Evidence map›Paper›PMID 35627741›Full record

ArticleInternational journal of environmental research and public health2022

Heavy Metals in the Mainstream Water of the Yangtze River Downstream: Distribution, Sources and Health Risk Assessment.

Yang Jin, Quanping Zhou, Xiaolong Wang, Hong Zhang, Guoqiang Yang, Ting Lei, Shijia Mei, Hai Yang, Lin Liu, Hui Yang and 2 more

Abstract read
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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yang JinChinese Academy of Geological Sciences, Beijing 100037, China.
Quanping ZhouNanjing Center, China Geological Survey, Nanjing 210016, China.
Xiaolong WangNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Hong ZhangNanjing Center, China Geological Survey, Nanjing 210016, China.
Guoqiang YangNanjing Center, China Geological Survey, Nanjing 210016, China.
Ting LeiNanjing Center, China Geological Survey, Nanjing 210016, China.
Shijia MeiNanjing Center, China Geological Survey, Nanjing 210016, China.
Hai YangNanjing Center, China Geological Survey, Nanjing 210016, China.
Lin LiuChinese Academy of Geological Sciences, Beijing 100037, China.
Hui YangNanjing Center, China Geological Survey, Nanjing 210016, China.
Jinsong LvNanjing Center, China Geological Survey, Nanjing 210016, China.
Yuehua JiangChinese Academy of Geological Sciences, Beijing 100037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the mainstream of the Yangtze River lower reach is an important drinking water source for residents alongside it, it is essential to investigate the concentration, distribution characteristics and health risks of heavy metals in the water. In this study, a total of 110 water samples were collected on both the left and right banks from the upstream to the downstream. Principal component analysis (PCA) was used to determine the sources of heavy metals. Their non-carcinogenic and carcinogenic risks were studied with health risk assessment models, and uncertainties were determined through Monte Carlo simulation. Results showed that concentrations of all heavy metals were significantly lower than the relevant authoritative standards in the studied area. From the upstream to the downstream, Ni, Cu and Cr had similar concentration distribution rules and mainly originated from human industrial activities. Pb, Cd and Zn had a fluctuating but increasing trend, which was mainly due to the primary geochemistry, traffic pollution and agricultural activities. The maximum As concentration appeared in the upstream mainly because of the carbonatite weathering or mine tail water discharge. Concentrations of Zn, As, Cd and Pb on the left bank were higher than those on the right bank, while concentrations of Cu, Ni and Cr on the right bank were higher than those on the left bank. The non-carcinogenic risk index (HI) was less than 1 (except of L11), and HI on the left bank was higher than that on the right bank. The carcinogenic risk (CR) was generally larger than 1.0 × 10

Indexed as

Drinking WaterMetals, HeavyWater Pollutants, ChemicalAdultCadmiumEnvironmental MonitoringHumansLeadRisk AssessmentCadmiumDrinking WaterLeadMetals, HeavyWater Pollutants, Chemicaldistributiondownstreamhealth riskheavy metalMonte Carlothe Yangtze River

Identifiers

PMID35627741
PMCPMC9140839

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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.