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    Investigating Regions Vulnerable to Recurring Landslide Damage Using Time Series-Based Susceptibility Analysis: Case Study for Jeolla Region, Republic of Korea

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    https://www.riss.kr/link?id=A108896600

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    As abnormal weather events due to climate change continue to rise, landslide damage is also increasing. Given the substantial time and financial resources required for post-landslide recovery, it becomes imperative to formulate a proactive response plan. In this regard, landslide susceptibility analysis has emerged as a valuable tool for establishing preemptive measures against landslides. Accordingly, this study conducted an annual landslide susceptibility analysis using the history of landslides that occurred over many years in the Jeolla region, and analyzed areas with a high potential for landslides in the Jeolla region. The analysis employed an ensemble model that amalgamated 10 data-based models, aiming to mitigate uncertainties associated with a single-model approach. Furthermore, based on the cumulative data regarding landslide susceptible areas, this research identified regions vulnerable to recurring landslide damage in Jeolla region and proposed specific strategies for utilizing this information at various levels, including local government initiatives, adaptation plan development, and development approval processes. In particular, this study outlined approaches for local government utilization, the determination of adaptation plan types, and considerations for development permits. It is anticipated that this research will serve as a valuable opportunity to underscore the significance of information concerning regions vulnerable to recurring landslide damage.
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    As abnormal weather events due to climate change continue to rise, landslide damage is also increasing. Given the substantial time and financial resources required for post-landslide recovery, it becomes imperative to formulate a proactive response pl...

    As abnormal weather events due to climate change continue to rise, landslide damage is also increasing. Given the substantial time and financial resources required for post-landslide recovery, it becomes imperative to formulate a proactive response plan. In this regard, landslide susceptibility analysis has emerged as a valuable tool for establishing preemptive measures against landslides. Accordingly, this study conducted an annual landslide susceptibility analysis using the history of landslides that occurred over many years in the Jeolla region, and analyzed areas with a high potential for landslides in the Jeolla region. The analysis employed an ensemble model that amalgamated 10 data-based models, aiming to mitigate uncertainties associated with a single-model approach. Furthermore, based on the cumulative data regarding landslide susceptible areas, this research identified regions vulnerable to recurring landslide damage in Jeolla region and proposed specific strategies for utilizing this information at various levels, including local government initiatives, adaptation plan development, and development approval processes. In particular, this study outlined approaches for local government utilization, the determination of adaptation plan types, and considerations for development permits. It is anticipated that this research will serve as a valuable opportunity to underscore the significance of information concerning regions vulnerable to recurring landslide damage.

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    참고문헌 (Reference)

    1 이성재 ; 마호섭, "중부권역의 산사태발생 특성분석" 농업생명과학연구원 53 (53): 61-72, 2019

    2 박종민 ; 마호섭 ; 강원석 ; 오경원 ; 박성학 ; 이성재, "전라북도 지역의 산사태발생 특성분석" 농업생명과학연구원 44 (44): 9-20, 2010

    3 마호섭 ; 정원옥, "우리나라 국립공원지역의 산사태 발생특성 분석" 한국산림과학회 96 (96): 611-619, 2007

    4 박창용 ; 최영은 ; 권영아 ; 권재일 ; 이한수, "남한 상세 기후변화 시나리오를 이용한 아열대 기후대 및극한기온사상의 변화에 대한 연구" 한국지역지리학회 19 (19): 600-614, 2013

    5 Korea Meteorological Administration, "Weather data of Republic of Korea (2009∼2018)"

    6 Korea Forest Service, "Vegetation map (2009∼2018b)"

    7 Korea Forestry Promotion Institute(KOFPI), "The 7th National Forest Resources Survey and Forest Health and Vitality Survey(2016~2020)" KOFPI 2020

    8 Lee JH, "Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution" 18 : 321-338, 2021

    9 Korea Forest Service, "Status of residents and damage from landslides in landslide-prone areas in the past five years"

    10 Huang Y, "Review on landslide susceptibility mapping using support vector machines" 165 : 520-529, 2018

    1 이성재 ; 마호섭, "중부권역의 산사태발생 특성분석" 농업생명과학연구원 53 (53): 61-72, 2019

    2 박종민 ; 마호섭 ; 강원석 ; 오경원 ; 박성학 ; 이성재, "전라북도 지역의 산사태발생 특성분석" 농업생명과학연구원 44 (44): 9-20, 2010

    3 마호섭 ; 정원옥, "우리나라 국립공원지역의 산사태 발생특성 분석" 한국산림과학회 96 (96): 611-619, 2007

    4 박창용 ; 최영은 ; 권영아 ; 권재일 ; 이한수, "남한 상세 기후변화 시나리오를 이용한 아열대 기후대 및극한기온사상의 변화에 대한 연구" 한국지역지리학회 19 (19): 600-614, 2013

    5 Korea Meteorological Administration, "Weather data of Republic of Korea (2009∼2018)"

    6 Korea Forest Service, "Vegetation map (2009∼2018b)"

    7 Korea Forestry Promotion Institute(KOFPI), "The 7th National Forest Resources Survey and Forest Health and Vitality Survey(2016~2020)" KOFPI 2020

    8 Lee JH, "Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution" 18 : 321-338, 2021

    9 Korea Forest Service, "Status of residents and damage from landslides in landslide-prone areas in the past five years"

    10 Huang Y, "Review on landslide susceptibility mapping using support vector machines" 165 : 520-529, 2018

    11 Hong WP, "Prediction of rainfall-triggered landslides in Korea" 6 : 55-63, 1990

    12 Wu X, "Landslide susceptibility prediction using GIS and PSO-SVM" 41 : 665-671, 2016

    13 Kim HG, "Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea" 12 : 2328-2351, 2021

    14 You HC, "KFS-P36: Using CCGIS vulnerability assessment of climate change of forest in Jeonnam province" 64-, 2014

    15 Kim SW, "Heavy rain types for triggering shallow landslides in South Korea" 60 : 243-249, 2015

    16 Voigt S, "Global trends in satellite-based emergency mapping" 353 : 247-252, 2016

    17 Korea Institute of Geoscience and Mineral Resources, "Geology map"

    18 이명진 ; 이사로 ; 전성우 ; 김근한, "GCI(Geospatial Correlative Integration) 및 확률강우량을 고려한 인제지역 산사태 취약성도 작성" 한국환경연구원 12 (12): 21-47, 2013

    19 Kim KS, "Four-year monitoring study of shallow landslide hazards based on hydrological measurements in a weathered granite soil slope in South Korea" 13 : 2330-, 2021

    20 Korea Forest Service, "Digital forest map (2009∼2018a)"

    21 National Geographic Information Institute, "Digital elevation model (2009∼2018)"

    22 Azarafza M, "Deep learning-based landslide susceptibility mapping" 11 : 24112-, 2021

    23 Central Disaster and Safety Countermeasures Headquarters, "Damage restoration plan"

    24 Sung HM, "Changes in thermal stress in Korea using climate-based indicators : present-day and future projections from 1 km high resolution scenarios" 20 : 6694-, 2023

    25 Kim HG, "Assessing the cost of damage and effect of adaptation to landslides considering climate change" 10 : 1628-, 2018

    26 Park CM, "Analysis on characteristics of forest disaster and restoration methods by typhoon ‘Rusa’ in Muju-gun, Jeonbuk" 3 : 81-102, 2005

    27 National Emergency Management Agency, "2010 Disaster annual report" National Emergency Management Agency 2011

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