크리깅기법을 이용한 지하수위 분포추정

• Published in: 한국수처리학회지, 24(6) pp. 137 - 148
• Main Authors: 오영훈, 박동일, 고병련
• Format: Journal Article
• Language: Korean
• Published: 한국수처리학회 31.12.2016
• Subjects: 토목공학
• ISSN: 1225-7192; 2289-0076
• DOI: 10.17640/KSWST.2016.24.6.137

Groundwater level distribution in Jeju north basin was analyzed with kriging methods. By using various kriging methods such as ordinary kriging, simple kriging, universal kriging, and co-kriging, the optimal groundwater level distribution in the study area was estimated. Before applying the kriging methods, a model with the lowest error in correlation analysis was selected with variogram, and as a result of the analysis, it was found that a Gaussian model showed the highest confidence level. By using the Gaussian model in the co-kriging with the highest overall error and confidence level, the groundwater distribution in 2015 was estimated. The result showed that there was no significant difference between the entire groundwater distribution and the monthly distribution, though there were some month-by-month difference in groundwater level around coastal lowlands. It was determined that in some local areas with high elevation such as the study area, the groundwater levels are also high. Based on the result, it was judged that the data would be utilized as basic materials in groundwater hydrographic modeling and groundwater analysis in the study area.Groundwater level distribution in study area was analyzed with kriging methods. By using various kriging methods such as ordinary kriging, simple kriging, universal kriging, and co-kriging, the optimal groundwater level distribution in the study area, was estimated. Before applying the kriging methods, a model with the lowest error in correlation analysis was selected with variogram, and as a result of the analysis, it was found that a Gaussian model showed the highest confidence level. By applying the Gaussian model to each kriging method, the interpretation of groundwater distribution was carried out. KCI Citation Count: 0