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The precision variability study of wheat yield in Xiaoqing River drainage area

机译:小清河流域小麦产量精度变异性研究。

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This paper took the wheat field of alluvial soil in Xiaoqing River drainage area as the research site, aimed to the spatial pattern of wheat yield. With the help of DGPS, 104 observing points were made in a wheat field approximate 3hm2 located in Xiaoqing River drainage area in Jinan of Shandong province in 2007. Geostatistics combined with geographical information system (GIS) was applied to reveal the spatial variability of wheat yield. Research results indicated the average wheat yield was 4739.1kg/ha, the high value was 6450.8kg/ha, the low value was 2016.3kg/ha. Model prediction were employed in this paper, the range, nugget and sill were calculated, Semivariogram model of wheat yield was established, the interpolation methods were decided, the optimal interpolation by ordinary Kriging was selected, and the spatial distributing map of wheat yield was drawn. It is shown that the semivariogram structure of wheat yield was spherical, the Nugget/sill of it was 0.623 and belonged to middle intensity, there is high wheat yield in the southeast and south of the field, the spatial correlation distance of wheat yield was 171.62m, a geostatistical analysis indicated that random factors(irrigation status, fertilizer utilization, environmental pollution, cultivation measures, management etc.) were the main factors of the spatial correlations of wheat yield, the ratio is 62.3% .
机译:本文以小清河流域冲积土麦田为研究对象,针对小麦单产的空间格局进行了研究。 2007年,在DGPS的帮助下,对山东济南小清河流域一块3hm 2 麦田进行了104个观测点。揭示小麦产量的空间变异性。研究结果表明,小麦平均单产为4739.1kg / ha,最高值为6450.8kg / ha,最低值为2016.3kg / ha。本文采用模型预测方法,计算了范围,块金和基石,建立了小麦单产的半变异函数模型,确定了插值方法,选择了普通克里格法进行最优插值,绘制了小麦单产的空间分布图。 。结果表明,小麦单产的半变异函数结构为球形,其块金/基石为0.623,属于中等强度,在田间东南部和南部均具有较高的小麦产量,小麦产量的空间相关距离为171.62。 m的地统计学分析表明,随机因素(灌溉状况,肥料利用率,环境污染,耕作措施,管理等)是影响小麦产量空间相关性的主要因素,比例为62.3%。

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