• The Journal of Fisheries Business Administration
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• v.37 no.1 s.70
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• pp.73-93
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• 2006

This paper tries to apply the standard method for the estimation of range and degree of fisheries damages caused by warm water drained by generating plants to a real situation. The theoretic foundation of the study has been shown in the article published on the journal of fisheries business administration of last year. The paper tries to examine the degree of external appicability of the theoretic model through empirical study. The results of the study are as follows. The model has been found a successful device for the estimation of fisheries damages caused by warm water drained by generating plants. It also shows a possibility to work in any other fisheries damage cases caused by several kinds of public undertaking on coastal areas. The key of the model is the successful derivation of the quantity amount of the critical variation of environmental factors for example, in this case, water thermal variation. Therefore the countinous and appropriate collection of law data on the environmental factors under a viewpoint of statistics is essential to the usefulness of the model.

• The Journal of Fisheries Business Administration
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• v.41 no.2
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• pp.135-151
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• 2010

Conventional studies concerning about economic evaluation of fisheries damages caused by public undertakings have focused on showing the causality between marin environmental variation and fisheries production. But almost all of them have ignored the effect of fisheries damages factors on fisheries price. The study tries to suggest a model how to examine the existence and measurement of the effect of fisheries damage factors on fisheries price using statistical approach, in other words, the estimation of the statistical coincidence between two different population means. The paper tries to give a good application of the model using the case of fisheries damages caused by oil leakage pollution which happened three years ago in the coast of Taean province.

• Journal of Korea Society of Waste Management
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• v.35 no.8
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• pp.777-784
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• 2018

Since climate change increases the risk of extreme rainfall events, concerns on flood management have also increased. In order to rapidly recover from flood damages and prevent secondary damages, fast collection and treatment of flood debris are necessary. Therefore, a quick and precise estimation of flood debris generation is a crucial procedure in disaster management. Despite the importance of debris estimation, methodologies have not been well established. Given the intrinsic heterogeneity of flood debris from local conditions, a regional-scale model can increase the accuracy of the estimation. The objectives of this study are 1) to identify significant damage variables to predict the flood debris generation, 2) to ascertain the difference in the coefficients, and 3) to evaluate the accuracy of the debris estimation model. The scope of this work is flood events in Ulsan city region during 2008-2016. According to the correlation test and multicollinearity test, the number of damaged buildings, area of damaged cropland, and length of damaged roads were derived as significant parameters. Key parameters seems to be strongly dependent on regional conditions and not only selected parameters but also coefficients in this study were different from those in previous studies. The debris estimation in this study has better accuracy than previous models in nationwide scale. It can be said that the development of a regional-scale flood debris estimation model will enhance the accuracy of the prediction.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.4
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• pp.385-392
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• 2015

Open city information model can increase the understanding of the situation, enable the effective reuse of information due to access the semantic and relational conditions of objects, and support the reliable decision-making through linking with external references. The city information model focused on terrain and buildings was implemented based on the actual data. In addition, a process for flooding simulation was proposed using hydraulic analysis data and the city information model. The deaths and damages were estimated by flooding simulation. The availabilities were examined by detailed queries and responses based on model data of the city information model, hydraulic analysis data and the estimated damages.

• Journal of the Korean Society of Safety
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• v.12 no.1
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• pp.51-59
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• 1997

These days leakage incidents of toxic materials cause serious effects on the nearby residents as well as the workers around the accidents accompanying massive material losses and human damages through widening influential areas. The risk measure through adequate quantitative analysis as well as the qualitative analysis of the leakage incidents of toxic materials becomes an urgent issue. The damage of the leakage incident on the surrounding area of the dangerous toxic material facilities was calculated quantitatively by adopting several models in this research. First, the calculations of the leakage velocity from the factories were performed by using source model for the assessment of the influential area, and the damages on the nearly residents were calculated by using the dispersion model and the effort model. The probability of the Incidents was computed based on "The manual for classification and priorization of major incidents" published by IAEA( International Atomic Energy Agency ). Above calculated damage area and incident probability were further adopted in this study to induce the individual and societal risk, quantitatively. The calculated data of the real Incident of the toxic material leakage showed reasonable agreements to the actual damage of the incidents, which showed a validity of this study. The result of this study might be a helpful measure for predicting damages and preparing safety systems for similar kinds of incidents.incidents.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.61-72
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• 2017

