• Title/Summary/Keyword: 재해취약지수

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Review of Research Trends on Landslide Hazards (산사태 재해 관련 학술동향 분석)

  • Kim, J.H.;Kim, W.Y.
    • The Journal of Engineering Geology
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    • v.23 no.3
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    • pp.305-314
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    • 2013
  • Recent international and national research trends in landslide hazards were analyzed by performing a literature search of relevant scientific journals. For obtaining data from Korea, we used 'Information for Environmental Geology' (IEG), which covers 17 journals in the field of environmental geology. A total of 54 articles related to landslide hazards were found in 5 journals published in the period 2000-2012. The most common topic was landslide prediction or susceptibility (29 articles), followed by landslide mechanisms. For international information, we analyzed 1,851 articles from the 'Web Of Science' published from 2003 to the present. Researchers in Italy have published the greatest number of papers in this field, while papers from Korea rank first in terms of the citation index.

Landslide Susceptibility Mapping Using Deep Neural Network and Convolutional Neural Network (Deep Neural Network와 Convolutional Neural Network 모델을 이용한 산사태 취약성 매핑)

  • Gong, Sung-Hyun;Baek, Won-Kyung;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1723-1735
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    • 2022
  • Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

Seismic Reliability Assessment of the Korean 345 kV Electric Power Network considering Parallel Operation of Transformers (변압기의 병렬 운전을 고려한 국내 345kV 초고압 전력망의 지진 재해 신뢰성 평가)

  • Park, Won-Suk;Park, Young-Jun;Cho, Ho-Hyun;Koh, Hyun-Moo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.10 no.3 s.49
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    • pp.13-20
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    • 2006
  • Substations in electric power transmission network systems (EPTS) operate using several transformers in parallel to increase the efficiency in terms of stability of energy supply. We present a seismic reliability assessment method of EPTS considering the parallel operation of transformers. Two methods for damage state model are compared in this paper: bi-state and multi-damage model. Simulation results showed that both models yielded similar network reliability indices and the reliability indices of the demand nodes using hi-state model exhibited higher damage probability. Particularly, the corresponding EENS (Expected Energy Not Supplied) index was significantly larger than that of the multi-damage state.

Applicability of frequency based flood risk map for flood risk assessment (홍수위험도 평가를 위한 빈도별 홍수위험지도의 적용성에 관한 연구)

  • Yujin Kang;Won-joon Wang;Seongcheol Shin;Daegun Han;Soojun Kim;Hung Soo Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.105-105
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    • 2023
  • 최근 기후변화로 인해 매년 집중호우 및 태풍으로 인한 침수피해가 증가하고 있다. 현재 국내에서는 이러한 피해를 줄이기 위해 구조적 대책뿐만 아니라 치수사업의 의사결정을 지원할 수 있는 비구조적 대책들이 대두되고 있다. 비구조적 대책으로는 재해예방사업 등에서 투자우선순위를 결정할 수 있는 다차원법, 홍수취약성지수 등과 같은 정량적, 정성적 홍수위험도 평가가 대표적이다. 하지만 기존 시군구별 홍수위험도 평가는 빈도별 홍수위험지도의 침수면적을 반영하지 않았었다. 따라서 본 연구에서는 서울특별시를 대상으로 빈도별(50, 80, 100 및 200년) 설계홍수량에 따른 홍수위험지도를 작성하고 IBA(Indicator Based Assessment) 방법을 활용한 홍수위험도 평가를 실시하였다. 홍수위험지수는 4가지 항목(Hazard, Exposure, Vulnerability 및 Capacity)과 8개의 세부지표로 구성하였다. 분석결과, 송파구와 성동구는 100년 빈도, 용산구와 강남구는 80년 빈도와 100년 빈도에서 홍수위험지수의 순위 변동이 관측되었다. 순위 변동이 발생한 주요 원인으로는 홍수위험도 평가에 반영된 Exposure 및 Vulnerability 항목에 포함된 세부지표별 지수가 시군구 내 빈도별 침수면적이 변화함에 따라 증가 혹은 감소했기 때문이었다. 본 연구를 활용하면 빈도별 침수면적 변화에 따른 시군구별 홍수위험도를 파악할 수 있으며, 그에 따른 예방책 또한 마련할 수 있을 것이다. 그리고 공간분석을 통해 도출된 통계지도를 활용하여 홍수위험에 직접적으로 노출된 건물 및 인구 밀집지역을 파악하고, 해당 지역을 대상으로 치수사업을 전개할 수 있을 것으로 판단된다.

