• A Study on the Probability between Geological Distribution and Soil Arsenic Concentration Using GIS
  • Ju-Sun Kim1, Jai-Young Lee1*, and Dong-Wook Kim2

  • 1Department of Environmental Engineering, University of Seoul, Seoul 02504, Korea
    2Department of Environmental Engineering, Kongju National University, Cheonan 32588, Korea

  • GIS를 이용한 지질분포와 토양비소농도의 개연성에 관한 연구
  • 김주선1ㆍ이재영1*ㆍ김동욱2

  • 1서울시립대학교 환경공학부,
    2국립공주대학교 환경공학과

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study investigated the probability of arsenic concentrations based on geological distribution using GIS and actual soil contamination surveys. To this end, isoconcentration curves were created by applying soil pollutant survey data from uncontaminated areas to the Surfer program. QGIS was used to overlay and visualize the previously created isoconcentration curves with a geological map to identify the relationship between geological structure and the distribution of arsenic concentrations in soil. Analysis of the soil survey data in conjunction with the geological map revealed that the top five areas with high arsenic concentrations were limestone and granite layers, accounting for 50% of the total, out of a total of 24 strata. Analysis of 89 strata in the top 20 areas centered on arsenic concentrations revealed that granite and limestone layers accounted for a high proportion of 40.4% of the total, indicating that areas with high soil arsenic concentrations are formed by granite and limestone layers. In conclusion, we were able to confirm that the actual distribution of arsenic concentrations in soils varies according to geological distribution, and that there is a possibility of a correlation between specific geological layers and soil arsenic concentrations. Future additional research is expected to be useful for identifying the direct and indirect distribution of arsenic concentrations according to geological distribution during large-scale environmental impact assessments and soil contamination investigations.


Keywords: Arsenic distribution, Geographic information system, Strata

This Article

  • 2025; 30(5): 75-83

    Published on Oct 31, 2025

  • 10.7857/JSGE.2025.30.5.075
  • Received on Apr 4, 2025
  • Revised on Apr 15, 2025
  • Accepted on Oct 9, 2025

Correspondence to

  • Jai-Young Lee
  • Department of Environmental Engineering, University of Seoul, Seoul 02504, Korea

  • E-mail: leejy@uos.ac.kr