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SPATIAL CLUSTERS OF SUBSURFACE DRAINAGE WATER NO 3 ‐N LEACHING LOSSES 1
Author(s) -
Bakhsh Allah,
Kanwar Ramesh S.
Publication year - 2005
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.2005.tb03739.x
Subject(s) - leaching (pedology) , environmental science , drainage , discriminant , linear discriminant analysis , elevation (ballistics) , cluster (spacecraft) , cluster analysis , soil water , principal component analysis , hydrology (agriculture) , soil science , mathematics , geology , statistics , geotechnical engineering , ecology , computer science , biology , programming language , geometry , artificial intelligence
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.