{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T01:02:16Z","timestamp":1778547736714,"version":"3.51.4"},"reference-count":24,"publisher":"IWA Publishing","issue":"3","content-domain":{"domain":["iwaponline.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>One of the causes of public discomfort and complaint about odour in China is the nuisance odour, generated from the municipal sewage treatment plants. With the ability to be dispersed over a long distance, the odours can affect a large number of people. With the aim of identifying the compounds contributing the most to the overall odour emanating from municipal sewage treatment plant, and developing a prediction model for sensory odour concentration based on the compound odour activity value (OAV), odour samples from 2 days were collected at a municipal sewage treatment plant in Tianjin in the months of October and November 2013. Odour concentrations (OCs) were measured by the triangular odour bag method. Chemical components were quantified by gas chromatography\u2013mass spectrometry. According to the analysis of odour emission characteristics, it was found that hydrogen sulfide and methyl mercaptan were the key odorants responsible for the overall odour. To understand the interrelationship of these two odorants, 10 groups of a binary mixture of hydrogen sulfide and methyl mercaptan, representing different levels of odour concentration and intensity, were prepared in the laboratory. OCs were regressed against OAV using multivariate linear regression. A statistically significant positive correlation was found between single-compound OAV and odour concentration (by both SPSS and Minitab software). Furthermore, the models were validated by field monitoring data, which showed the odour prediction concentration had a good fit to the measured concentration by using Minitab software. Lastly, the Austal 2000 model system was used for the simulation of the odour emission dispersion into the surrounding area. This study provides an effective way to predict the odour emission condition in municipal sewage treatment plant.<\/jats:p>","DOI":"10.2166\/wst.2018.233","type":"journal-article","created":{"date-parts":[[2018,5,31]],"date-time":"2018-05-31T14:41:41Z","timestamp":1527777701000},"page":"762-769","update-policy":"https:\/\/doi.org\/10.2166\/iwapcrossmarkpolicypage","source":"Crossref","is-referenced-by-count":5,"title":["Characterization and prediction of odours from municipal sewage treatment plant"],"prefix":"10.2166","volume":"2017","author":[{"given":"Weifang","family":"Li","sequence":"first","affiliation":[{"name":"State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin, 300191, China"},{"name":"Tianjin Academy of Environmental Sciences, Tianjin, 300191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihua","family":"Yang","sequence":"first","affiliation":[{"name":"State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin, 300191, China"},{"name":"Tianjin Sinodour Environmental Technology Co., Ltd, Tianjin, 300191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayin","family":"Li","sequence":"first","affiliation":[{"name":"State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin, 300191, China"},{"name":"Tianjin Sinodour Environmental Technology Co., Ltd, Tianjin, 300191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"945","published-online":{"date-parts":[[2018,5,31]]},"reference":[{"key":"2020032812463757900_WST-EM1842C1","volume-title":"Odour Impact Assessment Handbook","year":"2012"},{"key":"2020032812463757900_WST-EM1842C2","author":"GB\/T14675-1993"},{"key":"2020032812463757900_WST-EM1842C3","unstructured":"Genthner\n            E. R.\n          \n          2014\n          \n            Identification of Rotundone as an Important Contributor to the Flavor of Oak Aged Spirits\n          . PhD thesis, University of Illinois. Urbana-Champaign, IL, USA"},{"issue":"3","key":"2020032812463757900_WST-EM1842C4","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1080\/19443994.2014.942383","article-title":"A novel tool for odor emission assessment in wastewater treatment plant","volume":"55","year":"2015","journal-title":"Desalination and Water Treatment"},{"issue":"9\u201310","key":"2020032812463757900_WST-EM1842C5","first-page":"1621","article-title":"Development of a method for the monitoring of odor-causing compounds in atmospheres surrounding wastewater treatment plants","volume":"36","year":"2014","journal-title":"Journal of Separation Science"},{"key":"2020032812463757900_WST-EM1842C6","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1016\/S0043-1354(00)00313-4","article-title":"Odour measurements for sewage treatment works","volume":"35","year":"2001","journal-title":"Water Research"},{"issue":"3","key":"2020032812463757900_WST-EM1842C7","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1007\/s00376-014-4077-4","article-title":"Characterization and source apportionment of volatile organic compounds in urban and suburban Tianjin, China","volume":"32","year":"2015","journal-title":"Advances in Atmospheric Sciences"},{"key":"2020032812463757900_WST-EM1842C8","first-page":"246","article-title":"A new method for measuring odors by triangle odor bag method (1)","volume-title":"Journal of Japan Society for Atmospheric Environment","year":"1978"},{"issue":"17","key":"2020032812463757900_WST-EM1842C9","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1080\/10643389.2017.1386952","article-title":"Odor emissions from domestic wastewater: a review","volume":"47","year":"2017","journal-title":"Critical Reviews in Environmental Science & Technology"},{"issue":"2","key":"2020032812463757900_WST-EM1842C10","first-page":"277","article-title":"A novel assessment of odor sources using instrumental analysis combined with resident monitoring records for an industrial area in Korea","volume":"74","year":"2013","journal-title":"Atmospheric Environment"},{"issue":"18","key":"2020032812463757900_WST-EM1842C11","doi-asserted-by":"crossref","first-page":"5129","DOI":"10.1016\/j.watres.2010.06.013","article-title":"Monitoring techniques for odour abatement assessment","volume":"44","year":"2010","journal-title":"Water Research"},{"key":"2020032812463757900_WST-EM1842C12","first-page":"85","article-title":"Odour impact assessment in industrial areas","volume":"30","year":"2012","journal-title":"Chemical Engineering Transactions"},{"key":"2020032812463757900_WST-EM1842C13","unstructured":"Nagata\n            Y.\n          \n          2003\n          Measurement of Odor Threshold by Triangle Odor Bag Method. 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