Wavelength-dependent direct and indirect photochemical transformations of organic pollutants

被引:3
|
作者
Zhou, Chong [1 ]
Wu, Binbin [1 ]
Zheng, Xiaoshan [1 ]
Chen, Baoliang [1 ,2 ]
Chu, Chiheng [1 ,2 ]
机构
[1] Zhejiang Univ, Dept Environm Sci, Hangzhou 310058, Peoples R China
[2] Zhejiang Prov Key Lab Organ Pollut Proc & Control, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
Photochemistry; Pollutant transformation; Wavelength-dependent; Sunlight spectrum; Kinetics; AMINO-ACIDS; ENVIRONMENTAL FATE; SINGLET OXYGEN; PHOTODEGRADATION; PHARMACEUTICALS; KINETICS; DEGRADATION; OXIDATION; HISTIDINE; PREDICT;
D O I
10.1016/j.scitotenv.2024.170414
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sunlight-induced photochemical transformations greatly affect the persistence of organic pollutants in natural environment. Whereas sunlight intensity is well-known to affect pollutant phototransformation rates, the reliance of pollutant phototransformation kinetics on sunlight spectrum remains poorly understood, which may greatly vary under different spatial-temporal, water matrix, and climatic conditions. Here, we systematically assessed the wavelength-dependent direct and indirect phototransformations of 12 organic pollutants. Their phototransformation rates dramatically decreased with light wavelength increasing from 375 to 632 nm, with direct photolysis displaying higher wavelength-dependence than indirect photolysis. Remarkably, UV light dominated both direct (90.4-99.5 %) and indirect (64.6-98.7 %) photochemical transformations of all investigated organic pollutants, despite its minor portion in sunlight spectrum (e.g., 6.5 % on March 20 at the equator). Based on wavelength-dependent rate constant spectrum, the predicted phototransformation rate of chloramphenicol (4.5 +/- 0.7 x 10-4 s- 1) agreed well with the observed rate under outdoor sunlight irradiation (4.3 +/- 0.0 x 10-4 s- 1), and there is no significant difference between the predicted rate and the observed rate (p-value = 0.132). Moreover, rate constant and quantum yield coefficient (QYC) spectrum could be applied for facilely investigate the influence of spectral changes on the phototransformation of pollutants under varying spatialtemporal (e.g., season, latitude) and climatic conditions (e.g., cloud cover). Our study highlights the wavelength-dependence of both direct and indirect phototransformation of pollutants, and the UV part of natural sunlight plays a decisive role in the phototransformation of pollutants.
引用
收藏
页数:10
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