Evidence map›Paper›PMID 33751381›Full record

ArticleEnvironmental science and pollution research international2021

Source apportionment of heavy metals in sediments of the urban rivers flowing into Haizhou Bay, Eastern China: using multivariate statistical analyses and Pb-Sr isotope fingerprints.

Xiaoqian Deng, Yuling Wu, Ye Liang, Longjiang Mao, Zhihai Tan, Wanzhu Feng, Yuanzhi Zhang

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoqian DengSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Yuling WuSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China. ylwu@nuist.edu.cn.ORCID http://orcid.org/0000-0002-2099-6840
Ye LiangSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Longjiang MaoSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China. mlj1214@163.com.
Zhihai TanSchool of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an, 710048, China.
Wanzhu FengSchool of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an, 710048, China.
Yuanzhi ZhangSchool of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China.

Funding

Marine Special Program of Jiangsu Province in China JSZRHYKJ202007National Natural Science Foundation of China 41771218; 41271228National Natural Science Foundation of China U1901215Startup Foundation for Introducing Talent of NUIST 2020r047
6 · The paper itself

Abstract

Urban river runoff carrying various anthropogenic sources of heavy metals (HMs) is the most important input pathways for HM pollutions in the coastal region, apportioning sources of environmental pollutants is key to controlling coastal HM pollution. In the study, surface sediments were collected from seven urban rivers flowing through Lianyungang City and discharging into Haizhou Bay, Eastern China. The concentrations of HMs of the river sediments were, in mg/kg (mean value ± standard deviation): Mn (550 ± 227) > Zn (67 ± 61) > Cr (33 ± 12) > Ni (21 ± 8.5) > Cu (16 ± 7.6) > Pb (15 ± 5.6) > Cd (0.11 ± 0.06), which were slightly to moderately polluted. As important outlets for municipal and industrial sewages, the Shawang River and Linhong River were the most polluted. Based on the multivariate statistical analysis, HMs were attributed to anthropogenic source (industrial, domestic, and agricultural discharges) and natural source (soil parent materials and atmospheric deposition). Based on isotope source apportionment, Pb was mainly from natural source, exhausts of leaded gasoline vehicles, and coal combustion, with the mean contributions of 39.3%, 23.7%, and 37.0%, respectively, and Sr originated from natural source and anthropogenic source, with mean contributions of 31.8% and 68.2%, respectively. Pb-Sr isotopes illustrated that anthropogenic inputs were the dominant source for HMs in urban river sediments flowing into Haizhou Bay, and the isotope tracing results make up the discriminating deficiency of the multivariate statistical analysis.

Indexed as

Metals, HeavyWater Pollutants, ChemicalBaysChinaCitiesEnvironmental MonitoringGeologic SedimentsIsotopesLeadRisk AssessmentRiversIsotopesLeadMetals, HeavyWater Pollutants, ChemicalHaizhou BayHeavy metalsMultivariate statistical analysesPb-Sr isotopeRiver sedimentsSource apportionment

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.