• Title/Summary/Keyword: 수직분포

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Vertical Distribution of Tiger Worm (Oligochaeta : Eisenia fetida) Population in the Rearing Bed (지렁이 사육상에서 줄지렁이(Eisenia fetida) 개체군의 수직분포)

  • Park, Kwang-Il;Kim, Byung-Woo;Bae, Yoon-Hwan
    • Journal of the Korea Organic Resources Recycling Association
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    • v.15 no.4
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    • pp.93-99
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    • 2007
  • Vertical distribution of tiger worm(Eisenia fetida) population in the earthworm rearing bed was investigated with feeding paper mill sludge. More than 50% of larva and adult population of Eisenia fetida lived within the depth of 5 cm from the surface of rearing bed. And more than 96% of the population of larva, adult and cocoon lived within the depth of 20 cm. Percental vertical distribution of Eisenia fetida population in the rearing bed was not much influenced by the changes in the height of rearing bed or density of earthworm population.

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Orientations of Vertical Rift and Grain Planes in Mesozoic Granites, Korea (국내의 중생대 화강암류에서 발달하는 수직의 1번 및 2번 면의 방향성)

  • Park, Deok-Won
    • The Journal of the Petrological Society of Korea
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    • v.16 no.1 s.47
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    • pp.12-26
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    • 2007
  • We have studied orientational characteristics of vertical rift and grain planes developing in 108 quarries for Mesozoic granites. Orientations of these planes vary in different localities. In general, orientations of these planes are predominantly NNE in South Korea. From the regional distribution chart, orientations of these planes show three dominant sets in terms of frequency orders: (1) $N2{\sim}10^{\circ}E(1st-order),\;(2)\;N15{\sim}25^{\circ}E(2nd-order),\;(3)\;N45{\sim}70^{\circ}E,\;N10{\sim}30^{\circ}W\;and\;N70{\sim}80^{\circ}W(3rd-order)$. These granite quarries are classified by the relative difference in the easiness of rock splitting between horizontal and vertical quarrying planes into: R-type, G-type, and H-type. The results showed that quarries for Triassic granites belong to R and G-types;those for Jurassic granites belong to R, G and H-types. In addition, quarries for Cretaceous granites belong mainly to R-type. Among these quarry types, the most diverse type was identified in the quarries for Jurassic granites. R-type (77.8%) shows a higher distribution ratio compared with G and H-types (22.2%). In general, anisotropy of physical properties is found in granitic rocks and there exists close correlation between orientations of granitic rock splitting planes and those of the open microcracks. Meanwhile, it has been reported that preferred orientations of open microcracks suggest maxinum principal stress orientations.

Distribution of Zooplankton in Asan Bay, Korea with Comments on Vertical Migration (아산만 동물플랑크톤 분포와 수직이동)

  • PARK Chul;CHOI Keun-Hyung;MOON Chang-Ho
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.24 no.6
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    • pp.472-482
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    • 1991
  • Seasonal distributions of zooplankton were investigated in Asan Bay, Korea. Labidocera euchaeta, Sagitta crassa, Calanus sinicus, Acartia omorii were dominant taxa throughout the year with seasonally varying percent compositions. Bivalve veliger larva (fall), Decapoda larva (spring and summer), and Paracalanus Parvus, Evadne tergestina (summer) were also dominated during contain period. The patterns of time dependent vertical distributions of one major taxon, A. omorii, showed seasonal differences, i.e., it showed the trends of normal vertical migration in winter and reversed vertical migration in spring. At surface layer day time abundances were equal or less than night time abundances in general.

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A Numerical Study on Characteristics of Fluid Flow in Rough Fractures with Spatial Correlation Length and Mechanical Effect (공간적 상관길이와 역학적 효과에 따른 거친 단일 균열 내의 유체 흐름에 관한 수치적 연구)

  • Jeong, Woochang
    • Journal of the Korean GEO-environmental Society
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    • v.8 no.4
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    • pp.27-39
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    • 2007
  • This paper investigates numerically characteristics of the fluid flow in spatially correlated variable-aperture fractures under effective normal stress conditions. Spatially correlated aperture distributions are generated by using the geostaistical method (i.e. Turning Bands algorithm). In order to represent a nonlinear relationship between the effective normal stress and the fracture aperture, a simple mechanical formula is combined with a local flow model. Obtained numerical results indicate that the fluid flow is significantly affected by the geometry of aperture distribution varying according to the applied effective normal stress as well as the spatial correlation length of aperture distribution. Moreover, by using results simulated in this study, the modified Louis formula representing the relationship between the effective normal stress and the effective permeability of fracture is proposed.

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Spatial Distribution Characteristics of Vertical Temperature Profile in the South Sea of Jeju, Korea (제주 남부해역 수온 수직구조의 공간분포 특성 파악)

  • Yoon, Dong-Young;Choi, Hyun-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.162-174
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    • 2012
  • To visualize the characteristics of vertical seawater temperature data, in the ocean having 3D spatial characteristics, 2D thematic maps like horizontal seawater temperature distribution map at each depth layer and 3D volume model using 3D spatial interpolation are used. Although these methods are useful to understand oceanographic phenomena visually, there is a limit to analyze the spatial pattern of vertical temperature distribution or the relationship between vertical temperature characteristics and other oceanic factors (seawater chemistry, marine organism, climate change, etc). Therefore, this study aims to determine the spatial distribution characteristics of vertical temperature profiles in the South Sea of Jeju by quantifying the characteristics of vertical temperature profiles by using an algorithm that can extract the thermocline parameters, such as mixed layer depth, maximum temperature gradient and thermocline thickness. For this purpose spatial autocorrelation index (Moran's I) was calculated including mapping of spatial distribution for three parameters representing the vertical temperature profiles. Also, after grouping study area as four regions by using cluster analysis with three parameters, the characteristics of vertical temperature profiles were defined for each region.