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整合微生物群落动态和新出现的污染物 (ECs) 以精确量化地下水中受畜牧业影响的来源

Kai Liu¹, Jinrong Qiu², Chih-Huang Weng³

¹College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, China.

Journal of hazardous materials

|May 23, 2025

概括

这项研究追踪了从畜牧场到地下水的新兴污染物 (EC),揭示了这些污染物如何改变微生物群落. 它改进了一种用于识别牲畜污染源的方法,有助于保护地下水的努力.

科学领域:

环境科学环境科学
微生物学微生物学
水的质量水的质量

背景情况:

畜牧业是新兴污染物 (EC) 的重要来源,可以污染地下水.
在大型畜牧业运营中,有效管理和追踪EC的来源至关重要,但研究不足.
来自畜牧业的地下水污染对生态系统和人类健康构成风险.

研究的目的:

描述各种畜牧场附近的地下水中的新出现的污染物 (EC).
分析ECs对地下水微生物群落的影响.
通过微生物源追踪,识别和量化畜牧业污染源.

主要方法:

从肉,乳制品,水产养殖和养猪场的地下水进行了调查.
抗生素和激素 (ECs) 的特征水平.
使用了微生物源追踪 (FEAST) 算法的快速预期-最大化.

主要成果:

来自不同畜牧场的不同EC档案显著改变了地下水微生物群落.
ECs增强了源生物标志物的独特性,提高了FEAST的准确性.
即使使用混合地下水样本,也可以准确识别牲畜污染源.

结论:

这项研究提供了强有力的证据,用于准确的EC源追踪受畜牧业影响的地下水.
这些发现支持制定与畜牧业有关的地下水污染有效控制措施.
改进的微生物源追踪方法对于管理农业环境污染物至关重要.

关键词:

新出现的污染物 (ECs)微生物源追踪的快速预期-最大化 (FEAST)地下水的地下水.畜牧养殖畜牧养殖畜牧养殖微生物社区的微生物社区.污染源的分配方法污染源的分配方法

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