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Spatial variability, source identification and risks assessment of antibiotics in multimedia of North China's largest freshwater lake using positive matrix factorization and Monte Carlo simulation

Primer Autor	Bai, Junhong
Co-autores	Zhang, Ling Zhang, Kegang Zhai, Yujia Wang, Yaqi Liu, Haizhu Xiao, Rong Jorquera, Milko A. Xia, Jiangbao
Título	Spatial variability, source identification and risks assessment of antibiotics in multimedia of North China's largest freshwater lake using positive matrix factorization and Monte Carlo simulation
Editorial	ELSEVIER
Revista	JOURNAL OF HAZARDOUS MATERIALS
Lenguaje	en
Resumen	Antibiotics are widely found in aquatic ecosystems and pose a serious threat to human and the ecological system. Samples of surface water (SW), overlying water (OW), pore water (PW) and sediments (Sedi) were collected to investigate the spatial variability, potential sources, ecological risk (RQs) and health risks (HQs) of nine common antibiotics in Baiyangdian Lake using positive matrix factorization (PMF), and Monte Carlo simulation. Signif-icant spatial autocorrelation of most antibiotics were observed in PW and Sedi samples rather than in SW and OW samples, and higher antibiotic levels were found in the northwest of waters and the southwest of sediments. Livestock (26.74-35.57%) and aquaculture (21.62-37.70%) were identified as primary sources of antibiotics in the water and sediments. Norfloxacin and roxithromycin showed high levels of RQ and HQ in more than 50% of samples, respectively. The combined RQ (& sigma,RQ) in the PW can be used as a sign of across multimedia risk. Notably, appreciable health risks were observed for the combined HQ (& sigma,HQ) in about 80% of samples, indicating the importance of taking health risk of antibiotics into consideration. The findings of this work provides a reference for antibiotics pollution control and risk management in shallow lake.
Fecha Publicación	2023
Tipo de Recurso	artículo original
doi	10.1016/j.jhazmat.2023.131751
Formato Recurso	PDF
Palabras Claves	Antibiotics Spatial variability Source identification Risk assessment Shallow lake
Ubicación del archivo	http://dx.doi.org/10.1016/j.jhazmat.2023.131751
Categoría OCDE	Ingeniería Ciencias Ambientales y Ecología
Materias	Antibióticos variabilidad espacial Identificación de fuente Evaluación de riesgos lago poco profundo
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	versión publicada
Derechos de acceso	metadata
Access Rights	metadata
Id de Web of Science	WOS:001012314500001
ISSN	0304-3894
Tipo de ruta	hibrida
Categoría WOS	Ingeniería Ciencias Ambientales y Ecología
Referencia del Financiador (Mandatado si es aplicable-repetible)	NSFC 51961125201 ANID NSFC190012 ANID 190012