• Title/Summary/Keyword: hazardous areas

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A HAZARDOUS AREA IDENTIFICATION MODEL USING AUTOMATED DATA COLLECTION (ADC) BASED ON BUILDING INFORMATION MODELLING (BIM)

  • Hyunsoo Kim;Hyun-Soo Lee;Moonseo Park;Sungjoo Hwang
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.17-22
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    • 2011
  • A considerable number of construction disasters occur on pathways. Safety management is usually performed on construction sites to prevent accidents in activity areas. This means that the safety management level of hazards on pathways is relatively minimized. Many researchers have noted that hazard identification is fundamental to safety management. Thus, algorithms for helping safety managers to identify hazardous areas are developed using automated data collection technology. These algorithms primarily search for potential hazardous areas by comparing workers' location logs based on a real-time location system and optimal routes based on BIM. Potential hazardous areas are filtered by identified hazardous areas and activity areas. After that, safety managers are provided with information about potential hazardous areas and can establish proper safety countermeasures. This can help to improve safety on construction sites.

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The Effect of the Change of Wind Velocity on the Classification of Explosion Hazardous Area (폭발위험장소 선정 시 풍속 변화에 관한 연구)

  • Kwon, Yong-Joong;Kim, Dong-Joon
    • Korean Journal of Hazardous Materials
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    • v.6 no.2
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    • pp.62-67
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    • 2018
  • It is very important to classify explosion hazardous area in order to prevent an accident explosion. In order to prevent such a explosion, the Industrial Safety and Health Standards Rules stipulates the establishment and management of explosion hazards in accordance with the criteria set by the Korean Industrial Standards. This study has investigated the range of the explosion hazardous area according to various hole sizes, pressures, vapor densities, and wind velocities in the outdoor flammable liquid tank using KS C IEC-60079-10-1 $2^{nd}$ Ed.(=IEC CODE) and PHAST. The results show that the explosion hazardous areas by IEC CODE have circle shapes. However, the areas by PHAST show ellipse shapes. The different of the explosion hazardous areas increases with the increase of wind velocity.

Concentrations of SPM and Ambient Hazardous Heavy Metals in an Industrial Complex Area in Daegu City (대구시 산단지역 대기 중 SPM과 유해중금속성분의 농도)

  • Song, Hee-Bong;Kwon, Jong-Dae;Park, Su-Kyoung;Kim, Eun-Kyung;Yoon, Hyun-Suk;Ju, Myeong-Hui;Bae, Gi-Soo
    • Journal of Environmental Health Sciences
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    • v.41 no.4
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    • pp.259-267
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    • 2015
  • Objectives: This study evaluated the regional and seasonal concentrations of ambient hazardous heavy metals in an industrial complex area in Daegu City. Methods: A total of 64 SPM (Suspended Particulate Matter) samples were collected in non-industrial and industrial areas during 2014 and were analyzed for hazardous heavy metals elements (As, Cd, Mn, Ni, Pb) with ICP after acid extraction. Results: SPM and hazardous heavy metals concentrations showed regional (industrial complex area>non-industrial complex area) and seasonal (spring, winter>fall, summer) variations. All of the hazardous heavy metals were influenced by anthropogenic sources. The pollution index of hazardous heavy metals was very low, showing roughly one-quarter of the level of the air quality guidelines of WHO. The correlation analysis among SPM and hazardous heavy metals indicated that components of non-industrial complex areas were more related to each other than those of industrial complex areas, and the correlation in the winter was higher than in other seasons. Conclusion: It is necessary to control air pollution sources and establish related policy because hazardous heavy metals from industrial areas can influence residential areas.

A Method to Measure Damage Areas on Railway Accidents by the HAZMATs types using GIS Spatial Analysis (GIS 공간 분석기법을 활용한 위험물질별 철도사고 피해규모 자동추출방안에 관한 연구)

  • Park, Min-Kyu;Kim, Si-Gon;Lee, Won-Tae
    • Journal of the Korea Safety Management & Science
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    • v.12 no.1
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    • pp.35-42
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    • 2010
  • Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.

