• Title/Summary/Keyword: Geographic locations

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A Study on the Geometric Form of the Preliminary Plan "hanyang" in Early Chosun Dynasty (초기 한양도성계획의 도형적 해석에 관한 연구)

  • 정기호;김용기
    • Journal of the Korean Institute of Landscape Architecture
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    • v.22 no.4
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    • pp.119-132
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    • 1995
  • This study shows the characteristics of the early phenomena of the city plan Hanyang (old city Seoul). It consists of two steps. One is to search for the constructing principles of the geometric setting. And the other is to inquire and interpret the objects of beginning and ending points of that setting. The results based on geographic analysis and historical facts are as follows: 1) The city plan Hanyang shows a certain hierarchy:the major axis and the locations of the palace and the city set up in the prority. This priority made onto lower hierarchical plans such as the site plans of palaces and city wall. For example of the significant objects are Namdaemum (South Gate of the city wall) and Kwanghwamun (South Gate of the Palace). They are on the main axis, and became the basic points of the detailed city plans. 2) The palace palace on its major axis, right-angled minor axis, and 4 grade inclination to north. The four small city wall gates located on the base of four greater gates. 3) The geometric characteristics as constructing principle found on certain hierarchical order. Thus, the natural elements as mountains, had an important effect on the arrangement of major facilities and those main constructions made on lower - hierarchical settings. 4) These facts related closely to the philosophy of Jung, Do-Jon, the initiative planer of the Hanyang.

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Characterization of the Microbial Diversity in a Korean Solar Saltern by 16S rRNA Gene Analysis

  • Park, Soo-Je;Kang, Cheol-Hee;Rhee, Sung-Keun
    • Journal of Microbiology and Biotechnology
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    • v.16 no.10
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    • pp.1640-1645
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    • 2006
  • We studied the diversity of the halophilic archaea and bacteria in crystallizer ponds of a Korean solar saltern by analyzing 16S rRNA gene libraries. Although diverse halophilic archaeal lineages were detected, the majority (56%) were affiliated with the uncultured and cultured Halorubrum group. Halophilic archaea that have been frequently observed in solar saltern environments previously, such as Halogeometricum, Halococcus, Haloarcula, and Haloferax, were not detected in our samples. The majority of clones (53%) belonged to the Cytophaga-Flavobacterium-Bacteroides and ${\alpha}-,\;{\gamma}-,\;and\;{\delta}-Proteobacteria$ groups, with 47% of the clones being affiliated with ${\gamma}-Proteobacteria$. We also identified new ${\delta}-Proteobacteria$-related bacteria that have not been observed in hypersaline environments previously. Our data show that the diversity of the halophilic archaea and bacteria in our Korean saltern differs from that of solar salterns found in other geographic locations. We also showed by quantitative real-time PCR analysis that bacteria can form a significant component of the microbial community in solar salterns.

Genetic Diversity and Metabolite Analysis of Gastrodia elata by Inter-Simple Sequence Repeats (ISSR) Markers (ISSR 표지에 의한 천마의 유전 다양성분석 및 기능성 물질분석)

  • Kim, Hyun Tae;Kim, Ji Ah;Park, Eung Jun
    • Korean Journal of Medicinal Crop Science
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    • v.20 no.6
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    • pp.440-446
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    • 2012
  • Gastrodia elata, an achlorophyllous orchid plant, is rare medicinal plant. We investigated the genetic diversity in G. elata from 4 locations by using Inter-Simple Sequence Repeats (ISSR) markers. Shannon's information Index (S.I.) indicating genetic diversity ranged from 0.255 (Pocheon) to 0.322 (Muju) with the mean of 0.29. The level of genetic diversity was lower than other plant and most genetic diversity was allocated among individuals within populations (26.81%). The UPGMA dendrogram based on genetic distance failed in showing decisive geographic relationship. In the case of gastrodin (GA), the major components in G. elata, Sangju was highest. The ergothionine (ERG) was detected a lot of contents in Muju and Pocheon. In conclusion, our results is very important information for explaining relationship of genetic variation and functional substances without the effects of environment factors and developing genetic marker by ISSR in G. elata, which may be responsible for the development of breeds with a lot of functional substance in G. elata.

