The concentration levels of 39 antibiotics, including sulfonamides (SAs), quinolones (QUs), tetracyclines (TCs), macrolides (MLs), and penicillins (PLs), in the surface water of Luoma Lake, and its main inflow rivers were analyzed using SPE-UPLC-MS/MS. The contribution rates of pollution of major rivers entering the lake were analyzed, and the potential ecological and health risks of antibiotics were assessed. The results showed that (antibiotics)in 42 sampling sites was between 30.10 ng·L and 582.37 ng·L, and a total of four classes of 23 antibiotics were detected. Among them, the average detection concentration of enrofloxacin (ERX) was the highest (88.05 ng·L), and the detection rate of lincomycin (LIN) was the highest (100%). The average concentration of antibiotics in the northern region of Luoma Lake was higher than that in the south, and among the two main rivers entering the lake, Yihe River was the main river contributing to the pollution of antibiotics in Luoma Lake, with a contribution rate of 53.91%. The results of risk assessment showed that ERX had the largest risk quotient. For the cumulative risk quotient (RQ), RQ of L6, R30, R31, R32, R33, and R42 was between 0.1 and 1, which is considered medium risk, and RQ of other points was>1, which is considered high risk. The health risk assessment of 11 antibiotics showed that the health risk quotient (RQ) of adults and children ranged from 4.16×10 to 2.46×10, and there was no health risk to the human body.
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http://dx.doi.org/10.13227/j.hjkx.202106087 | DOI Listing |
Environ Manage
January 2025
Key Laboratory of Integrated Regulation and Resources Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public health worldwide, highlighting the urgent need for advanced predictive methodologies. As impounded lakes along the Eastern Route of the South-to-North Water Diversion Project, Lakes Hongze and Luoma play a key role in water resource management, making the prediction of cyanobacterial blooms in these lakes particularly important. To address this, satellite remote sensing data were utilized to analyze the spatiotemporal dynamics of cyanobacterial blooms in these lakes.
View Article and Find Full Text PDFEnviron Res
December 2024
Institute for Smart City of Chongqing University in Liyang, Chongqing University, Jiangsu, 213300, China; College of Environment and Ecology, Chongqing University, Chongqing, 400045, China.
Environ Pollut
December 2024
Jiangsu Engineering Laboratory for Environment Functional Materials, School of Chemistry and Chemical Engineering, Huaiyin Normal University, Huai'an, 223300, China.
Sci Total Environ
November 2024
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, PR China.
Solving the challenges faced during the measurement of the cross-interface transfer of perfluoroalkyl acids (PFAAs) in lakes is crucial for clarifying environmental behaviours of these chemicals and their efficient governance. This study developed a multimedia fugacity model based on the quantitative water-air-sediment interaction (QWASI) covering abiotic/biotic matrices to investigate the cross-interface transfer and fate of PFAAs in Luoma Lake, a typical PFAA-contaminated shallow lake in eastern China. The accuracy and reliability of the established model were confirmed using Percent bias and Monte Carlo simulation, respectively.
View Article and Find Full Text PDFSci Total Environ
June 2024
Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, PR China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, PR China.
The dynamics and exposure risk behaviours of antibiotic resistance genes (ARGs) in the sediments of water-diversion lakes remain poorly understood. In this study, spatiotemporal investigations of ARG profiles in sediments targeting non-water (NWDP) and water diversion periods (WDP) were conducted in Luoma Lake, a typical water-diversion lake, and an innovative dynamics-based risk assessment framework was constructed to evaluate ARG exposure risks to local residents. ARGs in sediments were significantly more abundant in the WDP than in the NWDP, but there was no significant variation in their spatial distribution in either period.
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