黄、东海二甲基硫与环境因子的多元分析及建模

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Abstract

Based on the published data during 2005 to 2015, the spatial and temporal variation of sea surface DMS and chlorophyll a (Chl-a) was discussed in the Yellow Sea and the East China Sea. DMS and Chl-a concentration in summer were higher than those during winter, and annual concentration of DMS and Chl-a rose from south to north, and the seasonal variation of DMS and Chl-a concentration got bigger with an increase of latitude. Statistical analysis showed that Chl-a had an exponential relation with DMS concentration during spring and summer, while there was a linear relationship during winter. And under conditions of different Chl-a concentration levels, the impact of temperature on DMS concentration were different. A multivariate statistical model was established in this work, in which the sea surface temperature and the surface Chl-a concentration was used to estimate the surface DMS concentration. The DMS concentration rose with the increase of the Chl-a concentration. The DMS concentration was relatively high within a range of temperature with the central temperature of 21.31℃, and the higher the Chl-a concentration was, the narrower the range of temperature could be.

Key words： dimethylsulfide multivariate statistical model the Yellow Sea the East China Sea

Received: 21 November 2018

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X55

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	SHEN Jia-wei
	ZHAO Liang
	WANG Si-jia
	LI Ya-xian

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SHEN Jia-wei,ZHAO Liang,WANG Si-jia等. Multivariate analysis between dimethylsulfide and environmental factors and modeling in the Yellow Sea and the East China Sea[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(6): 2514-2522.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I6/2514

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