• Title/Summary/Keyword: probability of disaster occurrence

Search Result 37, Processing Time 0.03 seconds

A Study on Power Outage Cost Analysis according to Distribution System Resilience and Restoration Strategies (배전계통 복원력 확보 및 복원 전략에 따른 정전비용분석에 관한 연구)

  • Sehun Seo;Hyeongon Park
    • Journal of the Korean Society of Safety
    • /
    • v.38 no.1
    • /
    • pp.18-24
    • /
    • 2023
  • Severe natural disasters and man-made attacks such as terrorism are causing unprecedented disruptions in power systems. Due to rapid climate change and the aging of energy infrastructure, both the frequency of failure and the level of damage are expected to increase. Resilience is a concept proposed to respond to extreme disaster events that have a low probability of occurrence but cause enormous damage and is defined as the ability of a system to recover to its original function after a disaster. Resilience is a comprehensive indicator that can include system performance before and after a disaster and focuses on preparing for all possible disaster scenarios and having quick and efficient recovery actions after an incident. Various studies have been conducted to evaluate resilience, but studies on economic damage considering the duration of a power outage are scarce. In this study, we propose an optimal algorithm that can identify failures after an extreme disaster and restore the load on the distribution system through emergency distributed power generation input and system reconfiguration. After that, the cost of power outage damage is analyzed by applying VoLL and CDF according to each restoration strategy.

Study on Physical Characteristics of Historical and Artificial Ground Accelration (역사지진 및 인공지진의 물리적특성에 관한 연구)

  • 전환석
    • Proceedings of the Earthquake Engineering Society of Korea Conference
    • /
    • 1998.04a
    • /
    • pp.52-57
    • /
    • 1998
  • Becaruse of the continual occurrence of minor and moderate earthquake in Korean peninsula, it is generally considered that Korean is nor located in safe region against probable earthquake and more, even though being recognized as a safe contry in earthquake. It is in particular noted that nowadays there has been much concern about undesirable disaster due to unexpected earthquake since the disaster of 1995 Kobe earthquake. Thus, the objective of this research is to develop appropriate design spectrum which could be practicably used in seismic design of important structures taking into consideration of local physical characteristics. Particularly, we have to keep in mind the lessons from 1985 Mexico earthquake which had disregarded deep research on local ground conditions, being a possible magnification phenomena of ground motions in weak soil layer. Various spectra has been described based on the analysis of historical earthquakes, and appropriate design spectrum has been proposed herein.

  • PDF

An Improvement Study on the Hydrological Quantitative Precipitation Forecast (HQPF) for Rainfall Impact Forecasting (호우 영향예보를 위한 수문학적 정량강우예측(HQPF) 개선 연구)

  • Yoon Hu Shin;Sung Min Kim;Yong Keun Jee;Young-Mi Lee;Byung-Sik Kim
    • Journal of Korean Society of Disaster and Security
    • /
    • v.15 no.4
    • /
    • pp.87-98
    • /
    • 2022
  • In recent years, frequent localized heavy rainfalls, which have a lot of rainfall in a short period of time, have been increasingly causing flooding damages. To prevent damage caused by localized heavy rainfalls, Hydrological Quantitative Precipitation Forecast (HQPF) was developed using the Local ENsemble prediction System (LENS) provided by the Korea Meteorological Administration (KMA) and Machine Learning and Probability Matching (PM) techniques using Digital forecast data. HQPF is produced as information on the impact of heavy rainfall to prepare for flooding damage caused by localized heavy rainfalls, but there is a tendency to overestimate the low rainfall intensity. In this study, we improved HQPF by expanding the period of machine learning data, analyzing ensemble techniques, and changing the process of Probability Matching (PM) techniques to improve predictive accuracy and over-predictive propensity of HQPF. In order to evaluate the predictive performance of the improved HQPF, we performed the predictive performance verification on heavy rainfall cases caused by the Changma front from August 27, 2021 to September 3, 2021. We found that the improved HQPF showed a significantly improved prediction accuracy for rainfall below 10 mm, as well as the over-prediction tendency, such as predicting the likelihood of occurrence and rainfall area similar to observation.

