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长时间序列
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    The vegetation cover changes in China since 1998 to 2002 are assessed with Normalized Difference Vegetation Index(NDVI) data.
    以长时间序列VGT-NDVI为数据源,利用年内变异系数与年份回归分析的方法对1998-2002年间的中国陆地植被NDVI的变化情况进行了分析.
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Based on the research of applying Soil and Water Assessment Tool(SWAT),a distributed\|parameter model for non\|point sources(NPS),in Luxi Watershed,the output of the hydrologic module of continuous simulation model for NPS is discussed.The results suggested that SWAT could well describe the long\|time hydrologic process.Generally speaking,the output of the model fits the measured data better when the time step is longer,and the systematical fault is found in daily runoff simulation.This is due to the inherit...

Based on the research of applying Soil and Water Assessment Tool(SWAT),a distributed\|parameter model for non\|point sources(NPS),in Luxi Watershed,the output of the hydrologic module of continuous simulation model for NPS is discussed.The results suggested that SWAT could well describe the long\|time hydrologic process.Generally speaking,the output of the model fits the measured data better when the time step is longer,and the systematical fault is found in daily runoff simulation.This is due to the inherit characteristics of the model and the time precision of the inputs.

结合分散参数非点源模型SWAT在芦溪小流域的应用,讨论了连续模拟非点源模型水文模块的计算结果。由讨论结果来看,SWAT能够有效地模拟长时间序列的水文过程。一般来说,长期径流量模拟准确,短期径流量的结果较差,尤其是对日径流量的模拟存在着系统性的误差,这主要是由模型的内部结构和数据的时间精度决定的。

The vegetation cover changes in China since 1998 to 2002 are assessed with Normalized Difference Vegetation Index(NDVI) data. The framework for the analysis is the use of the coefficient of variation (COV) of the decadal NDVI as a measurement of vegetative biomass change. A higher NDVI COV for a given pixel represents a greater change in vegetation biomass in the ground area represented by that pixel. A linear regression is used to determine the trend of COV value for each pixel over the 5 years. The slope of...

The vegetation cover changes in China since 1998 to 2002 are assessed with Normalized Difference Vegetation Index(NDVI) data. The framework for the analysis is the use of the coefficient of variation (COV) of the decadal NDVI as a measurement of vegetative biomass change. A higher NDVI COV for a given pixel represents a greater change in vegetation biomass in the ground area represented by that pixel. A linear regression is used to determine the trend of COV value for each pixel over the 5 years. The slope of the linear regression is 0. 78. Results show that vegetation ecosystems in China are undergoing accelerated change due to natural and anthropogenic disturbances since 1998. Changes of Western in China are much more than Eastern,and there are the increase trends in the North area over 5 years.

长时间序列VGT-NDVI为数据源,利用年内变异系数与年份回归分析的方法对1998-2002年间的中国陆地植被NDVI的变化情况进行了分析.中国大部分地区线性回归相关性显著,整体相关系数为O.78.研究结果表明,在这五年间,中国北方的植被覆盖呈增加状态,而南部地区的植被覆盖情况则有明显的减少趋势.总体来讲,中国的西部变动情况大于东部,并且西北呈增加趋势,西南则呈减少趋势.

As an important part of the wetland ecosystem,the wetland vegetation biomass is a key index to weigh the healthiness of the wetland ecosystem.The traditional measuring method and estimating method by remote sensing are reviewed in detail.In the traditional method,several parameters are measured by quadrates.The humid total biomass (HTB) is obtained by the harvest method,and the dry total biomass (DTB) is obtained by the standard drying method.Biomass measurement of wetland vegetation is correlated over growing...

As an important part of the wetland ecosystem,the wetland vegetation biomass is a key index to weigh the healthiness of the wetland ecosystem.The traditional measuring method and estimating method by remote sensing are reviewed in detail.In the traditional method,several parameters are measured by quadrates.The humid total biomass (HTB) is obtained by the harvest method,and the dry total biomass (DTB) is obtained by the standard drying method.Biomass measurement of wetland vegetation is correlated over growing season to vegetation indices derived from some bands of the remote sensing imagery.However,the typical quadrates investigation and GPS orientation are indispensable.Based on the two methods and long time serial data,the equation for biomass can be established.According to the characteristics of the wetland vegetation biomass,using remote sensing technique associated with the traditional method will be a trend.Using 3S technique to study wetland vegetation biomass can monitor the dynamic change of wetland in real time and provide scientific decision-making supporting for wetland protection.

湿地植被生物量是衡量湿地生态系统健康状况的重要指标。传统的生物量测算方法主要是通过样方调查 ,采取收割法等方法 ;遥感估算法是借助遥感影像某些波段对湿地植被的灵敏反应 ,再配合典型的样地调查和GPS定位进行。在这两类方法的基础上 ,均可依据长时间序列的基础资料 (实测资料、影像资料等 ) ,建立生物量的计算公式 ,以便进行类比或预测。笔者在查阅国内外相关文献的基础上 ,论述了湿地生物量测算方法的研究进展。将传统典型样方调查及实验室分析与遥感估算技术 (分光学遥感和雷达遥感 )不断融合 ,不仅可以及时掌控湿地生态系统的动态变化 ,而且为湿地生态系统生态资产的定量测算提供重要参数 ,并为湿地生态系统的恢复、重建以及管理提供科学依据

 
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