%0 Journal Article
%T Comparison Study of Soil Pedo-Transfer Functions in Estimating Saturated Soil Hydraulic Conductivity at Tianranwenyanqu Basin<br>预测天然文岩渠流域土壤饱和导水率的土壤转换函数方法比较研究
%A LI Hui-xi
%A LIU Jian-li
%A ZHU An-ning
%A ZHANG Jun-hua
%A <br>李慧霞
%A 刘建立
%A 朱安宁
%A 张均华
%J 土壤
%D 2010
%I 
%X In this study, based on soil profile data in Tianranwenyanqu Basin, we evaluated the effect of 12 familiar pedo-transfer functions according to the fundamental soil properties to estimate the saturated soil hydraulic conductivity, and then explore the applicability of the multiple regression and BP Artificial Neural Network. The results showed that the prediction accuracy of pedo-transfer functions based BP-ANN is much better than from multiple regression, Wosten1999 based BP-ANN has the highest prediction accuracy for the surface and the bottom layers, Li2007 for the second layer, while Wosten1999 based BP-ANN is the best model without layering. Besides, we use GIS spatial interpolation to express visually the saturated soil hydraulic conductivity at different depths, which could provide basic parameters for modeling soil water movements in this region.
%K Tianranwenyanqu basin
%K Saturated soil hydraulic conductivity
%K Multiple regression analysis
%K BP artificial neural network (BP-ANN)
%K GIS<br>天然文岩渠流域
%K 饱和导水率
%K 多元回归分析
%K BP人工神经网络
%K GIS
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=03F54A49DE00578AA0E5DDF5BC021AA7&cid=1A8B5357F0EF07B8&jid=56F69E970C6E5190CDB409D28DD0E3C6&aid=E470D1A1B320875F89FA60EE9EF1BE05&yid=140ECF96957D60B2&vid=ECE8E54D6034F642&iid=38B194292C032A66&sid=BEE722AB5028E81F&eid=A48DE16C07AAAB06&journal_id=0253-9829&journal_name=土壤&referenced_num=0&reference_num=17