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基于支持向量机模型反演浮游植物粒级结构及应用; A support vector machine model to estimate the phytoplankton size classes and preliminary application
Thesis Advisor曹文熙
Degree Discipline环境工程
Keyword南海北部 浮游植物粒级结构 支持向量机 吸收光谱
Abstract浮游植物占据着全球初级生产力的40-50%,在全球碳循环中扮演着重要角色。另外,浮游植物也是海洋生物地球化学循环中的重要组成部分,支配着海洋真光层部分大量的碳元素和其它成分。 浮游植物粒级大小和营养盐、光照等环境要素关系密切,这些环境要素都会影响浮游植物的光合作用、繁殖和生长过程,而这些过程和浮游植物粒级结构紧密相连。依据浮游植物的粒级大小,可分为picophytoplankton (0.2–2μm), nanophytoplankton (2–20μm), 和microphytoplankton (>20 μm)三大类。浮游植物的粒级大小作为区分几大主要浮游植物种群的依据,和浮游植物细胞生理结构、海洋生物链、渔业资源和多样的代谢率相关联。 南海开阔海区表层营养盐浓度较低,浮游植物叶绿素a浓度值低,相应的吸收光谱信号很弱。南海北部沿岸海区存在上升流、岸流等海洋动力过程,水文环境复杂多...
Other AbstractPhytoplankton is responsible for 40-50% of global primary productivity and play an important role in the global carbon cycle. Phytoplankton also is a major component in the marine biogeochemical cycles, regulate the carbon and other elements in the epipelagic zone. Phytoplankton size is closely related to the environmental characteristics (e.g., light and nutrients). These environmental factors regulate photosynthesis, and the growth of phytoplankton. The phytoplankton is separated into three size classes: picophytoplankton (0.2–2μm), nanophytoplankton (2–20μm), and microphytoplankton (>20 μm). Strong links have been established between phytoplankton size structure and the physiology of phytoplankton, is as of high fish production, the marine food web and the various metabolic rates. Th...
Document Type学位论文
Recommended Citation
GB/T 7714
姚林杰. 基于支持向量机模型反演浮游植物粒级结构及应用, A support vector machine model to estimate the phytoplankton size classes and preliminary application[D],2015.
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