• Title, Summary, Keyword: quantum geographic information system

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A Study on the Distribution Map Construction of Asbestos Buildings Owned by Seoul Using QGIS (QGIS를 활용한 서울시 소유 석면건축물 분포지도 제작에 관한 연구)

  • Lee, Jin Hyo;Bae, Il Sang;Ha, Kwang Tae;You, Seung Sung;Han, Kyu Mun;Eo, Soo Mi;Jung, Kweon;Lee, Jin Sook;Koo, Ja Yong
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.9
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    • pp.528-533
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    • 2016
  • One of ways for effectively maintaining asbestos buildings is to select asbestos buildings to be removed firstly by manufacturing and analyzing asbestos map of various topics. Thus, in this study we manufactured asbestos map of various topics for the effective management of asbestos buildings owned by Seoul using QGIS (Quantum Geographic Information System). To select asbestos buildings likely to cause asbestos scattering problem and exposure into the air, we comprehensively took into consideration various topics such as asbestos buildings density, asbestos-area ratio, asbestos buildings distribution considering the population, first removal object, risk assessment, elapsed year. As described in this study, using the GIS may be utilized as a method for selecting asbestos buildings to be removed firstly as well as distribution of asbestos buildings. In the future, it is necessary to make assessment criteria considering diversification of property value in GIS such as the characteristics of the living environment around the asbestos buildings. This is expected to be utilized to manage the vulnerable region to asbestos exposure.

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.

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.

Spatial and Temporal Analyses of Cervical Cancer Patients in Upper Northern Thailand

  • Thongsak, Natthapat;Chitapanarux, Imjai;Suprasert, Prapaporn;Prasitwattanaseree, Sukon;Bunyatisai, Walaithip;Sripan, Patumrat;Traisathit, Patrinee
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.11
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    • pp.5011-5017
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    • 2016
  • Background: Cervical cancer is a major public health problem worldwide. There have been several studies indicating that risk is associated with geographic location and that the incidence of cervical cancer has changed over time. In Thailand, incidence rates have also been found to be different in each region. Methods: Participants were women living or having lived in upper Northern Thailand and subjected to cervical screening at Maharaj Nakorn Chiang Mai Hospital between January 2010 and December 2014. Generalized additive models with Loess smooth curve fitting were applied to estimate the risk of cervical cancer. For the spatial analysis, Google Maps were employed to find the geographical locations of the participants' addresses. The Quantum Geographic Information System was used to make a map of cervical cancer risk. Two univariate smooths: x equal to the residency duration was used in the temporal analysis of residency duration, and x equal to the calendar year that participants moved to upper Northern Thailand or birth year for participants already living there, were used in the temporal analysis of the earliest year. The spatial-temporal analysis was conducted in the same way as the spatial analysis except that the data were split into overlapping calendar years. Results: In the spatial analysis, the risk of cervical cancer was shown to be highest in the Eastern sector of upper Northern Thailand (p-value <0.001). In the temporal analysis of residency duration, the risk was shown to be steadily increasing (p-value =0.008), and in the temporal analysis of the earliest year, the risk was observed to be steadily decreasing (p-value=0.016). In the spatial-temporal analysis, the risk was stably higher in Chiang Rai and Nan provinces compared to Chiang Mai province. According to the display movement over time, the odds of developing cervical cancer declined in all provinces. Conclusions: The risk of cervical cancer has decreased over time but, in some areas, there is a higher risk than in the major province of Chiang Mai. Therefore, we should promote cervical cancer screening coverage in all areas, especially where access is difficult and/or to women of lower socioeconomic status.

Development of QAPEX Module using Open Source GIS (오픈 소스 기반의 GIS 소프트웨어를 이용한 QAPEX 모듈 개발)

  • Koo, Ja Young;Lee, Seo Ro;Choi, Soon Kun;Lim, Kyoun Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.175-175
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    • 2017
  • Agricultural Policy/Environmental eXtender Model(APEX)는 전 농장 또는 소규모 유역 관리에 활용하고자 개발된 모형이다. APEX는 사용자들을 고려하고 다양한 형태로 개발하였다. 사용자들이 사용하기 쉽도록 윈도우 인터페이스 형태의 WinAPEX 모듈을 개발하기도 하였으며, ArcGIS 프로그램과 연계하여 다양한 지리정보시스템을 사용할 수 있는 ArcAPEX 모듈을 개발하기도 하였다. 그러나 WinAPEX 모듈은 유역에 대한 정보를 시각적으로 확인할 수 없다는 단점을 가지고 있으며, ArcGIS 프로그램은 유료의 라이센스라는 단점을 보유하고 있다. 본 연구에서는 이러한 단점을 극복하기 위하여 APEX 모형을 GNU General Public License 기반의 Open Source Geographic Information System(GIS)인 Quantum GIS(QGIS)와 연계하여 QAPEX 모듈을 개발하고자 하였다. QAPEX 모듈은 오픈소스 기반의 QGIS 프로그램과 APEX 모형을 이용하여 무료로 사용할 수 있으며, 사용자의 편의를 위해 유역에 대한 정보를 시각적으로 확인할 수 있다. 뿐만아니라 QGIS는 사용자간의 정보 및 자료 공유에 용이한 장점을 보유하고 있어 QAPEX를 이용하는 사용자들 간의 정보 공유로 인해 원활하고 지속적인 개선이 이루어 질 것으로 기대된다.

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Prediction of potential habitats and distribution of the marine invasive sea squirt, Herdmania momus

  • Park, Ju-Un;Lee, Taekjun;Kim, Dong Gun;Shin, Sook
    • Korean Journal of Environmental Biology
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    • v.38 no.1
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    • pp.179-188
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    • 2020
  • The influx of marine exotic and alien species is disrupting marine ecosystems and aquaculture. Herdmania momus, reported as an invasive species, is distributed all along the coast of Jeju Island and has been confirmed to be distributed and spread to Busan. The potential habitats and distribution of H. momus were estimated using the maximum entropy (MaxEnt) model, quantum geographic information system (QGIS), and Bio-ocean rasters for analysis of climate and environment(Bio-ORACLE), which can predict the distribution and spread based only on species occurrence data using species distribution model (SDM). Temperature and salinity were selected as environmental variables based on previous literature. Additionally, two different representative concentration pathway (RCP) scenarios (RCP 4.5 and RCP 8.5) were set up to estimate future and potential habitats owing to climate change. The prediction of potential habitats and distribution for H. momus using MaxEnt confirmed maximum temperature as the highest contributor(77.1%), and mean salinity, the lowest (0%). And the potential habitats and distribution of H. momus were the highest on Jeju Island, and no potential habitat or distribution was seen in the Yellow Sea. Different RCP scenarios showed that at RCP 4.5, H. momus would be distributed along the coast of Jeju Island in the year 2050 and that the distribution would expand to parts of the Korea Strait by the year 2100. RCP 8.5, the distribution in 2050 is predicted to be similar to that at RCP 4.5; however, by 2100, the distribution is predicted to expand to parts of the Korea Strait and the East Sea. This study can be utilized as basic data to effectively control the ecological injuries by H. momus by predicting its spread and distribution both at present and in the future.