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Development of Index of Park Derivation to Promote Inclusive Living SOC Policy (포용적 생활 SOC 정책 추진을 위한 공원결핍지수 개발 연구)

  • Kim, Yong-Gook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.5
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    • pp.28-40
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    • 2019
  • In order to resolve the imbalances in the supply of living SOCs according to socio-economic status, location, and population groups, the discussions on inclusive city policies are expanding. The purpose of this study is to propose an Index of Park Derivation (IPD) as an alternative indicator for the promotion of an inclusive urban park policy that can be applied in the 7 major metropolitan cities to select a region with a relatively high park needs. The main research results are as follows. First, the concept of an inclusive urban park policy is defined as "a policy to supply to manage high-quality park services with priority given to areas with low socio-economic and environmental status, such as a large amount of elderly, children, low-income families, areas vulnerable to disasters, such as heat and fine dust, and population groups." Second, we developed the index of park derivation (IPD), which is a combination of 17 variables including park service level, demographic characteristics, economic and educational level, health level, and environmental vulnerability. The variables that constitute the index of park deprivation (IPD) can be applied to SOC policies outside the parks, such as sports facilities, daycare centers, kindergartens, and public libraries. Third, applying index of park deprivation (IPD) to 1,148 Eup/Myeon/dong areas of the 7 metropolitan cities resulted in areas with relatively high park service needs. This study implies that the central and the local government suggest an alternative index to promote an inclusive urban park policy based on statistical and geographical information and data that can be easily accessed and utilized.

A Study on Characteristics Analysis of Swell Wave Accidents and the Establishment of Countermeasures in the East Coast (동해안 너울 사고 특성 분석 및 대응방안 수립)

  • Hwang, Soon-Mi;Oh, Hyeong-Min;Kang, Tae-Soon;Nam, Soo-Yong
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.30 no.6
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    • pp.235-241
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    • 2018
  • In this study, we collected cases of accidents caused by swell in the east coast of Korea from 2013 to 2017. The location of the accident, the season, the type of coast and the type of damage were classified and the correlation between the accident and the wave data was analyzed by collecting the observation data of the nearby area at the time of the accident. Also, based on the results of the coastal disaster vulnerability assessment of Korea Hydrographic and Oceanographic Agency, the vulnerability grades of swell accidents area were evaluated. In swell accident area, the average grade of the wave exposure index was 4.91, the wave sensitivity index was 3.87, and the wave impact index was 4.90. As a result, most of the swell accidents occurred in the 5 grade (very vulnerable level) of the wave impact index, and the area of the east coast (78.7%) of the same 5 grade was classified into five types according to the wave sensitivity index result. Finally, a countermeasures was taken for characteristics of each type.

