Sea Technology

NOV 2013

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Chlorophyll Distribution, Variation The range of chlorophyll change in the upper layer and the middle layer is 0.47 to 27.71 micrograms per liter and 0.05 to 4.31 micrograms per liter, respectively. The average amount of chlorophyll in the two layers is 5.02 and 0.71 micrograms per liter, respectively. The content of chlorophyll declined sharply during April 2012 as the temperature decreased due to ice covering. The chlorophyll variation trends between the upper layer and the middle layer are well-correlated: The linear regression correlation factor between the upper layer and the middle layer is 0.914. The two peak values occurred on February 25 and March 26, 2012. The monthly variation trend is different from the historical records, which reveal that the peak values occurred in January and February 1988/1989, and in November and January 1998/1999. It is concluded that the biomass change is correlated with the environmental fuctuation in Great Wall Cove. Correlation of Chlorophyll, Environmental Parameters Chlorophyll is well-correlated with the temperature: The linear regression shows a correlation of R=0.681, n=10114 (R is the correlation coeffcient, and n is the number of data). The R value is consistent with the historical records of 1988/1989. The interannual variability of chlorophyll in Great Wall Cove is evident and partly due to change in water temperature. (Top) Temperature curve (left) and salinity curve (right) in Great Wall Cove. (Bottom) Chlorophyll curve in Great Wall Cove. declined sharply during April. The two peak values occurred on January 31 and February 9, 2012. The temperature declined to around -2° C at the end of May. The temperature variation trends in the upper layer, middle layer and bottom layer are well-correlated: The linear regression correlation factor of upper-middle, upper-bottom and middle-bottom is 0.987, 0.965 and 0.991, respectively. In contrast to the temperature curve, the salinity variation trend is ascending. The two minimum values occurred on April 18 and June 23, 2012. The salinity trends in the upper layer, middle layer and bottom layer are also wellcorrelated: The linear regression correlation factor of uppermiddle, upper-bottom and middle-bottom is 0.835, 0.780 and 0.975, respectively. The ascending salinity may be related to the decrease of freshwater input during the ice period. 44 st / November 2013 Conclusion The deployment of the NMEMS in Great Wall Cove validated the reliability of the system as effective for monitoring the marine environment and for marine ecology research in the polar region. The combination of the NMEMS and historical measurements has proven to be useful for coastal marine environmental monitoring. Another NMEMS will be deployed in Great Wall Cove January 2014 for more than six months. The two systems will work at different depths to provide comprehensive data for polar marine environmental monitoring and research. References For a list of references, please contact Changlei Ma at machanglei@sina.com. n Xiangnan Wang received his B.S. degree in precision instrument and optoelectronics engineering from Tianjin University in 1987. He is now a professor at the National Ocean Technology Center of China and has been active in various aspects of the research and design of marine environmental and ecological monitoring systems since 1987. Changlei Ma received his B.S. degree in marine management from the Ocean University of China in 2003 and his M.S. degree in marine monitoring technology in 2010. His research interests include marine strategy and the application and integration of oceanographic sensor platforms. www.sea-technology.com

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