• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.5
• /
• pp.561-568
• /
• 2019

Recently, Korea has suffered from severe droughts due to climate change. Therefore, we need to pay attention to the change of drought risk to develop appropriate drought mitigation measures. In this study, we investigated the changes of hydrologic risk of extreme drought using the current observed data and the projected data according to the RCP 4.5 and 8.5 climate change scenarios. The bivariate frequency analysis was performed for the paired data of drought duration and severity extracted by the threshold level method and by eliminating pooling and minor droughts. Based on the hydrologic risk of extreme drought events Jeonbuk showed the highest risk and increased by 51 % than the past for the RCP 4.5 scenario, while Gangwon showed the highest risk and increased by 47 % than the past for the RCP 8.5 scenario.

• Safety and Health at Work
• /
• v.8 no.3
• /
• pp.267-275
• /
• 2017

Background: The mining industry is known worldwide for its highly risky and hazardous working environment. Technological advancement in ore extraction techniques for proliferation of production levels has caused further concern for safety in this industry. Research so far in the area of safety has revealed that the majority of incidents in hazardous industry take place because of human error, the control of which would enhance safety levels in working sites to a considerable extent. Methods: The present work focuses upon the analysis of human factors such as unsafe acts, preconditions for unsafe acts, unsafe leadership, and organizational influences. A modified human factor analysis and classification system (HFACS) was adopted and an accident predictive fuzzy reasoning approach (FRA)-based system was developed to predict the likelihood of accidents for manganese mines in India, using analysis of factors such as age, experience of worker, shift of work, etc. Results: The outcome of the analysis indicated that skill-based errors are most critical and require immediate attention for mitigation. The FRA-based accident prediction system developed gives an outcome as an indicative risk score associated with the identified accident-prone situation, based upon which a suitable plan for mitigation can be developed. Conclusion: Unsafe acts of the worker are the most critical human factors identified to be controlled on priority basis. A significant association of factors (namely age, experience of the worker, and shift of work) with unsafe acts performed by the operator is identified based upon which the FRA-based accident prediction model is proposed.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.4
• /
• pp.21-28
• /
• 2009

Most of domestic shipyards are located at coastal regions which are affected by typhoons nearly every year. For effectiveness of shipbuilding, shipyards contain many facilities which are light-weighted and affected dominantly by wind. In the present paper, we analyze various wind fields over a shipyard including surrounding topology and structures to evaluate the structural safety of the facilities posed in the strong wind. Extreme wind speed for a study region was estimated by typhoon Monte Carlo simulation and then used for inlet wind speed for CFD analysis for wind load on the facilities. Considering geometrical wind effects, we assess the surface pressure of the elements as the pressure factor, the ratio of surface pressure to dynamic pressure. The results show that the simulated wind speed is greater than the design wind speed for the some facilities because of the shipyard's geometry. It also shows that surrounding topography in coastal area is needed to be considered and adjustment for design wind speed at wind load standard application is necessary for mooring ship and industry facilities.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.7 no.5
• /
• pp.119-127
• /
• 2007

We reconstructed the community disaster risk and patterns of damage magnitude using 'Annual Report of National Disaster Data'. And we developed the inspection index for damage reduction capacity of each facility or each damage prevention measure. The inspection indices include climatic and hydrological vulnerabilities, and disaster probability components. Also we considered all indices and components for DB construction on the GIS system. Then we constructed 'Inspection for Safety Degree of Community System(ISDCS)' according to the facility's criteria from the combination of damage reduction capacity of facility and damage magnitude. The safety index has designed a system that encourages communities to carry out a list of activities in the raw from natural disaster. The activities ultimately saves lives, reduce property damage, and protect disaster facilities. Damage patterns were also analyzed according to damage type using pattern analysis and GIS.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.10 no.6
• /
• pp.45-52
• /
• 2010

One of the ways to minimize damage by a slope collapse is to set up preventive measures in advance by measuring displacements in a slope and predicting a collapse. There have been many different technologies developed to predict a collapse with diverse measuring equipment. Especially recently, attempts have been made to utilize terrestrial LiDAR, a high-tech imaging equipment to measure displacements on a scope. Terrestrial LiDAR generates three-dimensional information about an object with millimeter-level accuracy from hundreds of meters away and has been used in an array of fields including restoration of cultural assets, three-dimensional modeling, and making of topographic maps. In recent years, it has been used to measure displacements in structure as well. This study monitored displacements in slopes of high collapse risk with terrestrial LiDAR. As a result, it was able to confirm the applicability of terrestrial LiDAR to the field, and proposed monitoring methods.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.32 no.5B
• /
• pp.267-272
• /
• 2012

To reduce the flood risk caused by unexpected heavy rainfall, many prediction methods for flood have been developed. A major constituent of flood prediction is an accurate rainfall estimation which is an input of hydrologic models. In this study, a regional-scale weather model which can provide relatively longer lead time for flood mitigation compared to the Nowcasting based on radar system will be introduced and applied to the Chongmi river basin located in central part of South Korea. The duration of application of a regional weather model is from July 11 to July 23 in 2006. The estimated rainfall amounts were compared with observations from rain gauges (Sangkeuk, Samjook, and Sulsung). For this rainfall event at Chongmi river basin, Thomson and Kain-Frisch Schemes for microphysics and cumulus parameterization, respectively, were selected as optimal physical conditions to present rainfall fall amount in terms of Mean Absolute Relative Errors (MARE>0.45).

