

FOLLOWUS
School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266237, China
Yu YU, E-mail: yuyu@qau.edu.cn
Received:24 July 2020,
Accepted:09 September 2020,
Online First:02 November 2020,
Published:2021-09
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Yu YU, Yingxia LI, Bing LI, et al. Identification and quantification of lead source in sediment in the northern East China Sea using stable lead isotopes[J]. Journal of Oceanology and Limnology, 2021, 39(5): 1887-1900.
Yu YU, Yingxia LI, Bing LI, et al. Identification and quantification of lead source in sediment in the northern East China Sea using stable lead isotopes[J]. Journal of Oceanology and Limnology, 2021, 39(5): 1887-1900. DOI: 10.1007/s00343-020-0286-0.
Stable Pb isotopes in surface and core sediments were determined to identify the sources of Pb contaminants in the northern East China Sea (ECS). The Bayesian stable isotope mixing model was used to quantify the contributions of Pb sources. The results show that since the late 1980s
ratios of
207
Pb/
206
Pb and
208
Pb/
206
Pb increased in the top 34-cm sediment shown in the coastal core samples
reflecting elevated anthropogenic Pb input in coastal sea. Seaward increase of
207
Pb/
206
Pb and
208
Pb/
206
Pb ratios in surface sediments reveals that anthropogenic Pb came mainly via atmospheric transmission into the ECS. Anthropogenic sources accounted for 12.0%-21.1% of the total Pb in sediments after the 1990s. Coal combustion was the largest anthropogenic contributor (47.5%±18.8%)
and Pb mining and smelting
cement production
and vehicle exhaust/gasoline contributed 23.2%±17.1%
19.0%±13.0%
and 10.3%±6.9%
respectively. The proportions of the anthropogenic sources gradually increased while geogenic source (riverine sediment) decreased from the coast to the outer shelf. This study demonstrated that the significant influence of atmospheric input of Pb contaminants into the ECS
and also the urgent need to control coal combustion and Pb discharge from industrial dust and fume emission in China. It also highlights the promising application of the Simmr model to quantify the proportions of multiple sources of trace elements in an environment.
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