• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.154-154
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• 2017

전 세계적인 기후변동과 기후변화의 영향으로 대규모 인명 및 재산피해를 유발하는 자연재난의 빈도와 강도가 증가하고 있다. 이렇게 변화하는 상황에서 효율적인 대책을 수립하기 위해서는 재해에 노출된 특성을 지역적 특성과 함께 고려하여 지역별로 재해에 위험한 정도를 평가하는 것이 선행되어지고, 재난 피해 발생전에 피해 지역 및 범위를 예측하는 것이 필요하다고 판단된다. 따라서 본 연구에서는 국내 자연재난 피해의 65% 이상을 차지하는 호우피해를 대상으로 PSR(Pressure-State-Response) 구조를 이용하여 호우피해위험지수(Heavy rain Damage Risk Index, HDRI)를 제안하여 호우 위험도를 평가하고자하였다. 또한 도출된 지역별 위험등급에 따른 호우피해 예측함수를 개발하여 재해발생 전에 개략적인 피해의 범위를 예측하고자 하였다. 먼저 지역별 호우 위험도 평가를 위해 압력지표, 현상지표, 대책지표를 구축하고, 주성분분석을 이용하여 평가지표를 결정하였다. 결정된 평가지표를 동일한 가중치를 부여하여 호우피해위험지수를 도출하였다. 분석결과, 경기도 31개 지자체 중에서 가장 안전한 1등급인 지자체는 15개의 지자체로 나타났으며, 2등급인 지자체는 7개, 3등급인 지자체는 9개로 분류되었다. 지자체별 호우 위험도 등급에 따라서 재해기간별 총강우량, 재해일수, 선행강우량(1~5일), 지속시간별 최대강우량(1~24시간) 등의 자료를 설명변수로 구축하였고, 다중회귀모형과 주성분분석을 활용하여 예측함수를 개발하였다. 등급별 호우피해 예측함수는 N-RMSE가 12~18%로 호우피해를 적절하게 예측하는 것으로 평가되었다. 본 연구를 통해 지자체별 호우피해위험도 등급을 파악 할 수 있으며, 평가된 호우피해위험도 등급별로 호우피해 예측함수 개발을 통해 사전에 호우피해 발생 및 규모를 파악할 수 있게 되었다. 따라서 본 연구의 결과는 각 지자체 및 관련 부처에서 효과적인 방재체계를 수립하는데 있어 기초자료로 활용될 수 있을 것으로 판단된다.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.41-47
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• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.1
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• pp.21-29
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• 2010

The concept of carrying capacity for bivalve culture of an area can be classified into four hierarchical categories, according to their level of complexity and scope, such as physical, production, ecological and social carrying capacity. Most scientific efforts to date have been directed towards modelling production carrying capacity and some of the resultant models have been used successfully. But, the modelling of ecological carrying capacity is still in its infancy, because it should consider the whole ecosystem and all culture activities. A more holistic approach is needed to determine the influence of bivalve aquaculture on the environment and ecological carrying capacity. As an alternative, we can use a set of ecological indicators which can show the environmental performance of bivalve farms and assess ecological carrying capacity. Clearance efficiency and filtration pressure indicators show the value of 0.331 and 0.203, respectively, and these indicators suggest that the present level of culture in GeojeHansan Bay is above the ecological carrying capacity of 0.05. Consequently, these indicators can provide a guidance on the present level of culture in regard to production and ecological carrying capacity in GeojeHansan Bay.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.3
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• pp.175-182
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• 2011

The desire for living without hazardous damages grows these days, the city strategy to make the safer community has become an issue. The global assessment for the flood index require the process considering different climate of the world cities. In this study, the actual rainfall observations of the world's major cities were collected. To compare different rainfall characteristics, we calculated some indicators such as frequency factor etc using the probable maximum precipitation. Using the results of these indicators, major cities in Korea show greater variability in the rainfall characteristics when compared to other major cities in the world. These results are expected to be useful for the development of global flood risk assessment as well as the setting the direction for future flood prevention measures.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.512-512
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• 2022

