• 환경영향평가
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• 제8권3호
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• pp.1-11
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• 1999

This study was carried out to evaluate urban environmental structure in Taegu metropolitan region(TMR) with factor analysis, fuzzy set theory, geostatistic and geographic information system(GIS). The factor analysis could choose the representative one out of multiple variables and simplify the evaluation of the urban environmental structure. The fuzzy approach is an attempt to model an aspect of human thinking previously neglected; it starts from the premise that humans don't represent classes of objects as fully disjoint but rather as sets where transitions from membership to non-membership is gradual. The Geographic Information System(GIS) could connect attributes of factor scores derived from factor analysis to digital map by a method so called 'Spatial join'. The results obtained were as follows: Urbanization appearance was concentrated in the large cities, and this appearance was partial extremely, therefore, there has been a structural gap between urban area and agricultural area which was unified into the urban area. All inclinations didn't become worse after sudden urbanization. For example, suburban agriculture was developed as a large scale in the region near the large cities. Then it encouraged farmers in changing their old cultivating methods to the latest ones. But many districts in urban fringe had symptom of urbanization, the districts which were located between large cities have been developed gradually because of urban sprawl, and played a role in connecting each city. Therefore, due to the urbanization, forestry area and agricultural land, well conserved in the agricultural town, could be easily destroyed. In a different way with the urbanization of the Seoul metropolitan region, that of TMR was centralized upon the center of each city, and it was also very partial. But, because so many regions have the potentiality of urbanization, hereafter, the urbanization process in each region is likely to be different multifariously according to the urban management methods.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 1996년도 춘계학술대회 발표요약문
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• pp.135-137
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• 1996

• 대한공간정보학회지
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• 제5권1호
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• pp.93-101
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• 1997

본 논문은 위성영상 자료를 이용하여 RS(Remote Sensing)의 이미지 처리기술과 GIS(Geographic Information System)의 지도대수에 의한 공간분석 기법으로 계획가를 위한 환경보전적 계획을 수립할 수 있는 방안의 연구에 목표를 두었다. 연구는 다음 두 가지 방향에서 진행되었는 바, 첫째 대상지역의 공간구조에 바탕을 두고 환경보전적 요소 및 법적 제한요소를 적용하여 용도지역을 배정하고, 둘째 계획과정속에 분석된 환경영향을 포함시켜 분석범위를 확대시킴으로써, 보다 지속가능한 계획을 수립하게 하는 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.562-563
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• 2004

Environmental management system has been constructed using by marine GIS, which is applied latest scientific algorithm, and fisheries related data for the citizens of the Jinhae Bay and executive officers. Through this system, we will get more easily marine environmental data, and production features of aquaculture farming areas.

• 한국지리정보학회지
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• 제3권1호
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• pp.12-22
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• 2000

최근 낙동강 유역권의 급격한 도시화 및 산업화로 인해 광역적인 환경문제를 초래하고 있는데, 이러한 관점에서 대규모의 공업단지조성 및 택지개발이 이루어진 낙동강 중 상류지역을 대상으로 유역환경에 영향을 미치는 변수를 선정한 후, 지리정보시스템과 다변량통계기법을 이용하여 공간 및 환경적 특성을 규명하고자 하였다. 유역환경변수에 의한 인자분석 결과, '도시적 오염인자', '농업적 오염인자', '공업적 오염인자'로 명명된 3개의 공통인자가 추출되었다. 공간적 분포패턴은 인자분석에 의해서 추출된 인자점수를 지리정보시스템을 이용하여 공간자료와 연계시킴으로써 그 특성을 효과적으로 규명할 수 있었다. 분석결과를 요약하면, 낙동강 수계에 직 간접적으로 영향을 미치는 오염원이 낙동강 본류와 주요 지류인 금호강 유역권에 집중적으로 분포하고 있어, 향후 낙동강 하류지역의 환경용량을 고려한 광역적인 관점에서의 유역환경관리가 이루어져야 할 것으로 판단된다.

• 대한원격탐사학회지
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• 제3권2호
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• pp.103-113
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• 1987

The two key elements of the Geographic Information System(GIS) are (1) Data base management of land resources information as computer files, and (2) Software ability to analyze and map this information. More geometrically corrected SPOT derived land cover information and digital topographic infornation from digitial elevation model (DEM) were integrated as input data of GIS in order to create landscape modelling. The ultimate goal of this GIS is to establish the use of physiographic data as an intergral part of the comprehensive planning process in order to avoid significant environmental and economic problems.

