Yang Shuo, Zhiqiang Pan, X. Niu, Geng Lei, Zhijing Sun, Dongchang Ma, Douwen Wang
{"title":"Research on Reliability of Online Monitoring Results of Factory Discharge Pollutant SO<sub>2</sub> Based on Regression Analysis","authors":"Yang Shuo, Zhiqiang Pan, X. Niu, Geng Lei, Zhijing Sun, Dongchang Ma, Douwen Wang","doi":"10.11648/j.ijmea.20231103.12","DOIUrl":null,"url":null,"abstract":": Concerning the SO 2 pollution source monitoring, discussed and even debated all the time, is in the environmental field. Adhere to purpose of \"lucid waters and lush mountains are invaluable assets\", the immediate task is to establish a complete and correct QA/QC monitoring system. In China, there are a large number of online devices, for its superiority compared with the laboratory technology, that undertake tests. However, it also has to be admitted that, the online system, belonging to a non-standard, shall paid more attention to its effectiveness. In this paper, a Deming regression technique of variable error model, with unbiased correction (CSS 0 ), constant bias correction (CSS 1 ) and linear bias correction (CSS 2 ) step by step, is used to fit at levels between online and its standard system. F and t, as well as χ2 distribution test are subsequently followed by for the selected CSS. Finally, under the independent identical distribution (i","PeriodicalId":398842,"journal":{"name":"International Journal of Mechanical Engineering and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.ijmea.20231103.12","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
: Concerning the SO 2 pollution source monitoring, discussed and even debated all the time, is in the environmental field. Adhere to purpose of "lucid waters and lush mountains are invaluable assets", the immediate task is to establish a complete and correct QA/QC monitoring system. In China, there are a large number of online devices, for its superiority compared with the laboratory technology, that undertake tests. However, it also has to be admitted that, the online system, belonging to a non-standard, shall paid more attention to its effectiveness. In this paper, a Deming regression technique of variable error model, with unbiased correction (CSS 0 ), constant bias correction (CSS 1 ) and linear bias correction (CSS 2 ) step by step, is used to fit at levels between online and its standard system. F and t, as well as χ2 distribution test are subsequently followed by for the selected CSS. Finally, under the independent identical distribution (i