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Sensitivity analysis method of system identification and its potential in hydrologic research
Author(s) -
Vemuri Venkateswararao,
Dracup John A.,
Erdmann R. C.,
Vemuri Narasimhamurty
Publication year - 1969
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr005i002p00341
Subject(s) - sensitivity (control systems) , identification (biology) , computer science , simple (philosophy) , ideal (ethics) , hydrological modelling , system identification , algorithm , mathematical optimization , data mining , mathematics , engineering , geology , measure (data warehouse) , electronic engineering , philosophy , botany , epistemology , climatology , biology
Sensitivity analysis should be an integral part of nearly every hydrologic study. At an elementary level, sensitivity analysis is useful in studying the relative sensitivity of the result to the data input. Studying the sensitivity of a hydrologic system to changes in its parameters and initial conditions makes it possible not only to gain insight into a system's behavior but to derive simple computational algorithms for the identification of unknown parameters. The fact that sensitivity analysis leads to simple initial‐value problems makes it ideal for mechanization on an analog computer. The computational steps involved in implementing identification algorithms based on sensitivity analysis are relatively simpler than those based on such other methods as quasilinearization. The applicability of this method to identify both lumped and distributed hydrologic systems with deterministic or statistical input‐output data is demonstrated.