Scattering effects by sio2 nano-microparticle and free space attenuation modelling for diverse weather conditions

Adib K. Chowdhury, Md. Mamun Ibne Reaz

Research output: Contribution to journalArticle

Abstract

This article presents few empirical models to be used prediction of atmospheric attenuation due to airborne suspended particles such as sand, dust, fog and mist. The attenuation can be determined using the proposed models as standard methods considering various types of weather conditions including silica-dominant sandstorm, dust storm, fog or mist. As atmospheric attenuation heavily affects the transmission of data using visible light communication, we study the effect of air suspended particles to scattering amplitude and turbulence phase of the light beam. The proposed models are compared with existing attenuation models in the case of attenuation under foggy weather condition. The proposed models especially proposed Model 2 is seen to be best fit for prediction of atmospheric attenuation under dense to very light fog weather.

Original languageEnglish
Pages (from-to)3874-3893
Number of pages20
JournalJournal of Engineering Science and Technology
Volume13
Issue number11
Publication statusPublished - 1 Jan 2018

Fingerprint

Fog
Scattering
Dust
Particles (particulate matter)
Turbulence
Sand
Silica
Air

Keywords

  • Atmospheric attenuation
  • Dust and sandstorm
  • Fog attenuation
  • Visibility
  • Visible light communication

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Scattering effects by sio2 nano-microparticle and free space attenuation modelling for diverse weather conditions. / Chowdhury, Adib K.; Ibne Reaz, Md. Mamun.

In: Journal of Engineering Science and Technology, Vol. 13, No. 11, 01.01.2018, p. 3874-3893.

Research output: Contribution to journalArticle

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