• Earthquakes and Structures
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• 제9권1호
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• pp.93-109
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• 2015

Based on the reconnaissance of buildings in Dujiangyan City during 2008 Wenchuan earthquake, China, structural damage characteristics and the spatial distribution of structural damage are investigated, and the possible reasons for the extraordinary features are discussed with consideration of the influence of urban historical evolution and spatial variation of earthquake motions. Firstly, the urban plan and typical characteristics of structural seismic damage are briefly presented and summarized. Spatial distribution of structural damage is then comparatively analyzed by classifying all surveyed buildings in accordance with different construction age, considering the influence of seismic design code on urban buildings. Finally, the influences of evolution of seismic design code, topographic condition, local site and distance from fault rupture on spatial distribution of structural damage are comprehensively discussed. It is concluded that spatial variation of earthquake motions, resulting from topography, local site effect and fault rupture, are very important factor leading to the extraordinary spatial distribution of building damage except the evolution of seismic design codes. It is necessary that the spatial distribution of earthquake motions should be considered in seismic design of structures located in complicated topography area and near active faults.

• 한국작물학회지
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• 제50권4호
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• pp.221-237
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• 2005

For developing the site-specific fertilizer management strategies of crop, it is essential to know the spatial variability of soil factors and to assess their influence on the variability of crop growth and yield. In 2002 and 2003 cropping seasons within-field spatial variability of rice growth and yield was examined in relation to spatial variation of soil properties in the· two paddy fields having each area of ca. $6,600m^2$ in Suwon, Korea. The fields were managed without fertilizer or with uniform application of N, P, and K fertilizer under direct-seeded and transplanted rice. Stable soil properties such as content of clay (Clay), total nitrogen (TN), organic mater (OM), silica (Si), cation exchange capacity (CEC), and rice growth and yield were measured in each grid of $10\times10m$. The two fields showed quite similar spatial variation in soil properties, showing the smallest coefficient of variation (CV) in Clay $(7.6\%)$ and the largest in Si $(21.4\%)$. The CV of plant growth parameters measured at panicle initiation (PIS) and heading stage (HD) ranged from 6 to $38\%$, and that of rice yield ranged from 11 to $21\%$. CEC, OM, TN, and available Si showed significant correlations with rice growth and yield. Multiple linear regression model with stepwise procedure selected independent variables of N fertilizer level, climate condition and soil properties, explaining as much as $76\%$ of yield variability, of which $21.6\%$ is ascribed to soil properties. Among the soil properties, the most important soil factors causing yield spatial variability was OM, followed by Si, TN, and CEC. Boundary line response of rice yield to soil properties was represented well by Mitcherich equation (negative exponential equation) that was used to quantify the influence of soil properties on rice yield, and then the Law of the Minimum was used to identify the soil limiting factor for each grid. This boundary line approach using five stable soil properties as limiting factor explained an average of about $50\%$ of the spatial yield variability. Although the determination coefficient was not very high, an advantage of the method was that it identified clearly which soil parameter was yield limiting factor and where it was distributed in the field.

• Journal of Ecology and Environment
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• 제32권2호
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• pp.67-73
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• 2009

Soil $CO_2$ efflux can vary markedly in magnitude over both time and space, and understanding this variation is crucial for the correct measurement of $CO_2$ efflux in ecological studies. Although considerable research has quantified temporal variability in this flux, comparatively little effort has focused on its spatial variability. To account for spatial heterogeneity, we must be able to determine the number of sampling points required to adequately estimate soil $CO_2$ efflux in a target ecosystem. In this paper, we report the results of a study of the number of sampling points required for estimating soil $CO_2$ efflux using a closed-dynamic chamber in young and old Japanese cedar plantations in central Japan. The spatial heterogeneity in soil $CO_2$ efflux was significantly higher in the mature plantation than in the young stand. In the young plantation, 95% of samples of 9 randomly-chosen flux measurements from a population of 16 measurements made using 72-$cm^2$ chambers produced flux estimates within 20% of the full-population mean. In the mature plantation, 20 sampling points are required to achieve means within $\pm$ 20% of the full-population mean (15 measurements) for 95% of the sample dates. Variation in soil temperature and moisture could not explain the observed spatial variation in soil $CO_2$ efflux, even though both parameters are a good predictor of temporal variation in $CO_2$ efflux. Our results and those of previous studies suggest that, on average, approximately 46 sampling points are required to estimate the mean and variance of soil $CO_2$ flux in temperate and boreal forests to a precision of $\pm$ 10% at the 95% confidence level, and 12 points are required to achieve a precision of $\pm$ 20%.

