Abstract
An operator decision support system (ODSS) is proposed to support operators of wastewater treatment plants (WWTPs) in making appropriate decisions. This system accounts for water quality (WQ) variations in WWTP influent and effluent and in the receiving water body (RWB). The proposed system is comprised of two diagnosis modules, three prediction modules, and a scenario-based supporting module (SSM). In the diagnosis modules, the WQs of the influent and effluent WWTP and of the RWB are assessed via multivariate analysis. Three prediction modules based on the k-nearest neighbors (k-NN) method, activated sludge model no. 2d (ASM2d) model, and QUAL2E model are used to forecast WQs for 3 days in advance. To compare various operating alternatives, SSM is applied to test various predetermined operating conditions in terms of overall oxygen transfer coefficient (Kla), waste sludge flow rate (Qw), return sludge flow rate (Qr), and internal recycle flow rate (Qir). In the case of unacceptable total phosphorus (TP), SSM provides appropriate information for the chemical treatment. The constructed ODSS was tested using data collected from Geumho River, which was the RWB, and S WWTP in Daegu City, South Korea. The results demonstrate the capability of the proposed ODSS to provide WWTP operators with more objective qualitative and quantitative assessments of WWTP and RWB WQs. Moreover, the current study shows that ODSS, using data collected from the study area, can be used to identify operational alternatives through SSM at an integrated urban wastewater management level.
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Change history
31 May 2019
The original corresponding authorship was transferred from Changwon Kim to Yejin Kim by Changwon Kim���s request. All the authors agreed to that.
31 May 2019
The original corresponding authorship was transferred from Changwon Kim to Yejin Kim by Changwon Kim���s request. All the authors agreed to that.
References
Alkhatib K, Najadat H, Hmeidi I, Ali-Shatnawi MK (2013) Stock price prediction using k-nearest neighbor algorithm. International journal of business humanities and technology 3(3):32–44
Arroyo J, Maté C (2009) Forecasting histogram time series with k-nearest neighbours methods. Int J Forecast 25:192–207
Azmi M, Araghinejad S, Jholghi M (2010) Multi model data fusion for hydrological forecasting using k-nearest neighbour method. Iranian journal of science and technology, transaction B, engineering 34(B1):81–92
Benedetti L, Prat P, Nopens I, Poch M, Turon C, De Baets B, Comas J (2009) A new rule generation method to develop a decision support system for integrated management at river basin scale. Water Sci Technol 60(8):2035–2040
Brown LC, Barnwell TO (1987) The enhanced stream water quality models QUAL2E and QUAL2E-UNCAS: documentation and user manual. US Environmental Protection Agency, Office of Research and Development. Environmental Research Laboratory
Busan Regional Office of Construction Management (2010) Report of Basic Plan for Geumho River Maintenance, South Korea
Butler D, Schütze M (2005) Integrating simulation models with a view to optimal control of urban wastewater systems. Environ Model Softw 20:415–426
Carson EC (2006) Hydrologic modeling of flood conveyance and impacts of historic overbank sedimentation on West Fork Black's Fork, Uinta Mountains, northeastern Utah, USA. Geomorphology 75(3):368–383
CEC (2000) Directive 2000/60/EC of the European Parliament and of the Council establishing a framework for the Community action in the field of water policy. OJ L327, 22 December, 1–72
Chen ZB, Nie SK, Ren NQ, Chen ZQ, Wang HC, Cui MH (2011) Improving the efficiencies of simultaneous organic substance and nitrogen removal in a multi-stage loop membrane biroreactor-based PWWTP using an on-line knowledge-based expert system. Water Res 45:5226–5278
Comas J, Rodríguez-Roda I, Gernaey KV, Rosen C, Jeppsson U, Poch M (2008) Risk assessment modelling of microbiology-related solids separation problems in activated sludge systems. Environ Model Softw 23(10–11):1250–1261
Devesa F, Comas J, Turon C, Freixó A, Carrasco F, Poch M (2009) Scenario analysis for the role of sanitation infrastructures in integrated urban wastewater management. Environ Model Softw 24(3):371–380
Fan C, Ko CH, Wang WS (2009) An innovative modeling approach using Qual2K and HEC-RAS integration to assess the impact of tidal effect on river water quality simulation. J Environ Manag 90(5):1824–1832
Gvozdic V, Brana J, Malatesti N, Roland D (2012) Principal component analysis of surface water quality data of the river Drava in eastern Croatia (24 year survey). J Hydroinformatics 14(4):1051–1060
Hamouda MA, Anderson WB, Huck PM (2009) Decision support systems in water and wastewater treatment process selection and design: a review, IWA Publishing
Jönsson P, Wohlin C (2004) An evaluation of k-nearest neighbor imputation using likert data, Proceedings of the 10th International Symposium on Software Metrics (METRICS'04)
Kim HS, Kim YJ, Cheon SP, Baek GD, Kim SS, Kim CW (2012) Evaluation of model-based control strategy based on generated setpoint schedules for NH4-N removal in a pilot-scale A2/O process. Chem Eng J 203:387–397