GIS AND WEB-BASED DSS FOR PRELIMINARY TMDL DEVELOPMENT

  • Choi, Jin-Yong;Bernard A. Engel;Yoon, Kwang-Sik
    • Water Engineering Research
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    • v.4 no.1
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    • pp.19-30
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    • 2003
  • TMDL development and implementation have great potential fur use in efforts to improve water quality management, but the TMDL approach still has several difficulties to overcome in terms of cost, time requirements, and suitable methodologies. A well-defined prioritization approach for identifying watersheds of concern among several tar-get locations that would benefit from TMDL development and implementation, based on a simple screening approach, could be a major step in solving some of these difficulties. Therefore, a web-based decision support system (DSS) was developed to help identify areas within watersheds that might be priority areas for TMDL development. The DSS includes a graphical user interface based on the HTML protocol, hydrological models, databases, and geographic information system (GIS) capabilities. The DSS has a hydrological model that can estimate non-point source pollution loading based on over 30 years of daily direct runoff using the curve number method and pollutant event mean concentration data. The DSS provides comprehensive output analysis tools using charts and tables, and also provides probability analysis and best management practice cost estimation. In conclusion, the DSS is a simple, affordable tool for the preliminary study of TMDL development via the Internet, and the DSS web site can also be used as an information web server for education related to TMDL.

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Modeling of Roads for Vehicle Simulator Using GIS Map Data

  • Im Hyung-Eun;Sung Won-Suk;Hwang Won-Gul;Ichiro Kageyama
    • International Journal of Precision Engineering and Manufacturing
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    • v.6 no.4
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    • pp.3-7
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    • 2005
  • Recently, vehicle simulators are widely used to evaluate driver s responses and driver assistance systems. It needs much effort to construct the virtual driving environment for a vehicle simulator. In this study, it is described how to make effectively the roads and the driving environment for a vehicle simulator. GIS (Geographic Information System) is used to construct the roads and the environment effectively. Because the GIS is the integrated system of geographical data, it contains useful data to make virtual driving environment. First, boundaries and centerlines of roads are extracted from the GIS. From boundaries, the road width is calculated. Using centerlines, mesh models of roads are constructed. The final graphic model of roads is constructed by mapping road images to those mesh models considering the number of lanes and the kind of surface. Data of buildings from the GIS are extracted. Each shape and height of building is determined considering the kind of building to construct the final graphic model of buildings. Then, the graphic model of roadside trees is constructed to decide their locations. Finally, the driving environment for driving simulator is constructed by converting the three graphic models with the graphic format of Direct-X and by joining the three graphic models.

A Comparative Study of Algorithms for Estimating Land Surface Temperature from MODIS Data

  • Suh, Myoung-Seok;Kim, So-Hee;Kang, Jeon-Ho
    • Korean Journal of Remote Sensing
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    • v.24 no.1
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    • pp.65-78
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    • 2008
  • This study compares the relative accuracy and consistency of four split-window land surface temperature (LST) algorithms (Becker and Li, Kerr et ai., Price, Ulivieri et al.) using 24 sets of Terra (Aqua)/Moderate Resolution Imaging Spectroradiometer (MODIS) data, observed ground grass temperature and air temperature over South Korea. The effective spectral emissivities of two thermal infrared bands have been retrieved by vegetation coverage method using the normalized difference vegetation index. The intercomparison results among the four LST algorithms show that the three algorithms (Becker-Li, Price, and Ulivieri et al.) show very similar performances. The LST estimated by the Becker and Li's algorithm is the highest, whereas that by the Kerr et al.'s algorithm is the lowest without regard to the geographic locations and seasons. The performance of four LST algorithms is significantly better during cold season (night) than warm season (day). And the LST derived from Terra/MODIS is closer to the observed LST than that of Aqua/MODIS. In general, the performances of Becker-Li and Ulivieri et al algorithms are systematically better than the others without regard to the day/night, seasons, and satellites. And the root mean square error and bias of Ulivieri et al. algorithm are consistently less than that of Becker-Li for the four seasons.

Shallow landslide susceptibility mapping using TRIGRS

  • Viet, Tran The;Lee, Giha;An, Hyun Uk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.214-214
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    • 2015
  • Rainfall induced landslides is one of the most devastating natural disasters acting on mountainous areas. In Korea, landslide damage areas increase significantly from 1990s to 2000s due to the increase of both rainfall intensity and rainy days in addition with haphazard land development. This study was carried out based on the application of TRIGRS unsaturated (Transient Rainfall Infiltration and Grid-based Regional Slope stability analysis), a Fortran coded, physically based, and numerical model that can predict landslides for areas where are prone to shallow precipitation. Using TRIGRS combining with the geographic information system (GIS) framework, the landslide incident happened on 27th, July 2011 in Mt. Umyeon in Seoul was modeled. The predicted results which were raster maps showed values of the factors of safety on every pixel at different time steps show a strong agreement with to the observed actual landslide scars in both time and locations. Although some limitations of the program are still needed to be further improved, some soil data as well as landslide information are lack; TRIGRS is proved to be a powerful tool for shallow landslide susceptibility zonation especially in great areas where the input geotechnical and hydraulic data for simulation is not fully available.

