Analytical methods of size distribution for organic matter in water and wastewater

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Shon, H-K
dc.contributor.author Kim, S-H
dc.contributor.author Erdei, L
dc.contributor.author Vigneswaran, S
dc.date.accessioned 2010-05-14T07:44:35Z
dc.date.created 2010-05-14T07:44:35Z en_US
dc.date.issued 2006-07
dc.identifier.citation Korean Journal of Chemical Engineering, 2006, 23 (4), pp. 581 - 591
dc.identifier.issn 0256-1115
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/6164
dc.description.abstract Organic matter (OM), such as natural organic matter (NOM) in surface waters, and effluent organic matter (EfOM) in wastewaters causes many problems. For example, color, taste and odor derogate potable water quality, while the presence of endocrine disrupting substances and the formation of disinfectant byproducts (DBPs) are public health concerns. Over the years various analytical methods have been developed to characterize organic matter in natural and wastewaters. However, it remains difficult to determine the properties and characteristics of various OM constituents. Since all OM components in water have their own specific sizes, size distribution is a useful analytical tool to characterize complex OM. The results also enable better interpretation of experimental results, determination of future research directions, and evaluation of the progress of investigations. This review presents the common analytical size distribution methods used to characterize OM present in waters and wastewaters.
dc.language eng
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon 10.1007/BF02706798
dc.rights The original publication is available at www.springerlink.com en_US
dc.title Analytical methods of size distribution for organic matter in water and wastewater
dc.type Journal Article
dc.parent Korean Journal of Chemical Engineering
dc.journal.volume 4
dc.journal.volume 23
dc.journal.number 4 en_US
dc.publocation Seoul, South Korea en_US
dc.publocation Dordrecht, The Netherlands
dc.identifier.startpage 581 en_US
dc.identifier.endpage 591 en_US
dc.cauo.name FEIT.School of Civil and Environmental Engineering en_US
dc.conference Verified OK en_US
dc.for 090407 Process Control and Simulation
dc.for 090404 Membrane and Separation Technologies
dc.for 090409 Wastewater Treatment Processes
dc.personcode 900451
dc.personcode 995130
dc.percentage 34 en_US
dc.classification.name Process Control and Simulation en_US
dc.classification.type FOR-08 en_US
dc.edition 1
dc.description.keywords NOM; size distribution; EFOM; DOC en_US
dc.description.keywords learning, models, science education, analogy
dc.description.keywords NOM
dc.description.keywords size distribution
dc.description.keywords EFOM
dc.description.keywords DOC
dc.description.keywords Size distribution
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group /University of Technology Sydney/Strength - Technology in Wastewater Treatment
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)
utslib.collection.history School of Civil and Environmental Engineering (ID: 334)


Files in this item

This item appears in the following Collection(s)

Show simple item record