土壤持水参数传输函数研究
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摘要
土壤持水参数传输函数的研究是土壤墒情自动监测预报、农田作物实时灌溉预报和农田节水灌溉技术参数确定的主要依据,为灌区实现综合节水和水资源的可持续利用提供强有力的技术支撑。研究成果对我国农业地区土壤水资源的开发利用与管理具有重要的理论意义和实际应用价值。
本文以国家自然科学基金资助项目(40671081)和山西省科技攻关基金资助项目(20100311124)为依托,基于晋中地区、临汾地区和工大试验小区的400多组大田试验数据,分析了不同类型土壤的持水参数的变化特性,揭示土壤质地、土壤结构、有机质含量、含盐量对土壤持水参数的影响,建立了影响因素与土壤持水参数间的定量模型；利用多元线性、多元非线性和BP神经网络等土壤传输函数,对给定土壤质地、不同土壤质地、考虑含盐量等三种条件下的土壤持水参数进行预测,并对预测结果进行验证和分析,最后确定土壤持水参数的最优的土壤传输模型。主要研究成果和创新点如下：
(1)影响土壤持水参数的主要因素有：土壤质地、土壤结构、土壤有机质含量和十壤含盐量。
(2)田间持水率和凋萎系数两个土壤持水参数随着土壤结构由疏松变为密实而减少,它们之间符合二次函数关系；随着土壤粘粒含量的增加而增大,它们之间符合对数函数关系；随土壤砂粒含量的增大而减小,它们之间符合对数函数关系；随着土壤有机质含量的增加而增大,它们之间符合对数函数关系；随着土壤含盐量的增加而增加,它们之间符合对数函数关系。
(3)利用多元线性、多元非线性和BP神经网络传输模型预测土壤田间持水参数的预测误差都在10%以下,三种土壤传输模型都是可行的,BP神经网络传输模型的预测结果最好。
本研究是以指导农田灌溉和水资源可持续利用为主要出发点,对不同类型的土壤持水参数的变化特性、影响因素、预测模型等内容进行了较为全面深入的研究,实现了用多种土壤传输函数来预测土壤持水参数。但是由于数据观测误差、试验方法或预测方法等原因,使得研究成果在区域范围内使用,还需要在大范围内进一步试验和验证。
The study on transfer functions of soil water retention parameter is the primary reason for automatic monitoring and forecasting of soil moisture, forecasting of irrigating crop in real time and determining technological parameters of water-saving irrigation, which provides strong technical supports for realizing comprehensive water-saving in irrigated area and the sustainable use of water resources. The results of study have great significance in theory and application on utilization and management of soil water resources in agricultural district of China.
This paper is supported by the National Natural Science Foundation of China (40671081) and Key Programs for Science and Technology Development Foundation of Shanxi Province, China (20100311124).It is based on more than400field test data of experimental plots in Jinzhong district, Linfen district and Technology University of Taiyuan. Variation characteristics of different types of soil water-holding parameter were analyzed. It is revealing that the effects of soil water-holding parameter on soil texture, soil structure, organic content and salinity, establishing quantitative model of influencing factors and soil water-holding parameter. Utilizing soil transmission function-multiple linear, multiple nonlinear and BP neural network, soil water-holding parameter is forecasted under three conditions-given soil texture, different soil texture and consideration of salinity and the forecast results were analyzed. Finally, the optimal soil transmission model of soil water-holding parameter was determined. Main study findings and innovation points are as follows:
(1)The main influence factors of soil water-holding parameter:soil texture, soil structure, organic content of soil and salinity.
(2)Field moisture and wilting coefficient decrease with the increase of soil dry bulk density and soil sand grain content, increase with the increase of soil clay content, organic content and salinity. Field moisture and wilting coefficient fit quadratic function with soil dry bulk density. Field moisture and wilting coefficient fit logarithm function with soil clay content, so do soil sand grain content, organic content and salinity.
(3)All forecast errors are under10%by utilizing soil transmission models-multiple linear, multiple nonlinear and BP neural network to forecast soil field water-holding parameter. Three soil transmission models are feasible and the forecast results of BP neural network transmission model are the best.
The main starting point of this study is the guidance of field irrigation and sustainable utilization of water resources, a thorough study of variation characteristics, influence factors and forecasting model of different types of soil water-holding parameter was conducted. Forecasting soil water-holding parameter with many kinds of soil transmission function was realized. However, because of data error of observation, test method or forecast method, the study findings can't be used at the regional scale until there is a further test and verify in a large scale.
