F. Yunus, J. Jaafar, Z. Mahmud, A. Shafie, R. Idris
{"title":"Role of environmental factors in modeling of air temperature element in peninsular Malaysia","authors":"F. Yunus, J. Jaafar, Z. Mahmud, A. Shafie, R. Idris","doi":"10.1109/ICSENGT.2012.6339287","DOIUrl":null,"url":null,"abstract":"Air temperature element variation is affected by environmental factors. Factors that influence air temperature element variation are called air temperature control. There are numbers environmental factors of air temperature element control and this study was investigated environmental factors of elevation, station's location, coastline and land use types. In this study multiple regression method was applied to explicate the contribution of environmental factors on air temperature element variation. Since air temperature data is in discrete points, therefore spatial interpolation analysis was used in producing continuous of this discrete data. In implementing spatial interpolation analysis, estimation error of T - T' data was used, where T is mean monthly air temperature and T' was estimated mean monthly mean air temperature from the developed multiple regression model. Analysis of cross validation was carried out to determine five measured of errors. Spatial interpolation analysis using main data of estimation error of T - T' produced reliable errors and consistent map for mean monthly mean air temperature element in Peninsular Malaysia.","PeriodicalId":325365,"journal":{"name":"2012 International Conference on System Engineering and Technology (ICSET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2012.6339287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Air temperature element variation is affected by environmental factors. Factors that influence air temperature element variation are called air temperature control. There are numbers environmental factors of air temperature element control and this study was investigated environmental factors of elevation, station's location, coastline and land use types. In this study multiple regression method was applied to explicate the contribution of environmental factors on air temperature element variation. Since air temperature data is in discrete points, therefore spatial interpolation analysis was used in producing continuous of this discrete data. In implementing spatial interpolation analysis, estimation error of T - T' data was used, where T is mean monthly air temperature and T' was estimated mean monthly mean air temperature from the developed multiple regression model. Analysis of cross validation was carried out to determine five measured of errors. Spatial interpolation analysis using main data of estimation error of T - T' produced reliable errors and consistent map for mean monthly mean air temperature element in Peninsular Malaysia.