• Title/Summary/Keyword: Environmental Disaster

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A Study on the Analysis of Disaster Type for School Facilities and the Application Propriety of In-kind Compensation (학교 시설물의 재난유형 분석 및 현물보상 적용에 관한 연구)

  • Lee, Byoung Ho;Oh, Tae Keun;Cho, Sung Woo
    • Journal of the Korean Society of Safety
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    • v.33 no.5
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    • pp.177-185
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    • 2018
  • The school space is a place for learning activities and community activities, and it is used as a shelter for various disasters. Recently, the frequency and magnitude of damages of school facilities due to various disasters are increasing, and similar accidents occur repeatedly every year, causing enormous damage to school classes. Furthermore, damage to school facilities will require considerable time and safety confirmation measures to restore disaster and normalize the class. In this regards, based on the questionnaire survey on the difficulties and improvement measures of the disaster recovery work of the school safety manager, we propose the application of in-kind compensation for damage to school facilities to ensure rapid disaster recovery, simplification of administrative procedures, and quality of restoration work.

Predicting the Design Rainfall for Target Years and Flood Safety Changes by City Type using Non-Stationary Frequency Analysis and Climate Change Scenario (기후변화시나리오와 비정상성 빈도분석을 이용한 도시유형별 목표연도 설계강우량 제시 및 치수안전도 변화 전망)

  • Jeung, Se-Jin;Kang, Dong-Ho;Kim, Byung-Sik
    • Journal of Environmental Science International
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    • v.29 no.9
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    • pp.871-883
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    • 2020
  • Due to recent heavy rain events, there are increasing demands for adapting infrastructure design, including drainage facilities in urban basins. Therefore, a clear definition of urban rainfall must be provided; however, currently, such a definition is unavailable. In this study, urban rainfall is defined as a rainfall event that has the potential to cause water-related disasters such as floods and landslides in urban areas. Moreover, based on design rainfall, these disasters are defined as those that causes excess design flooding due to certain rainfall events. These heavy rain scenarios require that the design of various urban rainfall facilities consider design rainfall in the target years of their life cycle, for disaster prevention. The average frequency of heavy rain in each region, inland and coastal areas, was analyzed through a frequency analysis of the highest annual rainfall in the past year. The potential change in future rainfall intensity changes the service level of the infrastructure related to hand-to-hand construction; therefore, the target year and design rainfall considering the climate change premium were presented. Finally, the change in dimensional safety according to the RCP8.5 climate change scenario was predicted.

An Analysis of the Korean Peninsula Damages Vulnerabilities for a Natural Disaster Mitigation : Focus on Public Facilities Damages (자연재해저감을 위한 한반도 피해 취약성 분석 : 공공시설피해를 중심으로)

  • Park, Jong-Kil;Jung, Woo-Sik;Choi, Hyo-Jin
    • Journal of Environmental Science International
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    • v.17 no.4
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    • pp.413-422
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    • 2008
  • This study aims to find out a state of the damages and vulnerable areas from natural disasters in the Korean peninsula using the prevention meteorological database information made by Park(2007b). Through the correlation analysis between damage elements and total property losses, we investigate the damages of public facilities, which have high correlation coefficient, and the cause of disasters and want to propose the basic information to set up the disaster prevention measures in advance. As a result, because most of the total property losses is the damages of public facilities, we can reduce the damages of natural disasters if we can predict the damages of public facilities or carry out the prevention activities in advance. The most vulnerable area for the natural disasters are Cangwon-do and Gyeongsangnam-do provinces. The vulnerable areas for the damages of public facilities by typhoon are Daegu metropolitan city, Cangwon-do, and Gyeongsangbuk-do provinces. These vulnerable areas will take place more frequently due to the climate change including Gyeongsangnam-do province so that we need to set up the disaster prevention measures and natural disaster mitigation plan. Also, we think that it has effect on reducing the damages of natural disasters to predict the damage scale and strongly perform the prevention activities in advance according to typhoon track and intensity.

