• Nuclear Engineering and Technology
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• 제33권4호
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• pp.441-456
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• 2001

ABB-CE＇s regionalization methodology for the core inlet flow distribution map is reviewed. This methodology merges the test data of fuel assembly locations which are either in symmetry or strongly correlated with others. It increases the number of available test data for each regional flow factor It makes up effectively for the deficiency due to limited number of test data. It also contributes to making the core inlet flow distribution smoother not only locally but also over the entire core, and to relieving the impacts of test errors that may happen due to some do- calibrated local pressure measurement taps. As a result, the core inlet How distribution data becomes more statistically useful and thus the conservatism involved in handling the core inlet flow factors for the thermal margin analysis is expected to be reduced. Meanwhile, the regionalized map may lose the unique local characteristics in core inlet flow distribution too much. By an alternative approach introduced in the present work, it is shown that such a disadvantage can be mitigated somewhat if the engineering judgement is made more

• 지질공학
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• 제28권1호
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• pp.35-45
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• 2018

이미징 기술은 매질 자체의 구조특성 뿐만 아니라 유체의 유동특성을 분석하기 위해 공극규모, 코어규모, 그리고 중급규모에서 다양하게 활용되고 있다. 본 기술보고에서는 코어규모에서 유동실험과 이미징기술을 연계하여 균질매질, 균열매질, 그리고 불균질매질에서의 이산화탄소($CO_2$) 유동 특성과 함께 $CO_2$ 주입시 주입관정 주변에서 발생할 수 있는 염침전 현상, 균질매질과 균열매질에서의 모세관압 평가, 그리고 $CO_2$ 주입이 완료된 이후 나타나는 포획메커니즘 평가 등에 대해 살펴보았다. 이미징기술을 통해 코어내에서 시간에 따른 $CO_2$ 플룸을 이미지화 함으로써 유동특성을 분석할 수 있으며, 특히 균열이 포함된 매질과 불균질한 매질에서의 유동 및 저장특성을 평가할 수 있다.

• 한국산림과학회지
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• 제96권5호
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• pp.591-601
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• 2007

Spatial information on forest biomass is an important factor to evaluate the capability of forest as a carbon sequestrator and is a core independent variable required to drive models which describe ecological processes such as carbon budget, hydrological budget, and energy flow. The objective of this study is to understand the relationship between satellite image and field data, and to quantitatively estimate and map the spatial distribution of forest biomass. Landsat Enhanced Thematic Mapper (ETM+) derived vegetation indices and field survey data were applied to estimate the biomass distribution of mountainous forest located in Gwangneung Experimental Forest (230 ha). Field survey data collected from the ground plots were used as the dependent variable, forest biomass, while satellite image reflectance data (Band 1~5 and Band 7), Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and RVI (Ratio Vegetation Index) were used as the independent variables. The mean and total biomass of Gwangneung catchment area were estimated to be about 229.5 ton/ha and $52.8{\times}10^3$ tons respectively. Regression analysis revealed significant relationships between the measured biomass and Landsat derived variables in both of deciduous forest ($R^2=0.76$, P < 0.05) and coniferous forest ($R^2=0.75$, P < 0.05). However, there still exist many uncertainties in the estimation of forest ecosystem parameters based on vegetation remote sensing. Developing remote sensing techniques with adequate filed survey data over a long period are expected to increase the estimation accuracy of spatial information of the forest ecosystem.