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Multivariate statistical evaluation of dissolved heavy metals and a water quality assessment in the Lake Aha watershed, Southwest China
Author(s) -
Shilin Gao,
Zhuhong Wang,
Qixin Wu,
Jie Zeng
Publication year - 2020
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.9660
Subject(s) - watershed , acid mine drainage , environmental science , water quality , heavy metals , hazard quotient , aquatic ecosystem , hydrology (agriculture) , china , drainage , sewage , environmental chemistry , environmental engineering , geology , geography , ecology , chemistry , archaeology , geotechnical engineering , machine learning , computer science , biology
Heavy metals are of public concern in aquatic ecosystems due to their growing release from industries and mining activities. This study investigated the sources, temporal-spatial distributions and water quality of dissolved heavy metals (Mn, Co, Al, Ni, Ba, V, Sb, Fe, Sr) in the Lake Aha watershed, an area under the influence of sewage and acid mining drainage. These heavy metals displayed significant spatial and temporal variabilities. The water quality index results (WQI values ranged from 3.21 to 15.64) and health risk assessment (all hazard indexes are below 1) indicated that dissolved heavy metals in this study pose a low risk for human health. Correlation analysis and principal component analysis indicated that Fe and Sr mainly presented a natural geological feature in the study area, and Mn, Co, Al and Ni were influenced by the acid coal mine drainage, whereas Ba, V and Sb were under the impact of local industrial or medical activities. This study provides new insights into the risk assessment of heavy metals in small watersheds. Subjects Aquatic and Marine Chemistry, Biogeochemistry, Environmental Contamination and Remediation, Environmental Impacts

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