본 연구에서는 기후변화에 따른 농업생산기반의 취약성 평가를 위해 홍수 및 가뭄에 대해 대리변수를 선정하고 취약성 평가 지표를 산정하였다. 기후변화의 취약성 정의는 기후변화에 대한 시스템의 노출, 민감도, 적응 능력의 세가지 구성요소로 나타난다. 국내외 문헌조사와 기존연구결과를 토대로 홍수 및 가뭄에 대한 노출, 민감도, 적응능력 등 3가지 카테고리에 대한 대리변수를 각각 선정하였으며, 기상자료, 농업생산기반통계연보 및 각 시·도별 통계자료를 이용하여 선정된 대리변수에 대한 데이터베이스를 구축하였다. 수집된 기초 통계자료의 표준화를 위해 z-스코어 방법을 이용하였고, 이를 통해 모든 변수의 평균은 0, 표준편차는 1의 정규분포로 정규화되었으며, 왜곡도 분석 결과도 절대치 0.151에서 1.947 사이로 나타나 모든 데이터를 자연로그 변환 과정을 거치지 않고 표준화한 값을 취약성 지수로 산정하였다. 표준화된 각 대리변수의 결과로부터 향후 각 시도별 취약성 평가를 수행하고, 결측된 자료의 보완과 자료기간이 상이한 자료의 처리에 대한 연구방법을 정립하는 것이 요구된다.

PURPOSES : This study demonstrates the need for the collection of road weather information in order to perform efficient snow removal works during the winter season. Snow removal operations are usually dependent upon weather information obtained from the Automatic Weather Station provided by the Korea Meteorological Administration. However, there are some difference between road weather and weather forecasts in their scope. This is because general weather forecasts are focused on macroscopic standpoints rather than microscopic perspectives. METHODS : In this study, the relationship between snow removal works and historical weather forecasts are properly analyzed to prove the importance of road weather information. We collected both weather data and snow removal works during winter season at "A" regional offices in Gangwon areas. RESULTS : Results showed that the validation of weather forecasts for snow removal works were depended on the height difference between AWS location and its neighboring roadway. CONCLUSIONS : Namely, it appears that road weather information should be collected where AWS location and its neighboring roadway have relatively big difference in their heights.

광주광역시에 분포하는 보호수는 9분류군 68개체다. 환경백서에 기록된 보호수 가운데 광산구 운남동 신가마을의 떡갈나무는 갈참나무로, 서구 벽진동 벽진마을의 양버들은 왕버들로, 남구 석정동의 소나무는 반송으로 수정되어야 한다. IPCC는 21세기말에 평균기온은 최고 6.4℃ 및 해수면은 59 cm 상승하므로 북극빙하는 완전히 녹아 없어지고 지구상의 생물종 95%가 멸종위기에 빠질 것으로 경고하고 있다. 광주광역시의 보호수를 통해 기후변화

The purpose of this study is to develop a method to assess the expected damage and loss of vehicle by flood disaster. To this end, we designed the inventory (exposure) DB to define spatial location and distribution by vehicle type, and presented the construction procedure of inventory DB. Vehicle asset value required for quantifying loss was taken into account depreciation in the replacement cost of each representative vehicles. The vehicle vulnerability curve is used to analyze the percent damage due to flood depth. It is classified the vehicle into three types based on the vehicle height, developed the vulnerability curve from the opinion of the expert group. The method proposed in this study is part of f lood loss assessment model. It will be used for flood risk assessment and economic analysis of flood mitigation projects.

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

This study is to identify the heat vulnerability area as represented by heat risk factors which could be attributable to heat-related deaths. The heat risk factors were temperature, Older Adults(OA), Economic Disadvantage(ED), Accessibility of Medical Services(AMS), The population Single Person Households(SPH). The factors are follow as; the temperature means to the number of days for decades average daily maximum temperature above 31℃, the Older Adults means to population ages 65 and above, furthermore, the Economic Disadvantage means to the population of Basic Livelihood Security Recipients(BLSR), the Accessibility of Medical Services(AMS) means to 5 minutes away from emergency medical services. The results of the analysis are showed that the top-level of temperature vulnerability areas is Dong, the top-level of vulnerability OA areas is Eup, the top-level of AMS vulnerability is Eup. Moreover, the top-level of vulnerability ED area appears in the Eup and Dong. The result of analysing relative importance to each element, most of the Eup were vulnerable to heat. Since, there are many vulnerable groups such as Economic Disadvantage, Older Adults in the Eup. We can be figured out estimated the number of heat-related deaths was high in the Eup and Dong by the data of emergency activation in the Chungcheongnam-do Fire Department. Therefore, the result of this study could be reasonable.

