• Journal of the Economic Geographical Society of Korea
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• v.7 no.2
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• pp.157-170
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• 2004

The Boundary Region in Gyeonggi Province has environmental vulnerability due to the increasing development pressure although usually regarded as an ecologically well-preserved region. This paper is aimed to analyze the status of environmental loading on natural resources of the Boundary Region in Gyeonggi Province through investigating land-use conversion pattern during the past 15 years(1985-2000), the attitude of the local community towards conservation policy, and the status of environmental treatment facilities for water quality management. The results are as follows. Firstly, the development pressure has been focused upon the southwestern part of the Boundary Region in Gyeonggi Province such as Gimpo, Paju, Dongduocheon, and Yangju since 1995. Secondly, local residents' strong aversion exists towards the conservation policy led by the government because of their underdevelopment. Finally, the risk of environmental degradation is high because the region is not equipped with adequate environmental treatment facilities for water quality management. The status of environmental loading in the Boundary Region suggests the necessity to establish a well-designed management plan for natural resources in this area.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.2
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• pp.113-122
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• 2017

Natural disasters caused by climate change are increasing globally. There are few studies on the quantitative analysis methods for predicting damages in the island area due to sea level rise. Therefore, it is necessary to study the damage prediction analysis method using the GIS which can quantitatively analyze. In this paper, we analyze the cause and status of sea level rise, quantify the vulnerability index, establish an integrated terrestrial modeling method of the ocean and land, and establish a method of analyzing the damage area and damage scale due to sea level rise using GIS and the method of making the damage prediction figure was studied. In order to extract the other affected areas to sea level rise are apart of the terrain model is generated by one requires a terrain modeling of target areas are offshore and vertical reference system differences in land, found the need for correction by a tidal observations and geoid model there was. Grading of terrain, coastline erosion rate, coastal slope, sea level rise rate, and even average by vulnerable factors due to sea level rise indicates that quantitative damage prediction is possible due to sea level rise in the island area. In the case of vulnerable areas extracted by GIS, residential areas and living areas are concentrated on the coastal area due to the nature of the book area, and field survey shows that coastal changes and erosion are caused by sea level rise or tsunami.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.266-275
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• 2013

New paradigm to the advancement of disaster management is required for building resilient and safe society. In these circumstances, the importance of local government disaster management capacity has been emphasized through experiencing a series of accidents including 2012 september Gumi fluorosilicic acid diffusion accident. The increase of people's disaster awareness has emerged the public demands on disaster management information of local area. In this study, the disaster management capacity analysis program is developed for self-assessment of local government. The program is designed for disaster managers to database the categorized index of disaster management capacity and recognize the capacity level. For the public announcement of disaster management capacity, the analysis results are shown for citizens in the understandable format. It is expected that the enhancement of emergency management capacity of local society can be achieved by the efforts of local government analyzing and improving the vulnerability as well as the participation of local society.

• Journal of Preventive Medicine and Public Health
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• v.45 no.4
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• pp.211-218
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• 2012

Objectives: The objective of this study was to identify the differences in obesity rates among people with and without disabilities, and evaluate the relationship between obesity rates and the existence of disabilities or characteristics of disabilities. Methods: Mass screening data from 2008 from the National Disability Registry and National Health Insurance (NHI) are used. For analysis, we classified physical disability into three subtypes: upper limb disability, lower limb disability, and spinal cord injury. For a control group, we extracted people without disabilities by each subtype. To adjust for the participation rate in the NHI mass screening, we calculated and adopted the weight stratified by sex, age, and grade of disability. Differences in obesity rates between people with and without disabilities were examined by a chi-squared test. In addition, the effect of the existence of disabilities and grade of disabilities on obesity was examined by multiple logistic regression analysis. Results: People with disabilities were found to have a higher obesity rate than those without disabilities. The obesity rates were 35.2% and 35.0% (people with disabilities vs. without disabilities) in the upper limb disability, 44.5% and 34.8% in the lower limb disability, 43.4% and 34.6% in the spinal cord injury. The odds for existence of physical disability and grade of disability are higher than the nondisabilities. Conclusions: These results show that people with physical disability have a higher vulnerability to obesity.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.5
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• pp.303-313
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• 2019

After a disaster happens in urban areas, many people need support for a quick evacuation. This work aims to develop a method for the calculation of the most feasible evacuation route inside buildings. In the methodology we simplify the geometry of the structural and non structural elements from the BIM (Building Information Modeling) to store them in a spatial database which follows standards to support vector data. Then, we apply the multicriteria analysis with the allocation of prioritization values and weight factors validated through the AHP (Analytic Hierarchy Process), in order to obtain the Importance Index S(n) of the elements. The criteria consider security conditions and distribution of the building's facilities. The S(n) is included as additional heuristic data for the calculation of the evacuation route through an algorithm developed as a variant of the $A^*$ pathfinding, The experimental results in the simulation of evacuation scenarios for vulnerable people in healthy physical conditions and for the elderly group, shown that the conditions about the wide of routes, restricted areas, vulnerable elements, floor roughness and location of facilities in the building applied in the multicriteria analysis has a high influence on the processing of the developed variant of $A^*$ algorithm. The criteria modify the evacuation route, because they considers as the most feasible route, the safest instead of the shortest, for the simulation of evacuation scenarios for people in healthy physical conditions. Likewise, they consider the route with the location of facilities for the movement of the elderly like the most feasible in the simulation of evacuation route for the transit of the elderly group. These results are important for the assessment of the decision makers to select between the shortest or safest route like the feasible for search and rescue activities.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.643-643
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• 2015

