• Title/Summary/Keyword: Distribution of Disaster Risk Information

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Social Network Analysis by Utilizing Disaster Risk Big Data (재난 위험신고 빅데이터를 활용한 사회연결망 분석)

  • Han, Ji-Ah;Jeong, Duk-Hoon
    • The Journal of Bigdata
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    • v.1 no.2
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    • pp.45-63
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    • 2016
  • According to changes of recent climate social structures, frequency of occurrence new or complex disasters are increasing. So the importance of disaster prevention is increasing. To provide useful information of disaster prevention activities, We use the "Safety Sinmungo" main processing practices included Facility safety management in Ministry of Public Safety and Security. Facility safety management is the most and common disaster prevention activities. We identified the keywords in the risk report and facilities to residents report and analyzed the seasonal and inter-regional facilities report distribution process. We also utilized social network analysis techniques to configure a 1-mode, 2-mode facilities around the keyword for differences.

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Disaster Cooperation Strategies between North and South Korea based on Sendai Framework

  • CHOI, Junho;LEE, Dongkwan;CHOI, Choongik
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.509-515
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    • 2020
  • TThe cooperation on disaster prevention between the two Koreas has been mostly focused on cooperation at the recovery stage, such as emergency relief supplies and equipment support. This study aims to articulate future practical development plans by analyzing disaster cooperation between North and South Korea in accordance with the changing paradigm of international disaster cooperation. Considering the specificity of inter-Korean cooperation, the Framework for Inter-Korean Disaster Prevention Cooperation was established centering on the Sendai Framework for Disaster Risk Reduction. The framework consists of understanding and sharing disaster risks, building back better, strengthening community resilience, and supporting regional disaster action plans for continuous action. Inter-Korean disaster prevention cooperation requires sharing information about North Korean disasters. It is necessary to accurately identify and support social vulnerability to North Korean disasters. Above all, it is supporting the development of disaster action plans from a humanitarian perspective needs. A medium-to-long term resilience reinforcement plan that North Korea can resolve on its own is also needed. Since North Korea is also deeply interested in international disaster cooperation, it should be based on the direction of the Sendai Framework. Considering the uniqueness of inter-Korean cooperation, a path for North Korea to actively participate in international disaster cooperation should be established.

Compatibility for the Typhoon Damages Predicted by Korea Risk Assessment Model Input Data (한국형 재해평가모형(RAM)의 초기입력자료 적합성 평가)

  • Park, Jong-Kil;Lee, Bo-Ram;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.7
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    • pp.865-874
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    • 2015
  • This study was conducted to investigate the correlation between the distribution chart and input data of the predicted 3-second gust and damage cost, by using the forecast field and analysis field of Regional Data Assimilation Prediction System (RDAPS) as initial input data of Korea risk assessment model (RAM) developed in the preceding study. In this study the cases of typhoon Rusa which caused occurred great damage to the Korean peninsula was analyzed to assess the suitability of initial input data. As a result, this study has found out that the distribution chart from the forecast field and analysis field predicted from the point where the effect due to the typhoon began had similarity in both 3-second gust and damage cost with the course of time. As a result of examining the correlation, the 3-second gust had over 0.8, and it means that the forecast field and analysis field show similar results. This study has shown that utilizing the forecast field as initial input data of Korea RAM could suit the purpose of pre-disaster prevention.

Verification of Ground Subsidence Risk Map Based on Underground Cavity Data Using DNN Technique (DNN 기법을 활용한 지하공동 데이터기반의 지반침하 위험 지도 작성)

  • Han Eung Kim;Chang Hun Kim;Tae Geon Kim;Jeong Jun Park
    • Journal of the Society of Disaster Information
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    • v.19 no.2
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    • pp.334-343
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    • 2023
  • Purpose: In this study, the cavity data found through ground cavity exploration was combined with underground facilities to derive a correlation, and the ground subsidence prediction map was verified based on the AI algorithm. Method: The study was conducted in three stages. The stage of data investigation and big data collection related to risk assessment. Data pre-processing steps for AI analysis. And it is the step of verifying the ground subsidence risk prediction map using the AI algorithm. Result: By analyzing the ground subsidence risk prediction map prepared, it was possible to confirm the distribution of risk grades in three stages of emergency, priority, and general for Busanjin-gu and Saha-gu. In addition, by arranging the predicted ground subsidence risk ratings for each section of the road route, it was confirmed that 3 out of 61 sections in Busanjin-gu and 7 out of 68 sections in Sahagu included roads with emergency ratings. Conclusion: Based on the verified ground subsidence risk prediction map, it is possible to provide citizens with a safe road environment by setting the exploration section according to the risk level and conducting investigation.

