- Research Article
4
- 10.13189/ujes.2019.070103
Development of Model for Estimation of Radio Refractivity from Meteorological Parameters
- Jan 01, 2019
- Universal Journal of Engineering Science
- Enyenihi Henry Johnson + 2 more +2
In this paper development and validation of a simple linear model for estimating radio refractivity from meteorological parameters are presented. Twelve months radiosonde meteorological data for Cross River state which was obtained from Nigerian Meteorological Agency (NIMET) was used to determine the radio refractivity (N). The correlation between the refractivity and the atmospheric temperature (T), atmospheric pressure (P) and relative humidity (U) were examined for twelve months dataset. The correlation values showed that temperature (T) and the product of P, H and T had the highest correlation with respect to N in all the twelve months. Based on the correlation values among the parameters examined, a simple linear model was developed to estimate the radio refractivity. In all the twelve months dataset, the mathematical model gave worst case absolute percentage error of about 3.3%. Two sample meteorological dataset from published articles were also used to validate the model. The model gave a maximum absolute percentage error of 2.46 % for the first test meteorological dataset while it gave a maximum absolute percentage error of 1.25 % for the second test meteorological dataset. In all, the linear model presented in this paper will make it easier to compute the radio refractivity from available meteorological data. The results from the validation dataset showed that the model can also be applied to every other region other than the case study area where the data for the model development were obtained.
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