국내 수자원 시스템은 이수 관련 기준과 이를 평가할 수 있는 지표 및 방법, 지침이 미흡한 실정으로 관련 시설물의 안정성과 형평성에 대한 문제가 제기되어 왔다. 농업용 저수지의 경우 한발 시 관개용수를 공급할 수 있는 내한능력, 기존 설계기준에 의한 물수지법에 따른 저수지의 설계한발빈도를 대체 사용하여 이수안전도를 산정하고 있으며, 설계한발빈도인 10년 한발빈도는 10년에 1회 정도의 갈수를 기준으로 한다. 농업용 저수지의 축조년도는 1940-1970년대로 약 86%가 축조된 지 50년 이상 경과하였고, 대부분 설계 한발빈도가 10년 이하로 축조되었으나 최근 발생하고 있는 기후변화, 용수관리 환경 변화, 수요량의 변화, 설계한발빈도 변화 등으로 현시점의 이수안전도 파악이 필요한 실정이다. 본 연구에서는 국가물관리기본계획에서 준용하고 있는 신뢰도 관련 이수안전도 기준인 이수안전율과 공급신뢰율을 활용하여 농업용 저수지의 이수안전도를 산정하고 기존 농업용 저수지의 이수안전도 기준인 10년 한발빈도와 비교함으로써, 농업용 저수지 이수안전도 산정기준의 적정성을 평가하고자 한다. 신뢰도 기준은 장기간 계획기간 동안 저수지의 용수부족이 얼마나 발생하는가에 대한 평가 방법으로 이수안전율은 최대 부족량과 수요량으로 산정가능한 양적기준 신뢰도이며, 공급신뢰율은 물공급부족기간으로 산정가능한 시간기준 신뢰도이다. 신뢰도 기준에 의한 방법은 저수지 모의 운영을 통한 물수지 분석을 실시하여 산정이 가능하며, 물수지 분석을 위해 한국농어촌공사에서 개발한 수리수문설계시스템 (K-HAS, Hydraulics & Hydrology Analysis System)을 사용하였다. 본 연구의 결과는 농업용 저수지의 이수관리 계획 수립 및 내한능력 평가 등 국가수자원정책의 지표로 활용할 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.5-5
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• 2023

제3차 우주개발 진흥 기본계획의 일환으로써 개발되는 차세대 중형위성 5호인 수자원위성은 수자원/수재해 감시 전용 위성으로 2025년 발사 예정이다. 수자원위성의 메인 센서인 C-band 영상레이더(Synthetic Aperture Radar, SAR)는 기상조건 및 주야 상관없이 지표면 관측이 가능한 센서로 급변하는 수재해 양상에 효과적으로 대응하기 위해 탑재된 센서이다. 본 연구사업은 차세대 수자원위성의 효과적 활용 방안 및 SAR 자료기반의 활용산출물 및 주제도 서비스를 위한 알고리즘 구조설계 및 표출시스템 시범개발을 목표로 하고 있으며, 홍수/가뭄/안전/환경모니터링을 주제로 수자원 및 원격탐사 분야의 다학제적 전문가들로 구성된 컨소시엄을 구성하여 추진하고 있다. 본 연구의 내용은 가뭄 모니터링을 위해 개발 중인 SAR 기반 토양수분과 농업적 가뭄지수 산정 알고리즘 개발 및 공간적 표출을 포함한다. 토양수분은 SAR 영상에서 지표피복별로 추출된 후방산란계수와 수문학적 개념의 융합을 통해 논/밭/산림에 대해 산정한다. 물리적 특성에 기반한 변화탐지모델을 활용해 토양수분량을 추출 후, 기계학습기법과 S C S - C N 방법에서 파생된 수문학적 개념 5일 선행강우량과 결합한 토양수분 산정 알고리즘을 개발하였다. 산정된 토양수분을 기반으로, 논 지역은 벼 재배에 따른 담수 시기를 고려한 토양의 포화/불포화상태, 밭 지역은 토양 종류에 따른 토양의 물리적 특성, 산림 지역은 수문학적 개념 및 식생지수를 활용하여 가뭄 판단 기준을 구축하고, 가뭄의 해갈 여부와 해갈되는 시점의 강우량을 산정 가능한 알고리즘을 개발하였다. 개발된 가뭄 모니터링 기법은 향후 고도화, 최적화 및 안정화를 통해 수자원위성의 핵심 활용기술로써 구현할 계획이다.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.165-184
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• 2023