本文以国家自然科学基金资助项目(40671081)和山西省科技攻关基金资助项目(20100311124)为依托,基于晋中地区、临汾地区和工大试验小区的400多组大田试验数据,分析了不同类型土壤的持水参数的变化特性,揭示土壤质地、土壤结构、有机质含量、含盐量对土壤持水参数的影响,建立了影响因素与土壤持水参数间的定量模型；利用多元线性、多元非线性和BP神经网络等土壤传输函数,对给定土壤质地、不同土壤质地、考虑含盐量等三种条件下的土壤持水参数进行预测,并对预测结果进行验证和分析,最后确定土壤持水参数的最优的土壤传输模型。主要研究成果和创新点如下：
(1)影响土壤持水参数的主要因素有：土壤质地、土壤结构、土壤有机质含量和十壤含盐量。
(2)田间持水率和凋萎系数两个土壤持水参数随着土壤结构由疏松变为密实而减少,它们之间符合二次函数关系；随着土壤粘粒含量的增加而增大,它们之间符合对数函数关系；随土壤砂粒含量的增大而减小,它们之间符合对数函数关系；随着土壤有机质含量的增加而增大,它们之间符合对数函数关系；随着土壤含盐量的增加而增加,它们之间符合对数函数关系。
(3)利用多元线性、多元非线性和BP神经网络传输模型预测土壤田间持水参数的预测误差都在10%以下,三种土壤传输模型都是可行的,BP神经网络传输模型的预测结果最好。
本研究是以指导农田灌溉和水资源可持续利用为主要出发点,对不同类型的土壤持水参数的变化特性、影响因素、预测模型等内容进行了较为全面深入的研究,实现了用多种土壤传输函数来预测土壤持水参数。但是由于数据观测误差、试验方法或预测方法等原因,使得研究成果在区域范围内使用,还需要在大范围内进一步试验和验证。
The study on transfer functions of soil water retention parameter is the primary reason for automatic monitoring and forecasting of soil moisture, forecasting of irrigating crop in real time and determining technological parameters of water-saving irrigation, which provides strong technical supports for realizing comprehensive water-saving in irrigated area and the sustainable use of water resources. The results of study have great significance in theory and application on utilization and management of soil water resources in agricultural district of China.
This paper is supported by the National Natural Science Foundation of China (40671081) and Key Programs for Science and Technology Development Foundation of Shanxi Province, China (20100311124).It is based on more than400field test data of experimental plots in Jinzhong district, Linfen district and Technology University of Taiyuan. Variation characteristics of different types of soil water-holding parameter were analyzed. It is revealing that the effects of soil water-holding parameter on soil texture, soil structure, organic content and salinity, establishing quantitative model of influencing factors and soil water-holding parameter. Utilizing soil transmission function-multiple linear, multiple nonlinear and BP neural network, soil water-holding parameter is forecasted under three conditions-given soil texture, different soil texture and consideration of salinity and the forecast results were analyzed. Finally, the optimal soil transmission model of soil water-holding parameter was determined. Main study findings and innovation points are as follows:
(1)The main influence factors of soil water-holding parameter:soil texture, soil structure, organic content of soil and salinity.
(2)Field moisture and wilting coefficient decrease with the increase of soil dry bulk density and soil sand grain content, increase with the increase of soil clay content, organic content and salinity. Field moisture and wilting coefficient fit quadratic function with soil dry bulk density. Field moisture and wilting coefficient fit logarithm function with soil clay content, so do soil sand grain content, organic content and salinity.
(3)All forecast errors are under10%by utilizing soil transmission models-multiple linear, multiple nonlinear and BP neural network to forecast soil field water-holding parameter. Three soil transmission models are feasible and the forecast results of BP neural network transmission model are the best.
The main starting point of this study is the guidance of field irrigation and sustainable utilization of water resources, a thorough study of variation characteristics, influence factors and forecasting model of different types of soil water-holding parameter was conducted. Forecasting soil water-holding parameter with many kinds of soil transmission function was realized. However, because of data error of observation, test method or forecast method, the study findings can't be used at the regional scale until there is a further test and verify in a large scale.
引文
[1]汪志农.灌溉排水工程学[M].中国农业出版社,2000.
