Estimation of the refractivity gradient from measured essential climate variables in Iyamho-Auchi, Edo State, South-South Region of Nigeria

Abstract

<p>Meteorological variables are crucial constituents in the estimation of refractivity disseminations and the uncharacteristic radio wave propagation situations of the troposphere as a result of their impact on radio wave communication relations over the atmosphere. In this study the measurement and assessment of air temperature, relative humidity and atmospheric pressure was carried out for a period of one year; 2018, so as to estimate the refractivity gradient over Iyamho-Auchi, Edo State, Nigeria using a self-implemented inexpensive portable meteorological monitoring device. The measurements of the essential climate variables were done at the administrative building of Edo University Iyamho by placing the meteorological monitoring device on a fixed position. The results show that the monthly estimated refractivity gradient values which would be useful in the prediction of the local radio propagation range from -20.00 N-units/km to -190.00 N-units/km with an average value of -60.67 N-units/km for the period under consideration. The findings also show that the months with limited relative humidity have greater refractivity gradient values compared to the ones with higher relative humidity. It was also observed from the results that the measured essential climate variables were having significant impacts on the estimated refractivity gradient during all the months in 2018, and these impacts were more noticeable in the months with higher relative humidity compared with the months that were having limited relative humidity. </p>

Comparison of 1800MHz Frequency Bands Path Loss Measurements with Conventional Models in Osun State, Nigeria

“…The overall result of this study indicates that both log-normal and Cost-231 models could be the most suitable models for path loss estimation in the studied region, as precisely reported by Ojo et al [1], while both the normal and the Weibull distribution functions were the best distribution functions for modelling the urban pathloss values in the studied locations. However, it must be noted that other factors such as climate variables and refractivity indices as reported by previous studies [18][19][20][21][22][23][24][25], could also affect the base-mobile propagation systems.…”

The influence of climate change on food innovation technology: review on topical developments and legal framework

“…[2,75], and this makes more of the solar energy to get stuck in the air, increasing the temperature of the earth (solar heating) and instigating what is known as global warming [108], Komar and Zeebe [55], which invariably result in changes of the climatic conditions of the earth; hereby contributing considerably to ecological threats and other uncomfortable functionalities in the ecosystem [75]. Nwankwo and Ukhurebor [74,76,110], such as the irregularities in the atmospheric radio waves propagations [109,112,113,115].…”

“…There are several reports on the effects of varying temperatures and precipitations, which are presently affecting agricultural processes, hereby causing a shortage of food (affecting FSSS) and other agricultural resources [52,111,112], as well as putting the entire agricultural sector at risk.…”

Wireless Sensor Networks: Applications and Challenges

“…The basis of any wireless systems is the radio waves/microwaves, and their application that ensues at the physical advanced level of network construction both for radio waves/microwaves, radio communications systems (RCSs) and other relevant EMWs [39,40,44,45]. These radio waves/microwaves, RCSs and other relevant EMWs as well as mereological variables are useful in the propagation of the refractivity indices in the atmosphere [23,24,[41][42][43].…”