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http://dx.doi.org/10.17663/JWR.2019.21.4.365

Decomposition of Wave Components in Sea Level Data using Discrete Wavelet Transform  

Yoo, Younghoon (Department of Civil Engineering, Inha university)
Lee, Myungjin (Department of Civil Engineering, Inha university)
Lee, Taewoo (Department of Civil Engineering, Inha university)
Kim, Soojun (Department of Civil Engineering, Inha university)
Kim, Hung Soo (Department of Civil Engineering, Inha university)
Publication Information
Journal of Wetlands Research / v.21, no.4, 2019 , pp. 365-373 More about this Journal
Abstract
In this study, we investigated the effect of wave height in coastal areas using discrete wavelet transform in Taehwa river basin in Ulsan. Through the decomposition result of tide data using daubechies level 7 wavelet and Curve Fitting Function, we confirmed that detail components of d3 and d4 were semidiurnal and diurnal components and approximation component(a6) was the long period of lunar fortnight constituent. The decomposed tide data in six level was divided into tide component with periodicity and wave component with non-periodicity using autocorrelation function and fourier transform. Finally, we confirmed that the tide component is consisted 66% and wave component is consisted 34%. So, we quantitatively assessed the effect of wave on coastal areas. The result could be used for coastal flood risk management considering the effect of wave.
Keywords
Coastal Area; Discrete Wavelet Transform; Tide; Wave Height;
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Times Cited By KSCI : 7  (Citation Analysis)
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1 Abbaszadeh, P. (2016). Improving hydrological process modeling using optimized threshold-based wavelet de-noising technique. Water resources management, 30(5), pp. 1701-1721. [DOI 10.1007/s11269-016-1246-5]   DOI
2 Ahn, SK, & Lee, DK. (2017). Estimation of Peak Water Level Based on Observed Records and Assessment of Inundation in Coastal Area - A Case Study in Haeundae, Busan City -, Korean Society of Environmental Impact Assessment, 26(6), pp. 445-456. [Korean Literature] [DOI https://doi.org/10.14249/eia.2017.26.6.445]
3 Baron Fourier, J. B. J. (1822). Theorie analytique de la chaleur. F. Didot.
4 Chen, W. B., & Liu, W. C. (2014). Modeling flood inundation induced by river flow and storm surges over a river basin. Water, 6(10), pp. 3182-3199. [DOI https://doi.org/10.3390/w6103182]   DOI
5 Euler, L. (1748). Introductio in analysin infinitorum (Vol. 2). MM Bousquet.
6 Haar, A. (1910). Zur theorie der orthogonalen funktionensysteme. Mathematische Annalen, 69(3), pp. 331-371. [DOI https://doi.org/10.1007/BF01456326]   DOI
7 Han, HC (2015). Inundation Analysis of Coastal Urban Area Considering Sea Level Rise and Overflow of Drainage System Under Climate Change, Master's Thesis, Inha University, Incheon, Korea. [Korean Literature]
8 Kang, JW, Kim, YS, Cho, HY & Shim, JS (2011). Characteristics of Nearshore Surge-Intensity. Korean Society of Coastal and Ocean Engineers. 23(6), pp. 458-465. [Korean Literature]   DOI
9 Kang, JW, Kim, YS & Cho, HY (2013). Decomposition of Tidal Residual Data Using a Wavelet Method and Characteristic. Korean Society of Coastal and Ocean Engineers. 25(3), pp. 165-171. [Korean Literature] [DOI http://dx.doi.org/10.9765/KSCOE.2013.25.3.165]   DOI
