• Journal of The Geomorphological Association of Korea
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• v.19 no.3
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• pp.51-69
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• 2012

Physical strength of the rock is the most important factor of resistance to erosion and has been measured through various way. Bedrock microforms, like potholes and grooves, are the forms sculpted by the erosional processes of flow and the location and morphology are strongly affected by the differential erosion. It also assumed that the physical strength of the rock controls the erosion rate and mode of erosion. The schmidt hammer has been used to measure the rock strength in the field for the geomorphological research. To find the relationship between the rock strength and microforms, Schmidt hammer's R(rebound) were measured in the Baeksuktan, middle reach of Gilancheon, Cheongsong, Gyungsangbuk do. The overall values of rebound of the local sandstone showed over 65 in most cases, so it can be regarded as 'very strong'. It is found that the rebound values of the rock surface decreased towards current water level. It also, however, found that there was no systematic differences in rebound values among the topographically high and lows in the bedrock surface. There was no statistically significant difference in rebound values of the area with well developed microforms and others. The values of R from the exposed faces and inside of the microforms are similar. In the case of conglomerate, the part with the gravel showed higher values that the parts with sands. The rebound values are decreased near of(<1cm) the geological discontinuities(including joint and faults), so this line of weakness could be the point of initiation of active erosion to form microforms. However there is large variations in rebound values within this part. It also should be mentioned that topological relation between the strike of the geologic discontinuities and flow direction looks control the mode of erosional processes.

• Economic and Environmental Geology
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• v.52 no.5
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• pp.323-336
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• 2019

The Mesozoic activity on the Korean Peninsula is mainly represented by the Triassic post-collisional, Jurassic orogenic, and Cretaceous post-orogenic igneous activities. The diversity of mineralization by each geological period came from various geothermal systems derived from the geochemical characteristics of magma with different emplacement depth. The Cretaceous metallic mineralization has been carried out over a wide range of time periods from ca. 115 to 45 Ma (main stage; ca. 100 to 60 Ma) related to post-orogenic igneous activity, and spatial distribution patterns of most metal deposits are concentrated along small granitic stocks. The late Cretaceous metal deposits in the Gyeonggi and Yeongnam massifs are generally distributed along the boundary among the Gongju-Eumseong fault system and the Yeongdong-Gwangju fault system and the Gyeongsang Basin, most of them are in the form of a distal epithermal~mesothermal Au-Ag vein or a transitional mesothermal Zn-Pb-Cu vein. On the other hand, diverse metal commodities in the Taebaeg Basin, the Okcheon metamorphic belt and the Gyeongsang Basin are produced from various deposit types such as skarn, carbonate-replacement, vein, porphyry, breccia pipe, and Carlin type. In the late Cretaceous metallic mineralization, various mineral deposits and commodities were induced not only by the pathway of the hydrothermal solution, but also by the diversity of precipitation environment in the proximity difference of the granitic rocks. The diversity of these types of Cretaceous deposits is fundamentally dependent on the geochemical characteristics such as degree of differentiation and oxidation state of related igneous rocks, and ore-forming fluids generally exhibit the evolutionary characteristics of intermediate- to low-sulfur hydrothermal fluids.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.640-640
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• 2015