[2]张玉欣,周建萍,吴玉芹,等.我国节水灌溉发展对策[J].节水灌溉,2005,(1)：38-39.
[3]李远华.节水灌溉理论与技术[M].武汉：武汉水利电力大学出版社,1999.
[4]张保华,何毓蓉,程根伟,等.贡嘎山东坡林地土壤低吸力段持水特性及其影响因素分析[J].西部林业科学,2006,35(1)：49-51.
[5]柳云龙,吕军，王人潮.低丘红壤作物易旱与土壤持水供水特性的关系[J].浙江大学学报(农业与生命科学版),2002,28(1)：42-46.
[6]Jary W A. Soil physics[M]. Printed in the United States of America,1991:61-64.
[7]Soil Survey Staff. Soil Survey Manual[M], rev. Ed. United States Department of Agriculture Handbook No.18, USDA, Washington.,1993.
[8]El-Swaify, S. A. Physical and mechanical properties of ox soils, in Soil with variable charge[C], New Zealand Society of Soil Science, Palmerston North,1980,303-322.
[9]张治国,张云龙,刘徐师,等.林业工程生态学[M].北京：中国林业出版社,1999。
[10]于志民,余新晓.水涵养林效益研究[M].北京：中国林业出版社,1999。
[11]曾曙才,谢正生,古炎坤等.广州白云山儿种森林群落生物量和持水性能[J].华南农业大学学报(自然科学版),2002,23(4)：41-44。
[12]武天云,邓娟珍,王生录等.覆盖黑垆土的持水特性及抗旱性研究[J].干旱地区农业研究,1995,13(3)：33-37
[13]Scotter D. R. Field capacity of water and soil available water [J].Soil Soc. Am.J., 1981,45(5):852-855
[14]Lund, Z.F. Available water-holding capacity of alluvial soil in Louisiana[J]. Soil Sci.Soc. Am. Proc.1968,32:217-275.
[15]张光灿,刘霞.泰山儿种林分枯落物和土壤水文效应研究[J].林业科技通讯,1999,(2)：28-29.
[16]张小泉,张清华,毕树峰.太行山北部中山幼林地土壤水分的研究[J].林业科学,1994,30(3)：193-200。
[17]周泽福,李昌哲.北京九龙山不同植被土壤水分特征研究[J].林业科学研究,1994,7(1)：48-53
[18]Wu L, Vomocil J A, Childs S W. Pore size, particle size, and water retention[J]. Soil Soc Am J,1990,54:952-956.
[19]Hillel D. Applications of soil physics. New Year:Academic press,1980:385-426。
[20]Hillel D. Introduction to soil physics,Academic press,1982.
[21]刘恩斌,董水丽.黄土高原主要土壤持水性能及抗早性的评价[J].水土保持通报,1997,17(7)：20-26
[22]李玉山.黄土高原土壤水分性质及分区[J].中国科学院水利部西北水保所刊集,1985,(2)：1-6
[23]陈志雄,汪仁真.中国几种主要土壤的持水性质[J].土壤学报,1979,16(3)：277-281。
[24]杨金楼,朱连龙,朱济成.上海地区土壤持水特性的研究[J].土壤学报,1982,19(4)：35-38。
[25]刘思春,张一平,高俊风等.不同肥力水平下土壤植物大气连续系统水势温度效应研究[J].西北农业学报,1996,5(4)：47-53.
[26]朱祖祥.土壤水分的能量概念及其意义[J].土壤学进展,1982,19(4)：35-38。
[27]王兵,魏文俊,冷泠.宁夏六盘山不同森林类型土壤贮水与入渗研究[J]。内蒙古农业大学学报,2006,27(3)：1-5
[28]朱安宁,张佳宝,程竹华.轻质土壤水分特征曲线估计的简便方法[J].土壤通报,2003,34(4)253-258
[29]Lalit M, Jack A, Paris F. A physician primal model to predict the soil moisture characteristic from particle-size distribution and bulk density date[J].Soil Science,1981, 45:1023-1030.
[30]李小刚.影响土壤水分特征曲线的因素[J].甘肃农业大学学报,1994,(3)：273-178。
[31]Willians J, Prebble R E. The influence of texture Structure and clay mineralogy on the soil moisture characteristic [J]. Aust J Soil Res,1983,21:15-23.
[32]Hillel D. Application of soil physics[M].New York Academic Press.1980:385-426.
