Distribution and risk assessment of trace metals in riverine surface sediments in gold mining area

Author:

Song Jiangmin,Liu Qunqun,Sheng Yanqing

Funder

National Natural Science Foundation of China

Chinese Academy of science

the Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference61 articles.

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2. Birch, G. F., & Apostolatos, C. (2013). Use of sedimentary metals to predict metal concentrations in black mussel (Mytilus galloprovincialis) tissue and risk to human health (Sydney estuary, Australia). Environmental Science and Pollution Research, 20, 5481–5491. https://doi.org/10.1007/s11356-013-1538-8 .

3. Caeiro, S., Costa, M. H., Ramos, T. B., Fernandes, F., Silveira, N., Coimbra, A., Medeiros, G., & Painho, M. (2005). Assessing heavy metal contamination in Sado Estuary sediment: an index analysis approach. Ecological Indicators, 5, 151–169. https://doi.org/10.1016/j.ecolind.2005.02.001 .

4. Cai, L., Xu, Z., Bao, P., He, M., Dou, L., Chen, L., Zhou, Y., & Zhu, Y. G. (2015). Multivariate and geostatistical analyses of the spatial distribution and source of arsenic and heavy metals in the agricultural soils in Shunde, Southeast China. Journal of Geochemical Exploration, 148, 189–195. https://doi.org/10.1016/j.gexplo.2014.09.010 .

5. Cai, Y. B., Mi, Y. T., Yu, J., & Zhang, H. (2016). Arsenic speciation and kinetic release simulation of stream sediment contaminated by gold mining. Journal of Soils and Sediments, 16, 1121–1129. https://doi.org/10.1007/s11368-015-1334-9 .

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