Since municipal welfare institutions operate for different purposes from general companies or public enterprises, ESG practice items and model construction should be conducted through various and comprehensive social welfare studies. Since there are not many studies available in domestic welfare institutions yet and there are no suitable ESG management utilization indicators, the Cheonan Welfare Foundation's strategy and management strategy system were established to spread the model to other welfare institutions and become a leading foundation through education and training. The foundation and front-line welfare institutions selected issues identification and key issues through the foundation's empirical analysis and criticality analysis, focusing on understanding ESG management and ways to establish a practice model that positively affects institutional image and business performance. Based on this, the promotion system was examined by establishing a performance management plan after deriving appropriate strategies and establishing a strategic system for social welfare institutions. Environmental and social responsibility, transparent management, safety management system establishment, emergency and prevention, user (customer) satisfaction system establishment, anti-corruption prevention and integrity ethics monitoring and evaluation, responsible supply chains, and community contribution programs. This study attempted to specifically present efforts to settle ESG management through the consideration of the Cheonan Welfare Foundation. Therefore, it is considered to be useful data for developing ESG management by referring to the systematic development process of the Cheonan City Restoration Foundation to develop ESG measurement indicators.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.1
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• pp.1-6
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• 2011

The underlying principle of environmental conservation and restoration is to receive continuous services from nature. In this context, the basic objective of oil spill response and recovery activities is to allow affected residents to retain sustainability of their daily livelihood and productive environment. Hence, monitoring the status of socio-economic impact and the extent of restoration is an important parameter in the restoration effort to repair the damaged functions of environmental services with oil spill accident. However, assessment of socio-economic impact poses investigators with much difficulties in selecting the most appropriate approaches because the process often involves various stakeholders, directly and indirectly. Moreover, the analyses and interpretation of the results also pose a great challenge. The present study monitored fisheries and tourism numbers which were considered as major local socio-economic indicators of living and production environment affected by M/T Hebei Spirit oil-spill accident. This monitoring was conducted by examining the published papers and statistical reports. This was supplemented by surveying how the local residents actually felt about the damage and recovery for the first time in Korea. The results showed that the rate of the recovery was about 40~50 %, and the rate of the recovery seemed to be slowed or decreased. However, what the local residents actually felt was 2~10 points less than the literature surveys and statistical reports. These results suggested limits to using only the literature and statistical surveys for the traditional socio-economic impact assessment. The study also showed the need to include in the impact assessment process what and how the local residents actual feel about the oil spill damage and recovery process.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.11 no.3
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• pp.207-212
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• 2013

Since the Fukushima nuclear power plant accident in March 2011, critical views on the increase in operation of nuclear power plants including the safety and the economic feasibility thereof have been expanding across the world. In these circumstances, we are to find out solutions to the controversial questions on whether nuclear power plants are economically more feasible than other energy sources, while the safety thereof is fully maintained. Thereby, nuclear power plants will play a key role as a sustainable energy source in the future as well as at present. To measure the social safety level that Korean people are actually feeling after the Fukushima accident, a method of cost-benefit analysis called the Contingent Valuation Method(CVM) was used, whereby we wanted to estimate the amount of expenses the general public would be willing to pay for the safety based on their acceptance rather than the social safety. As a result of calculating the trade-off value of the economic feasibility versus the safety in nuclear power plants through the survey thereon, it caused the nuclear power generation cost to be increased by 4.75 won/kWh. Reflecting this on the current power generation cost of 39.11 won/kWh would increase the cost to 43.86 won/kWh. It is thought that this potential cost is still more competitive than the coal-fired power generation cost of 67 won/kWh. This result will be available as a basic data for the 2nd Energy Basic Plan to be drawn up this year, presenting policy implications at the same time.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.128-135
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• 2022

The comparative evaluation of occupational accident fatality rates (OAFRs) of different countries is complicated owing to the differences in their level of socio-economic development. However, such evaluation is necessary to assess the national occupational safety and health system of a country. This study proposes a statistical method to compare the OAFRs of countries taking into consideration the difference in their level of socio-economic development. We first collected data on the socio-economic indicators and OAFRs of 11 countries over a 30-year period. Next, based on literature survey and statistical correlation analysis, we selected the significant independent variables and built multiple linear regression models to predict OAFR. We also determined the groups of countries having heterogeneous relationships between the independent variables and OAFRs, which are represented by the regression models. The proposed method is demonstrated by comparing the OAFR of Korea with the OAFRs of 10 other developed countries.