2010년과 2011년 서울에서 발생한 집중호우와 2014년 부산에서 발생한 집중호우의 발생으로 막대한 재산상의 피해와 사상자를 냈다. 2010년 9월 21일에 발생한 집중호우는 1908년 관측시작이래 가장 많은 비가 내린 것으로 기록되었으며 주거지 4,727호, 상가 1,164호, 공장 126동 등이 침수되고 13시를 기준으로 강서지점의 경우 시간당 98.5mm의 기록적인 강우를 기록하였으나, 관악지점은 5.5mm에 그쳐 두 지점간의 시간당 강우량의 편차가 약 200배 가까이 차이가 나는 것으로 나타났다. 이와 같이 최근 도시지역에서 국지성 집중호우가 증가하고 있으며 지역별 강우 편차가 크고 이에 따라 침수피해발생 여부도 지역에 따라 달라진다. 강수의 공간적 분포와 그로 인한 침수해석은 도시돌발홍수 예경보 시스템에 있어 무엇보다도 중요하다. 본 연구의 목적은 도시지역 돌발홍수 예경보 시스템 구축을 위한 정량적 강수추정 QPE(Quantitative Precipitation Estimation)기법에 따른 수리 수문학적 영향을 평가하는 것이다. 정량적 강수추정을 위해 AWS, SKP, 레이더 자료를 활용하여 250m의 해상도를 가지도록 크리깅을 적용하였다: QPE 1은 34개의 AWS의 지점우량을 지구통계학적 기법 중의 하나인 크리깅을 이용하여 산정한 기법, QPE 2는 AWS와 156개의 SKP의 강우데이터를 크리깅을 이용하여 산정한 기법, QPE 3는 광덕산 레이더를 이용한 기법, QPE 4는 AWS, SKP, 광덕산 레이더 자료를 조건부 합성한 기법이다. 월류량을 산정하기 위해 도시유출해석모형인 SWMM을 강남역 일대를 대상으로 구축하고 우수관로 시스템으로 유입되지 못한 노면류(Surface flow)를 함께 고려하였다. 침수해석을 위해서는 DHM모델을 적용하였으며 2013년 7월 기간에 발생한 호우에 대하여 분석을 수행하였다. 비교수행을 위해서 인접한 서초 AWS와 강남 AWS의 지점강우량도 함께 고려하였으며 모의결과를 국가 재난관리 정보 시스템(NMDS)에 침수피해가 확인된 가옥 및 빌딩 정보와 일치여부를 적합도로 산정하였다. 산정된 적합도를 통하여 정량적 강수추정기법에 따른 수리?수문학적 영향을 평가하였다. 실제 침수흔적정보와 비교 결과, QPE 2와 QPE4가 가장 적합도가 높았으며 이에 따라 고밀도의 관측망의 구성이 도시지역 침수해석결과에도 적합할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.362-362
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• 2019

제주도는 화산섬의 지질특성상 지표수의 개발이용여건이 취약한 관계로 용수의 대부분을 지하수에 의존하고 있다. 따라서 제주도는 정책 및 연구적으로 오랜 기간 동안 지하수의 보전관리에 많은 노력을 기울여 오고 있다. 하지만 최근 기후변화로 인한 지하수위의 하강 및 해수면 상승으로 인한 해수침투의 문제가 꾸준히 제기되고 있으며, 제주도 일부지역에서는 축산폐수 등으로 인해 지하수의 수질오염문제가 발생하고 있다. 따라서 제주도 지하수의 수량 및 수질에 대한 체계적인 관리의 필요성이 증대되고 있다. 지하수에 절대적으로 의존하고 있는 제주도의 수자원의 개발 및 이용 여건을 고려할 때, 지하수의 수량 및 수질에 대한 학술적 토대가 확고히 구축되어야 할 뿐만 아니라 기후변화에 대응한 최적 물관리기법의 개발이 필요한 실정이다. 하지만 제주도의 수자원에 대한 기존의 연구들은 제주도 전역에 대해 최신의 분석방법을 사용한 종합적인 연구가 아닌 일부지역을 대상으로 한 지하지질분석, 지구물리탐사 및 대수성시험 위주의 단편적 분석, 개념적 수문모델의 적용에 의한 대략적인 분석, 또는 일부지역을 대상으로 한 지하수 흐름분석 및 해수침투 분석 위주로 수행되었다. 이러한 기존의 연구들은 여러 가지 문제점을 내포하고 있는데 첫째, 일부지역의 지하지질이 제주도의 복잡한 지하지질특성을 대표할 수 없다는 점과 둘째, 개념적 수문모델은 제주도와 같이 강우의 큰 시공간적 변동성을 고려할 수 없으며 지하지질 특성의 공간적 변동성 또한 적절히 반영할 수 없다는 점 및 셋째, 지하수의 이동은 유역경계와 일치하지 않으므로 독립된 소유역을 대상으로 산정한 지하수 부존량은 소유역내 실제 지하수 부존량과 다를 수 있다는 점 그리고 마지막으로 개별적으로 수행된 지표수, 지하수 및 수질 분석들은 서로 연결성이 없어 이들 간의 상호작용을 고려하지 않아 그 결과의 신뢰성이 떨어진다는 점 등이다. 이러한 제주도에 대한 기존 연구들의 한계점을 극복하기 위해서는 제주도 전역에 대한 종합적인 연구가 필요하다. 이를 위한 방안으로서 제주도 전체를 대상으로 한 최신의 분포형 수문모델의 구축이 필요하며 이 수문모델은 지표수 및 지하수의 상호작용과 해수침투 및 수질 또한 모의할 수 있어야 할 것이다. 그리고 이 개발된 모형과 기후변화 시나리오를 사용하여 미래 수자원변화에 대한 대응이 필요하다. 이에 대한 해외연구사례로서 미국지질조사국이 하와이 섬들 및 괌 등에 대해 수행했던 연구들을 참고할 수 있다. 제주도 전체에 대한 신뢰할만한 종합적인 분석결과는 제주도 수자원의 정책수립에 기초로 활용할 수 있을 것이다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.129-141
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• 2019

