K. Okonwu, J. Amakiri, M. Etukudo, S. Osim, A. J. Mofunanya
{"title":"根据尼日利亚Warri的日照时数估算全球太阳辐射","authors":"K. Okonwu, J. Amakiri, M. Etukudo, S. Osim, A. J. Mofunanya","doi":"10.4314/GJES.V9I1","DOIUrl":null,"url":null,"abstract":"Multiple linear regression models were developed to estimate the monthly daily sunshine hours using four parameters during a period of eleven years (1997 to 2007) for Warri, Nigeria (Latitude of 5o 34’ 21.0’’); the parameters include, Relative Humidity, Maximum and Minimum Temperature, Rainfall and Wind Speed. The result of the correlations showed that four Variable correlations with the highest value of correlation coefficient R gives the best result when considering the error term Root Mean Square Error (RMSE). The correlation is given as S = - 22.424 + 0.272RH + 1.388T – 9.791RF – 0.623W Where RH is the Relative Humidity, T is the difference of the Maximum and Minimum Temperature, RF is the average rainfall and W is the Wind Speed. The developed correlation can be used for estimating Sunshine hours for Warri and other locations with similar climatic conditions.","PeriodicalId":12569,"journal":{"name":"Global Journal of Environmental Sciences","volume":"34 1","pages":"51-56"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Estimation of global solar radiation from sunshine hours for Warri, Nigeria\",\"authors\":\"K. Okonwu, J. Amakiri, M. Etukudo, S. Osim, A. J. Mofunanya\",\"doi\":\"10.4314/GJES.V9I1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple linear regression models were developed to estimate the monthly daily sunshine hours using four parameters during a period of eleven years (1997 to 2007) for Warri, Nigeria (Latitude of 5o 34’ 21.0’’); the parameters include, Relative Humidity, Maximum and Minimum Temperature, Rainfall and Wind Speed. The result of the correlations showed that four Variable correlations with the highest value of correlation coefficient R gives the best result when considering the error term Root Mean Square Error (RMSE). The correlation is given as S = - 22.424 + 0.272RH + 1.388T – 9.791RF – 0.623W Where RH is the Relative Humidity, T is the difference of the Maximum and Minimum Temperature, RF is the average rainfall and W is the Wind Speed. The developed correlation can be used for estimating Sunshine hours for Warri and other locations with similar climatic conditions.\",\"PeriodicalId\":12569,\"journal\":{\"name\":\"Global Journal of Environmental Sciences\",\"volume\":\"34 1\",\"pages\":\"51-56\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Journal of Environmental Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/GJES.V9I1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Environmental Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/GJES.V9I1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of global solar radiation from sunshine hours for Warri, Nigeria
Multiple linear regression models were developed to estimate the monthly daily sunshine hours using four parameters during a period of eleven years (1997 to 2007) for Warri, Nigeria (Latitude of 5o 34’ 21.0’’); the parameters include, Relative Humidity, Maximum and Minimum Temperature, Rainfall and Wind Speed. The result of the correlations showed that four Variable correlations with the highest value of correlation coefficient R gives the best result when considering the error term Root Mean Square Error (RMSE). The correlation is given as S = - 22.424 + 0.272RH + 1.388T – 9.791RF – 0.623W Where RH is the Relative Humidity, T is the difference of the Maximum and Minimum Temperature, RF is the average rainfall and W is the Wind Speed. The developed correlation can be used for estimating Sunshine hours for Warri and other locations with similar climatic conditions.