首页> 外文期刊>Advances in Physics Theories and Applications >A Comparative Study of some Meteorological Parameters for Predicting Global Solar Radiation in Kano, Nigeria Based on Three Variable Correlations
【24h】

A Comparative Study of some Meteorological Parameters for Predicting Global Solar Radiation in Kano, Nigeria Based on Three Variable Correlations

机译:基于三个变量相关性的尼日利亚卡诺市一些预测全球太阳辐射的气象参数的比较研究

获取原文
           

摘要

In this present study, twenty empirical regression equations based on three variable correlations were developed and used to estimate the monthly average daily global solar radiation on a horizontal surface using measured monthly average daily global solar radiation, sunshine duration, wind speed, maximum and minimum temperatures, rainfall, cloud cover and relative humidity parameters 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). The comparative performance of the developed models has been evaluated on the basis of statistical parameters using Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t – test and Nash – Sutcliffe Equation (NSE). The values of the correlation coefficient (R) and coefficient of determination (R 2 ) were also obtained for each of the developed models. The MPE values for all the developed models lie within the acceptable range . The t – test produces perfect model performance at 95% and 99% confidence level for all the developed models. Three equations were recommended from this study, firstly, the model (Eqn. 20) with the highest value of R and R 2 , secondly, the model (Eqn. 24) with the least value of RMSE and the highest value of NSE and thirdly, the model (Eqn. 31) with the least values of MPE and t – test. These developed models can be used for estimating monthly average daily global solar radiation for Kano, North – Western, Nigeria and other locations with similar weather conditions where the solar radiation data is unavailable.
机译:在本研究中,开发了基于三个变量相关性的二十个经验回归方程,并使用测得的每月平均每日全球太阳辐射量,日照时长,风速,最高和最低温度来估计水平面上每月平均每日太阳辐射量,尼日利亚喀诺市三十一年(1980年至2010年)期间的降水,降雨,云量和相对湿度参数(纬度12.03 0 N,经度08.12 0 E和海拔472.5 m)。在统计参数的基础上,使用平均偏差误差(MBE),均方根误差(RMSE),均值百分比误差(MPE),t检验和纳什-萨特克利夫方程(NSE)对已开发模型的比较性能进行了评估。 。还为每个开发的模型获得了相关系数(R)和确定系数(R 2)的值。所有已开发模型的MPE值都在可接受的范围内。对于所有已开发的模型,t检验可在95%和99%的置信度下产生完美的模型性能。这项研究推荐了三个方程,首先是具有最大R和R 2值的模型(方程20),其次是具有最小均方根误差值和最大NSE值的模型(方程24),以及其次。 ,具有MPE和t – test值最小的模型(公式31)。这些开发的模型可用于估计卡诺,西北,西部,尼日利亚以及天气条件类似但无法获得太阳辐射数据的其他地区的每月平均每日全球太阳辐射。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号