최근 북한의 수자원에 대한 관심과 연구가 활발히 이루어지고 있다. 또한, 수자원 취약성과 지속가능한 개발과 관련된 지수에 대한 연구도 꾸준히 이루어지고 있으며, 이 지수를 이용하여 현재 또는 미래의 수자원 취약성을 판단하고 대비하고 있다. 본 연구는 기상청, 통계청, 환경부에서 제공하는 자료 중에서 북한의 지역별 자료의 확보 가능한 자료를 대상으로 기후변화에 대한 기후노출, 민감도, 적응능력을 나타내는 지표들을 선정하여 남한과 북한의 26개 광역자치단체에 대하여 수자원 취약성 순위를 도출하였다. 기후변화를 고려한 지표들은 각각 홍수피해와 물부족을 반영하는 지표인 일최대강수량, 일강수량이 80mm 이상인 날의 수, 연최대 연속강우일수, 3일주기 최대 강수량, 6-9월 강수량, 12-2월 증발산량, 3-5월 증발산량, 12-2월 강수량, 3-5월 강수량, 연속적인 무강우일 수의 최대값, 총인구, 인구밀도를 선택하였으며, 변수들의 가중치 결정은 객관적 가중치 산정 방법인 Shannon의 entropy 기법과 주관적 가중치인 환경부(2012)에서 전문가를 대상으로 유도한 가중치를 적용하여 치수와 이수분야에 대한 취약성을 각각 평가하였다. 수자원 취약성의 정량적 평가를 위하여 TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) 기법을 적용하여 남 북한 지역별 수자원 취약성을 지수화하고 취약성 순위를 도출하였다. 산정된 수자원 취약성 지수가 낮을수록 취약함의 정도가 심각한 것으로 정의할 수 있으며, 연구결과 남 북한을 통틀어서 서울이 가장 취약한 지역으로 나타났으며, 치수 분야에서는 북한의 양강도가 취약성이 낮은 것으로 나타났고, 이수분야에서는 북한의 양강도와 남한의 제주도가 취약성이 낮은 것으로 나타났다. 따라서 본 연구는 남 북한의 지역별 취약성 순위를 통해 우리나라와 북한 수자원의 현황을 제시하며, 미래의 국가 수자원 계획 수립 및 대책을 제시할 수 있는 자료로 활용할 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.613-613
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• 2015

최근 전 지구적인 온난화로 인한 이상기후에 따라 강수량이 증가하고, 특정지역에만 국한되어 집중적으로 비가 내리는 국지성 집중호우의 발생 빈도가 증가하여 이로 인한 극한 홍수나 강우로 인한 산사태 등의 재해가 반복적으로 발생하고 있다. 홍수는 재산 및 인명에 이르기까지 막대한 피해를 야기한다는 점에서 이를 대비하기 위한 방안이 필수적이므로 국가적인 차원에서 홍수피해를 경감시키기 위한 여러 가지 구조적 또는 비구조적 대책들을 제시하고 있지만, 정확한 기상 변화의 예측이 어렵고 다양한 유발 원인들로부터 비롯된 홍수에 모두 대응할 수 있는 통합 대책 마련이 어려운 실정이다. 즉, 사전예방보다는 피해 복구에만 중점을 두고 있기 때문에 홍수 발생 유역의 지역적인 홍수피해 특성을 반영하지 못할 뿐만 아니라 어느 지역이 상대적으로 홍수피해의 위험성이 높은 지역인지도 파악하기 어렵다. 따라서, 본 연구에서는 도시홍수피해 유형인 내수침수피해와 외수침수피해의 유형에 따라 사례들을 조사하고 관련문헌들로부터 도시 홍수 취약성 평가를 위한 대표적 인자들을 도출하였다. 도출된 인자들을 각각 IPCC의 취약성 평가 프레임에 따라 기후노출, 민감도 그리고 적응능력으로 구분하고 도시 상습침수지역인 도림천 유역을 시범 지역으로 하여 도시홍수 취약성 평가를 위한 지수를 개발하고자 한다. 본 연구를 통하여 향후 도시홍수피해의 잠재적 위험성이 높을 것으로 판단되는 유역에 대한 활용방안을 제시하고 유역의 특성 및 중요도에 따른 치수사업의 우선순위를 결정하는 등 유역의 특성을 반영한 구체적 적응정책의 방향성을 세우는데 기초자료로 제공될 수 있으며, 도시홍수로 인한 인명 및 재산의 피해를 최소화 하는 것에 목적이 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.498-498
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• 2018

