• Title/Summary/Keyword: Environmental Geographic Information System

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Development of a Landslide Hazard Prediction Model using GIS (GIS를 이용한 산사태 위험지 판정 모델의 개발)

  • Lee, Seung-Kii;Lee, Byung-Doo;Chung, Joo-Sang
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.4
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    • pp.81-90
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    • 2005
  • Based on the landslide hazard scoring system of Korea Forest Research Institute, a GIS model for predicting landslide hazards was developed. The risk of landslide hazards was analyzed as the function of 7 environmental site factors for the terrain, vegetation, and geological characteristics of the corresponding forest stand sites. Among the environmental factors, slope distance, relative height and shapes of slopes were interpreted using the forestland slope interpretation module developed by Chung et al. (2002). The program consists of three modules for managing spatial data, analyzing landslide hazard and report-writing, A performance test of the model showed that 72% of the total landslides in Youngin-Ansung landslides area took place in the highly vulnerable zones of grade 1 or 2 of the landslide hazard scoring map.

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Priority Management Using the QGIS for Sources of Contaminated Soil in Gyeonggi-do Province (QGIS를 이용한 경기도내 토양오염원의 중점관리 지점 선정)

  • Son, Yeong-Geum;Kim, Ji-Young;Park, Jin-Ho;Im, Heung-Bin;Kim, Jong-Su
    • Journal of Environmental Health Sciences
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    • v.46 no.1
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    • pp.88-95
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    • 2020
  • Object: The purpose of this study was to select priority points for soil management using the location of groundwater and to suggest this method for soil contamination surveys. Method: Groundwater impact range was set to an area of 100 to 500 meters from the center point of agricultural groundwater wells. Data on industrial complex and factory areas, areas of stored or used ores and scrap metals, areas associated with waste and recycling, and traffic-related facilities areas were collected and checked for whether they fall within the groundwater impact range. Longitude and latitude coordinates of these data were mapped on the groundwater impact range using QGIS (Quantum Geographic Information System). Results: Considering the groundwater impact range, the points were selected as follows: 589 points were selected from 6,811 factories and 259 points were selected from 1,511 recycling business points. Traffic-related facility areas were divided between gas stations, bus depots, and auto mechanics. Thirty-four points were selected from 149 bus depots and 573 points were selected from 6,013 auto mechanic points. From the 2,409 gas station points, 323 were selected. Conclusion: Contaminated soil influences groundwater and crops, which can harm human health. However, soil pollution is not easily identified, so it is difficult to determine what has occurred. Pollution must be prevented beforehand and contaminated soil found. By selecting and investigating soil contamination survey points in consideration of the location of groundwater wells, we can safely manage water resources by preventing groundwater contamination in advance.

GIS-Based Spatial Statistical Analysis of Risk Areas for Liver Flukes in Surin Province of Thailand

  • Rujirakul, Ratana;Ueng-arporn, Naporn;Kaewpitoon, Soraya;Loyd, Ryan J;Kaewthani, Sarochinee;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.6
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    • pp.2323-2326
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    • 2015
  • It is urgently necessary to be aware of the distribution and risk areas of liver fluke, Opisthorchis viverrini, for proper allocation of prevention and control measures. This study aimed to investigate the human behavior, and environmental factors influencing the distribution in Surin Province of Thailand, and to build a model using stepwise multiple regression analysis with a geographic information system (GIS) on environment and climate data. The relationship between the human behavior, attitudes (<50%; $X_{111}$), environmental factors like population density ($148-169pop/km^2$; $X_{73}$), and land use as wetland ($X_{64}$), were correlated with the liver fluke disease distribution at 0.000, 0.034, and 0.006 levels, respectively. Multiple regression analysis, by equations OV= -0.599 + 0.005(population density ($148-169pop/km^2$); $X_{73}$) + 0.040 (human attitude (<50%); $X_{111}$) +0.022 (land used (wetland; X64), was used to predict the distribution of liver fluke. OV is the patients of liver fluke infection, R Square= 0.878, and, Adjust R Square= 0.849. By GIS analysis, we found Si Narong, Sangkha, Phanom Dong Rak, Mueang Surin, Non Narai, Samrong Thap, Chumphon Buri, and Rattanaburi to have the highest distributions in Surin province. In conclusion, the combination of GIS and statistical analysis can help simulate the spatial distribution and risk areas of liver fluke, and thus may be an important tool for future planning of prevention and control measures.

