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USE OF STATE ESTIMATION TECHNIQUES IN WATER RESOURCE SYSTEM MODELING 1
Author(s) -
Lettenmaier Dennis P.,
Burges Stephen J.
Publication year - 1976
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1976.tb02640.x
Subject(s) - kalman filter , computer science , completeness (order theory) , calibration , extended kalman filter , conceptualization , estimation , resource (disambiguation) , state (computer science) , errors in variables models , data mining , algorithm , machine learning , mathematics , systems engineering , artificial intelligence , engineering , statistics , mathematical analysis , computer network
. A relatively straightforward illustration of the potential uses of State Estimation techniques in water resources modeling is given. Background theory for Linear and Extended Kalman Filters is given; application of the filter techniques to modeling BOD and oxygen deficit in a stream illustrates the importance of model conceptualization, model completeness, uncertainty in model dynamics and incorporation of measurements and measurement errors. Potential applications of state estimation techniques to measurement system design; model building, assessment and calibration; and data extension are explored.