• 농촌계획
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• 제20권4호
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• pp.145-155
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• 2014

Since greenhouse gas emissions increase continuously, the authorities have needed climate change countermeasure for adapting the acceleration of climate change damages. According to "Framework Act on Low Carbon, Green Growth", Korean local governments should have established the implementation plan of climate change adaptation. These guidelines which is the implementation plan of climate change adaptation should be established countermeasure in 7 fields such as Health, Digester/Catastrophe, Agriculture, Forest, Ecosystem, Water Management and Marine/Fisheries. Basically the Korean local governments expose vulnerable financial condition, therefore the authorities might be assessed the vulnerability by local regions and fields, in order to establish an efficient implementation plan of climate change adaptation. Based on this concepts, this research used 3 methods which are LCCGIS, questionnaire survey analysis and analysis of existing data for the multiphasic vulnerable assessment. This study was verified the correlation among 7 elements of climate change vulnerability by 3 analysis methods, in order to respond climate change vulnerability in rural areas, Seocheon-gun. If the regions were evaluated as a vulnerable area by two or more evaluation methods in the results of 3 methods' comparison and evaluation, those areas were selected by vulnerable area. As a result, the vulnerable area of heavy rain and flood was Janghang-eup and Maseo-myeon, the vulnerable area of typhoon was Janghang-eup, Masan-myeon and Seo-myeon. 3 regions (i.e. Janghang-eup, Biin-myeon, Seo-myeon) were vulnerable to coastal flooding, moreover Masan-myeon, Pangyo-myeon and Biin-myeon exposed to vulnerability of landslide. In addition, Pangyo-myeon, Biin-myeon and Masan-myeon was evaluated vulnerable to forest fire, as well as the 3 sites; Masan-myeon, Masan-myeon and Pangyo-myeon was identified vulnerable to ecosystem. Lastly, 3 regions (i.e. Janghang-eup, Masan-myeon and Masan-myeon) showed vulnerable to flood control, additionally Janghang-eup and Seo-myeon was vulnerable to water supply. However, all region was evaluated vulnerable to water quality separately. In a nutshell this paper aims at deriving regions which expose climate change vulnerabilities by multiphasic vulnerable assessment of climate change, and comparing-evaluating the assessments.

• 한국농공학회논문집
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• 제56권6호
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• pp.11-18
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• 2014

Vulnerable areas by non-point source pollution and prioritizing control areas were researched using hydrological and geomorphological data, non-point source loads, and water quality data. Using overlay analysis, vulnerable areas were graded with various scenarios. Vulnerable areas were selected near the metro city with impermeable landuse because non-point source loads and water quality data had influence on overlay analysis to rank vulnerable area. Analysis scenarios and weighted values can be changed under regional characteristics and given conditions.

• 한국환경복원기술학회지
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• 제24권1호
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• pp.53-68
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• 2021

The study aims to propose a locating method of green space for reducing Particulate Matter (PM) in ambient air in conjunction with its source traces and vulnerable groups. In order to carry out the aims and purposes, a literature review was conducted to derive indicators of vulnerable area to PM. Based on the developed indicators, the vulnerable areas and green spaces creation strategies for each cluster were developed for the case of Seongdong-gu, Seoul. As a result, six indicators for vulnerability analysis were came out including the vulnerable groups (children's facilities, old people's facilities), emission sources (air pollutant emission workplaces, roads), and environmental indicators (particulate matter concentration, NDVI). According to the six selected indicators, the target area was divided into 39 hexagons and analyzed to result the most vulnerable areas to particulate matter. As a result of comprehensive vulnerability analysis, the Seongsu-dong area was found to be the most vulnerable to particulate matter, and 5 clusters were derived through k-means cluster analysis. Cluster 1 was analyzed as areas that most vulnerable to particulate matter as a result of the comprehensive analysis, therefore urgent need to create green spaces to reduce particulate matter. Cluster 2 was areas that mostly belonged to the Han River. Cluster 3 corresponds to the largest number of hexagons, and since many vulnerable groups are distributed, it was analyzed as a cluster that required the creation of a green spaces to reduce particulate matter, focusing on facilities for vulnerable groups. Three hexagons are included in cluster 4, and the cluster has many roads and lacks vegetation in common. Cluster 5 has a lot of green spaces and is generally distributed with fewer vulnerable groups and emission sources; however, it has a high level of particulate matter concentration. In a situation where various green spaces creation projects for reducing particulate are being implemented, it is necessary to consider the vulnerable groups and emission sources and to present green space creation strategies for each space characteristic in order to increase the effectiveness of such projects. Therefore, this study is regarded as meaningful in suggesting a method for selecting a green area for reducing PM.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.1739-1742
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• 2011

Public transportation network in our country is concentrated and advanced focusing on urban area in order to secure economic feasibility. As a result, as dependence on private vehicles is relatively getting higher in public transportation vulnerable area, traffic problem occurs since the average running speed in urban area is 22.5km/h. This paper has an objective to suggest an improvement plan by selecting public transportation vulnerable area, and defining according to urban structure, formation and function, and understand traffic characteristics and draw problems. As a method selecting public transportation vulnerable area, an area with high division rate of vehicle was selected as a primary proposed site by calculating division rate of means of public transportation according to area. Final proposed site was selected by using GIS Buffering technique aiming at selected proposed site, and selecting non-benefit area 500m outside, which is the road limit distance from each subway and bus station. Lastly, the degree of improvement effect was studied by constructing imaginary public transportation network aiming at final proposed site and comparing to the amount of change in division rate of means of transportation.

