• Korean Journal of Environmental Biology
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• v.21 no.3
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• pp.223-233
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• 2003

This paper introduces a study on the development of environment assessment technique and biodiversity management system for stream ecosystems and their application to Korean streams. Based on comprehensive field investigations from a series of streams of Bukhangang (North Han River) system as well as on long-term field survey and bibliographic data from streams throughout South Korea, schemes for environmental and biodiversity research of stream ecosystems aye reviewed; types of major environmental damages in Korean streams are classified; a rapid assessment technique for nature quality of stream ecosystems is presented; and a list of environmental and biotic factors for the use of GIS-based biodiversity management system in stream ecosystems is provided. The biodiveysity management system, which is based on ArcView and GEUS programs, is applied to Gapyeong Creek, a typical mid-size stream in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4572-4579
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• 2013

South Korea people and government pour growing interest on emergency evacuation shelters due to recent threatening of North Korea provocation. However, survey says the border area suffers lack of 278 shelters compared to population, needless to say the lack of class-2 shelter in case of provocation. Firstly, this study visualized the evacuation buffer area and summarized acceptable population for all class (1~4) shelters in Cheoan neighbor(dong). Specifically, for the class-2 shelter coverage in old downtown neighbor (Sungjung-dong, Jungang-dong, Munsung-dong), this study calculated evacuation excluded population and deficient shelter area through GIS buffer analysis. As a result, the old downtown needs $25,546m^2$ shelter area more that can accommodate 56%(30,657man) of the population.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.1
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• pp.28-34
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• 2011

This study was carried out to estimate monthly mean of daily maximum and minimum temperature across North Korea at a 30 m grid spacing for a climatological normal year (1971-2000) and the 4 decadal averages (1971-1980, 1981-1990, 1991-2000, and 2001-2010). A geospatial climate interpolation method, which has been successfully used to produce the so-called 'High-Definition Digital Climate Maps' (HD-DCM), was used in conjunction with the 27 North Korean and 17 South Korean synoptic data. Correction modules including local effects of cold air drainage, thermal belt, ocean, solar irradiance and urban heat island were applied to adjust the synoptic temperature data in addition to the lapse rate correction. According to the final temperature estimates for a normal year, North Korean winter is expected colder than South Korean winter by $7^{\circ}C$ in average, while the spatial mean summer temperature is lower by $3^{\circ}C$ than that for South Korea. Warming trend in North Korea for the recent 40 years (1971-2010) was most remarkable in spring and fall, showing a 7.4% increase in the land area with 15 or higher daily maximum temperature for April.

• Spatial Information Research
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• v.16 no.4
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• pp.489-497
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• 2008

Currently, GIS has been widely used in the hedonic analyses of urban apartment housing markets in Korea. In those analyses, the apartment complexes are typically represented as the points or the polygons on the GIS maps and the location variables of the analyses are measured based on the points or the polygons. In this study, the relative performance of the point based approach and the polygon based approach in a GIS based hedonic analysis was compared using the apartment housing market data from the north eastern part of the city of Seoul and Davidson and MacKinnon Test. The results from this study indicate two things. First, two approaches can produce substantially different results in a hedonic price model estimation. Second, the polygon based approach produces a hedonic price model which explains the price variations better than the point based approach. These findings suggest that Korean researchers who are interested in improving quality of hedonic price model estimations and use GIS to measure the location variables for hedonic price models should consider using the polygon based approach with the point based approach. This is because the polygon based approach can produce the location variables with the shortest straight line distances and can explain the housing price variations well.

• The Journal of Industrial Distribution & Business
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• v.9 no.8
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• pp.27-34
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• 2018

Purpose - This paper discussed and illustrated the most efficient method to calculate the distribution centers for a national project in China. Through demonstration of implementing the GIS, spatial analysis, and location calculation model, this paper mainly dealt with the construction distribution problem and inconvenient supply of materials problems. Research design, data, and methodology - In this paper, the research design structure based on three steps: implementing the Geographic Information System to locate the points coordination data, calculating the distribution centers of the project, and optimizing the most efficient and effective coordination. The data of the calculation is from an actual project. The methodology of this paper is summarizing the spatial analysis capabilities and digital graphic data calculation to locate logistics distribution centers, and since the illustration of the calculation is useful for locating the coordination, the result of this paper has certain reference values for the project construction. Results - This paper illustrates the steel and cement resource of every distribution point to confirm the most efficient distribution center location coordination. Conclusions - The integrated logistical management models are used to ensure the results for the purposes of our calculation. The result of the calculation is also a useful example for future Chinese national projects.