Electrical Machines and Drives for Potentially Explosive Atmospheres

  • Grantham, Colin
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.1
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    • pp.128-134
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    • 2012
  • This paper gives an overview of the requirements for electrical equipment in potentially explosive atmospheres and describes how these are applied to electrical machines and drives in hazardous areas. The method by which equipment can be shown to be safe in a whole range of gases, by testing in a single test gas, is covered. It is shown how the more recently introduced methods of protection for hazardous areas, increased safety and nonsparking, are ideally suited to AC machines and drives. A novel method of measuring the fullload temperature rise of electrical machines for hazardous, and other areas, without the need to connect a mechanical load to the machine's drive shaft is explained.

Hazardous Area Identification Model using Automated Data Collection(ADC) based on BIM (BIM기반 자동화 데이터 수집기술을 활용한 위험지역 식별 모델)

  • Kim, Hyun-Soo;Lee, Hyun-Soo;Park, Moon-Seo;Lee, Kwang-Pyo;Pyeon, Jae-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.6
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    • pp.14-23
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    • 2010
  • A considerable number of construction disasters occurs on pathway. A safety management in construction sites is usually performed to prevent accidents in activity areas. This means that safety management level of hazards on pathway is relatively minified. Many researchers have introduced that a hazard identification is fundamental of safety management. Thus, algorithms for helping safety managers' hazardous area identification is developed using automated data collection technology. These algorithms primarily search potential hazardous area by comparing workers' location logs based on real-time locating system and optimal routes based on BIM. And potential hazardous areas is filtered by identified hazardous areas and activity areas. After that, safety managers are provided with information about potential hazardous areas and can establish proper safety countermeasures. This can help improving safety in construction sites.

A Method to Measure Damage Areas by the types of Railroad Hazardous Material through GIS Spatial Analysis (GIS 공간 분석기법을 통한 철도사고위험물질별 피해규모 자동추출방안)

  • Kim, Sang-Gyun;Kim, Si-Gon;Lee, Won-Tea
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1769-1778
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    • 2009
  • Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.

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A Study on Explosive Hazardous Areas in Hydrogen Handling Facility (수소 취급설비의 폭발위험장소에 관한 연구)

  • PYO, DON-YOUNG;LIM, OCK-TAECK
    • Journal of Hydrogen and New Energy
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    • v.30 no.1
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    • pp.29-34
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    • 2019
  • Safety of hydrogen handling facilities is needed as supply of hydrogen cars has been expanded recently. In this study, the adequacy of safety regulations of hydrogen handling facilities and the risk of damage with hydrogen leakage were studied. The range of explosion hazard location of the hydrogen filling plant was investigated using the computational fluid dynamics (CFD) method, Explosive hazardous area is influenced by leakage type, hole size and sectional area. When the conditions of KS standard are applied, range explosive hazardous area is expanded 7.05 m, maximum. It is about 7 times larger than exceptional standard of hydrogen station. Meanwhile, distance from leakage point to 25% LEL of hydrogen is investigated 1.6 m. Considering the shape of charging hose, regulation of hydrogen station is appropriate.

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.

Application of Drones for the Analysis of Hazard Areas in Mountainous Disaster (산지재해 발생 위험지역 분석을 위한 드론의 적용)

  • Lee, Jeong Hoon;Jun, Kye Won;Jun, Byong Hee
    • Journal of the Korean Society of Safety
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    • v.33 no.3
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    • pp.65-70
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    • 2018
  • Terrain data for disaster analysis in hazardous or disaster areas is not only important but also needs to be built quickly. In particular, the introduction of drones is in the early stages of research using drones in a variety of fields such as shooting, analyzing and managing hazardous areas. It is expected that drone will be faster, safer and more effective than existing data collection method in case of small scale disaster hazard area and disaster area where equipment or manpower input is difficult. Therefore, in this study, drone shooting was performed for hazardous areas in mountainous roads located in Samcheok city, Gangwon province, and ground reference points were measured by RTK-GPS. The measured data were converted into DSM (Digital Surface Model) data by coordinate correction using Pix4D postprocessing program and then applied to the analysis of the hazard area of mountainous area. As a result, it was shown that it is effective to identify the risk by using the basic terrain data obtained from the drones.