Institute for the Environment, Brunel University, Uxbridge, United Kingdom; Severn Trent Water, Birmingham, United Kingdom.
Environ Toxicol Chem. 2011 Apr;30(4):852-60. doi: 10.1002/etc.441. Epub 2011 Feb 21.
The toxicity of Cu to Daphnia magna was investigated in a series of 48-h immobilization assays in effluents from four wastewater treatment works. The assay results were compared with median effective concentration (EC50) forecasts produced by the HydroQual biotic ligand model (BLM), the refined D. magna BLM, and a modified BLM that was constructed by integrating the refined D. magna biotic ligand characterization with the Windermere humic aqueous model (WHAM) VI geochemical speciation model, which also accommodated additional effluent characteristics as model inputs. The results demonstrated that all the BLMs were capable of predicting toxicity by within a factor of two, and that the modified BLM produced the most accurate toxicity forecasts. The refined D. magna BLM offered the most robust assessment of toxicity in that it was not reliant on the inclusion of effluent characteristics or optimization of the dissolved organic carbon active fraction to produce forecasts that were accurate by within a factor of two. The results also suggested that the biotic ligand stability constant for Na may be a poor approximation of the mechanisms governing the influence of Na where concentrations exceed the range within which the biotic ligand stability constant value had been determined. These findings support the use of BLMs for the establishment of site-specific water quality standards in waters that contain a substantial amount of wastewater effluent, but reinforces the need for regulators to scrutinize the composition of models, their thermodynamic and biotic ligand parameters, and the limitations of those parameters.
采用一系列 48 小时固定实验,研究了来自四个污水处理厂的废水对大型溞的毒性。将实验结果与 HydroQual 生物配体模型 (BLM)、改良的大型溞 BLM 和改良的 BLM 的预测值(通过将改良的大型溞生物配体特征与温德米尔腐殖质水模型 (WHAM) VI 地球化学形态模型相结合构建而成,该模型还将其他废水特性作为模型输入)进行了比较。结果表明,所有 BLM 都能够在 2 倍以内预测毒性,而改良的 BLM 则能产生最准确的毒性预测值。改良的大型溞 BLM 提供了最稳健的毒性评估,因为它不依赖于包含废水特性或优化可溶解有机碳活性部分来产生 2 倍以内的准确预测值。研究结果还表明,Na 的生物配体稳定常数可能无法很好地描述 Na 浓度超过生物配体稳定常数确定范围时影响的机制。这些发现支持在含有大量废水的水域中使用 BLM 来制定特定地点的水质标准,但也强化了监管机构对模型组成、热力学和生物配体参数及其参数限制进行审查的必要性。