• 한국환경보건학회지
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• 제48권6호
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• pp.298-305
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• 2022

Background: The concentration of air pollutants as measured by the Air Quality Monitoring System (AQMS) is not an accurate population exposure level since actual human activities and temporal and spatial variability need to be considered. Therefore, to increase the accuracy of exposure assessment, the population should be considered. However, it is difficult to obtain population data due to limitations such as personal information. Objectives: The existing population defined in this study is the number of people in each region's grid. The purpose is to provide a methodology for evaluating exposure to PM_2.5 through existing population data provided by the National Geographic Information Institute. Methods: The selected study period was from October 26 to October 28, 2021. Using PM_2.5 concentration data measured at the Sensor-based Air Monitoring Station (SAMS) installed in Guro-gu and Wonju-si, the concentration for each grid was estimated by applying inverse distance weights through QGIS version 3.22. Considering the existing population, population-weighted average concentration (PWAC) was calculated and the exposure level of the population was compared by region. Results: The outdoor PM_2.5 concentration as measured through the SAMS was high in Wonju-si on all three days. Wonju-si showed an average 22% higher PWAC than Guro-gu. As a result of comparing the PWAC and outdoor PM_2.5 concentration by region, the PWAC in Guro-gu was 1~2% higher than the observed value, but it was almost the same. Conversely, observations of Wonju-si were 10.1%, 11.3%, and 8.2% higher than PWAC. Conclusions: It is expected that the Geographic Information System (GIS) method and the existing population will be used to evaluate the exposure level of a population with a narrow activity radius in further research. In addition, based on this study, it is judged that research on exposure to environmental pollutants and risk assessment methods should be expanded.

• 환경영향평가
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• 제5권1호
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• pp.61-67
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• 1996

환경영향평가는 1981년 환경영향평가서가 작성된 이후로 환경보전과 의사결정용 위한 수단으로 발전해 왔다. 환경영향평가 과정을 효과적으로 실행하기 위하여 환경영향평가 제도개선과 기법개발을 하고 있으며, 최근에는 도면자료와 속성자료를 효과적으로 통합할 수 있는 지리정보체계가 도입되었다. 그리고 지리정보체계의 환경영향평가 과정에 적용을 위한 필요성이 점차적으로 증가하고 있다. 이 연구는 폐기물매립지에서 $NH_3$ 악취물질의 예측과 평가에 대하여 지리정보체계와 대기확산모델의 통합방법을 제시하는 데 있다. 첫째로 수치고도모델을 이용하여 각 그리드별 고도를 추출하고 둘째, 이 고도자료와 기후, 오염원 자료를 확산모델에 입력하고 셋째, 통 리별 인구를 포함한 행정구역도와 악취예측자료의 중첩분석 방법을 제시한다. 이 결과들은 주거지역에 대한 영향평가와 영향지역을 체계적으로 분석한 수 있고, 이러한 체계적인 분석은 사업자와 주민의 환경분쟁의 협상시 지원될 수 있다.

• 한국지리정보학회지
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• 제8권4호
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• pp.165-175
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• 2005

지리정보시스템(GIS)은 정보관리나 공간분석을 통해서 문화유적의 보존과 국토이용을 위한 목적에 유용하게 사용될 수 있다. 본 연구의 목적은 지리정보시스템을 이용하여 전국적으로 분포하는 요지유적의 위치를 입력하고, 입지특성을 분석하여, 분포지역을 예측하는데 있다. 이를 위하여 전국의 약 1,200개소 요지유적의 위치를 입력하였고, 각 위치별 입지분석(고도, 사변의 경사, 사변방향, 수계) 및 통계분석을 통해 요지의 입지특성을 해석하였다. 요지유적 분포는 1에서 5까지 등급화된 고도분포, 사변경사, 수계비고, 수계거리, 사변방향의 5개 변수에 대한 중첩분석결과에 의하여 결정되었다. 대전광역시 성북동 일대에 분포하는 요지유적을 대상으로 분포를 예측한 결과 조사지역의 산능선 하부와 충적평야에 이르는 중간지역에서 요지유적 분포 가능성이 높게 나타났으며, 야외에서 확인된 요지유적의 분포와도 일치하였다. 본 시범연구 결과 전국적으로 더 많은 요지분포 자료가 확보된다면 요지분포가 확인되지 않은 지역에 대한 분포 예측력이 보다 향상될 것으로 기대된다.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제3권3호
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• pp.151-158
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• 1999

Biogenic source emissions refer to naturally occuring emissions from vegetation, microbial activities in soil, lightening, and so on. Vegetation is especially known to emit a considerable amout of volatile organic compounds into the atmosphere. Therefore, biogenic source emissions are an important input to photochemical air quality models. since most biogenic source emissions are calculated at the county-level, they should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation for biogenic source emissions has been to use a "spatial surrogate indicator" such as a county area. In order to examine the applicability of such approximations, this study developed more detailed surrogate indicators to improve the spatial allocation method for biogenic source emissions. Due to the spatially variable nature of biogenic source emissions, Geographic Information Systems(GIS) were introduced as new tools to develop more detailed spatial surrogate indicators. Use of these newly developed spatial surrogate indicators for biogenic source emission allocation provides a better resolution than the standard spatial surrogate indicator.indicator.