한국물환경학회지 (Journal of Korean Society on Water Environment)

  • 제23권2호
  • /
  • Pages.251-259
  • /
  • 2007
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  • 2289-0971(pISSN)
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  • 2289-098X(eISSN)
한국물환경학회 (Korean Society on Water Environment)
권호 표지

비편향 회귀분석모형을 이용한 낙동강 본류 부유사량 산정방법의 신뢰도 향상

Improvement of Suspended Solid Loads Estimation in Nakdong River Using Minimum Variance Unbiased Estimator

  • 한수희 (부경대학교 환경시스템공학부) ;
  • 강두기 (부산대학교 토목공학과) ;
  • 신현석 (부산대학교 토목공학과) ;
  • 유재정 (국립환경과학원 낙동강물환경연구소) ;
  • 김상단 (부경대학교 환경시스템공학부)
  • Han, Suhee (Department of Environmental System Engineering, Pukyong National University) ;
  • Kang, Du Kee (Department of Civil Engineering, Pusan National University) ;
  • Shin, Hyun Suk (Department of Civil Engineering, Pusan National University) ;
  • Yu, Jae-Jeong (Nakdong River Water Environmental Research Center, National Institute of Environmental Research) ;
  • Kim, Sangdan (Department of Environmental System Engineering, Pukyong National University)
  • 투고 : 2007.01.15
  • 심사 : 2007.02.26
  • 발행 : 2007.03.30
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초록

In this study three log-transformed linear regression models are compared with the focus of bias correction problem. The models are the traditional simple linear regression estimator (SL), the quasi maximum likelihood estimator (QMLE) and the minimum variance unbiased estimator (MVUE). Using such models, suspended solid loads can be estimated using the discharge - suspended solid data set that has been measured by NIER Nakdong River Water Environment Laboratory. As a result, SL shows negative bias for most values of the measured discharge range. QMLE is nearly unbiased for moderate values of the measured discharge range, but shows increasingly positive bias for either large or small value of the measured discharge range. MVUE is unbiased. It is also analyzed how the estimated regression coefficient and exponent are distributed along Nakdong river main stream.

키워드

과제정보

연구 과제번호 : 낙동강 하천수리특성분석 및 수리모의예측기법 개발

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