• Journal of Korean Society of societal Security
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• v.2 no.1
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• pp.65-74
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• 2009

In this study, the air pollution management system based GIS has been developed to estimate the emission rate and air pollution modeling of air pollutants, effectively. This system is able to estimate emission rate of air pollutant and to analyze the emission characteristics with high spatial and temporal resolution. air pollution modeling. The air pollution management system was applied to Gwangyang Bay including large industry complex with a large number of emission sources. The air pollution management system was constructed using the spatial database of emission sources in Gwangyang Bay. It was found that the estimated emission rates of air pollutants is similar to the emission characteristics in Gwangyang Bay. Also, the spatial distribution of pollutants was similar to the location of emission sources. The predicted results of air pollution model was showed a good correlation coefficient (0.75) for TSP. The air pollution management system is expected to be effective tool (database system (GIS)) for the management and the control of air pollution.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.321-327
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• 2017

China is experiencing the urbanization at an unprecedented speed and scale in human history. The continuing growth of China's big cities, both in city land and population, has already led to great challenges in China's urban planning and construction activities, such as the continuous increase of construction and demolition (C&D) waste. Therefore, how to characterize cities' construction activities, particularly dynamically quantify the flows of building materials and construction debris, has become a pressing problem to alleviate the current shortage of resources and realize urban sustainable development. Accordingly, this study is designed to employ 4D-GIS (four dimensions-Geographic Information System) and Internet Plus to offer new approach for accurate but dynamic C&D waste management. The present study established a spatio-temporal pattern and material metabolism evolution model to characterize the geo-distribution of C&D waste by combing material flow analysis (MFA) and 4D-GIS. In addition, this study developed a mobile application (APP) for C&D waste trading and information management, which could be more effective for stakeholders to obtain useful information. Moreover, a cloud database was built in the APP to disclose the flows of C&D waste by the monitoring information from vehicles at regional level. To summarize, these findings could provide basic data and management methods for the supply and reverse supply of building materials. Meanwhile, the methodologies are practical to C&D waste management and beyond.

• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.1-13
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• 2007

GPS/GIS and RFID technologies have been changing the paradigm af our society toward ubiquitous era. Especially, geographically distributed mobile agents with transporting objects need to be automatically recognizable and traceable under certain conditions. To do this, fundamental theories and technologies are required to specify and verify spatial and temporal behaviors of agents on geographical space. This paper presents a new formal method, called Calculus of Real-Time Distribution, Mobility, and Interaction (CaRDMI), for this purpose. For specification, CaRDMI defines a map, mobile agents with transporting objects. The movement of on agent is represented by a path on the map, consisting of a list of nodes and a list of edges with spatial and temporal constraints. Interactive constraints among agents are represented by synchronization modes on objects at nodes. These constraints are distinguishable features of CaRDMI from other methods. Especially, many-to-many timed synchronization constraints are noticeable. For verification, CaRDMI presents the spatial, temporal and interactive deduction rules and the spatial and temporal equivalence relations.

• Journal of Wetlands Research
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• v.14 no.1
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• pp.89-99
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• 2012

This study aims to develop the Masan bay special management system of the point and nonpoint sources of pollution using GIS as part of the Integrated Management System of the Masan Bay Special Management Area and utilize Total Pollution Loads Management System in Masan Bay more systematically and scientifically. The result of the pollution sources management at the Masan bay in conjunction with GIS was made possible the comparison of the source of pollution and the pollutant load among each administration area. It also developed Arc-GIS watershed management program which enables to estimate the population for discharge facilities, the water use of domestic population and commercial population, and pollutant load and discharge load of COD, TN and TP by the administration areas, years, and usages. In addition, this study anticipated minimizing temporal, economical efforts in utilizing large amounts of property and space utilization data and expediting the decision making process of policies in relation to the systematic and effective management system of pollutant loads at the Masan bay area. Further studies are required to plan the systematic management of the point and nonpoint sources of pollution and complement the watershed management system using GIS program for pollutant load which enables to predict the current and future state of point and nonpoint sources.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.13-21
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• 2007

Recently, very short-term rainfall forecast using radar is required for regional flash flood according to climate change. This research is to evaluate the feasibility of GIS based distributed model using radar rainfall which can express temporal and spatial distribution in actual dam watershed during flood runoff period. Vflo model which was developed Oklahoma university was used as physical based distributed model, and Namgang dam watershed ($2,293km^2$) was applied as study site. Distributed rainfall according to grid resolution was generated by using K-RainVieux, preprocess program of radar rainfall, from JIN radar. Also, GIS hydrological parameters were extracted from basic GIS data such as DEM, land cover and soil map, and used as input data of distributed model(Vflo). Results of this research can provide a base for building of real-time short-term rainfall runoff forecast system according to flash flood in near future.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1389-1403
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• 2021

Disaster management using VHR (very high resolution) satellite images supports rapid damage assessment and also offers detailed information of the damages. However, the acquisition of pre-event VHR satellite images is usually limited due to the long revisit time of VHR satellites. The absence of the pre-event data can reduce the accuracy of damage assessment since it is difficult to distinguish the changed region from the unchanged region with only post-event data. To address this limitation, in this study, we conducted the wildfire-induced change detection on national wildfire cases using post-fire VHR satellite images and GIS (Geographic Information System) data. For GIS data, a national land cover map was selected to simulate the pre-fire NIR (near-infrared) images using the spatial information of the pre-fire land cover. Then, the simulated pre-fire NIR images were used to analyze bi-temporal NDVI (Normalized Difference Vegetation Index) correlation for unsupervised change detection. The whole process of change detection was performed on a superpixel basis considering the advantages of superpixels being able to reduce the complexity of the image processing while preserving the details of the VHR images. The proposed method was validated on the 2019 Gangwon wildfire cases and showed a high overall accuracy over 98% and a high F1-score over 0.97 for both study sites.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.3
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• pp.61-69
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• 2008

