Open AccessHydrological Forecasting Real-time Adjustment Technique
Author(s) -
Shengquan Yu,
Hongrui Wang,
Jun Yan
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/376/1/012072
Subject(s) - flood forecasting , flood myth , computer science , real time data , probabilistic forecasting , forecast error , econometrics , operations research , artificial intelligence , mathematics , geography , archaeology , world wide web , probabilistic logic
The parameters of flood forecasting model are optimized in the information of the previous data. It will cause the forecast result deviate from reality when the job forecasts. If we select the appropriate real-time correction, we can use the error message of the reservoir flood forecast model. In this paper, we use the modern stochastic system theory, combine with the real-time adjustment technology of the modern stochastic system theory. The real-time adjustment model is applied to the reservoir flood forecasting project, which is beneficial to improve the accuracy of flood forecasting.