Aerobic transformations of organic matters in sewer wastewater, a case study of Milan, Italy

References

• Abdul-Talib, S., et al., 2002. Anoxic transformations of wastewater organic matter in sewers-process kinetics, model concept and wastewater treatment potential. Water Science & Technology, 45 (3), 53–60.
   PubMed Web of Science ®Google Scholar
• Almeida, M.C., 1999. Pollutant Transformation Processes in Sewers Under Aerobic Dry Weather Flow Conditions. Thesis (PhD), Department of Civil and Environmental Engineering, Imperial College of Science, Technology and Medicine, London University, Londres, UK, 422).
   Google Scholar
• Almeida, M.C., Butler, D., and Matos, J.S., 2000. In-sewer biodegradation study at the Costa do Estoril interceptor system. Water Science & Technology, 2 (4), 327–334.
   Google Scholar
• Baban, A. and Talinli, I., 2009. Modeling of organic matter removal and nitrification in sewer systems- an approach to wastewater treatment. Journal of Desalination, 246 (1-3), 640–647.10.1016/j.desal.2008.07.018
   Web of Science ®Google Scholar
• Bjerre, H.L., 1997. Transformation of wastewater in an open sewer: the Emscher River, Germany. PhD dissertation. Aalborg University.
   Google Scholar
• Bjerre, H.L., et al., 1997. Modelling of aerobic wastewater transformations under sewer conditions in the Emscher River. Germany. Water Environment Research, 70 (6), 1151–1160.
   Web of Science ®Google Scholar
• Calabro, P.S., Mannina, G., and Viviani, G., 2009. In sewer processes: mathematical model development and sensitivity analysis. Journal of Water Science and Technology, 60 (1), 107–115.10.2166/wst.2009.296
   PubMed Web of Science ®Google Scholar
• Capodici, M., et al., 2016. An innovative respirometric method to assess the autotrophic active fraction: Application to an alternate oxic-anoxic MBR pilot plant. Chemical Engineering Journal, 300, 367–375.
   Web of Science ®Google Scholar
• Collection systems, MIKE URBAN, MIKE by DHI, 2014.
   Google Scholar
• DHI A-D Reference Manual, DHI Water & Environment, 2012.
   Google Scholar
• EEC, 1991. Council Directive of 21 May 1991 concerning urban waste water treatment (9 1 /271 /EEC), Official Journal of the European Communities No L 135/40, 30th May 1991.
   Google Scholar
• Espinosa-Rodriguez, M.A., et al., 2012. Effect of temperature in the growth rates and decay heterotrophic in the range of 20-32 in activated sludge process. Mexican Journal of Chemical Engineering, 11 (2), 309–321.
   Google Scholar
• Esquivel-Rios, I., et al., 2013. A microrespirometric method for the determination of stoichiometric and kinetic parameters of heterotrophic and autotrophic cultures. Biochemical Engineering Journal, 83, 70–78.
   Web of Science ®Google Scholar
• Fall, C., et al., 2012. Initial-rate based method for estimating the maximum heterotrophic growth rate parameter (.μHmax). Bioresource Technology, 116 (116), 126–132.10.1016/j.biortech.2012.03.102
   PubMed Web of Science ®Google Scholar
• Garsdal, H., et al., 1994. Mouse trap: modeling of water quality processes and the interaction of sediments and pollutants in sewers. In: The Sewer as a Physical, Chemical and Biological Reactor-Specialized int. Conf, 16-18 May 1994 Aalborg, Denmark.
   Google Scholar
• Guisasola, A., et al., 2009. Development of a model for assessing methane formation in rising main sewers. Water Research Journal, 43 (11), 2874–2884.10.1016/j.watres.2009.03.040
   PubMed Web of Science ®Google Scholar
• Henze, M., et al., 1987. Activated sludge model nr.1. IAWPRC Scientific and Technical Report NR.1. London: IAWPRC. ISSN 1010-707X.
   Google Scholar
• Henze, M., et al., 1995. Activated sludge model nr.2. IAWQ Scientific and Technical Report nr.3. London: IAWQ. ISSN 1025-0913.
   Google Scholar
• Henze, M., et al., eds., 2000. Activated Sludge Models ASM1, ASM2, ASM2d and ASM3. Scientific and Technical Report No.9. London: IWA (International Water Association) Publishing, 121.
   Google Scholar
• Henze, M., et al., 2002. Wastewater treatment: biological and chemical processes. 3rd ed. Berlin: Springer-Verlag.10.1007/978-3-662-04806-1
   Google Scholar
• Henze, M., et al., 2008. Biological wastewater treatment: principles, modelling and design. London: IWA Publishing.
