• 대한토목학회논문집
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• 제42권4호
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• pp.457-467
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• 2022

가뭄은 지역적 특성이 강하게 나타나므로 가뭄이 진행하는 상태나 심한 정도를 정의할 수 있는 객관적인 정의나 기준이 필요하다. 이를 위해 가뭄지수(drought index)란 개념은 증발산량을 정량적으로 제시하면서 시작되었으며, 현재까지 전 세계적으로 많은 가뭄 관련 연구가 수행되고 있다. 본 연구에서는 대표적인 기상학적 가뭄지수인 표준 강수 지수(SPI)를 산정하였고, 실질적인 가뭄을 고려할 수 있는 가뭄 위험 지수(DRI)를 가뭄 취약성 지수(DVI)와 가뭄 위험요소 지수(DHI)를 대상지역인 의령군에 적용하여 안정적인 용수공급 체계를 마련할 수 있는 실제적인 가뭄의 평가에 대한 방법을 제시하였다.

• 수산경영론집
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• 제42권1호
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• pp.57-70
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• 2011

Fisheries are subject to unexpected weather condition. While some change of it may be positive for some fisheries, the current state suggests that the effects will be undesirable for many fisheries. The aim of this study is to assess the vulnerability to climate change in 11 regional fisheries of Korea using the framework of IPCC. The vulnerability assessment depends upon the interrelation of three key elements; exposure, sensitivity and adaptive capacity, which were derived from Analytical Hierarchy Process method in this study. These elements would contribute to comprehend relative importance at the regional characteristics of fisheries. We compared the vulnerability index of 11 regional fisheries so as to look for strategies and adaptation methods to the impacts of potential climate change. Jeoun-Nam, Kyeong-Nam, and Jeju are identified as the most vulnerable provinces to climate change on their fisheries because they have high level of sensitivity to predicted climate change and relatively low adaptive capacity. The relatively low vulnerability of Ulsan, Gyeonggi reflects high financial independence, well-equipped infrastructure, social capital in these regions. Understanding of vulnerability to climate change suggests future research directions. This paper will provide a guide to local policy makers and fisheries managers about vulnerability and adaptation planning to climate change.

• Journal of Electrical Engineering and Technology
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• 제3권2호
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• pp.167-176
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• 2008

Vulnerability assessment of power systems is important so as to determine their ability to continue to provide service in case of any unforeseen catastrophic contingency such as power system component failures, communication system failures, human operator error, and natural calamity. An approach towards the development of on-line power system vulnerability assessment is by means of using an artificial neural network(ANN), which is being used successfully in many areas of power systems because of its ability to handle the fusion of multiple sources of data and information. An important consideration when applying ANN in power system vulnerability assessment is the proper selection and dimension reduction of training features. This paper aims to investigate the effect of using various feature extraction methods on the performance of ANN as well as to evaluate and compare the efficiency of the proposed feature extraction method named as neural network weight extraction. For assessing vulnerability of power systems, a vulnerability index based on power system loss is used and considered as the ANN output. To illustrate the effectiveness of ANN considering various feature extraction methods for vulnerability assessment on a large sized power system, it is verified on the IEEE 300-bus test system.

• 한국농공학회논문집
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• 제57권1호
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• pp.59-67
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• 2015

Because reservoirs that supply irrigation water play an important role in water resource management, it is necessary to evaluate the vulnerability of this particular water supply resource. The purpose of this study is to provide water supply risk maps of agricultural reservoirs in South Korea using irrigation vulnerability model and cluster analysis. To quantify water supply risk, irrigation vulnerability indices are estimated to evaluate the performance of the water supply on the agricultural reservoir system using a probability theory and reliability analysis. First, the irrigation vulnerability probabilities of 1,346 reservoirs managed by Korea Rural Community Corporation (KRC) were analyzed using meteorological data on 54 meteorological stations over the past 30 years (1981-2010). Second, using the K-mean method of non-hierarchical cluster analysis and pre-simulation approach, cluster analysis was applied to classify into three groups for characterizing irrigation vulnerability in reservoirs. The morphology index, watershed area, irrigated area, and ratio between watershed and irrigated area are selected as the clustering analysis parameters. It is suggested that the water supply risk map be utilized as a basis for the establishment of risk management measures, and could provide effective information for a reasonable decision making on drought risk mitigation.

• 한국BIM학회 논문집
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• 제9권1호
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• pp.32-41
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• 2019

As population in Sarasota and Manatee Counties, Florida in the United States is projected to increase, land use changes from land development happen continuously. The more land development means the more impervious surfaces and stormwater runoff to Sarasota Bay, which causes critical impact on the resiliency of the ecosystem. In order to decrease its impact on water quality and the ecosystem function of Sarasota Bay, it is important to assess the resilient status of communities that create negative impacts on the ecosystem. Three types of guiding principles of resiliency for Sarasota Bay watershed are suggested. To assess resiliency status, three indexes - vulnerability index, socio-economic index, and ecological index are developed and analyzed by using geographic information system for each census tract in the two counties. Since each indicator for vulnerability index, socio-economic index, and ecological index is measured with different metrics, statistical standardizing method - distance from the best and worst performers is used for this study to directly compare and combine them all to show total resilience score for each census tract. Also, the ten most and the ten least scores for the total resilience index scores are spatially distributed for better understanding which census tracts are most or least resilient. As Sarasota Watershed boundary is also overlaid, it is easy to understand how each census tract attains its resilience and how each census tract impacts to Sarasota Bay ecosystem. Based on results of the resiliency assessment several recommendations, guidelines, or policies for attaining or enhancing resiliency are suggested.

