Evaluating ecological risks and tracking potential factors inuencing heavy metals in sediments in an urban river Dongping Liu (
[email protected] ) CRAES https://orcid.org/0000-0002-6946-2663 Huibin Yu CRAES Hongjie Gao CRAES Weining Xu CRAES Research Keywords: heavy metals, canonical correlation analysis, principal component analysis, potential ecological risk index Posted Date: December 18th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-127445/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Environmental Sciences Europe on March 31st, 2021. See the published version at https://doi.org/10.1186/s12302-021-00487-x. 1 Evaluating ecological risks and tracking potential factors influencing heavy 2 metals in sediments in an urban river 3 4 Dongping Liu1, Huibin Yu1*, Hongjie Gao1*, Weining Xu1 5 1. Chinese Research Academy of Environmental Science, Beijing100012, P. R. 6 China.
[email protected] (D.L.);
[email protected] (W.X.) 7 * Correspondence:
[email protected] (H.Y.);
[email protected] (H.G.) 8 9 Abstract 10 Background:Heavy metal pollution of aquatic systems is a global issue that has 11 received considerable attention. Canonical correlation analysis (CCA), principal 12 component analysis (PCA), and potential ecological risk index (PERI) have been 13 applied to heavy metal data to trace potential factors, identify regional differences, and 14 evaluate ecological risks. Sediment cores of 200 cm in length were taken using a drilling 15 platform at 10 sampling sites along the Xihe River, an urban river located in western 16 Shenyang City, China, divided into 10 layers (20 cm each).