• Journal of the Korean Society of Hazard Mitigation
• /
• 제8권2호
• /
• pp.65-73
• /
• 2008

Since the damages caused by disasters increase every year associated with wrenching climatic changes and the diversification of the social structure, the efficient management system is required to reduce damages and an assessment of the vulnerable disaster areas is necessary to prevent and mitigate the damages. In this paper, we have estimated the vulnerable disaster areas based on the records of the past damage histories and performed the risk assessment of the social infrastructures in Busan city to provide the fundamental information for the real-time monitoring system and the systematic approach for disaster prevention system to build V-City model. These results are illustrated by using Geographical Information System (GIS) and the order of vulnerable disaster areas are also estimated.

• Proceedings of the Korea Water Resources Association Conference
• /
• 한국수자원학회 2019년도 학술발표회
• /
• pp.55-55
• /
• 2019

메콩강 유역에서 가장 하류에 위치하고 있는 메콩 삼각주는 상류에 일어나는 많은 활동으로 인하여 높은 수준의 취약성을 지니고 있다. 기후 변화와 미래개발의 맥락에서 재해 위험을 평가하는 것은 기후현상/극한날씨, 취약성, 노출, 현재 위험 관리 및 적응을 충분히 고려할 필요가 있다. 홍수, 가뭄, 염수침입은 IQQQM과 IS 모델을 사용하여 분석하였다. 베트남 정부가 승인한 최신 기후변화 시나리오는 이 지역의 향후 토지이용, 물이용 및 상류에서의 수력발전 계획과 함께 모델링에 사용되었다. 홍수, 가뭄 및 염수치입 정도를 시뮬레이션 결과에 기초하여 평가하였고, 최종적으로 GIS 도구를 사용한 위험도 분석을 실시하였다. 리스크 분석 결과 저위험구역의 2모작 및 3모작 논의 면적은 6,381 ha로 떨어지고 중위험지역과 고위험구역의 2모작과 양식장 면적은 각각 약 7만 ha와 9,000 ha로 늘어나는 것으로 나타났다. 가뭄과 염도에 대한 위험 분석은 기후 변화와 해수면 상승으로 인한 위험의 심각성이 증가하는 것을 나타낸다. 분석 결과 메콩 삼각주에서는 전반적으로 향후 기후변화와 상류발전에 따른 부정적 영향으로 홍수 및 가뭄재해의 위험이 증가할 것으로 나타났다. 홍수 및 가뭄에 대한 보다 능동적이고 협력적인 관리가 향후 재난에 대비하여 지역사회의 탄력성을 유지하기 위해 필요한 것으로 나타났다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 한국재난정보학회 2017년 정기학술대회
• /
• pp.364-365
• /
• 2017

본 연구에서는 울산시 지진해일 주민 대피지구에 대한 의사결정을 지원하기 위한 지진해일 침수예상도를 작성하고 사전 대응체계를 구축하였다. 이를 위해 울산시 15개 지진해일위험 지구 중 기 구축된 3개소(정자, 주전, 진하)를 제외한 12개 지구(강양, 송정대송, 평동, 나사, 신암, 장생포, 일산, 방어, 신명, 산하, 구유, 당사)에 대한 현장조사와 함께 지진해일 침수범람 수치시뮬레이션을 수행하였다. 현장 조사된 자료와 시뮬레이션된 침수범람 결과를 기반으로 지진해일 침수예상도를 작성하고 지진해일대응시스템에 DB화하였다. 본 연구결과를 활용하여 지진해일 대응 및 취약지구 개선을 위한 정책 개선 등에 활용될 수 있는 기반을 마련하였다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 한국재난정보학회 2022년 정기학술대회 논문집
• /
• pp.51-54
• /
• 2022

본 연구에서는 기상청이 발표하는 기상긴급정보의 판단기준을 정립하기 위해 호우, 강풍의 기상관측 극값을 산출하고 현재 기상특보의 기준과 비교하였다. 최근 11년간의 기상극값의 분포에서 호우 주의보와 강풍 주의보는 관측된 219개 지점의 상위 0.5%에 해당하는 극값과 유의했다. 향후 본 논문에서 제시간 극값만으로 기상기급상황을 판단하는 현재의 특보 운영체계에서 지역적인 위험성의 노출과 취약성을 고려한 위험 판단의 기준을 제시하는 연구를 지속할 계획이다. 또, 본 연구에서 제시하고자 하는 기상긴급판단의 기준은 심각한 피해가 예상되는 악기상 현상이나, 시급한 판단이 필요한 기상현상을 판단하여 대국민에게 위험기상의 심각성과 시급한 경보를 전파하는데 활용하여 국민을 위험기상에 대한 대응 역량을 높이고자 한다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 한국재난정보학회 2022년 정기학술대회 논문집
• /
• pp.427-428
• /
• 2022

최근 대규모 항만 건설 및 기존 부두 리모델링과 같은 해안 공간 구조물 확충사업이 활발하게 진행되고 있으며 항만 구조물 거동 장기계측을 위한 센서에 대한 관심도 높아지고 있다. 기존의 항만에 적용한 전기식 센서들은 수개월 정도 단기간의 구조물 거동 측정은 가능하지만 수년 이상의 장기계측 시 염수분에 의한 부식 및 내구성에 취약하기 때문에 원활한 측정에 한계점이 있고 센서 설치를 위한 항만 외곽지역 구조물과 육상전원공급설비 배전반 사이의 거리로 인하여 긴 연장의 횡단로 가설전선 보호대 등을 설치해야 하는 어려움이 있다. 따라서, 본 연구에서는 항만 구조물 거동 장기계측을 위해 기존 전기식 센서들의 부식문제점을 파악하여 해수용 4종 센서 IoT 모듈 패키징을 설계하고 외부 전원공급 방해 영향을 최소화한 태양광 발전을 적용한 항만 구조물 거동 계측 시스템을 제안하였다.

