Source-specific risk apportionment and critical risk source identification of antibiotic resistance in Fenhe River basin, China

被引:23
|
作者
Wang, Yifan [1 ]
Wang, Linfang [2 ]
Liu, Ruimin [1 ]
Li, Lin [1 ]
Cao, Leiping [1 ]
Jiao, Lijun [1 ]
Xia, Xinghui [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, 19 Xinjiekouwai St, Beijing 100875, Peoples R China
[2] Shanxi Res Acad Environm Sci, 11 Xinghua St, Taiyuan 030027, Peoples R China
基金
中国国家自然科学基金;
关键词
Antibiotics; Resistance risk; Positive matrix factorization; Source-specific risk apportionment; Critical risk source identification; Fenhe river basin; AROMATIC-HYDROCARBONS PAHS; WATER TREATMENT PLANTS; WASTE-WATER; YANGTZE-RIVER; HEAVY-METALS; VETERINARY ANTIBIOTICS; AQUATIC ENVIRONMENT; AGRICULTURAL SOILS; SURFACE SEDIMENTS; ROAD DUST;
D O I
10.1016/j.chemosphere.2021.131997
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A comprehensive understanding of the sources and distribution of antibiotic resistance risk is essential for controlling antibiotic pollution and resistance. Based on surface water samples collected from the Fenhe River basin in the flood season, using the positive matrix factorization (PMF) model, the risk quotient (RQ) method and the multiple attribute decision making (MADM) method, the resistance risk and source-specific resistance risk of antibiotics were analyzed in this study. The results showed that sulfonamides (SAs) were the dominant antibiotics with a mean concentration of 118.30 ng/L, whereas tetracyclines (TCs) and macrolides (MLs) had the highest detection frequencies (100%). The significant resistance risk rate of antibiotics in the entire river basin was 48%, but no high risk occurred. The significant resistance risk rate of quinolones (QNs) was the highest (100%), followed by that of MLs and TCs. Owing to human activities, the most serious resistance risk occurred in the midstream of the river basin. The resistance risk was the lowest upstream. The antibiotics were mainly contributed by six sources. Pharmaceutical wastewater was the main source, accounting for 30%, followed by livestock discharge (22%). The resistance risk from the six sources showed clear differences, but none of the sources caused a high risk of antibiotic resistance. Pharmaceutical wastewater poses the greatest risk of antibiotic resistance in the Fenhe River basin and is widely distributed. The second greatest source was livestock discharge, which was mainly concentrated in the upstream and midstream areas. The critical sources upstream, midstream, and downstream were all pharmaceutical wastewater, whereas the sequences of other sources were different because different areas were affected by different human activities. The proposed method might provide an important reference for the identification the key source of antibiotics and management of antibiotic pollution, as well as help for the management of antibiotics in Fenhe and Shanxi Province.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Heavy metal pollution of road dust in a city and its highly polluted suburb; quantitative source apportionment and source-specific ecological and health risk assessment
    Heidari, Mohsen
    Darijani, Tooba
    Alipour, Vali
    [J]. CHEMOSPHERE, 2021, 273
  • [42] Contamination, Ecological Risk and Source Apportionment of Heavy Metals in the Surface Sediments in the Hailar River, the Upper Source of the Erguna River between China and Russia
    Xie, Yufeng
    Huo, Xiaodong
    Hu, Chuanhai
    Tao, Yuqiang
    [J]. SUSTAINABILITY, 2023, 15 (04)
  • [43] Distribution, source apportionment, and ecological risk assessment of soil antibiotic resistance genes in urban green spaces
    Meng, Zirui
    Mo, Xunqiang
    Xue, Qing
    Wang, Ziyi
    Lu, Xueqiang
    Liu, Jie
    Ma, Qinqin
    Sparks, Jed P.
    He, Mengxuan
    [J]. ENVIRONMENTAL RESEARCH, 2024, 251
  • [44] Source apportionment and risk assessment of PAHs in Brisbane River sediment, Australia
    Duodu, Godfred Odame
    Ogogo, Kenneth Nduka
    Mummullage, Sandya
    Harden, Fiona
    Goonetilleke, Ashantha
    Ayoko, Godwin A.
    [J]. ECOLOGICAL INDICATORS, 2017, 73 : 784 - 799
  • [45] Occurrence, Distribution, Environmental Risk Assessment and Source Apportionment of Polycyclic Aromatic Hydrocarbons (PAHs) in Water and Sediments of the Liaohe River Basin, China
    Yangwei Bai
    Wei Meng
    Jian Xu
    Yuan Zhang
    Changsheng Guo
    Jiapei Lv
    Jun Wan
    [J]. Bulletin of Environmental Contamination and Toxicology, 2014, 93 : 744 - 751
  • [46] Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China
    WEN Xiaohu
    LI Leiming
    WU Jun
    LU Jian
    SHENG Danrui
    [J]. Journal of Arid Land, 2023, 15 (11) : 1355 - 1375
  • [47] A comprehensive analysis on source-specific ecological risk of metal(loid)s in surface sediments of mangrove wetlands in Jiulong River Estuary, China
    Yan, Yu
    Wan, Rui-an
    Yu, Rui-lian
    Hu, Gong-ren
    Lin, Cheng-qi
    Huang, Hua-bin
    [J]. CATENA, 2022, 209
  • [48] Source apportionment and specific risk assessment of heavy metals in sediment: Application to the Typical Bay, China
    Cheng, Jiayi
    Wang, Xiaomeng
    Kong, Lingna
    Li, Yuxia
    Han, Jianbo
    Zhang, Xiaoxia
    [J]. REGIONAL STUDIES IN MARINE SCIENCE, 2022, 54
  • [49] Occurrence, Distribution, Environmental Risk Assessment and Source Apportionment of Polycyclic Aromatic Hydrocarbons (PAHs) in Water and Sediments of the Liaohe River Basin, China
    Bai, Yangwei
    Meng, Wei
    Xu, Jian
    Zhang, Yuan
    Guo, Changsheng
    Lv, Jiapei
    Wan, Jun
    [J]. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2014, 93 (06) : 744 - 751
  • [50] Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China
    Xiaohu Wen
    Leiming Li
    Jun Wu
    Jian Lu
    Danrui Sheng
    [J]. Journal of Arid Land, 2023, 15 : 1355 - 1375