• 한국터널지하공간학회 논문집
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• 제8권3호
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• pp.249-257
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• 2006

지반 설계 인자는 공간적으로 분포하는 특성이 있으며, 이는 터널의 설계와 시공과정 뿐만 아니라 장기 거동에 큰 영향을 미친다. 그러나 일반적으로 터널의 수치해석을 위한 설계 지반 인자는 대상 영역을 대표하는 값 또는 대상 영역의 광역적 평균값 등이 적용되고 있다. 특히, 지하공간의 크기가 증가할수록 설계 지반 인자의 불확실성 및 공간적 분포 또한 증가한다. 결국 이러한 불확실성과 공간적 분포 특성의 확대는 해석의 정확성 및 신뢰성 저하를 초래하게 된다. 따라서, 대형 터널의 구조적 안정성을 확보하기위해 지반 물성치들의 공간적인 분포에 대한 정량적인 조사가 설계시 포함되어야 한다. 본 연구에서는 지반 물성치 및 구조적 설계 인자의 공간적 분포가 터널의 변위에 미칠 수 있는 영향을 분석하였다. 여러 COV(Coefficient of Variation)에 따라 정규분포하는 지반 물성치의 공간적 특성이 이상화된 원형 터널의 변위에 미치는 영향에 대한 분석과, NATM(New Austrian Tunneling Method) 터널에서 숏크리트의 강도의 공간적 분포가 터널 변위에 미치는 영향을 분석하였다. 공간적 분포의 COV가 증가할수록 터널 주변 발생하는 변위량도 증가하는 것으로 나타났으며, 분석 결과 이들은 지반 물성치에 따라 고유한 계수를 갖는 삼차방정식으로 표현된다.

• 한국지반공학회논문집
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• 제26권10호
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• pp.39-47
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• 2010

본 논문에서는 분석영역 내 압축지수 분포특성이 압밀침하량의 공간적 분포에 미치는 영향을 알아보기 위해, 압축지수의 분포특성을 고려한 압밀침하 추정방법을 제시하고 추정방법에 따른 압밀침하량 추정 결과를 비교해 보았다. 지반이 불균질한 경우에는 간극비를 이차변수로 이용한 정규공동크리깅이 신뢰할 수 있는 앙축지수 추정결과를 제공하는 것으로 관찰되었으며 이는 감소된 smoothing effect로 인한 것이다. 압축지수와 간극비의 공간적 분포를 고려하는 경우(Case-l)와 모든 지반물성치의 평균값을 쓰는 경우(Case-2) 두 방법은 압밀침하량의 공간적 분포를 상당히 다르게 평가하며, Case-1이 Case-2에 비해 거리에 따른 압밀침하량의 변화가 상대적으로 큰 것으로 나타났다. Case-1의 경우 압밀침하의 공간적 분포는 압밀층 두께뿐만 아니라 압축지수의 분포에도 영향을 받는 반면 Case-2의 경우 압밀층의 두께 분포에 가장 큰 영향을 받는 것으로 나타났다.

• 대한토목학회논문집
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• 제29권4C호
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• pp.137-144
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• 2009

본 연구에서는 대형압밀시험 장비를 이용하여 연직배수재 타설로 스미어가 발생된 지반을 모사하고 실험을 수행하였다. 스미어가 발생한 카올리나이트 모형지반에서 배수재로부터의 거리에 따라 시료를 채취하고 이를 이용하여 표준압밀시험을 실시하였으며, 이로부터 투수계수-간극비-유효응력의 3차원 거동을 분석하였다. 실험결과 스미어 발생으로 나타나는 위치별 투수계수 차이와 스미어와 무관하게 방사배수 압밀 중 나타나는 위치별 투수계수 차이는 모두 압밀진행에 따라 감소하며 정규 압밀영역에서 거의 사라진다. 또한 스미어로 인한 것보다 방사배수 압밀로 인한 위치별 투수계수 차이가 상대적으로 더 작은 영역에서 더 크게 나타났다.

