• Title/Summary/Keyword: 시.공간분포

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Geostatistical Integration Analysis of Geophysical Survey and Borehole Data Applying Digital Map (수치지도를 활용한 탄성파탐사 자료와 시추조사 자료의 지구통계학적 통합 분석)

  • Kim, Hansaem;Kim, Jeongjun;Chung, Choongki
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.3
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    • pp.65-74
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    • 2014
  • Borehole investigation which is mainly used to figure out geotechnical characterizations at construction work has the benefit that it provides a clear and convincing geotechnical information. But it has limitations to get the overall information of the construction site because it is performed at point location. In contrast, geophysical measurements like seismic survey has the advantage that the geological stratum information of a large area can be characterized in a continuous cross-section but the result from geophysics survey has wide range of values and is not suitable to determine the geotechnical design values directly. Therefore it is essential to combine borehole data and geophysics data complementally. Accordingly, in this study, a three-dimensional spatial interpolation of the cross-sectional distribution of seismic refraction was performed using digitizing and geostatistical method (krigring). In the process, digital map were used to increase the trustworthiness of method. Using this map, errors of ground height which are broken out in measurement from boring investigation and geophysical measurements can be revised. After that, average seismic velocity are derived by comparing borehole data with geophysical speed distribution data of each soil layer. During this process, outlier analysis is adapted. On the basis of the average seismic velocity, integrated analysis techniques to determine the three-dimensional geological stratum information is established. Finally, this analysis system is applied to dam construction field.

Genetic Diversity and Spatial Genetic Structure of Populus koreana Population in Mt. Odae, Korea (오대산 물황철나무(Populus koreana) 집단의 유전다양성 및 공간적 유전구조 분석)

  • Shin, Sookyung;Song, Jeong-Ho;Lim, Hyo-In;Jang, Kyung-Hwan;Hong, Kyung-Nak;Lee, Jei-Wan
    • Journal of Korean Society of Forest Science
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    • v.103 no.1
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    • pp.59-64
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    • 2014
  • This study describes analysis of genetic diversity and spatial genetic structure of Korean poplar (Populus koreana Rehder) in Mt. Odae using I-SSR markers. P. koreana is a deciduous broad-leaved tree species that primarily grows in the alpine valleys of China, Russia and North Korea. In South Korea, P. koreana is found limitedly in Gangwon province. Especially, the population in Mt. Odae is located on the southern limit line, its importance is emphasized from the genetic resource conservation perspective. The Shannon's diversity (I=0.230) and the expected heterozygosity (He=0.151) were relatively low as compared with those of other plant species. Spatial autocorrelation analysis using Tanimoto's distance showed that the genetic patch was founded within 400 m. It is suggested that individual trees for ex situ conservation should be sampled with a minimum distance of 400 m between trees.

Declustering of High-dimensional Data by Cyclic Sliced Partitioning (주기적 편중 분할에 의한 다차원 데이터 디클러스터링)

  • Kim Hak-Cheol;Kim Tae-Wan;Li Ki-Joune
    • Journal of KIISE:Databases
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    • v.31 no.6
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    • pp.596-608
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    • 2004
  • A lot of work has been done to reduce disk access time in I/O intensive systems, which store and handle massive amount of data, by distributing data across multiple disks and accessing them in parallel. Most of the previous work has focused on an efficient mapping from a grid cell to a disk number on the assumption that data space is regular grid-like partitioned. Although we can achieve good performance for low-dimensional data by grid-like partitioning, its performance becomes degenerate as grows the dimension of data even with a good disk allocation scheme. This comes from the fact that they partition entire data space equally regardless of distribution ratio of data objects. Most of the data in high-dimensional space exist around the surface of space. For that reason, we propose a new declustering algorithm based on the partitioning scheme which partition data space from the surface. With an unbalanced partitioning scheme, several experimental results show that we can remarkably reduce the number of data blocks touched by a query as grows the dimension of data and a query size. In this paper, we propose disk allocation schemes based on the layout of the resultant data blocks after partitioning. To show the performance of the proposed algorithm, we have performed several experiments with different dimensional data and for a wide range of number of disks. Our proposed disk allocation method gives a performance within 10 additive disk accesses compared with strictly optimal allocation scheme. We compared our algorithm with Kronecker sequence based declustering algorithm, which is reported to be the best among the grid partition and mapping function based declustering algorithms. We can improve declustering performance up to 14 times as grows dimension of data.

