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oceanic primary productivity
相关语句
  海洋初级生产力
     REMOTE SENSING OF OCEANIC PRIMARY PRODUCTIVITY AND ITS GIS ESTIMATION MODEL
     海洋初级生产力遥感与GIS评估模型研究
短句来源
     SATELLITE REMOTE SENSING FOR OCEANIC PRIMARY PRODUCTIVITY
     海洋初级生产力的卫星遥感
短句来源
     APPLICATION OF REMOTE SENSING AND GIS TO OCEANIC PRIMARY PRODUCTIVITY RESEARCHES
     遥感与地理信息系统在海洋初级生产力研究中的应用
短句来源
     A Dynamic Problem of Biogeography in Remote Sensing of Oceanic Primary Productivity
     遥感海洋初级生产力的生物-地理动力学问题
短句来源
     This peper expounds the dynamic problem of biogeography in remote sensing of oceanic primary productivity based on the analysis of submarine light spectral response of algae photosynthesis.
     本文在分析水下光场和藻类光合作用光谱响应基础上,阐述了海洋初级生产力遥感中的生物-地理动力学问题。
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     , and it services for the estimation of the oceanic primary production.
     从而为海洋初级生产力估算服务。
短句来源
     Primary Study of Oceanic Bacteria in Manganese Nodules
     大洋锰结核区细菌的初步研究
短句来源
     SATELLITE REMOTE SENSING FOR OCEANIC PRIMARY PRODUCTIVITY
     海洋初级生产力的卫星遥感
短句来源
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     原发性骨髓纤维化(附5例报告)
短句来源
     REMOTE SENSING OF OCEANIC PRIMARY PRODUCTIVITY AND ITS GIS ESTIMATION MODEL
     海洋初级生产力遥感与GIS评估模型研究
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  oceanic primary productivity
The atmospheric carbon dioxide response to oceanic primary productivity fluctuations
      
The greater availability of SRP overcompensates the slower vertical water exchange rates and leads to higher oceanic primary productivity.
      


Oceanic primery productivity, which is a main topic of ocean science, has critical meaning at the study of ocean biological system and global marine resources and environment. This paper presents the mechanism and methodology to obtain oceanic primary productivity using remote sensing and GIS technology based on sea truth data.Supported by GIS, applications related with primary oceanic productivity, eg. potential marine resource evaluation, red tide monitoring and evaluation, and global...

Oceanic primery productivity, which is a main topic of ocean science, has critical meaning at the study of ocean biological system and global marine resources and environment. This paper presents the mechanism and methodology to obtain oceanic primary productivity using remote sensing and GIS technology based on sea truth data.Supported by GIS, applications related with primary oceanic productivity, eg. potential marine resource evaluation, red tide monitoring and evaluation, and global change are primarily studied.

海洋初级生产力研究是海洋科学的重要课题之一。本文探讨了在实测资料的基础上用遥感和地理信息系统技术获取海洋初级生产力的原理及基本方法,并对在GIS支持下海洋初级生产力在潜在资源评价、赤潮灾害监测评估及全球变化等方面的应用进行了初步研究。

Satellite remote sensing provides a feasible method by which oceanic observation can be carried out on larger scales. For applying the satellite data in the investigation of marine primary productivity, it is most important that one formulates a suitable algorithm for estimating primary productivity using the chlorophyll concentrations derived from remotely sensed ocean color data.Because of the problem in plant physiological response, there are difficulties in generating a suitable algorithm. It is necessary...

Satellite remote sensing provides a feasible method by which oceanic observation can be carried out on larger scales. For applying the satellite data in the investigation of marine primary productivity, it is most important that one formulates a suitable algorithm for estimating primary productivity using the chlorophyll concentrations derived from remotely sensed ocean color data.Because of the problem in plant physiological response, there are difficulties in generating a suitable algorithm. It is necessary to understand and determine the physiological rate parameters and dynamic state of biological Structure of phytoplankton in the water column. This peper expounds the dynamic problem of biogeography in remote sensing of oceanic primary productivity based on the analysis of submarine light spectral response of algae photosynthesis.

卫星遥感为大尺度海洋观测提供了一种可行方法。卫星资料应用于海洋初级生产力研究中最重要的是建立由海洋水色遥感资料得出的色素浓度计算初级生产力的合适算法。由于植物生理学方面的问题,建立一个合适的初级生产力算法有一定的困难。了解和确立水体中浮游植物的生理速率参数与分布结构动态是必要的。本文在分析水下光场和藻类光合作用光谱响应基础上,阐述了海洋初级生产力遥感中的生物-地理动力学问题。

The possibility of using remote sensing of ocean water color to determine oceanic primary productivity has been recognized for many years. After reviewing the relevant literature, this paper presents the mechanism and a methodology to obtain oceanic primary productivity by using remote sensing and GIS technologies. The physical processes of absorption and scattering cause the upwelling radiance just beneath the sea surface to be related to the constituents of the water. Except for waters in close...

The possibility of using remote sensing of ocean water color to determine oceanic primary productivity has been recognized for many years. After reviewing the relevant literature, this paper presents the mechanism and a methodology to obtain oceanic primary productivity by using remote sensing and GIS technologies. The physical processes of absorption and scattering cause the upwelling radiance just beneath the sea surface to be related to the constituents of the water. Except for waters in close proximity to coastlines and coastal river months, biological constituents play a dominant role in these processes. The most important constituent appears to be phytoplankton, microscopic plant organisms that photosynthesize and constitute the bottom link in the ocean food chain. These plankton contain chlorophyll a, which absorbs strongly in the blue and red regions of the visible spectrum. Hence, increasing concentrations of phytoplankton (chlorophyll a) have the effect of changing the color of water from its pure state of deep blue to green hues. Another major factor that influences the precision of water color sensing is the unknown spectral characteristics of the water. Because of inherently different characters, there is great difference between the spectral measurement and analysis of different types of land and water. The method we use to remove the aerosol effects is based on a correction algorithm devised by Gordon, which isL(λ)=L s(λ)+L d(λ)={L w(λ)+L g(λ)}×T A(λ)+L P A(λ)+L P R(λ) In the investigation of marine primary productivity, it is most important that one formulates suitable algorithm for estimating primary productivity using the chlorophyll concentrations derived from remotely sensed ocean color data. Because of the problems in plant physiological response, there are difficulties in generating a suitable algorithm. Three methods for measuring primary productivity have been suggested by Ryther and Yentsch (1957), Parsons, et al (1984) and Eppley, et al (1985) based on the use of assimilation ratio, the intensity of photosynthesis to chlorophyll concentration, the chlorophyll a concentration, and the irradiance penetrating to ocean depths, etc. Such works show that equations can be written as P= C×Q×R/K , P t,d =P t, max {aI o, max sin 3(π/D)te -kd }/{1+aI o, max sin 3(π/D)te -kd } and ln P t =3.06+0.5ln C -0.24 T A +0.25 D L , respectively. In this paper, with the remote sensing algorithm model of the content of sea surface chlorophyll, three types of algorithm about oceanic primary productivity are introduced. By using GIS rule based on simulation technologies, a theoretical GIS estimation model written as P t=? 苮{phy(x,y,z),a,b,c} and its resolution method for the spatial oceanic primary productivity are proposed.

本文探讨了利用遥感和地理信息系统技术获取海洋初级生产力的基本原理和方法。根据表层海水叶绿素遥感信息反演模型,介绍了三种基于表层海水叶绿素浓度的海洋初级生产力算法。根据这三种算法,利用GIS建模技术,推导了具有空间特征的海洋初级生产力的GIS理论估算模型,以及这种模型的求解方法。

 
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