Emission and fate of antibiotics in the Dongjiang River Basin, China: Implication for antibiotic resistance risk

Abstract

Antibiotics used for human and veterinary purposes are released into the environment, resulting in potential adverse effects, including the development and spread of antibiotic resistant bacteria. Here we investigated the dynamic fate of 36 antibiotics in a large river basin Dongjiang in South China, and discussed their potential antibiotic resistance selection risk. Based on the usage, excretion rate, wastewater treatment rate, human population and animal numbers the emissions of 36 frequently detected antibiotics were estimated for the Dongjiang River Basin. The total usage of the 36 antibiotics in the basin was 623.4 tons, which included 37% for human use and the rest for veterinary purposes. After being metabolized and partially treated, the amount of antibiotics excreted and released into the environment decreased to 267.6 tons. By allocating the high-precision antibiotic discharge inventory to 42 sewage plants and 17 livestock farms, an improved GREAT-ER (Geography referenced Regional Exposure Assessment Tool for European Rivers) model for the Dongjiang River Basin, with a well calibration river flow network based on the SWAT (Soil and Water Assessment Tool), was established to simulate the dynamic fate of 36 antibiotics. The simulation results showed that antibiotics contaminated >50% of the river sections. The modelled concentrations in water were almost within an order of magnitude of the measured concentrations. Antibiotic contamination in the dry season was obviously higher than that in the wet season. The concentrations of the antibiotics were always higher at the discharge zones and lower reaches of the river basin than the other reaches. The antibiotic resistance risk assessment showed that 23 out of the 36 antibiotics (nearly 65%) could pose high risks in the river basin. For those river reaches with high risks, the risk levels could mostly be reduced to low risk levels with a certain distance (15 km) from the pollution source. Therefore, more attention should be paid to those impact zones in term of antibiotic resistance.

Keywords: Antibiotic resistance; Antibiotics; Dynamic fate; Emission; GREAT-ER model.