Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers

References

1 
Ding, L., Lv, Z., Han, M., Zhao, X. and Wang, W. (2019). “Forecasting China's wastewater discharge using dynamic factors and mixed-frequency data.” Environmental Pollution, Elsevier, Vol. 255, 113148, https://doi.org/10.1016/j.envpol.2019.113148.DOI
2 
El-Din, A. G. and Smith, D. W. (2002). “A neural network model to predict the wastewater inflow incorporating rainfall events.” Water Research, Elsevier, Vol. 36, No. 5, pp. 1115-1126, https://doi.org/10.1016/S0043-1354(01)00287-1.DOI
3 
Jeong, C. G. and Kim, S. J. (2015). “A study on the improvement of the calculation method of return flow for residential water.” Magazine of Korea Water Resources Association, KWRA, Vol. 48, No. 12, pp. 34-42 (in Korean).URL
4 
Karimi, H. S., Natarajan, B., Ramsey, C. L., Henson, J., Tedder, J. L. and Kemper, E. (2019). “Comparison of learning-based wastewater flow prediction methodologies for smart sewer management.” Journal of Hydrology, Elsevier, Vol. 577, 123977, https://doi.org/10.1016/j.jhydrol.2019.123977.DOI
5 
Lee, J. H. (2012). “Study on the relationship between weather conditions, sewage and operational variables of WWTPs using multivariate statistical methods.” Journal of Korean Society on Water Environment, KSWE, Vol. 28, No. 2, pp. 285-291 (in Korean).URL
6 
Lee, W. W. and Jang, I. H. (2018). Analysis of Time Series Data Using Spss (3rd ed.). Freeacademy. pp. 118-197, https://product.kyobobook.co.kr/detail/S000001762430.URL
7 
Ministry of Environment (ME) (2012). Korea Environment Corporation. Water quality TMS installation and operation manual for advanced and scientific water quality management (in Korean).URL
8 
Ministry of Environment (ME) (2021). 1st National Water Management Master Plan 2021-2030, Collaboration with relevant ministries, 11-1480000-001756-14 (in Korean).URL
9 
Ministry of Environment (ME) (2022a). 2021 Statistics of Wasteworks (in Korean).URL
10 
Ministry of Environment (ME) (2022b). 2021 Statistics of Waterworks (in Korean).URL
11 
Wei, X., Kusiak, A. and Sadat, H. R. (2013). “Prediction of influent flow rate: data-mining approach.” Journal of Energy Engineering, ASCE, Vol. 139, No. 2, pp. 118-123.DOI
12 
Yoo, H. J., Lee, S. O., Choi, S. H. and Park, M. H. (2020). “Development of a data-driven model for forecasting outflow to establish a reasonable river water management system.” Journal of Korean Society of Disaster and Security, KSDS, Vol. 13, No. 4, pp. 75-92, https://doi.org/10.21729/KSDS.2020.13.4.75 (in Korean).DOI
13 
Zhang, Q., Li, Z., Snowling, S., Siam, A. and El-Dakhakhni, W. (2019). “Predictive models for wastewater flow forecasting based on time series analysis and artificial neural network.” Water Science and Technology, IWA, Vol. 80, No. 2, pp. 243-253, https://doi.org/10.2166/wst.2019.263.DOI