Selected peer-reviewed publications by DOSCON staff DOSMONDosing controlProcess ControlCoagulation processImage analysisRapid analysisDOSMON 2022: Nair, A.M., Hykkerud, A., Ratnaweera, H. Estimating Phosphorus and COD Concentrations Using a Hybrid Soft Sensor: A Case Study in a Norwegian Municipal Wastewater Treatment Plant. Water, 14(2), 332. 2020: Nair, A.M., Hykkerud, A., Ratnaweera, H. A cost-effective IoT strategy for remote deployment of soft sensors – A case study on implementing a soft sensor in a multistage MBBR plant. Water Science & Technology, wst2020067, 2020: Nair, A. M., Gonzales, B. M., Haugen, F. A., Ratnaweera, H. and Østershus, S. W. (2020) Real-time monitoring of enhanced biological phosphorus removal in a multistage EBPR-MBBR using a soft-sensor for phosphates, Journal of Water Process Engineering, 37, 101494, 2018: Korshin, G.V., Sgroi, M, Ratnaweera, H. Spectroscopic surrogates for real time monitoring of water quality in wastewater treatment and water reuse. Current Opinion in Environmental Science & Health. Vol 2, 12-18pp, Dosing control 2018: Liu, W; Ratnaweera, Harsha; Kvaal, Knut. Model-based measurement error detection of a coagulant dosage control system. International Journal of Environmental Science and Technology, p. 1-10 2017: Wei, L., Ratnaweera, H.: Feed-forward-based software sensor for outlet turbidity of coagulation process considering plug flow condition. International journal of Environmental Science and Technology,1689-1696 2017: Manamperuma, L., Wei, L., Ratnaweera, H. Multi-parameter based coagulant dosing control. Water Science and Technology 75 (9), 2157-2162 2016: Manamperuma, L., Ratnaweera, H., Heistad, A., Vasenko, L. Effect of degree of prepolymerisation of coagulant and ratio of phosphate-inorganic metal on coagulated sludge. International Journal of Environmental Technology and Management 19(3/4):278–287. 2016: Liu, W., & Ratnaweera, H. Improvement of multi-parameter based feed-forward coagulant dosing control systems with feed-back functionalities. Water Science and Technology, wst2016180. 491-499 2016: Manamperuma, L. D., Ratnaweera, H. C., & Martsul, A. Mechanisms during suspended solids and phosphate concentration variations in wastewater coagulation process. Environmental technology, 1-17. 2015: Manamperuma, L. D.; Ratnaweera, H.C. Coagulation mechanisms during the substitution of inorganic salts with cationic polymers to increase the sludge value.. Journal of Water Resource and Protection;Volume 7.(17) p. 1495-1501 2015: Ratnaweera, H., Fettig, J. State of the Art of Online Monitoring and Control of the Coagulation Process. Water 2015 ; Volume 7.(11) p. 6574-6597 2002: Ratnaweera, Harsha; Lindholm, Oddvar; Lei, Lu. Simulation Programs for Waste Water Coagulation. Water Science and Technology; Volume 46.(4-5) p. 27-33 Process Control 2021:Nair, A., M., Haugen, F. A. and Ratnaweera, H., Economic Model Predictive Control for optimal struvite recovery. Journal of Environmental Management, 280, 111830. 2020: Nair, A. M., Haugen, F. A. and Ratnaweera, H., Adaptive MPC for optimal operation in a municipal wastewater treatment plants, Submitted to Control Engineering Practices 2019: Nair, A. M., Fanta, A. B., Haugen, F. A and Ratnaweera, H., Implementing an Extended Kalman Filter for estimating nutrient composition in a sequential batch MBBR pilot plant, Water Science and Technology, 80 (2), 317-328. 2018: Wang, X., Bi, X., Liu, C.; Ratnaweera, H. Identifying critical components causing seasonal variation of activated sludge settleability and developing early warning tool. Water Science and Technology; Volume 77.(6) p. 1689-1697 2018: Wang, X.; Bi. X Hem, L.; Ratnaweera, H. Microbial community composition of a multi-stage moving bed biofilm reactor and its interaction with kinetic model parameters estimation. Journal of Environmental Management; Volume 218. p. 340-347 2017: Wang, X., Kvaal, K., Ratnaweera, H.: Characterization of influent wastewater with periodic variation and snow melting effect in cold climate area. J. of Computers & Chemical Engineering, 106, 202-21, 2017: Wang, X., Ratnaweera, H., Holm, J.A., Olsbu, V.: Statistical monitoring and dynamic simulation of a wastewater treatment plant: A combined approach to achieve model predictive control. Journal of Environmental Management 193, 1-7 Coagulation process 2020: Ratnaweera, H. Meeting tomorrow’s challenges in particle separation with coagulation. In Multidisciplinary Advances in Efficient Separation Processes, Editor: Chernyshova, I. American Chemical Society, USA, Chapter 7pp 207-223, 2015: Manamperuma, L. and Ratnaweera, H. Coagulation Mechanisms during the Substitution of Inorganic Salts with Cationic Polymers to Increase the Sludge Value. Journal of Water Resource and Protection, 7, 1495-1501. Image analysis 2018: Sivchenko, N., Kvaal, K., Ratnaweera, H., Floc sensor prototype tested in the municipal wastewater treatment plant. Cogent Engineering;Volume 5.(1) 2017: Sivchenko, N., Ratnaweera, H.; Kvaal, K.. Approbation of the texture analysis imaging technique in the wastewater treatment plant. Cogent Engineering ;Volume 4.(1) 2017: Smoczyński, L., Ratnaweera, H., Smoczyński, M., Kosobucka, M., Pieczulis-Smoczyńska, K.: Sizes of particles formed during municipal wastewater treatment, Water Science & Technology 75(4) 2016: Sivchenko, N., Kvaal, K., & Ratnaweera, H. Evaluation of image texture recognition techniques in application to wastewater coagulation. Cogent Engineering, 3: 1206679, 2014: Smoczynski, L; Ratnaweera, H; Kosobucka, M; Smoczynski, M; Image analysis of sludge aggregates, Separation and Purification Technology, 135, 286-286 2014: Smoczyński, L; Ratnaweera, H; Kosobucka, M; Kvaal, K; Smoczyński, M; 2014: Image analysis of sludge aggregates obtained at preliminary treatment of sewage, Water Science & Technology, 70, 6, 1048-1055 2016: Smoczyński, L., Ratnaweera, H., Kosobucka, M., Smoczyński, M., Kalinowski, S., & Kvaal, K. Modelling the structure of sludge aggregates. Environmental technology, 37(9), 1122-1132. Rapid analysis 2022: Rodić, G.; Karanović, V.; Oros, D. Development of Portable IoT Diagnostic Device for Particle Contamination Monitoring. In Proceedings of the Machine and Industrial Design in Mechanical Engineering; Springer International Publishing: 2022; pp. 389–397. 2018: Koronkiewicz, S.; Trifescu, M.; Smoczynski, L., Ratnaweera, H., Kalinowski, S., A novel automatic flow method with direct-injection photometric detector for determination of dissolved reactive phosphorus in wastewater and freshwater samples. Environmental Monitoring & Assessment ;Volume 190.(3) DOSCON Products DOSMON DOSMON © utilizes big data, cloud functionality and remote control functions to make plant monitoring more easy DOSCON BOX DOSCON BOX © provides high process adaptability with simulation and intelligent optimization functions DOSCADA DOSCADA © is a 21st century approach to plant SCADA control, with cyber-secure two-way communication, control and report management of pumps, physical and virtual sensors Your global partner for real time solutions Contact Doscon