IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2433-d334771.html
   My bibliography  Save this article

Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China

Author

Listed:
  • Xiaoyi Shao

    (Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China
    Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China)

  • Siyuan Ma

    (Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China)

  • Chong Xu

    (Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China
    Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China)

  • Lingling Shen

    (Beijing Meteorological Information Center, Beijing Meteorological Service, Beijing 100089, China)

  • Yongkun Lu

    (Yunnan Earthquake Agency, Kunming 650224, China)

Abstract

Inventorying landslides in mountainous areas is of great importance for prevention of geologic hazards. This study aimed to establish a detailed landslide inventory of Baoshan City, Yunnan Province, China, based on a large set of high-resolution satellite images from Google Earth. The landslides of this region were divided into two groups, i.e., recent landslides and old landslides. The spatial distribution and geometric characteristics of the two kinds of landslides were analyzed, respectively. Results show that 2427 landslides are present in the study area, including 2144 recent landslides and 283 old landslides with a total area of 7.2 km 2 and 97.6 km 2 , respectively. The recent landslides occurred primarily at steep slopes with higher elevation, while old landslides took place at gentle terrains. For the slope position, most landslides, whether old or recent, cluster near ridges. The lower boundary of the recent landslides is far away from the valley, while the accumulation area of the old landslide is closer to the valley. The H/L (height to length) ratios are basically the same for all landslides, ranging from 0.2 to 0.5. Old landslides have larger mobility, as their travel distances are longer than recent landslides at the same height. The results would be helpful for further understanding the development and spatial distribution of the landslides in Southwest China, and also provide essential support for the subsequent landslide susceptibility mapping and geologic hazard assessment in this area.

Suggested Citation

  • Xiaoyi Shao & Siyuan Ma & Chong Xu & Lingling Shen & Yongkun Lu, 2020. "Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2433-:d:334771
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2433/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2433/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dalia Kirschbaum & Robert Adler & Yang Hong & Stephanie Hill & Arthur Lerner-Lam, 2010. "A global landslide catalog for hazard applications: method, results, and limitations," 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. 52(3), pages 561-575, March.
    2. Siyuan Ma & Chong Xu, 2019. "Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6.6 earthquake," 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. 96(1), pages 389-412, March.
    3. Valeria Lupiano & Valeria Rago & Oreste G. Terranova & Giulio Iovine, 2019. "Landslide inventory and main geomorphological features affecting slope stability in the Picentino river basin (Campania, southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 15(2), pages 131-141, July.
    4. Maurizio Lazzari & Dario Gioia & Bernardino Anzidei, 2018. "Landslide inventory of the Basilicata region (Southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 14(2), pages 348-356, November.
    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. Yuandong Huang & Chong Xu & Lei Li & Xiangli He & Jia Cheng & Xiwei Xu & Junlei Li & Xujiao Zhang, 2022. "Inventory and Spatial Distribution of Ancient Landslides in Hualong County, China," Land, MDPI, vol. 12(1), pages 1-17, December.
    2. Chenchen Xie & Yuandong Huang & Lei Li & Tao Li & Chong Xu, 2023. "Detailed Inventory and Spatial Distribution Analysis of Rainfall-Induced Landslides in Jiexi County, Guangdong Province, China in August 2018," Sustainability, MDPI, vol. 15(18), pages 1-17, September.