가뭄으로 인해 발생할 수 있는 가장 심각한 피해는 용수 부족으로 인한 수자원 시스템의 용수공급 실패이며, 따라서 가뭄 위험도는 사용 가능한 용수의 부족과 관련하여 정량화되어야 한다. 이러한 맥락에서 수자원 시스템의 가뭄 위험도를 평가하기 위해 주로 신뢰도(reliability), 회복도(resiliency) 및 취약도(vulnerability)와 같은 세 가지 이수안전도 평가지표가 사용된다. 이러한 평가지표는 각각 용수공급 실패가 평균적으로 얼마나 자주 발생하는지, 얼마나 오래 지속되는지, 또한 어느 정도의 규모로 발생하는지를 위험도를 정량화하는 것으로, 용수공급 실패사상의 빈도, 지속기간 및 심도를 나타낸다. 본 연구에서 DRI(Drought Risk Index)는 신뢰도, 평가도 및 회복도의 가중평균값으로 정의되며, 이는 지속기간과 심도를 변수로 하는 이변량 가뭄빈도해석과 같은 변수를 공유한다. 본 연구에서는 두 가지 형태의 DRI 를 이용하여 지역 가뭄 위험도 평가 기준 산정 방안을 제시하였다. DRI_O(observed DRI)는 용수부족 시계열을 통해 산정된 공급실패 사상으로부터 산정되며, DRI_D(designed DRI)는 이변량 빈도해석을 통해 산정된 특정 지속기간을 갖는 확률가뭄심도로부터 계산된다. 기후변화 시나리오를 이용해 DRI_O 를 산정함으로써 미래의 이수안전도를 예측할 수 있으며, 이를 DRI_D 와 비교하여 지역의 용수부족으로 인한 가뭄 위험도를 산정하는 방법을 제안하였다. 또한 기존에는 주로 과거 최대 가뭄사상을 목표안전도로 설정하였으나 DRI_D 를 이용하여 보다 현실적인 목표안전도를 설정할 수 있다. 낙동강 권역의 10 개 중권역의 10 개 기후변화 시나리오를 대상으로 분석을 수행한 결과 병성천 유역과 형산강 유역이 각각 최저 및 최고 위험도를 갖는 것으로 분석되었으며, 지역 안전도 기준은 평균적으로 재현기간 5-20 년 사이의 범위를 갖는 것으로 나타났다.

• Korea Real Estate Review
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• v.28 no.1
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• pp.39-52
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• 2018

The purpose of this study was to analyze the housing tenure choice decisions of older households, with focus on the activity constraints of the householders. For analysis, the probit model based on the data of the householders over 55 years of age from the 2015 KLIPS data was implemented. The research findings indicate that the ownership choice probability decreases when the head of the household has activity or social activity constraints. If there is an activity restriction, it is considered that the possibility of self-residence will be low due to the increase in medical expenses, the possibility of participation in economic activities will be low, the possibility of early retirement will be high, and the income will decrease. Therefore, if the head of the household has a personal or social activity constraint, such case is more likely to be categorized as falling under the poor residential group. This result suggests that the activity constraint can be utilized as a useful index for the housing welfare policy considering physical vulnerability.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.331-344
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• 2015

A long-term gridded historical data at 3 km spatial resolution has been generated for practical regional applications such as hydrologic modelling. However, overly high or low values have been found at some grid points where complex topography or sparse observational network exist. In this study, the Inverse Distance Weighting (IDW) method was applied to properly smooth the overly predicted values of Improved GIS-based Regression Model (IGISRM), called the IDW-IGISRM grid data, at the same resolution for daily precipitation, maximum temperature and minimum temperature from 2001 to 2010 over South Korea. We tested various effective distances in the IDW method to detect an optimal distance that provides the highest performance. IDW-IGISRM was compared with IGISRM to evaluate the effectiveness of IDW-IGISRM with regard to spatial patterns, and quantitative performance metrics over 243 AWS observational points and four selected stations showing the largest biases. Regarding the spatial pattern, IDW-IGISRM reduced irrational overly predicted values, i. e. producing smoother spatial maps that IGISRM for all variables. In addition, all quantitative performance metrics were improved by IDW-IGISRM; correlation coefficient (CC), Index Of Agreement (IOA) increase up to 11.2% and 2.0%, respectively. Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were also reduced up to 5.4% and 15.2% respectively. At the selected four stations, this study demonstrated that the improvement was more considerable. These results indicate that IDW-IGISRM can improve the predictive performance of IGISRM, consequently providing more reliable high-resolution gridded data for assessment, adaptation, and vulnerability studies of climate change impacts.