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

Yuandong Huang, Chong Xu (), Lei Li, Xiangli He, Jia Cheng, Xiwei Xu, Junlei Li and Xujiao Zhang
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Yuandong Huang: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Chong Xu: National Institute of Natural Hazards, 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
Xiangli He: National Institute of Natural Hazards, 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
Xiwei Xu: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, 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

Land, 2022, vol. 12, issue 1, 1-17

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.

Keywords: ancient landslides; remote sensing interpretation; Google Earth; GIS; spatial distribution (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2022:i:1:p:136-:d:1021741

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