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
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Abstract

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.
尼日利亚贝宁地区地表水汽密度的估算及其相关性
本研究调查了贝宁(北纬6.320N,东经5.100E) 1979 - 2016年的月平均日平均温度、相对湿度、地面压力、云量和日照时数与地表水汽密度(SWVD)的月变化的关系。分析了2014年旱季(11月~ 3月)和雨季(4月~ 10月)SWVD的日变化规律。采用决定系数(R2)、平均偏倚误差(MBE)、均方根误差(RMSE)、平均百分比误差(MPE)、Nash-Sutcliffe方程(NSE)和一致性指数(IA)等统计指标对生成的两个基于swvd的变量模型进行比较和评价。结果显示,在整个调查期间,每个月的每一天,SWVD的水平都有所不同。按月平均日值计算,雨季的SWVD高于旱季。平均SWVD在雨季8月最高,在旱季12月最低(21.1448 gm-3)。2014年5月23日SWVD最大,为27.5731gm-3, 12月26日最小,为9.6567 gm-3。采用R2 = 100%、MBE = -0.0204 gm-3、RMSE = 0.0206 gm-3、MPE = 0.1105 %、NSE = 99.9897%、IA = 99.9974%的多元相关回归模型对压力和可降水量进行了相关性分析,拟合效果最佳,可用于估算贝宁地区的SWVD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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