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Volume 29 Issue 2
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Article Navigation >  Acta Oceanologica Sinica  > 2010  >  (2): 33-39
HE Hailun, XU Yao. Wind-wave hindcast in the Yellow Sea and the Bohai Sea from the year 1988 to 2002[J]. Acta Oceanologica Sinica, 2016, 35(3): 46-53. doi: 10.1007/s13131-015-0786-5
Citation: WANG Difeng, GONG Fang, PAN Delu, HAO Zengzhou, ZHU Qiankun. Introduction to the airborne marine surveillance platform and its application to water quality monitoring in China[J]. Acta Oceanologica Sinica, 2010, (2): 33-39. doi: 10.1007/s13131-010-0019-x
shu

Introduction to the airborne marine surveillance platform and its application to water quality monitoring in China

doi: 10.1007/s13131-010-0019-x
  • 1.

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

  • 2.

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

  • Received Date: 2008-10-15
  • Rev Recd Date: 2009-05-07
    Abstract
  • China Marine Surveillance Force was equipped with modern aerial equipments for marine lawexecute with the advantage of functioning agilely at a large scale of surveillance coverage, providing powerful all-round safeguard, which is of benefit to the harmonious and sustainable development of coastal economy. Onboard the planes, three kinds of remote sensing sensors have been installed, including a marine airborne multi-spectrum scanner (MAMS), an optical-electronic platform, and an airborne hyper-spectral system AISA+. The specifications of remote sensing platforms were introduced briefly first, then examples of water quality monitoring by airborne remote sensing were presented, including the monitoring in coastal suspended material, oil-spill and abnormal warm water, etc.
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    5. Chengcheng Qian, Haoyu Jiang, Xuan Wang, et al. Climatology of Wind-Seas and Swells in the China Seas from Wave Hindcast. Journal of Ocean University of China, 2020, 19(1): 90. doi:10.1007/s11802-020-3924-4
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    7. Yuyi Hu, Weizeng Shao, Jian Shi, et al. Analysis of the typhoon wave distribution simulated in WAVEWATCH- III model in the context of Kuroshio and wind-induced current. Journal of Oceanology and Limnology, 2020, 38(6): 1692. doi:10.1007/s00343-019-9133-6
    8. Sheng Dong, Yijie Gong, Zhifeng Wang, et al. Wind and wave energy resources assessment around the Yangtze River Delta. Ocean Engineering, 2019, 182: 75. doi:10.1016/j.oceaneng.2019.04.030
    9. R.O. Cecilio, S.R. Dillenburg. An ocean wind-wave climatology for the Southern Brazilian Shelf. Part II: Variability in space and time. Dynamics of Atmospheres and Oceans, 2019, 88: 101103. doi:10.1016/j.dynatmoce.2019.101103
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    11. Weizeng Shao, Yexin Sheng, Huan Li, et al. Analysis of Wave Distribution Simulated by WAVEWATCH-III Model in Typhoons Passing Beibu Gulf, China. Atmosphere, 2018, 9(7): 265. doi:10.3390/atmos9070265
    12. Hailun He, Jinbao Song, Yefei Bai, et al. Climate and extrema of ocean waves in the East China Sea. Science China Earth Sciences, 2018, 61(7): 980. doi:10.1007/s11430-017-9156-7
    13. P.R. Shanas, V.M. Aboobacker, Alaa M.A. Albarakati, et al. Climate driven variability of wind-waves in the Red Sea. Ocean Modelling, 2017, 119: 105. doi:10.1016/j.ocemod.2017.10.001
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