A Study on the Disaster Prevention of the Royal Tomb Eureung in the Mountain Cheonjang - Estimation on Forest Fire Risk Considering Forest Type and Topography - (천장산 의릉의 방재대책에 관한 연구 - 임상과 지형인자를 고려한 산불위험성 평가 -)

  • Won, Myoung-Soo;Lee, Woo-Kyun;Choi, Jong-Hee
    • Journal of the Korean Institute of Traditional Landscape Architecture
    • /
    • v.28 no.1
    • /
    • pp.59-65
    • /
    • 2010
  • The purpose of this study is to analyze the risk of the forest fire, considering the topography and the forest, for establishing disaster prevention measures of cultural heritage, Uireung, over in Cheonjang-mountain. To do that, we estimate the occurrence and spread of the forest fire over in Cheonjang-mountain through a forest fire probability model(logistic regression), using the space characteristic data($100m{\times}100m$). The factor, occurrence of the forest fire, are diameter class, southeast, southwest, south, coniferous, deciduous, and mixed forest. We assume the probability of the fire forest in each point as follow : [1+exp{-(-4.8081-(0.02453*diameter class)+(0.6608*southeast)+(0.507*southwest)+(0.7943*south)+(0.29498*coniferous forest)+(0.28897*deciduous forest)+(0.17788*mixed forest))}]$^{-1}$. To divide dangerous zone of the big forest fire, we make the basic materials for disaster prevention measures, through the map of coniferous forests, deciduous forests, and mixed forest. The damage of cultural heritage caused by a forest fire will be reduced through the effective preventive measures, by forecast a forest fire to using this study.

Shock absorption of concrete liquid storage tank with different kinds of isolation measures

  • Jing, Wei;Chen, Peng;Song, Yu
    • Earthquakes and Structures
    • /
    • v.18 no.4
    • /
    • pp.467-480
    • /
    • 2020
  • Concrete rectangular liquid storage tanks are widely used, but there are many cases of damage in previous earthquakes. Nonlinear fluid-structure interaction (FSI) is considered, Mooney-Rivlin material is used for rubber bearing, nonlinear contact is used for sliding bearing, numerical calculation models of no-isolation, rubber isolation, sliding isolation and hybrid isolation concrete rectangular liquid storage tanks are established; dynamic responses of different structures are compared to verify the effectiveness of isolation methods; and influences of earthquake amplitude, bidirectional earthquake and far-field long-period earthquake on dynamic responses are investigated. Results show that for liquid sloshing wave height, rubber isolation cause amplification effect, while sliding isolation and hybrid isolation have reduction effect; displacement of rubber isolation structure is much larger than that of sliding isolation with limiting-devices and hybrid isolation structure; when PGA is larger, wall cracking probability of no-isolation structure becomes larger, and probability of liquid sloshing wave height and structure displacement of rubber isolation structure exceeds the limit is also larger; under bidirectional earthquake, occurrence probabilities that liquid sloshing wave height and structure displacement of rubber isolation structure exceed the limit will be increased; besides, far-field long-period earthquake mainly influences structure displacement and liquid sloshing wave height. On the whole, control effect of sliding isolation is the best, followed by hybrid isolation, and rubber isolation is the worst.

Estimation of the soil liquefaction potential through the Krill Herd algorithm

  • Yetis Bulent Sonmezer;Ersin Korkmaz
    • Geomechanics and Engineering
    • /
    • v.33 no.5
    • /
    • pp.487-506
    • /
    • 2023
  • Looking from the past to the present, the earthquakes can be said to be type of disaster with most casualties among natural disasters. Soil liquefaction, which occurs under repeated loads such as earthquakes, plays a major role in these casualties. In this study, analytical equation models were developed to predict the probability of occurrence of soil liquefaction. In this context, the parameters effective in liquefaction were determined out of 170 data sets taken from the real field conditions of past earthquakes, using WEKA decision tree. Linear, Exponential, Power and Quadratic models have been developed based on the identified earthquake and ground parameters using Krill Herd algorithm. The Exponential model, among the models including the magnitude of the earthquake, fine grain ratio, effective stress, standard penetration test impact number and maximum ground acceleration parameters, gave the most successful results in predicting the fields with and without the occurrence of liquefaction. This proposed model enables the researchers to predict the liquefaction potential of the soil in advance according to different earthquake scenarios. In this context, measures can be realized in regions with the high potential of liquefaction and these measures can significantly reduce the casualties in the event of a new earthquake.

