基于迭代思想的水分时域反射仪(TDR)参数标定  

Parameters Calibration of Time Domain Reflectometry(TDR) Based on Iterative Algorithm

作　　者：刘云霞[1,2] 高鹏程[1] 雷文娟[2] 关卓[2] 唐翔宇[2] 

机构地区：[1]西北农林科技大学资源与环境学院,陕西杨凌712100 [2]中国科学院/水利部成都山地灾害与环境研究所,成都610041

出　　处：《灌溉排水学报》2015年第5期79-84,共6页Journal of Irrigation and Drainage

基　　金：国家自然科学基金项目(41171372);国家青年科学基金项目(21307152)

摘　　要：以烘干法测定的含水率标定Topp公式4个参数的初始值,再通过"拟合参数-实验校正"过程对Topp公式的4个参数进行二次迭代修正。结果表明,1迭代过程是一个模型参数优化的过程,表现为模型的赤池信息量准则(AIC)随迭代次数的增加而减小,而模型拟合的相关系数随着迭代次数的增加逐渐趋近于1;2TDR的测量数据误差随着迭代次数的增加而减小,一次迭代后误差平均为8.10%,二次迭代后降为5.05%。The iterative thinking was used to calibrate the parameters of time domain reflectometry （TDR）, in which the initial four parameters of Topp equation were determined by the water content observed by drying method and then four parameters were amended through the ＂fitting parameters-experimental calibration＂ procedure based on iterative algorithm. The results showed that： （1）The iterative process was an parameter optimization process for Topp model, which was demonstrated by that Akaike Information Criterion （AIC） decreased with the increase of the number of iterations, and correlation coefficient of model fitting increased gradually to 1; （2）Error of TDR decreased sharply with the increase of iteration numbers, which was 8.10% and 5.05% after the first and the second iteration respectively.

关 键 词：TDR 参数标定 迭代思路 Topp公式 

分 类 号：S152.7[农业科学—土壤学]