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Research On The Real-Time Flood Forecast System Of Xinyi River

Posted on:2009-11-17Degree:MasterType:Thesis
Country:ChinaCandidate:M L HuFull Text:PDF
GTID:2132360272979836Subject:Port, Coastal and Offshore Engineering
Abstract/Summary:PDF Full Text Request
Real-time flood forecast is one of the most significant and effective non-structural measures for flood control , which usually has two courses: flood forecast and real-time correction. Real-time flood forecast system , which actualizes the automatic of hydrology information acquisition , transmission , pretreatment and forecast , provides technical support for flood protection scheduling decision making and becomes the development direction of water regime automatic surveying prediction system.On the basis of flood forecast theoretics summing-up and concluding , one-dimension hydrodynamic model of the single river is established as one-dimension discrete Saint-Venant equation by the four-point linear priesmann implicit scheme. Both chasing method and Newton Iterative Method are advanced to work out the discrete equations , and the two results are analyzed and compared. The model parameter is defined in Xinyi river as well as history flood information , which is prepared for model test, and the result is excellent. In order to improve forecast precision , Kalman filter is coupled with the model to emendate the result, and it performs perfectly. On the principle of normative , dependable , simply operational and all-purpose , the real-time forecast system which can handle data management , forecast , real-time emendation is established on computer as the center of database.It is the main content including model upbuilding , model verifying , real-time emendating and the foundation of real-time flood forecast in Xinyi river. The technique which is refered in the Research including flood forecast theory , hydrodynamic simulation , numerical analysis method , real-time correction , computer application etc.While the real-time flood forecast is carried into execution , the hydrology information in hand is always limited. So the idea was put forward , which make the most use of a series of data by several ways and means , and the outcomes are validated mutually. It is much strongly significant in application for reliable guarantee is given by.
Keywords/Search Tags:hydrodynamic model, chasing method, Newton iterative method, Kalman filtering method, real-time forecast
PDF Full Text Request
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