본 연구에서는 주 단위 지하수자원 관리 취약시기 평가 방법을 개발하였다. 강수의 지하수위에 대한 영향을 고려하기 위하여 한계 침투량을 고려한 강우이동평균 방법을 통해 지하수위와의 상관계수를 산정하였다. 취약 시기 평가 기준을 개발하고 평가 기준에 대한 가중치를 엔트로피 방법을 이용하여 산정하였다. 강수와의 상관계수와 산정된 가중치를 이용한 주 단위 지하수자원 관리 취약시기 평가 방법을 개발하였으며, 개발한 방법을 통하여 소규모 행정구역을 대상으로 취약시기를 평가하였다. 본 연구에서 개발된 방법은 지역적일뿐만 아니라 계절적인 지하수자원의 효율적 관리 대책 수립의 근거가 될 수 있을 것이다.

본 연구에서는 하천 제방에 대한 홍수취약성을 평가하는 새로운 기법을 제시하고 기후변화에 따라 변화하는 수위에 대하여 제방에 미치는 영향을 분석하였다. 이를 위해 먼저 2차원 지하수침투 모형인 SEEP/W를 이용하여 제방의 침투거동을 분석하여 침투안전성을 평가하였다. 침투거동뿐만 아니라 기후변화에 따른 하천환경여건을 고려하는 제방의 취약성 분석 기술이 필요함으로써 본 연구에서는 추가적으로 제방의 취약성 분석에 필요한 인자를 도출하여 제방의 홍수취약성지수(levee flood vulnerability index； LFVI)에 의한 취약성 평가기법을 새로이 개발 하였다. 대상지역을 한강 본류 서울 구간으로 선정하여 하도별 제방의 크기를 조사하였고 조사한 제방을 상류부, 중류부, 하류부로 구분하여 3개의 대표 제방을 선정하였다. 이들 대표 제방지점에서 현재의 계획홍수위와 기후변화 시나리오 RCP8.5를 고려한 계획홍수위를 적용하여 제방의 활동 안전율과 제방 홍수취약성지수를 분석하였다. 그리고 제방홍수취약성지수를 구성하는 각각 인자들에 대하여 기후변화에 따른 변화 정도를 파악하였다. 이들 인자들을 종합적으로 활용한 제방홍수취약성지수 값을 이용하여 최종적으로 기후변화에 따른 제방의 취약성을 추정할 수 있도록 하였다.

The purpose of this research is to provide an objective and accurate regional vulnerability index at a finer resolution with the research period from 1983 to 2012 in Korea. To find the spatial patterns and characteristics of regional vulnerability, this research conducted four different types of analyses. First, the most vulnerable regions in terms of demographic, climatological-geographic, socioeconomic, and technological factors were respectively investigated. Second, total vulnerability index combining all the four factors was examined. Next, the most influential factors deciding vulnerability and common spatial patterns of vulnerability were extracted using empirical orthogonal function (EOF) analysis. Lastly, the degree of clustering for each factor was checked using Moran’s I and local indicators of spatial association (LISA). The result found the most vulnerable provinces were Jeolla and Gyeongsang Province, regarding to demographic and climatological- geographic factors, respectively. In the case of socioeconomic factors, the difference between urban and rural areas was larger than the difference between provinces. In addition, the EOF analysis showed that demographic factors would be the most influential factors which explained 32.2 percent of the total variance of data. Lastly, climatological and geographic factors represented the highest degree of clustering (global Moran’s I: 0.51).

