IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i11p2141-d119658.html
   My bibliography  Save this article

Health Risk Assessment of Vegetables Grown on the Contaminated Soils in Daye City of Hubei Province, China

Author

Listed:
  • Jun Yang

    (Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
    Institute of Environmental Management and Policy, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Fuhong Lv

    (Institute of Environmental Management and Policy, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Jingcheng Zhou

    (Institute of Environmental Management and Policy, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Yongwei Song

    (Institute of Environmental Management and Policy, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Fei Li

    (Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

China is an agriculturally-producing country and the safety of its vegetables will have an extensive attention at home and abroad. Recently, contamination of soils and vegetables caused by mining activities is of great social concern because of the potential risk to human health, especially to the residents whom live near metal or metalloid mines. In this study, 18 topsoil and 141 vegetable samples were collected from the contaminated areas in Daye City Hubei Province, China and the concentrations of copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd) and lead (Pb) were analyzed. A self-designed questionnaire was assigned to obtain the exposure scenario and the USEPA health risk assessment model was adopted to assess two type of risks (non-carcinogenic risks and carcinogenic risks) of vegetables to humans. The results showed that the average contents of metal(loid)s in soils exceeded the background value of Daye City. The average contents of metal(loid)s, especially As, Cd, Pb, in three kinds of vegetables were significantly higher than the permissible values based on Chinese national standard. Leafy vegetables had relatively higher concentrations and the transfer factors of As (0.015), Cd (0.080) and Pb (0.003) were comparable to leguminous and fruit vegetables. Leguminous vegetables had relatively higher concentrations and transfer factors of Cu (0.032) and Zn (0.094) than leafy and fruit vegetables. The transfer factors from soil to plants follows a decreasing order as Cd (0.068), Zn (0.047) > Cu (0.023) > As (0.006), Pb (0.002). Furthermore, health risk assessment revealed the following results: the non-carcinogenic risk decreased in the order of children, adult, adolescent, while the carcinogenic risk followed a decreasing order of adult, adolescent, children; the calculated carcinogenic and non-carcinogenic risk of the metal(loid)s by vegetable consumption decreased in the order of leafy vegetables > fruit vegetables > leguminous vegetables. The relatively lower transfer factors and lower risks may suggest that leguminous and fruit vegetables are more suitable for planting in Daye City. Based on the contributions of five kinds of metal(loid)s from three types of vegetables, Cd and As are found to be the dominant sources of health risk.

Suggested Citation

  • Jun Yang & Fuhong Lv & Jingcheng Zhou & Yongwei Song & Fei Li, 2017. "Health Risk Assessment of Vegetables Grown on the Contaminated Soils in Daye City of Hubei Province, China," Sustainability, MDPI, vol. 9(11), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2141-:d:119658
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/11/2141/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/11/2141/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Petru Cârdei & Cătălina Tudora & Valentin Vlăduț & Mirabela Augustina Pruteanu & Iuliana Găgeanu & Dan Cujbescu & Despina-Maria Bordean & Nicoleta Ungureanu & George Ipate & Oana Diana Cristea, 2021. "Mathematical Model to Simulate the Transfer of Heavy Metals from Soil to Plant," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    2. Ayanda N. Shabalala & Phumelele D. Ngwenya & Moses Timana, 2022. "Heavy Metal Contamination and Health Risk of Soils and Vegetables Grown Near a Gold Mine Area: A Case Study of Barberton, South Africa," Academic Journal of Chemistry, Academic Research Publishing Group, vol. 8(3), pages 197-207, 07-2022.
    3. Asma Shaheen & Javed Iqbal, 2018. "Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    4. Zhen Wang & Jianguo Bao & Tong Wang & Haseeb Tufail Moryani & Wei Kang & Jin Zheng & Changlin Zhan & Wensheng Xiao, 2021. "Hazardous Heavy Metals Accumulation and Health Risk Assessment of Different Vegetable Species in Contaminated Soils from a Typical Mining City, Central China," IJERPH, MDPI, vol. 18(5), pages 1-18, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ordoñez, Pablo J., 2020. "Power Plants, Air Pollution, and Health in Colombia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304284, Agricultural and Applied Economics Association.
    2. Jia Zhang & Xiaoshu Chen & Shiwei Huang & Yi Wang & Wei Lin & Rui Zhou & He Zou, 2018. "Two-minute walk test: Reference equations for healthy adults in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    3. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    4. Zhen Wang & Mingzhi Hu & Yu Zhang & Zhuo Chen, 2022. "Housing Security and Settlement Intentions of Migrants in Urban China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    5. Yanjun Yang & Rui Xue & Dong Yang, 2020. "Does market segmentation necessarily discourage energy efficiency?," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
    6. Yishu, Li, 2019. "A photovoltaic ecosystem: improving atmospheric environment and fighting regional poverty," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 69-79.
    7. Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    8. Huimin Du & Jing Song & Si-ming Li, 2021. "‘Peasants are peasants’: Prejudice against displaced villagers in newly-built urban neighbourhoods in China," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1598-1614, June.
    9. Luyao Wang & Hong Fan & Yankun Wang, 2018. "Estimation of consumption potentiality using VIIRS night-time light data," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Pengyu Chen & Guanglin He & Xing Zou & Mengge Wang & Fuquan Jia & Huiru Bai & Jida Li & Jian Yu & Yanyan Han, 2018. "Forensic characterization and genetic polymorphisms of 19 X-chromosomal STRs in 1344 Han Chinese individuals and comprehensive population relationship analyses among 20 Chinese groups," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-21, September.
    11. Ling Zhang & Xiaodong Tan, 2021. "Educational Assortative Mating and Health: A Study in Chinese Internal Migrants," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    12. Bin Du & Ying Wang & Jiaxin He & Wai Li & Xiaohong Chen, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    13. Dianxi Wang & Yufeng Zhao, 2021. "A potential new pattern of pathway to adulthood is emerging in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(42), pages 1023-1056.
    14. JIANG, Qijun & FLORKOWSKI, Wojciech Jan, 2021. "Factors Limiting Quality Assurance Program Implementation In Food Manufacturing Companies In Shanghai, China," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
    15. Jinjing Wu & Shelby Deaton & Boshen Jiao & Zohn Rosen & Peter A Muennig, 2018. "The cost-effectiveness analysis of the New Rural Cooperative Medical Scheme in China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    16. Xin Lao & Hengyu Gu, 2020. "Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1860-1876, December.
    17. Youliang Jin & Chen Cheng & Huixiang Zeng, 2020. "Is evil rewarded with evil? The market penalty effect of corporate environmentally irresponsible events," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 846-871, March.
    18. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    19. Jin Liu & Bingdong Hou & Xiao-Wei Ma & Hua Liao, 2018. "Solid fuel use for cooking and its health effects on the elderly in rural China," CEEP-BIT Working Papers 111, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2141-:d:119658. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.