Predicting unregulated disinfection by-products in small water distribution networks: an empirical modelling framework
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-020-08468-y.pdf
Reference64 articles.
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2. Alver, A., Baştürk, E., & Kılıç, A. (2018). Disinfection by-products formation potential along the Melendiz River, Turkey; associated water quality parameters and non-linear prediction model. International Journal of Environmental Research, 12(6), 909–919. https://doi.org/10.1007/s41742-018-0145-4.
3. Baranyi, J., & da Silva, N. B. (2017). The use of predictive models to optimize risk of decisions. International Journal of Food Microbiology, 240, 19–23. https://doi.org/10.1016/j.ijfoodmicro.2016.10.016.
4. Bereskie, T. A. (2017). Drinking water management and governance in small drinking water systems: integrating continuous performance improvement and risk-based benchmarking. Doctoral dissertation, University of British Columbia. https://doi.org/10.14288/1.0347281.
5. Bond, T., Goslan, E. H., Parsons, S. A., & Jefferson, B. (2012). A critical review of trihalomethane and haloacetic acid formation from natural organic matter surrogates. Environmental Technology Reviews, 1(1), 93–113. https://doi.org/10.1080/09593330.2012.705895.
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