↗
- Languages:
- English
- ISSNs:
- 1110-757X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21453.xml