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Inventory and Spatial Distribution of Ancient Landslides in Hualong County, China

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  • Yuandong Huang

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China
    School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

  • Chong Xu

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China)

  • Lei Li

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China
    School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiangli He

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China)

  • Jia Cheng

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China
    School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiwei Xu

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China
    School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

  • Junlei Li

    (School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xujiao Zhang

    (School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

The establishment of a regional historical landslide inventory plays an indispensable role in landslide assessment and prevention. In this study, based on the Google Earth platform, an inventory of ancient landslides in Hualong County, Qinghai Province was established. The inventory includes 3517 ancient landslides with individual areas ranging from 2354.6 m 2 to 12.44 km 2 . The dominant characteristics include an elevation of 2600–2800 m, slope of 10–20°, aspects SW, W, and NW, mudstone and sandstone of Paleoproterozoic, Neoproterozoic and Quaternary loess, 8–10 km from faults, 0–1 km from rivers, cultivated and grassland types, NDVI of 0.25–0.3, and an average precipitation in the range of 480–500 mm. In addition, the geometric analysis of landslides shows that the average height and length of ancient landslides in the study area are 151.92 m and 429.52 m, respectively. The power law relationship between the two is L = 0.41 × H 1.37 . The ancient landslide inventory of this study exhibits an integrated pattern of the development characteristics and spatial distribution of landslides in the Tibetan Plateau and the upper Yellow River basin, as well as providing a significant reference for subsequent landslide susceptibility mapping in the area.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:136-:d:1021741
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    References listed on IDEAS

    as
    1. 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.
    2. Marko Sinčić & Sanja Bernat Gazibara & Martin Krkač & Hrvoje Lukačić & Snježana Mihalić Arbanas, 2022. "The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments," Land, MDPI, vol. 11(8), pages 1-37, August.
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    Cited by:

    1. 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.

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