Analysis of the Composition,Sources and Spatio-Temporal Change of Organic Matter in the Upper Reaches of the Qiantang River Based on Non-targeted Analysis Technology
The complex composition and dispersed sources of water pollutants require effective chemical identifications,multiple source apportionment,and exploration of significant transport pathways,all of which are key to guarantee a safe water environment.Qiantang River serves as an important water source for western Zhejiang region.Five sites were set up at the Qujiang River,Jinhua River and Lanjiang River in the upper reaches of Qiantang River and samples were collected continuously for five days.Non-targeted screening technology was used to identify the full organic composition of the samples,construct the fingerprint spectrum of organic matter spectrum in water body,and identify the composition,source and transport path of organic matter in the upper reaches of Qiantang River during dry season.The results showed that there were 16 kinds of 77 organic compounds,and the detection rate was above 90%in all sites,among which siloxanes had the largest number of species and the largest proportion of relative peak area.Through the characteristic analysis and principalcomponent analysis,combined with the industrial distribution along the rivers,it was suggested that the organic pollutants probably originated from the use of personal care products as domestic sources,the manufacture and use of textiles,medicines,pesticides,and materials as industrial sources,and the use of pesticides as agricultural sources.Side-by-side comparisons of organic compositions and relative abundance in Qujiang River and Jinhua River with those detected in Lanjiang River revealed that significant amounts of pollutants follow the route from Qujiang River to Lanjiang River especially in the daytime.In addition,the pollution sources along the Lanjiang River contributed as well.
upstream of the Qiantang Riverorganic fingerprintingnon-targeted screeninggas chromatography mass spectrometry
万方数据
维普
