Johnson Andrew C, Williams Richard J, Simpson Pete, Kanda Rakesh
Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK.
Environ Pollut. 2007 May;147(1):194-202. doi: 10.1016/j.envpol.2006.08.032. Epub 2006 Oct 9.
An assessment of the steroid estrogen removing performance of 23 different sewage treatment plants (STPs) was performed. The assessment relied on a model to estimate influent concentrations, and completed questionnaires on the STP treatment details from the relevant water companies. This information was compared with observed effluent 17beta-estradiol (E2) and estrone (E1) concentrations. The 10 biological filter plants (BFP) in the study performed poorly with only 30% (SD 31) removal on average for E1. This reduced E1 removal performance of the BFPs compared to all the other STP types in the survey was statistically significant (p<0.001). Scenarios of all the STPs as activated sludge types, and one as all BFP types were modelled using the GREAT-ER model set up for the Aire/Calder catchment in the UK. This difference was shown to have an important effect on predicted river E1 concentrations and consequent risk classifications.
对23个不同污水处理厂(STP)去除类固醇雌激素的性能进行了评估。该评估依赖于一个估计进水浓度的模型,并完成了来自相关自来水公司的关于污水处理厂处理细节的调查问卷。将这些信息与观察到的出水17β-雌二醇(E2)和雌酮(E1)浓度进行了比较。研究中的10个生物滤池厂(BFP)表现不佳,E1的平均去除率仅为30%(标准差31%)。与调查中的所有其他污水处理厂类型相比,生物滤池厂的E1去除性能降低具有统计学意义(p<0.001)。使用为英国艾尔/卡尔德集水区建立的GREAT-ER模型,对所有污水处理厂都为活性污泥类型的情况以及全部为生物滤池厂类型的一种情况进行了建模。结果表明,这种差异对预测的河流E1浓度以及随之而来的风险分类有重要影响。