| Author | Sharma, Devendra Kumar |
| Call Number | AIT Thesis no. WA-84-17 |
| Subject(s) | Flood routing
|
| 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 method for the real-time flood forecasting by applying the Kalman filtering technique to the diffusion equation is developed, The diffusion equation is converted into a spatially distributed linear state space model.
To increase the computational efficiency the matrix manipulations a re avoided
by generalization of matrices.
The linear Kalman filter is applied t o the optimal estimation of the state variables (water levels) of a linear system. The extended Kalman filter
is applied while considering the time variation of parameters as unknown.
The Kalman filtering technique proves to b e advantageous for real - time flood forecasting . The filtering is found to improve the forecasting capabilities of the model significantly, The variance of the innovation
series is considerably reduced than that obtained without-utilizing the Kalman filter . |
| 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) | Huynh Ngoc Phien ;Yoganarashimhan , G.N.
|
| Scholarship Donor(s) | Royal Netherlands Government |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1983 |
