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Stochastic Modeling of Chemical Oxygen Demand Transformations in Gravity Sewers
Author(s) -
Vollertsen Jes,
HvitvedJacobsen Thorkild,
Nielsen Asbjorn Haaning
Publication year - 2005
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.1002/j.1554-7531.2005.tb00292.x
Subject(s) - wastewater , sanitary sewer , environmental science , chemical oxygen demand , residence time (fluid dynamics) , residence time distribution , biochemical oxygen demand , upstream and downstream (dna) , upstream (networking) , environmental engineering , organic matter , sewage treatment , monte carlo method , chemistry , mathematics , mineralogy , engineering , statistics , organic chemistry , inclusion (mineral) , telecommunications , geotechnical engineering
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.