title: Probabilistic ecological risk assessment of effluent toxicity of a wastewater reclamation plant based on process modeling.
abstract: The growing use of reclaimed wastewater for environmental purposes such as stream flow augmentation requires comprehensive ecological risk assessment and management. This study applied a system analysis approach, regarding a wastewater reclamation plant (WRP) and its recipient water body as a whole system, and assessed the ecological risk of the recipient water body caused by the WRP effluent. Instead of specific contaminants, two toxicity indicators, i.e. genotoxicity and estrogenicity, were selected to directly measure the biological effects of all bio-available contaminants in the reclaimed wastewater, as well as characterize the ecological risk of the recipient water. A series of physically based models were developed to simulate the toxicity indicators in a WRP through a typical reclamation process, including ultrafiltration, ozonation, and chlorination. After being validated against the field monitoring data from a full-scale WRP in Beijing, the models were applied to simulate the probability distribution of effluent toxicity of the WRP through Latin Hypercube Sampling to account for the variability of influent toxicity and operation conditions. The simulated effluent toxicity was then used to derive the predicted environmental concentration (PEC) in the recipient stream, considering the variations of the toxicity and flow of the upstream inflow as well. The ratio of the PEC of each toxicity indicator to its corresponding predicted no-effect concentration was finally used for the probabilistic ecological risk assessment. Regional sensitivity analysis was also performed with the developed models to identify the critical control variables and strategies for ecological risk management.
authors.affiliation: State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
authors.forename: Siyu
authors.initials: S
authors.lastname: Zeng
authors.affiliation: State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
authors.forename: Yunqing
authors.initials: Y
authors.lastname: Huang
authors.affiliation: State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China. Electronic address: sunfu@tsinghua.edu.cn.
authors.forename: Fu
authors.initials: F
authors.lastname: Sun
authors.affiliation: Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Li
authors.affiliation: State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
authors.forename: Miao
authors.initials: M
authors.lastname: He
mesh_terms: D004463:Ecology; D004784:Environmental Monitoring; D018570:Risk Assessment; D045483:Rivers; D014865:Waste Disposal, Fluid; D062065:Wastewater; D014874:Water Pollutants, Chemical
chemical_list: D062065:Wastewater; D014874:Water Pollutants, Chemical
keywords: Bioassay; Ecological risk assessment; Estrogenicity; Genotoxicity; Physically based model; Wastewater reclamation process