|
Accession number;07A0041886
|
| Title;Flood Forecasting System Using Weather Radar and a Distributed Hydrologic Model |
| Author;
KIM SUNNMIN
(Kyoto Univ.)
TACHIKAWA YASUTO
(Kyoto Univ.)
TAKARA KAORU
(Kyoto Univ.)
|
Journal Title;Abstracts for Annuals. Disaster Prevention Research Institute, Kyoto University (CD-ROM)
|
Journal Code:S0431B
|
ISSN:
|
|
VOL.;NO.49;PAGE.NO.49B,55-65(2006)
|
| Figure&Table&Reference;FIG.8, REF.19 |
| Pub. Country;Japan |
| Language;English |
| Abstract;A real-time flood forecast system is proposed with stochastic radar rainfall forecasts and recursive measurement update in a distributed hydrologic model. In the first part of the system, a radar image extrapolation model gives deterministic rainfall predictions and error fields are simulated to offer probable variation on the deterministic predictions. The error field simulation uses a random field generation method based on an analyzed error structure of the current time rainfall prediction. Then, the probable rainfall fields with generated error fields are given to a distributed hydrologic model to achieve an ensemble runoff prediction. In the second part of the system, the distributed model is coupled with the Kalman filter to utilize online hydrologic information by several techniques including Monte Carlo simulation scheme. (author abst.) |
|
|
|
Related Articles;
|
