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antecedent precipitation index
相关语句
  前期降水指数
     Secondly, based on antecedent precipitation index method and the water equilibrium theory to set up prediction model of soil humidity, and to simulate and predict of soil humidity in no data station of climatic humid zone, the feasibility is discussed.
     其次,利用前期降水指数法(API)并结合水量平衡方程提出土壤湿度的一种初始化方案,将所建模型用于湿润气候区无资料站点的土壤湿度插补与预报试验,证明其应用的可行性非常好,拟合和预报本站土壤湿度的精度可达90%以上,拟合邻近站点的精度也可达85%以上。 同样,拟合土壤湿度的PDF试验结果表明,以β分布拟合效果最好,其检验方法同前。
短句来源
  “antecedent precipitation index”译为未确定词的双语例句
     A Nonlinear Perturbation Model Based on Artificial Neural Network and Considering the Antecedent Precipitation Index
     考虑前期影响雨量的NLPM-AMN模型
短句来源
  相似匹配句对
     index;
     指标;
短句来源
     Index
     索引
短句来源
     International Comparison of Economic Antecedent Index
     经济先行性指标的国际比较及借鉴
短句来源
     A Nonlinear Perturbation Model Based on Artificial Neural Network and Considering the Antecedent Precipitation Index
     考虑前期影响雨量的NLPM-AMN模型
短句来源
     STUDY ON PRECIPITATION-BASED DROUGHT INDEX OF CHINA
     基于降水资料的中国旱涝指标研究
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  antecedent precipitation index
Relationship between satellite microwave diometric data, antecedent precipitation index, and regional soil moisture.
      
Relationship between satellite microwave radiometric data, antecedent precipitation index, and regional soil moisture.
      


The retation between the potential and the actual rate of infiltration through the soil in a basin has been approached. And an initial try at transforming one's infiltration volumes into another' s has been made by a mathematical hyperbolic model. It has been indicated obviously that in general case such transformed potential infiltration volume of the rainstormdropping on water sheds varies usually relatively to the covering condition of water basins,the durations of rainfalls or the antecedent precipitation...

The retation between the potential and the actual rate of infiltration through the soil in a basin has been approached. And an initial try at transforming one's infiltration volumes into another' s has been made by a mathematical hyperbolic model. It has been indicated obviously that in general case such transformed potential infiltration volume of the rainstormdropping on water sheds varies usually relatively to the covering condition of water basins,the durations of rainfalls or the antecedent precipitation indexes. The features of this relation are similar or even perfectly same to that of the formulas established on the theory of soil moisture dynamics. This proves that such hyperbolic model is effectual for computation of yield-water, and provides a good condition for generalization of its parameters.

本文探讨了流域土壤入渗能力与实际入渗率之间的关系。同时,以双曲模型为数学工具,进行了将实际的入渗量与可能的入渗量互相转换的初步尝试。结果表明,经过这样的转换所获得一般河流的流域上各次暴雨的可能入渗量,与流域的下垫面条件、降雨历时或表征雨前土壤初始含水量的前期降雨指数,关系相当明显;而且这种关系的特征与建立在土壤水动力学理论基础上的一些计算公式的特征,几乎完全一致。这就证明双曲模型用之于产流计算是可行的;并为产流参数的地区综合创造了条件。

A nonlinear perturbation model(NLPM) based on Artificial Neural Network(ANN) and considering the antecedent precipitation index(API) is proposed and developed.The model structure is similar to the NLPM-API model.The difference is that the ANN is adopted to simulate the relationship between the input perturbing terms and the output perturbing terms.The daily rainfall-runoff data from the Mumahe and Nianyushan reservoir basins is selected to test the model.The proposed model is compared with the LPM,NLPM-AMN...

A nonlinear perturbation model(NLPM) based on Artificial Neural Network(ANN) and considering the antecedent precipitation index(API) is proposed and developed.The model structure is similar to the NLPM-API model.The difference is that the ANN is adopted to simulate the relationship between the input perturbing terms and the output perturbing terms.The daily rainfall-runoff data from the Mumahe and Nianyushan reservoir basins is selected to test the model.The proposed model is compared with the LPM,NLPM-AMN and NLPM-API models,the model efficiencies in these two basins are increased 10.84%,1.54%,10.6% and 21.59%,0.67%,10.11% during calibration period;5.56%,0.97%,4.41% and 11.86%,1.76%,7.97% during verification period,respectively.All other assessment indexes are also superior to other models.

建立了一种考虑前期影响雨量和采用人工神经网络的非线性扰动模型。模型结构与NLPM-API模型相似,不同之处在于采用人工神经网络模拟输入扰动项与输出扰动项之间的相互关系。采用牧马河和鲇鱼山水库流域的日降雨径流资料对模型进行了率定和校核。结果表明,所建模型与线性扰动模型、NLPM-AMN模型和NLPM-API模型相比,两个流域在率定期的模型效率系数增长幅度分别为10.84%,1.54%,10.6%和21.59%,0.67%,10.11%;在检验期的模型效率系数增长幅度分别为5.56%,0.97%,4.41%和11.86%,1.76%,7.97%。所有的评价指标均优于其他模型。

 
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