Estimation and Correlation of Surface Water Vapour Density in Benin, Nigeria
M. I. Iliyasu, D. O. Akpootu, M. Momoh, Z. Abdullahi, A. Yusuf, N. Muhammad, S. A. Sidi, S. Aruna, M. Umar, M. Y. Sani
Asian Journal of Research and Reviews in Physics · pp. 43–56 · Published 5 Oct 2023
10.9734/ajr2p/2023/v7i4148Abstract
The present study investigated the monthly average daily mean temperature, relative humidity, surface pressure, cloud cover, and sunshine hours associated with monthly variations in surface water vapour density (SWVD) for the period extending from 1979 to 2016 for Benin (Latitude 6.320N, Longitude 5.100E). The daily variation of SWVD for the dry season (November to March) and rainy season (April to October) for the year 2014 was examined. Statistical indices of coefficient of determination (R2), mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE), Nash-Sutcliffe equation (NSE), and index of agreement (IA) were used to compare and evaluate the generated two variable SWVD-based models. The findings revealed that the level of SWVD varied throughout the investigation period on each day of the month. The SWVD is higher during the wet season than it is during the dry season, based to the monthly average daily values. The average SWVD was found to be at its highest point in the month of August during the rainy season and its lowest point in the month of December during the dry season (21.1448 gm-3). The greatest amount of SWVD was observed on 23rd May, 2014 with 27.5731gm-3 and the lowest on 26th December, 2014 with 9.6567 gm-3. Pressure and precipitable water vapour are related to each other using a multivariate correlation regression model that was constructed with R2 = 100%, MBE = -0.0204 gm-3, RMSE = 0.0206 gm-3, MPE = 0.1105 %, NSE = 99.9897% and IA = 99.9974% was better appropriate for SWVD estimation with the best fitting and therefore can be used for estimating SWVD in Benin.
Cited by 5
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Davidson Odafe Akpootu, Z. Aminu, A. Yusuf · FUDMA JOURNAL OF SCIENCES · 2024
Gazali Bello, Davidson Odafe Akpootu, Salihu Bolaji Sharafa · European Journal of Theoretical and Applied Sciences · 2024
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