High Performance Air Pollution Simulation on Shared Memory Systems

Author(s):  
María J. Martín ◽  
Marta Parada ◽  
Ramón Doallo
Author(s):  
Michael Bader ◽  
Hans-Joachim Bungartz ◽  
Martin Schreiber

2021 ◽  
Vol 2 (4) ◽  
pp. 1-20
Author(s):  
Ahmed Boubrima ◽  
Edward W. Knightly

In this article, we first investigate the quality of aerial air pollution measurements and characterize the main error sources of drone-mounted gas sensors. To that end, we build ASTRO+, an aerial-ground pollution monitoring platform, and use it to collect a comprehensive dataset of both aerial and reference air pollution measurements. We show that the dynamic airflow caused by drones affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, in the second part of this article, we leverage the effects of weather conditions on pollution measurements’ quality in order to design an unmanned aerial vehicle mission planning algorithm that adapts the trajectory of the drones while taking into account the quality of aerial measurements. We evaluate our mission planning approach based on a Volatile Organic Compound pollution dataset and show a high-performance improvement that is maintained even when pollution dynamics are high.


Author(s):  
Isaac Sánchez Barrera ◽  
Miquel Moretó ◽  
Eduard Ayguadé ◽  
Jesús Labarta ◽  
Mateo Valero ◽  
...  

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