IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i1d10.1007_s11069-023-06201-9.html
   My bibliography  Save this article

Spatial analysis and hazard assessment of large-scale ancient landslides around the reservoir area of Wudongde hydropower station, China

Author

Listed:
  • Xiaoyi Shao

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    Ministry of Emergency Management of China
    Ministry of Emergency Management of China)

  • Chong Xu

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    Ministry of Emergency Management of China
    Ministry of Emergency Management of China)

  • Lei Li

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    China University of Geosciences (Beijing))

  • Zhiqiang Yang

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    Ministry of Emergency Management of China)

  • Xianglong Yao

    (China Three Gorges Corporation Science and Technology Research Institute)

  • Bo Shao

    (China Three Gorges Corporation Science and Technology Research Institute)

  • Cheng Liang

    (China Three Gorges Corporation Science and Technology Research Institute)

  • Zhiwen Xue

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    University of Chinese Academy of Sciences)

  • Xiwei Xu

    (National Institute of Natural Hazards, Ministry of Emergency Management of China
    China University of Geosciences (Beijing))

Abstract

The complex geological environment and strong tectonic movement have led to the development of a large number of ancient landslides along the Jinsha River. These landslides exhibit characteristics of large-scale, complex formation mechanisms, multiple sliding periods, and high potential hazards. In this study, we aim to construct an ancient landslide inventory and conduct potential landslide hazard assessment of the Wudongde hydropower station section and its surrounding areas, which is located in the downstream area of Jinsha River. We used the visual interpretation method to recognize large ancient landslides based on high-resolution remote sensing images on the Google Earth platform and analyzed the correlations between the landslide abundance and different influencing factors. Our results show that there were 3126 ancient landslides in the study area, covering a total area of 502.64 km2. The statistical analysis indicated that the landslide occurrence is closely related to the slope gradient and topographic relief, and the landslide abundance index increases with the increase in above two influencing factors. In addition, the ancient landslides gradually decreases with the increase in the elevation, indicating that ancient landslides are more likely to occur in lower elevation areas, i.e., lower portion of the hillslopes. In addition, combining with machine learning method (logistic regression), the potential landslide hazard assessment of the study area was calculated by the hypothetical earthquake scenario of 10% exceedance probability in 50 years. The predicted result shows that the extremely high-hazard area of landslides appeared around the hydropower station, and the high-hazard area was mainly distributed within a 5-km range along both banks of the Jinsha River. This study provides basic data and important reference for the distribution characteristics and potential hazard assessment of ancient landslides in the reservoir area of Wudongde hydropower station.

Suggested Citation

  • Xiaoyi Shao & Chong Xu & Lei Li & Zhiqiang Yang & Xianglong Yao & Bo Shao & Cheng Liang & Zhiwen Xue & Xiwei Xu, 2024. "Spatial analysis and hazard assessment of large-scale ancient landslides around the reservoir area of Wudongde hydropower station, 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. 120(1), pages 87-105, January.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:1:d:10.1007_s11069-023-06201-9
    DOI: 10.1007/s11069-023-06201-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06201-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-023-06201-9?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. Cencen Niu & Qing Wang & Jianping Chen & Wen Zhang & Liming Xu & Ke Wang, 2015. "Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
    2. Vitor Silva & Helen Crowley & Marco Pagani & Damiano Monelli & Rui Pinho, 2014. "Development of the OpenQuake engine, the Global Earthquake Model’s open-source software for seismic risk assessment," 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. 72(3), pages 1409-1427, July.
    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. Afiqah Ismail & Ahmad Safuan A. Rashid & Talal Amhadi & Ramli Nazir & Masyhur Irsyam & Lutfi Faizal, 2024. "Exploring the Evolution of Seismic Hazard and Risk Assessment Research: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(7), pages 1-23, March.
    2. Ryan Paulik & Nick Horspool & Richard Woods & Nick Griffiths & Tim Beale & Christina Magill & Alec Wild & Benjamin Popovich & Glenn Walbran & Russel Garlick, 2023. "RiskScape: a flexible multi-hazard risk modelling engine," 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. 119(2), pages 1073-1090, November.
    3. Jong-Hwa Park & Myoungsu Shin & Gi-Hyoug Cho, 2016. "A dynamic estimation of casualties from an earthquake based on a time-use survey: applying HAZUS-MH software to Ulsan, Korea," 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. 81(1), pages 289-306, March.
    4. Ruth M. J. Amey & John R. Elliott & C. Scott Watson & Richard Walker & Marco Pagani & Vitor Silva & Ekbal Hussain & Kanatbek E. Abdrakhmatov & Sultan Baikulov & Gulkaiyr Tilek Kyzy, 2023. "Improving urban seismic risk estimates for Bishkek, Kyrgyzstan, through incorporating recently gained geological knowledge of hazards," 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. 116(1), pages 365-399, March.
    5. Guangliang Feng & Guoqing Xia & Bingrui Chen & Yaxun Xiao & Ruichen Zhou, 2019. "A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    6. Jong-Hwa Park & Myoungsu Shin & Gi-Hyoug Cho, 2016. "A dynamic estimation of casualties from an earthquake based on a time-use survey: applying HAZUS-MH software to Ulsan, Korea," 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. 81(1), pages 289-306, March.
    7. Ceferino, Luis & Kiremidjian, Anne & Deierlein, Gregory, 2018. "Probabilistic space- and time-interaction modeling of main-shock earthquake rupture occurrence," Earth Arxiv e9wsu, Center for Open Science.
    8. Ciro Apollonio & Gabriella Balacco & Antonio Novelli & Eufemia Tarantino & Alberto Ferruccio Piccinni, 2016. "Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    9. Chen Cao & Peihua Xu & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China," IJERPH, MDPI, vol. 14(1), pages 1-19, December.
    10. Yan Li & Jianguo Wang & Keping Ju & Shengyun Wei & Zhinan Wang & Jian Hu, 2024. "Assessing the Susceptibility of the Xiangka Debris Flow Using Analytic Hierarchy Process, Fuzzy Comprehensive Evaluation Method, and Cloud Model," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
    11. Ghazanfar Ali Anwar & Mudasir Hussain & Muhammad Zeshan Akber & Mustesin Ali Khan & Aatif Ali Khan, 2023. "Sustainability-Oriented Optimization and Decision Making of Community Buildings under Seismic Hazard," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    12. Du, Ao & Wang, Xiaowei & Xie, Yazhou & Dong, You, 2023. "Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs – An earthquake engineering perspective," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    13. Peizhen Li & Tangzhenhao Li & Zheng Lu & Jin Li, 2017. "Study on Dynamic Response of Novel Masonry Structures Impacted by Debris Flow," Sustainability, MDPI, vol. 9(7), pages 1-22, June.
    14. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
    15. Sotirios A. Argyroudis & Stavroula Fotopoulou & Stella Karafagka & Kyriazis Pitilakis & Jacopo Selva & Ernesto Salzano & Anna Basco & Helen Crowley & Daniela Rodrigues & José P. Matos & Anton J. Schle, 2020. "A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe," 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. 100(2), pages 595-633, January.
    16. Anže Babič & Matjaž Dolšek & Jure Žižmond, 2021. "Simulating Historical Earthquakes in Existing Cities for Fostering Design of Resilient and Sustainable Communities: The Ljubljana Case," Sustainability, MDPI, vol. 13(14), pages 1-21, 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:120:y:2024:i:1:d:10.1007_s11069-023-06201-9. 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.