Analysis of wave factors in shipwreck accidents based on SAR wave mode data
CSTR:
Author:
Affiliation:

Shanghai Ocean University,National Marine Environmental Forecasting Center,East China Sea Prediction Center, State Oceanic Administration of China,Fujian Marine Forecasts

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Swell is an important part in near shore wave systems and it can cause fishing shipwreck accidents due to its long duration and huge energy. Synthetic aperture radar (SAR) can image ocean waves and provide 2-dimentional wave spectra, making it an important remote tool for observing waves. In this study, swell information from orbital wave mode data of European Space Agency (ESA) ENVISAT-ASAR was used to quantify the effect of swells in wave-caused shipwreck accidents in China coastal seas. First, temporal and spatial match-up data among the wave-caused shipwreck accidents, ASAR wave mode data and model data were generated; and then the swell factors of match-up data were compared and analyzed. Conclusions are:when the shipwreck accidents happened, (1) weather systems were mostly cold air, extratropical cyclone or typhoon; (2) most mixed significant wave heights of wind waves and swells were larger than 2.0 m with swell portion greater than 50%; (3) the intersection angles between propagate directions of wind waves and swells were greater than 45°, and the shipwreck accidents happened more likely when conditions (2) and (3) were both satisfied.

    Reference
    Related
    Cited by
Get Citation

魏永亮,高志一,唐泽艳,曾银东.基于SAR波模式数据的沉船事故海浪要素分析[J].上海海洋大学学报,2017,26(6):946-952.
WEI Yongliang, GAO Zhiyi, TANG Zeyan, ZENG Yindong. Analysis of wave factors in shipwreck accidents based on SAR wave mode data[J]. Journal of Shanghai Ocean University,2017,26(6):946-952.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 06,2017
  • Revised:October 12,2017
  • Adopted:October 16,2017
  • Online: December 05,2017
  • Published:
Article QR Code