Appropriate Methods in Determining the Event Mean Concentration and Pollutant Removal Efficiency of a Best Management Practice

  • Maniquiz, Marla C.;Choi, Ji-Yeon;Lee, So-Young;Cho, Hye-Jin;Kim, Lee-Hyung
    • Environmental Engineering Research
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    • v.15 no.4
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    • pp.215-223
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    • 2010
  • This study attempted to develop and suggest a more appropriate method for the determination of event mean concentration (EMC) and pollutant removal efficiency of a stormwater best management practice (BMP) considering rainfall. The stormwater runoff and hydrologic data gathered from 22 storm events during a 28-month monitoring period on a swirl and filtration type of BMP were used to evaluate the developed methods. Based on the findings, the modified EMC method resulted in lower (average) values than the overall EMC, although the differences were not significant (P>0.05). By comparison, the developed 'Rainfall Occurrence Ratio' (ROR) method was most significantly correlated (r=0.967 to 988, P<0.009) with the other existing removal efficiency determination methods such as the 'Efficiency Ratio' (ER), 'Summation of Loads' (SOL) and 'Regression of Loads' (ROL) methods. In addition, the ROR method gave the highest efficiency values, with no significant differences with any of the pollutant parameters, unlike the other three methods. These results were obtained because the ROR method integrated both pollutant loading and rainfall, which are not considered by the other three methods. Therefore, this study proved the suitability of the modified EMC and ROR methods for application in other BMP monitoring studies.

Economic Impact Analysis of Disaster Mitigation Projects in Hazardous Areas (자연재해위험지구 정비사업의 투자효과분석)

  • Heo, Bo-Young;Yu, Soonyoung;Kim, Sung-Wook
    • Economic and Environmental Geology
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    • v.46 no.3
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    • pp.247-256
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    • 2013
  • In order to improve the quality assurance of the disaster mitigation projects, the economic effect of these projects in the hazardous areas was analysed. Eight project sites were selected for analyses based on the disaster data during the previous 10 years, and the investment effect was evaluated using a benefit cost ratio (B/C). The benefit was estimated using the historical disaster data and presumed to continue for 30 years, while the cost was assumed with the total project cost. Analysis results indicate the B/C ratio is larger than 1 in the difference range, depending on factors such as impact areas and discount rates. According to the analysis results, the average B/C of the eight projects is 4.1 with assuming the discount rate of 4% and the impact diameter of 5 km, which implies that a disaster management project in hazardous areas will give the positive investment effects.

Analysis and Verification of Slope Disaster Hazard Using Infinite Slope Model and GIS (무한사면해석기법과 GIS를 이용한 사면 재해 위험성 분석 및 검증)

  • 박혁진;이사로;김정우
    • Economic and Environmental Geology
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    • v.36 no.4
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    • pp.313-320
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    • 2003
  • Slope disaster is one of the repeated occurring geological disasters in rainy season resulting in about 23 human losses in Korea every year. The slope disaster, however, mainly depends on the spatial and climate properties. such as geology, geomorphology, and heavy rainfall, and, hence, the prediction or hazard analysis of the slope disaster is a difficult task. Therefore, GIS and various statistical methods are implemented for slope disaster analysis. In particular, GIS technique is widely used for the analysis because it effectively handles large amount of spatial data. The GIS technique. however, only considers the statistics between slope disaster occurrence and related factors, not the mechanism. Accordingly. an infinite slope model that mechanically considers the balance of forces applied to the slope is suggested here with GIS for slope disaster analysis. According to the research results, the infinite slope model has a possibility that can be utilized for landslide prediction and hazard evaluation since 87.5% of landslide occurrence areas have been predicted by this technique.

Caving Disaster and Oil Spill Removal Adsorbent Mag-Sorbent

  • Soh, Dea-Wha;Soh, Hyun-Jin;Soh, Hyun-Jun;Soh, Hyun-Jae
    • Journal of the Speleological Society of Korea
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    • no.85
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    • pp.28-34
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    • 2008
  • For trying to frontal attack of new solution by fusion of technical tasks and conditions with it's solving methods of the essential tasks of marine resource development and environmental conservation in addition with elements of electronic high-technologies, the magnetic oil spill adsorbent of Mag-Sorbent* has been prepared and proposed to dispose oil spill from the marine disaster for preventing oil pollution by using them and their system with sequentially circular collection of oil spill mag-sorbent powder and fabrics on the electronic equipment like as barge robot for the scheme of sustainable development of environment-friendly technology. Because of recent marine accident occurred at Tae-An cost and earthquake in Sichuan province were very large scale accident of disaster to prevent and manage of them. So, it was verified from the experiment of electronic demonstrator that the skimmer system of oil spill mag-sorbent powder and fabrics prepared was very effective and useful technique to collect oil spill samples on the water surface specially at the closed space of underground cave. At this point, the barge-based electronic remote control was very useful system operating easily on the marine fields but also water level at the small pool to skim it with the environment-friendly system of the disposing marine disaster and preventing oil pollution using magnetic adsorbents of Mag-Sorbent*.

