• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.217-229
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• 2020

Recently, weather changes in Korea have intensified due to global warming, and the five major natural disasters that occur mostly include heavy rains, typhoons, storms, heavy snow, and earthquakes. Busan is vulnerable to snow disaster, given that the amount of natural disaster damage in Busan accounts for more than 50% of the total amount in the entire metropolitan cities in Korea, and that the Busan area includes many hilly mountains. In this study, we attempted to identify vulnerable areas for snowfall disasters in Busan areas using the geographic information system (GIS) with the data for both geographical and anthropogenic characteristics. We produced the maps of vulnerable areas for evaluating factors that include altitude, slope, land cover, road networks, and demographics, and overlapped those maps to rank the vulnerability to snowfall disasters as the 5th levels finally. To weight each evaluating factor, we used an entropy method. The riskiest areas are characterized by being located in mountainous areas with roads, including Sansung-ro in Geumjeong-gu, Mandeok tunnel in Buk-gu, Hwangnyeongsan-ro in Suyeong-gu, and others, where road restrictions were actually enforced due to snowfall events in the past. This method is simple and easy to be updated, and thus we think this methodology can be adapted to identify vulnerable areas for other environmental disasters.

• Journal of Digital Contents Society
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• v.13 no.1
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• pp.31-36
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• 2012

Since the national standard topographic map is made by DXF format which is the results of the National Geographic Information System project and lots of CAD data and scanners can be used to acquire the data easily, the imports of existing DXF file will decrease the costs and time for data acquisition process. In addition, the spatial data such as topographic map should be able to convert to the middle file format such as PostScript in order to be exported into other systems. For this purpose, I design and implement three units of modules, which are File Manipulation Module, MVF Import Module, and MVF Export Module. Finally, I verify the actual transformation of topographic map that are DXF file format by conducting the series of tests.

• Journal of the Korean Geographical Society
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• v.39 no.1
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• pp.132-152
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• 2004

The critical point in this research is that the research on the phenomenon "teaching geography" should include how various elements consisting of the phenomenon are interrelated with each other in diverse angles, not deal with only teaching methods. This research focused on the relationships of the three components of teaching geography : contents of geography subject matter; learner; and scaffolding. Firstly, the characteristics of contents of geography subject matter were analyzed. Geographical knowledge was classified into four categories based on the way of perception. And then the selected geographic contents for this study were done didactic transposition into materials for geography education. These can be presented in a specific classification system from a context of geography education. Secondly, four categories of learning styles were divided by the way learners perceive and process information : Diverger; Assimilator; Converger; Accommodator. Each was connected with learner′s preferred contents of geography subject matter. The correlation between divergers and typical CulturalㆍHistorical Geography and Environmental Geography was high. So was between assimilators and typical Physical Geography and UrbanㆍEconomic Geography. Learners of Converger style tend to prefer GIS and Cartography. Finally, Regional Development and Regional Environmental Problems were highly correlated with accommodators.

• Journal of Environmental Health Sciences
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• v.38 no.5
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• pp.369-379
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• 2012

Objectives: Spatial analysis is useful for understanding complicated causal relationships. This paper focuses trends and appling methods for spatial analysis associated with environmental asbestos exposure. Methods: Literature review and reflection of experience of authors were conducted to know academic background of spatial analysis, appling methods on epidemiology and asbestos exposure. Results: Spatial analysis based on spatial autocorrelation provides a variety of methods through which to conduct mapping, cluster analysis, diffusion, interpolation, and identification. Cause of disease occurrence can be investigated through spatial analysis. Appropriate methods can be applied according to contagiousness and continuity. Spatial analysis for asbestos exposure source is needed to study asbestos related diseases. Although a great amount of research has used spatial analysis to study exposure assessment and distribution of disease occurrence, these studies tend to focus on the construction of a thematic map without different forms of analysis. Recently, spatial analysis has been advanced by merging with web tools, mobile computing, statistical packages, social network analysis, and big data. Conclusions: Because the trend in spatial analysis has evolved from simple marking into a variety of forms of analyses, environmental researchers including asbestos exposure study are required to be aware of recent trends.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2014-2017
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• 2009

유출량과 수질자료는 하천을 관리하는데 있어 필수적인 수문자료이다. 미계측 유역의 경우 유출량은 면적비유량법 및 강우-유출모형을 통해서 유출량을 산정하고 있다. 강우-유출 모형에는 HEC-1, HEC-HMS, SWMM등의 여러 가지 모형이 쓰이고 있으며, 수질자료는 Qual2K, Qual2E 등의 모델을 이용하여 자료를 산출하고 있다. 기존의 모델들은 토지이용과 토양의 특성을 반영하기 어렵다. 토지이용과 토양의 특성을 반영하기 어려웠던 기존의 모형과는 달리 SWAT(Soil And Water Assessment Tool) 모형의 경우 GIS(Geographic Information system)를 이용함으로써 정확한 토지이용과 토양특성을 적용할 수 있다는 장점이 있으며, 시 공간적 변화를 고려할 수 있다. 또한, 유역을 소유역으로 세분화함으로써 수문학적 응답 단위(Hydrologic Response unit : HRU)로 계산이 가능하여 더욱 세밀한 모의가 가능하다. 본 연구에서는 SWAT모형을 전남 나주시와 화순군에 걸쳐 흐르는 지석천 유역에 적용하여 유출량과 수질을 모의함으로써 실제유역과 유사한 물리적 모의를 실행하였다. 그 결과 SWAT모형이 대상지역의 부하량과 유출량 모의에 높은 적용성을 나타냈다.