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Distribution of Indicator Plant of Climate Change in Major Islands of the Korean Peninsula (한반도 주요 도서 지역의 기후변화 지표 식물 분포)

  • Kim, Hyun Hee;Mizuno, Kazuharu;Lee, Ho Sang;Koo, Jae Gyun;Kong, Woo Seok
    • Journal of Environmental Science International
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    • v.30 no.1
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    • pp.29-43
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    • 2021
  • This study analyzed the status of climate-change indicator plants native to the main islands of the Korean peninsula, while elucidating their distribution characteristics. Information on flora from over 129 island locations, comprising more than 100 species of native plants, was collected, compiled into a database, and utilized as raw data. The distribution of 193 climate-change indicator plants was confirmed. The distribution area of broadleaf evergreen trees and ferns, including Mallotus japonicus and Cyrtomium falcatum, was relatively wide. In contrast, the distribution of common northern plants such as Corydalis turtschaninovii and Malus baccata was limited. If global warming persists, northern plant distribution is expected to decrease rapidly in the Korean Peninsula island region, while the northern limit line of the southern plants is expected to migrate further northward. During this process, it is likely that the plant congregation structure and species diversity within the island region will change dynamically. In this study, comparative analyses between species and regions were conducted by assessing the relative frequency of their occurrence, and six types of botanical geographic distribution patterns were noted.

Machine Learning based Optimal Location Modeling for Children's Smart Pedestrian Crosswalk: A Case Study of Changwon-si (머신러닝을 활용한 어린이 스마트 횡단보도 최적입지 선정 - 창원시 사례를 중심으로 -)

  • Lee, Suhyeon;Suh, Youngwon;Kim, Sein;Lee, Jaekyung;Yun, Wonjoo
    • Journal of KIBIM
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    • v.12 no.2
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    • pp.1-11
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    • 2022
  • Road traffic accidents (RTAs) are the leading cause of accidental death among children. RTA reduction is becoming an increasingly important social issue among children. Municipalities aim to resolve this issue by introducing "Smart Pedestrian Crosswalks" that help prevent traffic accidents near children's facilities. Nonetheless such facilities tend to be installed in relatively limited number of areas, such as the school zone. In order for budget allocation to be efficient and policy effects maximized, optimal location selection based on machine learning is needed. In this paper, we employ machine learning models to select the optimal locations for smart pedestrian crosswalks to reduce the RTAs of children. This study develops an optimal location index using variable importance measures. By using k-means clustering method, the authors classified the crosswalks into three types after the optimal location selection. This study has broadened the scope of research in relation to smart crosswalks and traffic safety. Also, the study serves as a unique contribution by integrating policy design decisions based on public and open data.

Genetic diversity of the threatened Saussurea dorogostaiskii (Asteraceae) in the Khuvsgul region of Mongolia

  • Nudkhuu NYAMGEREL;Shukherdorj BAASANMUNKH;Batlai OYUNTSETSEG;Dashzeveg OYUNTSETSEG;Joscelyn NORRIS;Hyeok Jae CHOI;Gun-Aajav BAYARMAA
    • Korean Journal of Plant Taxonomy
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    • v.53 no.1
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    • pp.14-24
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    • 2023
  • Saussurea dorogostaiskii Palib. (Asteraceae) is a critically endangered medicinal plant in Mongolia and Russia. We studied the genetic variation of S. dorogostaiskii from three mountains of northern Mongolia. The genetic profile was assessed in 70 individuals from eight populations using five inter-simple sequence repeat markers, producing 53 loci with 96.4% polymorphism across all bands. Shannon's index (I) and Nei's gene diversity (H) value at the species level of S. dorogostaiskii are 0.25 and 0.17, respectively. An AMOVA showed high genetic variation among the populations (22% of populations and 32% of mountains), consistent with the high genetic differentiation (GST = 0.49) and low gene flow (Nm = 0.51) in S. dorogostaiskii populations. Eight populations were clustered into two groups, corresponding to their geographic locations. The low within-population genetic diversity and high genetic differentiation among S. dorogostaiskii populations factor into their endangered designation. This genetic analysis reveals that all populations are equally threatened, and community-based conservation is appropriate for these species.