School of Chemical & Environmental Engineering, China University of Mining & Technology - Beijing, Beijing, 100083, PR China.
School of Chemical & Environmental Engineering, China University of Mining & Technology - Beijing, Beijing, 100083, PR China.
J Environ Manage. 2022 Jan 15;302(Pt B):114096. doi: 10.1016/j.jenvman.2021.114096. Epub 2021 Nov 12.
To quantitate the degradation rate of 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethylcyclopenta-[g]-2-benzopyran (HHCB) and 7-acetyl-1,1,3,4,4,6-hexamethyl-1,2,3,4-tetrahydronaphthalene (AHTN) under field conditions, a level III fugacity model combined with a least-squares method was used to determine the degradation rate of HHCB and AHTN in the North Canal River watershed of Beijing, China. Model fitting, validation, sensitivity, and uncertainty analyses revealed that the established model was stable and robust. The degradation rates of HHCB and AHTN were 4.16 × 10 h (t = 167 h) and 1.68 × 10 h (t = 41.3 h), respectively. The calculated degradation rates were extrapolated to the Liangshui River, and indicated that the differences between the measured and predicted concentrations were less than 0.32 and 0.34 log units for HHCB and AHTN, respectively. The attenuation rates of HHCB and AHTN were calculated, and the results indicated that degradation was an important yet not the sole contributor to the degradation of the polycyclic musks. Results of uncertainty analyses indicated that the inflow and outflow concentrations of the polycyclic musks in the surface water of each segment strongly influenced the model outputs, followed by environmental factors (water depth and flow rate). It is essential to measure the degradation rate in the field because of the influence of the surrounding environment. The present study reveals the utility of fugacity models to quantify the degradation rate of organic micropollutants in the field.
为了定量研究 1,3,4,6,7,8-六氢-4,6,6,7,8,8-六甲基环戊并[g]-2-苯并吡喃（HHCB）和 7-乙酰基-1,1,3,4,4,6-六甲基-1,2,3,4-四氢萘（AHTN）在野外条件下的降解速率，采用三级逸度模型结合最小二乘法确定了中国北京北运河流域 HHCB 和 AHTN 的降解速率。模型拟合、验证、敏感性和不确定性分析表明，所建立的模型稳定且可靠。HHCB 和 AHTN 的降解速率分别为 4.16×10^-1 h（t = 167 h）和 1.68×10^-1 h（t = 41.3 h）。计算得到的降解速率被外推到凉水河流域，结果表明 HHCB 和 AHTN 的实测浓度与预测浓度的差异小于 0.32 和 0.34 个对数单位。衰减速率的计算结果表明，降解是多环麝香降解的重要但不是唯一因素。不确定性分析结果表明，各河段地表水中多环麝香的入流和出流浓度对模型输出影响较大，其次是环境因素（水深和流速）。由于周围环境的影响，在现场测量降解速率是必要的。本研究揭示了逸度模型在定量研究野外有机微量污染物降解速率方面的应用。