Flooding Risk under Climate Change of Fast Growing Cities in Vietnam (베트남 급성장 도시지역의 기후변화 홍수재해 위험성 분석)

  • Kim, So Yoon;Lee, Byoung Jae;Lee, Jongso
    • Journal of Korean Society of Disaster and Security
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    • v.13 no.2
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    • pp.1-9
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    • 2020
  • Vietnamese cities have a high risk of flooding under climate change due to their geographical characteristics. In this situation, the urban area is expanding with rapid growth of urban population. However, the risk of flooding is increasing due to the increase in impermeable areas and insufficient infrastructure. This study analyzed the urban expansion trend at the national level in Vietnam for the past 10 years (2007-2017) by using the Urban Expansion Intensity Index. Also, this study selected Hue City as a region with a large impact of climate change and a rapid expansion and found the possibility of flooding in the urban expansion area. The result showed that cities have been expanded around major cities in the Red River Delta, Mekong Delta, and coastal areas. In the case of Hue City, the area with fast expansion rate has a higher expected flood area. It implies that the risk of flood disasters may increase if the urabn expansion is carried out without disaster prevention measures. It is expected that Korean urban disaster prevention policies such as urban climate change disaster vulnerability analysis system will be helpful in establishing urban plans considering climate change in the fast growing regions such as Vietnam.

A Study on Improvement Plans for Local Safety Assessment in Korea (국내 지역안전도 평가의 개선방안 연구)

  • Kim, Yong-Moon
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.4
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    • pp.69-80
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    • 2021
  • This study tried to suggest improvement measures by discovering problems or matters requiring improvement among the annual regional safety evaluation systems. Briefly introducing the structure and contents of the study, which is the introduction, describes the regional safety evaluation method newly applied by the Ministry of Public Administration and Security in 2020. Utilization plans were also introduced according to the local safety level that was finally evaluated by the local government. In this paper, various views of previous researchers related to regional safety are summarized and described. In addition, problems were drawn in the composition of the index of local safety, the method of calculating the index, and the application of the current index. Next, the problems of specific regional safety evaluation indicators were analyzed and solutions were presented. First, "Number of semi-basement households" is replaced with "Number of households receiving basic livelihood" of 「Social Vulnerability Index」 in the field of disaster risk factors is replaced with "the number of households receiving basic livelihood". In addition, the "Vinyl House Area" is evaluated by replacing "the number of households living in a Vinyl House, the number of container households, and the number of households in Jjok-bang villages" with data. Second, in the management and evaluation of habitual drought disaster areas, local governments with a water supply rate of 95% or higher in Counties, Cities, and Districts are treated as "missing". This is because drought disasters rarely occur in the metropolitan area and local governments that have undergone urbanization. Third, the activities of safety sheriffs, safety monitor volunteers, and disaster safety silver monitoring groups along with the local autonomous prevention foundation are added to the evaluation of the evaluation index of 「Regional Autonomous Prevention Foundation Activation」 in the field of response to disaster prevention measures. However, since the name of the local autonomous disaster prevention organization may be different for each local government, if it is an autonomous disaster prevention organization organized and active for disaster prevention, it would be appropriate to evaluate the results by summing up all of its activities. Fourth, among the Scorecard evaluation items, which is a safe city evaluation tool used by the United Nations Office for Disaster Risk Reduction(UNDRR), the item "preservation of natural buffers to strengthen the protection functions provided by natural ecosystems" is borrowed, which is closely related to natural disasters. The Scorecard evaluation is an assessment index that focuses on improving the disaster resilience of local governments while carrying out the campaign "Creating cities resilient to climate crises and disasters" emphasized by UNDRR. Finally, the names of "regional safety level" and "local safety index" are similar, so the term of local safety level is changed to "natural disaster safety level" or "natural calamity safety level". This is because only the general public can distinguish the local safety level from the local safety index.

Return Period Estimation of Droughts Using Drought Variables from Standardized Precipitation Index (표준강수지수 시계열의 가뭄특성치를 이용한 가뭄 재현기간 산정)

  • Kwak, Jae Won;Lee, Sung Dae;Kim, Yon Soo;Kim, Hung Soo
    • Journal of Korea Water Resources Association
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    • v.46 no.8
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    • pp.795-805
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    • 2013
  • Drought is one of the severe natural disasters and it can profoundly affect our society and ecosystem. Also, it is a very important variable for water resources planning and management. Therefore, the drought is analyzed in this study to understand the drought distribution and trend. The Standard Precipitation Index (SPI) is estimated using precipitation data obtained from 55 rain gauge stations in South Korea and the SPI based drought variables such as drought duration and drought severity were defined. Drought occurrence and joint probabilistic analysis for SPI based drought variables were performed with run theory and copula functions. And then the return period and spatial distribution of droughts on the South Korea was estimated. As the results, we have shown that Gongju and Chungju in Chungcheong-do and Wonju, Inje, Jeongseon, Taebeak in Gangwon-do have vulnerability to droughts.

