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首页> 外文期刊>International journal of soil science >Spatial variability of macronutrient for soil fertilization management: a case study on Urmia plain.
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Spatial variability of macronutrient for soil fertilization management: a case study on Urmia plain.

机译：土壤肥力管理中大量养分的空间变异性-以乌尔米亚平原为例。

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摘要

This research was conducted to study spatial distribution of soil nutrients including nitrogen, phosphorus and potassium and to compare the efficacy of various geo statistical approaches in the estimation of these nutrients and the preparation of spatial variability maps of these elements aimed to righteous management of fertilizers in Urmia plain, West Azerbaijan Province, Iran. To estimate the rates of soil nutrients including nitrogen, phosphorus and potassium of non-sampled areas, the Kriging, Co-kriging and Weighted Moving Average methods were used in a GIS system, instead. To compare these methods, cross-validation method with two statistical parameters Mean Absolute Error and Mean Bias Error were applied. Present studies implied that Kriging method has the least MAE of 0.450 and MBE of 0.025. This method with correlation coefficient of 0.99% and Gaussian semi variogram was of high preciseness in the estimation of nutrient rates in the points with no former information available. The estimation error in this method ranged between 0.18 and 0.75 and its deviation was between -0.002 to 0.12 meq/100 g of soil.
机译：进行这项研究是为了研究土壤养分（包括氮，磷和钾）的空间分布，并比较各种地理统计方法在估算这些养分和制备这些元素的空间变异图（旨在合理管理肥料）中的功效。伊朗西阿塞拜疆省乌尔米亚平原。为了估算非采样区域的土壤养分（包括氮，磷和钾）的比率，在GIS系统中使用了Kriging，Co-kriging和加权移动平均法。为了比较这些方法，使用了具有两个统计参数平均绝对误差和平均偏差误差的交叉验证方法。目前的研究表明，克里格方法具有最低的MAE为0.450和MBE为0.025。该方法的相关系数为0.99％，且具有高斯半变异函数，在估计点的养分率方面具有很高的精确度，而以前没有可用的信息。该方法的估计误差在0.18至0.75之间，其偏差在-0.002至0.12 meq / 100 g土壤之间。

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