Mapping Soil Contamination using QGIS

QGIS를 이용한 토양오염지도 작성

  • Kim, Ji-Young (Gyeonggi-do Institute of Health & Environment) ;
  • Bae, Yong-Soo (Gyeonggi-do Institute of Health & Environment) ;
  • Park, Jin-Ho (Gyeonggi-do Institute of Health & Environment) ;
  • Son, Yeong-Geum (Gyeonggi-do Institute of Health & Environment) ;
  • Oh, Jo-Kyo (Gyeonggi-do Institute of Health & Environment)
  • 김지영 (경기도보건환경연구원북부지원) ;
  • 배용수 (경기도보건환경연구원북부지원) ;
  • 박진호 (경기도보건환경연구원북부지원) ;
  • 손영금 (경기도보건환경연구원북부지원) ;
  • 오조교 (경기도보건환경연구원북부지원)
  • Received : 2019.07.31
  • Accepted : 2019.10.02
  • Published : 2019.10.31


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.


Supported by : 국립환경과학원


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