Vote for your favorite mineral in #MinCup25! - Dioptase vs. Wavellite
It's a green, green world for kiwi #wavellite vs desert emerald #dioptase.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Tomperi, Jani, Koivuranta, Elisa, Kuokkanen, Anna, Leiviskä, Kauko (2017) Modelling effluent quality based on a real-time optical monitoring of the wastewater treatment process. Environmental Technology, 38 (1). 1-13 doi:10.1080/09593330.2016.1181674

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleModelling effluent quality based on a real-time optical monitoring of the wastewater treatment process
JournalEnvironmental Technology
AuthorsTomperi, JaniAuthor
Koivuranta, ElisaAuthor
Kuokkanen, AnnaAuthor
Leiviskä, KaukoAuthor
Year2017 (January 2)Volume38
Issue1
PublisherInforma UK Limited
DOIdoi:10.1080/09593330.2016.1181674Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9672078Long-form Identifiermindat:1:5:9672078:5
GUID0
Full ReferenceTomperi, Jani, Koivuranta, Elisa, Kuokkanen, Anna, Leiviskä, Kauko (2017) Modelling effluent quality based on a real-time optical monitoring of the wastewater treatment process. Environmental Technology, 38 (1). 1-13 doi:10.1080/09593330.2016.1181674
Plain TextTomperi, Jani, Koivuranta, Elisa, Kuokkanen, Anna, Leiviskä, Kauko (2017) Modelling effluent quality based on a real-time optical monitoring of the wastewater treatment process. Environmental Technology, 38 (1). 1-13 doi:10.1080/09593330.2016.1181674
In(2017, January) Environmental Technology Vol. 38 (1) Informa UK Limited

See Also

These are possibly similar items as determined by title/reference text matching only.

Tomperi, Jani, Koivuranta, Elisa, Kuokkanen, Anna, Juuso, Esko, Leiviskä, Kauko (2016) Real-time optical monitoring of the wastewater treatment process. Environmental Technology, 37 (3). 344-351 doi:10.1080/09593330.2015.1069898
Tomperi, Jani, Juuso, Esko, Kuokkanen, Anna, Leiviskä, Kauko (2018) Monitoring a municipal wastewater treatment process using a trend analysis. Environmental Technology, 39 (24). 3193-3202 doi:10.1080/09593330.2017.1375026
Tomperi, Jani, Leiviskä, Kauko (2018) Comparison of modelling accuracy with and without exploiting automated optical monitoring information in predicting the treated wastewater quality. Environmental Technology, 39 (11). 1442-1449 doi:10.1080/09593330.2017.1331267
Pörhö, Henri, Tomperi, Jani, Sorsa, Aki, Juuso, Esko, Ruuska, Jari, Ruusunen, Mika (2023) Data-Based Modelling of Chemical Oxygen Demand for Industrial Wastewater Treatment. Applied Sciences, 13 (13) 7848 doi:10.3390/app13137848
Koivuranta, Elisa, Suopajärvi, Terhi, Hattuniemi, Joni, Stoor, Tuomas, Illikainen, Mirja (2017) The effect of seasonal variations on floc morphology in the activated sludge process. Environmental Technology, 38 (24). 3209-3215 doi:10.1080/09593330.2017.1291760
Keskitalo, Jukka, la Cour Jansen, Jes, Leiviskä, Kauko (2010) Calibration and validation of a modified ASM1 using long‐term simulation of a full‐scale pulp mill wastewater treatment plant. Environmental Technology, 31 (5). 555-566 doi:10.1080/09593330903563802
Koivuranta, E., Keskitalo, J., Stoor, T., Hattuniemi, J., Sarén, M., Niinimäki, J. (2014) A comparison between floc morphology and the effluent clarity at a full-scale activated sludge plant using optical monitoring. Environmental Technology, 35 (13). 1605-1610 doi:10.1080/09593330.2013.875065
Tomperi, Jani, Isokangas, Ari, Tuuttila, Tero, Paavola, Marko (2022) Functionality of turbidity measurement under changing water quality and environmental conditions. Environmental Technology, 43 (7) 1093-1101 doi:10.1080/09593330.2020.1815860
Zaloum, R., Lamarche, A. (1992) Practical application of statistics for the monitoring and interpretation of waste treatment process performance. Environmental Technology, 13 (1). 1-9 doi:10.1080/09593339209385123
Almomani, Fares A., Delatolla, Robert, Örmeci, Banu (2014) Field study of moving bed biofilm reactor technology for post-treatment of wastewater lagoon effluent at 1°C. Environmental Technology, 35 (13). 1596-1604 doi:10.1080/09593330.2013.874500
Leiviskä, Tiina, Nurmesniemi, Hannu, Pöykiö, Risto, Rämö, Jaakko, Kuokkanen, Toivo, Pellinen, Jaakko (2008) Effect of biological wastewater treatment on the molecular weight distribution of soluble organic compounds and on the reduction of BOD, COD and P in pulp and paper mill effluent. Water Research, 42. 3952-3960 doi:10.1016/j.watres.2008.06.016
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 10, 2025 05:44:20
Go to top of page