[33]Lugo-Lopez, M.A. Functional relationships between moisture at several equilibrium points and the clay content of tropical soil[J].J. Agric. Univ. Puerto Rico1951.35:66-70.
[34]贾芳,樊贵盛.土壤质地与田间持水率关系的研究[J].山西水土保持科技,2007,(3)：17-19.
[35]解文艳,樊贵盛.土壤结构对土壤入渗能力的影响[J].太原理工大学学报,2004,35(4)：381-384。
[36]周印东,吴金水,赵世伟等.子午岭植被演替过程中土壤剖面有机质与持水性能变化[J].西北植物学报,2003,23(6)：895-900。
[37]李雪转,樊贵盛.土壤有机质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, 2006,37(1)：59-62。
[38]刘思春,吕家珑,马爱生,等.有机质对黄十持水性与水肥效应的影响[J]。干早地区农业研究,2005,23(3)：66-68
[39]张强,孙向阳,王涵等.毛鸟素沙地土壤的持水特性研究[J].林业科学研究,2004,17：63-66。
[40]Kem, J. S.. Geographic patterns of soil-water holding capacity in the contiguous United States[J]. Soil.Sci. Soc. Am. J.,1995,59:1126-1133
[41]许广波,吕龙石,廉浩燮等,影响田间持水量主要因子的通径分析[J],延边大学农学学报,1997,(4)：242-245
[42]张蔚臻.地下水与土壤水动力学[M].北京：中国水利水电出版社,1996。
[43]黄昌勇.土壤学[M].北京：中国农业出版社,2000.
[44]沈思渊,席承藩.淮北主要土壤持水性能及其与颗粒组成的关系[J].土壤学报,1990,27(1)：34-42。
[45]Guber A K, Rawls W J, Shein E V, et al. Effect of soilaggregate size distribution on water retention[J]. Soil Sic,2003,168(4):223-233.
[46]张仁陟,李小刚,胡华,等.甘肃黄土地区农田土壤水分变异规律研究[J].土壤侵蚀与水土保持学报,1998,4(4)：53-59。
[47]朱显谟.黄土高原土壤与农业[M].北京：农业出版社,1989。
[48]李小刚.甘肃景电灌区盐化土壤的吸湿系数与凋萎湿度及其预报模型[J].土壤学报.2001.38.498-504
[49]乔照华.土壤凋萎系数的影响因素研究[J].水资源与水工程.2008,19(2)：79-84.
[50]赵广建,樊贵盛.凋萎系数与土壤有机质含量的定量关系研究[J].山西省水土保持科学,2008.1.
[51]杨文治,邵明安.黄土高原土壤水分研究[M].北京：科学出版社,2000.
[52]Arya L M, Paris J F. A Physicoempirical model to predict the soil moisture characteristic from particle size distribution and density data[J]. Soil Soc Am J,1981,45:1023-1030.
[53]陈晓燕,陆桂花,等.土壤传递函数在确定田间持水率中的应用[J],河海大学学报,2005,33(2)：1-3.
[54]Pidgeon, J. D. The measurement and prediction of available water capacity of ferralitic soils in Uganda[J]. J.Soil Sci.1972.23:431-441
[55]Gardner W R, Hillel D, Benyamin Y. Post irrigation of soil water:Ⅰ. Redistrbution[J]. Water Resour,1970,6:851-861.
[56]Gardner W R, Hillel D, Benyamin Y. Post irrigation of soil water:Ⅱ. Simultaneous redistribution and evaporation[J]. Water Resour,1970,6:148-153.
[57]Brakensiek D. L., Engleman R. L., Raws W. J. Variations within texturc classes of soil water parameters[J]. Trans. ASAE,1981,24(2):335-339.
[58]周文佐、刘高焕、潘剑君等,土壤有效含水量的经验估算研究[J],干早区资源与环境,2003,(4)：88-95.
[59]李世华,牛铮,路鹏等,基于主成分分析红壤有效含水量估算模型[J],农业工程学报,2007,(5)：92-94
[60]王黎军,丁小刚.土壤含水率的预测模型[J].中国农村水利水电,2010(4)：79-80.
[61]汪湖北、卢升高.浙北海涂土壤持水特性研究[J].浙江大学学报.2001.12
[62]李卓,吴普特,冯浩,等.容重对土壤水分蓄持能力影响模拟试验研究[J].土壤学报,2010,47(4)：611-618.