The development of GIS technology has enabled the analysis of heavy rainfall vulnerability based on spatial analysis. In general, spatial analysis is performed based on property data and spatial data. Spatial data and attribute data differ in the generation units due to various reasons. The difference in these units can also cause problems in the results of the analysis. In particular, the Modifiable Areal Unit Problem (MAUP) that occurs according to the spatial unit setting is the most representative. The Modifiable Temporal Unit Problem (MTUP), which occurs according to the recent time unit setting, is also being raised. In this study, we analyzed the vulnerability of heavy rainfall in consideration of MAUP and MTUP. To analyze the effect of the MAUP, different administrative units were constructed and analyzed. In Seoul, Busan, and Ulsan, there was a scale effect in which disaster vulnerability was analyzed differently according to the analysis unit. In order to analyze the impact of MTUP, the range of study period was configured differently. The impact of the temporal boundary, in which overall disaster characteristics change and disaster vulnerability changes, has been identified. Analysis of regional disaster vulnerability considering MAUP and MTUP will be effective not only for the study of heavy rainfall disaster but also for setting the standard of disaster prevention policy.

최근 발생한 지진들로 인해 한국도 지진 안전지대가 아니라는 인식이 확산되고 있다. 이에 사회 기반시설물에 대한 다각도의 내진 안전성 검토가 수행되고 있다. 전력구는 대표적인 송전시설물의 하나로 땅 속에 묻혀있는 지중 구조물이 갖는 특성으로 인해 구조물 자체의 관성, 내하력 뿐만 아니라 주변부의 지반특성을 함께 고려해야만 한다. 이를 위해서는 지반과의 상호작용을 고려할 수 있는 엄밀한 수치해석이 요구되나, 많은 비용과 시간이 요구되는 구조물-지반 상호작용해석을 모든 전력구에 적용하기엔 무리가 따른다. 본 연구에서는 지반특성과 관련된 변수를 포함하는 주요 설계변수를 독립변수로 하고 내진성능에 대한 안전율을 종속변수로 하는 직접적인 상관관계 분석을 통하여 비용이 큰 수치해석을 배제하면서도 내진안전율이 낮은 취약 전력구를 선별할 수 있는 방안을 제시하였다. 높은 상관성을 보이는 토피고와 철근량을 주요 독립변수로 설정하고 종속변수인 내진안전율과의 분포를 바탕으로 경계방정식을 도출하였다. 이를 이용하여 지진취약 전력구를 수치 해석과정 없이 선별하는 방안을 제시하였다. 대상으로 한 108개의 전력구 중 30%가 지진취약 전력구로 선별되었으며, 선별된 전력구의 내진 안전율 확인을 통해 타당한 선별 방안임을 확인하였다. 제안 기법은 상대적으로 매우 단순하며 추가적인 데이터에 적용하기 쉽고 확장이 용이하다.

본 연구에서는 하천 제방에 대한 홍수취약성을 평가하는 새로운 기법을 기후변화에 따라 달라지는 하천의 수위변화를 고려하여 제방의 취약성 변화 정도를 파악해보고자 한다. 이를 위해 미래 기후변화 시나리오를 기반으로 대상유역의 홍수량을 산정하여 홍수위를 구하고 제방의 2차원 지하수침투 모형인 SEEP/W를 이용하여 침투거동을 분석함으로써 침투안정성을 평가하였다. 대상지역은 한강 본류 서울 구간으로 선정하여 대표 제방을 선정한 후, 대표 제방의 현재 계획홍수위와 기후변화를 고려한 홍수위를 고려하여 제방의 안전율을 분석하였다. 제방의 취약성 분석에 필요한 인자를 도출하고 이를 활용하여 기후변화 시나리오에 따른 제방의 수위변화를 고려한 제방의 취약성 분석을 실시하였으며 분석결과를 본 연구자가 기 개발한 제방홍수취약성지수(Levee Flood Vulnerability Index, LFVI) 값을 이용하여 제방의 취약성에 미치는 영향을 분석하였다.

The rural areas are large residential space with fewer people than urban areas. That is why they are vulnerable to social services such as health care and security. This research analyzed the vulnerability of emergency relief service in rural village through text mining and the weighting value have been calculated. Based on the calculated statistics data, the police facilities are the most important, While the fire fighting and hospital facilities are important as well. In addition, the distance from the emergency relief service facility to the rural village was confirmed by using Open API. By combining these results, The vulnerable areas of the rural villages and the emergency relief service facilities were calculated and classified into 5 levels. For rural areas, the 1st class will have 33 places, following by 1,179 in 2nd class, 199 in 3rd class, 17 in 4th class and 8 in 5th class. Hence in order to further supplement the vulnerable areas to emergency relief service in villages, geographical relocation and policy approach of emergency relief service facilities are necessary.

