Ecology and Environmental Sciences ›› 2025, Vol. 34 ›› Issue (9): 1452-1462.DOI: 10.16258/j.cnki.1674-5906.2025.09.012

• Research Article [Environmental Science] • Previous Articles     Next Articles

Source Analysis and Distribution Characteristics of Fecal Pollution and Dissolved Organic Matter in the Guangzhou Section of the Pearl River

JIANG Kai1,2(), KE Changdong2,3,*(), WANG Liping4, LI Penghui5, LAI Dizhi4, ZHANG Yang2, WU Yongjie2, WU Renren2, XIAO Liping1,*()   

  1. 1. School of Environment and Resources, Xiangtan University, Xiangtan 411105, P. R. China
    2. South China Institute of Environmental Sciences/Key Laboratory of Water Environment Simulation and Pollution Control, Ministry of Ecology and Environment, Guangzhou 510655, P. R. China
    3. The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education/South China University of Technology, Guangzhou 510006, P. R. China
    4. Guangzhou Ecological Environment Monitoring Center Station, Guangdong Province, Guangzhou 510655, P. R. China
    5. School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, P. R. China
  • Received:2025-01-16 Online:2025-09-18 Published:2025-09-05

珠江广州河段粪便污染和溶解有机质的来源解析及分布特征

蒋凯1,2(), 柯常栋2,3,*(), 王丽萍4, 李朋辉5, 赖迪智4, 张杨2, 吴永洁2, 吴仁人2, 肖利平1,*()   

  1. 1.湘潭大学环境与资源学院,湖南 湘潭 411105
    2.生态环境部华南环境科学研究所/生态环境部水环境模拟与污染控制重点实验室,广东 广州 510535
    3.华南理工大学/工业聚集区污染控制与生态修复教育部重点实验室,广东 广州 510006
    4.广东省广州生态环境监测中心站,广东 广州 511400
    5.中山大学海洋科学学院,广东 珠海 519082
  • 通讯作者: *柯常栋。E-mail: ke.cd@foxmail.com;肖利平。E-mail: xiaoliping@xtu.edu.cn
  • 作者简介:蒋凯(2000年生),男,硕士研究生,从事微生物污染源解析研究。E-mail: Jkai2000@126.com
  • 基金资助:
    国家自然科学基金项目(42407366);中国博士后科学基金资助项目(2024M752163);中央级公益性科研院所基本科研业务专项资助(PM-zx703-202406-165);中央级公益性科研院所基本科研业务专项资助(PM-zx703-202406-236);广州市科技计划项目(202201011440)

Abstract:

Accurately identifying the sources of fecal contamination and dissolved organic matter (DOM) pollution is critical for water quality management and maintaining ecosystem health. Fluorescence quantitative polymerase chain reaction (qPCR), three-dimensional fluorescence spectroscopy (3D-EEM), and parallel factor analysis (PARAFAC) were used to analyze the sources of fecal pollution and DOM, their distribution characteristics in the Guangzhou section of the Pearl River, and the potential relationship between them. The results showed that the average detection concentrations of the human-associated Bacteroides marker (BacHum) and crAssphage marker (CPQ_064) in the Guangzhou section of the Pearl River were (4.56±0.58) and (4.18±0.56) log10 (gene copies/100 mL), respectively. No fecal markers from other sources were detected, indicating that fecal pollution in this section of the river originated from human feces. The 3D-EEM-PARAFAC analysis identified three primary DOM components: microbially-derived humic substances (C1), tryptophan-like substances (C2), and terrestrial derived humic substances (C3). In the dry and calm seasons, DOM was predominantly derived from endogenous inputs, whereas terrestrial inputs became the main source during the wet season. During the wet season, both fecal and DOM pollution were more severe. Along the flow direction of the Guangzhou section of the Pearl River, the levels of fecal matter and DOM pollution first increased and then decreased. Pearson’s correlation analysis revealed strong and significant positive correlations between BacHum, CPQ_064, and C1, C2, and C3 (p<0.001). There was also a positive correlation between total phosphorus (TP), ammonia nitrogen (NH3-N), BacHum, and CPQ_064 (p<0.05), indicating that they exhibited pollution homology. The positive correlations between fecal markers and DOM components suggest that 3D-EEM analysis can be used as a cost-effective and timely pre-detection method for detecting fecal pollution in water. This study provides new insights into the sources, distribution, and relationships between fecal pollution and DOM in the Guangzhou section of the Pearl River and serves as a strong technical guide for water pollution control and management in this region.

Key words: fecal pollution, dissolved organic matter, pollution source analysis, distribution characteristics, Guangzhou section of Pearl River

摘要: 准确识别粪便污染与溶解有机质(DOM)污染的来源对于水质管理和生态环境健康至关重要。采用荧光定量聚合酶链式反应(qPCR)、三维荧光光谱(3D-EEM)结合平行因子分析法(PARAFAC)解析了珠江广州河段的粪便污染与DOM的来源和分布特征,以及它们之间的潜在联系。结果发现珠江广州河段人源拟杆菌标记物(BacHum)和噬菌体标记物(CPQ_064)的平均检测浓度分别为 (4.56±0.58)、(4.18±0.56) log10(gene copies/100 mL),未检测出其他宿主来源的粪便污染标记物,表明珠江广州河段的粪便污染以人源粪便污染为主。3D-EEM-PARAFAC确定了3种主要DOM组分,即微生物类腐殖质(C1),类色氨酸(C2),陆源类腐殖质(C3);DOM在枯水期和平水期主要来源于内源输入,丰水期以外源输入为主。在丰水期时粪便和DOM污染更为严重,且均沿珠江广州河段的流向呈现先递增后降低的变化趋势。利用Pearson相关性分析,发现BacHum、CPQ_064与C1、C2和C3呈强显著正相关(p<0.001),总磷(TP)、氨氮(NH3-N)与BacHum和CPQ_064均呈正相关性(p<0.05),表明它们具有污染同源性,可以利用3D-EEM分析作为粪便污染的预检测手段,能够经济、有效和及时地评估水体的粪便污染。该研究可为水体污染控制与管理提供有力的技术指导。

关键词: 粪便污染, 溶解性有机质, 污染源解析, 分布特征, 珠江广州河段

CLC Number: