Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Development of Automatic Event Detection Algorithm for Groundwater Level Rise

지하수위 상승 자동 이벤트 감지 알고리즘 개발

  • Park, Jeong-Ann (Department of Rural Systems Engineering.Research Institute for Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Song-Bae (Department of Rural Systems Engineering.Research Institute for Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Min-Sun (Chunnam Techno College) ;
  • Kwon, Ku-Hung (Tuvics Company) ;
  • Choi, Nag-Choul (Institute of Industrial Technology, Chonnam National University)
  • 박정안 (서울대학교 지역시스템공학과/농업생명과학연구원) ;
  • 김성배 (서울대학교 지역시스템공학과/농업생명과학연구원) ;
  • 김민선 (전남과학대학) ;
  • 권구흥 (투빅스(주)) ;
  • 최낙철 (전남대학교 공업기술연구소)
  • Received : 2010.07.21
  • Accepted : 2010.09.13
  • Published : 2010.11.30
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Abstract

The objective of this study was to develop automatic event detection algorithm for groundwater level rise. The groundwater level data and rainfall data in July and August at 37 locations nationwide were analyzed to develop the algorithm for groundwater level rise due to rainfall. In addition, the algorithm for groundwater level rise by ice melting and ground freezing was developed through the analysis of groundwater level data in January. The algorithm for groundwater level rise by rainfall was composed of three parts, including correlation between previous rainfall and groundwater level, simple linear regression analysis between previous rainfall and groundwater level, and diagnosis of groundwater level rise due to new rainfall. About 49% of the analyzed data was successfully simulated for groundwater level rise by rainfall. The algorithm for groundwater level rise due to ice melting and ground freezing included graphic analysis for groundwater level versus time (day), simple linear regression analysis for groundwater level versus time, and diagnosis of groundwater level rise by new ice melting and ground freezing. Around 37% of the analyzed data was successfully simulated for groundwater level rise due to ice melting and ground freezing. The algorithms from this study would help develop strategies for sustainable development and conservation of groundwater resources.

Keywords

References

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