Literature DB >> 23725497

Influence of e-waste dismantling and its regulations: temporal trend, spatial distribution of heavy metals in rice grains, and its potential health risk.

Jianjie Fu1, Aiqian Zhang, Thanh Wang, Guangbo Qu, Junjuan Shao, Bo Yuan, Yawei Wang, Guibin Jiang.   

Abstract

Enhanced regulations, centralized dismantling processes, and sophisticated recycling technologies have been implemented in some e-waste dismantling areas in China with regard to environmental and economic aspects since 2005. In this study, rice grain samples were collected from 2006 to 2010 in an e-waste dismantling area to investigate the temporal trends and spatial distribution of As, Cd, Cu, and Pb. Geometric means of As, Cd, Cu, and Pb in rice samples from the e-waste dismantling area were 111, 217, 4676, and 237 ng g(-1), respectively. Levels of Pb showed a significant decreasing trend during the sampling period, whereas the other three elements remained relatively constant or even increased. Concentrations of Cd, Cu, and Pb in the e-waste dismantling area were significantly higher than those in the non-e-waste dismantling area (p < 0.05), which showed a close connection between e-waste dismantling activities and elevated Pb, Cu, and Cd contents. Risk assessment for human via rice consumption indicated that over 60% of the hazard quotient of Cd exceeded 1 in the e-waste dismantling area. Our study implied that stricter implementation of regulatory measures might lead to positive effects in controlling the release of some heavy metals to the environment. However, environmental behaviors differed with geochemical characteristics of individual elements. Further remediation actions to reduce heavy metal pollution to the surrounding environment might still be needed.

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Year:  2013        PMID: 23725497     DOI: 10.1021/es304903b

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  10 in total

1.  Environmental risk assessment of CRT and PCB workshops in a mobile e-waste recycling plant.

Authors:  Qingbin Song; Xianlai Zeng; Jinhui Li; Huabo Duan; Wenyi Yuan
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-23       Impact factor: 4.223

2.  Comparison of soil heavy metal pollution caused by e-waste recycling activities and traditional industrial operations.

Authors:  Kailing He; Zehang Sun; Yuanan Hu; Xiangying Zeng; Zhiqiang Yu; Hefa Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2017-02-23       Impact factor: 4.223

3.  An exposure-risk assessment for potentially toxic elements in rice and bulgur.

Authors:  Sait C Sofuoglu; Aysun Sofuoglu
Journal:  Environ Geochem Health       Date:  2017-04-10       Impact factor: 4.609

4.  Relationship between e-waste recycling and human health risk in India: a critical review.

Authors:  Abhishek Kumar Awasthi; Xianlai Zeng; Jinhui Li
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-16       Impact factor: 4.223

5.  The arsenic contamination of rice in Guangdong Province, the most economically dynamic provinces of China: arsenic speciation and its potential health risk.

Authors:  Kai Lin; Shaoyou Lu; Jun Wang; Yuyi Yang
Journal:  Environ Geochem Health       Date:  2014-10-07       Impact factor: 4.609

6.  Contamination and spatial variation of heavy metals in the soil-rice system in Nanxun County, Southeastern China.

Authors:  Keli Zhao; Weijun Fu; Zhengqian Ye; Chaosheng Zhang
Journal:  Int J Environ Res Public Health       Date:  2015-01-28       Impact factor: 3.390

Review 7.  A Review of Biomarkers Used for Assessing Human Exposure to Metals from E-Waste.

Authors:  Aubrey L Arain; Richard L Neitzel
Journal:  Int J Environ Res Public Health       Date:  2019-05-21       Impact factor: 3.390

8.  Heavy Metal Contamination in Rice-Producing Soils of Hunan Province, China and Potential Health Risks.

Authors:  Fanfu Zeng; Wei Wei; Mansha Li; Ruixue Huang; Fei Yang; Yanying Duan
Journal:  Int J Environ Res Public Health       Date:  2015-12-08       Impact factor: 3.390

9.  Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors.

Authors:  Yibo Tang; Meiling Liu; Xiangnan Liu; Ling Wu; Bingyu Zhao; Chuanyu Wu
Journal:  Int J Environ Res Public Health       Date:  2020-03-27       Impact factor: 3.390

10.  Temporal Characteristics of Stress Signals Using GRU Algorithm for Heavy Metal Detection in Rice Based on Sentinel-2 Images.

Authors:  Yu Zhang; Meiling Liu; Li Kong; Tao Peng; Dong Xie; Li Zhang; Lingwen Tian; Xinyu Zou
Journal:  Int J Environ Res Public Health       Date:  2022-02-23       Impact factor: 3.390

  10 in total

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