Uses of fluorescence excitation-emissions indices in predicting water treatment efficiency
(2017) In Journal of Water Process Engineering 16. p.249-257- Abstract
Membrane filtration is a possible alternative for the increase of the natural organic matter (NOM) content in the raw water sources in boreal areas. In a pilot study, a new hollow fiber nanofilter (HFNF) has been tested. Water from four raw water sources were treated in membrane pilot plants, and three full-scale conventional plants were sampled. Three established fluorescence indices, humification index (HIX), fluorescence index (FI) and freshness index (β:α), were used for characterization, and were related to NOM removal by the two treatment methods Although the NOM removal in the treatment processes were related to SUVA, HIX has only a weak correlation to the total organic carbon (TOC) reduction of the HFNF, and none for the... (More)
Membrane filtration is a possible alternative for the increase of the natural organic matter (NOM) content in the raw water sources in boreal areas. In a pilot study, a new hollow fiber nanofilter (HFNF) has been tested. Water from four raw water sources were treated in membrane pilot plants, and three full-scale conventional plants were sampled. Three established fluorescence indices, humification index (HIX), fluorescence index (FI) and freshness index (β:α), were used for characterization, and were related to NOM removal by the two treatment methods Although the NOM removal in the treatment processes were related to SUVA, HIX has only a weak correlation to the total organic carbon (TOC) reduction of the HFNF, and none for the conventional treatment. FI and β:α are both correlated to the TOC reduction of the HFNF. Water hardness has a logarithmical correlation to the TOC reduction by the HFNF, plausibly due to moderation of the membrane surface. FI and β:α have potential to predict the efficiency of the HFNF and conventional treatment processes, and could be used online to identify changes in the raw water which affects the process efficiency.
(Less)
- author
- Lidén, Angelica LU ; Keucken, Alexander LU and Persson, Kenneth M. LU
- organization
- publishing date
- 2017-04-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Drinking water treatment, Fluorescence indices, Nanofiltration, Natural organic matter
- in
- Journal of Water Process Engineering
- volume
- 16
- pages
- 9 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85013276811
- ISSN
- 2214-7144
- DOI
- 10.1016/j.jwpe.2017.02.003
- language
- English
- LU publication?
- yes
- id
- 95a50085-623b-41e8-ac66-45ef943b3126
- date added to LUP
- 2017-03-01 08:28:44
- date last changed
- 2022-04-01 07:09:28
@article{95a50085-623b-41e8-ac66-45ef943b3126, abstract = {{<p>Membrane filtration is a possible alternative for the increase of the natural organic matter (NOM) content in the raw water sources in boreal areas. In a pilot study, a new hollow fiber nanofilter (HFNF) has been tested. Water from four raw water sources were treated in membrane pilot plants, and three full-scale conventional plants were sampled. Three established fluorescence indices, humification index (HIX), fluorescence index (FI) and freshness index (β:α), were used for characterization, and were related to NOM removal by the two treatment methods Although the NOM removal in the treatment processes were related to SUVA, HIX has only a weak correlation to the total organic carbon (TOC) reduction of the HFNF, and none for the conventional treatment. FI and β:α are both correlated to the TOC reduction of the HFNF. Water hardness has a logarithmical correlation to the TOC reduction by the HFNF, plausibly due to moderation of the membrane surface. FI and β:α have potential to predict the efficiency of the HFNF and conventional treatment processes, and could be used online to identify changes in the raw water which affects the process efficiency.</p>}}, author = {{Lidén, Angelica and Keucken, Alexander and Persson, Kenneth M.}}, issn = {{2214-7144}}, keywords = {{Drinking water treatment; Fluorescence indices; Nanofiltration; Natural organic matter}}, language = {{eng}}, month = {{04}}, pages = {{249--257}}, publisher = {{Elsevier}}, series = {{Journal of Water Process Engineering}}, title = {{Uses of fluorescence excitation-emissions indices in predicting water treatment efficiency}}, url = {{http://dx.doi.org/10.1016/j.jwpe.2017.02.003}}, doi = {{10.1016/j.jwpe.2017.02.003}}, volume = {{16}}, year = {{2017}}, }