IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v76y2015i2p1019-1038.html
   My bibliography  Save this article

The impacts of mining exploitation on the environment in the Changchun–Jilin–Tumen economic area, Northeast China

Author

Listed:
  • Yu Zhang
  • Wen-xi Lu
  • Qing-chun Yang

Abstract

The Changchun–Jilin–Tumen economic area is the center of the Old Northeastern Industrial Base with substantial mineral resource in Northeast China. Historical mining exploitation has caused extensive impact on environment. The objective of this study was to quantitatively evaluate the impact induced by mining activities in 106 mining sites and then find out the most significant factors contributing to the environmental damage. The affected environment components were divided into fifteen impacting factors, and environmental assessment was performed by using developed Folchi methods which was combined with adaptive Takagi–Sugeno fuzzy neural network (TSFNN). Correspondence analysis was adopted to explore the effects of the impacting factor on mining environment. Through the comparison with Improved Analytic Hierarchy Process, 96.23 % of evaluation results are the same. Our results showed that TSFNN model can effectively assess impacts of mining exploitation in three categories: slight, moderate, and heavy. The assessment result shows that 64.15 % mining sites are moderately damaged, while 7.5 % are heavily damaged. For all factors studied, environmental geological problem is the dominant factor in Environmental Impact Assessment, accounting for 56.67 % of the weight-wise including geological disasters, environmental pollution, and resources destruction. The anthropic factor exerts a more considerable influence on environment than natural factor. With mining exploitation, geological disaster is the main threat to the mountains in southeast, but environmental pollution and resources destruction are the main threats to the central plains. The assessment and analysis results can provide useful insights in the decision-making process for national authorities in the prioritization of environmental remediation and protection. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Yu Zhang & Wen-xi Lu & Qing-chun Yang, 2015. "The impacts of mining exploitation on the environment in the Changchun–Jilin–Tumen economic area, Northeast China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 1019-1038, March.
  • Handle: RePEc:spr:nathaz:v:76:y:2015:i:2:p:1019-1038
    DOI: 10.1007/s11069-014-1533-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1533-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-014-1533-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ximin Cui & Yongge Gao & Debao Yuan, 2014. "Sudden surface collapse disasters caused by shallow partial mining in Datong coalfield, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 911-929, November.
    2. C. Loupasakis & V. Angelitsa & D. Rozos & N. Spanou, 2014. "Mining geohazards—land subsidence caused by the dewatering of opencast coal mines: The case study of the Amyntaio coal mine, Florina, Greece," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 675-691, January.
    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. Hai-Min Lyu & Jack Shuilong Shen & Arul Arulrajah, 2018. "Assessment of Geohazards and Preventative Countermeasures Using AHP Incorporated with GIS in Lanzhou, China," Sustainability, MDPI, vol. 10(2), pages 1-21, January.
    2. Xiaoyang Liu & Zhongke Bai & Huading Shi & Wei Zhou & Xiaocai Liu, 2019. "Heavy metal pollution of soils from coal mines in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1163-1177, November.

    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. Subhash Chandra & Isha Medha & Jayanta Bhattacharya & Kumar Raja Vanapalli & Biswajit Samal, 2022. "Effect of the Co-Application of Eucalyptus Wood Biochar and Chemical Fertilizer for the Remediation of Multimetal (Cr, Zn, Ni, and Co) Contaminated Soil," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    2. Weitao Yan & Junjie Chen & Wenfu Yang & Xiaosong Liu & Wenwen Wang & Wenkai Zhang, 2022. "On-Site Measurement on Surface Disturbance Law of Repeated Mining with High Relief Terrain," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    3. Yaokun Fu & Jianxuan Shang & Zhenqi Hu & Pengyu Li & Kun Yang & Chao Chen & Jiaxin Guo & Dongzhu Yuan, 2021. "Ground Fracture Development and Surface Fracture Evolution in N00 Method Shallowly Buried Thick Coal Seam Mining in an Arid Windy and Sandy Area: A Case Study of the Ningtiaota Mine (China)," Energies, MDPI, vol. 14(22), pages 1-18, November.
    4. Hamidreza Gharechaee & Aliakbar Nazari Samani & Shahram Khalighi Sigaroodi & Abolfazl Baloochiyan & Maryam Sadat Moosavi & Jason A. Hubbart & Seyed Mohammad Moein Sadeghi, 2023. "Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran," Land, MDPI, vol. 12(4), pages 1-20, April.
    5. Xue Wang & Kun Tan & Kailei Xu & Yu Chen & Jianwei Ding, 2019. "Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China," IJERPH, MDPI, vol. 16(3), pages 1-18, February.
    6. Qingbiao Guo & Guangli Guo & Yingming Li & Lei Wang & Xingwang Zhao, 2019. "Stability Evaluation of an Expressway Construction Site above an Abandoned Coal Mine Based on the Overlay and Index Method," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    7. Kaizong Xia & Congxin Chen & Kuoyu Yang & Haina Zhang & Hansong Pang, 2020. "A case study on the characteristics of footwall ground deformation and movement and their mechanisms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1039-1077, October.
    8. Paschalis D. Koutalakis & Ourania A. Tzoraki & Georgios I. Prazioutis & Georgios T. Gkiatas & George N. Zaimes, 2021. "Can Drones Map Earth Cracks? Landslide Measurements in North Greece Using UAV Photogrammetry for Nature-Based Solutions," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    9. Xiaoyang Liu & Zhongke Bai & Huading Shi & Wei Zhou & Xiaocai Liu, 2019. "Heavy metal pollution of soils from coal mines in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1163-1177, November.
    10. Yafei Yuan & Guangli Guo & Cheng Huang & Yu Chen & Huaizhan Li & Hui Zheng & Yonghua Hu, 2024. "Breakage Patterns of High-Level Thick Weakly Cemented Overburden for Coal Safe and Sustainable Mining," Sustainability, MDPI, vol. 16(13), pages 1-16, July.
    11. Yuejuan Chen & Jin Zhang & Anchao Zhou & Bo Yin, 2018. "Modeling and analysis of mining subsidence disaster chains based on stochastic Petri nets," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 19-41, May.
    12. Chunyi Li & Laizhong Ding & Ximin Cui & Yuling Zhao & Yihang He & Wenzhi Zhang & Zhihui Bai, 2022. "Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function," Energies, MDPI, vol. 15(14), pages 1-20, July.

    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:spr:nathaz:v:76:y:2015:i:2:p:1019-1038. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.