Fourteen sediment samples from 15 river estuaries and six sediments from 6 drinking water resource were collected from Taihu Lake. Nine pharmaceutical and personal care products(PPCPs) in the sediments samples were measured by using the HPLC-MS/MS technique. The ranges of geometric mean values were 1.60-129 ng·g-1 and 1.36-22.0 ng·g-1, respectively. Caffeine was the dominant pollutant in fourteen sediments near the river estuary, the content of which covered 52% of amounts of 9 PPCPs. Lincomycin, trimethoprime, azithromycin, sulfamethoxazole and tylosin were the dominant pollutants in six sediments near the drinking water resource, the contents of which covered 79% of amounts 9 PPCPs. From the point of spatial distribution, the results of PPCPs in Zhushan bay and East of Yixing in the northwest and west of Taihu Lake showed higher concentration than those in other sample sites. From the composition, the origin of PPCPs was different. Municipal sewage, stock farming and aquaculture were the main sources of PPCPs in Taihu Lake. Pharmaceuticals of human use showed the dominant pollution in fourteen sediments near the river estuary and drugs of veterinary use showed the dominant pollution in six sediments near the water resource. The concentrations of PPCPs in fourteen sediments of river mouth showed high level. It suggested that PPCPs pollutants were discharged to Taihu Lake continuously. Further risk assessment results showed that the overall risk was not high except for some PPCPs compounds. The RQ exceeded 1 for acetaminophen, azithromycin and sulfamethoxazole in the surface sediments of 15 river estuaries and 6 water resources, which showed high risk. The RQ was between 0.01 to 0.1 for carbazepine in the surface sediments of 15 river estuaries and 6 water resources, which showed medium risk. The RQ was below 0.01 for caffeine, lincomycin, trimethoprim, diltiazem and tylosin in the sediments of 15 river estuaries and 6 water resources, which showed low risk.
Keywords: PPCPs; Taihu Lake; potential risk; sediment; spatial and temporal distribution characteristics.