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Suspended Sediment Concentration Distribution of Xiamen Sea Areas in China Based on Remote Sensing Analysis

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Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 482))

Abstract

Six Landsat TM imageries from 2001 to 2008 were used as the data source to identify the spatial and temporal variations of the suspended sediment concentration in surface waters of the Jiulongjiang Estuary and Xiamen Bay. The results showed: (1) The spatio-temporal distribution of suspended sediment concentration in Xiamen Bay are not only governed by river flow and tidal current, but also are affected by factors of wind and waves, which will change greatly in different seasons and regions; (2) There were two relative high concentration zones in different time in the whole Xiamen Bay, the first is in Haimen Island near and the second is in the shallow water area of the east sea of Xiamen; (3) In the Xiamen waters, SSC has strong seasonal variation; surface suspended sediment concentration distribution is different in different waters in a tidal cycle.

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References

  1. ENVI. ENVI Users Guide. U.S. RSI CO., Ltd., p. 613 (2005)

    Google Scholar 

  2. Han, Z., Jin, Y.-Q., Yun, C.-X.: Suspended sediment concentration in the Yangtze River estuary retrieved from the CMODIS data. International Journal of Remote Sensing 27, 4329–4336 (2006)

    Article  Google Scholar 

  3. Li, J., Gao, S., Wang, Y.-P.: Delineating suspended sediment concentration patterns in surface waters of the Changjiang Estuary by remote sensing analysis. Acta Oceanol. Sin. 29(4), 38–47 (2010)

    Article  Google Scholar 

  4. Lin, Q., Chen, Y.M., Huang, Y.-G.: An analysis of distribution of suspended sediment in Estuary by using remote sensing technology. Port & Waterway Engineering 2, 19–22 (2008) (in Chinese)

    Google Scholar 

  5. Yun, C.-X., Cai, M.-Y.: An analysis of the diffusion of suspended sediment discharged from the Changjiang River based on the satellite images. Oceanoligia et Limnoligia Sinica 12(5), 391–401 (1981) (in Chinese)

    Google Scholar 

  6. Zuo, S.-H., Li, J.-F., Wan, X.-N., Shen, H.-T.: Characteristics of temporal and spatial variation of suspended sediment concentration in the Changjiang Estuary. Journal of Sediment Research (3), 68–75 (2006) (in Chinese)

    Google Scholar 

  7. Zuo, S.-H., Yang, H., Zhao, Q., Zhao, H.-B.: Remote Sensing Analysis on Distribution and Movement of Surface Suspended Sediment in Coastal Waters of Wenzhou. Geography and Geo-Information Science 23(2), 47–50 (2007) (in Chinese)

    Google Scholar 

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Zuo, S., Yang, H., Zhao, H., Cai, Y. (2015). Suspended Sediment Concentration Distribution of Xiamen Sea Areas in China Based on Remote Sensing Analysis. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_31

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  • DOI: https://doi.org/10.1007/978-3-662-45737-5_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45736-8

  • Online ISBN: 978-3-662-45737-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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