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NOM characterization and treatability

Owen, Douglas M., Amy, Gary L., Chowdhury, Zaid K., Paode, Rajendra, McCoy, George, Viscosil, Kathy·1995·Journal AWWA

Abstract

These authors recommend that water treatment plant designers and operators use an integrated approach to optimize the collective effects of the treatment train for removing NOM. Because it is not practical to analyze for each individual chemical compound present in natural organic matter (NOM), surrogate characterization methods were south that could identify interrelationships between NOM and its teratability. Source‐related and seasonal differences, effects of ozonation and coagulation on NOM, characterization of NOM in sequential unit processes including granular activated carbon, and aspects of bromide‐NOM interactions are explored. Whereas coagulants remove NOM intact, particularly higher‐molecular‐weight fractions, ozone converts humic to nonhumic material, resulting in NOM fractions that colud be difficult to remove by subsequent of separation techniques unles the bromide concentration is equalized in the individual fractions.

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Metadata

Authors
Owen, D. M., Amy, G. L., Chowdhury, Z. K., Paode, R., McCoy, G., & Viscosil, K.
Venue
Journal AWWA
Publisher
Wiley
Published
1995-01
Volume
87
Issue
1
Pages
46-63
ISSN
  • 0003-150X (ISSN-L)
  • 1551-8833
OpenAlex
W106935143
Cited by
293
References
0
FWCI
5.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: NOM characterization and treatability. https://app.cochat.ai/papers/10.1002/j.1551-8833.1995.tb06301.x
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Owen, D. M., Amy, G. L., Chowdhury, Z. K., Paode, R., McCoy, G., & Viscosil, K. (1995). NOM characterization and treatability. Journal AWWA. https://doi.org/10.1002/j.1551-8833.1995.tb06301.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.