• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.51-51
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• 2023

최근 기후의 급격한 변화 및 이상기후로 인해 전 세계적으로 가뭄의 발생빈도가 증가하고 있는 추세이다. 우리나라의 경우 지역·계절별 강수량의 편차로 인해 국지적으로 극심한 가뭄이 발생하고 있으며, 향후 피해는 더욱 증가할 것으로 예측하고 있다. 농업가뭄은 농작물 생육에 따른 수확량 및 수자원 이용에 직접적인 영향을 미치고 있으며, 농업수리시설물의 의존도가 높기 때문에 저수지의 대응능력과 농경지의 수리답 시설이 농업가뭄 대응을 위한 중요한 지표로써 활용되고 있다. 본 연구에서는 수리시설물의 가뭄대응능력과 평야부 농경지의 가뭄빈도를 이용하여 농업가뭄 취약성 평가를 수행하였다. 2015년 이후 매년 가뭄이 발생하는 충청남도 태안군을 시범지역으로 선정하였으며, 논 중심의 농업가뭄을 평가하기 위해 기상영향, 가뭄발생현황, 보조수원능력, 가뭄대응능력 4가지의 관련 항목을 선정하였다. 기상영향, 가뭄발생현황, 보조수원현황 항목은 계수화를 위해 데이터 속성 정보만을 이용하여 가중치를 산정하는 엔트로피 (Entropy) 방법을 적용하였으며, 가뭄대응능력 항목은 농업수리시설물과 농경지 평균 가뭄빈도 분석을 통해 점수화를 수행하였다. 본 연구의 결과는 지역별로 선제적인 가뭄대응 우선순위를 결정할 수 있고, 용수공급의 효율화 등 논 중심의 농업가뭄 대응을 위한 기초자료로써 활용될 수 있을 것으로 판단된다.

• The Journal of Engineering Geology
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• v.30 no.3
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• pp.215-222
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• 2020

This study aims to suggest an improved groundwater management plan for future policy decisions in Korea by examining representative groundwater management cases abroad. In the United States, the Ground Water Resources Program is operated both locally and regionally. In order to manage appropriate levels of groundwater in Japan, groundwater resource management programs are conducted according to small, medium, and large watersheds. In Europe, the watershed unit manages groundwater and surface water by way of an integrated approach. In Korea, groundwater development at the national level is designated and managed in a top-down manner, whereas in the United States and Japan, groundwater is managed from small-scale regional units to large-scale watersheds. In order to evaluate the sustainability of groundwater resources, groundwater must be evaluated through a dynamic process including continuous monitoring, groundwater flow analysis, and management priorities.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.1-18
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• 2019

This research measured and visualized the spatial dependency and the spatial heterogeneity of the small business in Cheonan-si, Asan-si with $100m{\times}100m$ grids based on global and local spatial autocorrelation. First, we confirmed positive spatial autocorrelation of small business in the research area using Moran's I Index, which is ESDA(Exploratory Spatial Data Analysis). And then, through Getis-Ord $GI{\ast}$, one kind of LISA(Local Indicators of Spatial Association), local patterns of spatial autocorrelation were visualized. These verified that Spatial Regression Model is valid for the location factor analysis on small business commercial buildings. Next, GWR(Geographically Weighted Regression) was used to analyze the spatial relations between the distribution of small business, hourly mobile traffic-based floating population, land use attributes index, residence, commercial building, road networks, and the node of traffic networks. Final six variables were applied and the accessibility to bus stops, afternoon time floating population, and evening time floating population were excluded due to multicollinearity. By this, we demonstrated that GWR is statistically improved compared to OLS. We visualized the spatial influence of the individual variables using the regression coefficients and local coefficients of determinant of the six variables. This research applied the measured population information in a practical way. Reflecting the dynamic information of the urban people using the commercial area. It is different from other studies that performed commercial analysis. Finally, this research has a differentiated advantage over the existing commercial area analysis in that it employed hourly changing commercial service population data and it applied spatial statistical models to micro spatial units. This research proposed new framework for the commercial analysis area analysis.

