Paper
9 September 2009 The study on dynamic changes of NPP in coastal ocean of China
Author Affiliations +
Abstract
Ocean primary productivity is the ability that the ocean primary producers convert inorganic matter into organic matter through the assimilation. It is an important parameter used to estimate ocean biological resources and reflect the characteristics and quality of the ocean ecological environment. With the development of ocean color remote sensing, it has become possible by using the satellite remote sensing to monitor the ocean primary productivity. So, this study selected China's coastal ocean (0°- 41°N, 105°- 130°E) as the main location, used NPP products of SeaWiFS estimated from VGPM (Vertically Generalized Production Model), Eppley-VGPM and CbPM (Carbon-based Production Model) from 1998-2007 to research the characteristics of space distribution and dynamic changes of NPP with time. The results showed that: these models result have many same aspects and have many differences; the mean NPP of VGPM in all ocean regions have two peaks, that of Eppley-VGPM and CbPM just have one peak; the NPP of China coastal ocean has obviously seasonal and apatial variation. In time, the lowest value of NPP was in winter and the highest was in spring and summer; in space, the Bohai and the Yellow Sea had relatively high NPP, relatively low value of the NPP was in South China Sea.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiying Li, Hongchun Peng, Meiping Sun, Ji Liang, and Hui Yao "The study on dynamic changes of NPP in coastal ocean of China", Proc. SPIE 7473, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009, 74730O (9 September 2009); https://doi.org/10.1117/12.829967
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Coastal modeling

Remote sensing

Carbon

Statistical modeling

Data conversion

Satellites

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