• Magazine of the Korean Society of Hazard Mitigation
• /
• v.3 no.1 s.8
• /
• pp.41-48
• /
• 2003

오염토양을 관리하는데 있어 현재 가장 중요하게 인식되는 부분은 오염물질이 정화되었다는 판정을 '어떤 기준으로 내리는 것이 합리적인가?'하는 것이다. 오염된 토양을 '어느 정도의 수준으로 복구를 하여야 하는가?'에 대한 의문이 학계와 산업계를 중심으로 꾸준히 제기되어 왔으며 미국의 경우, 환경청(Environmental Protection Agency) 등을 중심으로 그러한 물음에 대한 해답을 찾기 위한 본격적인 연구 및 조사활동이 활발히 진행되고 있다. 지금까지는 오염물질의 토양잔류농도와 획일화된 규제기준을 비교하여 오염여부를 판단한 후 복구여부 및 수준이 결정되어 왔는데 이러한 방법에 문제점이 있으며 현실적이지 못하다는 과학적 증거들이 발견, 축적되면서 이에 대한 대안이 모색되기 시작하였고 그 중의 하나가 '위해성에 근거한 복원전략(risk-based remediation strategy, RBRS)' 이라고 할 수 있다. RBRS는 오염토양의 정화기준을 결정하는데 있어 기존의 화학적 방법(즉, 토양잔류농도)뿐만 아니라 생물학적, 독성학적 방법도 같이 사용함으로써 오염물질의 실질적인 이용성에 따른 생독성을 평가하는 방법이다. RBRS의 가장 큰 장점은 오염물질의 종류뿐만 아니라 오염 지역의 특수성(예: 토지이용용도, 토양 및 지하수 특성, 수용체 집단의 특성 등)을 고려하여 오염물질의 위해성(risk) 여부를 판단하며 그 결과에 의거하여 오염지역의 정화 실시 여부 및 수준을 결정한다는 것이다. 따라서 RBRS에 의한 정화 및 복구사업은 과학적, 합리적, 경제적인 바탕 위에서 시행된다고 볼 수 있다. 이러한 장점들을 이유로 우리나라에서도 향후 오염지역의 정화에 RBRS와 같은 개념이 이용될 것으로 예상되며 학계를 중심으로 이에 대한 인식과 이해의 폭을 넓혀 나가야 할 것이다.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.6 no.2 s.21
• /
• pp.25-35
• /
• 2006

Recently seismic fragility analysis method has been widely used for the seismic probabilistic risk assessment of infrastructures such as nuclear power plants, buildings and bridges because of its probabilistic characteristics. Furthermore, this technique has been applied to large-scale social systems consisted of each infrastructures by combing GIS. In this paper, the applicability of this technique to domestic infrastructural systems was studied. The transportation network was selected as one of these domestic infrastructural systems. Example studies were peformed about Changwon city. Nonlinear time history analysis, with a maximal likelihood approach were conducted to establish the fragility curves of each infrastrucures (bridges). GIS analysis was also applied to the analysis of whole infrastructural systems. The results show that it is very useful to predict seismic probabilistic risk assessment of this domestic transportation network. However, it also shows that further studies such as more suitable damage criterion to domestic structure and precise nonlinear analysis techniques should be developed to predict more precise results.

• Journal of Soil and Groundwater Environment
• /
• v.22 no.6
• /
• pp.1-11
• /
• 2017

This study was conducted to investigate the performance of four commercial chemical agents in stabilizing arsenic (As) in soil at the forest area near the former Janghang smelter site. After amending the stabilizing agents (A, B, C, and D) into As-contaminated soil samples, synthetic precipitation leaching procedure (SPLP) and solubility bioavailability research consortium (SBRC)-extractable As concentrations significantly decreased except for agent D, which is mainly composed of fly ash and calcium carbonate. Increase of SPLP and SBRC-extractable As concentrations in four soil samples (S1, S2, S3, and J2) was attributed to desorption of As adsorbed on iron oxides due to high pH generated by agent D. It is therefore necessary to consider application conditions according to soil characteristics such as pH and buffering capacity. Results of sequential extraction showed that readily extractable fractions of As in soil (i.e., sum of $SO_4-$ and $PO_4-extractable$ As in soil) were converted into non-readily extractable fractions by amending agents A, B, and C. Such changes in the As distribution in soil resulted in the decrease of SPLP and SBRC-extractable As concentration. A series of follow-up monitoring and management plan has been suggested to assess the longevity of the stabilization treatments in the site.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.1
• /
• pp.91-97
• /
• 2009

Hazardous material (HazMat) is the material or substance that poses an unreasonable risk to human safety and health, and to property when transported in gases, solids, and liquids of all sizes. When HazMats are improperly released, they have potential to harm humans, property, or the environment to be considered hazardous, resulting in human-caused disasters. As the Korean economy has advanced, the use of HazMats has increased. And, the total number and the impacts of HazMat incidents have grown up. It increases the risk of HazMat incidents. When many goods of HazMats are transported from supply points to demand places, it is important to know what the types and characteristics of HazMat incidents are in terms of disaster management. The objectives of this research are: (1) to investigate types and characteristics of HazMats that generate HazMat incidents in Korea, and (2) to analyze time-series trends of HazMat incidents in terms of facilities and/or transportation. Statistical analysis methods including frequency analysis or analysis of category data are applied to examine the significance of difference in HazMat incidents.