• Korean Journal of Ecology and Environment
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• v.51 no.3
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• pp.221-233
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• 2018

This study was carried out to predict the current and future potential distribution and to identify the factors affecting potential distribution of 7 plants(Lamium amplexicaule L., Trigonotis peduncularis(Trevir.) Benth. ex Hemsl, Capsella bursa-pastoris (L.) L. W. Medicus, Taraxacum officinale Weber, Veronica persica Poir., Conyza sumatrensis E. Walker, Hypochaeris radicata L.) selected as indicators for climate change in agricultural ecosystem. We collected presence/absence data of 7 indicator plants at 108 sites in South Korea and applied the Maxent model. According to future climate scenario, the distribution area of C. bursa-pastoris(L.) L. W. Medicus, T. officinale Weber, and V. persica Poir. was expected to be reduced, but the distribution range was to be maintained. The distribution areas and range of the C. sumatrensis E. Walker and H. radicata L. were expected to be increased. The distribution area and range of T. peduncularis (Trevir.) Benth. Ex Hemsl. and L. amplexicalue L. were rapidly decreased. Non-climatic factors such as land cover and altitude were the most important environmental variable for T. officinale Weber, C. bursa-pastoris(L.) L.W.Medicus, V. persica Poir., T. peduncularis (Trevir.) Benth. Ex Hemsl., and L. amplexicalue L.. Climatic factors were the most important environmental variable for C. sumatrensis E. Walker and H. radicata L.. It is expected that the future potential distribution of 7 indicator plants response to climate change will be used to monitor and to establish the management plan.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.40-40
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• 2018

강원도 혹한지역에 설치된 ACSR cable(Aluminium Conductor Steel Reinforced, 강심 알루미늄 연선)에 겔러핑(Galloping), 슬릿점핑(Sleet jumping) 등 빙설해로 인한 단전 및 단락 사고가 발생하여 전력망 운영에 심각한 문제를 초래하고 있다. 특히, 빙설해로 인한 정전사고는 전기 품질의 저하 뿐만 아니라, 국지적으로 발생하여 광범위하게 영향을 미치기 때문에 이에 대한 대응 및 예방기술이 요구되고 있다. 본 연구에서는 ACSR cable의 원 소재인 알루미늄 합금(Al 6061)을 대상으로 낮은 표면에너지를 갖는 결빙방지 코팅소재로 표면처리하여 결빙방지 성능을 향상하고자 하였다. 코팅소재와 얼음과의 접합특성은 결빙접합 특성 시험기를 사용하여 정량적으로 측정하였으며 시험기의 신뢰성 확보를 위해 FEM Modeling을 수행하였다. 결빙특성 지표인 ARF(Adhesion reduction factor)를 적용하여 소재별 결빙방지 효과를 비교 평가하였다. 코팅소재는 현재 해외 국내에서 상용화되고 있는 소수성, 초소수성 소재를 선정하였으며, 결빙접합강도와 매우 밀접하게 연관되어 있는 표면 에너지, 표면 거칠기와의 상관관계를 분석함으로써 결빙방지 코팅소재의 적합성을 평가하였다. 본 연구에서 개발한 상온 경화형 실리콘 러버 코팅소재는 원 소재 Al 대비 약 8~9배 낮은 탁월한 방빙성(Anti-icing) 효과를 나타내었으며, 내구성 또한 상용소재 대비 우수한 특성을 나타내었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.376-376
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• 2020

최근의 기후변화는 이미 한반도에 평균온도의 상승과 강수량의 변화 등으로 인해 많은 수문기상학적 변화를 일으키고 있다. 낮은 빈도의 가뭄은 2~3년에 한번 꼴로 발생할 정도로 빈번하게 발생하고 있으며, 국지적인 폭우와 한반도에 영향을 미치는 태풍의 증가 등 이수와 치수측면에서의 강수의 변화는 예측하기에 어려운 정도로 그 변화의 속도가 빨라지고 있는 현실이다. 이에 수자원활용 측면에서도 기후변화를 고려하여 새롭게 평가하여야 한다. 특히나 낮은 빈도의 잦은 가뭄은 농업분야에서 용수를 공급하는 데 있어 여러 가지 문제점들을 발생시키고 농업용수 확보를 위한 대책이 필요하다. 대부분의 농업용수는 하천취수, 저수지, 지하수를 이용하고 있으며, 뚜렷한 용수원이 없는 농경지의 대부분은 지하수를 이용하는 것이 보통이다. 이러한 지하수는 물 순환 체계에서 강수에 의해 지하로 침투된 물이 토양간이나 지하대수층 등에 저류되어 지하수가 형성된다. 일반적으로 가뭄이 발생하면 우선적으로 선택되는 대책이 지하관정을 개발하여 활용하는 방안이 활용되고 있는 데 강수의 부족으로 인한 가뭄 발생시 지하수위는 어떻게 변화하는지에 대한 연구과 관측이 필요하다. 본 연구에서는 강수자료와 지하수위 그리고 강수를 활용하는 가뭄지표인 표준강수지수(SPI) 등의 자료를 활용하여 가뭄발생과 지하수위의 변동성의 상관관계를 검토하였다.

