Assessment of Sediment Quality in Jiangsu Coastal Ocean Based on Grey Clustering Method

Abstract:

Thirty-nine samples of surface sediments obtained from Jiangsu coastal ocean were analysed to evaluate the sediment quality. The grey clustering method is applied to assess the sediment quality and generate the classified results. Then the samples are classified into three categories (clean, light pollution and heavy pollution). Of all the thirty-nine samples, there are eleven clean samples, twenty light pollution samples, and eight heavy pollution samples. The results show that the pollution status has the regional feature of concentrating distribution. By analysing underlying reasons, pollutants discharging into the sea due to increased industrial and agricultural activities contributed to the contamination. Therefore, more emphasis should be paid on the surface tidal flat sediment environment administration, especially on the treatment of pollution source for improving the sediment quality. It is very important to enhance the marine environmental protection for sustainable development of coastal area.

• Periodical: Applied Mechanics and Materials (Volume 535)
• Pages: 266-271
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.535.266
• Online since: February 2014
• Authors: Ke Jian Chu*, Min Tan
• Keywords: Coastal Ocean, Grey Clustering Method, Sediment Quality

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