A Study on Hydrographic Survey based on Acoustic Echo-Sounder and GNSS (음향측심기와 GNSS 기반의 수로측량에 관한 연구)

  • PARK, Eung-Hyun;KIM, Dae-Hyun;JEON, Hae-Yeon;KANG, Ho-Yun;YOO, Kyung-Wan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.119-126
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    • 2018
  • In this study, In this study, the Datum Level-based hydrography surveying system and the ellipsoid-based system were analyzed to acquire more consistent depth data. For the study, the ellipsoid-based surveying for hydrography was conducted twice for the same track line. And the depth was calculated by correcting rise and fall of water level (water level change by tidal energy and other marine environmental energies) respectively by the traditional water level correction method and ellipsoidally referenced water level correction method. there is able to check that Ellipsoid-based hydrographic surveying data is more improved than Datum Level-based hydrographic surveying data in aspect of level difference phenomenon in the same area (surveying line). This result shows that if the Ellipsoid-based hydrographic surveying is performed, the sea level change (tidal energy and other marine environmental energy) of the survey area in real time could be reflected to more consistent generating bathymetric data.

Analysis on the Observation Environment of Surface Wind Using GIS data (GIS 자료를 활용한 지상 바람 관측환경 분석)

  • Kwon, A-Rum;Kim, Jae-Jin
    • Korean Journal of Remote Sensing
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    • v.31 no.2
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    • pp.65-75
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    • 2015
  • In this study, the observation environment of surface wind at an automatic weather station (AWS 288) located at Naei-dong, Mirang-si was analyzed using a computational fluid dynamics (CFD) model and geographic information system (GIS). The 16 cases with different inflow directions were considered before and after construction of an apartment complex around the AWS 288. For three inflow directions (south-south-westerly, south-south-easterly, and north-north-westerly), flow characteristics around the AWS 288 were investigated in detail, focusing on the changes in wind speed and direction at the AWS location. There was marked difference in wind speed between before and after construction of the apartment complex in the south-south-westerly case. In the south-south-easterly and north-north-westerly cases which were frequently observed at the AWS 288, the construction of the apartment complex had no marked influence on the observation of surface wind.

Mapping Soil Contamination using QGIS (QGIS를 이용한 토양오염지도 작성)

  • Kim, Ji-Young;Bae, Yong-Soo;Park, Jin-Ho;Son, Yeong-Geum;Oh, Jo-Kyo
    • Journal of Environmental Health Sciences
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    • v.45 no.5
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    • pp.487-496
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    • 2019
  • Objective: The purpose of this study was to create soil contamination maps using QGIS (Quantum Geographic Information System) and suggest selection methods for soil pollution sources for preferential investigation in a soil contamination survey. Method: Data from soil contamination surveys over five years in Gyeonggi-do Province, South Korea (2013-2017) were used for making soil contamination maps and analyzing the density of survey points. By analyzing points exceeding the concern level of soil contamination, soil pollutant sources for priority management were identified and selection methods for preferred survey points were suggested through a study of the model area. Results: A soil contamination survey was conducted at 1,478 points over five years, with the largest number of surveys conducted in industrial complex and factory areas. Soil contamination maps for copper, zinc, nickel, lead, arsenic, fluoride, and total petroleum hydrocarbons were made, and most of the survey points were found to be below concern level 1 for soil contamination. The density of the survey points is similar to that of densely populated areas and factory areas. The analysis results of points exceeding the criteria showed that soil pollutant sources for priority management were areas where ore and scrap metals were used and stored, traffic-related facilities areas, industrial complex and factory areas, and areas associated with waste and recycling. According to the study of the model area, the preferred survey points were traffic-related facilities with 15 years or more since their construction and factories with a score of 10 or more for soil contamination risk. Conclusion: Soil contamination surveys should use GIS for even regional distribution of survey points and for the effective selection of preferred survey points. This study may be used as guidelines to select points for a soil contamination survey.

Assessment of Regional Groundwater Pollution Hazard using Potential Pollutant of Pohang Area (잠재오염원을 이용한 포항지역의 광역적 지하수 오염 위험성 평가)

  • Lee, Sa-Ro;Kim, Yong-Seong;Kim, Deuk-Geun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.3
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    • pp.1-13
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    • 2006
  • The aim of the study is to assess groundwater pollution hazard of Pohang city using the DRASTIC system developed by the US Environmental Protection Agency (USEPA). Hydrogeological spatial databases of the system include information on depth to groundwater, net recharge, aquifer media, soil media, topographic slope, hydraulic conductivity, lineament and potential pollution source. With GIS based on these hydrogeological databases and the DRASTIC system, the regional groundwater vulnerability of the study area was assessed. Then the vulnerability was overlaid with potential pollution source and the regional groundwater pollution hazard was assessed by administrative district. From the results of the study, areas where need the counter plan for groundwater pollution and where should be managed for the groundwater pollution, are identified.

