Kalman filter estimation model in flood forecasting
1985; Elsevier BV; Volume: 8; Issue: 1 Linguagem: Inglês
10.1016/0309-1708(85)90075-2
ISSN1872-9657
Autores Tópico(s)Meteorological Phenomena and Simulations
ResumoElementary precipitation and runoff estimation problems associated with hydrologic data collection networks are formulated in conjunction with the Kalman Filter Estimation Model. Examples involve the estimation of runoff using data from a single precipitation station and also from a number of precipitation stations. The formulations demonstrate the role of state-space, measurement, and estimation equations of the Kalman Filter Model in flood forecasting. To facilitate the formulation, the unit hydrograph concept and antecedent precipitation index is adopted in the estimation model. The methodology is then applied to estimate various flood events in the Carnation Creek of British Columbia.
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