uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Coupled Hydraulic and Kalman Filter Model for Real-Time Correction of Flood Forecast in the Three Gorges Interzone of Yangtze River, China
Show others and affiliations
2013 (English)In: Journal of hydrologic engineering, ISSN 1084-0699, E-ISSN 1943-5584, Vol. 18, no 11, 1416-1425 p.Article in journal (Refereed) Published
Abstract [en]

The Three Gorges Project along the Yangtze River in China, as one of the biggest hydropower-complex projects in the world, plays a significant role in the economic development of the area even of the whole nation. An accurate and reliable flood forecast modeling system is of significant importance for flood control, flood warning, and operation of larger reservoirs. Kalman filter coupling with hydrological models or hydraulic models is one of the efficient methods to adjust real-time flood series for reducing errors from model structure, input data, and calibrated parameters. However, the coupling model is time consuming in computation because the state vectors in this kind of Kalman filter including both water stage and discharge are solved simultaneously. In this study, an alternative coupling method was developed, which separates system state equations and measurement equations allowing the water stage and discharge to be computed alternately. The new method was applied for real-time flood forecasting in the Three Gorges interzone of Yangtze River. The hydraulic model is calibrated and verified against the observed flood stage and discharge before and during Three Gorges Dam construction periods. Study results demonstrate that the new model is efficient in real-time flood forecasting. A comparative study shows that the newly developed approach outperforms the conventional methods in terms of modeling efficiency, root mean square error, as well as the forecasting errors in the maximum water stage and peak flow.

Place, publisher, year, edition, pages
2013. Vol. 18, no 11, 1416-1425 p.
Keyword [en]
Floods, Forecasting, Kalman filters, Hydraulic models, Yangtze River, China, Real-time flood forecast, Kalman filter, Hydraulic model, Alternative Kalman filtering method
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:uu:diva-210558DOI: 10.1061/(ASCE)HE.1943-5584.0000473ISI: 000325644100007OAI: oai:DiVA.org:uu-210558DiVA: diva2:664117
Available from: 2013-11-14 Created: 2013-11-11 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Xu, Chong-Yu

Search in DiVA

By author/editor
Xu, Chong-Yu
By organisation
LUVAL
In the same journal
Journal of hydrologic engineering
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 412 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf