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首页> 外文期刊>Journal of Natural Sciences Research >The Impact of some Meteorological Variables on the Estimation of Global Solar Radiation in Kano, North Western, Nigeria
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The Impact of some Meteorological Variables on the Estimation of Global Solar Radiation in Kano, North Western, Nigeria

机译:尼日利亚西北部卡诺市一些气象变量对全球太阳辐射估算的影响

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摘要

This study examines the impact of measured monthly average daily global solar radiation, sunshine duration, wind speed, maximum and minimum temperatures, rainfall, cloud cover and relative humidity parameters on the estimation of global solar radiation during the period of thirty one years (1980 – 2010) for Kano, Nigeria (Latitude 12.03 0 N, Longitude 08.12 0 E and altitude 472.5 m above sea level) using different selected proposed empirical models. The accuracy of the proposed models are tested using statistical indicator; Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t – test, correlation coefficient (R) and coefficient of determination (R 2 ). The developed models are based on one variable correlation, two variable correlations, three variable correlations, four variable correlations, five variable correlations and six variable correlations, in each case one or two empirical models has been recommended based on their outstanding performance in line with the statistical test subjected to. The model (Eqn. 36) with the highest values of R and R 2 and lowest values of MBE, RMSE, MPE and t – test as compared with other developed model is considered the best performing model. It was observed that the newly recommended developed models (Eqns. 13, 17, 21, 26, 27, 31, 35 and 36) can be used for estimating daily values of global solar radiation with higher accuracy and has good adaptability to highly changing climatic conditions for Kano and regions of similar climatic information.
机译:这项研究研究了在三十一年(1980年–年)期间,每月平均每日全球太阳辐射量,日照时长,风速,最高和最低温度,降雨量,云量和相对湿度参数对估计全球太阳辐射量的影响。使用不同的建议经验模型,针对尼日利亚卡诺(2010年)(纬度12.03 0 N,经度08.12 0 E和海拔472.5 m)。建议模型的准确性使用统计指标进行测试;平均偏差误差(MBE),均方根误差(RMSE),平均百分比误差(MPE),t检验,相关系数(R)和确定系数(R 2)。所开发的模型基于一个变量相关性,两个变量相关性,三个变量相关性,四个变量相关性,五个变量相关性和六个变量相关性,在每种情况下都根据其出色的性能推荐了一个或两个经验模型。经统计学检验。与其他已开发模型相比,具有最高R和R 2值以及最低MBE,RMSE,MPE和t – test的模型(公式36)被认为是性能最好的模型。据观察,新推荐开发的模型(方程式13、17、21、26、27、31、35和36)可用于估算更高的全球日太阳辐射日值,并且对高度变化的气候具有良好的适应性卡诺和类似气候信息地区的条件。

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