盐碱土壤Philip入渗模型参数的非线性预报模型
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摘要
基于晋北盐碱地土壤水分原位入渗试验,建立了容量为200组的盐碱地Philip入渗模型参数样本,借助MATLAB软件,构建了以土壤全盐量、有机质量、含水率、容重、黏粒和粉粒含量为输入因子,Philip入渗模型参数吸渗率S和稳渗率A为输出因子的多元非线性预报模型,并用实测资料对该模型进行了精度检验。结果表明:对入渗参数预测的相对误差均小于10%,误差较小,模型预报精度较高,可满足实际应用的需要。研究结果在为盐碱地灌溉灌水技术参数的合理确定提供技术手段的同时,也为进一步优化盐碱地的改良方法提供了理论依据。
Based on saline-alkali field soil water infiltration experiments in northern Shanxi Province,200 measured samples of Philip infiltration model parameters were obtained,with the help of MATLAB software. The multivariate nonlinear model was established. Soil temperature,organic matter content,moisture content,dry density,clay and silt content were used as input factors and in which infiltration rate and steady infiltration rate of Philip infiltration model parameters were used as output factors. The accuracy of prediction model was tested by measured data. The results show that the relative error of prediction parameters is less than 10%,and the forecast model accuracy is within acceptable range. On the one hand,the establishment of multivariate nonlinear prediction model of saline-alkali land Philip infiltration model parameters provides technical means for the prediction of saline-alkali land irrigation technical parameters. On the other hand,the establishment provides theoretical basis for improved methods of the saline-alkali land.
Based on saline-alkali field soil water infiltration experiments in northern Shanxi Province,200 measured samples of Philip infiltration model parameters were obtained,with the help of MATLAB software. The multivariate nonlinear model was established. Soil temperature,organic matter content,moisture content,dry density,clay and silt content were used as input factors and in which infiltration rate and steady infiltration rate of Philip infiltration model parameters were used as output factors. The accuracy of prediction model was tested by measured data. The results show that the relative error of prediction parameters is less than 10%,and the forecast model accuracy is within acceptable range. On the one hand,the establishment of multivariate nonlinear prediction model of saline-alkali land Philip infiltration model parameters provides technical means for the prediction of saline-alkali land irrigation technical parameters. On the other hand,the establishment provides theoretical basis for improved methods of the saline-alkali land.
引文
[1]李庆梅,侯龙鱼,刘艳,等.黄河三角洲盐碱地不同利用方式土壤理化性质[J].中国生态农业学报,2009,17(6):1 132-1 136.
[2]张小娟,韩明,郑敏娜.不同油用向日葵品种在盐碱地的适应性研究[J].山西农业科学,2012,40(4):332-335.
[3]Qingjie Wanga,Caiyun Lua,Hongwen Lia,et al.The effects of notillage with subsoiling on soil properties and maize yield:12-Year experiment on alkaline soils of Northeast China[J].Soil and Tillage Research,2014,137:43-49.
[4]Chun Xia Wang,Quan Jiu Wang,Zhuang Liang.Field Experimental Study on Saline and Alkaline Soil Amelioration through Combining Chemical Method and Under-Mulch Drip Irrigation.Advanced Materials Research,2012,599:832-837.
[5]吕殿青,王全九,王文焰,等.土壤盐分分布特征评价[J].土壤学报,2002,39(5):720-725.
[6]张莉,丁国栋,王翔宇,等.夹砂层土壤入渗过程水盐运动规律室内模拟试验研究[J].安徽农业科学,2010,38(7):3 605-3 606.
[7]B B PATEL,BHARAT B PATEL,R S DAVE.Studies on infiltration of saline-alkali soils of several parts of mehsana and patan districts of north gujarat[J].Journal of Applied Technology in Environmental Sanitation.2011,(1):87-92.
[8]任长江,白丹,周文,等.土壤初始含盐量对水分入渗特性的影响[J].干旱区研究,2014,31(2):222-225.
[9]PHILIP J R.The theory of infiltration about sorptivity and algebraic infiltration equations[J].Soi Sci.,1957,84(4):257-264.
[10]原林虎.PHILIP入渗模型参数预报模型研究与应用[D].太原:太原理工大学,2013:6-8.
[11]岳海晶.樊贵盛.备耕头水地土壤入渗参数的线性预报模型[J].中国农村水利水电,2016,(2):23.
