Estimating the Risk of River Flow under Climate Change in the Tsengwen River Basin
Autor: | Keh-Chia Yeh, Hsiao Ping Wei, Yung Ming Chen, Jun Jih Liou, Chao Tzuen Cheng |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences risk analysis Water flow 0208 environmental biotechnology Geography Planning and Development Midstream SOBEK Drainage basin Climate change 02 engineering and technology Aquatic Science 01 natural sciences Biochemistry lcsh:Water supply for domestic and industrial purposes Hydrology (agriculture) lcsh:TC1-978 Streamflow Climate change scenario extreme typhoon events 0105 earth and related environmental sciences Water Science and Technology Hydrology Upstream (petroleum industry) hydrological extreme lcsh:TD201-500 geography geography.geographical_feature_category 020801 environmental engineering climate change Environmental science |
Zdroj: | Water; Volume 8; Issue 3; Pages: 81 Water, Vol 8, Iss 3, p 81 (2016) |
ISSN: | 2073-4441 |
DOI: | 10.3390/w8030081 |
Popis: | 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). |
Databáze: | OpenAIRE |
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