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首页> 外文期刊>Journal of the American Water Resources Association >SPATIAL CLUSTERS OF SUBSURFACE DRAINAGE WATER NO_3-N LEACHING LOSSES
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SPATIAL CLUSTERS OF SUBSURFACE DRAINAGE WATER NO_3-N LEACHING LOSSES

机译:地下排水NO_3-N淋失损失的空间聚类

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摘要

Grouping of nitrate-nitrogen (NO_3-N) leaching losses from agricultural fields into spatial clusters can help determine the cause/effect relationships for their occurrence. This study was designed to investigate the spatial relationships of low, medium, and high NO_3-N leaching losses clusters with soil and landscape attributes using cluster and discriminant analysis and the map overlay capability of a geographical information system (GIS). Field measured data of a six-year (1993 through 1998) study on NO_3-N leaching losses from 36 experimental fields at the Iowa State University's northeastern research center near Nashua, Iowa, were normalized on an annual basis to compare over the years. The cluster analysis resulted in the formation of three clusters based on the satisfactory evaluation criteria of pseudo-F statistic, cubic clustering criterion, and R~2 values. The discriminant analysis, carried out on the basis of clusters, identified elevation and subsurface drainage as the factors that contributed significantly (p < 0.01) in discriminating among these clusters. The verification of discriminant functions developed on these factors predicted the cluster membership for all the groups with an overall accuracy of 86 percent. The map overlay analyses of GIS showed that spatial occurrence of the clusters transporting high NO_3-N leaching losses was affected by the interaction of soil type and elevation levels.
机译:将农田中硝酸盐-氮(NO_3-N)的淋失损失分组为空间簇可以帮助确定其发生的因果关系。本研究旨在利用聚类和判别分析以及地理信息系统(GIS)的地图覆盖功能,研究具有土壤和景观属性的低,中和高NO_3-N淋失损失类聚类的空间关系。对爱荷华州立大学东北研究中心附近的爱荷华州立大学东北研究中心的36个实验田进行了为期六年(1993年至1998年)NO_3-N淋失损失研究的实地测量数据,并每年对其进行标准化,以进行多年比较。聚类分析基于伪F统计的令人满意的评估标准,三次聚类标准和R〜2值形成了三个聚类。在聚类的基础上进行的判别分析将高程和地下排水确定为在区分这些聚类中的重要因素(p <0.01)。根据这些因素开发的判别函数的验证预测了所有组的集群成员身份,总体准确性为86%。 GIS的地图叠加分析表明,土壤类型与海拔高度的相互作用会影响高NO_3-N淋溶损失的类群的空间分布。

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