Estimation of spatio-temporal wave grouping properties using Delaunay triangulation and spline techniques

被引:3
|
作者
Nieto Borge, Jose Carlos [1 ]
Gerardo Alcazar, Juan [1 ]
Orden, David [1 ]
Marazuela Reca, Sara [1 ]
Rodriguez, Gerardo [1 ]
机构
[1] Univ Alcala, Dept Phys & Math, Madrid 28805, Spain
基金
欧盟地平线“2020”;
关键词
Wave envelope; Wave field; Delaunay triangulation; Spline methods; DIRECTIONAL SPECTRUM; SEA; HEIGHT;
D O I
10.1016/j.oceaneng.2019.106187
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Wave groups can be detected and studied by using the wave envelope. So far, the method used to compute the wave envelope employs the Riesz transform. However, such a technique always produces symmetric envelopes, which is only realistic in the case of linear waves. In this paper we present a new method to compute the wave envelope providing more realistic results. In particular, the method allows to detect non-symmetry in the wave envelope, something useful, for instance, when detecting groups of high waves. The method computes first the local maxima and minima of the sea surface, and then determines the wave envelope by combining discrete methods, namely the use of the Delaunay triangulation, and tensor-product splines. The proposed method has been applied to simulated wave fields, and also to wave elevations data measured by an X-band radar. The obtained results correctly reproduce the behavior of the simulated waves.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Spatio-temporal photon density estimation using bilateral filtering
    Weber, M
    Milch, M
    Myszkowski, K
    Dmitriev, K
    Rokita, P
    Seidel, HP
    COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 2004, : 120 - 127
  • [22] Bioelectric sources estimation using spatio-temporal matching pursuit
    Ben-Gurion University of the Negev, Israel
    不详
    Appl Sign Process, 3 (195-208):
  • [23] Estimation of Housing Price Variations Using Spatio-Temporal Data
    Chica-Olmo, Jorge
    Cano-Guervos, Rafael
    Chica-Rivas, Mario
    SUSTAINABILITY, 2019, 11 (06)
  • [24] B-Spline Method for Spatio-Temporal Inverse Model
    WANG Hongxia
    ZHAO Zihan
    WU Yuehua
    LUO Xuehong
    Journal of Systems Science & Complexity, 2022, 35 (06) : 2336 - 2360
  • [25] B-Spline Method for Spatio-Temporal Inverse Model
    Wang, Hongxia
    Zhao, Zihan
    Wu, Yuehua
    Luo, Xuehong
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2022, 35 (06) : 2336 - 2360
  • [26] B-Spline Method for Spatio-Temporal Inverse Model
    Hongxia Wang
    Zihan Zhao
    Yuehua Wu
    Xuehong Luo
    Journal of Systems Science and Complexity, 2022, 35 : 2336 - 2360
  • [27] Projections of cancer mortality risks using spatio-temporal P-spline models
    Ugarte, M. D.
    Goicoa, T.
    Etxeberria, J.
    Militino, A. F.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2012, 21 (05) : 545 - 560
  • [28] Spatio-temporal modeling for disease mapping using CAR and B-spline smoothing
    Torabi, Mahmoud
    ENVIRONMETRICS, 2013, 24 (03) : 180 - 188
  • [29] Ocean wave directional spectrum estimation using spatio-temporal array of acoustic ranging and current measurement
    RAO Liang
    DENG Kai
    ZHANG Zhaowei
    WANG Changhong
    ChineseJournalofAcoustics, 2024, 43 (03) : 311 - 331
  • [30] Affine-Invariant Triangulation of Spatio-Temporal Data with an Application to Image
    Haesevoets, Sofie
    Kuijpers, Bart
    Revesz, Peter Z.
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (04):