10 GHz Investigation of Sudanese Dust Event Particles Characteristics

Eltahir, E.I.; Elsheikh, A. A. Elfatih; Babiker, A. Awad; Bilal, Khalid Hamid

doi:10.1109/iccceee46830.2019.9071029

Cited by 4 publications

(3 citation statements)

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“…Elsheikh et al [1] and Ansari [16] shows a slight variation in the permittivity for the frequency range 3-20 GHz accordingly the values of permittivity in Table 2 were applied to 14 GHz [1,16]. From the measured chemical composition and Looyenga equation for homogenous mixture calculation of complex permittivity is shown in Table 2 and the collected dust samples' complex permittivity is 4.271-j0.109, which is approximately agree with some published results [11,14,22,25].…”

Section: Measured Dielectric Characteristics Of Dust Samplesupporting

confidence: 81%

“…Generally, the model has been based on single particle scattering theory and does not include the multiple scattering effect or mutual interaction phenomena [1,6,20]. It also considered the shape of dust particle as spherical which is not in reality [22]. This model is based on theoretical assumptions only and no validation has been done through measurements.…”

Section: Mie Scattering Modelmentioning

confidence: 99%

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Effects of humidity on sand and dust storm attenuation predictions based on 14 GHz measurement

et al. 2021

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Several models were proposed to predict the attenuation of microwave signals due to sand and dust storms. Those models were developed based on theoretical assumptions like Rayleigh approximation, Mie equations or numerical methods. This paper presents a comparison between attenuation predicted by three different theoretical models with measured attenuation at 14 GHz. Dielectric constant of dust particles is one of the important parameter in prediction models. This constant is estimated from measured dust samples and is utilized for predictions. All models are found largely underestimating the measurement. Humidity is also monitored and has been observed higher during dust storm. Hence dielectric constants are re-estimated with relative humidity conditions using available conversion model. The prediction has a great impact of humidity and predicted attenuations are found much higher in humid than dry dust condition. However, all models underestimate the measurement even considering 100% of relative humidity. Hence it is recommended to investigate the models by considering humidity and other environmental factors that change during dust storm.

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Section: Measured Dielectric Characteristics Of Dust Samplesupporting

confidence: 81%

Section: Mie Scattering Modelmentioning

confidence: 99%

Effects of humidity on sand and dust storm attenuation predictions based on 14 GHz measurement

et al. 2021

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“…Analytical, numerical, and experimental methods are introduced to calculate the attenuation at different accuracy levels [5 -13]. However, analytical and mathematical models are based on certain theoretical assumptions; they do rely on measured dust particle characteristics in attenuation prediction [14][15]. A recent measurement campaign of atmospheric characteristics, their properties, and effects on several microwave links operated in Khartoum-Sudan was conducted [12].…”

mentioning

confidence: 99%

Effect of Dust Storm Intensity Variations on Total Path Attenuation Prediction

Elsheikh

Islam

Habaebi

et al. 2022

IEEE Trans. Antennas Propagat.

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This paper proposes a novel dust-storm total path attenuation prediction model. This model is formulated as a function of specific attenuation (dB/km) and the effective distance, which considers the non-uniform dust storm intensity variations throughout the link. The effective distance is obtained as a combination of the total link distance and the reduction factor. The reduction factor is developed based on the modeled 2-D structure of the observed dust storm characteristics. A measurement campaign of atmospheric characteristics, their properties, and effects on several microwave links operated in Khartoum-Sudan was conducted. In an earlier report, an empirical dust storm attenuation prediction model was proposed based on short-distance links by assuming uniform dust storm intensity variations. However, it was observed that the dust intensity varies with the distance, which affects total attenuation, and this issue is not addressed yet. One year measurement on the 6.2 km and 7.6 km long microwave links operating at 21.2 GHz and 14.5 GHz are used to validate the proposed dust storm total path attenuation model.

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