Disaster Assessment and Mitigation Planning: A Humanitarian Logistics Based Approach

  • Das, Kanchan;Lashkari, R.S.;Biswas, N.
    • Industrial Engineering and Management Systems
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    • v.12 no.4
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    • pp.336-350
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    • 2013
  • This paper proposes a mathematical modeling-based approach for assessing disaster effects and selecting suitable mitigation alternatives to provide humanitarian relief (HR) supplies, shelter, rescue services, and long-term services after a disaster event. Mitigation steps, such as arrangement of shelter and providing HR items (food, water, medicine, etc.) are the immediate requirements after a disaster. Since governments and non-governmental organizations (NGOs) providing humanitarian aid need to know the requirements of relief supplies and resources for collecting relief supplies, organizing and initiating mitigation steps, a quick assessment of the requirements is the precondition for effective disaster management. Based on satellite images from weather forecasting channels, an area/dimension of the disaster-affected zones and the extent of the overall damage may often be obtained. The proposed approach then estimates the requirements for HR supplies, supporting resources, and rescue services using the census and other government data. It then determines reliable transportation routes, optimum collection and distribution centers, alternatives for resource support, rescue services, and long-term help needed for the disaster-affected zones. A numerical example illustrates the applicability of the model in disaster mitigation planning.

A Study on the Safety Measures for Thermal Diseases, Focusing on the Cases of Disaster by Construction Industry

  • Hye-Ryeong O;Won-Mo GAL;Ok-Nam Park;Mi-Hwa JANG;Seok-Soon KWO;Seung-Hyuck PARK
    • Journal of Wellbeing Management and Applied Psychology
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    • v.7 no.2
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    • pp.49-56
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    • 2024
  • Purpose: Construction sites are currently facing a socialization problem as the incidence of thermal disease-related disasters increases due to summer heat waves, exacerbated by factors like the concentration of middle-aged and older workers and global warming. The reason why construction sites are particularly vulnerable to heat waves is that there are many outdoor work, which is the peculiarity of the construction industry, and most of the construction workers are elderly. This study analyzes disaster statistics of workers at construction sites for five years to investigate the occurrence of thermal diseases and analyze factors through disaster cases to provide basic data for future disasters to be reduced. Research design, data, and methodology: According to the Construction Workers' Mutual Aid Association, as of June, more than 60% of the construction workers working in the field were in their 50s and 60s. More than 24% are in their 60s and older. Thermal diseases caused by heat waves occur when exposed to high heat or strong sunlight for a long time, accompanied by headaches and dizziness. The problem is that many elderly people have underlying diseases, so if they lose consciousness, they cannot easily recover and are likely to die. Results: According to industrial accident statistics, 182 people were injured by heat-related diseases in the summer from 2016 to 2021, of which 29 died. In particular, in the construction industry, which has a lot of outdoor work, 87 people were injured and 20 people died. Conclusions: In order to prevent heat diseases caused by outdoor work, it is emphasized that exposure time is controlled, and sufficient rest and hydration are essential. Rest, water, and shade are in line with the three principles.

Two Models to Assess Fuzzy Risk of Natural Disaster in China

  • Chongfu, Huang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.1
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    • pp.16-26
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    • 1997
  • China is one of the few countries where natural disaster strike frequently and cause heavy damage. In this paper, we mathematically develop two models to assess fuzzy risk of natural disaster in China. One is to assess the risk based on database of historical disaster effects by using information diffusion method relevant in fuzzy information analysis. In another model, we give an overview over advanced method to calculate the risk of release, exposure and consequence assessent, where information distribution technique is used to calculate basic fuzzy relationships showing historical experience of natural disasters, and fuzzy approximate inference is employed to study loss risk based on these basic relationships. We also present an examples to show how to use the first model. Result show that the model is effective for natural disaster risk assessment.

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