Kim HS, Moon TS, Kim YJ, Kim MS, Piao WH, Kim SJ, Kim CW (2013) Evaluation of rule-based control strategies according to process state diagnosis in A2/O process. Chem Eng J 222:391–400
Kim MS, Kim YJ, Kim HS, Piao WH, Kim CW (2015a) Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater treatment plant. Front Environ Sci Eng. doi:10.1007/s11783-015-0825-7
Kim MS, Kim YJ, Kim HS, Piao WH, Kim CW (2015b) Enhanced monitoring of water quality variation in Nakdong river downstream using multivariate statistical techniques. Desalin Water Treat. doi:10.1080/19443994.2015.1049963
Koklu R, Sengorur B, Topal B (2010) Water quality assessment using multivariate statistical methods—a case study: Melen river system (Turkey). Water Resour Manag 24:959–978
Lee JW, Yoon JS, Cheon S, Kwon HG, Shin SM, Jang DB, Kwak IS, Jeon MJ, Kim GH (2012) Vitalization of the tributary Nakdong river using water environmental damage assessment(1). NIER-RP 2012–227:36–40
Liu CW, Lin KH, Kuo YM (2003) Application of factor analysis in the assessment of groundwater quality in a Blackfoot disease area in Taiwan. Sci Total Environ 313:77–89
Liu WC, Yu HL, Chung CE (2011) Assessment of water quality in a subtropical alpine lake using multivariate statistical techniques and geostatistical mapping: a case study. Int J Environ Res Public Health 8(4):1126–1140
Makropoulos CK, Natsis K, Liu S, Mittas K, Butler D (2008) Decision support for sustainable option selection in integrated urban water management. Environ Model Softw 23:1448–1460
McIntosh B, Ascough J, Twery M, Chew J, Elmahdi A, Haase D, Harou J, Hepting D, Cuddy S, Jakeman A (2011) Environmental decision support systems (EDSS) development–challenges and best practices. Environ Model Softw 26:1389–1402
Moon TS, Kim YJ, Kim JR, Cha JH, Kim DH, Kim CW (2009) Identification of process operating state with operational map in municipal wastewater treatment plant. J Environ Manag 90:772–778
Olsson G, Carlsson B, Comas J, Coop J, Gernaey KV, Ingildsen P, Jeppsson U, Kim CW, Rieger L, Rodríguez-Roda I, Steyer J-P, Takács I, Vanrolleghem PA, Vargas Casillas A, Yuan Z, Åmand L (2013) Instrumentation, control and automation in wastewater from London 1973 to Narbonne 2013, Proceeding 11th IWA Conference on ICA
Patil AS, Kulkarni NJ (2014) Decision support system for waste water management: a review. International Journal of Innovative Research in Advanced Engineering 1(3):25–29, special issue
Poch M, Comas J, Rodríguez-Roda I, Sánchez-Marré M, Cortés U (2004) Designing and building real environmental decision support systems. Environ Model Softw 19(9):859–873
Prat P, Benedetti L, Corominas L, Comas J, Poch M (2012) Model-based knowledge acquisition in environmental decision support system for wastewater integrated management. Water Sci Technol 65(6):1123–1129
Rodriguez-Roda I, Sánchez-Marrè M, Comas J, Baeza J, Colprim J, Lafuente J, Cortés U, Poch M (2002) A hybrid supervisory system to support WWTP operation: implementation and validation. Water Sci Technol 45(4–5):289–297
Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa D, Anthemidis A, Sofoniou M, Kouimtzis T (2003) Assessment of the surface water quality in northern Greece. Water Res 37:4119–4124
Singh SK, Singh CK, Kumar KS, Gupta R, Mukherjee S (2009) Spatial temporal monitoring of groundwater using multivariate statistical techniques in Bareilly district of Uttar Pradesh. India J Hydrol Hydromech 57(1):45–54
Sironen S, Kangas A, Maltamo M, Kangas J (2003) Estimating individual tree growth with nonparametric methods. Can J For Res 33:444–449
Sottara D, Correale JC, Spetebroot T, Pulcini D, Giunchi D, Paolucci F, Luccarini L (2014) An ontology-based approach for the instrumentation, control and automation infrastructure of a WWTP, 7th Int. Congress on Env. Modelling and Software
Stoner N, Giles C (2011) Achieving water quality through integrated municipal Stormwater and Wastewater plants. USEPA, Washington, DC
Vanrolleghem PA, Spanjers H, Petersen B, Ginestet P, Takacs I (1999) Estimating (combinations of) activated sludge model No. 1 parameters and components by respirometry. Water Sci Technol 39(1):195–214
Vanrolleghem PA, Rosen C, Zaher U, Copp J, Benedetti L, Ayesa E (2005) Ulf. Jeppsson, continuity-based interfacing of models for wastewater systems described by Petersen matrices. Water Sci Technol 52(1–2):493–500
Yang DS, Bae HG (2012) The effect of branches on Kumho River's water quality. J Environ Sci 21(10):1245–1253
Acknowledgments
This research was supported by the Korean Ministry of Environment as “The Eco-Innovation Project.” This work was also partially supported by the second stage of the Brain Korea 21 Program in 2013.
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Kim, M., Kim, Y., Kim, H. et al. Operator decision support system for integrated wastewater management including wastewater treatment plants and receiving water bodies. Environ Sci Pollut Res 23, 10785–10798 (2016). https://doi.org/10.1007/s11356-016-6272-6
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DOI: https://doi.org/10.1007/s11356-016-6272-6