• The Journal of the Korea Contents Association
• /
• 제21권9호
• /
• pp.704-713
• /
• 2021

The purpose of this study was to evaluate the relative weight of infectious disease vulnerability indicators that affect the occurrence and spread of infectious diseases in local communities. For this, the infectious disease vulnerability indicators were classified as facilities vulnerable to spread, vulnerable groups of infections, social vulnerable conditions, and response capabilities based on literature and case review, and the relative weights among indicators were determined using Analytic Hierarchy Process(AHP) by 22 experts. As a result of the analysis, the weight of each sector was found to be the highest in the facilities vulnerable to spread, and the overall weight was highest in the following order: sickbed securing rate(1st), density of religious facilities(2nd), medical personnel rate(3rd), elderly person ratio(4th), and entertainment establishment density(5th). These results can be used to prepare the supporting data necessary for the establishment of infectious disease response policies of local governments.

• Journal of the Korean earth science society
• /
• 제34권6호
• /
• pp.524-535
• /
• 2013

Catastrophe risk models require the damage functions of each vulnerable item in inventory to estimate volcanic ash losses. The damage functions are used to represent the relation between damage factors and damage and also widely used in engineering and natural hazard studies to calculate the vulnerability. In most cases, damage functions are constructed as fragility or vulnerability curves, and researchers are confused by the similarities between them particularly when they perform interdisciplinary research. Thus, we aim to explain the similarities and differences between fragility and vulnerability curves and their relationship by providing case studies to construct them. In addition, we suggest a simple method to construct the damage functions between damage ratio and volcanic ash thickness using limited damage data. This study comes from the fact that damage functions are generally constructed using damage data. However, there is no available volcanic ash damage data in Korea, and not even enough volcanic disaster data to construct damage functions in the world, compared to other hazards. Using the method suggested in the study and the limited damage data from Japan and New Zealand, we construct Weibull-type functions or linear functions dependent of available data to calculate volcanic ash loss estimation, which we think need to be corrected to make it more suitable for inventory characteristics and environmental conditions in Korea.

• Korean Journal of Remote Sensing
• /
• 제36권5_4호
• /
• pp.1267-1276
• /
• 2020

To quantitatively predict the impacts of large-scale volcanic eruptions of Mt. Baekdu on air quality and damage around the Korean Peninsula, a three-dimensional chemistry-transport modeling system (Weather Research & Forecasting - Sparse Matrix Operation Kernel Emission - Comunity Multi-scale Air Quality) was adopted. A worst-case meteorology scenario was selected to estimate the direct impact on Korea. This study applied the typical worst-case scenarios that are likely to cause significant damage to Korea among worst-case volcanic eruptions of Mt. Baekdu in the past decade (2005~2014) and assumed a massive VEI 4 volcanic eruption on May 16, 2012, to analyze the concentration of PM_2.5 caused by the volcanic eruption. The effects of air quality in each region-cities, counties, boroughs-were estimated, and vulnerable areas were derived by conducting an exposure assessment reflecting vulnerable groups. Moreover, the effects of cities, counties, and boroughs were analyzed with a high-resolution scale (9 km × 9 km) to derive vulnerable areas within the regions. As a result of analyzing the typical worst-case volcanic eruptions of Mt. Baekdu, a discrepancy was shown in areas between high PM_2.5 concentration, high population density, and where vulnerable groups are concentrated. From the result, PM_2.5 peak concentration was about 24,547 ㎍/㎥, which is estimated to be a more serious situation than the eruption of Mt. St. Helensin 1980, which is known for 540 million tons of volcanic ash. Paju, Gimpo, Goyang, Ganghwa, Sancheong, Hadong showed to have a high PM_2.5 concentration. Paju appeared to be the most vulnerable area from the exposure assessment. While areas estimated with a high concentration of air pollutants are important, it is also necessary to develop plans and measures considering densely populated areas or areas with high concentrations of susceptible population or vulnerable groups. Also, establishing measures for each vulnerable area by selecting high concentration areas within cities, counties, and boroughs rather than establishing uniform measures for all regions is needed. This study will provide the foundation for developing the standards for disaster declaration and preemptive response systems for volcanic eruptions.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• 제37권5호
• /
• pp.927-940
• /
• 2017

Landslide has been a major disaster in Indonesia, and recent climate change and indiscriminate urban development around the mountains have increased landslide risks. Java Island, Indonesia, where more than half of Indonesia's population lives, is experiencing a great deal of damage due to frequent landslides. However, even in such a dangerous situation, the number of inhabitants residing in the landslide-prone area increases year by year, and it is necessary to develop a technique for analyzing landslide-hazardous and vulnerable areas. In this regard, this study aims to evaluate landslide susceptibility of Java, an island of Indonesia, by using GIS-based spatial prediction models. We constructed the geospatial database such as landslide locations, topography, hydrology, soil type, and land cover over the study area and created spatial prediction models by applying Weight of Evidence (WoE), decision trees algorithm and artificial neural network. The three models showed prediction accuracy of 66.95%, 67.04%, and 69.67%, respectively. The results of the study are expected to be useful for prevention of landslide damage for the future and landslide disaster management policies in Indonesia.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• 제21권11호
• /
• pp.570-576
• /
• 2020

This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.