{"title":"On the application of the implicit “backward Euler” method for solving the diffusion equation","authors":"Ralph Lehmann","doi":"10.1016/0004-6981(89)90103-0","DOIUrl":null,"url":null,"abstract":"<div><p>The present paper deals with numerical effects occurring in the application of the implicit (“backward Euler”) method to solve the diffusion equation in the case of a point source (i.e. singular initial data). The numerical over-estimation of the concentration at the source level as well as conditions for an over- or under-estimation of the ground-level concentration are investigated. To improve the results, a specific filtering of the initial concentration distribution is suggested. All theoretical results are illustrated by numerical examples; for this, an approach of constructing analytical ‘reference’ solutions, for special profiles of the diffusion coefficient, is presented.</p></div>","PeriodicalId":100138,"journal":{"name":"Atmospheric Environment (1967)","volume":"23 1","pages":"Pages 115-121"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0004-6981(89)90103-0","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment (1967)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0004698189901030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The present paper deals with numerical effects occurring in the application of the implicit (“backward Euler”) method to solve the diffusion equation in the case of a point source (i.e. singular initial data). The numerical over-estimation of the concentration at the source level as well as conditions for an over- or under-estimation of the ground-level concentration are investigated. To improve the results, a specific filtering of the initial concentration distribution is suggested. All theoretical results are illustrated by numerical examples; for this, an approach of constructing analytical ‘reference’ solutions, for special profiles of the diffusion coefficient, is presented.