[63]李卓,冯浩,吴普特,等.砂粒含量对土壤水分蓄持能力影响模拟试验研究[J].水土保持学报.2009,23(5)：204-208.
[64]李卓,吴普特,冯浩,等.黏粒质量分数对土壤水分蓄持能力影响的模拟试验[J].中国水土保持学报.2009.23(10)：
[65]Havekamp R., Parlange J. Y.. Predicting the water retenyion curve from particle-size distribution:1. Sandy soils without organic matter[J]. Soil Sci.1986,142:325-339
[66]Brasher B. R., D P. Franzeir, V Valassis et al. Use of saran to coat natural soil clods for bulk density and moisture retention measurements[J]. Soil Sci.,1966,101-108.
[67]Carsil R. F. Developing joint probability distributions of soil water retention characteristics[J]. Water Resour. Res.1988,24:855-769.
[68]De Jong R., Loebel K. Empirical relations between soil components and water retention at 1/3 and 1/5 atmospheres[J]. Soil Sci.,1982,62:343-350.
[69]De Jong R..Campbell C. A., Nicholaichuk W. Water retention equations and their relationship to soil organic matter and particle size distribution for disturbed sample[J].Soil Sci.,1983,63:291-302.
[70]De Jong R. Soil water desorption curve estimated from limited[J]. Soil Sci., 1983,63:697-703.
[71]谷永利,刘学锋,杨贤等人.河北省土壤水分分布及变化特征[J].干早区资源与环境.2011.03
[72]陈晓燕,陆桂花,等.全国土壤田间持水量分布探讨[J].水利水电科技,2004，35(9)：113-116.
[73]Philip K P. Plant water relation:some physical aspects. Aun Rev 18. Plant physical, 1966,17:245-268.
[74]雷志栋,杨诗秀,谢森传.土壤水动力学[M].北京；清华大学出版社,1980.
[75]Richards L A. Capillary conduction of liquid sin porous mudiums [J].Physics,1931, (1):30-33.
[76]Bregt, A. K. and Beemster, J. G. H. Accuracy in predicting moisture deficits and changes in yield from soil maps[J]. Geoderma,1989,43:301-310.
[77]Tyler S. W., Wheatcraft S. W. Application of fractal mathematics to soil water retention estimation[J]. Soil Sci. Soc. Am.,1989,53:987-996.
[78]Campbell G. S. A simple method for determining unsaturated conductivity from moisture retention data[J]. Soil Sci.,1974,117:311-314.
[79]Cosby B. J., Hornberger G. M. Clapp R. B. et al. Astatistical exploration of the relationships of soil moisture characteristics to the physical properties of soils[J]. Water Resour. Res.,1984,20:682-690.
[80]S imaleng T M, Have H. Predicting soil moisture status and suitable field workdays under conditions[J]. Agricultural Mechanization in Asia, Africa and Latin America,1994,25(3):9-12.
[81]Manrique, L. A., C.A.Jones, and P. T. Dyke. Predicting soil water retention characteristics from soil physical and chemical properties[J]. Commun. Soil Sci. Plant Anal., 1991,22(17&18):1847-1860.
[82]Tiet je O., Tapkenhinrichs M. Evaluation of pedo-transfer function[J]. Soil Sci. Soc. Am.,1993,57:1088-1095.
[83]Cornelis W M, Ronsyn J, Meirvenne M. Evaluation of pedo-transfer functions for predicting the soil moisture retention curve [J]. Soil Science,2001,65:638-648.
[84]Wosten J H M, Pachepsky Y A, Rawls W J. Pedo-transfer functions:bridging the gap between available basic soil data and missing soil hydraulic characteristics[J]. Joumal of Hydrology,2001,251:123-150.
[85]Ereecken H, Diels J, Van Orshoven J. et al. Functional evaluation of pedo-transfer function for the estimation of soil hydraulic properties. Soil Sci. Soc. Am. J.,1992, 56:1371-1378
[86]Ahuja L R, Naney J W, Willianms RD. Estimating soil water retention from simpler properties or limited data[J]. Soil Sci Soc.1985,49:1100-1105.
[87]Arya L M, Pans J F. A physic empirical model to predict the soil moisture retention characteristic from particle size distribution and bulk density data[J]. Soil Sci Soc A m J.1981,45:1023-1030.
