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2021 Vol.54, Issue 12S Preview Page

Research Article

A case study on an optimal analysis technique of primary measurements for safety management of fill dam

필댐의 안전관리를 위한 주요 계측 데이터의 최적 분석기법에 대한 사례 연구

Hyeoncheol Jeona
,
Seong-Kyu Yunb
,
Jiseong Kimc
,
En-Sang Imd
,
Gichun Kange*
전 현철a
,
윤 성규b
,
김 지성c
,
임 은상d
,
강 기천e*
aGraduate Student, Department of Civil Engineering, College of Engineering, Gyeongsang National University, Jinju, Korea
bResearch Professor, Engineering Research Institute, Gyeongsang National University, Jinju, Korea
cAssistant Professor, Department of Cadastre & Civil Engineering, Vision College of Jeonju, Jeonju, Korea
dPrincipal Researcher, Water Infrastructure Research Center, KWRI, K-water, Daejeon, Korea
eAssociate Professor, Department of Civil Engineering, College of Engineering, Gyeongsang National University, Jinju, Korea
a경상국립대학교 공과대학 토목공학과 석사과정
b경상국립대학교 공학연구원 학술연구교수
c전주비전대학교 지적토목학과 조교수
dK-water연구원 물인프라안전연구소 책임연구원
e경상국립대학교 공과대학 토목공학과 부교수
*Corresponding Author
31 December 2021. pp. 1155-1166
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Abstract

In this study, statistical analysis was performed to suggest the optimal analysis techniques for the main measuring instruments of the fill dam, such as seepage, crest settlement, and porewater pressure gauge. In addition, correlation analysis with water level and rainfall data was performed. Based on the results of descriptive statistical analysis for each instrument, porewater pressure gauges could be classified into 3 groups or 2 groups through principal component analysis, In the case of the group having a high correlation with the water level instrument, the correlation between the gauges was also large. In the case of seepage instrument, the distribution showed an extremely asymmetric distribution, so for quantitative analysis, the average seepage during non-precipitation and precipitation could be estimated through decision tree analysis. In the case of the crest settlement instrument, the correlation analysis showed that the correlation between the gauges was large, but the relationship with the water level instrument did not show a significant linear relationship, so EMD analysis was performed to analyze it in more detail. It is judged that principal component analysis, decision tree analysis, and data filtering method can be applied to analyze the behavior of pore water pressure meters, seepage, and crest settlement instrument as major measurement items of fill dam.

Keywords
Seepage
Pore water pressure
Crest settlement
Principal components analysis
Decision tree analysis
Data Filtering method

본 연구에서는 필댐의 주요계측기인 침투수량계, 정상침하계, 간극수압계의 최적 분석기법을 제안하기 위해 통계분석을 수행하였고, 이와 더불어 저수위, 강우량 데이터와의 상관관계 분석을 수행하였다. 계측기별 기술통계 분석 결과를 토대로 간극수압계는 주성분 분석을 통해 3그룹 또는 2그룹으로 분류가 가능하였고, 저수위가 상관성이 큰 그룹의 경우는 계측기 간의 상관성도 크게 나타났다. 침투수량의 경우는 극심한 비대칭 분포를 보이고 있어 정량적 분석을 위해 분류나무 분석을 통해 무강수, 강수시의 평균 침투수량을 추정할 수 있었다. 정상침하계의 경우는 상관분석 결과 계측기간의 상관성은 큰 것으로 나타났지만, 저수위계와의 관계에서는 유의미한 선형관계를 나타내지 못하여 이를 보다 상세히 분석하기 위해 EMD분석을 수행 하였다. 필댐의 주요 계측항목으로 간극수압계, 침투수량계, 정상침하계의 거동분석을 위해서는 각각 주성분 분석, 분류나무 분석, 데이터 필터 기법을 적용이 가능할 것으로 판단되며, 향후 유사한 계측항목에 적용이 가능할 것으로 판단된다.

키워드
침투수량
간극수압
정상참하
주성분 분석
분류나무 분석
데이터 필터 기법
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Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 54
  • No :12
  • Pages :1155-1166
  • Received Date : 2021-10-04
  • Revised Date : 2021-11-02
  • Accepted Date : 2021-11-18
  • DOI :https://doi.org/10.3741/JKWRA.2021.54.S-1.1155
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