Numerical Study on Characteristics of Gas Leakage in an Underground Combined Cycle Power Plant (지하 복합발전 플랜트 내부의 가스 누출 특성에 대한 수치해석 연구)

  • Bang, Joo Won;Sung, Kun Hyuk;Ryou, Hong Sun;Lee, Seong Hyuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.594-600
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    • 2016
  • The present study numerically investigated the gas leakage characteristics in a simplified underground combined cycle power plant. The effect of obstacles near a crack location on the gas concentration in the confined space was analyzed by using the lower flammable limit (LFL) of methane gas. When the jet flow was close to the vertical walls, the longitudinal leakage distance increased by about 60% (when an obstacles was present) compared to the case without any obstacle, because these obstacles prevented transverse flows. In addition, when an air filter was installed near to the trajectory of the gas flow, the longitudinal leakage distance was similar to the distance between the crack and obstacle, whereas the transverse leakage distance increased up to 8 times compared to the case without any obstacle. As the jet flow impacts on the obstacle and changes its direction, the gas flows recirculate. Therefore, it is necessary to consider the effect of the structure and facility locations on the trajectory of the jet flow to propose an accident prevention system in confined spaces.

Seasonal Onset and Duration in South Korea (우리나라 사계절 개시일과 지속기간)

  • Choi, Gwang-Yong;Kwon, Won-Tae;Robinson David A.
    • Journal of the Korean Geographical Society
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    • v.41 no.4 s.115
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    • pp.435-456
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    • 2006
  • This study examines the long-term spatial patterns and recent trends of seasonal onsets and durations defined by daily temperatures in South Korea for the period 1973-2004. Spatially, spring and winter onset dates show approximately 44 day and 63 day maximum difference respectively between south and north (Seongsanpo to Daegwallryeong) attributable to the impacts of latitudes and altitudes. In contrast, summer onset, which is more affected by proximity to oceans and altitudes than by latitudes, begins earlier in interior low elevated areas than in the coastal areas but earliest at higher latitudes than Jeiu Island. Five climatic types regarding the seasonal cycles in South Korea are spatially clustered according to the combination of longer seasonal durations. As a reflection of recent climate changes on seasonal cycles in South Korea, winter duration was shortened by 10 days during the post-1988 period due to a late winter onset of 4 days and an early spring onset of 6 days. The winter reduction began in the southern regions of the Korean Peninsula in the mid-1980s and spread northward during the 1990s period, ultimately appearing everywhere. In urbanized cities, where much of the surface is covered with asphalt or concrete, the winter reduction was intensified and summer duration was locally incremented. The reduced winter duration in recent decades shows significant teleconnections with variations of geopotential height (925hPa) in the eastern Arctic region ($0-90^{\circ}E$, $65-85^{\circ}N$) during the cold season. The reduction in winter duration in South Korea agrees with results in overall global warming trends as a climate change signal.

Application of InVEST Water Yield Model for Assessing Forest Water Provisioning Ecosystem Service (산림의 수자원 공급 생태계서비스 평가를 위한 InVEST Water Yield 모형의 적용)

  • Song, Chol-Ho;Lee, Woo-Kyun;Choi, Hyun-Ah;Jeon, Seong-Woo;Kim, Jae-Uk;Kim, Joon-Soon;Kim, Jung-Taek
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.1
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    • pp.120-134
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    • 2015
  • InVEST Water Yield model developed by Natural Capital Project was applied for South Korea to assess domestic forest ecosystem's water provisioning services. The InVEST Water Yield model required 8 input dataset, including six spatial map data and two derived by coefficients. By running the model with relatively easy acquired and modified data, the result of domestic forest ecosystem's water provisioning services was 9,409,622,083 ton using the standard of the year 2011. The result showed similar patterns and distribution of rainfall in 2011, but showed difference when compared with existing researches spatially driven in nationwide statistical analysis results. This difference is assumed to occur with different model mechanism in spatial implementation and statistical analysis. So given that the model is currently still developing, applications should be taken on qualitative perspectives rather than on quantitative perspectives. Additionally, for advancing the application of InVEST water yield model, quantification of suitable input data and comparison using multi-modeling is required.