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Geographical Characteristics of PM2.5, PM10 and O3 Concentrations Measured at the Air Quality Monitoring Systems in the Seoul Metropolitan Area (수도권 지역 도시대기측정소 PM2.5, PM10, O3 농도의 지리적 분포 특성)

  • Kang, Jung-Eun;Mun, Da-Som;Kim, Jae-Jin;Choi, Jin-Young;Lee, Jae-Bum;Lee, Dae-Gyun
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.657-664
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    • 2021
  • In this study, we investigated the relationships between the air quality (PM2.5, PM10, O3) concentrations and local geographical characteristics (terrain heights, building area ratios, population density in 9 km × 9 km gridded subareas) in the Seoul metropolitan area. To analyze the terrain heights and building area ratios, we used the geographic information system data provided by the NGII (National Geographic Information Institute). Also, we used the administrative districts and population provided by KOSIS (Korean Statistical Information Service) to estimate population densities. We analyzed the PM2.5, PM10, and O3 concentrations measured at the 146 AQMSs (air quality monitoring system) within the Seoul metropolitan area. The analysis period is from January 2010 to December 2020, and the monthly concentrations were calculated by averaging the hourly concentrations. The terrain is high in the northern and eastern parts of Gyeonggi-do and low near the west coastline. The distributions of building area ratios and population densities were similar to each other. During the analysis period, the monthly PM2.5 and PM10 concentrations at 146 AQMSs were high from January to March. The O3 concentrations were high from April to June. The population densities were negatively correlated with PM2.5, PM10, and O3 concentrations (weakly with PM2.5 and PM10 but strongly with O3). On the other hand, the AQMS heights showed no significant correlation with the pollutant concentrations, implying that further studies on the relationship between terrain heights and pollutant concentrations should be accompanied.

A Study on the Improvement of River Management System Based on Riverbed Change Data Management Program for Utilization of Advanced Bathymetry Data (선진화된 하천측량자료 활용 및 관리를 위한 하상변동 자료관리 프로그램 기반의 하도유지관리체계 개선에 관한 연구)

  • Jo, Myung-Hee;Kim, Kyung-Jun;Kim, Hyun-Jung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.3
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    • pp.115-125
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    • 2013
  • The systematic management of river is difficult due to various environmental factors such as season and terrain deformation. Especially, river terrain are rapidly changing by natural and anthropogenic factors such as torrential rain during the summer and river development projects. Thus in this conditions, building the advanced river management system is an essential condition to support the ongoing management of survey data and to acquire data regularly through river terrain survey in order to maintain an active river. The need to build an efficient system have been increased through the enhancement and advancement of River Management Geographic Information Systems(RIMGIS). In this study, database design system and Riverbed Change Data Management Program was developed for systematic management of new river terrain survey data and the efficient use of river data dynamic changes. The key features are construction of river survey data, cross and longitudinal section monitoring and analysis of riverbed change data. Maintenance tasks which can be utilized in river-based architecture was constructed. The expected results are to be able to manage river systematically, and utilization of river topographic survey data efficiently for river maintenance work.

Plans for the Integrated Operation of Intelligent Service Facilities (지능화시설의 통합운영 방안)

  • YIM, Du-Hyun;PARK, Jeong-Woo;NAM, Kwang-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.1
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    • pp.127-136
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    • 2017
  • U-City laws are divided into three categories: intellectual laws, information superhighway laws, and integrated operation center laws. Previous studies have suggested that efficient infrastructure operation and management is necessary in Ubiquitous-City (U-City). However, infrastructure is often interpreted differently by different laws. The purpose of this study was to plan for the integrated operation of intelligent service facilities by comprehensively analyzing the law system of domestic intelligent service facilities and problems in operation and management based on this critical mind. For this, present conditions and problems of intelligent service facilities were found through interviews with people who are in charge of the law system and other practitioners. The necessity of integrated use, including city information generated from intelligent service facilities and installment locations, has been demonstrated. Government ministries and local governments have established various information systems using ICT and U-City laws that specify integrated management and operation, but do not clearly specify definitions for the specific responsibility and authority for main agents participating in facility operation. A system is needed to smoothly mediate the relevant divisions so that they can use installed equipment simultaneously for efficient operation in generating city information. This objective of this study was to prepare a unitary law system for efficient installment and management of intelligent service facilities by establishing a logically linked relationship among the relevant laws and regulations. This will provide a foundation for a management system that has an integrated linkage of intelligent service facilities.