title: Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model.
abstract: An accidental discharge of nitrobenzene happened in November 2005 in the Songhua River, China. The AQUATOX model was modified and adapted to simulate the time-dependent nitrobenzene distribution in this multimedia aquatic system and its potential ecological impacts. Nitrobenzene concentrations in flowing water, sediment, and biota were predicted. Based on the initial concentrations of nitrobenzene observed in the field during the accidental discharge, that is, 0.167-1.47 mg/L at different river segments, the predicted water concentrations of nitrobenzene would be lower than 0.02 and 0.002 mg/L after twenty days and one month, respectively. Both model prediction and field observation were in good agreement. The predicted nitrobenzene concentrations in sediments and aquatic organisms would be lower than 0.025 and 0.002 mg/kg, respectively, after two months. Among the environmental factors affecting nitrobenzene concentrations in water, inflow water dilution, water temperature, and initial concentration were the most important, by sensitivity analysis. Comparing the perturbed simulation and control simulation, the biomass changes for diatoms and mussel were significantly affected, whereas, no influence on other organisms could be predicted. Therefore the results indicated that nitrobenzene pollution in the Songhua River should have a limited impact on the benthos community.
authors.affiliation: State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Envimronmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. leibingli@126.com
authors.forename: Bingli
authors.initials: B
authors.lastname: Lei
authors.forename: Shengbiao
authors.initials: S
authors.lastname: Huang
authors.forename: Min
authors.initials: M
authors.lastname: Qiao
authors.forename: Tianyun
authors.initials: T
authors.lastname: Li
authors.forename: Zijian
authors.initials: Z
authors.lastname: Wang
mesh_terms: D000818:Animals; D018533:Biomass; D002681:China; D017753:Ecosystem; D004784:Environmental Monitoring; D005399:Fishes; D007448:Invertebrates / Q000187:drug effects; D008954:Models, Biological; D009578:Nitrobenzenes / Q000737:chemistry* / Q000633:toxicity*; D010933:Plankton / Q000187:drug effects; D045483:Rivers / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000737:chemistry* / Q000633:toxicity*; D014877:Water Pollution, Chemical
chemical_list: D009578:Nitrobenzenes; D014874:Water Pollutants, Chemical; C036077:nitrobenzene