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Volumn 36, Issue 5, 1997, Pages 27-34

Water quality model structure identification using dynamic linear modeling: River Cam case study revisited

Author keywords

Bayesian statistics; BOD; Dynamic linear modeling; Kalman filter; Maximum likelihood estimator; Model predictability; Model structure identification; River water quality

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; KALMAN FILTERING; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RIVERS; TIME SERIES ANALYSIS;

EID: 0030714136     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0273-1223(97)00458-7     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 0016645927 scopus 로고
    • The identification of algal population dynamics in a freshwater stream
    • Vansteenkiste, G.C. (ed.), North-Holland, Amsterdam
    • Beck, M.B. (1974). The identification of algal population dynamics in a freshwater stream, in Vansteenkiste, G.C. (ed.), Computer Simulation of Water Resources Systems, North-Holland, Amsterdam, pp 483-494.
    • (1974) Computer Simulation of Water Resources Systems , pp. 483-494
    • Beck, M.B.1
  • 3
    • 0023523402 scopus 로고
    • Water quality modeling: A review of the analysis of uncertainty
    • Beck, M.B. (1987). Water quality modeling: a review of the analysis of uncertainty, Water resources Research, 23 (8): 1393-1442.
    • (1987) Water Resources Research , vol.23 , Issue.8 , pp. 1393-1442
    • Beck, M.B.1
  • 4
    • 1842284972 scopus 로고
    • Systematic identification of DO-BOD model structure
    • ASCE, 1976
    • Beck, M.B. and Young, P.C. (1976). Systematic identification of DO-BOD model structure, Journal of Environmental Engineering Division, ASCE, 102 (EE5), 902-927, 1976.
    • (1976) Journal of Environmental Engineering Division , vol.102 , Issue.EE5 , pp. 902-927
    • Beck, M.B.1    Young, P.C.2
  • 6
    • 0018435192 scopus 로고
    • Asymptotic behavior of the extended Kalman filter as a parameter estimator
    • Ljung, L. (1979). Asymptotic behavior of the extended Kalman filter as a parameter estimator, IEEE Transactions on Automatic Control, 24, 36-50.
    • (1979) IEEE Transactions on Automatic Control , vol.24 , pp. 36-50
    • Ljung, L.1
  • 7
    • 0018107190 scopus 로고
    • Coupled Bayesian-Kalman filter estimation of parameters and states of dynamic water quality model
    • Chiu, C-L. (ed.), Applications of Kalman Filter to Hydrology, Hydraulics, and Water Resources, Pittsburgh, PA
    • Moore, R.J. and Jones, D.A. (1978). Coupled Bayesian-Kalman filter estimation of parameters and states of dynamic water quality model, In: Chiu, C-L. (ed.), Applications of Kalman Filter to Hydrology, Hydraulics, and Water Resources, AGU Chapman Conference Proceedings, Pittsburgh, PA.
    • (1978) AGU Chapman Conference Proceedings
    • Moore, R.J.1    Jones, D.A.2
  • 8
    • 0028159520 scopus 로고
    • Water quality simulation modeling and uncertainty analysis for risk assessment and decision making
    • Reckhow, K.H. (1994). Water quality simulation modeling and uncertainty analysis for risk assessment and decision making, Ecological Modelling, 72, 1-20.
    • (1994) Ecological Modelling , vol.72 , pp. 1-20
    • Reckhow, K.H.1
  • 9
    • 0028667419 scopus 로고
    • A new approach to the identification of model structure
    • Stigter, J.D. and Beck, M.B. (1994). A new approach to the identification of model structure, Environmetrics, 5, 315-333.
    • (1994) Environmetrics , vol.5 , pp. 315-333
    • Stigter, J.D.1    Beck, M.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.