Pharmaceutically active compounds in the Xiangjiang River, China: Distribution pattern, source apportionment, and risk assessment

Sci Total Environ. 2018 Sep 15:636:975-984. doi: 10.1016/j.scitotenv.2018.04.267. Epub 2018 May 3.

Abstract

The occurrence of 36 pharmaceutically active compounds in surface water of the Xiangjiang River was investigated in two seasons (n = 38). Twenty-five of these compounds were detected, with cefotaxime (maximum concentration 830 ng L-1) the most abundant compound followed by amoxicillin (maximum concentration 710 ng L-1). The spatiotemporal distribution was observed; indicating that pollution hotspots were mostly located in economically developed and densely populated regions such as Changsha City. Lower concentrations were found in summer than winter, which may be attributed to the dilution effect of a flood event and higher water temperatures. The distribution of pharmaceuticals was significantly correlated with temperature and ammonia nitrogen content. A principal component analysis-multiple linear regression model estimated that domestic sewage was the main source of pharmaceuticals, although the source composition varied among different sampling sites. Risk assessment was conducted using both individual and mixture models for preliminary identification of potential hazards. Sulfamethoxazole, clarithromycin, and azithromycin posed a high risk to algae, while sulfamethoxazole, trimethoprim, and erythromycin-H2O showed a medium risk to invertebrates. Moreover, the mixture risk quotients calculated using a concentration addition model ranged from 0.31 to 9.60 in winter, and from 0.06 to 0.61 in summer, indicating a potential risk to the aquatic environment. This study provides scientific support to policy-makers to establish contaminant management priorities and enriches the global data on emerging contaminants.

Keywords: Mixture risks; Occurrence; Pharmaceutically active compounds; Redundancy analysis; Spatiotemporal distribution.

MeSH terms

  • Animals
  • China
  • Environmental Monitoring*
  • Risk Assessment
  • Rivers / chemistry
  • Water Pollutants, Chemical / analysis*

Substances

  • Water Pollutants, Chemical