title: Uncertainty assessment of water quality modeling for a small-scale urban catchment using the GLUE methodology: a case study in Shanghai, China.
abstract: There is often great uncertainty in water quality modeling for urban drainage systems because water quality variation in systems is complex and affected by many factors. The stormwater management model (SWMM) was applied to a small-scale urban catchment with a simple and well-maintained stormwater drainage system without illicit connections. This was done to assess uncertainty in build-up and wash-off modeling of pollutants within the generalized likelihood uncertainty estimation (GLUE) methodology, based on a well-calibrated water quantity model. The results indicated great uncertainty of water quality modeling within the GLUE methodology. Comparison of uncertainties in various pollutant build-up and wash-off models that were available in SWMM indicated that those uncertainties varied slightly. This may be a consequence of the specific characteristics of rainfall events and experimental sites used in the study. The uncertainty analysis of water quality parameters in SWMM is conducive to effectively evaluating model reliability, and provides an experience base for similar research and applications.
authors.affiliation: State Key Lab of Pollution Control and Resource Reuse, Tongji University, Shanghai, 200092, China, weizhang021@163.com.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Tian
authors.initials: T
authors.lastname: Li
authors.forename: Meihong
authors.initials: M
authors.lastname: Dai
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D011891:Rain; D035501:Uncertainty; D014877:Water Pollution, Chemical / Q000032:analysis*; D060753:Water Quality