• 한국수산과학회지
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• 제54권4호
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• pp.480-488
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• 2021

The term residence time is defined as the time taken for substances in a system to leave the system and is a useful concept to explain the physical environment characteristics of a coastal area. It is important to know the spatial characteristics of the residence time to understand the behavioral properties of pollutants generated in a marine system. In this study, the spatial distribution of average residence time was calculated for Gangjin Bay, Korea, using a hydrodynamic model including a particle tracking module. The results showed that the average residence time was about 10 days at the surface layer and about 20 days at the bottom layer. Spatially, this was the longest residence time in the southwestern sea. There was no significant difference in average residence time at the surface layer due to freshwater discharge, but spatial variation at the bottom layer was larger. The average residence time at the bottom layer decreased in the southwestern area due to freshwater discharge and increased in the northern area. This result suggests that the residence time of anthropogenic pollutants may have a large spatial difference depending on the freshwater discharge, and thus the time taken to influence cultured organisms may also vary.

• 한국토양비료학회지
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• 제48권6호
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• pp.658-665
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• 2015

Temporal and spatial variation of soil moisture is important for understanding patterns of climate change, for developing and evaluating land surface models, for designing surface soil moisture observation networks, and for determining the appropriate resolution for satellite-based remote sensing instruments for soil moisture. In this study, we measured several soil moistures in upland soil using Advanced Microwave Scanning Radiometer 2 (AMSR2) Soil Moisture Content (SMC) during eight-month period in Chungbuk province. The upland soil moisture properties were expressed by simple statistical methods (average, standard deviation and coefficient of variation) from the monthly context. Supplementary studies were also performed about the effect of top soil texture on the soil moisture responses. If the results from this study were utilized well in specific cities and counties in Korea, it would be helpful to establish the countermeasures and action plans for preventing disasters because it was possible to compare with the relationship between soil moisture and top soil texture of each region. And it would be the fundamental data for estimating the effect of future agricultural plan.

• Geomechanics and Engineering
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• 제36권6호
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• pp.631-640
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• 2024

In the traditional slope stability analysis, ignoring the spatial variability of slope soil will lead to inaccurate analysis. In this paper, the K-L series expansion method is adopted to simulate random field of soil strength parameters. Based on Random Limit Equilibrium Method (RLEM), the influence of variation coefficient and fluctuation range on reliability of soil slope supported by micro-pile is investigated. The results show that the fluctuation ranges and the variation coefficients significantly influence the failure probability of soil slope supported by micro-pile. With the increase of fluctuation range of soil strength parameters, the mean safety factor of the slope increases slightly. The failure probability of the soil slope increases with the increase of fluctuation range when the mean safety factor of the slope is greater than 1. The failure probability of the slope increases by nearly 8.5% when the fluctuation range is increased from δ_v=2 m to δ_v =8 m. With the increase of the variation coefficient of soil strength parameters, the mean safety factor of the slope decreases slightly, and the probability of failure of soil slope increases accordingly. The failure probability of the slope increases by nearly 31% when the variation coefficient increases from COV_c=0.2, COV_φ=0.05 to COV_c=0.5, COV_φ=0.2.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.434-436
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• 2005

Analysis method using remote sensing data is one of the effective ways to research a spatial and temporal variability of the mesoscale oceanic motions. During past several decades, many researchers have been getting comprehensive results using remote sensing data with application of data fusion methods in many parts of geo-science. For this study, we took the integration and fusion of several remote sensing data, which are different data resolution, timescale and characteristics, for improving accurate analysis of variation of the Kuroshio Extension. Furthermore, we might get advanced ways to understand the variability of the Kuroshio Extension, has close relation to the spatial and temporal variation of the Kuroshio and Oyashio Current.