IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14062-d1245481.html
   My bibliography  Save this article

Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image

Author

Listed:
  • Meihong Zhi

    (College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China)

  • Yun Zhu

    (College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China)

  • Ji-Cheng Jang

    (College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China)

  • Shuxiao Wang

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China)

  • Pen-Chi Chiang

    (Graduate Institute of Environmental Engineering, National Taiwan University, Taipei 10673, Taiwan
    Carbon Cycle Research Center, National Taiwan University, Taipei 10672, Taiwan)

  • Chuang Su

    (Solid Waste and Chemicals Environmental Center of Guangdong Province, Guangzhou 510308, China)

  • Shenglun Liang

    (Cloud Information and Environmental Science Technology Company Limited, Foshan 528300, China)

  • Ying Li

    (Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China)

  • Yingzhi Yuan

    (College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China)

Abstract

Tailings ponds, essential components of mining operations worldwide, present considerable potential hazards downstream in the event of tailings dam failures. In recent years, instances of tailings dam failures, carrying potential environmental safety hazards, have occasionally occurred on a global scale due to the limited technical approaches available for safety supervision of tailings ponds. In this study, an innovative WebGIS-based unmanned aerial vehicle oblique photography (UAVOP) method was developed to analyze the storage capacity change and dam failure risk of tailings ponds. Its applicability was then validated by deploying it at a tailings pond in Yunfu City, Guangdong Province, China. The results showed that the outcomes of two phases of real-scene 3D images met the specified accuracy requirements with an RSME of 0.147–0.188 m in the plane and 0.198–0.201 m along the elevation. The storage capacities of phase I and phase II tailings ponds were measured at 204,798.63 m 3 and 148,291.27 m 3 , respectively, with a storage capacity change of 56,031.51 m 3 . Moreover, the minimum flood control dam widths, minimum free heights, and dam slope ratios of the tailings pond were determined to comply with the flood control requirements, indicating a low risk of dam failure of the tailings pond. This pilot case study demonstrated the performance of the UAVOP in evaluating storage capacity change and dam failure risk for tailings ponds. It not only enhanced the efficiency of dynamic safety supervision of tailings ponds but also offered valuable references for globally analogous research endeavors.

Suggested Citation

  • Meihong Zhi & Yun Zhu & Ji-Cheng Jang & Shuxiao Wang & Pen-Chi Chiang & Chuang Su & Shenglun Liang & Ying Li & Yingzhi Yuan, 2023. "Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14062-:d:1245481
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14062/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/19/14062/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doo-Pyo Kim & Sung-Bo Kim & Ki-Suk Back, 2022. "Analysis of Mine Change Using 3D Spatial Information Based on Drone Image," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    2. Carlos Cacciuttolo & Deyvis Cano, 2023. "Spatial and Temporal Study of Supernatant Process Water Pond in Tailings Storage Facilities: Use of Remote Sensing Techniques for Preventing Mine Tailings Dam Failures," Sustainability, MDPI, vol. 15(6), pages 1-32, March.
    3. Pengfei Wu & Bing Liang & Jiaxu Jin & Kelin Zhou & Bin Guo & Zetao Yang, 2022. "Solution and Stability Analysis of Sliding Surface of Tailings Pond under Rainstorm," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    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. Carlos Cacciuttolo & Alex Marinovic, 2023. "Experiences of Underground Mine Backfilling Using Mine Tailings Developed in the Andean Region of Peru: A Green Mining Solution to Reduce Socio-Environmental Impacts," Sustainability, MDPI, vol. 15(17), pages 1-27, 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:15:y:2023:i:19:p:14062-:d:1245481. 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.