ISAREG模型在灌区土壤墒情预报中的应用研究
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摘要
土壤墒情预报是农田土壤水分调控的基础和前提。针对当前灌区土壤墒情监测工作量大且预报精度不高的问题,采用数值模拟和农田实测数据相结合的方法,应用以水量平衡法为基本原理的ISAREG灌溉模型进行灌区土壤墒情预报,并利用内蒙古河套灌区沙区灌溉试验站的大田实测数据对ISAREG模型的模拟精度进行验证,结果表明:ISAREG模型能较好地模拟作物土壤含水率的动态变化,模型输出的模拟值与实测值对比,回归系数约为1.02,决定系数在0.6以上,误差在10%以内,表明该模型参数经过校准和验证后,可以用来进行土壤墒情预报。该模型还具有识别作物是否处于水分胁迫状态,并对作物灌溉制度进行评价和优化的功能,可进行灌区灌溉预报。
The soil moisture forecast is the basis and premise of farmland soil moisture control. In order to solve the problem of heavy workload of soil moisture monitoring and forecasting and its low accuracy,this article combined the numerical simulation and the measured data,applied ISAREG model based on water balance of farmland and used the observed field data of irrigation experimental station in Hetao irrigated area of Inner Mongolia to forecast the soil moisture. The results show that the ISAREG model can simulate the dynamic change of soil moisture content very well,regression coefficient of comparing simulation value and measured values is about 1.02,decision factor above 0.6 and the error is within 10%. Therefore,ISAREG can be used for prediction of soil moisture after calibration and verification show that the model parameters,moreover,the model is able to recognize whether crop is under water stress,and to evaluate crop irrigation system and optimization function of irrigation. It is very recommended that all data relative to the model should be monitored to improve accuracy in forecasting soil moisture,and to instruct the management in irrigation district.
The soil moisture forecast is the basis and premise of farmland soil moisture control. In order to solve the problem of heavy workload of soil moisture monitoring and forecasting and its low accuracy,this article combined the numerical simulation and the measured data,applied ISAREG model based on water balance of farmland and used the observed field data of irrigation experimental station in Hetao irrigated area of Inner Mongolia to forecast the soil moisture. The results show that the ISAREG model can simulate the dynamic change of soil moisture content very well,regression coefficient of comparing simulation value and measured values is about 1.02,decision factor above 0.6 and the error is within 10%. Therefore,ISAREG can be used for prediction of soil moisture after calibration and verification show that the model parameters,moreover,the model is able to recognize whether crop is under water stress,and to evaluate crop irrigation system and optimization function of irrigation. It is very recommended that all data relative to the model should be monitored to improve accuracy in forecasting soil moisture,and to instruct the management in irrigation district.
引文
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[6]王小兵,崔伟敏.基于经验模型的膜下滴灌棉田土壤墒情预报[J].人民黄河,2010,32(11):84-86.
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[10]尚松浩,毛晓敏,雷志栋,等.冬小麦田间墒情预报的BP神经网络模型[J].水利学报,2002,33(4):60-63.
[11]裴步祥,毛飞,吕厚荃.我国北方春季土壤水分动态模拟预报模式的实验研究[J].北京农业大学学报,1990,16(增刊):116-122.
[12]粟容前,康绍忠,贾云茂.农田土壤墒情预报研究现状及不同预报方法的对比分析[J].干旱地区农业研究,2005,23(6):194-199.
[13]王美多,何洪升,韩丽霞.墒情监测与预测预报方法研究进展[J].农业网络信息,2011(7):11-15.
[14]戴佳信.内蒙古河套灌区间作作物需水量与生理生态效应研究[D].呼和浩特:内蒙古农业大学,2011:68-75.
[15]朱丽.基于ISAREG模型河套灌区间作模式下节水型灌溉制度研究[D].呼和浩特:内蒙古农业大学,2012:45-48.
[2]IDSO S B,EHRLER W L.Estimating Soil Moisture in theRoot Zone of Crops:A Technique Adaptable to RemoteSensing[J].Geophys Res Lett,1976(3):23-25.
[3]DEJONG R,CAMERON D R.Computer Simulation Modelfor Predicting Soil Water Content Profiles[J].Soil Science,1979,128:41-48.
[4]康绍忠.旱地土壤水分动态模拟的初步研究[J].中国农业气象,1987,8(2):38-41.
[5]卞艳丽,曹惠提,杨一松,等.田间土壤墒情预报模型关键参数确定方法研究[J].人民黄河,2012,34(10):103-104.
[6]王小兵,崔伟敏.基于经验模型的膜下滴灌棉田土壤墒情预报[J].人民黄河,2010,32(11):84-86.
[7]长江流域规划办公室.水文预报方法[M].北京:水利出版社,1979:10-12.
[8]刘才良.农田水分预测模型[J].水利学报,1986,17(8):45-51.
[9]马孝义,王君勤,李志军.基于土壤消退指数的田间土壤水分预报方法的研究[J].水土保持研究,2002,9(2):93-96.
[10]尚松浩,毛晓敏,雷志栋,等.冬小麦田间墒情预报的BP神经网络模型[J].水利学报,2002,33(4):60-63.
[11]裴步祥,毛飞,吕厚荃.我国北方春季土壤水分动态模拟预报模式的实验研究[J].北京农业大学学报,1990,16(增刊):116-122.
[12]粟容前,康绍忠,贾云茂.农田土壤墒情预报研究现状及不同预报方法的对比分析[J].干旱地区农业研究,2005,23(6):194-199.
[13]王美多,何洪升,韩丽霞.墒情监测与预测预报方法研究进展[J].农业网络信息,2011(7):11-15.
[14]戴佳信.内蒙古河套灌区间作作物需水量与生理生态效应研究[D].呼和浩特:内蒙古农业大学,2011:68-75.
[15]朱丽.基于ISAREG模型河套灌区间作模式下节水型灌溉制度研究[D].呼和浩特:内蒙古农业大学,2012:45-48.