QWASI模型的应用可对废水泻湖系统中六种新兴污染物的命运和运输产生有效的见解。,Science of the Total Environment

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QWASI模型的应用可对废水泻湖系统中六种新兴污染物的命运和运输产生有效的见解。
Science of the Total Environment ( IF 8.2 ) Pub Date : 2020-03-03 , DOI: 10.1016/j.scitotenv.2020.137676
Yufei Wang ₁ , Stuart J Khan ₂ , Linhua Fan ₁ , Felicity Roddick ₁

Affiliation

地表水体中新兴污染物（ECs）的发生和命运对全世界的水质管理人员和环境监管者越来越感兴趣。废水处理厂是许多水生环境中EC的主要来源。为市政污水池系统开发了一种改进的定量水气沉积物相互作用（QWASI）逸度模型，以研究六个代表性EC的行为。由于废水泻湖暴露于大量阳光下，原始模型通过添加光解降解作为去除机理进行了修改。在一年的不同季节进行了实验室研究，以获取阳光光降解，水和沉积物转化等关键过程的速率常数，以及系统中目标EC的泥沙吸附系数，作为模型输入。该模型预测了不同EC的路径，并且处理后泻湖系统第一个泻湖的出口中至少保留了65％的EC。预计磺胺甲恶唑的去除率最高（35％），卡马西平的去除率最低（5％）。将多段理论应用于单个泻湖模型，并通过现场采样验证了对连续六个泻湖系统的预测。敏感性分析显示，水相和沉积物相之间的传质系数是影响最大的参数，这四个关键过程速率常数根据EC的不同而有不同的影响。这些结果表明，在这种独特的废水池/稳定池处理系统中，改进的QWASI模型可用于更准确地表示EC的命运和运输。此外，它可以适用于对其他废水处理泻湖系统中的多种EC进行建模，从而有助于工艺优化和处理后水的风险评估。

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Application of a QWASI model to produce validated insights into the fate and transport of six emerging contaminants in a wastewater lagoon system.

The occurrence and fate of emerging contaminants (ECs) in surface water bodies is of increasing interest to water quality managers and environmental regulators throughout the world. Wastewater treatment plants are a major source of ECs in many aquatic environments. A modified Quantitative Water Air Sediment Interaction (QWASI) fugacity model was developed for a municipal wastewater lagoon system to study the behaviour of six representative ECs. As the wastewater lagoons were exposed to extensive periods of sunlight, the original model was modified by the addition of photolytic degradation as a removal mechanism. Laboratory studies were conducted over different seasons of a year to obtain the rate constants for the key processes of sunlight photodegradation, water and sediment transformation, as well as sediment sorption coefficients for the target ECs in the system to serve as model inputs. The model predicted the pathways for the different ECs and that at least 65% of the concentration of the ECs remained in the outflow of the first lagoon of the lagoon system after treatment. The greatest removal was predicted for sulfamethoxazole (35%) and the least for carbamazepine (5%). Multi-segment theory was applied to the single lagoon model and the predictions for the sequential six lagoon system were validated through field sampling. Sensitivity analysis revealed that the mass transfer coefficient between the water and sediment phases was the most influential parameter, with the four key process rate constants having various impacts depending on the EC. These results suggest that the modified QWASI model could be used to more accurately represent the fate and transport of ECs in this unique wastewater lagoon/stabilisation pond treatment system. Furthermore, it can be adapted to model a wide range of ECs in other wastewater treatment lagoon systems and thus assist with process optimisation and risk assessment of the treated water.

更新日期：2020-03-03

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