Frequency analysis of storm surge using Poisson-Generalized Pareto distribution (Poisson-Generalized Pareto 분포를 이용한 폭풍해일 빈도해석)

  • Kim, Tae-Jeong;Kwon, Hyun-Han;Shin, Young-Seok
    • Journal of Korea Water Resources Association
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    • v.52 no.3
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    • pp.173-185
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    • 2019
  • The Korean Peninsula is considered as one of the most typhoon related disaster prone areas. In particular, the potential risk of flooding in coastal areas would be greater when storm surge and heavy rainfall occurred at the same time. In this context, understanding the mechanism of the interactions between them and estimating the risk associated with the concurrent occurrence are of particular interests especially in low-lying coastal areas. In this study, we developed a Poisson-Generalized Pareto (Poisson-GP) distribution based storm surge frequency analysis model to combine the occurrence of the exceedance of a threshold, that is the peaks over threshold (POT), within a Bayesian framework. The storm surge frequency analysis technique developed through this study might contribute to the improvement of disaster prevention technology related to storm surge in the coastal area.

Assessment of Human Impact on Mekong River Flood by Using Satellite Nightlight Image

  • Try, Sophal;Lee, Giha;Lee, Daeeop;Thuy, HoangThu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.187-187
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    • 2016
  • High intensity of population distribution in deltaic setting especially in Asia tends to have increased and causes coastal flood risk due to lower elevations and significant subsidence. Maximum or peak discharge of flood always causes numerous deaths and huge economic losses. New technology of spatial satellite image has been applied to analyze flood damage. In this research, the relationship of nightlight intensity associated with flood damages has been determined during 1992-2013 with spatial resolution of 30 arc sec ($0.0083^{\circ}$) which is nearly one kilometer at the equator in whole six countries along the Mekong River (i.e., China, Myanmar, Lao PDR, Thailand, Cambodia and Vietnam). ArcGIS Hydrological Flow Length Tool has been used to determine the distance of each pixel areas from the rivers and streams. Statistical analysis results highlight the significant correlation R = 0.47 between nightlight digital number and economic damages per unit area (US$/km2) and R = 0.62 for number of affected people for unit area ($people/km^2$). The areas near by the Mekong River and its tributaries correspond to high flood damage. This spatial analysis result is going to be prestigious key information to the regions and all related stakeholders for decisions and mitigation strategies.

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A Study on Integrated Assessment of Baekdu Mountain Volcanic Aisaster risk Based on GIS (GIS기법을 이용한 백두산 화산재해 종합평가 연구)

  • Xiao-Jiao, Ni;Choi, Yun Soo;Ying, Nan
    • Spatial Information Research
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    • v.22 no.4
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    • pp.77-87
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    • 2014
  • Recently there are many disasters caused by volcanic activities such as the eruptions in Tungurahua, Ecuador(2014) and $Eyjafjallaj\ddot{o}kull$, Iceland(2010). Therefore, it is required to prepare countermeasures for the disasters. This study analyzes the Baekdu Mountain area, where is the risky area because it is active volcano, based on the observed data and scientific methods in order to assess a risk, produce a hazard map and analyze a degree of risk caused by the volcano. Firstly, it is reviewed for the research about the Baekdu mountain volcanic eruption in 1215(${\pm}15$ years) done by Liu Ruoxin. And the factors causing volcanic disaster, environmental effects, and vulnerability of Baekdu Mountain are assessed by the dataset, which includes the earthquake monitoring data, the volcanic deformation monitoring data, the volcanic fluid geochemical monitoring data, and the socio-economic statistics data. A hazard, especially caused by a volcano, distribution map for the Baekdu Mountain Area is produced by using the assessment results, and the map is used to establish the disaster risk index system which has the four phases. The first and second phases are very high risky area when the Baekdu Mountain erupts, and the third and fourth phases are less dangerous area. The map shows that the center of mountain has the first phase and the farther area from the center has the lower phase. Also, the western of Baekdu Mountain is more vulnerable to get the risk than the eastern when the factors causing volcanic disasters are equally applied. It seems to be caused by the lower stability of the environment and the higher vulnerability.