Due to the climate change, damages of human life and property caused by natural disaster have recently been increasing consistently. In South Korea, total damage by natural disasters over 20 years from 1994 to 2013 is about 1.0 million dollars. The 13% of total damage caused by heavy snow. This is smaller amount than the damage by heavy rainfall or typhoon, but still could cause severe damage in the society. In this study, the snow damage in Gangwon region was estimated using climate variables (daily maximum snow depth, relative humidity, minimum temperature) and scoio-economic variables (Farm population density, GRDP). Multiple regression analysis with enter method was applied to estimate snow damage. As the results, adjusted R-square is above 0.7 in some sub-regions and shows the good applicability although the extreme values are not predicted well. The developed model might be applied for the prompt disaster response.

• Earthquakes and Structures
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• v.8 no.5
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• pp.1113-1126
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• 2015

A damage localization algorithm based on Operational Deformed Shapes and known as Interpolation Damage Detection Method, is herein applied to the finite element model of a cable stayed bridge for detecting and localizing damages in the stays and the supporting steel beams under the bridge deck. Frequency Response Functions have been calculated basing on the responses of the bridge model to low intensity seismic excitations and used to recover the Operational Deformed Shapes both in the transversal and in the vertical direction. The analyses have been carried in the undamaged configuration and repeated in several different damaged configurations. Results show that the method is able to detect the damage and its correct location, provided an accurate estimation of the Operational Deformed Shapes is available. Furthermore, the damage detection algorithm results effective also when damages coexist at the same time at several location of the cable-stayed bridge members.

• Korean small business review
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• v.42 no.1
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• pp.19-41
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• 2020

In Korea, punitive damages were introduced in the 2011 Fair Transactions in Subcontracting Act(FTSA), and in 2019 the Patent Act, Trade Secret Protection Act(TSPA), Industrial Technology Protection Act(ITPA), and Mutually Beneficial Cooperation Act(MBCA). In punitive damages, the judgment of 'intentional' is especially important, and it is necessary to refer to US precedents since there is no accumulated case. Major Company can avoid intentional counseling through the advice of lawyers, but SMEs may have to punish punitive damages due to a lack of awareness of the system. In the case of TSPA, ITPA, FTSA, and MBCA, except for Patent Act, the provisions related to proof of damage have not been well maintained yet. Therefore, the data submission order system of these laws needs to be revised to the level of patent Act need to be. TSPA needs to be amended in the future to estimate the amount of the royalties in estimating the amount of damages so that it can receive the 'reasonably' estimated amount rather than the usual amount. On the other hand, ITPA, FTSA, and MBCA do not have any provisions for the estimation of damages. Besides, it is difficult to evaluate the technology value in the case of leakage or deodorization of new technologies. Therefore, valuation needs to be carried out by a credible institution along with the development of a model for calculating damages.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.2
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• pp.65-73
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• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.325-331
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• 2017

Due to the climate change, natural disaster has been occurred more frequently and the number of snow disasters has been also increased. Therefore, many researches have been conducted to predict the amount of snow damages and to reduce snow damages. In this study, snow damages over last 21 years on the Natural Disaster Report were analyzed. As a result, Chungcheong-do, Jeolla-do, and Gangwon-do have the highest number of snow disasters. The multiple linear regression models were developed using the snow damage data of these three provinces. Daily fresh snow depth, daily maximum, minimum, and average temperatures, and relative humidity were considered as possible inputs for climate factors. Inputs for socio-economic factors were regional area, greenhouse area, farming population, and farming population over 60. Different regression models were developed based on the daily maximum snow depth. As results, the model efficiency considering all damage (including low snow depth) data was very low, however, the model only using the high snow depth (more than 25 cm) has more than 70% of fitness. It is because that, when the snow depth is high, the snow damage is mostly caused by the snow load itself. It is suggested that the 25 cm of snow depth could be used as the snow damage threshold based on this analysis.