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Study on the spatial distribution of the content of potassium in the upper stream of the Hunhe River basin, Northeastern China

机译:东北浑河流域上游钾含量的空间分布研究

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Continuous soil nutrient data is the basic data of soil information system, soil nutrient spatial interpolation study becomes very important because it can affect the data reliability of soil nutrient data straightly. Kriging was used for analysing the spatial variability of soil K content in the upper stream of the Hunhe River basin, Liaoning Province which covers 53% of the total area of Qingyuan County, by employing geostatistical methods and GIS technique. The topsoil samples were collected at 217 locations in cropland or forest land. The results show that soil total K and available K are strongly spatially dependent, followed a normal distribution, with an arithmetic mean of 1.83%, 88.00 mg/kg and median of 1.82%, 79.52 mg/kg. Semivariograms showes that both the soil total K and available contents had strong spatial dependency, which might be attributed to intrinsic and extrinsic factors. The soil available K contents were the highest in secondary forest soils and lowest in non-irrigated farmland soils. The experimental variogram of soil K content has been fitted with an exponential model. Map of the soil K content was generated through interpolation of measured values by ordinary kriging.
机译:连续的土壤养分数据是土壤信息系统的基础数据,土壤养分空间插值研究由于会直接影响土壤养分数据的数据可靠性而变得非常重要。利用地统计学方法和GIS技术,采用克里格法对辽宁省浑河流域上游庆康县总面积53%的土壤钾含量的空间变异性进行了分析。表土样品采集自农田或林地的217个地点。结果表明,土壤总钾和速效钾在空间上具有高度依赖性,服从正态分布,算术平均值为1.83%,88.00 mg / kg,中位数为1.82%,79.52 mg / kg。半变异函数表明,土壤总钾和有效含量都具有很强的空间依赖性,这可能归因于内在和外在因素。土壤有效钾含量在次生森林土壤中最高,而在非灌溉农田土壤中最低。土壤钾含量的实验变异函数已与指数模型拟合。通过常规克里金法对测量值进行插值来生成土壤钾含量图。

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