References
- Aguado, D., Rogen, C, 2008, Multivariate statistical monitoring of continuous wastewater treatment plants, Engineering Applications of Artificial Intelligence, 21, 1080-1091. https://doi.org/10.1016/j.engappai.2007.08.004
- Alvarez, D. G., Fuente, M. J., Vega, P., Sainz, G., 2009, Fault detection and diagnosis using multivariate statistical techniques in a wastewater treatment plant, Proceedings of 7th IFAC International Symposium on Advanced Control of Chemical Process.
- Durrenmatt, D. J., Gujer, W., 2012, Environmental Modelling & Software, 30, 47-56.
- Feng, H., Yi, Z., 2018, Joint analysis of input and parametric uncertainties in watershed water quality modeling: A formal Bayesian approach, Advances in Water Resources, 116, 77-94. https://doi.org/10.1016/j.advwatres.2018.04.006
- Franz, A., Nowak, O., Kroiss, H., 1996, Modeling WWTP treatment efficiency and relationship to receiving water quality, Wat. Sci. Technol., 33(12), 47-55. https://doi.org/10.1016/0273-1223(96)00456-8
- Kim, M., Kim, Y., Kim, H., Piao, W., Kim, C., 2016, Operator decision support system for integrated wastewater management including wastewater treatment plants and receiving water bodies, Environmental Science and Pollution Research, 23(11), 10785-10798. https://doi.org/10.1007/s11356-016-6272-6
- Lee, C. H., Moon, K. S., 2005, Statistical analysis of operating parameters on advanced wastewater treatment plant, J of Environmental Sciences, 14(2), 251-258. https://doi.org/10.5322/JES.2005.14.2.251
- Lee, D. J., Sun, S. W., 2007, Performance evaluation of WWTP based on reliability concept, J of KSEE, 29(3), 348-356.
- Leveque, J. G., Burns, R. C., 2017, A Structural Equation Modeling approach to water quality perceptions, J of Env Manage, 197(15), 440-447. https://doi.org/10.1016/j.jenvman.2017.04.024
- Moon, T. S., Kim, Y. J., Kim, J. R., Cha, J. H., Kim, D. H., Kim, C. W., 2009, Identification of process operating state with operational map in municipal wastewater treatment plant, Journal of Environmental Management, 90, 772-778.
- Moon, T. S., 2011, Development of decision support system for the operator of sewage treatment plant by the diagnosis of process operating state and the inference of reasons, Ph. D. Thesis, Pusan National University.
- Piovoso, M. J., Kosanovich, K. A., 1996, The use of multivariate statistics in process control, in: W.S. Levine(Ed.), The Control Handbook, CRC Press, Boca Raton, FL, 561-573.
- Raich, A., Cinar, A., 1996, Statistical process monitoring and disturbance diagnosis in multivariable continuous processes, AIchE Journal, 42(4), 995-1009. https://doi.org/10.1002/aic.690420412
- Shin, G. K., 2013, Structural Equation Modeling (SEM) with SPSS/AMOS 20., Chungram.
- Yeom, I. T., Chung, H. M., Yu, S. J., Kim, W. K., Kwon, O. S., Ahn, T. U., Son, D. H., Choi, I. C., 2014, A Study on the evaluation for operations of public sewage treatment plants uisng statistics technique, J of Korean Society on Water Environment, 30(5), 524-531. https://doi.org/10.15681/KSWE.2014.30.5.524
- Yoo, C. K., Vanrolleghem, P. A., Lee, I. B., 2006, Fault detection, monitoring and diagnosis of sequencing batch reactor for integrated wastewater treatment management system, Korean Society of Environmental Engineers, 11(2), 1-14.