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Sensors and Materials, Volume 33, Number 10 (2021)
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Published in advance: June 30, 2021
Published: June 30, 2021

Urbanized Area Landslide Susceptibility Assessment Using Time-series Analysis: A Case Study in Gyeongsangnam-do, Republic of Korea [PDF]

Ho Gul Kim

(Received March 30, 2021; Accepted June 23, 2021)

Keywords: landslide damage, traffic area, priority for adaptation measures, spatial distribution model, forest adjacent areas

Landslide damage has occurred in many countries, and research on landslide susceptibility assessment is being actively conducted in response. In Gyeongsangnam-do (Gyeongnam), Republic of Korea (ROK), landslides are frequent, making it imperative that high-susceptibility areas are identified to reduce damage and loss of life. The purpose of this study was therefore to establish a predictive model for landslide-susceptible areas and identify urbanized locations exposed to a high risk of landslides on an ongoing basis. This study led to landslide locations for the previous nine years being precisely identified and a composite occurrence map being created. Landslide location changes over time were confirmed, and repetition patterns were identified. Relationships between landslide locations and urbanized areas were analyzed, which allowed high-susceptibility traffic areas, residential areas, and public facilities to be identified, and their characteristics analyzed. The results of this study can be applied to reduce property damage and prevent loss of life from landslides in the ROK. Its methodology can also be used as a landslide susceptibility analysis framework and as a guide for establishing countermeasures in urbanized areas worldwide with significant landslide susceptibility. This study emphasizes the need for periodic landslide sensing and monitoring, and illustrates the importance of collecting information on locations where landslides occur as material for landslide research.

Corresponding author: Ho Gul Kim

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