Partition of soil moisture profiles based on sequential clustering method
Feng Jiao · Journal of Northwest A&F University · 2011
【Objective】 The research was conducted to study the application of sequential clustering method in the vertical profiles of soil moisture classification.【Method】 In the hilly Loess Plateau of Ansai Shaanxi,the research object was 4 land-use types such as tree land,shrub land,orchard and grassland land use types.The soil water profile of 4 land-use types was classified by the orderly clustering method according to the water content of 0-500 cm(every 20 cm for 1 layer,altogether 25 layer).【Result】 When K values cannot be predicted from the angle of profession,it can be fixed by the stone graph.As a result,through all the samples and stone map,it is known that when K=4,there is an optimal ordered partition.According to various land use types,the overall vertical soil moisture profile in this area can be divided into 4 types:weak moisture utilizing layer,root concentration layer,strong water consumption layer,and moisture regulating layer.Meanwhile,the middle two layers can be merged into a layer of moisture utilizing.【Conclusion】 Based on the orderly clustering method the result of soil moisture profile distribution fits for Loess Plateau area.So the hierarchical method is reasonable.