A Mathematical Approach to Selective Scavenging of the Different Classes of Typical Atmospheric Aerosols by Rainout and Health Impact
Explore this paper's citation graph
Summary
It is inferred that respirable dust is scavenged with relative ease by rainout, and over a long timescale, the results show that heavy rain is more efficient than drizzle in particle scavenging.
- Type
- dissertation
- Published
- 2006-03-01
- Cited by
- 5
- References
- 14
- OpenAlex
- https://openalex.org/W16548214
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6137793
Keywords
Computer network, Humanities, Computer science, Art
References
- Introduction to Aerosol Science
- Aerosol Science: Theory and Practice
- Microphysics of Clouds and Precipitation
- Atmospheric Pollution: History, Science and Regulation
- Parametric study of selective removal of atmospheric aerosol by below-cloud scavenging
- Atmospheric Chemistry and Physics: From Air Pollution to Climate Change
- A flux-based characteristics method to solve particle condensational growth
- Statistical aspects of the washout of polydisperse aerosols
- Particle Deposition in a Cast of Human Oral Airways
- Atmospheric Chemistry and Physics of Air Pollution
- Atmospheric Pollution: History, Science, and Regulation
- Documentation of the Threshold Limit Values and Biological Exposure Indices
Cited by
- The atmosphere as a colloid system
- Prediction methods for precipitation of uniform dust particles in a slightly turbulent wind
- Prediction methods for precipitation of uniform dust particles under laminar plane wind
- Scavenging of submicron aerosol particles in a suburban atmosphere: The raindrop size factor.
- Development of Wet Scavenging Process of Particles in Air Quality Modeling
Related papers
No related papers recorded.