1 AIT Asian Institute of Technology

Applications of Kalman filter techniques in river forecasting

AuthorLee, Shyh-tsai
Call NumberAIT Thesis no. CA-85-7
Subject(s)Kalman filtering
Hydrological forecasting
NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractIn recent year, Kalman filter techniques have been extensively developed and widely used in many hydrologic forecasting applications. In this study, three useful algorithms of Kalman filter were considered and their forecasting performances were compared. From several runs, it was found that a more complicated and generalized algorithm did not seem to perform better than a simple one. Therefore, a very simple algorithm was adopted throughout the work. The applications considered here involve forecasting of flood flows and forecasting of daily discharge. In the first case, trial-and-error procedures were used to arrive at suitable models which are very simple in its structure. In the second case, an extension of the Linear perturbation (or Hybrid) Model was proposed, where the departure (from the daily mean, or harmonic mean, ) of daily river discharge was linearly regressed upon its past values and past values of the departure of daily rainfall. For all the stations considered, This proposed model produced very good forecasts which were much better than those provided by the original Linear Perturbation Model. It was also found that Kalman filter techniques were not really needed in forecasting daily discharge at these stations.
Year1985
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentOther Field of Studies (No Department)
Academic Program/FoSComputer Application (CA)
Chairperson(s)Huynh, Ngoc Phien
Examination Committee(s)Kanchit Malaivongs ;Gupta, Ashim Das
Scholarship Donor(s)Republic of China
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1985


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