[88]张晓文杨煜普,许晓鸣神经网络传输函数的功能分析与仿真研究[J].计算机仿真研究200522(10) 176-178
[89]Nasny B, Mcbratney A B, Bristow K L. Comparison of different approaches to the development of pedotransfer functions for water-retention curves [J]. Geoderma, 1999,93:225-253
[90]Wosten J H M, Pachepsky Y A, Rawls W J. Pedotransfer functions:bridging the gap between available basic soil data and missing soil hydraulic characteristic [J]. Journal of Hydrology,2001,251:123-150
[91]Schaap M G, Leij F J, van Genuchten M Th. Neural network analysis for hierarchical prediction of soil water retention and saturated hydraulic conductivity [J]. Soil Science Society of Americal Journal,1998,62:847-855
[92]G Thim m, E Fiesler. From Natural to Artificial Neural Computation[J]. Lecture Notes in Computer Science,1995,930:535-542
[93]chepsky Y A, Timlin D, Varallyay G. Artificial neural networks to estimate soil water retention from easily measurable data [J]. Soil Science Society of America Journal, 1996,60:727-733
[94]Gupat S. C., Larson W. E. Estimating soil rentention characteristics feom particle size distribution,organic matter percent, and bulk density[J]. Water Resour. Res., 1979,14:1633-1635.
[95]Rawls W. J., Gish T.,J., Brakensiek D. L. Estimating soil water retention from soil physical properties and characteristics[J]. Soil Sci.1991,16:213-234.
[96]Vereecken H., Dies J., Van Orshoven J. et al. Functional evaluation of ped-o-transfer function for the estimation of soil hydraulic properties[J]. Soil Sci Soc A m J.1992,56: 1371-1378.
[97]朱安宁,张佳宝.封丘地区土壤传递函数的研究.土壤学报,2003,40(1)：54-59.
[98]朱安宁.封丘土壤水力学特性及其土壤传递函数的研究[D].南京农业大学资源环境学院,2000年.
[99]项静恬,郭世琪.多元回归模型在实际应用中的几种推广.数理统计与管理,1994,13(3)：48-50.
[100]Schaap M G, Bouten W. Modeling water retention curves of sandy soils using neural network [J]. Water Resources Research,1996,32:3033-3040
[101]Pachepsky Y A, Rawls W J, Gimenez D, Watt J P C. Use of soil penetration resistance and group method of data handling to improving soil water retention estimates [J]. Soil and Tillage Research,1998,49:117-128.
[102]Mualern Y. A new model for predicting the hydraulic conductivity of unsaturated porous media[J]. Water Resour. Res.,1976,12:513-521.
[103]Mckenzie N J, Jacquier D W. Improving the field estimation of saturated hydraulic conductivity in soil survey [J]. Australian Journal of Soil Research,1997,35:803-825.
[104]吴利华,郑垂勇.神经网络模型对城市人才资源总量的预测.科技进步与对策,2004,(8)：100-102.
[105]马军花.传递函数模型的发展和农田尺度下硝态氮淋失的数值预报[D].中国农业大学资源与环境学院,2004.
[106]曹崇文.利用土壤传输函数确定入渗参数的方法研究[D].太原：太原理工大学水利科学与工程学院,2006.64-70.
[107]李雪转,樊贵盛.土壤入渗积水时间预测模型研究[J].土壤学报,2012,49(2)：269-274.
[108]苏力.时间序列分析预测法在降水预报中的应用[J].青海气象,2006,4：12-14.
[109]刘洪斌,武伟.基于神经网络的土壤水分预测建模研究[J].水土保持学报,2003,17(5)：59-62.
[110]冯宝平,陈守伦.用BP网络预测温度对土壤水分入渗的影响[J].水利学报,2003(2)：4-8.
[111]刘洪斌等.土壤水分预测神经网络模型与时间序列模型的比较研究[J].农业工程学报,2003,19(4)：33-36.
[112]于飞,李益农.基于BP网络的畦灌性能模拟及其应用评价[J].灌溉排水学报,2007,26(6)：
[113]中华人民共和国水利部.土工试验规程(SL237-1999)[M].北京：中国水利水电出版社,1999.
[114]解文艳,樊贵盛,土壤结构对土壤入渗能力的影响[J],太原,太原理工大学学报,2004,(4)：381-384.
[115]Alexander E. B.. Bulk densities of Califormia soils in relation to other soil properties[J]. Soil Sci. Soc. Am.,1980,44:689-692.
