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Seasonal concentration variation and potential influencing factors of organophosphorus flame retardants in a wastewater treatment plant
被引:28
|作者:
Li, Shenghong
[1
]
Zhu, Fenfen
[1
]
Zhang, Dongrui
[1
]
Li, Chenghui
[1
]
Xu, Yiping
[2
]
Qing, Dahan
[2
]
Wang, Jiawei
[3
]
机构:
[1] Renmin Univ China, Sch Environm & Nat Resources, 59 Zhongguancundajie Rd, Beijing 100872, Peoples R China
[2] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, 18 Shuangqing Rd, Beijing 100085, Peoples R China
[3] Res Ctr, Beijing Drainage Grp, Beijing 100124, Peoples R China
基金:
北京市自然科学基金;
关键词:
Organophosphate flame retardants;
Sewage treatment plant;
Affecting factors;
PLASTICIZERS;
TOXICITY;
SEWAGE;
EXPOSURE;
SLUDGE;
ESTERS;
DUST;
POLLUTANTS;
REMOVAL;
AIR;
D O I:
10.1016/j.envres.2021.111318
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Organophosphate flame retardants (OPFRs) in both of water and sludge phase of influent and effluent of the STP were investigated in Beijing of China in five seasons. Total OPFRs concentrations in water phase of influent in five seasons were between 600 and 838 ng/L, where total OPFRs concentration was the lowest in summer of 2018. In water phase of influent and effluent, two chlorinated OPFRs (TCEP and TCPP) were major. Alkyl OPFRs decreased the most in water phase from influent to effluent. In sludge phase, the OPFRs amounts in winter were the lowest. The main OPFRs in sludge phase were TEHP and EHDP, which can be explained by the two OPFRs properties (log Kow and log Koc). Higher the values of the log Kow and log Koc of OPFRs, more amounts in sludge phase. The mass flow of OPFRs in influent were analysed by Principal Component Analysis (PCA), indicating that the influent amounts of TCEP, TDCP, TCPP and DCP were main OPFRs in four seasons to influence the characteristics of influent. Compared to OPFRs reduction in some STPs in other countries, alkyl and aryl OPFRs reduction rates were higher than chlorinated OPFRs. TBEP, TEHP and TPHP can always be effectively removed in different seasons and different STPs. The analysis methods of Pearson correlation and linear correlation were processed to check the possible factors affecting OPFRs reduction in STP. OPFRs reduction was related to some STP working parameters. Significant correlation also was found between OPFRs properties and reduction.
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