Insects Diversity in Urban Green Space (도시 녹지공간의 곤충다양성)

  • Park, Seong-Joon;Lee, Min-Ho;Kim, Jae-Won;Hong, Yong-Sik;Kim, Do-Sung
    • Korean Journal of Environment and Ecology
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    • v.29 no.3
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    • pp.374-390
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    • 2015
  • This study aimed to identify the insect diversity and forest in urban green space, which can determine the current status of the ecosystem and provide basic data and information required for conservation planning and sustainable use of the environment. For this study, we have surveyed insect diversity by habitat types in the botanic garden of Wonkwang University, Iksan, from September, 2010 to September, 2011. During the research period, a total of 209 species, 78 families and 10 orders were observed, including 10 exportable species, 1 species of Korean Red List, 2 climate-sensitive indicator species and 70 designated species. Among these taxonomic groups, Coleoptera (36.36 %) showed the highest diversity with 76 species, followed by Hemiptera (25.36 %) with 46 species, Diptera (11.48 %) with 24 species and Hymenoptera (7.66 %) with 16 species. As for the diversity by survey time, the largest number of species were observed in September 2010 (52 families, 105 species), followed by May 2011 (37 families, 87 species), July 2011 (50 families, 86 species), June 2011 (40 families, 80 species) and August 2011 (43 families, 73 species). Relatively low diversity was observed in September 2011 (38 families, 60 species), October 2010 (36 families, 52 species) and April 2011 (19 families, 29 species). As for the diversity by survey point, the highest diversity was observed in S4 (75 families, 186 species, 88.99 %), followed by S1 (41 families, 70 species, 33.49 %), S2 (41 families, 63 species, 30.14 %), and S3 (36 families, 59 species, 28.22 %). According to the community analysis, the survey area S4 (H'=3.344, RI=9.257) showed the highest numbers in diversity index (H') and richness index (RI) of insects and S1 (0.985) showed the highest species evenness index (EI). On the other hand, S3 showed the lowest numbers (H'=2.428, RI=4.307, EI=0.832) in every index. The insect fauna is closely associated with the plants and vegetation structure in the green space. Therefore, it is necessary to manage and maintain the urban green space to make it similar to the natural environment.

Minimizing Estimation Errors of a Wind Velocity Forecasting Technique That Functions as an Early Warning System in the Agricultural Sector (농업기상재해 조기경보시스템의 풍속 예측 기법 개선 연구)

  • Kim, Soo-ock;Park, Joo-Hyeon;Hwang, Kyu-Hong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.2
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    • pp.63-77
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    • 2022
  • Our aim was to reduce estimation errors of a wind velocity model used as an early warning system for weather risk management in the agricultural sector. The Rural Development Administration (RDA) agricultural weather observation network's wind velocity data and its corresponding estimated data from January to December 2020 were used to calculate linear regression equations (Y = aX + b). In each linear regression, the wind estimation error at 87 points and eight time slots per day (00:00, 03:00, 06:00, 09.00, 12.00, 15.00, 18.00, and 21:00) is the dependent variable (Y), while the estimated wind velocity is the independent variable (X). When the correlation coefficient exceeded 0.5, the regression equation was used as the wind velocity correction equation. In contrast, when the correlation coefficient was less than 0.5, the mean error (ME) at the corresponding points and time slots was substituted as the correction value instead of the regression equation. To enable the use of wind velocity model at a national scale, a distribution map with a grid resolution of 250 m was created. This objective was achieved b y performing a spatial interpolation with an inverse distance weighted (IDW) technique using the regression coefficients (a and b), the correlation coefficient (R), and the ME values for the 87 points and eight time slots. Interpolated grid values for 13 weather observation points in rural areas were then extracted. The wind velocity estimation errors for 13 points from January to December 2019 were corrected and compared with the system's values. After correction, the mean ME of the wind velocities reduced from 0.68 m/s to 0.45 m/s, while the mean RMSE reduced from 1.30 m/s to 1.05 m/s. In conclusion, the system's wind velocities were overestimated across all time slots; however, after the correction model was applied, the overestimation reduced in all time slots, except for 15:00. The ME and RMSE improved b y 33% and 19.2%, respectively. In our system, the warning for wind damage risk to crops is driven by the daily maximum wind speed derived from the daily mean wind speed obtained eight times per day. This approach is expected to reduce false alarms within the context of strong wind risk, by reducing the overestimation of wind velocities.

