Abstract

Data assimilation is an estimation method for stochastic dynamic system by combining the mathematical model with measurement data. Water level and velocity of river are stochastic dynamic system, and it is important to estimate the water level and velocity of river flow to reduce flood risk disaster. Here, we estimate the water level and velocity of river flow by using data assimilation specially Kalman filter and Ensemble Kalman filter. We define mathematical model of river flow, discretize and do simulation by Kalman filter and Ensemble Kalman filter. In data assimilation, we forecast the water level and velocity by using mathematical model and based on the measurement data, the correction of forecasting is made.

Original languageEnglish
Article number012057
JournalJournal of Physics: Conference Series
Volume890
Issue number1
DOIs
Publication statusPublished - 21 Sept 2017
Event1st International Conference on Applied and Industrial Mathematics and Statistics 2017, ICoAIMS 2017 - Kuantan, Pahang, Malaysia
Duration: 8 Aug 201710 Aug 2017

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