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| Titel |
Integrating a Typhoon Event Database with an Optimal Flood Operation Model on the Real-Time Flood Control of the Tseng-Wen Reservoir |
| VerfasserIn |
Y. W. Chen, L. C. Chang |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250061916
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| Zusammenfassung |
| Typhoons which normally bring a great amount of precipitation are the primary natural
hazard in Taiwan during flooding season. Because the plentiful rainfall quantities brought by
typhoons are normally stored for the usage of the next draught period, the determination of
release strategies for flood operation of reservoirs which is required to simultaneously
consider not only the impact of reservoir safety and the flooding damage in plain
area but also for the water resource stored in the reservoir after typhoon becomes
important.
This study proposes a two-steps study process. First, this study develop an optimal flood
operation model (OFOM) for the planning of flood control and also applies the OFOM on
Tseng-wun reservoir and the downstream plain related to the reservoir. Second, integrating a
typhoon event database with the OFOM mentioned above makes the proposed planning
model have ability to deal with a real-time flood control problem and names as
real-time flood operation model (RTFOM). Three conditions are considered in the
proposed models, OFOM and RTFOM, include the safety of the reservoir itself,
the reservoir storage after typhoons and the impact of flooding in the plain area.
Besides, the flood operation guideline announced by government is also considered in
the proposed models. The these conditions and the guideline can be formed as an
optimization problem which is solved by the genetic algorithm (GA) in this study.
Furthermore, a distributed runoff model, kinematic-wave geomorphic instantaneous
unit hydrograph (KW-GIUH), and a river flow simulation model, HEC-RAS, are
used to simulate the river water level of Tseng-wun basin in the plain area and the
simulated level is shown as an index of the impact of flooding. Because the simulated
levels are required to re-calculate iteratively in the optimization model, applying
a recursive artificial neural network (recursive ANN) instead of the HEC-RAS
model can significantly reduce the computational burden of the entire optimization
problem.
This study applies the developed methodology to Tseng-wun Reservoir. Forty typhoon
events are collected as the historical database and six typhoon events are used to verify the
proposed model. These typhoons include Typhoon Sepat and Typhoon Korsa in 2007 and
Typhoon Kalmaegi, Typhoon Fung-Wong, Typhoon Sinlaku and Typhoon Jangmi in 2008.
The results show that the proposed model can reduce the flood duration at the downstream
area. For example, the real-time flood control model can reduce the flood duration by four
and three hours for Typhoon Korsa and Typhoon Sinlaku respectively. This results indicate
that the developed model can be a very useful tool for real-time flood control operation of
reservoirs. |
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