Development of Potential Drought Hazard Map of Korea using Drought Frequency Analysis (가뭄빈도해석을 통한 한반도의 가뭄우심지역 평가에 관한 연구)

  • Lee, Joo-Heon;Cho, Kyung-Jun;Kim, Chang-Joo;Park, Min-Jae;Lee, Eun-Tae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.978-978
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    • 2012
  • 최근 들어, 지구온난화에 따른 기후변화로 인해 홍수와 가뭄 등과 같은 자연재해가 과거에 비해 빈번히 발생되고 있으며 그로인한 수많은 인명 및 재산피해가 나타나고 있다. 특히, 가뭄의 경우 홍수 등 여타의 수문학적 재해에 비해 서서히 장기간에 걸쳐 피해를 유발하고 있는데 미국해양기상청(NOAA)에서 선정한 20세기 최대의 자연재해 중 상위 5위안에 4개의 가뭄이 기록될 정도로 그 피해가 심각한 것으로 나타나고 있다. 우리나라 역시 5년에 한번 꼴로 심한가뭄이 발생하는 등 가뭄의 발생주기가 점차 짧아지고 있어 이에 대한 대비가 필요한 실정이다. 따라서, 본 연구에서는 가뭄지수를 이용한 통계학적 분석을 통해 과거가뭄사상을 정량적으로 평가하고자 한다. 본 연구에서는 관측자료의 신뢰성이 확보되어 있는 기상청 산하 59개 기상관측소를 대상으로 하였으며 1976~2010년(35년)의 자료를 이용하여 SPI(6)를 산정하였다. 분석방법으로는 한반도 가뭄의 발생빈도를 추정하기 위하여 Drought Spell 분석을 실시하였으며 한반도를 대상으로 극심한 가뭄에 대한 가뭄우심지역을 평가하기 위하여 지속기간별 가뭄빈도해석을 통해 SDF 곡선을 작성하고 이를 이용하여 가뭄우심도(Drought Potential Hazard Map)를 작성하였다. 가뭄단계별 발생빈도를 분석한 결과, 금강, 낙동강, 섬진강유역에서 심한가뭄과 극한가뭄단계의 발생빈도가 높게 나타났으며 가뭄빈도해석을 통해 작성된 SDF 곡선에서도 한강유역에 위치한 서울관측소에 비해 금강, 낙동강, 섬진강 유역에 위치한 대전, 대구, 광주 관측소의 재현기간별 가뭄심도가 낮게 나타났다. 가뭄빈도해석을 통해 작성된 가뭄우심도에서는 한강 유역과 낙동강 유역의 상류에 비해 금강, 섬진강, 영산강 유역이 가뭄에 취약한 지역으로 분석되어 가뭄단계별 발생빈도와 유사한 결과를 나타내었다. 또한, 동일한 재현기간에서 지속기간이 길어질수록 가뭄의 심도가 감소하는 것으로 분석되었다. 유역별 가뭄심도를 비교한 결과에서는 재현기간 200년 빈도, 지속기간 3개월의 가뭄심도의 경우, 섬진강 유역(-2.89)에서 한강(-2.13), 낙동강(-2.72), 금강(-2.45), 영산강(-2.73)유역에 더욱 극심한 가뭄을 나타내고 있었으며 지속기간 6개월의 가뭄심도에서도 동일한 결과를 나타내었다.

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