• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.21-30
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• 2010

In this paper, the parallel distributed rainfall runoff model(K-DRUM) using MPI(Message Passing Interface) technique was developed to solve the problem of calculation time as it is one of the demerits of the distributed model for performing physical and complicated numerical calculations for large scale watersheds. The K-DRUM model which is based on GIS can simulate temporal and spatial distribution of surface flow and sub-surface flow during flood period, and input parameters of ASCII format as pre-process can be extracted using ArcView. The comparison studies were performed with various domain divisions in Namgang Dam watershed in case of typoon 'Ewiniar' at 2006. The numerical simulation using the cluster system was performed to check a parallelization effectiveness increasing the domain divisions from 1 to 25. As a result, the computer memory size reduced and the calculation time was decreased with increase of divided domains. And also, the tool was suggested in order to decreasing the discharge error on each domain connections. The result shows that the calculation and communication times in each domain have to repeats three times at each time steps in order to minimization of discharge error.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.99-106
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• 2014

After 1960 forest and ecosystem are rapidly destroyed by industrialization and urbanization. Accordingly, studies that produce vegetation map continue for forest and ecosystem management. Since 1986 national natural environment survey is being conducted in Korea. Also, vegetation information is managed properly through forest geospatial information service(FGIS) of the Department of Environment when NGIS project was promoted since 1995. But it provide dominant species information based on text. In particular, some vegetation information dose not provide to end-user. Therefore, we suggest construction method of vegetation information management system based on GIS to solve the problem. Also, we suggest connection method of related system for an accurate analysis, planning and decision-making support.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.202-202
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• 2011

상습침수지역 산사태위험지역 등 지형적인 여건 등으로 인해 재해가 발생할 우려가 있는 지역을 관리하기 위하여 "자연재해대책법"에 의해 지정되는 지구를 자연재해위험지구라 하며 특히 집중호우에 의한 도심지 주변 상습침수지역에 대한 체계적인 연구와 해석방법이 요구되는 실정이다. 이에 본 연구에서는 강원도 삼척시의 상습침수지역인 오십천 주변 자원동일대를 대상으로 수문학적 인자인 강우자료와 지형자료를 조사하고 도시유역 유출해석모형인 XP-SWMM을 적용하여 유출부에서의 본류수심을 고려한 재해위험지역의 하천범람과 내수침수 범위를 산정하였다. 연구지역은 GIS 프로그램인 ArcView를 이용하여 총 16개의 소유역으로 구분하고 총 노드 75개 총 링크 74개를 생성하고 분석하였다. 그 결과 2002년, 2003년의 태풍발생에 의해 침수된 지역의 특성을 하류지역의 경우 잘 반영하였으며 상류지역의 경우는 얕은 침수심을 갖으며 좀 더 넓게 침수피해가 발생하는 것으로 분석되었다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.397-408
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• 2003

The information about land use presents future development and vision being the basis of nation development; therefore, it is necessary to more active research that can detect wide land use and changes for the information and efficient management about land use. In this study, we wished to analyze effectively land use changes to Ansan city that is fast changing land use by the latest national land development and urbanization. this study executed land-cover classification using 4 year's Landsat TM images including Ansan city, and efficiently could manage the result of land-cover changes through Arc/Info GRID analysis. Especially, by using change detection system that is developed in this research, we could variously detect land-cover changes, and query and search easily past land-cover changes of pixels that correspond to specific region.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2006.03a
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• pp.374-381
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• 2006

This study presents a new information model for building a database which is used for the Damage Calculation in a Road network after Seismic outbreak (DCRS). The component which is required for information system and data analysis is divided by four factors. Those are Ground Motion Component, Road Network Component, Fragile Structure Component, and Cost Component. These components have various manners and procedures that build informations by each systems. In this study, applying the domestic system resources and these four factors, we presented the integrated evaluating system. finally, we also present the prototype of DCRS based on the ArcGIS. It is expected that developed prototype can play a role in more improved DCRS by advanced study.

