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Application of QSARs Model in Toxicity Evaluation of Wastewater to Bio-treatment System in WWTP

机译:QSARs模型在污水处理厂污水处理系统毒性评估中的应用

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摘要

The gaps of data for influent toxicity to biological system create the need for estimation methodologies to predict their hazardous impacts and screen the wastewater discharged into wastewater treatment plants. In this paper, 24 chemicals were chosen, and the method of their toxicity concentration expression for activated sludge system, defined as C50%, were investigated based on sludge respiration rate for mid-term (24 hours) and short-term (30 minutes) respectively. QSARs models of mid-term and short-term toxicity on activated sludge were then developed from the physicochemical parameter of Kow and molecular structure descriptor of Elumo, and could describe the obtained data set well with high coefficient and small standard error. Compared with the QSARs model of short-term toxicity, the mid-term toxicity QSARs model were more stable and accurate. The obtained results confirmed that Kow and Elumo are crucial QSARs model descriptor for toxicity effect on activated sludge system.
机译:进水对生物系统的毒性数据的空白,导致需要估算方法来预测其有害影响并筛选排放到废水处理厂中的废水。本文选择了24种化学物质,并根据污泥呼吸中期(24小时)和短期(30分钟)的呼吸速率研究了活性污泥系统的毒性浓度表示方法(定义为C50%)。分别。根据Kow的理化参数和Elumo的分子结构描述,建立了对活性污泥的中,短期毒性的QSARs模型,可以很好地描述获得的数据集,具有较高的系数和较小的标准误。与短期毒性QSARs模型相比,中期毒性QSARs模型更加稳定,准确。获得的结果证实,Kow和Elumo是活性污泥系统毒性影响的关键QSARs模型描述符。

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