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空间分布模式
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  spatial distribution pattern
    ANALYSIS ON THE DYNAMICS OF SPATIAL DISTRIBUTION PATTERN OF MIXED SPIDER POPULATION IN RICE FIELD
    稻田蜘蛛混合种群空间分布模式动态分析(英文)
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    The spatial distribution pattern of mixed spider populations in rice fields was different during different development stages of rice plant.
    在水稻的不同发育阶段蜘蛛混合种群的空间分布模式存在差异。
短句来源
    During the prophase, metaphase and anaphase of early rice plant development, the spatial distribution pattern of mixed spider populations was aggregative, random and aggregative respectively.
    在早稻发育的前期、中期和后期,稻田蜘蛛混合种群的空间分布模式分别是聚集的、随机的和聚集的;
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    The results showed that since 1982,spatial distributions of exchangeable K had tended to be complex,although the spatial distribution pattern changes little during the past two decades.
    结果表明,自1982-1997-2002的20多年来,虽然速效钾在空间分布模式上变化不大,但近年来,空间分布趋于复杂化.
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  “空间分布模式”译为未确定词的双语例句
    The distributive pattern of landscape factors in surrounding region of cities could be divided into four types which include homogeneous dominative distribution,homogeneous undominative distribution,inhomogeneous dominative distribution and inhomogeneous undominative distribution based on the value of area distribution and variation function.
    据侵蚀景观因子面积分布系数和空间变差函数,可将城市周边地区各侵蚀景观因子的空间分布模式分为均匀支配型、均匀非支配型、不均匀支配型和不均匀非支配型等4种类型。
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  spatial distribution pattern
Spatial distribution pattern, scale and gap characteristics of Pinus armandii population in Qinling Mountains, China
      
Based on the data collected from 27 plots of the Pinus armandii community in Qinling Mountains, we studied the spatial distribution pattern, scale, and gap characteristics of the P.
      
This mainly depended on biological features of Larix principis-rupprechtii and forest environments, but it also meant that the scale was an important factor in controlling spatial distribution pattern of tree individuals.
      
Spatial distribution pattern of populations ofIsoetes sinensis palmer, an endangered Quillwort in China
      
Spatial distribution pattern of COD shows that it decreased downstream.
      
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According to the model of distance inverse ratio,the area distribution coefficient and one dimensional variation function of landscape factors in surrounding region of the cities have been calculated.The result shows that there has been one type(or one grade)of every landscape factor which is dominating over the area of surrounding region of each city.And,it has a little numerical value of spacial variation function which presents a type of homogeneous ditribution.The distributive pattern of landscape factors...

According to the model of distance inverse ratio,the area distribution coefficient and one dimensional variation function of landscape factors in surrounding region of the cities have been calculated.The result shows that there has been one type(or one grade)of every landscape factor which is dominating over the area of surrounding region of each city.And,it has a little numerical value of spacial variation function which presents a type of homogeneous ditribution.The distributive pattern of landscape factors in surrounding region of cities could be divided into four types which include homogeneous dominative distribution,homogeneous undominative distribution,inhomogeneous dominative distribution and inhomogeneous undominative distribution based on the value of area distribution and variation function.The distribution of landscape factors in surrounding region of most of cities of Shanxi province is belong to the homogeneous dominative type.

根据距离反比模型,对山西省20个城市周边地区侵蚀景观因子面积分布系数和空间分布变差函数进行了计算。结果表明,在大多数城市周边地区,各侵蚀景观因子都有一种类型(或级别),其面积分布系数较大,居支配地位。同时,各侵蚀景观因子在城市周边地区分布相对比较均匀,一维变差函数值较小。据侵蚀景观因子面积分布系数和空间变差函数,可将城市周边地区各侵蚀景观因子的空间分布模式分为均匀支配型、均匀非支配型、不均匀支配型和不均匀非支配型等4种类型。山西省建制市周边地区侵蚀景观因子空间分布以均匀支配型居多

Soil samples representing various soil horizons (A, B, and C) were collected from 349 sites in Inner Mongolia Autonomous Region and the total contents of 10 trace elements, namely copper, lead, zinc, cadmium, nickel, chromium, mercury, cobalt, vanadium and manganese were measured with atomic adsorption spectrophotometry. Preliminary data analysis showed that the concentration of each element conforms to logarithmic normal distribution, therefore, logarithmic transformation was performed in order to reduce the...