• Journal of Korean Society of Rural Planning
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• v.14 no.4
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• pp.109-119
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• 2008

The objectives of this study are to develop a green tourism potential evaluation method with rural amenity and demand of citizen. The new index which was named GPD(green tourism potential degree) is designed to propose the green tourism potential of rural areas using spatial analysis of geographic information system and spatial interaction of gravity model. And in order to evaluate the green tourism potential with supply side and demand side, two indices were defined; One is green tourism demand degree(GDD) which is developed to quantify a demand side potential by the analysis of urban population and urbanization index, and the other is green tourism attraction degree(GAD) which is developed to quantify a supply side potential by the analysis of rural amenity values using AHP algorithm, based on opinion of related experts. The developed method was applied to a part of Kyounggi province, Seoul and Incheon. All the study area's GAD, GDD and GPD were assessed and the proposed green tourism potential evaluation method could be used in developing rural development plans and green tourism policies considering spatial interaction with citizen and green tourism resources.

• Environmental Engineering Research
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• v.22 no.4
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• pp.369-376
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• 2017

The trend analysis of the study was acquired by selecting multiyear monthly groundwater table data and monitors the wells in each sub-district under the study area. The intention of this research was to analyze the outcome of the non-parametric Mann-Kendall test at greater than the significance level which is 95% of groundwater level in Sylhet. The aptitude is effective at two conjunctures where the confidence bounds are 95% and it meets the estimate line of Sen's. To calculate and assess the spatial differences in the inanition of groundwater table, geostatistical methods was applied based on data from 27 groundwater wells during the period from January 1975 to December 2011 which were obtained from a secondary source, Bangladesh Water Development Board. The geographic information system was used to assess the spatial change in order to find the level of groundwater. Cross-validation errors were found within an advisable level in estimating the groundwater depth with different interpolation models of ordinary kriging methods. Finally, surface maps were generated with the best-fitted model. The southeast region was found highly vulnerable from groundwater level point of view. Northern region was detected highest hazard prone area for diverge groundwater using kriging method.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.170-174
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• 2004

Land assessement is a procedure that assesses developmental, agricultural or heritage suitability of land parcel according to such criteria as soil, location and usability. There are much problems to execute land assessment by law. Problems include inadequate basic data, lack of linkage with the spatial planning system, and inefficiency in operation. The purpose of this study is to investigate methods of developing land assessment as a sustainable land use management tool in a Korean context, using case study. In the case study, land assessment will be executed through GIS- based assessment method. On the basis of the results of this case study, practical and institutional problems are described, and technical and institutional solutions are suggested.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.254-258
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• 2008

본 연구는 격자기반 운동파 강우유출모형 KIMSTORM(grid-based KIneMatic wave STOrm Runoff Model)의 기능을 개선하고 적용성을 평가하는 것이다. KIMSTORM은 김성준(1998)이 개발한 분포형 강우유출모형으로 포화상태의 지표흐름 및 토양수분상태의 시공간적인 분포를 파악할 수 있다. UNIX C++ 언어로 개발되었으며, GRASS 형태의 ASCII Grid를 입출력하도록 구성되어 있는 모형으로 UNIX 운영체제에서 구동이 가능하다. 그러나 UNIX와 GRASS는 최근에 많이 이용되지 않는 추세로 KIMSTORM 모형을 이용한 홍수유출해석이 적극적으로 활용되는데 주요 제약사항이 되어 왔다. 본 연구에서는 KIMSTORM을 윈도우즈 환경에서 운영될 수 있도록 FORTRAN 90을 이용하여 재개발하였으며 주요개선 사항으로, ESRI ASCII Grid 형태의 GIS(geographic information system) 자료 입력, 물리적 침투모의 방법인 GAML (Green-Ampt and Mein- Larson) 적용, 공간강우 입력가능, 정렬 알고리즘을 이용한 계산속도의 개선, 모형 자료입력 등 전처리 기능개선, 계산결과의 자동평가 및 분포도출력 등 후처리 방식개선으로 요약할 수 있다. 개선된 모형 GAML에 의한 침투방법을 적용하여, 남강댐유역($2,293\;km^2$)의 6개 강우사상을 대상으로 결정계수, Nash & Sutcliffe 모형효율계수, 용적편차, 첨두유량의 상대오차, 첨두시간의 절대오차를 이용하여 적용성을 평가하였으며, 민감도분석결과 초기토양수분조건과 하천조도계수가 가장 큰 민감도를 나타내었다.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.65-71
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• 2005

Area type is often used in freight demand analysis and logistics planning models. For example, in freight transportation planning. area type variable is most often commonly used in freight generation (attraction) model. Yet a reliable, forecastable and measurable definition or area type is generally not documented. In fact, there is little literature on the subject of predicting area type in the context of freight planning models. This can be troublesome when applying models to long-range logistics planning where significant changes in population and employment result in changes in the general character of an area. Through the use of Discriminant Model, GIS (Geographic Information System) analysis and Delphi methods, this paper presents the successful exploration for a quantifiable means of determining area type.