    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. Weidong Wang & Jiaying Li & Xia Qu & Zheng Han & Pan Liu, 2019. "Prediction on landslide displacement using a new combination model: a case study of Qinglong landslide 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. 96(3), pages 1121-1139, April.
    2. Xiang-Zhou Xu & Hong-Wu Zhang & Wen-Long Wang & Chao Zhao & Qiao Yan, 2015. "Quantitative monitoring of gravity erosion using a novel 3D surface measuring technique: validation and case study," 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. 75(2), pages 1927-1939, January.
    3. Derly Gómez & Edwin F. García & Edier Aristizábal, 2023. "Spatial and temporal landslide distributions using global and open landslide databases," 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. 117(1), pages 25-55, May.
    4. Fanyu Zhang & Jianbing Peng & Xiaowei Huang & Hengxing Lan, 2021. "Hazard assessment and mitigation of non-seismically fatal landslides 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. 106(1), pages 785-804, March.
    5. Elias Garcia-Urquia & Kennet Axelsson, 2014. "The use of press data in the development of a database for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005," 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. 73(2), pages 237-258, September.
    6. Elin Spegel & Kristina Ek, 2022. "Valuing the Impacts of Landslides: A Choice Experiment Approach," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 163-181, March.
    7. Thomas Stanley & Dalia B. Kirschbaum, 2017. "A heuristic approach to global landslide susceptibility mapping," 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. 87(1), pages 145-164, May.
    8. George Gaprindashvili & Cees Westen, 2016. "Generation of a national landslide hazard and risk map for the country of Georgia," 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. 80(1), pages 69-101, January.
    9. Jeevan R. Kulkarni & Sneha S. Kulkarni & Mitali U. Inamdar & Nitin M. Tamhankar & Spandan B. Waghmare & Kiran R. Thombare & Paresh S. Mhetre & Tanuja Khatavkar & Yashodhan Panse & Amey Patwardhan & Yo, 2022. "“Satark”: Landslide Prediction System over Western Ghats of India," Land, MDPI, vol. 11(5), pages 1-23, May.
    10. Muhammad Basharat & Muhammad Tayyib Riaz & M. Qasim Jan & Chong Xu & Saima Riaz, 2021. "A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges," 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. 108(1), pages 1-30, August.
    11. Zongxing Zou & Tao Luo & Qinwen Tan & Junbiao Yan & Yinfeng Luo & Xinli Hu, 2023. "Dynamic determination of landslide stability and thrust force considering slip zone evolution," 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. 118(1), pages 31-53, August.
    12. G. Sakkas & I. Misailidis & N. Sakellariou & V. Kouskouna & G. Kaviris, 2016. "Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis," 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. 84(3), pages 1873-1904, December.
    13. Tyas Mutiara Basuki & Hunggul Yudono Setio Hadi Nugroho & Yonky Indrajaya & Irfan Budi Pramono & Nunung Puji Nugroho & Agung Budi Supangat & Dewi Retna Indrawati & Endang Savitri & Nining Wahyuningrum, 2022. "Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review," Sustainability, MDPI, vol. 14(16), pages 1-41, August.
    14. Fhatuwani Sengani & François Mulenga, 2020. "Application of Limit Equilibrium Analysis and Numerical Modeling in a Case of Slope Instability," Sustainability, MDPI, vol. 12(21), pages 1-33, October.
    15. Sheng Ma & Jian Chen & Saier Wu & Yurou Li, 2023. "Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    16. T. N. Singh & Rajbal Singh & Bhoop Singh & L. K. Sharma & Rajesh Singh & M. K. Ansari, 2016. "Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India," 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(3), pages 2019-2030, April.
    17. Pukar Amatya & Corey Scheip & Aline Déprez & Jean-Philippe Malet & Stephen L. Slaughter & Alexander L. Handwerger & Robert Emberson & Dalia Kirschbaum & Julien Jean-Baptiste & Mong-Han Huang & Marin K, 2023. "Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti," 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. 118(3), pages 2337-2375, September.
    18. Stephen R. Sobie, 2020. "Future changes in precipitation-caused landslide frequency in British Columbia," Climatic Change, Springer, vol. 162(2), pages 465-484, September.
    19. Luigi Spalluto & Antonio Fiore & Maria Nilla Miccoli & Mario Parise, 2021. "Activity maps of multi-source mudslides from the Daunia Apennines (Apulia, southern Italy)," 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. 106(1), pages 277-301, March.
    20. Kushanav Bhuyan & Kamal Rana & Joaquin V. Ferrer & Fabrice Cotton & Ugur Ozturk & Filippo Catani & Nishant Malik, 2024. "Landslide topology uncovers failure movements," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    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:12:y:2020:i:6:p:2433-:d:334771. 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.