Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast
A real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness updating technique was developed using the Kalman filter method to update Manning'...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2011-03-01
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| Series: | Water Science and Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237015301381 |
| _version_ | 1811235850376183808 |
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| author | Hong-jun Bao Lin-na Zhao |
| author_facet | Hong-jun Bao Lin-na Zhao |
| author_sort | Hong-jun Bao |
| collection | DOAJ |
| description | A real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness updating technique was developed using the Kalman filter method to update Manning's roughness coefficient at each time step of the calculation processes. Channel shapes were simplified as rectangles, triangles, and parabolas, and the relationships between hydraulic radius and water depth were developed for plain rivers. Based on the relationship between the Froude number and the inertia terms of the momentum equation in the Saint-Venant equations, the relationship between Manning's roughness coefficient and water depth was obtained. Using the channel of the Huaihe River from Wangjiaba to Lutaizi stations as a case, to test the performance and rationality of the present flood routing model, the original hydraulic model was compared with the developed model. Results show that the stage hydrographs calculated by the developed flood routing model with the updated Manning's roughness coefficient have a good agreement with the observed stage hydrographs. This model performs better than the original hydraulic model. |
| first_indexed | 2024-04-12T11:59:04Z |
| format | Article |
| id | doaj.art-91c16ac563e345d0bf0f9c15771bd027 |
| institution | Directory Open Access Journal |
| issn | 1674-2370 |
| language | English |
| last_indexed | 2024-04-12T11:59:04Z |
| publishDate | 2011-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Science and Engineering |
| spelling | doaj.art-91c16ac563e345d0bf0f9c15771bd0272022-12-22T03:33:55ZengElsevierWater Science and Engineering1674-23702011-03-0141132310.3882/j.issn.1674-2370.2011.01.002Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecastHong-jun Bao0Lin-na Zhao1Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, P. R. ChinaPublic Meteorological Service Center, China Meteorological Administration, Beijing 100081, P. R. ChinaA real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness updating technique was developed using the Kalman filter method to update Manning's roughness coefficient at each time step of the calculation processes. Channel shapes were simplified as rectangles, triangles, and parabolas, and the relationships between hydraulic radius and water depth were developed for plain rivers. Based on the relationship between the Froude number and the inertia terms of the momentum equation in the Saint-Venant equations, the relationship between Manning's roughness coefficient and water depth was obtained. Using the channel of the Huaihe River from Wangjiaba to Lutaizi stations as a case, to test the performance and rationality of the present flood routing model, the original hydraulic model was compared with the developed model. Results show that the stage hydrographs calculated by the developed flood routing model with the updated Manning's roughness coefficient have a good agreement with the observed stage hydrographs. This model performs better than the original hydraulic model.http://www.sciencedirect.com/science/article/pii/S1674237015301381flood routingManning's roughness coefficient updating methodKalman filterFroude numberSaint-Venant equationshydraulic model |
| spellingShingle | Hong-jun Bao Lin-na Zhao Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast Water Science and Engineering flood routing Manning's roughness coefficient updating method Kalman filter Froude number Saint-Venant equations hydraulic model |
| title | Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast |
| title_full | Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast |
| title_fullStr | Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast |
| title_full_unstemmed | Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast |
| title_short | Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast |
| title_sort | hydraulic model with roughness coefficient updating method based on kalman filter for channel flood forecast |
| topic | flood routing Manning's roughness coefficient updating method Kalman filter Froude number Saint-Venant equations hydraulic model |
| url | http://www.sciencedirect.com/science/article/pii/S1674237015301381 |
| work_keys_str_mv | AT hongjunbao hydraulicmodelwithroughnesscoefficientupdatingmethodbasedonkalmanfilterforchannelfloodforecast AT linnazhao hydraulicmodelwithroughnesscoefficientupdatingmethodbasedonkalmanfilterforchannelfloodforecast |