• 농촌계획
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• 제20권2호
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• pp.1-10
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• 2014

Smartphones change the picture of data and information sharing and make it possible to share various real-time flooding data and information. The vulnerability indicators of farmland inundation is needed to calculate the risk of farmland flood based on changeable hydro-meteorological data over time with morphologic characteristics of flood-damaged areas. To find related variables show the vulnerability of farmland inundation using the binary-logit model and correlation analysis and to provide vulnerability indicators were estimated by fuzzy set method. The outputs of vulnerability indicators were compared with the results of Monte Carlo simulation (MCS) for verification. From the result vulnerability indicators are applicable to mobile_based information system of farmland inundation.

• 한국지반환경공학회 논문집
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• 제18권4호
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• pp.31-40
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• 2017

본 연구에서는 하천제방이 홍수 때를 대비한 임시적인 기능이 크나 영구구조물이라는 기능적 특성과 길이가 매우 길다는 구조적 특성을 감안하여, 제방의 지진취약도를 간편하게 평가할 수 있는 방안을 검토하였다. 제방의 지진 시 주된 파괴모드가 제체 및 기초지반의 과잉간극수압 증가로 야기되는 지반의 강도감소 및 액상화로 인한 제체 침하인 점에 착안하여, 2차원 형태의 제방단면을 1차원으로 간주하고 액상화 가능 지수를 산정한 후, 그 결과를 지진 시 하천제방의 취약도와 연관시키는 방안을 검토하였다. 지진으로 야기된 제방 정상부의 변위와 제방의 지진취약도와의 관계를 기존 연구결과로부터 획득하였고, 2차원 동적 유효응력해석을 수행하여 산정한 제방 정상부 변위와 1차원 지진응답해석 결과를 기초로 산정한 액상화 가능 지수와의 상관관계를 검토하였다. 이러한 상관관계와 연계하여, 궁극적으로 액상화 가능 지수와 제방 지진취약도와의 연관성을 검토한 결과, 액상화 가능 지수를 이용한 국내 하천제방의 지진취약도를 평가하는 방법이 적용성이 있는 것으로 판단되었다.

• 대한토목학회논문집
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• 제36권3호
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• pp.385-393
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• 2016

본 연구에서는 도시홍수 위험도 지수 산정을 위하여 청계천 및 정릉천 유역을 분석하였다. 각 유역 배수구역별 자료를 토대로 SWMM 모델링을 구축하고 인문, 사회 환경과 관련하여 최종 지수 산정을 위한 지표를 선정하였다. 수집된 자료는 요소에 따라 정의하였다. 각 요소별 가중치는 Delphi 기법을 이용하였으며, 각 지표에 대한 표준화를 실시하고 최종적으로 위험도에 따른 위험 유역을 선정 했다. 유해성 및 취약성에 따라 12개의 지표를 결정하였다. 그중 취약성의 경우 세분화하여 3가지 요소로 나누어 지표를 선정했다. 총 21개의 배수구역별 지수를 산정하였으며 정릉1이 0.533, 마장 0.494, 필동 0.381, 순으로 나타났으며, 가장 적은 지수는 숭인 0.216으로 나타났다. 도시홍수 위험도 지수를 통해 우리나라 전 지역에 적용하게 되면 향후 수자원 정책 수립에 있어서 많은 도움이 될 것으로 사료된다.

• Structural Engineering and Mechanics
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• 제72권1호
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• pp.83-97
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• 2019

In this research, the vulnerability of some reinforced concrete frames with different stories are studied based on the Park-Ang Damage Index. The damages of the frames are investigated under various earthquakes with nonlinear dynamic analysis in IDARC software. By examining the most important characteristics of earthquake parameters, the damage index and vulnerability of these frames are investigated in this software. The intensity of Erias, velocity spectral intensity (VSI) and peak ground velocity (PGV) had the highest correlation, and root mean square of displacement ($D_{rms}$) had the lowest correlation coefficient among the parameters. Then, the particle swarm optimization (PSO) algorithm was used, and the sinusoidal waves were equivalent to the used earthquakes according to the most influential parameters above. The damage index equivalent to these waves is estimated using nonlinear dynamics analysis. The comparison between the damages caused by earthquakes and equivalent sinusoidal waves is done too. The generations of sinusoidal waves equivalent to different earthquakes are generalized in some reinforced concrete frames. The equivalent sinusoidal wave method was exact enough because the greatest difference between the results of the main and artificial accelerator damage index was about 5 percent. Also sinusoidal waves were more consistent with the damage indices of the structures compared to the earthquake parameters.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.927-932
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• 2010

This study made a nationwide metropolitan region map on the basis of disaster vulnerability and administrative boundary, and based on it, it divided small-sized regions and constructed disaster history of each region. For the disaster vulnerability, the study wrote slope, aspect, curvature, wetness index, and drainage density, compared and analyzed regions with disaster and geomorphic elements to distinct the factor with high correlations, and based on it, it divided small-sized regions for forecasting and warning system of middle regions(Gangwon province, Chungchung province, and Jeolla province). Through the method, Gangwon region were divided into 4 small-sized regions, Chungchung into 5 small-sized regions, and Jeolla into 6 small-sized regions.