THREE DIMENSIONAL FINITE ELEMENT ANALYSIS FOR REACTION TO MOLAR UPRIGHTING SPRING (대구치 직립 스프링 적용시 반작용에 관한 삼차원 유한요소법적 연구)

  • Choe, Yoo-Kyung;Kim, Tae-Woo;Suhr, Cheong-Hoon
    • The korean journal of orthodontics
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    • v.28 no.1 s.66
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    • pp.61-74
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    • 1998
  • The Purpose of this study was to investigate the stress distribution and tooth displacement at the initial phase produced by 5 types of molar uprighting springs using finite element method. The three dimensional finite element model of lower dentition, bone and springs was composed of 5083 elements and 2071 nodes. The results were as follows: 1. In case of helical spring and root spring, intrusion of lower canine and first premolar were observed md distal tipping, translation and extrusion of lower second molar were observed. 2. In case of T-loop, modified T-loop and box loop, intrusion and distal translation of lower second premolar were observed, and the largest crown distal tipping and translation of lower second molar were observed in T-loop and the smallest were observed in box loop. 3. In case of T-loop with cinch-bact crown distal tipping and translation of lower second molar were decreased, but extrusion was also decreased. 4. With increase of activation in T-loop, mesial translation and won distal tipping of lower second molar were increased and edentulous space was closing, but distal translation of second premolar was also increased. 5. With increase of tip-back bend in T--loop, distal tipping and translation of lower second molar were increased, but extrusion was also increased more largely.

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Vulnerability Assessment of the Air Pollution Using Entropy Weights : Focused on Ozone (엔트로피 가중치를 활용한 대기오염 취약성 평가 - 오존을 중심으로 -)

  • Lee, Sang-hyeok;Kang, Jung Eun;Bae, Hyun Joo;Yoon, Dong Keun
    • Journal of the Korean association of regional geographers
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    • v.21 no.4
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    • pp.751-763
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    • 2015
  • Both the selection of indicators and weights for them are critical issues in the vulnerability assessment. This study is to assess the air pollution vulnerability focused on ozone for 249 local jurisdictions using weights calculated by the entropy methodology and then examine the applicability of the methodology. We selected indicators for air pollution vulnerability assessment and standardized them. Subsequently, we calculated weights of each indicator using the entropy method and then integrated them into the vulnerability index. The exposure indicators consider meteorological and air pollution factors and the sensitivity of the local jurisdiction include variables on vulnerable areas and environments. The adaptive capacity contains socio-economic characteristics, health care capacities and air pollution managemental factors. The results show that Hwaseong-si, Gwangjin-gu, Gimpo-si, Gwangju-si, Gunpo-si are among the highest vulnerabilities based on the simple aggregation of indicators. And vulnerability-resilience (VRI) aggregation results indicates the similar spatial pattern with the simple aggregation outcomes. This article extends current climate change vulnerability assessment studies by adopting the entropy method to evaluate relative usefulness of data. In addition, the results can be used for developing customized adaptation policies for each jurisdiction reflecting vulnerable aspects.

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