摘要：This study evaluated the effect of atmospheric condition on radio network. Response Surface Methodology was used to develop a signal model in terms of atmospheric condition, analyse and optimize the effect of atmospheric temperature, pressure and relative humidity on signal of a WE-FM radio station based in Abuja. The result shows that atmospheric parameters such as temperature, pressure and relative humidity have inverse relationship with radio signal. The analysis of variance for the model formulated reveals that the atmospheric parameters have significant effect on signal strength. Also, the R – Squared value obtained implies that atmospheric condition have variability of 98.30% on the signal strength. The optimum signal strength of 54.0851 dBuV was obtained with the atmospheric condition of temperature 26.800C, pressure, 24.43inHg, and relative humidity of 78%. The model predicts signal strength with the accuracy of 84.71%. Hence, the approach is efficient for minimizing signal strength degradation in radio network.
