Effects of meteorological parameters on microwave propagation modeling during dust storm

Dust storms are complex meteorological events that significantly impact the propagation of microwave signals, presenting challenges to prediction models which often rely on theoretical scattering principles without considering various meteorological parameters. In this study, meteorological data-inc...

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Main Authors: Eltahir, E.I., Elsheikh, Elfatih A. A., Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Hassan Abdalla Hashim, Aisha, Hamdan, Mosab
Format: Proceeding Paper
Language:English
Published: IEEE 2024
Subjects:
Online Access:http://irep.iium.edu.my/114353/7/114353_Effects%20of%20meteorological%20parameters.pdf
http://irep.iium.edu.my/114353/
https://ieeexplore.ieee.org/xpl/conhome/10651580/proceeding
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spelling my.iium.irep.1143532024-09-10T04:30:35Z http://irep.iium.edu.my/114353/ Effects of meteorological parameters on microwave propagation modeling during dust storm Eltahir, E.I. Elsheikh, Elfatih A. A. Islam, Md. Rafiqul Habaebi, Mohamed Hadi Hassan Abdalla Hashim, Aisha Hamdan, Mosab TK5101 Telecommunication. Including telegraphy, radio, radar, television Dust storms are complex meteorological events that significantly impact the propagation of microwave signals, presenting challenges to prediction models which often rely on theoretical scattering principles without considering various meteorological parameters. In this study, meteorological data-including pressure, visibility, wind speed, temperature, and humidity-were monitored concurrently with signal levels at a 14.4 GHz microwave link operated in Khartoum, Sudan, over the course of a year. The variations in received signal levels were analyzed in relation to these parameters. Initial theoretical predictions, based on measured visibility and dust characteristics, underestimated the actual attenuation observed. Through detailed analysis, it was observed that humidity directly affects dust particle properties. By reassessing the models to incorporate the influence of humidity and other meteorological factors, the predictive accuracy of microwave signal attenuation during dust storms was significantly increased from 0.096 dB/km to 0.576 dB/km for Rayleigh approximation at the visibility limit of 83 m. This research highlights the importance of including comprehensive meteorological data in prediction models to enhance their accuracy in real-world conditions. IEEE 2024-09-04 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/114353/7/114353_Effects%20of%20meteorological%20parameters.pdf Eltahir, E.I. and Elsheikh, Elfatih A. A. and Islam, Md. Rafiqul and Habaebi, Mohamed Hadi and Hassan Abdalla Hashim, Aisha and Hamdan, Mosab (2024) Effects of meteorological parameters on microwave propagation modeling during dust storm. In: 2024 9th International Conference on Mechatronics Engineering (ICOM), 13-14 August 2024, IIUM, Gombsk. https://ieeexplore.ieee.org/xpl/conhome/10651580/proceeding doi:10.1109/ICOM61675.2024.10652381
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Eltahir, E.I.
Elsheikh, Elfatih A. A.
Islam, Md. Rafiqul
Habaebi, Mohamed Hadi
Hassan Abdalla Hashim, Aisha
Hamdan, Mosab
Effects of meteorological parameters on microwave propagation modeling during dust storm
description Dust storms are complex meteorological events that significantly impact the propagation of microwave signals, presenting challenges to prediction models which often rely on theoretical scattering principles without considering various meteorological parameters. In this study, meteorological data-including pressure, visibility, wind speed, temperature, and humidity-were monitored concurrently with signal levels at a 14.4 GHz microwave link operated in Khartoum, Sudan, over the course of a year. The variations in received signal levels were analyzed in relation to these parameters. Initial theoretical predictions, based on measured visibility and dust characteristics, underestimated the actual attenuation observed. Through detailed analysis, it was observed that humidity directly affects dust particle properties. By reassessing the models to incorporate the influence of humidity and other meteorological factors, the predictive accuracy of microwave signal attenuation during dust storms was significantly increased from 0.096 dB/km to 0.576 dB/km for Rayleigh approximation at the visibility limit of 83 m. This research highlights the importance of including comprehensive meteorological data in prediction models to enhance their accuracy in real-world conditions.
format Proceeding Paper
author Eltahir, E.I.
Elsheikh, Elfatih A. A.
Islam, Md. Rafiqul
Habaebi, Mohamed Hadi
Hassan Abdalla Hashim, Aisha
Hamdan, Mosab
author_facet Eltahir, E.I.
Elsheikh, Elfatih A. A.
Islam, Md. Rafiqul
Habaebi, Mohamed Hadi
Hassan Abdalla Hashim, Aisha
Hamdan, Mosab
author_sort Eltahir, E.I.
title Effects of meteorological parameters on microwave propagation modeling during dust storm
title_short Effects of meteorological parameters on microwave propagation modeling during dust storm
title_full Effects of meteorological parameters on microwave propagation modeling during dust storm
title_fullStr Effects of meteorological parameters on microwave propagation modeling during dust storm
title_full_unstemmed Effects of meteorological parameters on microwave propagation modeling during dust storm
title_sort effects of meteorological parameters on microwave propagation modeling during dust storm
publisher IEEE
publishDate 2024
url http://irep.iium.edu.my/114353/7/114353_Effects%20of%20meteorological%20parameters.pdf
http://irep.iium.edu.my/114353/
https://ieeexplore.ieee.org/xpl/conhome/10651580/proceeding
_version_ 1811679631093268480
score 13.2014675