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EVALUATION OF METHODS FOR ESTIMATING STREAM WATER QUALITY PARAMETERS IN A TRANSIENT MODEL FROM STOCHASTIC DATA 1
Author(s) -
Radha Krishnan K. P.,
Lizcano J.J.,
Erickson L.E.,
Fan L. T.
Publication year - 1974
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.1752-1688.1974.tb00612.x
Subject(s) - transient (computer programming) , noise (video) , statistics , quality (philosophy) , mean squared error , mathematics , estimation theory , water quality , value (mathematics) , computer science , physics , image (mathematics) , ecology , quantum mechanics , biology , artificial intelligence , operating system
In this study the estimation of parameters in water quality models represented by linear first order partial differential equations is investigated. Two sets of simulated input‐output data, one with input noise and the other with output measurement error, were used. The parameters were estimated by a gradient technique (Bard's method) and a pattern search technique. The results indicate that the output measurement error significantly affects the values of parameter estimates as compared to the noise added to the input. Bard's method consistently gave results with a smaller sum of square value.