Soil samples representing various soil horizons (A, B, and C) were collected from 349 sites in Inner Mongolia Autonomous Region and the total contents of 10 trace elements, namely copper, lead, zinc, cadmium, nickel, chromium, mercury, cobalt, vanadium and manganese were measured with atomic adsorption spectrophotometry. Preliminary data analysis showed that the concentration of each element conforms to logarithmic normal distribution, therefore, logarithmic transformation was performed in order to reduce the possible scale effect. Factorial Kriging Analysis (FKA) was then applied to analyze the spatial correlation pattern among various trace element contents. As Principal Component Analysis (PCA) showed that the primary two components account for the main source of variance, a series of rotation methods have been used and spatial correlation patterns of these two primary factors under different rotation schemes were compared with respect to spatial orthogonality. Since rotations increased significantly the spatial dependency between the two components in this case, the principal components without any rotation were deployed as the basis of FKA. It is further demonstrated by computing and comparing partial β values that parent materials and soil class are the primary factors controlling the concentrations and spatial distribution patterns of the trace elements in the soils of the studied area. The variogram of the primary factor, which mainly represents the effect of parent materials, consists of nugget effect and two spherical models with ranges of 200 and 400 km, respectively. A linear model with a 1 000 odd km range and nugget effect, on the other hand, constitutes the variogram model of the second component, which can be referred to as the representative of soil class. Based on the variogram model of the principal components, the variogram of the content of each element is therefore modeled by manual coefficient adjustment under the constraint of Schwarz inequality. Although the influence of the principal factors varies among the spatial distribution patterns of different elements, viewed from a comprehensive perspective and compared with the effect of parent materials, the role of soil class is much weaker. The variograms of the contents of one element in different soil horizons share the same primary pattern, while there exists such a trend that the influence of parent materials is increasing from top to bottom soil. Under the assumption that the theoretical covariance between experimental errors of different elements is zero, by checking carefully the coefficient matrix, it was concluded that the nugget effect in the variogram models of most of the trace elements was mainly composed of small range variation except for lead, cadmium and mercury. The effect of experimental errors of the latter three elements seems to be much more noticeable. Spatial correlation analysis was preformed to examine the relative correlation among the trace elements at various scales defined by the variogram models of principal factors. The result demonstrates that the concentrations of copper, zinc, nickel, chromium, cobalt, vanadium and manganese showed significant positive correlation, while lead, cadmium and mercury are more or less independent. This spatial correlation did not show any significant variations from top to bottom soil, or from small to large scale. Considering the fact that the parent material is the primary influencing factor of soil trace element contents for our case, the ion radii of each trace element were examined and compared with each other. As the radii of mercury, lead and cadmium are remarkably larger than those of the other elements, isomorphism during the endogenic action, which is controlled by the radius of ion of the trace elements, provides the most possible interpretation.

用因子克里格法分析了内蒙地区土壤中 1 0种微量元素含量的空间结构特征。结果显示 ,母质和以土类为代表的表生地球化学作用是影响内蒙土壤中微量元素含量空间分布模式的主要因素。母质因子的空间变异尺度较小 ,而表生地球化学作用因子则具有较大变异尺度。整体而言 ,母质的影响强于表生地球化学作用。内蒙土壤中微量元素含量在不同空间尺度具有较为一致的相关特征。取决于离子半径的类质同象作用是形成特定相关特征的重要原因

By employing GIS, VB6 0 and 1km×1km DEM of northeast of China ,1km×1km databases in aspects of longitude、latitude、altitude、slope were established. Using climate data from 1960 to 1990, monthly and annual data of total radiation, direct radiation, PAR and effective radiation of earth surface of 189 station in northeast of China was calculated. 1km×1km monthly surface albedo of Liaoning province from May to August in 1992 was calculated using NOAA AVHRR Data dealt by the Polar orbit satellite data processing...

By employing GIS, VB6 0 and 1km×1km DEM of northeast of China ,1km×1km databases in aspects of longitude、latitude、altitude、slope were established. Using climate data from 1960 to 1990, monthly and annual data of total radiation, direct radiation, PAR and effective radiation of earth surface of 189 station in northeast of China was calculated. 1km×1km monthly surface albedo of Liaoning province from May to August in 1992 was calculated using NOAA AVHRR Data dealt by the Polar orbit satellite data processing software and VB6 0. On the base of the work, the spatial distribution model for each province of northeast of China was established in terms of different geographical dimensions as longitude, latitude and altitude. The influence of slope and aspect to total radiation and PAR was analyzed in empirical and theoretical perspectives. Finally, the grid information system of radiation resource in northeast of China was established.

借助GIS平台和DEM数据 ,生成东北地区 1km× 1km经度、纬度、海拔高度、坡度、坡向数据库。利用 1960年~ 1990年累年月平均气候资料 ,采用气候学方法计算了东北地区 189个气象台站总辐射、直接辐射、PAR和地表有效辐射的月值和年值 ;并用极轨气象卫星资料处理软件和VB6 0语言处理了 1992年辽宁省 5月~ 8月的NOAAAVHRR数据 ,得到了辽宁省 5月~ 8月月均 1km× 1km网格的地面反射率数据。在此基础上 ,分省建立了各种辐射值与宏观地理因子 (经度、纬度、海拔高度 )的三维二次空间分布模式。半理论半经验地定量分析了坡度坡向对总辐射和PAR的影响 ,最终建立了东北地区辐射资源栅格化信息系统。

 
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