Browsing by Author "Liou, Jun-Jih"

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Estimating the Risk of River Flow under Climate Change in the Tsengwen River Basin
(2016-03-01)
Wei, Hsiao-Ping
;
Yeh, Keh-Chia
;
Liou, Jun-Jih
;
Chen, Yung-Ming
;
Cheng, Chao-Tzuen
This study evaluated the overflow risk of the Tsengwen River under a climate change scenario by using bias-corrected dynamic downscaled data as inputs for a SOBEK model (Deltares, the Netherlands). The results showed that the simulated river flow rate at Yufeng Bridge (upstream), Erxi Bridge (midstream), and XinZong (1) (downstream) stations are at risk of exceeding the management plan's flow rate for three projection periods (1979-2003, 2015-2039, 2075-2099). After validation with the geomorphic and hydrological data collected in this study, the frequency at which the flow rate exceeded the design flood was 2 in 88 events in the base period (1979-2003), 6 in 82 events in the near future (2015-2039), and 10 in 81 events at the end of the century (2075-2099).
Using Structural Measures to Reduce Flood Losses in a Future Extreme Weather Event
(2016-10)
Wei, Hsiao-Ping
;
Li, Hsin-Chi
;
Yeh, Keh-Chia
;
Liou, Jun-Jih
;
Chen, Yung-Ming
Climate change is a real threat that brings heavier and more frequent extreme weather events. Many researchers have found that climate change will increase the risk of flooding around the world. The SOBEK inundation model and Taiwan Typhoon Loss Assessment System (TLAS) are used in this study to see if embankment and flood storage control measures can mitigate the impact (loss) of extreme events under climate change. Based on the simulation results, three inundation cases are simulated starting about 18 hr after the embankment is breached. When embankment and detention pond measures are not in place (Case A), the average flood depth in the catchment area caused by the TOP event is roughly 1.45 m. When adaptation measures such as [Case B raising embankments (Case B) and] are in place, the flood depth decreased by 39 and 33%, respectively. TLAS was used to evaluate the potential losses associated with the three cases (Case A, B, and C). When we add flood-control measures, the total loss reduced by adaptation measures for future extreme events in the Zhengwen River basin was NT$7 billion. This study provides applicable coping strategies for future extreme precipitation events that will effectively reduce the impact of extreme storm events.