Literature DB >> 26119379

Historical levels of heavy metals reconstructed from sedimentary record in the Hejiang River, located in a typical mining region of Southern China.

Shaopeng Wang1, Yinghui Wang2, Ruijie Zhang1, Weitao Wang3, Daoquan Xu3, Jing Guo3, Pingyang Li3, Kefu Yu4.   

Abstract

Historical levels of Pb, Zn, Cd, Cr, Cu, Ni, As, Fe, Al and Mn were found in C1 and C2 sediment cores from the Hejiang River, which is located in a typical mining region of Southern China, the levels date back approximately 57 and 83 years. Temporal variations in the core C1 around the mining peaked in the 1960s, after which they exhibited a decreasing trend, which reflects successful government management. Historical events such as the Pacific War and China's first 5-year economic plan were recorded in core C2, which was collected from the downstream portion of the Hejiang River. Enrichment factors (EF), geo-accumulation (Igeo), and excess flux indicate that severe contamination occurred during the period between 1956 and 1985 due to the release of high amounts of mining waste from human activities around the core C1 region. The highest EF value was displayed by As (67); this was followed by Pb (64), Cd (39), and Zn (35). In contrast, the core C2 sediments exhibited minor pollution because of dilution from tributaries (the Fu River and the Daning River) that do not flow through the mined area and because C2 was farther from the source of the metals. The results of the risk assessment codes (RAC) for both cores indicate that Cd posed a high risk to the local environment. Principal component analysis (PCA) and correlation analysis (CA) revealed that accumulation of heavy metals was mainly due to mining pollution.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  (210)Pb dating; Contamination history; Heavy metals; Hejiang River; Mining region; Sediment cores

Mesh:

Substances:

Year:  2015        PMID: 26119379     DOI: 10.1016/j.scitotenv.2015.06.035

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  The distribution and partitioning of trace metals (Pb, Cd, Cu, and Zn) and metalloid (As) in the Beijiang River.

Authors:  Rui Li; Changyuan Tang; Yingjie Cao; Tao Jiang; Jianyao Chen
Journal:  Environ Monit Assess       Date:  2018-06-14       Impact factor: 2.513

2.  Historical accumulation and ecological risk assessment of heavy metals in sediments of a drinking water lake.

Authors:  Guoqiang Wang; Xinqi Hu; Yi Zhu; Hong Jiang; Hongqi Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-21       Impact factor: 4.223

3.  Historical trends of trace metals in muddy deposit along the Zhejiang coast, East China Sea: response to economic development and hypoxia.

Authors:  Gang Xu; Jian Liu; Yanguang Dou; Jiandong Qiu; Lilei Chen
Journal:  Environ Sci Pollut Res Int       Date:  2017-11-03       Impact factor: 4.223

4.  Distribution, speciation, environmental risk, and source identification of heavy metals in surface sediments from the karst aquatic environment of the Lijiang River, Southwest China.

Authors:  Daoquan Xu; Yinghui Wang; Ruijie Zhang; Jing Guo; Wei Zhang; Kefu Yu
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-01       Impact factor: 4.223

5.  Risk Assessment and Source Identification of 17 Metals and Metalloids on Soils from the Half-Century Old Tungsten Mining Areas in Lianhuashan, Southern China.

Authors:  Li Guo; Weituo Zhao; Xiaowen Gu; Xinyun Zhao; Juan Chen; Shenggao Cheng
Journal:  Int J Environ Res Public Health       Date:  2017-11-29       Impact factor: 3.390

6.  Distribution, Source and Risk Assessment of Heavy Metal(oid)s in Water, Sediments, and Corbicula Fluminea of Xijiang River, China.

Authors:  Xuexia Huang; Dinggui Luo; Dongye Zhao; Ning Li; Tangfu Xiao; Jingyong Liu; Lezhang Wei; Yu Liu; Lirong Liu; Guowei Liu
Journal:  Int J Environ Res Public Health       Date:  2019-05-23       Impact factor: 3.390

7.  Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model.

Authors:  Yan Li; Liping Mei; Shenglu Zhou; Zhenyi Jia; Junxiao Wang; Baojie Li; Chunhui Wang; Shaohua Wu
Journal:  Int J Environ Res Public Health       Date:  2018-07-20       Impact factor: 3.390

  7 in total

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