Land-use in northern Cheongju region is changing rapidly because of the increased interactions of human activities with the environment as population increases. Land-use change detection is considered essential for monitoring the growth of an urban complex. The analysis was undertaken mainly on the basis of the multi-temporal Landsat images (1991, 1992 and 2000) and DEM data in a post-classification analysis with GIS to map land-use distribution and to analyse factors influencing the land-use changes for Cheongju city. The area of each land-use category was also calculated for monitoring land-use changes. Land-use statistics revealed that substantial land-use changes have taken place and that the built-up areas have expanded by about $17.57km^2$ (11.47%) over the study period (1991 - 2000). This study illustrated an increasing trend of urban and barren lands areas with a decreasing trend of agricultural and forest areas. Land-use changes from one category to others have been clearly represented by the NDVI composite images, which were found suitable for delineating the development of urban areas and land use changes in northern Cheongju region. Rapid economic developments together with the increasing population were noted to be the major factors influencing rapid land use changes. Urban expansion has replaced urban and barren lands.

• Proceedings of the CALSEC Conference
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• 1999.07b
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• pp.555-562
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• 1999

연구목적은 CALS와 GIS (Geographic Information Systems)를 융합한 효과적인 전자상거래 운용 및 관리시스템의 개발에 두고 있으며, 이는 CALS와 EC로만 국한된 전자상거래 환경에 융통성 있는 지리정보기술 (Geographic Information Technologies)과의 상호운용에 의한 기법으로 전자상거래를 보완하여 생산과 판매 그리고 판매와 수요간의 비용절감의 효과를 달성하기 위함 에 있다. 전자상거래 분야의 문제점으로서 지역과 지역간에 형성되는 상거래의 공간적인 분포관계나 경제적인 연계관계 등에 대한 구체적인 요인분석이나 대처방안이 제시되고 있지 않고 있으며, 생산지와 분배처 그리고 수요자간의 공간적인 제반문제들에 의한 과도한 물류비용의 부담, 불확실한 수요공급의 추이, 급변하는 경제동향의 이해, 비정형적인 공간거래에 따른 비용의 발생 등이 대상이 되고 있다. 이들 문제점에 대한 해결 방안은 공간간의 상거래 상관관계를 제시해주는 분석기능의 제공, 지역간에 상거래 자료를 기록 관리하게 할 수 있는 공간DB의 도화 편집기능의 제공, 과거에서 현실까지의 자료에 의한 향후의 지리공간에 대한 상거래 추이를 위한 시공간 기능의 제공 등을 들 수 있다. CALS-GIS의 운용에 따른 기대효과는 다음과 같다. GIS의 공간분석기능을 활용하여 상거래 공간간의 지역성이나 경제성에 의한 상호간의 비용발생을 절감한다. GIS의 공간DB의 도화기능을 활용하여 지역사회간의 특성에 대한 자료를 도면에 의한 기록관리로 원활한 운영환경을 만든다. 시공간 모델링 기법 (Spatio-temporal Modeling)으로 과거에서 현재까지의 자료에 의한 향후의 지리공간에 대한 추이를 파악하여 상거래의 전략을 체계적으로 구축한다. 생활지리정보의 제공에 의한 다양한 정보의 접근에 의한 부수적인 관리의 도구로 전환할 수 있는 기반을 제공한다. System 개발을 개방형 환경으로 구축하여 CALS-GIS의 운영 이외의 차세대 신기술까지도 접목할 수 있는 시스템 환경으로 구현되어 제공된다.

• The Transactions of the Korea Information Processing Society
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• v.5 no.5
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• pp.1083-1097
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• 1998

The conventional geographic information systems(GIS) is a software which handles spatial and aspatial information of objects in the real world. The system can not support users time-varying information because it manipulates their snapshot data in the spatial database. Also even though it supports time-varying information, it is very limited and hs many difficulties in presenting and processing queries. This paper therefore describes an integrated spatiotemporal data model using loosely-coupled approach which is extended a time dimension for the previous spatial database and which handles time-varying historical information of spatial objects. Conclusionally this paper not only designed a data structure for spatiotemporal database, but also implemented spatial comparison operations varying over time.

• Journal of Korean Society of Rural Planning
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• v.10 no.1 s.22
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• pp.19-26
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• 2004

In this paper, forestry area change effect on the soil erosion in Asan lake watershed was estimated. Temporal variations of land use in the study watershed were analyzed from Landsat-5 TM remote sensing images. Geographic Information System (GIS) combined with Universal Soil Loss Equation (USLE) was used to estimate the soil erosion of Asan lake watershed. Spatial data for each USLE factors was obtained from the Landsat-5 TM remote sensing images and 1/25,000 scale digital contour maps. Sediment yield to Asan lake was estimated by sediment delivery ratio and sediment accumulation in lake was estimated by trap efficiency. The estimation methods were validated for sediment accumulation in Asan lake. From the hydrographic survey from 1974 to 2003 for Asan lake, sediment accumulation was measured. The estimated accumulation sediment of 303,569ton/yr showed similar value with observed of 295,888ton/yr. From the validated estimation methods, the increasing amount of soil erosion when 1% of forest area in Asan lake watershed decreases was calculated from 12.91 to 1482.05ton/yr.