[116]李卓.土壤机械组成及容重对水分特征参数影响模拟试验研究[D].西北农林科技大学,2009.
[117]张明炷.土壤与农作[M].北京：中国水利水电出版社,1994.
[118]王孟本,柴宝峰,李洪建,等.黄土区人工林的土壤持水力与有效水状况[J].林业科学,1999,35(2)7-4.
[119]樊贵盛,邢述彦等,土壤质地对间歇入渗减渗效果的影响[J],农业工程学报,1998,(2)：250-252.
[120]解文艳,樊贵盛,土壤质地对土壤入渗能力的影响[J],太原,太原理工大学学报,2004,(5)：537-540.
[121]Karathanasis A. D., Hajek B. F..Quantitive evalution of water absorption on soil clays[J]. Soil Sci. Soc. Am.,1982a,46:1321-1325.
[122]Bounma J., Jongerious A., Schoonderbeek D.. Calculation of saturated hydraulic conductivity of some pedal caly soils using micromorphometric data[J]. Soil Sci. Soc. Am.,1979,43:261-264.
[123]Mehta B. K., Shiozawa S., Nakano M. Hydraulic properties of a sandy soil at low water contents[J]. Soil Sci.1994,157:208-214.
[124]李雪转,樊贵盛.土壤有机质含量对土壤入渗能力及入渗参数影响的试验研究[J],农业工程学报,2006,22(3)：59-62.
[125]Rawls W. J. Estimating soil bulk density from particle size analysis and organic matter content[J]. Soil Sci.1983,135:123-126.
[126]Jamison V. C., KROTH e. m.. Available moisture storage capacity in relation to textural composition and organic matter content of several Missouri soils[G]. Soil Sci. Am. Proc.,1958, 22:189-192.
[127]Berman D.Hudson,土壤有机质含量与其有效含水量的关系[J],水土保持科技情报,1995,(1)：51-52
[128]华孟,王坚.土壤物理学[M].北京：北京农业大学出版社,1993.
[129]姚杏安,臧波,吴大伟,土壤含盐量对土壤某些物理性质及棉花产量的影响 [J].2007.(41).58-62.
[130]李新举,张志国,刘勋岭.土壤含盐量对土壤水分蒸发影响的初步研究[j].山东农业大学学报(自然科学版)2000,31(2)：209-210.
[131]王雪.荒地盐渍土土壤入渗规律及其改进措施研究[D].太原理工大学水利科学与工程学院,2009.
[132]Wosten J. H., Van Genuchten M. Th.. Using texture and other soil properties to predict the nusaturated soilbhydraulic function[J]. Soil Sci. Am.,1988,52:1762-1770.
[133]Yatr S. R., Van Genuchten M. Th., Warrick A. W. et al. Analysis of measured, predicted and estimated hydraulic conductivity using the RETC computer program[J]. Soil Sci. Am.,1992, 56:347-354.
[134]黄元仿,李韵株.土壤水力性质的估算——土壤转换函数.土壤学报.2002,39(4)：517-523.
[135]Ghosh R. K.. Estimation of soil-moisture characteristic from mechanical properties of soils[J].Soil Sci.1980,130:60-63.
[136]Rawls W. J., Brakensiek D. L. Estimating soil water retention from soil properties[J]. Irrg. & Drainage Eiv., ASCE 1982 108:166-171.
[137]Saxton K. E., Rawls W. J., Romberger J.S.. Estimating generalized soil water characteristics from texture[J]. Soil Sci.Am.,1983,50:1031-1036.
[138]Vereecken H., Maes J., Feyen J. et al. Estimating the soil moisture retention characteristic from texture, bulk density, and carbom content [J]. Soil Sci.,1989,148: 389-403.
[139]李雪转.非充分供水土壤水分入渗规律的试验研究与过程模拟[D].太原理工大学环境科学与工程学院,2010.
[140]樊贵盛.冻融土壤水分入渗规律与冬灌水过程研究[D].中国农业大学资源与环境学院,2001.
[141]于秀林,任雪松.多元统计分析[M].北京：北京中国统计出版社,2003.
[142]冯宝平,陈守伦.用BP网络预测温度对土壤水分入渗的影响[J].水利学报,2003(2)：4-8.
[143]刘洪斌等.土壤水分预测神经网络模型与时间序列模型的比较研究[J].农业工程学报,2003,19(4)：33-36.