• Journal of Soil and Groundwater Environment
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• v.26 no.6
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• pp.47-64
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• 2021

In this study, the annual and monthly groundwater recharge for the Sapgyo-cheon upstream basin in Chungnam Province was evaluated by water balance analysis utilizing WetSpass-M model. The modeling input data such as topography, climate parameters, LAI (Leaf Area Index), land use, and soil characteristics were established using ArcGIS, QGIS, and Python programs. The results showed that the annual average groundwater recharge in 2001 - 2020 was 251 mm, while the monthly groundwater recharge significantly varied over time, fluctuating between 1 and 47 mm. The variation was high in summer, and relatively low in winter. Variation in groundwater recharge was the largest in July in which precipitation was heavily concentrated, and the variation was closely associated with several factors including the total amount of precipitation, the number of days of the precipitation, and the daily average precipitation. This suggests the extent of groundwater recharge is greatly influenced not only by quantity of precipitation but also the precipitation pattern. Since climate condition has a profound effect on the monthly groundwater recharge, evaluation of monthly groundwater recharge need to be carried out by considering both seasonal and regional variability for better groundwater usage and management. In addition, the mathematical tools for groundwater recharge analysis need to be improved for more accurate prediction of groundwater recharge.

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.21-34
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• 2018

The purpose of this study is to analyze the spatial-temporal proliferation of individual factories in the Seoul Metropolitan Area and to provide policy implications. The location of the factory is divided into individual locations and planned locations. In the case of individual locations, it takes a long time to establish factories. Also, due to high cost and regulation, the establishment of individual factories is not easy. However, since the establishment process is simple and the price of land is low, the establishment of individual factories has led to an increase in the number of individual factories. The problem of the undeveloped factories is that the lack of infrastructure such as the road and environmental pollution treatment facilities around the factory deteriorates the pleasant environment and the cityscape and deteriorates the health of the residents in the surrounding area. In this study, we analyzed the location of individual factories established in the Seoul metropolitan area from 2001 to 2016 by using ArcGIS Pro. The results of the analysis are as follows. First, individual location factories are formed around existing industrial complexes and industrial sites. The reason for this is considered to be the external effect that can be obtained from the surrounding area. Secondly, since the Seoul city's individual location factories are established in many residential areas, it shows the conflicting result of the mixture of residence and factory. Third, the Gyeonggi province's individual location factories have a high proportion of non-urban areas. This is because the Gyeonggi province's management area occupies a larger proportion than other areas in Gyeonggi province. This study analyzed the spatial - temporal spreading process of individual factories and the unfolding of individual factories in the metropolitan area, and it can provide policy implications to control the over development of individual factories in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.126-138
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• 2017

Recently, the national interest in environment is increasing and for dealing with water environment-related issues swiftly and accurately, the demand to facilitate the analysis of water environment data using a GIS is growing. To meet such growing demands, a spatial network data-based stream network analysis map(Korean Reach File; KRF) supporting spatial analysis of water environment data was developed and is being provided. However, there is a difficulty in delineating catchment areas, which are the basis of supplying spatial data including relevant information frequently required by the users such as establishing remediation measures against water pollution accidents. Therefore, in this study, the development of a computer program was made. The development process included steps such as designing a delineation method, and developing an algorithm and modules. DEM(Digital Elevation Model) and FDR(Flow Direction) were used as the major data to automatically delineate catchment areas. The algorithm for the delineation of catchment areas was developed through three stages; catchment area grid extraction, boundary point extraction, and boundary line division. Also, an add-in catchment area delineation module, based on ArcGIS from ESRI, was developed in the consideration of productivity and utility of the program. Using the developed program, the catchment areas were delineated and they were compared to the catchment areas currently used by the government. The results showed that the catchment areas were delineated efficiently using the digital elevation data. Especially, in the regions with clear topographical slopes, they were delineated accurately and swiftly. Although in some regions with flat fields of paddles and downtowns or well-organized drainage facilities, the catchment areas were not segmented accurately, the program definitely reduce the processing time to delineate existing catchment areas. In the future, more efforts should be made to enhance current algorithm to facilitate the use of the higher precision of digital elevation data, and furthermore reducing the calculation time for processing large data volume.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.53-65
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• 2020

This study aimed to provide a basic information for managing the water quality of national and regional 1st rivers in Gyeongnam by analyzing the emerging hot spot patterns in BOD, T-P, and TOC, and by grouping the changing trends into clusters. The emerging hot spot analysis for each water quality item was implemented in ArcGIS Desktop with monthly water quality data from 96 water environmental monitoring stations in Gyeongnam, and then four patterns of water quality change were classified by the K-mean cluster analysis. As for BOD, persistent cold spot pattern covered about 42.9% of target rivers, and T-P concentration tended to be low or be getting lower at over 70% of target rivers. While, for TOC, about 70% of target rivers resulted in oscillating hot spots. In addition, the cluster analysis showed that the downstream of Nakdong river had the top priority in terms of water quality management because of the increasing concentration for all the three water quality.