Experimental and modeling study of sorption characteristics of selected PPCPs onto river sediments
YU Mian-zi1, YUAN Xiao1, LI Shi-yu1,2, HU Jia-tang1,2
1. School of Environmental Science and Engineering, Sun Yat-sun University, Guangzhou 510275, China;
2. Guangdong Province Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou 510275, China
A water/sediment interface was roughly simulated in laboratory, and a central composite design was applied to investigate the influence of temperature, pH, organic content, and velocity on the sorption proprotion of five selected PPCPs (caffeine, chloramphenicol, carbamazepine, sulfamethoxazole and triclosan). Based on the experimental data, multiple regression equations were fitted and calibrated to establish favorable sorption models for PPCPs in the river systems. The results showed that the sorption process of caffeine and carbamazepine were exothermic reaction, and the sorption of sulfamethoxazole, chloramphenicol and triclosan were endothermic reaction. The increase of pH inhibited the sorption capacity of sulfamethoxazole and triclosan, but it could promote the sorption of caffeine, while it had little effect on the sorption of chloramphenicol and carbamazepine. The organic content, velocity and initial concentration had consistent effect on the sorption ratio of PPCPs. With the increase of the values of the factors, the sorption ratio of the five PPCPs increased with different degrees. The fitting and calibration results showed that the correlation coefficients between fitted and measured values of PPCPs sorption proportions were both above 0.8. Therefore, within the ranges of concentration of the investigated factors, the multiple regression equations were able to reasonably model and predict the sorption of PPCPs onto rivers sediment.
余绵梓, 袁啸, 李适宇, 胡嘉镗. 典型PPCPs在河流沉积物中的吸附特性[J]. 中国环境科学, 2019, 39(4): 1724-1733.
YU Mian-zi, YUAN Xiao, LI Shi-yu, HU Jia-tang. Experimental and modeling study of sorption characteristics of selected PPCPs onto river sediments. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(4): 1724-1733.
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