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Evaluating criteria for enhanced coagulation compliance
Abstract
Jar testing of 31 natural waters suggests many utilities may need the proposed alternative performance criterion to comply with enhanced coagulation specified in the proposed D/DBP Rule. Jar tests were performed on 31 natural waters from a variety of sources across the United States. These tests indicate that the majority of utilities supplying samples will have difficulty meeting the Step 1 total organic carbon (TOC) removal requirements in the Disinfectants/Disinfection By‐products Rule. Utilities may need the proposed point of diminishing returns alternative performance criterion to achieve compliance with the enhanced coagulation requirement. Water sources with high TOC and low alkalinity were most likely to meet the proposed Step 1 TOC requirements. Those with low TOC were most likely to need the alternative performance criterion.
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Citations
Cited by
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Hohner, A. K., Rhoades, C. C., Wilkerson, P., & Rosario-Ortiz, F. L. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00670 · Cited by 237
Drinking water treatment response following a Colorado wildfire
Hohner, A. K., Cawley, K., Oropeza, J., Summers, R. S., & Rosario-Ortiz, F. L. (2016) · Water Research · doi:10.1016/j.watres.2016.08.034 · Cited by 141
Metadata
- Authors
- White, M. C., Thompson, J. D., Harrington, G. W., & Singer, P. C.
- Venue
- Journal AWWA
- Publisher
- Wiley
- Published
- 1997-05
- Volume
- 89
- Issue
- 5
- Pages
- 64-77
- ISSN
- 0003-150X (ISSN-L)
- 1551-8833
- OpenAlex
- W1591628514
- Cited by
- 189
- References
- 0
- FWCI
- 4.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- White, M. C., Thompson, J. D., Harrington, G. W., & Singer, P. C. (1997). Evaluating criteria for enhanced coagulation compliance. Journal AWWA. https://doi.org/10.1002/j.1551-8833.1997.tb08228.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.
