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
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2013年 / 58卷 / 04期
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
  • [1] Generator Coherency Using the Hilbert-Huang Transform
    Senroy, Nilanjan
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (04) : 1701 - 1708
  • [2] Hilbert-Huang Transform and the Application
    Liu, Yi
    An, Hao
    Bian, Shuangshuang
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 534 - 539
  • [3] Using the Hilbert-Huang transform to measure the electroencephalographic effect of propofol
    Shalbaf, R.
    Behnam, H.
    Sleigh, J. W.
    Voss, L. J.
    PHYSIOLOGICAL MEASUREMENT, 2012, 33 (02) : 271 - 285
  • [4] Practical implementation of Hilbert-Huang Transform algorithm
    Huang Daji
    ActaOceanologicaSinica, 2003, (01) : 1 - 14
  • [5] Practical implementation of Hilbert-Huang Transform algorithm
    Huang, DJ
    Zhao, JP
    Su, JL
    ACTA OCEANOLOGICA SINICA, 2003, 22 (01) : 1 - 14
  • [6] Analysis of cardiac abnormalities using Hilbert-Huang transform
    Sikkandar, Mohamed Yacin
    Akshayaa, V.
    Dinesh, Acharya Divya
    Sree, L. Dinikshaa
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2013, 13 (01) : 69 - 86
  • [7] Estimation of Teager energy using the Hilbert-Huang transform
    Thuraisingham, Ranjit A.
    IET SIGNAL PROCESSING, 2015, 9 (01) : 82 - 87
  • [8] Mode Decomposition and the Hilbert-Huang Transform
    Ompokov, V. D.
    Boronoev, V. V.
    2019 RUSSIAN OPEN CONFERENCE ON RADIO WAVE PROPAGATION (RWP), VOL 1, 2019, : 222 - 223
  • [9] A survey on Hilbert-Huang transform: Evolution, challenges and solutions
    Souza, Uender Barbosa de
    Escola, Joao Paulo Lemos
    Brito, Leonardo da Cunha
    DIGITAL SIGNAL PROCESSING, 2022, 120
  • [10] Analysis of partial discharge signal using the Hilbert-Huang transform
    Wang, Xiaodong
    Li, Baoqing
    Liu, Zhiwei
    Roman, Harry T.
    Russo, Onofrio L.
    Chin, Ken K.
    Farmer, Kenneth R.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2006, 21 (03) : 1063 - 1067