农业机械学报2012，Vol.43Issue(11)：45-50,6.DOI:10.6041/j.issn.1000-1298.2012.11.010
多数据源土壤传递函数模型在水分模拟中的不确定性
Soil Pedotransfer Function of Multiple Data Source and Its Uncertainty in Water Simulation
摘要
Abstract
Pedotransfer function was established to predict soil water retention curve by using the feed-forward neural networks methods. The prediction performance and application uncertainty of pedotransfer function were analyzed according to the error statistics index and Hydrus-1D water dynamics model. The results showed that mean absolute error value of θ1000, θ10000, θ15000 ( soil water retention θ1000,θ10000 , θ15000 at soil water suction equal to 1 000 cm, 10 000 cm and 15 000 cm, respectively) using pedotransfer functions with particle size distribution, bulk density, θ60 as predictor was 42. 86% ,23. 87% and 26. 15% lower than the value of PTF1 using particle size distribution as predictor. Mean absolute error of θ100 , θ10000 , θ15000 using pedotransfer function which added θ15000 as predictor was 8. 67% ,16. 96% and 15. 95% lower than pedotransfer function using θ60 ( soil water θ60 at soil water suction equal to 60 cm) as predictor. The parameters of van Genuchten equation were predicted using pedotransfer function were used to simulate soil water, the MAE value of PTF using θ60 as predictor was 11. 11% lower than PTF using particle size distribution as predictor. Therefore, adding additional θ15000 cannot reduce the uncertainty of pedotransfer function application comparing with the pedotransfer function using particle size, bulk density θ60 as predictor.关键词
土壤传递函数/数据源/不确定性/土壤水分特征曲线Key words
Pedotransfer function / Data resource/ Uncertainty/ Soil water retention curve分类
农业科技引用本文复制引用
王改改,张玉龙,虞娜..多数据源土壤传递函数模型在水分模拟中的不确定性[J].农业机械学报,2012,43(11):45-50,6.基金项目
国家重点基础研究发展计划(973计划)资助项目(2011CB100502) （973计划）
