摘要
针对目前果树水分亏缺状况难以迅速准确地监测与预报的问题,以冠气温差理论模型为基础,建立以冠气温差为指标的枣树根区土壤水分预报模型,采用回归分析法分析土壤相对含水量与冠气温差及气象因子间的关系,对模型进行具体化,并对模型可靠性进行分析。结果表明:晴天日14:00时枣树冠气温差与根区土壤水分关系最为显著(P <0. 01);采用完全预报模型可以较为准确得到枣树根区土壤水分状况(MRE≤6%);采用概化预报模型可以在一定误差范围内(MRE≤10%)预报枣树根区土壤水分状况;枣树生长期内冠气温差高于阈值,表明枣树需要灌溉,否则不需要灌溉。基于冠气温差的枣树根区土壤水分预报模型能够有效的诊断枣树水分亏缺状况,为枣树的科学灌溉提供指导。
It is difficult to monitor and predict the fruiter water deficit quickly and accurately at present. A model for predicting soil moisture in root region of jujube was established with canopy-air temperature differential as the indictor,which was based on the theoretical model of canopy-air temperature differential.Regression analysis was used to analyze the relationship between relative water content of soil,canopy-air temperature differential and meteorological factors,which made the model become more specific. Furthermore,the reliability of the model was analyzed.The results showed that the relationship between canopy-air temperature differential and the soil moisture in the root zone of jujube was the most significant (P <0.01)at 14:00on sunny days.The soil moisture condition of jujube root area could be obtained more accurately by using the complete predicting model (average relative error MRE ≤6%).The generalized predicting model could be used to predict soil moisture in jujube root region within a certain error range (average relative error MRE ≤10%).The canopy-air temperature differential was higher than the threshold value in jujube tree growth period,indicating that the jujube needed irrigation,otherwise irrigation is not needed.The model for predicting soil moisture in root region of jujube based on canopy-air temperature differential can diagnose jujube water deficit effectively and provide guidance for scientific irrigation of jujube.
作者
王东豪
张江辉
白云岗
刘洪波
WANG Donghao;ZHANG Jianghui;BAI Yungang;LIU Hongbo(College of Hydraulic and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Institute of Water Resources and Hydropower Research,Urumqi 830049,China)
出处
《水资源与水工程学报》
CSCD
2018年第5期255-260,共6页
Journal of Water Resources and Water Engineering
基金
"十三五"国家重点研发计划项目(2016YFC0400208)
关键词
冠气温差
枣树根区
土壤水分预报
回归分析法
canopy-air temperature differential
jujube root region
soil moisture predicting
regression analysis method
