Articles | Volume 13, issue 1 
            
                
                    
            
            
            
        https://doi.org/10.5194/dwes-13-1-2020
                    © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
                Design methodology to determine the water quality monitoring strategy of a surface water treatment plant in the Netherlands
Related authors
Related subject area
            Tools: Sensoring and monitoring
            
                    
                        
                            
                            
                                     
                                Qualitative and quantitative monitoring of drinking water through the use of a smart electronic tongue
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Real-time hydraulic interval state estimation for water transport networks: a case study
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Online total organic carbon (TOC) monitoring for water and wastewater treatment plants processes and operations optimization
                                
                                    
                            
                        
                    
                    
                    
                    
                    
                    
                    
                    
            
        
        Drink. Water Eng. Sci., 15, 25–34,  2022
                                    
                                    
                            Drink. Water Eng. Sci., 12, 31–37,  2019
                                    
                                    
                            Drink. Water Eng. Sci., 11, 19–24,  2018
                                    
                                    
                            Drink. Water Eng. Sci., 11, 9–17,  2018
                                    
                                    
                            Drink. Water Eng. Sci., 10, 61–68,  2017
                                    
                                    
                            Cited articles
                        
                        Adu-Manu, K. S., Tapparello, C., Heinzelman, W., Katsriku, F. A., and
Abdulai, J. D.: Water quality monitoring using wireless sensor networks:
Current trends and future research directions,
ACM T. Sensor Network., 13, 4:1–4:44, https://doi.org/10.1145/3005719, 2017. 
                    
                
                        
                        Baghoth, S. A., Sharma, S. K., and Amy, G. L.: Tracking natural organic
matter (NOM) in a drinking water treatment plant using fluorescence
excitation-emission matrices and PARAFAC, Water Res., 45, 797–809, 2011. 
                    
                
                        
                        Banna, M. H., Imran, S., Francisque, A., Najjaran, H., Sadiq, R., Rodriguez,
M., and Hoorfar, M.: Online drinking water quality monitoring: Review on
available and emerging technologies,
Crit. Rev. Env. Sci. Tec., 44, 1370–1421, https://doi.org/10.1080/10643389.2013.781936, 2014. 
                    
                
                        
                        Bertelkamp, C., Reungoat, J., Cornelissen, E. R., Singhal, N., Reynisson,
J., Cabo, A. J., van der Hoek, J. P., and Verliefde, A. R. D.: Sorption and
biodegradation of organic micropollutants during river bank filtration: A
laboratory column study, Water Res., 52, 231–241, https://doi.org/10.1016/j.watres.2013.10.068, 2014. 
                    
                
                        
                        Besmer, M. D., Weissbrodt, D. G., Kratochvil, B. E., Sigrist, J. A.,
Weyland, M. S., and Hammes, F.: The feasibility of automated online flow
cytometry for in-situ monitoring of microbial dynamics in aquatic
ecosystems, Front. Microbiol., 265, 1–12, https://doi.org/10.3389/fmicb.2014.00265, 2014. 
                    
                 
                        
                                         
                        
                                         
             
             
             
            