D. Brose, T. B. Pluth, Paul Grunwald, Ashley Jesernik
{"title":"废水中生化需氧量和含碳生化需氧量转化为总有机碳的统计方法评估","authors":"D. Brose, T. B. Pluth, Paul Grunwald, Ashley Jesernik","doi":"10.1111/wej.12834","DOIUrl":null,"url":null,"abstract":"The 5‐day biochemical oxygen demand (BOD5) and carbonaceous BOD5 (CBOD5) tests are widely used parameters for monitoring wastewater. Total organic carbon (TOC) has many advantages over these tests. Wastewater utilities have conducted studies to modify National Pollutant Discharge Elimination System (NPDES) permits to allow TOC analysis; however, statistical methods vary across studies. This study examined parametric and nonparametric correlation and parametric, nonparametric, and nonlinear regression methods for analysing BOD5, CBOD5, and TOC concentrations collected for 1 year from seven wastewater treatment plants from the Metropolitan Water Reclamation District of Greater Chicago. Spearman ρ correlation and Theil–Sen regression on log‐transformed concentrations were the most appropriate methods. Correlation coefficients were 0.83 or greater and regression residuals were as small as or smaller than the other two methods. This study demonstrated that nonparametric methods performed best for analysing non‐normal data in seeking to incorporate TOC analysis into NPDES reporting.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":"37 1","pages":"266 - 275"},"PeriodicalIF":1.7000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Assessment of statistical methods for converting biochemical oxygen demand and carbonaceous biochemical oxygen demand to total organic carbon in wastewater\",\"authors\":\"D. Brose, T. B. Pluth, Paul Grunwald, Ashley Jesernik\",\"doi\":\"10.1111/wej.12834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 5‐day biochemical oxygen demand (BOD5) and carbonaceous BOD5 (CBOD5) tests are widely used parameters for monitoring wastewater. Total organic carbon (TOC) has many advantages over these tests. Wastewater utilities have conducted studies to modify National Pollutant Discharge Elimination System (NPDES) permits to allow TOC analysis; however, statistical methods vary across studies. This study examined parametric and nonparametric correlation and parametric, nonparametric, and nonlinear regression methods for analysing BOD5, CBOD5, and TOC concentrations collected for 1 year from seven wastewater treatment plants from the Metropolitan Water Reclamation District of Greater Chicago. Spearman ρ correlation and Theil–Sen regression on log‐transformed concentrations were the most appropriate methods. Correlation coefficients were 0.83 or greater and regression residuals were as small as or smaller than the other two methods. This study demonstrated that nonparametric methods performed best for analysing non‐normal data in seeking to incorporate TOC analysis into NPDES reporting.\",\"PeriodicalId\":23753,\"journal\":{\"name\":\"Water and Environment Journal\",\"volume\":\"37 1\",\"pages\":\"266 - 275\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2022-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water and Environment Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1111/wej.12834\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water and Environment Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/wej.12834","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Assessment of statistical methods for converting biochemical oxygen demand and carbonaceous biochemical oxygen demand to total organic carbon in wastewater
The 5‐day biochemical oxygen demand (BOD5) and carbonaceous BOD5 (CBOD5) tests are widely used parameters for monitoring wastewater. Total organic carbon (TOC) has many advantages over these tests. Wastewater utilities have conducted studies to modify National Pollutant Discharge Elimination System (NPDES) permits to allow TOC analysis; however, statistical methods vary across studies. This study examined parametric and nonparametric correlation and parametric, nonparametric, and nonlinear regression methods for analysing BOD5, CBOD5, and TOC concentrations collected for 1 year from seven wastewater treatment plants from the Metropolitan Water Reclamation District of Greater Chicago. Spearman ρ correlation and Theil–Sen regression on log‐transformed concentrations were the most appropriate methods. Correlation coefficients were 0.83 or greater and regression residuals were as small as or smaller than the other two methods. This study demonstrated that nonparametric methods performed best for analysing non‐normal data in seeking to incorporate TOC analysis into NPDES reporting.
期刊介绍:
Water and Environment Journal is an internationally recognised peer reviewed Journal for the dissemination of innovations and solutions focussed on enhancing water management best practice. Water and Environment Journal is available to over 12,000 institutions with a further 7,000 copies physically distributed to the Chartered Institution of Water and Environmental Management (CIWEM) membership, comprised of environment sector professionals based across the value chain (utilities, consultancy, technology suppliers, regulators, government and NGOs). As such, the journal provides a conduit between academics and practitioners. We therefore particularly encourage contributions focussed at the interface between academia and industry, which deliver industrially impactful applied research underpinned by scientific evidence. We are keen to attract papers on a broad range of subjects including:
-Water and wastewater treatment for agricultural, municipal and industrial applications
-Sludge treatment including processing, storage and management
-Water recycling
-Urban and stormwater management
-Integrated water management strategies
-Water infrastructure and distribution
-Climate change mitigation including management of impacts on agriculture, urban areas and infrastructure