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首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >Spatial Interpolation of Annual Rainfall in the State Mato Grosso Do Sul (Brazil) Using Different Transitive Theoretical Mathematical Models
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Spatial Interpolation of Annual Rainfall in the State Mato Grosso Do Sul (Brazil) Using Different Transitive Theoretical Mathematical Models

机译：使用不同的传递理论数学模型对巴西南马托格罗索州的年度降雨量进行空间插值

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Based on the interpolation method ordinary kriging, it was compared the spherical, exponential, Gaussian and circular models that best fits in the spatial distribution of mean annual precipitation for the state of Mato Grosso do Sul (MS). The rainfall data from 32 sites were obtained from the database of the National Water Agency - ANA, in the period 1954-2013. The variographic parameters evaluated were nugget effect, level and reach. From these, were calculated the Index of Spatial Dependence. The criteria used to choose the best transitive theoretical mathematical model were the root of the root mean square error (RMSE), Pearson‟s correlation coefficient (d), mean absolute error (EMA) and mean error percentage (EMP), index of agreement (d) and coefficient of determination (R²). The transitive theoretical mathematical models circular, spherical and Gaussian and can be used with satisfactory performance for data interpolation of annual rainfall in State of Mato Grosso do Sul.
机译：基于普通克里金插值方法，比较了最适合南马托格罗索州（MS）年平均降水量空间分布的球形，指数，高斯和圆形模型。从1954-2013年期间，美国国家水务局（ANA）的数据库中获得了32个站点的降雨数据。评估的变异参数为矿块效应，水平和范围。从这些，计算出空间依赖性指数。选择最佳传递理论数学模型的标准是均方根误差（RMSE）的根，Pearson相关系数（d），平均绝对误差（EMA）和平均误差百分比（EMP），一致性指数（d）和测定系数（R 2）。过渡理论数学模型是圆形，球形和高斯型，可以令人满意地用于南马托格罗索州的年降水量数据插值。

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