A Study on the GK2A/AMI Image Based Cold Water Detection Using Convolutional Neural Network (합성곱신경망을 활용한 천리안위성 2A호 영상 기반의 동해안 냉수대 감지 연구)

  • Park, Sung-Hwan;Kim, Dae-Sun;Kwon, Jae-Il
    • Korean Journal of Remote Sensing
    • /
    • v.38 no.6_2
    • /
    • pp.1653-1661
    • /
    • 2022
  • In this study, the classification of cold water and normal water based on Geo-Kompsat 2A images was performed. Daily mean surface temperature products provided by the National Meteorological Satellite Center (NMSC) were used, and convolution neural network (CNN) deep learning technique was applied as a classification algorithm. From 2019 to 2022, the cold water occurrence data provided by the National Institute of Fisheries Science (NIFS) were used as the cold water class. As a result of learning, the probability of detection was 82.5% and the false alarm ratio was 54.4%. Through misclassification analysis, it was confirmed that cloud area should be considered and accurate learning data should be considered in the future.

Quantitative Risk Analysis for Railway Tunnels (철도터널 화재에 대한 정량적 위험도 분석)

  • Park, Jung Hyun;Shim, Cha Sang
    • Journal of the Korean Society for Railway
    • /
    • v.20 no.3
    • /
    • pp.400-412
    • /
    • 2017
  • What is particularly noteworthy from Korean and foreign railway tunnel disaster prevention standards is that for the sake of rapid evacuation, more stringent standards for provision of evacuation passages, which require high cost, are being applied. Korean standards stipulate that passage installation should be determined in accordance with the level of risk through a QRA analysis of each tunnel with 1km or longer length. As, however, detailed application criteria as fire occurrence probability, fire occurrence scenario, size of fires and evaluation criteria for level of social risk are not available, additional costs may be incurred due to excessive design. Thus, standards of an appropriate level need to be established. With this backdrop, this study selects detailed application conditions of a reasonable and appropriate level through a study and analysis of relevant documents and analyzes the maximum length of tunnels to which the application of evacuation passages, or the application major evacuation promotion facilities, can be relaxed, together with a QRA analysis of model tunnels (for high speed rail) with different tunnel lengths. In addition, the QRA results on tunnels, including those on the Honam high-speed rail, and analysis results for the model tunnels, are compiled, ; the ultimate results are compared with Korean and other countries' standards related to evacuation promotion facilities, As a result, The appropriateness of application standards are reviewed. These results are expected to be utilized as basic material for establishing a reasonable disaster prevention plan that will consider safety and economies.

Development of a Manual for Simulation Training in Preparation for the Fall Disasters of Urban Residential Housing Construction Works and Apply (도시형 생활주택신축공사의 추락재해 발생대비 모의훈련 실시 매뉴얼 개발 및 적용)

  • Kim, Sung Soo
    • Journal of Korean Society of Disaster and Security
    • /
    • v.14 no.3
    • /
    • pp.39-49
    • /
    • 2021
  • According to the recent "Status of Industrial Accidents at the End of December 2020" released by the Ministry of Employment and Labor, each industry is subject to industrial accidents. The number of accident deaths by construction industry, accident deaths by accident type fell, and accident deaths by workplace size were 5 to 49, indicating that most accident deaths occurred due to falling accidents at small construction sites. Therefore, urban living houses are small construction sites, and the probability of falling accidents is very high. Fall simulation training for disaster occurrence is conducted mainly by large construction ordering organizations in the public sector, and it is the first case in Korea that a housing construction company has conducted at a small construction site. This study analyzed and presented the definition, construction characteristics, and safety management status of urban living houses, and developed and spread an emergency relief procedure manual in the event of a fall accident to minimize deaths.

Development of Radar Polygon Method : Areal Rainfall Estimation Technique Based on the Probability of Similar Rainfall Occurrence (Radar Polygon 기법의 개발 : 유사강우발생 확률에 근거한 면적강우량 산정기법)

  • Cho, Woonki;Lee, Dongryul;Lee, Jaehyeon;Kim, Dongkyun
    • Journal of Korea Water Resources Association
    • /
    • v.48 no.11
    • /
    • pp.937-944
    • /
    • 2015
  • This study proposed a novel technique, namely the Radar Polygon Method (RPM), for areal rainfall estimation based on radar precipitation data. The RPM algorithm has the following steps: 1. Determine a map of the similar rainfall occurrence of which each grid cell contains the binary information on whether the grid cell rainfall is similar to that of the observation gage; 2. Determine the similar rainfall probability map for each gage of which each grid cell contains the probability of having the rainfall similar to that of the observation gage; 3. Determine the governing territory of each gage by comparing the probability maps of the gages. RPM method was applied to the Anseong stream basin. Radar Polygons and Thiessen Polygons of the study area were similar to each other with the difference between the two being greater for the rain gage highly influenced by the orography. However, the weight factor between the two were similar with each other. The significance of this study is to pioneer a new application field of radar rainfall data that has been limited due to short observation period and low accuracy.