Defining an estuary using the Hilbert-Huang transform

被引:8
|
作者
Chen, Yen-Chang [1 ]
Kao, Su-Pai [1 ]
Chiang, Hsiao-Wen [1 ]
机构
[1] Natl Taipei Univ Technol, Dept Civil Engn, Taipei, Taiwan
关键词
estuary; Hilbert-Huang transform (HHT); signal processing; tidal effect; water stage; EMPIRICAL MODE DECOMPOSITION; DEFINITIONS;
D O I
10.1080/02626667.2013.779776
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Researchers have used various physical, chemical, or topographic features to define estuaries, based on the needs of their particular subject. The principal features of estuaries are the tides that influence their water stages; thus, the boundaries of an estuary can be determined based on whether the water stage is subject to tidal influence. However, the water stage is also influenced by the upstream river discharge. A hydrograph of water stage will therefore include both non-stationary and nonlinear features. Here, we use the Hilbert-Huang Transform (HHT), which allows us to process such non-stationary and nonlinear signals, to decompose the water-stage hydrographs recorded at different gauging stations in an estuary into their intrinsic mode function (IMF) components and residuals. We then analyse the relationships between the frequencies of IMFs and known tidal components. A frequency correlation indicates that the water stage of the station is subject to tidal influences and is located within the estuary. The spatial distribution of the stations that are subject to tidal influences can then be used to define the estuary boundaries. We used data from gauging stations in the estuary region of Taiwan's Tanshui River to assess the feasibility of using the HHT to define an estuary. The results show that the HHT is a dependable and easy method for determining the boundaries of an estuary.
引用
收藏
页码:841 / 853
页数:13
相关论文
共 50 条
  • [21] QUANTIFICATION OF RESPIRATORY SINUS ARRHYTHMIA USING HILBERT-HUANG TRANSFORM
    Kuo, Terry B. J.
    Yang, Cheryl C. H.
    Huang, Norden E.
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2009, 1 (02) : 295 - 307
  • [22] Analysis of remote sensing data using Hilbert-Huang Transform
    Pinzón, JE
    Pierce, JF
    Tucker, CJ
    WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVII, PROCEEDINGS: CYBERNETICS AND INFORMATICS: CONCEPTS AND APPLICATIONS (PT II), 2001, : 78 - 83
  • [23] Wear detection in gear system using Hilbert-Huang transform
    Hui Li
    Yuping Zhang
    Haiqi Zheng
    Journal of Mechanical Science and Technology, 2006, 20 : 1781 - 1789
  • [24] Analysis of spike waves in epilepsy using Hilbert-Huang transform
    Jin-De Zhu
    Chin-Feng Lin
    Shun-Hsyung Chang
    Jung-Hua Wang
    Tsung-Ii Peng
    Yu-Yi Chien
    Journal of Medical Systems, 2015, 39
  • [25] Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform
    Olivier Adam
    EURASIP Journal on Advances in Signal Processing, 2008
  • [26] Analysis of spike waves in epilepsy using Hilbert-Huang transform
    Zhu, Jin-De
    Lin, Chin-Feng
    Chang, Shun-Hsyung
    Wang, Jung-Hua
    Peng, Tsung-Ii
    Chien, Yu-Yi
    JOURNAL OF MEDICAL SYSTEMS, 2015, 39 (01)
  • [27] Spectral analysis of storm waves using the Hilbert-Huang transform
    Ortega, Joaquin
    Smith, George H.
    PROCEEDINGS OF THE SEVENTEENTH (2007) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 1- 4, PROCEEDINGS, 2007, : 1830 - 1835
  • [28] Vibration analysis of a cracked rotor using Hilbert-Huang transform
    Guo, D.
    Peng, Z. K.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 3030 - 3041
  • [29] FAULT DIAGNOSIS IN INDUCTION MOTORS USING THE HILBERT-HUANG TRANSFORM
    Antonino-Daviu, J. A.
    Riera-Guasp, M.
    Pineda-Sanchez, M.
    Puche-Panadero, R.
    Perez, R. B.
    Jover-Rodriguez, P.
    Arkkio, A.
    NUCLEAR TECHNOLOGY, 2011, 173 (01) : 26 - 34
  • [30] Analysis of Nonstationary Wind Fluctuations Using the Hilbert-Huang Transform
    Xu Jing-Jing
    Hu Fei
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2014, 7 (05) : 428 - 433