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物理化学和微生物驱动因素对饮用水分配系统中消毒副产物形成的影响:一种多变量贝叶斯网络建模方法。

Impact of physicochemical and microbial drivers on the formation of disinfection by-products in drinking water distribution systems: A multivariate Bayesian network modeling approach.

作者信息

Hua Pei, Huang Qiuyun, Wang Zhenyu, Jiang Shanshan, Gao Fangzhou, Zhang Jin, Ying Guang-Guo

机构信息

Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.

Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.

出版信息

Water Res. 2025 Apr 1;273:123001. doi: 10.1016/j.watres.2024.123001. Epub 2024 Dec 17.

Abstract

The formation of disinfection byproducts (DBPs) in drinking water distribution systems (DWDS) is significantly affected by numerous factors, including physicochemical water properties, microbial community composition and structure, and the characteristics of organic DBP precursors. However, the codependence of various factors remains unclear, particularly the contribution of microbial-derived organics to DBP formation, which has been inadequately explored. Herein, we present a Bayesian network modeling framework incorporating a Bayesian-based microbial source tracking method and excitation-emission fluorescence spectroscopy-parallel factor analysis to capture the critical drivers influencing DBP formation and explore their interactions. The results showed that the planktonic and suspended particle-associated bacteria in tap water mainly originated from bacteria in the treated water. Protein- and tryptophan-like fluorescence components were identified, illustrating their contribution to DBP formation cannot be ignored. The microbial abundance of Actinobacteria, Bacilli, and Bacteroidia is significantly related to the formation of trihalomethanes, haloacetic acids, and N-nitrosamines. These findings highlight the necessity for prioritizing management policies to control biofilm formation and minimize DBP formation in DWDSs.

摘要

饮用水分配系统(DWDS)中消毒副产物(DBP)的形成受到多种因素的显著影响,包括水的物理化学性质、微生物群落组成和结构以及有机DBP前体的特性。然而,各种因素之间的相互依存关系仍不明确,特别是微生物衍生有机物对DBP形成的贡献,这一点尚未得到充分探索。在此,我们提出了一个贝叶斯网络建模框架,该框架结合了基于贝叶斯的微生物源追踪方法和激发-发射荧光光谱-平行因子分析,以捕捉影响DBP形成的关键驱动因素并探索它们之间的相互作用。结果表明,自来水中的浮游细菌和与悬浮颗粒相关的细菌主要来源于处理水中的细菌。已鉴定出蛋白质和类色氨酸荧光成分,说明它们对DBP形成的贡献不可忽视。放线菌纲、芽孢杆菌纲和拟杆菌纲的微生物丰度与三卤甲烷、卤乙酸和N-亚硝胺的形成显著相关。这些发现凸显了优先制定管理政策以控制生物膜形成并最大限度减少DWDS中DBP形成的必要性。

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