TOPSIS (Techniques for Order Performance by Similarity to Ideal Solution)를 이용하여 낙동강 유역의 21개 시 ․ 군을 대상으로 지하수위 관리 취약성을 평가하였다. 낙동강 유역 21개 시 ․ 군을 대상으로 자연, 인문, 사회적 자료를 수집하여 10개의 지표를 선정하였다. 선정된 지표를 스케일 재조정법을 이용하여 표준화 하고, 전문가 집단의 설문을 반영하여 각 지표에 가중치를 부여하였다. 가중치 산정 설문 결과 연평균 지하수 위 지표가 0.157으로 가장 큰 가중치를 받았으며, 연평균 강수량 지표가 0.154, 연도별 지하수함양량 지표가 0.152로 얻어졌다. 가장 적은 가중치를 얻은 지표는 인구 밀도로 0.043 의 가중치를 얻었다. 최종적으로 지하수위 관리 취약성 평가 결과, 상주가 연평균 강수량, 연평균 지하수 함양 량, 연평균 지하수 이용량 지표에서 높은 순위의 취약성을 보여 낙동강 유역 21개 시 ․ 군 단위 행정구역 중 가장 취약한 것으로 결과가 나타났다. 그 뒤로 예천군, 함안군의 순으로 취약성이 높게 나타났다. 향후 한국의 5대강 유역 지하수위 관리 취약성 평가는 전국 지하수위 관리 정책 수립에 필수적이라고 판단된다.

In recent years, the proportion of arable land in the nation has grown from 36.2 percent in 1990 to 43.7 percent in 2013. The study first performed the vulnerability assessment of agricultural production, transportation, processing facilities, agricultural machinery leasing facilities, and water supply facilities. It was developed for the evaluation of the vulnerability of each gun of garlic and onions based on the distance from the three groups of arable bodies to the facility and the processing capacity of facilities. In view of these regional imbalances, the store, distribution and processing facilities in the main stream were found in Haenam, South Jeolla-do, and the relatively low regions of the gun were located in Goheung-gun and Hampyeong-gun. Among other regions, agricultural machinery rental facilities were high in Changnyeong-gun, Haenam, and two regions, while the water supply facilities were high in the southern area of Haenam and South Jeolla-do. The Gyeongsang-do showed relatively high levels of comparison vulnerability index compared to Jeolla-do regions. In particular, through the management plan to improve the facilities needed to improve agricultural production infrastructure, it is necessary to increase the competitiveness of agricultural productuivity through the planning of the need for additional support through the rural readjustment project.

The Northern States of Malaysia comprises of four states (Penang, Kedah, Perlis and Perak) still record high poverty incidence eventhough Malaysia has experienced a remarkable reduction of poverty over the past century. Economic activities in Perlis and Kedah that are predominantly agriculture in the rural area contribute to this disparity. To add, rural households are also subject to risks and uncertainties that make them more vulnerable to poverty. This study examines the impact of risks and assets on households’ vulnerability to poverty. A survey of 400 respondents was conducted in December 2015 in the northern region of Malaysia. From these 400 questionnaires, only 298 were considered valid and used in the analysis. Using a logistic probability function, the results indicated that risks are not a significant threat to households. Gender and strata are crucial elements that significantly determine households’ vulnerability. While human capital and financial capital significantly reduce households’ vulnerability to poverty, physical and natural capitals were not statistically significant. The study suggests that the government and practitioners design strategies and policies with an assets-based approach. The asset-based approach is more appropriate for linking the causes of poverty to vulnerability.

In this study, hydrological safety vulnerability assessment on dam facilities was estimated using dams' hydrological safety evaluation result and in-depth inspection assessment result and considering climate change scenario. Hydrological safety assessment of the existing dam was performed by calculating the pmp/pmf using the climate change scenario. Using the results, Multi-Criteria Decision Making was used for vulnerability ranking decision on dams, and assessment scores and weights of hydrological safety evaluation considering climate chage were applied as payoff matrix and weight coefficient. In this study, it was evaluated vulnerability ranking that hydrological safety evaluation of existing dam considering climate change.