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Source apportionment and predictable driving factors contribute to antibiotics profiles in Changshou Lake of the Three Gorges Reservoir area, China.
Mu, Yue; Tang, Bobin; Cheng, Xian; Fu, Yuanhang; Huang, Weibin; Wang, Jing; Ming, Dewang; Xing, Liangshu; Zhang, Jinzhong.
Affiliation
  • Mu Y; Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China.
  • Tang B; Technical Centre, Chongqing Customs, Chongqing 400020, PR China.
  • Cheng X; Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China.
  • Fu Y; Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China.
  • Huang W; Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China.
  • Wang J; Technical Centre, Chongqing Customs, Chongqing 400020, PR China.
  • Ming D; Technical Centre, Chongqing Customs, Chongqing 400020, PR China.
  • Xing L; Eco-Environmental Monitoring Station of Changshou District, Chongqing 401220, PR China.
  • Zhang J; Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China. Electronic address: jzhzhang@swu.edu.cn.
J Hazard Mater ; 466: 133522, 2024 03 15.
Article in En | MEDLINE | ID: mdl-38244452
ABSTRACT
Lakes, crucial antibiotic reservoirs, lack thorough exploration of quantitative relationships between antibiotics and influencing factors. Here, we conducted a comprehensive year-long investigation in Changshou Lake within the Three Gorges Reservoir area, China. The concentrations of 21 antibiotics spanned 35.6-200 ng/L, 50.3-348 ng/L and 0.57-57.9 ng/g in surface water, overlying water and sediment, respectively. Compared with abundant water period, surface water and overlying water displayed significantly high antibiotic concentrations in flat and low water periods, while sediment remained unchanged. Moreover, tetracyclines, fluoroquinolones and erythromycin posed notable risks to algae. Six primary sources were identified using positive matrix factorization model, with aquaculture contributing 21.2%, 22.7% and 25.4% in surface water, overlying water and sediment, respectively. The crucial predictors were screened through machine learning, redundancy analysis and Mantel test. Our findings emphasized the pivotal roles of water quality parameters, including water temperature (WT), pH, dissolved oxygen, electrical conductivity, inorganic anions (NO3⁻, Cl⁻ and F⁻) and metal cations (Ca, Mg, Fe, K and Cr), with WT influencing greatest. Total nitrogen (TN), cation exchange capacity, K, Al and Cd significantly impacted sediment antibiotics, with TN having the most pronounced effect. This study can promise valuable insights for environmental planning and policies addressing antibiotic pollution.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Lakes Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Lakes Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Country of publication: