dc.contributor.author |
Bertelkamp, C |
en |
dc.contributor.author |
Verliefde, AR |
en |
dc.contributor.author |
Reynisson, Johannes |
en |
dc.contributor.author |
Singhal, Naresh |
en |
dc.contributor.author |
Cabo, AJ |
en |
dc.contributor.author |
de Jonge, M |
en |
dc.contributor.author |
van der Hoek, JP |
en |
dc.date.accessioned |
2017-04-10T00:04:41Z |
en |
dc.date.issued |
2016-03 |
en |
dc.identifier.citation |
Journal of Hazardous Materials 304:502-511 Mar 2016 |
en |
dc.identifier.issn |
0304-3894 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/32535 |
en |
dc.description.abstract |
This study investigated relationships between OMP biodegradation rates and the functional groups present in the chemical structure of a mixture of 31 OMPs. OMP biodegradation rates were determined from lab-scale columns filled with soil from RBF site Engelse Werk of the drinking water company Vitens in The Netherlands. A statistically significant relationship was found between OMP biodegradation rates and the functional groups of the molecular structures of OMPs in the mixture. The OMP biodegradation rate increased in the presence of carboxylic acids, hydroxyl groups, and carbonyl groups, but decreased in the presence of ethers, halogens, aliphatic ethers, methyl groups and ring structures in the chemical structure of the OMPs. The predictive model obtained from the lab-scale soil column experiment gave an accurate qualitative prediction of biodegradability for approximately 70% of the OMPs monitored in the field (80% excluding the glymes). The model was found to be less reliable for the more persistent OMPs (OMPs with predicted biodegradation rates lower or around the standard error=0.77d(-1)) and OMPs containing amide or amine groups. These OMPs should be carefully monitored in the field to determine their removal during RBF. |
en |
dc.format.medium |
Print-Electronic |
en |
dc.language |
eng |
en |
dc.publisher |
Elsevier BV |
en |
dc.relation.ispartofseries |
Journal of Hazardous Materials |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
A predictive multi-linear regression model for organic micropollutants, based on a laboratory-scale column study simulating the river bank filtration process |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1016/j.jhazmat.2015.11.003 |
en |
pubs.begin-page |
502 |
en |
pubs.volume |
304 |
en |
dc.rights.holder |
Copyright: Elsevier BV |
en |
dc.identifier.pmid |
26619049 |
en |
pubs.end-page |
511 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
512526 |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Civil and Environmental Eng |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Science Research |
en |
pubs.org-id |
Maurice Wilkins Centre (2010-2014) |
en |
dc.identifier.eissn |
1873-3336 |
en |
pubs.record-created-at-source-date |
2017-04-10 |
en |
pubs.dimensions-id |
26619049 |
en |