In recent years, fast growing cities in Korea are showing signs of being vulnerable to more disasters as their population and facilities increase and intensify. In particular, fire is one of the most common disasters in Korea's cities, along with traffic accidents. Therefore, in this study, we analyze what type of factors affect the fire that threatens urban people. Fire data were acquired for 10 years, from 2007 to 2017, in Jinju, Korea. Spatial distribution pattern of fire occurrence in Jinju was assessed through the spatial autocorrelation analysis. First, spatial autocorrelation analysis was carried out to grasp the spatial distribution pattern of fire occurrence in Jinju city. In addition, correlation and multiple regression analysis were used to confirm spatial dependency and abnormality among factors. Based on this, OLS (Ordinary Least Square) regression analysis was performed using space weighting considering fire location and spatial location of each facility. As a result, First, LISA (Local Indicator of Spatial Association) analysis of the occurrence of fire in Jinju shows that the most central commercial area are fire department, industrial area, and residential area. Second, the OLS regression model was analyzed by applying spatial weighting, focusing on the most derived factors of multiple regression analysis, by integrating population and social variables and physical variables. As a result, the second kind of neighborhood living facility showed the highest correlation with the fire occurrence, followed by the following in the order of single house, sales facility, first type of neighborhood living facility, and number of households. The results of this study are expected to be useful for analyzing the fire occurrence factors of each facility in urban areas and establishing fire safety measures.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.337-347
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• 2018

Weather causes much of the risk of agricultural activity. For efficient farming, we need to use weather information. Modern agriculture has been developed to create high added value through convergence with state-of-the-art Information and Communication Technology (ICT). This study deals with the quality control algorithms of weather monitoring equipment through Ubiquitous Sensor Network (USN) observational equipment for efficient cultivation of cabbage. Accurate weather observations are important. To achieve this goal, the Korea Meteorological Administration, for example, developed various quality control algorithms to determine regularity of the observation. The research data of this study were obtained from five USN stations, which were installed in Anbandegi and Gwinemi from 2015 to 2017. Quality control algorithms were developed for flat line check, temporal outliers check, time series consistency check and spatial outliers check. Finally, the quality control algorithms proposed in this study can also identify potential abnormal observations taking into account the temporal and spatial characteristics of weather data. It is expected to be useful for efficient management of highland cabbage production by providing quality-controlled weather data.

