Investigating the management performance of disinfection analysis of water distribution networks using data mining approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/article/10.1007/s10661-018-6769-1/fulltext.html
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3. Ammar, T. A., Abid, K. Y., El-Bindary, A. A., & El-Sonbati, A. Z. (2014). Chlorine dioxide bulk decay prediction in desalinated drinking water. Desalination, 352, 45–51. https://doi.org/10.1016/j.desal.2014.08.010 .
4. Andrade, M. A., Choi, C. Y., Lansey, K., & Jung, D. (2016). Enhanced artificial neural networks estimating water quality constraints for the optimal water distribution systems design. Journal of Water Resources Planning and Management, 142(9), 04016024–1–04016024–14. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000663 .
5. Bowden, G. J., Nixon, J. B., Dandy, G. C., Maier, H. R., & Holmes, M. (2006). Forecasting chlorine residuals in a water distribution system using a general regression neural network. Mathematical and Computer Modelling, 44(5–6), 469–484. https://doi.org/10.1016/j.mcm.2006.01.006 .
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