• Journal of Korea Water Resources Association
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• v.36 no.3 s.134
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• pp.345-363
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• 2003

From the General Circulation Models(GCMs), it is known that the increases of concentrations of greenhouse gases will have significant implications for climate change in global and regional scales. The GCM has an uncertainty in analyzing the meteorologic processes at individual sites and so the 'downscaling' techniques are used to bridge the spatial and temporal resolution gaps between what, at present, climate modellers can provide and what impact assessors require. This paper describes a method for assessing local climate change impacts using a robust statistical downscaling technique. The method facilitates the rapid development of multiple, low-cost, single-site scenarios of daily surface weather variables under current and future regional climate forcing. The construction of climate change scenarios based on spatial regression(transfer function) downscaling and on the use of a local stochastic weather generator is described. Regression downscaling translates the GCM grid-box predictions with coarse resolution of climate change to site-specific values and the values were then used to perturb the parameters of the stochastic weather generator in order to simulate site-specific daily weather values. In this study, the global climate change scenarios are constructed using the YONU GCM control run and transient experiments.

• Journal of the Korean earth science society
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• v.36 no.3
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• pp.210-221
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• 2015

The terrain features and surface characteristics are the most important elements not only in meteorological modeling but also in air quality modeling. The diurnal evolution of local climate over complex terrain may be significantly controlled by the ground irregularities. Such topographic features can affect a thermally driven flow, either directly by causing changes in the wind direction or indirectly, by inducing significant variations in the ground temperature. Over a complex terrain, these variations are due to the nonuniform distribution of solar radiation, which is highly determined by the ground geometrical characteristics, i.e. slope and orientation. Therefore, the accuracy of prediction of regional scale circulation is strong associated with the accuracy of land-use and topographic information in meso-scale circulation assessment. The objective of this work is a numerical simulation using MM5-A2C model with the detailed topography and land-use information as the surface boundary conditions of the air flow field in mountain regions. Meteorological conditions estimated by MM5-A2C command a great influence on the dispersion of mountain areas with the reasonable feature of topography where there is an important difference in orographic forcing.

• Journal of the Korea Institute of Building Construction
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• v.19 no.6
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• pp.529-538
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• 2019

Typhoons can cause significant financial damage worldwide. For this reason, states, local governments and insurance companies attempt to quantify and mitigate the financial risks related to these natural disasters by developing a typhoon risk assessment model. As such, the importance of typhoon risk assessment models is increasing, and it is also important to reflect local vulnerabilities to enable sophisticated assessments. Although a practical study of economic losses associated with natural disasters has identified essential risk indicators, comprehensive studies covering the correlation between vulnerability and economic loss are still needed. The purpose of this study is to identify typhoon damage indicators and to develop evaluation indicators for typhoon damage prediction functions, utilizing the loses from Typhoon Maemi as data. This study analyzes actual loss records of Typhoon Maemi provided by local insurance companies to prepare for a scenario of maximum losses. To create a vulnerability function, the authors used the wind speed and distance from the coast and the total value of property, construction type, floors, and underground floor indicators. The results and metrics of this study provide practical guidelines for government agencies and insurance companies in developing vulnerability functions that reflect the actual financial losses and regional vulnerabilities of buildings.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.3
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• pp.69-76
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• 2007

Kangwondo area is mountainous and landslide is easily happened easily during the rainy period in summer time. Especially, when there is torrential downpour caused by the unusual weather change, there will be greater possibility to see landslide. Another reason behind landslide is the continuous forest fire in these several years. Since the surface of the earth has been changed by the fire, when rainfall comes, landslide just happens easily. Also, it is reported that landcover condition, excepted rainfall condition, is the most effect for determining landslide susceptibility area. In this study, it is determined a landslide vulnerable area and landcover information is extracted from four satellite image(Landsat TM), about the landslide vulnerable area, which is pictured for each year. And which distribution change is analyzed. also, NDVI picture is made and distribution change of vegetation vitality is analyzed to study that change of landcover have a effect on landslide. As a result, could know that forest and NDVI are decreasing in landslide vulnerable area.