• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.3
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• pp.116-131
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• 2014

In this study, sunshine environment in an urban area is analyzed using a numerical model which considers sunshine-duration blocking by topography and buildings. The numerical model used in this study has an improvement in the algorithm detecting sunshine duration in the model domain. The main improvement in the algorithm is to detect sunshine duration using all the surfaces of any grid cell(the previous model uses the center of any grid cell). The improvement in the algorithm gives more accurate evaluation of sunshine duration at corner surfaces of buildings. Using the improvement model and geographic information system(GIS) data, sunshine environment is analysed at an building-congested area in Busan for a week in four seasons. The results show that sunshine duration can be much changed by apartment complexes, high-rise buildings, topography in the model domain.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2071-2077
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• 2013

Esophageal cancer is a mjaor health problems in many parts of the world. A geographical information system (GIS) allows investigation of the geographical distribution of diseases. The purpose of the present study was to explore the relationship between esophageal cancer and effective climatic factors using GIS. The dispersion distribution and the relationship between environmental factors effective on cancer were measured using Arc GIS. The highest degree of spread was in Germi town and the least was in Ardabil city. There was a significant relationship between effective environmental factors and esophageal cancer in Ardabil province. The results indicated that environmental factors probably are influential in determining the incidence of esophageal cancer. Also, these results can be considered as a window to future comprehensive research on esophageal cancer and related risk factors.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.3
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• pp.43-60
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• 2016

Coastal cities need disaster planning that accounts for the complex causes of environmental disasters such as high tides or tsunamis generated by typhoons, and of river or lowland flooding caused by heavy rains, etc. The elements of the disaster map were initially defined using a Geographic Information System (GIS) to allow for efficient information management. Complex disaster information elements were thus established in this study to create a disaster map of coastal cities. The range of information required for coastal cities includes the type of disaster, evacuation methods, available sheltering facilities, and learning content. These informational elements are intended to build on spatial information based on data available from the Ministry of Public Safety and Security as well as local governments.

• Journal of the Korea Society for Simulation
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• v.22 no.3
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• pp.7-14
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• 2013

In this paper, there is a research for providing environmental data to reflect environmental effects to the simulation for the aviation weapon systems by the construction of the synthetic battlefield. The results of the aviation engagement simulation are able to differ by environmental effect. This paper analyzes the real aviation battlefield and designs the synthetic battlefield based on the analysis. In order to construct the designed synthetic battlefield, we collects the real environmental data for the atmosphere and structures the collected data using GIS (Geographic information system interpolation). The main objective of this paper is to design the synthetic battlefield based on the derived environmental factors from the analysis of the real aviation battlefield, and it constructs the designed synthetic battlefield by the collection of real atmosphere data. The constructed synthetic battlefield provides the environmental data which are requested from the distributed simulation system, and it makes the system reflect environmental effects to the simulation.

• Journal of Environmental Impact Assessment
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• v.4 no.3
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• pp.95-102
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• 1995

Environmental Impact Assessment (EIA) in Korea has worked toward environmental conservation and decision making since the Environmental Impact Statement of 1981. In order to implement the EIA process effectively, we have developed a system for and various methods of EIA. Among these methods, the Environmental Information System, which was introduced recently in Korea, can be used to integrate geographic and attribute data effectively. This study includes methods by which we may use the Environmental Information System. First of all, it explains building EIA factors on the natural environment, the living environment, and the socio-economic environment defined by Environmental Impact Statement regulations in Korea. This study also presents some applications of the assessment methods concerning suitability analysis of landfill sites. Finally, it shows the effectiveness of the Environmental Information System in odor impact assessment. Based on these analysis, the study makes some conclusions for the applications of the Environmental Information System.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.58-66
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• 2006

Environmental Sensitivity Index Map(ESI Map) is useful information for efficient and prompt contolling of oil spill accident. Environmental sensitivity information relating to oil spill is very various, so efficient access and utilization for environmental sensitivity information at control field is required. In order to improve the efficiency of controlling accident at the field, it is necessary to building digital ESI Map and GIS program. In this study, GIS database was built to utilize environmental sensitivity information at Yeosu and Gyunggi bay. And the ESI Map program which is focused on the control job was developed. IMO/IPIECA's guide to make the ESI Map and Korea Coast Guard's guide to collect information for the control information map were referenced to capture environmental sensitivity data and build GIS database. The symbology of environmental sensitivity layers was defined and functions for supporting control job were implemented in ESI Map program. For the future works, the program in this study could be applied to ESI Map program for the whole coastal area of Korea and it could be the essential element technology in marine pollution control supporting system.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.45-57
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• 2008

The purpose of this research is to select an appropriate location of water pollution prevention facilities(WPPF) through evaluating location decision factor using environmental geographic information system. To do that, this research reviewed the current location policies of WPPFs and its related researches. And this paper builds water pollutant statistical databases, integrated them with the geographic information system of the administrative areas where water pollutants are generated, and gears it with statistical programs such as correlation and regression analysis in order to figure out the pollution factors which influence on the location decision of WPPF on the real time base. The volume of discharge of industrial wastewater is one of the most important water pollutants on the location decision of WPPF. And the number of industrial facilities also was the most important location decision factor in constructing the WPPFs. In addition, this paper noted that the number of population in each area makes a role to restraint the construction of WPPF. It identified that the disposal facility in Nackdong river upper-middle watersheds was insufficient in treating the livestock pollutants. Therefore, Gyeongbuk should concentrate on the construction of disposal facilities of livestock pollutant in these areas. The results of this research will contribute to decide what kinds of WPPF should be constructed on which watershed in Nackdong River, and to forecast the future water quality of each watershed.

• Environmental Analysis Health and Toxicology
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• v.30
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• pp.10.1-10.14
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• 2015

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.

• Journal of Korean Society for Geospatial Information Science
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• v.2 no.1 s.3
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• pp.141-153
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• 1994

In this study, the first purpose is implementation of Regional Environmental Management System that is applied to the determination and limitation, execution of urban planning using Geographic Information System and the regional environmental problems in Sungnam are analyzed and presented. Also, the class of earth surface needed in the case of development of residing environment management model is determined using land utilization, the relationship of traffic and environment and the technique of residing environment analysis and assessment using regional environmental information is considered.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.4
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• pp.21-28
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• 2001

In this study, GNLP(GIS linked non-linear network analysis program) for pipeline system analysis has been developed. This GNLP gets the input data for pipeline analysis from existing GIS(geographic information system) data automatically, and has GUI(graphic user interface) for user. Non-Linear Method was used for hydraulic analysis of pipe network based on Hazen-Williams equation, and Microsoft Access of relational database management system(RDBMS) was used for the framework of database applied program. GNLP system environment program was improved so that a pipe network designer can input information data for hydraulic analysis of pipeline system more easily than that of existing models. Furthermore this model generate output such as pressure and water quantities in the form of a table and a chart, and also produces output data in Excel file. This model is also able to display data effectively for analysed data confirmation and query function which is the core of GIS program.