• 한국환경복원기술학회지
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• 제19권5호
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• pp.29-45
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• 2016

This study identified vulnerable regions in the national parks of the Republic of Korea (ROK). The potential vulnerable regions were defined as areas showing a decline in forest productivity, low resilience, and high sensitivity to climate variations. Those regions were analyzed with a regression model and trend analysis using the Enhanced Vegetation Index (EVI) data obtained from long-term observed Moderate Resolution Imaging Spectroradiometer (MODIS) and gridded meteorological data. Results showed the area with the highest vulnerability was Naejangsan National Park in the southern part of ROK where 32.5% ($26.0km^2$) of the total area was vulnerable. This result will be useful information for future conservation planning of forest ecosystem in ROK under environmental changes, especially climate change.

• 한국재난정보학회 논문집
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• 제11권2호
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• pp.269-278
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• 2015

소방취약지 분석 관리를 위한 공간정보 분석기법을 자동화하고 소방주제도를 갱신 구축하여 온라인으로 탑재하는 서비스 플랫폼 기술을 개발하였다. 그 결과, 플랫폼을 통하여 화재진압 활동에 필요한 사전 정보가 제공되는 기반이 마련되었다. 이 결과에 향후 소방취약지 활용서비스 연구가 뒷바침되면 화재진압 현장의 골든타임을 감소시킬 수 있다. 소방분야에 적합한 공간분석과 자동화, 손쉬운 서비스 탑재 운영으로 전문적 관리와 서비스 확대 개선에 만족할 만한 기술적 가능성을 확인하였다.

• Ecology and Resilient Infrastructure
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• 제7권4호
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• pp.327-335
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• 2020

본 연구에서는 홍수해석 등 수치모형을 이용한 기존의 홍수위험지역 선정 시 필요한 시간과 노력을 절감하고자 유출메커니즘 기반의 지형 분석을 통해 홍수취약지역을 제시하고자 한다. 유출메커니즘 기반의 홍수취약지역은 강우-유출수의 지표면 흐름누적 특성에 유리한 지역으로 일반적으로 저지대, 완경사, 하천 등이 해당된다. 분석을 위해 대상지역인 서울시의 수치지형도를 이용하여 표고, 경사도, 수직 및 수평 사면 곡률, 지표습윤계수 (Topographic Wetness Index, TWI), 유수력 지수 (Stream Power Index, SPI), 하천 및 맨홀과의 거리 등 8개의 지형학적 인자를 고려하였다. 지형학적 인자들과 실제 침수흔적자료와의 ROC (Receiver Operation Characteristic) 분석 결과, 표고, 경사도, 지표습윤계수, 맨홀과의 거리 등 4개의 지형학적 인자가 침수지역을 잘 설명하는 것으로 나타났다. 홍수취약지역 선정 시 본 연구에서 제안하는 다양한 인자에 대한 우선순위 산정 방안은 홍수에 기여하는 지형학적 분석 요소를 간소화 시킬 수 있을 것으로 판단된다.

• 한국지리정보학회지
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• 제8권4호
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• pp.155-164
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• 2005

연안은 바다와 인접하여 태풍으로 인한 해일, 해수범람, 침식 등으로 매년 반복되는 피해가 발생하는 재해 취약 지역이다. 이에 Web GIS를 이용하여 연안시설물 및 위험취약지역을 관리할 수 있는 정보시스템을 개발함으로써 피해지역의 위치를 가시화하여 연안재해 정보에 대한 효과적인 연안관리업무를 수행할 수 있는 객관성 있고 과학적인 의사결정 자료로 활용하고자 하였다. 아울러 효율적 개발을 통한 정보화 기반 마련과 시간 및 비용이 절감되는 효과를 가져 올 것으로 사료된다. 이를 위해 본 연구에서는 전국 연안지역을 대상으로 태풍, 해일, 범람, 침식 등의 피해 자료를 수집하고, GIS분석 기법과 고해상위성영상 등의 공간정보기술을 이용하여 실시간으로 Web상에서 3차원 위성영상 및 공간정보관리를 수행할 수 있는 3차원 Web GIS기반 연안위험취약지역 정보시스템을 개발하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.113-116
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• 2004

Many methods to examine the vulnerable areal for the contingencies in the power system. The most widely used index for the vulnerable area investigation has been the reactive power margin or sensitivity analysis. But we can get the results of these analyses if only the results of load flow are convergent in severe contingencies, otherwise these methods are not adoptable. We can present a good index for overcoming severe contingencies, if we can get the vulnerable areas by bus sensitivity in severe contingencies, though the power flow equation is unsolvable. This paper simulates unsolvable severe contingencies by using branch parameter continuation power flow. We can compute the vulnerable areas in unsolvable severe contingencies by normal vector at a nose point of a $\nu-V$ curve. Presented method is checked the input reactive power of the vulnerable areas in KEPCO system.

• 한국도로학회논문집
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• 제14권6호
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• pp.175-182
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• 2012

PURPOSES : This paper presents how to determine priorities of RWIS installation on national highways within the limited budget. METHODS : Analytical hierarchy process was employed to develop the entire methodology. In addition to this, various data such as vulnerable roadway section for snow removal, RWIS, AWS, AADT, and traffic accident were properly collected and analyzed for the future analysis. Then, GIS analysis was performed to find out the final candidate vulnerable roadway section for snow removal. In the end, expert survey was conducted to estimate weights for evaluation criteria. RESULTS : Results showed that metropolitan area has the most high priority, and Gangwon area, ChungCheung, and Honam in order. CONCLUSIONS : The main contribution of this paper is to suggest a logical methodology to prioritize RWIS installation within the limited budget, and thus snow removal operation during the winter season can improve in terms of getting more valuable information.