| Author | Gautam, Harsha Raj |
| Call Number | AIT Thesis no. WA-84-7 |
| Subject(s) | Runoff
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | A. methodology for real-time forecasti.ng of river flows has been developed using a state space concept. The linear and non-linear storage function equations have been used to describe the dynamics of a rainfall-runoff process. .An
elaborate ma thematical development of these models has been presented within the
framework of the extended Kalman filter algorithm.
The initial estimates of states and covariance matrices of initial states and model errors as well as measurement errors required for the optimality of
the Kalman filter were chosen in a subjective way. These estimates are related to an optimal set of parameters to a certain degree . The parameters of models were estimated using the sensitivity analysis'. The initial set of parameters
needed to start the optimization process were estimated using empirical formulae.
Operational comparisons were made using these models to predict one, two and three- day ahead flood hydrographs for the real data of the Bagmati River
Basin in Nepal . The analysis of the results shows t ha t the non- linear model possesses the better predicting capability particularly when the forecasting lead time increases. It is achieved at a little expense of increased computer
time. |
| Year | 1983 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Water Resources Research Engineering (WA) |
| Chairperson(s) | Hoshi, Kiyoshi |
| Examination Committee(s) | Yoganarashimhan , G.N. ; Huynh Ngoc Phien |
| Scholarship Donor(s) | Carl Duisberg Gesellschaft , e.v. (COG) from the Federal Republic of Germany |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1983 |