10 Kim, HK, & Kim, YT. (2013). Characteristics of Spatio-temporal Variability of Daily averaged Tidal, J. of the Korean Society of Marine Environment & Safety Residuals in Korean Coasts, 19(6), pp. 561-569. [Korean Literature] [https://doi.org/10.7837/kosomes.2013.19.6.561]   DOI
11 Kwon, HH, & Moon, YI. (2005). Analysis of Hydrologic Time Series Using Wavelet Transform. Korea Water Resources Association, 38(6), pp. 439-448. [Korean Literature] [DOI https://doi.org/10.3741/JKWRA.2005.38.6.439]   DOI
12 Lee, MJ, You, YH, Kim, SJ, Kim, KT, & Kim, HS. (2018). Decomposition of Water Level Time Series of a Tidal River into Tide, Wave and Rainfall-Runoff Components. Water, 10(11), pp. 1568. [DOI https://doi.org/10.3390/w10111568]   DOI
13 Lee, SY (2016). Numerical Analysis of the likelihood of secondary flooding characteristics of coastal areas by the storm via a drainage system, Master's Thesis, University of Seoul, Seoul, Korea. [Korean Literature]
14 Lee, SD (2016). Characteristics of Wave Attenuation with Coastal Wetland Vegetation. J. of Wetlands Research, 18(1), pp. 84-93. [Korean Literature] [DOI http://dx.doi.org/10.17663/JWR.2016.18.1.084]   DOI
15 Muraleedharan, G., Lucas, C., Soares, C. G., Nair, N. U., & Kurup, P. G. (2012). Modelling significant wave height distributions with quantile functions for estimation of extreme wave heights. Ocean Engineering, 54, pp. 119-131. [DOI https://doi.org/10.1016/j.oceaneng.2012.07.007]   DOI
16 Lian, J., Xu, H., Xu, K., & Ma, C. (2017). Optimal management of the flooding risk caused by the joint occurrence of extreme rainfall and high tide level in a coastal city. Natural Hazards, 89(1), pp. 183-200. [DOI https://doi.org/10.1007/s11069-017-2958-4]   DOI
17 Maheswaran, R., & Khosa, R. (2012). Comparative study of different wavelets for hydrologic forecasting. Computers & Geosciences, 46, pp. 284-295. [DOI https://doi.org/10.1016/j.cageo.2011.12.015]   DOI
18 Morlet, J., Arens, G., Fourgeau, E., & Giard, D. (1982). Wave propagation and sampling theory-Part II: Sampling theory and complex waves. Geophysics, 47(2), 222-236. [DOI https://doi.org/10.1190/1.1441329]   DOI
19 Shannon, C. E. (1948). A mathematical theory of communication. Bell system technical journal, 27(3), pp. 379-423. [DOI https://doi.org/10.1002/j.1538-7305.1948.tb01338.x]   DOI
20 Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., ... & Midgley, P. M. (2013). Climate change 2013: the physical science basis. Intergovernmental panel on climate change, working group I contribution to the IPCC fifth assessment report (AR5). New York.
21 Wamsley, T. V., Cialone, M. A., Smith, J. M., Atkinson, J. H., & Rosati, J. D. (2010). The potential of wetlands in reducing storm surge. Ocean Engineering, 37(1), 59-68.   DOI
22 Wang, W., & Ding, J. (2003). Wavelet network model and its application to the prediction of hydrology. Nature and Science, 1(1), pp. 67-71.
23 Zheng, F., Westra, S., Leonard, M., & Sisson, S. A. (2014). Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk. Water Resources Research, 50(3), pp. 2050-2071. [DOI https://doi.org/10.1002/2013WR014616]   DOI
24 Xu, K, Ma, C, Lian, J., & Bin, L. (2014). Joint probability analysis of extreme precipitation and storm tide in a coastal city under changing environment. PloS one, 9(10), e109341. [DOI https://doi.org/10.1371/journal.pone.0109341]   DOI
25 Yoon, SB, Lee, JH, Kim, KH, & Song, JH. (2014). Development of Storm Sewer Numerical Model for Simulation of Coastal Urban Inundation due to Storm Surge and Rainfall, J. of Korean Society of Coastal and Ocean Engineers, 24(6), pp. 292-299. [Korean Literature] [DOI https://doi.org/10.9765/KSCOE.2014.26.5.292]