Contamination profiles of 11 kinds of perfluorinated compounds (PFCs) were analyzed by using ultra high performance liquid chromatography-triple quadrupole mass spectrometry in water and sediment samples of Hanjiang River in dry and wet seasons. The results showed that 11 kinds of PFCs were all detected. The total concentrations of PFCs in water and sediment were 0.3-23.04 ng/L, 0-55.1 ng/g in dry season and 0.16-19.68 ng/L, 0.99-85.07 ng/g in wet season. The maximum concentration of PFCs was detected in Wuhan where Hanjiang River feeds into Yangtze River. Meanwhile,Wuhan had the highest concentration of perfluorooctanoic acid (PFOA) with 22.52 ng/L in dry season and 12.52 ng/L in wet season. Perfluoroheptanoic acid (PFHpA) and perfluorohexanoic acid (PFHxA) were the dominant PFCs in sediment and the highest total concentration of PFCs was detected in Taocha. There was little difference in the concentration composition of ∑PFCs in sediment in both seasons. The risk quotient method was used for the ecological risk assessment of PFOA, perfluorooctane sulfonic acid (PFOS), perfluorononanoic acid (PFNA), PFHxA and perfluorodecanoic acid (PFDA) in water, and PFOA and PFOS in sediment based on the measured environmental concentration (MEC) and the predicted non-effect concentration (PNEC) of target pollutants.The assessment results suggest that the above PFCs in water and sediment of Hanjiang River posed no ecological risk to environment.

Heavy metal contamination is one of the most concerned global environmental problems and the soil heavy metal contamination is especially severe in lead-zinc mining areas in China. In order to study the soil fungal community composition changes responding to different degree of heavy metal pollution, soil samples from the lead-zinc mine field of Yunnan Mengnuo were studied. 5 samples from the heavy metal pollution soil (HP) and other 4 from the low pollution (LP), based on the cluster analysis of heavy metal contents and the physical and chemical properties of the sample were analyzed. Genomic DNA of the soil samples were extracted and the Internal Transcribed Spacer (ITS) genes were sequenced by the high-through sequencing Illumina MiSeq. The fungal communities at different taxonomic levels (Phylum, Class, Order, Family, Genus and Species) were compared. In HP samples, the abundance of unclassified fungi were the highest, then followed by Aspergillus, Un--s-Clavulinaceae sp. and Un--s-fungal sp. ARIZ L453 respectively. In LP samples, the unclassify fungi were also high, but less than HP. The relative abundance of fungi from high to low was Geastrum, Aspergillus and Mortierella. The Representational Difference Analysis (RDA) showed that different heavy metals influence fungal community diversity and the concentrations of Pb was significantly correlated with fungal community.