基于Richards方程的不同氮肥处理的旱地小麦茎秆生长的动态模拟

以实测试验数据为基础,分析旱地小麦茎秆生长的动态变化,用Richards方程描述茎秆的节间长度和粗度的动态变化过程,并以不同氮肥处理的旱地小麦对模型进行了检验。针对Richards方程参数多且参数估计复杂的问题,用粒子群优化算法进行Richards方程参数估计,将经验性和机理性有机结合。检验结果表明：茎秆的节间长度和粗度测量值与模拟值表现了很好的一致性,长度的RMSE范围为0.124～0.932,粗度的RMSE范围为0.012～0.076,模型具有很好的适用性和预测性。...

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Bibliographic Details
Published in江西农业学报 Vol. 28; no. 8; pp. 10 - 12
Main Author 逯玉兰 燕振刚 李广 王联国 董莉霞 王钧
Format Journal Article
LanguageChinese
Published 甘肃农业大学信息科学技术学院,甘肃兰州,730070%甘肃农业大学林学院,甘肃兰州730070 2016
甘肃省干旱生境作物学重点实验室,甘肃兰州730070
Subjects
Richards方程
旱地小麦
氮肥处理
粒子群优化算法
茎秆生长
Richards方程
氮肥处理
茎秆生长
粒子群优化算法
Nitrogen fertilizer treatment
Dryland wheat
旱地小麦
Stem growth
Particle swarm optimization
Richards equation
Online AccessGet full text
ISSN1001-8581
DOI10.19386/j.cnki.jxnyxb.2016.08.03

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Summary:以实测试验数据为基础,分析旱地小麦茎秆生长的动态变化,用Richards方程描述茎秆的节间长度和粗度的动态变化过程,并以不同氮肥处理的旱地小麦对模型进行了检验。针对Richards方程参数多且参数估计复杂的问题,用粒子群优化算法进行Richards方程参数估计,将经验性和机理性有机结合。检验结果表明：茎秆的节间长度和粗度测量值与模拟值表现了很好的一致性,长度的RMSE范围为0.124～0.932,粗度的RMSE范围为0.012～0.076,模型具有很好的适用性和预测性。
Bibliography:36-1124/S
Richards equation;Nitrogen fertilizer treatment;Dryland wheat;Stem growth;Particle swarm optimization
LU Yu-lan,YAN Zhen-gang,LI Guang,WANG Lian-guo,DONG Li-xia,WANG Jun（1. College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; 2. College of Forestry, Gansu Agricultural University, Lanzhou 730070, China ; 3. Gansu Provincial Key Laboratory of Aridland Crop Science, Lanzhou 730070, China）
Based on the experimental data,this paper analyzed the dynamic changes in stem growth of dryland wheat,described the dynamic change process of stem internode length and thickness by using Richards equation,and examined the model through dryland wheat which was treated with different nitrogen fertilizers. Aiming at the problems of more parameters and complex parameter estimation of Richards equation,we used the particle swarm optimization algorithm to estimate the parameters of Richards equation,which could combine the experience with the mechanism. The statistical analysis
ISSN:1001-8581
DOI:10.19386/j.cnki.jxnyxb.2016.08.03