Journal of the Korean Geosynthetics Society (한국지반신소재학회논문집)

Korean Geosynthetics Society (한국지반신소재학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Geographic Information System(GIS)-Based Optimal Site System for Developing the Extreme Cold Region

공간정보(GIS) 기반 극한지 자원 개발 최적 위치 선정 시스템 개발

  • Sewon Kim (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Byungyun Yang (Dept. of Geography Education, Dongguk University) ;
  • YoungSeok Kim (Northern Infrastructure Specialized Team, Korea Institute of Civil Engineering and Building Technology)
  • Received : 2023.12.08
  • Accepted : 2023.12.19
  • Published : 2023.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

The extreme cold regions, including the South and North Poles, are rich in resources, but there are many constraints on resource development projects due to difficult access and a construction environment that is completely different from that of Korea. In recent years, global warming has increased the demand for the construction of resource exploitation plants. For resource development construction activities, a preliminary site analysis is required to minimize the risk of project implementation. In this study, the factors were analyzed to be considered in construction activities in extreme cold and optimal location selection system based on Geographic information system(GIS) has been developed. As a result of applying the development system to Alberta, Canada, where oil sand development is actively underway, it was confirmed that the results were consistent with the currently operating oil sand mining area.

남·북극을 포함한 극한지는 풍부한 자원이 매장되어 있지만 접근성이 어렵고, 국내와 전혀 다른 건설 환경 때문에 자원개발 사업 추진에 많은 제약이 있다. 최근 지구온난화로 극한지의 접근성이 용이해짐에 따라 자원개발 플랜트 건설 수요가 증가하고 있다. 이러한 지역에서의 자원개발 건설 활동을 위해서는 사업추진의 리스크를 최소화할 수 있도록 사전 입지 분석이 필요하다. 본 논문에서는 극한지 건설 활동에서 고려해야 할 주요 요인들을 분석하여, 공간정보(GIS, Geographic Information System) 기반의 건설환경 플랫폼 및 최적 입지 선정 시스템을 새롭게 개발하였다. 오일샌드 개발이 활발하게 진행되고 있는 캐나다 앨버타주(Alberta) 대상으로 개발 시스템을 적용한 결과, 현재 운용되고 있는 오일샌드 플랜트 채굴 지역과 일치함을 확인하였다.

Keywords

Acknowledgement

This research was supported by a grant(RS-2018-KA146546) from Ministry of Land Transportation Technology Business Support Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

References

  1. Adaptwest (2022), https://adaptwest.databasin.org.
  2. Alberta environment and parks oil sands information portal (2023), https://osip.alberta.ca/map.
  3. Bunruamkaew, K. and Murayam, Y. (2011), "Site suitability evaluation for ecotourism using GIS & AHP: A case study of Surat Thani Province, Thailand", Procedia-Social and Behavioral Sciences, Vol.21, pp.269-278. https://doi.org/10.1016/j.sbspro.2011.07.024
  4. Canada's national statistical agency (2023), last modified September 11, https://www.statcan.gc.ca/en/start.
  5. Darling, P. (2011), SME mining engineering handbook, Vol.1. SME.
  6. ESRI (2023a), Raster Calculator (Spatial Analyst). https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/raster-calculator.htm.
  7. ESRI (2023b), Zonal Statistics Spatial Analyst). https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/zonal-statistics.htm.
  8. Hazarika, R. and Saikia, A. (2020), "Landfill site suitability analysis using AHP for solid waste management in the Guwahati Metropolitan Area, India", Arabian Journal of Geosciences, Vol.13, pp.1-14. https://doi.org/10.1007/s12517-020-06156-2
  9. Kim, S. W., Choi, H. J., Yang, B. and Kim, Y. S. (2023a), "Development of a Site Suitability Evaluation Model For Arctic-Circle Energy Resource Construction", J. Korean Geosynthetics Society, Vol.22, No.3, pp.105-117.
  10. Kim, T. W., Kim, Y. S., Kim, S. W. and Han, H. S. (2023b), "Analysis of Optimal Locations for Resource-Development Plants in the Arctic Permafrost Considering Surface Displacement: A Case Study of Oil Sands Plants in theAthabasca Region, Canada", The Journal of Engineering Geology, Vol.33, No.2, pp.275-291. https://doi.org/10.9720/KSEG.2023.2.275
  11. Natural resource canada (2023), http://www.nrcan.gc.ca/home.
  12. Noorollahi, E., Fadai, D., Shirazi, M. A. and Ghodsipour, S. H. (2016), "Land suitability analysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process (FAHP) - A case study of Iran", Energies, Vol.9, No.8, p.43.
  13. Ruiz, H. S., Sunarso, A., Ibrahim-Bathis, K., Murti, S. A. and Budiarto, I. (2020), "GIS-AHP multi criteria decision analysis for the optimal location of solar energy plants at Indonesia", Energy Reports, Vol.6, pp.3249-3263. https://doi.org/10.1016/j.egyr.2020.11.198
  14. Vrinceanu, A., Dumitrascu, M. and Kucsicsa, G. (2022), "Site suitability for photovoltaic farms and current investment in Romania", Renewable Energy, Vol.187, pp.320-330. https://doi.org/10.1016/j.renene.2022.01.087