Document Type
Article
Publication Date
2015
Department
Department of Physics and Computer Science
Department
Mathematics and Biomedical Physics
Abstract
In this paper, we study the effects of the acceleration gravity on the sedimentation deposition probability, as well as the aerosol deposition rate on the surface of the Earth and Mars, but also aboard a spacecraft in orbit around Earth and Mars as well for particles with density ρp = 1300 kg/m3, diameters dp = 1, 3, 5 µm and residence times t = 0.0272, 0.2 s respectively. For particles of diameter 1 µm we find that, on the surface of Earth and Mars the deposition probabilities are higher at the poles when compared to the ones at the equator. Similarly, on the surface of the Earth we find that the deposition probabilities exhibit 0.5% and 0.4% higher percentage difference at the poles when compared to that of the equator, for the corresponding residence times. Moreover in orbit equatorial orbits result to higher deposition probabilities when compared to polar ones. For both residence times particles with the diameters considered above in circular and elliptical orbits around Mars, the deposition probabilities appear to be the same for all orbital inclinations. Sedimentation probability increases drastically with particle diameter and orbital eccentricity of the orbiting spacecraft. Finally, as an alternative framework for the study of interaction and the effect of gravity in biology, and in particular gravity and the respiratory system we introduce is the term information in a way Shannon has introduced it, considering the sedimentation probability as a random variable. This can be thought as a way in which gravity enters the cognitive processes of the system (processing of information) in the cybernetic sense.
Recommended Citation
Haranas I., Gkigkitzis I., Zouganelis G.D., Haranas M.K., Kirk S. (2015) Respiratory Particle Deposition Probability Due to Sedimentation with Variable Gravity and Electrostatic Forces. In: Vlamos P., Alexiou A. (eds) GeNeDis 2014. Advances in Experimental Medicine and Biology, vol 820. Springer, Cham
Included in
Computer Sciences Commons, Medical Sciences Commons, Physics Commons
Comments
This is a post-peer-review, pre-copyedit version of an article published in GeNeDis 2014. Advances in Experimental Medicine and Biology. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-09012-2_2