Study on Verification of Applicability for a Warehouse Construction Site using a Fire Risk Assessment Tool (화재위험도 평가 Tool에 의한 물류창고 공사장 적용성 검증에 관한 연구)

  • YongGoo Seo;SeHong Min
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.673-688
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    • 2023
  • Purpose: Fires that occur during construction are infrequent, but cause great damage. Recently, with the growth of the logistics and distribution industry, the number of construction sites for new logistics warehouses is increasing, so it was selected as a research subject and research was conducted to reduce accidents at construction sites through the development of a fire risk assessment tool to quantitatively approach fire prevention. Method: A comprehensive fire risk assessment tool was accumulated by classifying the work in progress, classifying combustibles and ignition sources by grade, excluding air (oxygen), which is difficult to control, and additionally substituting evacuation safety. Result: Using the developed and proposed fire risk evaluation tool, excavation work with low fire risk, facility construction with medium fire risk, and finishing work with high fire risk were sampled to derive the result (CGI). Conclusion: In this study, it was possible to establish specific preventive measures and evaluate evacuation safety by controlling physical conditions (combustibles) and energy conditions (ignition sources) according to the risk assessment by developing a tool that can evaluate the risk of 14fire occurrence at construction sites. It is expected that in the future, through the application of the fire risk evaluation tool at construction sites, it will be provided as a criterion for establishing a process plan that can reduce risk and evaluating the adaptability of firefighting equipment.14

Assessment of the directional extreme wind speeds of typhoons via the Copula function and Monte Carlo simulation

  • Wang, Jingcheng;Quan, Yong;Gu, Ming
    • Wind and Structures
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    • v.30 no.2
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    • pp.141-153
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    • 2020
  • Probabilistic information regarding directional extreme wind speeds is important for the precise estimation of the design wind loads on structures. A joint probability distribution model of directional extreme typhoon wind speeds is established using Monte Carlo simulation and empirical copula function to fully consider the correlations of extreme typhoon wind speeds among the different directions. With this model, a procedure for estimating directional extreme wind speeds for given return periods, which ensures that the overall risk is distributed uniformly by direction, is established. Taking 5 typhoon-prone cities in China as examples, the directional extreme typhoon wind speeds for given return periods estimated by the present method are compared with those estimated by the method proposed by Cook and Miller (1999). Two types of directional factors are obtained based on Cook and Miller (1999) and the UK standard's drafting committee (Standard B, 1997), and the directional risks for the given overall risks are discussed. The influences of the extreme wind speed correlations in the different directions and the simulated typhoon wind speed sample sizes on the estimated extreme wind speeds for a given return period are also discussed.

Landslide Risk Assessment Using HyGIS-Landslide (HyGIS-Landslide를 이용한 산사태 발생 위험도 평가)

  • Park, Jung-Sool;Kim, Kyung-Tak;Choi, Yun-Seok
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.1
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    • pp.119-132
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    • 2012
  • Recently, forest soil sediment disasters resulting from locally concentrated heavy rainfall have been occurring frequently in steep slope areas. The importance of landslide hazard map is emerging to analyze landslide vulnerable areas. This study was carried out to develop HyGIS-Landslide based on Hydro Geographic Information System in order to analyze forest soil sediment disaster in the mountainous river basin. HyGIS-Landslide is one of HyGIS components designed by considering the landslide hazard criteria of Korea Forest Service. It could show the distribution of landslide hazard areas after calculating the spatial data. In this system, the user could reset the weight of hazard criteria to reflect the regional characteristics of the landslide area. This component provided user interface that could make the latest spatial data available in the area of interest. HyGIS-Landslide could be applied to the surveyor's compensation score and it was possible to reflect the landslide risk exactly through it. Also, it could be used in topographic analysis techniques providing spatial analysis and making topographical parameters in HyGIS. Finally the accuracy could be acquired by calculating the landslide hazard grade map and landslide mapping data. This study applied HyGIS-Landslide at the Gangwon-do province sample site. As a result, HyGIS-Landslide could be applied to a decision support system searching for mountainous disaster risk region; it could be classified more effectively by re-weighting the landslide hazard criteria.