• Classification and Characteristic Comparison of Groundwater Level Variation in Jeju Island Using Principal Component Analysis and Cluster Analysis
  • Woo-Ri Lim1·Se-Yeong Hamm2·Chung-Mo Lee3*

  • 1Research Institutes of Applied Science, Catholic University of Pusan, Busan 46252, Korea
    2Institute of Environmental Studies, Pusan National University, Busan 46241, Korea
    3Department of Geological Sciences, Pusan National University, Busan 46241, Korea

  • 주성분분석 및 군집분석을 이용한 제주도 지하수위 변동 유형 분류 및 특성 비교
  • 임우리1·함세영2·이충모3*

  • 1부산가톨릭대학교 응용과학연구소
    2부산대학교 환경연구원
    3부산대학교 지질환경과학과

  • 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

Water resources in Jeju Island are dependent virtually entirely on groundwater. For groundwater resources, drought damage can cause environmental and economic losses because it progresses slowly and occurs for a long time in a large area. Therefore, this study quantitatively evaluated groundwater level fluctuations using principal component and cluster analyses for 42 monitoring wells in Jeju Island, and further identified the types of groundwater fluctuations caused by drought. As a result of principal component analysis for the monthly average groundwater level during 2005-2019 and the daily average groundwater level during the dry season, it was found that the first three principal components account for most of the variance 74.5-93.5% of the total data. In the cluster analysis using these three principal components, most of wells belong to Cluster 1, and seasonal characteristics have a significant impact on groundwater fluctuations. However, wells belonging to Cluster 2 with high factor loadings of components 2 and 3 affected by groundwater pumping, tide levels, and nearby surface water are mainly distributed on the west coast. Based on these results, it is expected that groundwater in the western area will be more vulnerable to saltwater intrusion and groundwater depletion caused by drought.


Keywords: Groundwater levels, Time series, Principal component analysis, Cluster analysis

This Article

  • 2022; 27(6): 22-36

    Published on Dec 31, 2022

  • 10.7857/JSGE.2022.27.6.022
  • Received on Nov 29, 2022
  • Revised on Dec 5, 2022
  • Accepted on Dec 16, 2022

Correspondence to

  • Chung-Mo Lee
  • Research Institutes of Applied Science, Catholic University of Pusan, Busan 46252, Korea

  • E-mail: chungmo@pusan.ac.kr