Journal
WATER
Volume 10, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/w10111568
Keywords
tidal river; tide; wave; rainfall-runoff; wavelet analysis; entropy
Categories
Funding
- Korea Agency for Infrastructure Technology Advancement (KAIA) - Ministry of Land, Infrastructure and Transport [18AWMP-B127555-02]
- Korea Environmental Industry & Technology Institute (KEITI) [127556] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Ask authors/readers for more resources
The water-level time series of a tidal river is influenced by various factors and has a complex structure, which limits its use as hydrological forecast data. This study proposes a methodology for decomposing the water-level time series of a tidal river into various components that influence the water level. To this end, the tide, wave, rainfall-induced runoff and noise components were selected as the main components that affect the water-level time series. The tide component and the wave component were first separated through wavelet analysis and curve fitting and then they were removed from the water-level data. A high-pass filter was then applied to the resulting time series to separate the rainfall-induced runoff component and the noise component. These methods made it possible to determine the rate of influence that each component has on the water level of a tidal river. The results could be used as a basis for calibrating a rainfall-runoff model and issuing flood forecasts and warnings for a tidal river.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available