title: Stochastic modeling of chemical oxygen demand transformations in gravity sewers.
abstract: Wastewater quality characteristics in terms of biomass, its substrates, and the corresponding kinetic and stoichiometric parameters were determined based on 109 wastewater samples originating from five different campaigns in four different sewer networks. Quality parameters were determined by model calibration of measured wastewater oxygen uptake rates applying a model that describes the aerobic breakdown of wastewater organic matter. Thereafter, the distributions of the parameters were analyzed. Two of the five datasets were obtained at the upstream end of a five-km-long, intercepting gravity sewer. For each of these upstream wastewater samples, downstream samples were collected with a delay corresponding to the residence time. The upstream distributions of the wastewater composition were used as boundary conditions for a Monte Carlo simulation. The calculated downstream distributions were compared to the measured downstream distributions and good agreement was observed.
authors.affiliation: Aalborg University, Section of Environmental Engineering, Denmark. jv@bio.aau.dk
authors.forename: Jes
authors.initials: J
authors.lastname: Vollertsen
authors.forename: Thorkild
authors.initials: T
authors.lastname: Hvitved-Jacobsen
authors.forename: Asbjorn Haaning
authors.initials: AH
authors.lastname: Nielsen
mesh_terms: D018533:Biomass; D004784:Environmental Monitoring; D006112:Gravitation; D009010:Monte Carlo Method; D010100:Oxygen / Q000032:analysis*; D012722:Sewage; D013269:Stochastic Processes; D014865:Waste Disposal, Fluid / Q000379:methods*; D014871:Water Microbiology
chemical_list: D012722:Sewage; D010100:Oxygen