   Google Scholar
• Houhou, J., et al., 2009. Phosphate dynamics in an urban sewer: a case study of Nancy, France. Water Research Journal, 43 (4), 1088–1100.10.1016/j.watres.2008.11.052
   PubMed Web of Science ®Google Scholar
• Hur, J., et al., 2010. Estimation of biological oxygen demand and chemical oxygen demand for combined sewer systems using synchronous fluorescence spectra. Journal of Sensors, 10 (4), 2460–2471.10.3390/s100402460
   Web of Science ®Google Scholar
• Hvitved-Jacobsen, T., Vollertsen, J. and Nielsen, P.H., 1998. A process and model concept for microbial wastewater transformations on gravity sewers. Water Science & Technology, 37 (1), 233–241.
   Web of Science ®Google Scholar
• Hvitved-Jacobsen, T., Vollertsen, J. and Tanaka, N., 1999. Wastewater quality changes during transport in sewers- an integrated aerobic and anaerobic model concept for carbon and sulfur microbial transformations. Water Science & Technology, 37 (1), 242–249.
   Web of Science ®Google Scholar
• Hvitved-Jacobsen, T., Vollertsen, J. and Haaning Nielsen, A., 2013. Sewer processes, microbial and chemical process engineering of sewer networks. 2nd ed. New York, NY: CRC Press, Taylor and Francis Group.10.1201/b14666
   Google Scholar
• Kappeler, J. and Gujer, W., 1992. Estimation of kinetic parameters of heterotrophic biomass under aerobic conditions and characterization of wastewater for activated sludge modeling. Water Science & Technology, 25 (6), 125–139.
   Web of Science ®Google Scholar
• Koch, C.M. and Zandi, I., 1973. Use of pipelines as aerobic biological reactors. Journal of Water Pollution Control Federation, 45 (12), 2537–2548.
   PubMed Web of Science ®Google Scholar
• Mark, O., 1995. Numerical modeling approaches for sediment transport in sewer systems. Thesis (PhD). Aalborg University.
   Google Scholar
• Matthijs, E., et al., 1995. The fate of detergent surfactants in sewer systems. Water Science & Technology, 31 (7), 321–328.
   Web of Science ®Google Scholar
• Mesdaghinia, A., et al., 2015. The estimation of per capita loadings of domestic wastewater in Tehran. Journal of Environmental Health Science & Engineering, 13 (25), 321–328. Available from: https://www.ijehse.com/content/13/1/25
   Google Scholar
• Mourato, S., et al., 2003. Modeling in-sewer pollutant degradation processes in the Costa do Estoril sewer system. Water Science & Technology, 47 (4), 93–100.
   PubMed Web of Science ®Google Scholar
• MOUSE pipe flow, Reference Manual, DHI Water & Environment, 2004.
   Google Scholar
• Nielsen, A.H., et al., 2005. Simulation of sulfide buildup in wastewater and atmosphere of sewer networks. Water Science & Technology, 52 (3), 201–208.
   PubMed Web of Science ®Google Scholar
• Reference documentation, Genetic Algorithm, MATLAB R2015b, 2015.
   Google Scholar
• Rieckermann, J., et al., 2005. Dispersion coefficients of Sewers from tracer experiments. Water Science & Technology, 52 (5), 123–133.
   PubMed Web of Science ®Google Scholar
• Sollfrank, U. and Gujer, W., 1991. Characterization of domestic wastewater for mathematical modeling of activated sludge process. Water Science & Technology, 23, 1057–1066.
   Web of Science ®Google Scholar
• Thai, K., et al., 2014. Effects of sewer conditions on the degradation of selected illicit drug residues in wastewater. Water Research Journal, 48 (1) January 2014, 538–547.10.1016/j.watres.2013.10.019
   PubMed Web of Science ®Google Scholar
• Vollertsen, J., Almeida, M.C., and Hvitved-Jacobsen, T., 1999. Effects of temperature and dissolved oxygen on hydrolysis of sewer solids. Water Research, 33 (14), 3119–3126.10.1016/S0043-1354(99)00032-9
   Web of Science ®Google Scholar
• Yang, W., Vollertsen, J. and Hvitved-Jacobsen, T., 2004. Anoxic control of odor and corrosion from sewer networks. Water Science & Technology, 50 (4), 341–349.
   PubMed Web of Science ®Google Scholar