• Journal of the Korean GEO-environmental Society
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• v.15 no.12
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• pp.79-85
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• 2014

To analyze the landslide susceptibility in Baekdu mountain area in china, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System) method in this paper. To assess the landslide susceptibility, five factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, and land use. The weight value and rating value of each factor were calculated by the two different methods of AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network). Then, the weight and rating value was used to obtain the susceptibility maps. Finally, the susceptibility map shows that the very dangerous areas (0.9 or higher) were mainly distributed in the mountainous areas around JiAnShi, LinJiangShi, and HeLongShi near the china-north Korea border and in the mountainous area between the WangQingXian and AnTuXian. From the contrast two susceptibility map, we also Knew that The accuracy of landslide susceptibility map drew by ANN method was better than AHP method.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.209-225
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• 2017

This study examines the effect of residential and neighboring environment on the residents' social exclusion in Daejeon Chokbangchon, the city's slum area. Based on GIS methodology with residents' addresses and other characteristics, this study finds out the feminization and the ageing trends in the central part of this area. Besides, longitudinal data between 2007 to 2016 shows this area's depopulation resulting in people's spread into other parts of the city. This study took pictures of 252 images of in the streets and indoors, analysed them and defined the problems of residential and neighboring environment. According to this picture analysis, the predicaments of this area was categorized into 4 types such as appearance-hygiene, narrowness-lack of residential functions, safety-privacy violation and stigma. This area ranging 1 km from north to south adjacent with Daejeon railway station was divided into 4 sections with different main problems. The follow-up survey for residents living in each section showed each section was different in work state, neighbor satisfaction, stigma and social exclusion. Finally, residential satisfaction was found to be the most important affecting factor on social exclusion. Based on these results, this study suggests government's housing policy on this area to be more enthusiastic and specific to cope with each problems of sections.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.15-25
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• 2017

In recent years, polar research has been focused on climate change, natural resources, and development of a new North Pole Route. Since 2010, the Korea Polar Research Institute has been collecting various in situ data from the Arctic/Antarctic oceans using ARAON, which is the first effort of Korea toward leading global polar research. As a part of these activities, a web-based GIS service was developed to collect in situ data and to standardize data formats. Visualizations of in situ measurements and thematic maps were also developed to improve both the quantitative and qualitative quality of polar ocean research, and to increase accessibility of polar oceanographic data. This system will ultimately share all of the data acquired from the Arctic/Antarctic oceans with international research groups.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.236-256
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• 2011

Forest carbon stocks change due to land use change is an important data required by UNFCCC(United Nations framework convention on climate change). Spatially explicit estimation of forest carbon stocks based on IPCC GPG(intergovernmental panel on climate change good practice guidance) tier 3 gives high reliability. But a current estimation which was aggregated from NFI data doesn't have detail forest carbon stocks by polygon or cell. In order to improve an estimation remote sensing and GIS have been used especially in Europe and North America. We divided research trends in main countries into 4 categories such as remote sensing, GIS, geostatistics and environmental modeling considering spatial heterogeneity. The easiest way to apply is combination NFI data with forest type map based on GIS. Considering especially complicated forest structure of Korea, geostatistics is useful to estimate local variation of forest carbon. In addition, fine scale image is good for verification of forest carbon stocks and determination of CDM site. Related domestic researches are still on initial status and forest carbon stocks are mainly estimated using k-nearest neighbor(k-NN). In order to select suitable method for forest in Korea, an applicability of diverse spatial data and algorithm must be considered. Also the comparison between methods is required.

• Journal of Wind Energy
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• v.9 no.4
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• pp.40-46
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• 2018

In this study, a three-dimensional Navier-Stokes simulation around Wido Island was performed to analyze the wake effect behind an island. A 10 m/s wind speed and pressure boundary conditions were assigned for the inflow and outflow boundary conditions, respectively. Wido Island was modeled using GIS data. A prevailing wind from the north-northwest direction was determined based on QuikSCAT satellite data. A computational domain of $40km{\times}20km{\times}5km$ covering Wido Island was applied for numerical analysis. Sixty points were specified to extract the wind speed data. A wind speed profile inside the atmospheric boundary layer was compared with a wind profile using a simple power law. It turns out that the wake effect decreases the mean wind speed by 5% more or less, which corresponds to a 14% decrease in wind energy. Thus, the installation of a meteorological mast or development of a wind farm behind Wido Island is not highly recommended.