• Journal of Korean Society of Disaster and Security
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• v.11 no.2
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• pp.37-43
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• 2018

The storm surge is caused by an typhoons and it is not easy to predict the location, strength, route of the storm. Therefore, research using a scenario for storms occurrence has been conducted. In Korea, hazard maps for various scenarios were produced using the storm surge numerical simulation. Such a method has a disadvantage in that it is difficult to predict when other scenario occurs, and it is difficult to cope with in real time because the simulation time is long. In order to compensate for this, we developed a method to predict the storm surge damage by using research database. The risk grade prediction for the storm surge was performed predominantly in the study area of the East coast. In order to estimate the equation, COMSOL developed by COMSOL AB Corporation was utilized. Using some assumptions and limitations, the form of the basic equation was derived. the constants and coefficients in the equation were estimated by the trial and error method. Compared with the results, the spatial distribution of risk grade was similar except for the upper part of the map. In the case of the upper part of the map, it was shown that the resistance coefficient, k was calculated due to absence of elevation data. The SIND model is a method for real-time disaster prediction model and it is expected that it will be able to respond quickly to disasters caused by abnormal weather.

• Convergence Security Journal
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• v.17 no.5
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• pp.41-47
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• 2017

The Marine Environment Observation Information System supplies oceanographic information elements such as water temperature, chlorophyll, float, etc. based on satellite images to consumers. The data produced by the Korean marine environmental observatories are located in the coastal areas of Korea. But if the range is too far from a particular area of interest, due to distance or spatial constraints, the accuracy and up-to-dateness of the data can not be relied upon. Therefore, it is necessary to perform fusion and complex operation to solve the difference between the field observation and the marine satellite image. In this study, we develop a system that can process marine environmental information in the user's area of interest in the form of layered character (numeric) information considering the readability and light weight rather than the satellite image. In order to intuitively understand satellite image information, we characterize (quantify) the marine environmental information of the area of interest and we process the satellite image band values into layered characters to minimize the absolute amount of transmitted / received data. Also we study modular location-based interest information service method to be able to flexibly extend and connect interested items that diversify various observation fields as well as application technology to serve this.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.299-309
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• 2019

This study was designed to assess the quality and quantity of food resources such as the chlorophyll a concentration (Chl-a), the particulate organic carbon (POC) and the particulate organic nitrogen (PON), on blood cocke (Tegillarca granosa Linnaeus) farms from May to November 2017 in the northwestern area of Yeoja Bay, Korea. The values of Chl-a, POC and PON were $1.69-7.68{\mu}g{\cdot}L^{-1}$ (average: $3.48{\mu}g{\cdot}L^{-1}$ in the surface), 0.88-2.58 mM (average: 1.97 mM) and 0.17-0.90 mM (average: 0.54 mM), respectively, and these values were higher in the spring and summer and lower in the autumn. Furthermore, Chl-a and POC had higher values on the bottom layer than those vales on the surface, while PON had higher values on the surface than those values on the bottom. The POC/PON ratio and POC/Chl-a ratio were 1.56-7.88 (average: 3.71 on the surface of the water) and 216-967 (average: 700 on the bottom of the water), respectively, with most of the carbon sources being sediment-accumulated particle organic matter, and the contribution by phytoplankton was assessed as being low. These results show that the food source of the blood cockle farms in the northwest area of Yeoja Bay seems to be abundant in quantity, but this is considered to be very poor in quality.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.3
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• pp.167-182
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• 2021

This study was carried out to investigate temporal and spatial distribution of macrobenthic community and elucidate effects of environmental factors on change of community structure in an intertidal flat, Hakseong-ri, Boryeong, Korea. Field surveys were seasonally conducted to collect samples of sediment and macrobenthos using can core in triplicate at nine stations in 2016 and 2017. Our results showed that sediment had high mud content (above 60%) in most samples and mean content of loss on ignition was 2.3% in 2016. A total of 79 species was collected in the study site during the study period. Mean density and biomass were 611 ind./m² and 64.1 gWWt/m², respectively. Heteromastus filiformis was the dominant species (48.6%, 297 ind./m²) followed by Macrophthalmus japonicus (10.1%, 62 ind./m²) and Upogebia major (6.9%, 42 ind./m²). Three assembly groups resulted from cluster analysis were more distinguished by interaction between organisms and frequency of dominant species than by physical and chemical environment characteristics. In addition, macrobenthic community in the Hakseong intertidal flat showed seasonal changes based on non metric multidimensional scaling using species abundance.