Numerical simulation and inversion of offshore area depth based on x-band microwave radar

WANG Li; WU Xiongbin; PI Xiaoshan; MA Ketao; LIU Jianfei; TIAN Yun

doi:10.1007/s13131-015-0627-7

Article Contents

Article Navigation > Acta Oceanologica Sinica > 2015 > 34(3): 108-114

WANG Li, WU Xiongbin, PI Xiaoshan, MA Ketao, LIU Jianfei, TIAN Yun. Numerical simulation and inversion of offshore area depth based on x-band microwave radar[J]. Acta Oceanologica Sinica, 2015, 34(3): 108-114. doi: 10.1007/s13131-015-0627-7

Citation:

WANG Li, WU Xiongbin, PI Xiaoshan, MA Ketao, LIU Jianfei, TIAN Yun. Numerical simulation and inversion of offshore area depth based on x-band microwave radar[J]. Acta Oceanologica Sinica, 2015, 34(3): 108-114. doi: 10.1007/s13131-015-0627-7

Citation:

PDF( 1648 KB)

Numerical simulation and inversion of offshore area depth based on x-band microwave radar

doi: 10.1007/s13131-015-0627-7

Radio Oceanography Laboratory, School of Electronic Information, Wuhan University Wuhan 430079, China

Received Date: 2014-02-28
Rev Recd Date: 2014-05-27

Abstract

Abstract

A detection method of offshore area depth utilizing the x-band microwave radar is proposed. The method is based on the sea clutter imaging mechanism of microwave radar, and combined with dispersion equation of the liner wave theorem and least square method (LSM), consequently get the inversion results of water depth in the detected region. The wave monitoring system OSMAR-X exploited by the Ocean State Laboratory, Wuhan University, based on a microwave radar has proven to be a powerful tool to monitor ocean waves in time and space. Numerical simulation and inversion of offshore area depth are carried out here; since JONSWAP model can give description of stormy waves in different growth phase, it is suitable for simulation. Besides, some results from measured data detected by OSMAR-X x-band radar located at Longhai of Fujian Province, China, validates this method. The tendency of the average water depths inferred from the radar images is in good agreement with the tide level detected by Xiamen tide station. These promising results suggest the possibility of using OSMAR-X to monitor operationally morphodynamics in coastal zones. This method can be applied to both shore-based and shipborne x-band microwave radar.
- microwave radar

FullText(HTML)

References(18)

References

Abileah R, Trizna D B. 2010. Shallow water bathymetry with an incoherent x-band radar using small (smaller) space-time image cubes. In: 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Honolulu, HI: IEEE, 4330-4333

Bell P S. 1999. Shallow water bathymetry derived from an analysis of x-band marine radar images of waves. Coastal Engineering, 37(3-4): 513-527

Bouws E, Günther H, Rosenthal W, et al. 1985. Similarity of the wind wave spectrum in finite depth water: 1. Spectral form. Journal of Geophysical Research: Oceans (1978-2012), 90(C1): 975-986

Chen Siyu, Bai Ning. 2011. Effect analysis of water depth measurement error on discharge data reorganization accuracy. Heilongjiang Science and Technology of Water Conservancy (in Chinese), (4): 19-20

Cui Limin. 2010. Study on remote sensing mechanism and retrival method of ocean wave and current with x band radar [dissertation]. Qingdao: Graduate School of Chinese Academy of Sciences (Marine Research Institute), 111

Hasselmann K, Barnet T P, Bouws E, et al. 1973. Measurements of Wind- Wave Growth and Swell Decay during the Joint North Sea Wave Project (JONSWAP). Hamburg: Deutches Hydrographisches Institut

Hessner K, Reichert K, Rosenthal W. 1999. Mapping of sea bottom topography in shallow seas by using a nautical radar. In: Proceedings of the 2nd International Symposium on Operationalization of Remote Sensing. Enschede, 16-20

Gangeskar R. 2002. Ocean current estimated from x-band radar sea surface, images. IEEE Transactions on Geoscience and Remote Sensing, 40(4): 783-792

Kitaigordskii S A, Krasitskii V P, Zaslavskii M M. 1975. On Phillips' theory of equilibrium range in the spectra of wind-generated gravity waves. J Phys Oceanogr, 5: 410-420

Seemann J, Senet C M, Dankert H, et al. 1999. Radar image sequence analysis of inhomogeneous water surfaces. In: Tescher A G, Co D. Proceedings of the Conference on Applications of Digital Image Processing XXII. Bellingham: Society of Photo-Optical Instrumentation Engineers, 3808: 536-546

Senet C M, Seemann J, Flampouris S. 2008. Determination of bathymetric and current maps by the method DISC based on the analysis of nautical x-band radar image sequences of the sea surface (November 2007). IEEE Transactions on Geoscience and Remote Sensing, 46(8): 2267-2279

Tuckcr M J. 1991. Waves in Ocean Engineering: Measurement Analysis and Interpretation. London: Ellis Horwood

Wang Jing, Tang Junwu, He Yijun, et al. 2013. The Retrieval of a nearshore wave frequency spectrum with X-band radar based on Neural Network. Haiyang Xuebao (in Chinese), 35(2): 43-51

Wang Yanfei, Stepanova I E, Strakhov V N, et al. 2011. Inverse Problems in Geophysics and Solution Methods (in Chinese). Beijing: Higher Education Press

Wen Shengchang, Yu Zhouwen. 1984. Ocean Wave Theory and Calculation

Principle (in Chinese). Beijing: Science Press

Wu Yanqin, Wu Xiongbin, Cheng Feng, et al. 2007. Basic analysis on the extraction of ocean dynamic parameters with an x-band radar. Journal of Remote Sensing (in Chinese), 11(6), 817-825

Young I R, Rosenthal W, Ziemer F. 1985. A three-dimensional analysis of marine radar images for the determination of ocean wave directionality and surface currents. Journal of Geophysical Research: Oceans (1978-2012), 90(C1): 1049-1059

Relative Articles

Supplements(0)

Cited By

Proportional views