[12]汪岚,黄彩虹.基于MATLAB色差预测多元回归模型的研究[J].计算机与应用化学,2008,25(8):1 015-1 018.
[13]樊贵盛,李尧,苏冬阳,等.大田原生盐碱荒地入渗特性的试验[J].农业工程学报.2012,28(19):63-70.
[14]So H B,,AYLMORE L A G.How do sodic soils behave?The effects of sadicity on soil physical behavior[J].Aust.J.Soil Res.1993,31.
[15]王雪,樊贵盛.Na+含量对土壤入渗能力影响的试验研究[J].太原理工大学学报,2009,40(4):391-393.
[16]樊贵盛,李雪转,李红星.非饱和土壤介质水分入渗问题的试验研究[M].北京:中国水利水电出版社,2012.
[17]郭华.土壤入渗模型参数的分阶段非线性预报模型研究[D].太原:太原理工大学,2016:46.
[18]邹长明,张多姝,张晓红,等.蚌埠地区设施土壤酸化与盐渍化状况测定与评价[J].安徽农学通报,2006,12(9):54-55.
[19]马献发,白路平,张继舟.哈尔滨市郊设施土壤积盐规律的研究[J].黑龙江农业科学,2009,11(1):50-52.
[2]张小娟,韩明,郑敏娜.不同油用向日葵品种在盐碱地的适应性研究[J].山西农业科学,2012,40(4):332-335.
[3]Qingjie Wanga,Caiyun Lua,Hongwen Lia,et al.The effects of notillage with subsoiling on soil properties and maize yield:12-Year experiment on alkaline soils of Northeast China[J].Soil and Tillage Research,2014,137:43-49.
[4]Chun Xia Wang,Quan Jiu Wang,Zhuang Liang.Field Experimental Study on Saline and Alkaline Soil Amelioration through Combining Chemical Method and Under-Mulch Drip Irrigation.Advanced Materials Research,2012,599:832-837.
[5]吕殿青,王全九,王文焰,等.土壤盐分分布特征评价[J].土壤学报,2002,39(5):720-725.
[6]张莉,丁国栋,王翔宇,等.夹砂层土壤入渗过程水盐运动规律室内模拟试验研究[J].安徽农业科学,2010,38(7):3 605-3 606.
[7]B B PATEL,BHARAT B PATEL,R S DAVE.Studies on infiltration of saline-alkali soils of several parts of mehsana and patan districts of north gujarat[J].Journal of Applied Technology in Environmental Sanitation.2011,(1):87-92.
[8]任长江,白丹,周文,等.土壤初始含盐量对水分入渗特性的影响[J].干旱区研究,2014,31(2):222-225.
[9]PHILIP J R.The theory of infiltration about sorptivity and algebraic infiltration equations[J].Soi Sci.,1957,84(4):257-264.
[10]原林虎.PHILIP入渗模型参数预报模型研究与应用[D].太原:太原理工大学,2013:6-8.
[11]岳海晶.樊贵盛.备耕头水地土壤入渗参数的线性预报模型[J].中国农村水利水电,2016,(2):23.
[12]汪岚,黄彩虹.基于MATLAB色差预测多元回归模型的研究[J].计算机与应用化学,2008,25(8):1 015-1 018.
[13]樊贵盛,李尧,苏冬阳,等.大田原生盐碱荒地入渗特性的试验[J].农业工程学报.2012,28(19):63-70.
[14]So H B,,AYLMORE L A G.How do sodic soils behave?The effects of sadicity on soil physical behavior[J].Aust.J.Soil Res.1993,31.
[15]王雪,樊贵盛.Na+含量对土壤入渗能力影响的试验研究[J].太原理工大学学报,2009,40(4):391-393.
[16]樊贵盛,李雪转,李红星.非饱和土壤介质水分入渗问题的试验研究[M].北京:中国水利水电出版社,2012.
[17]郭华.土壤入渗模型参数的分阶段非线性预报模型研究[D].太原:太原理工大学,2016:46.
[18]邹长明,张多姝,张晓红,等.蚌埠地区设施土壤酸化与盐渍化状况测定与评价[J].安徽农学通报,2006,12(9):54-55.
[19]马献发,白路平,张继舟.哈尔滨市郊设施土壤积盐规律的研究[J].黑龙江农业科学,2009,11(1):50-52.