[144]Peck A.J., Luxmoore R.J., Stolzy J. L.. Effect of spatial variability on soil-water properties in water budget model ing[J]. Water Resour. Res.,1977,13:348-354
[145]G Thim m, E Fiesler. From Natural to Artificial Neural Computation[J]. Lecture Notes in Computer Science,1995,930:535-542
[146]J. A. Sobieraj, H. Elsenbeer, R. A. Vertessy. Pedotransfer function for estimating saturated hydraulic conductivity:implications for modeling storm flow generation, Journal of hydrology.2001,251:202-220
[147]李适宇,厉红梅,林亲铁,等.深圳市供水量BP神经网络预测[J].给水排水,2004,30(12)：105-108
[148]吴利华,郑垂勇.神经网络模型对城市人才资源总量的预测[J].科技进步与对策,2004,(8)：100-102。
[149]刘晋刚,韩燮,李华玲.BP神经网络的改进算法的应用[J].华北工学院学报,2002,23(6)：449-451.
[150]董长虹等.Matlab神经网络与应用[M].北京：国防工业出版社,2007.
[151]许东,吴铮.基于MATLAB 6.X的系统分析与设计——神经网络[M].西安：西安电子科技大学出版社,2002.
[2]张玉欣,周建萍,吴玉芹,等.我国节水灌溉发展对策[J].节水灌溉,2005,(1)：38-39.
[3]李远华.节水灌溉理论与技术[M].武汉：武汉水利电力大学出版社,1999.
[4]张保华,何毓蓉,程根伟,等.贡嘎山东坡林地土壤低吸力段持水特性及其影响因素分析[J].西部林业科学,2006,35(1)：49-51.
[5]柳云龙,吕军，王人潮.低丘红壤作物易旱与土壤持水供水特性的关系[J].浙江大学学报(农业与生命科学版),2002,28(1)：42-46.
[6]Jary W A. Soil physics[M]. Printed in the United States of America,1991:61-64.
[7]Soil Survey Staff. Soil Survey Manual[M], rev. Ed. United States Department of Agriculture Handbook No.18, USDA, Washington.,1993.
[8]El-Swaify, S. A. Physical and mechanical properties of ox soils, in Soil with variable charge[C], New Zealand Society of Soil Science, Palmerston North,1980,303-322.
[9]张治国,张云龙,刘徐师,等.林业工程生态学[M].北京：中国林业出版社,1999。
[10]于志民,余新晓.水涵养林效益研究[M].北京：中国林业出版社,1999。
[11]曾曙才,谢正生,古炎坤等.广州白云山儿种森林群落生物量和持水性能[J].华南农业大学学报(自然科学版),2002,23(4)：41-44。
[12]武天云,邓娟珍,王生录等.覆盖黑垆土的持水特性及抗旱性研究[J].干旱地区农业研究,1995,13(3)：33-37
[13]Scotter D. R. Field capacity of water and soil available water [J].Soil Soc. Am.J., 1981,45(5):852-855
[14]Lund, Z.F. Available water-holding capacity of alluvial soil in Louisiana[J]. Soil Sci.Soc. Am. Proc.1968,32:217-275.
[15]张光灿,刘霞.泰山儿种林分枯落物和土壤水文效应研究[J].林业科技通讯,1999,(2)：28-29.
[16]张小泉,张清华,毕树峰.太行山北部中山幼林地土壤水分的研究[J].林业科学,1994,30(3)：193-200。
[17]周泽福,李昌哲.北京九龙山不同植被土壤水分特征研究[J].林业科学研究,1994,7(1)：48-53
[18]Wu L, Vomocil J A, Childs S W. Pore size, particle size, and water retention[J]. Soil Soc Am J,1990,54:952-956.
[19]Hillel D. Applications of soil physics. New Year:Academic press,1980:385-426。
[20]Hillel D. Introduction to soil physics,Academic press,1982.
[21]刘恩斌,董水丽.黄土高原主要土壤持水性能及抗早性的评价[J].水土保持通报,1997,17(7)：20-26
[22]李玉山.黄土高原土壤水分性质及分区[J].中国科学院水利部西北水保所刊集,1985,(2)：1-6
[23]陈志雄,汪仁真.中国几种主要土壤的持水性质[J].土壤学报,1979,16(3)：277-281。
[24]杨金楼,朱连龙,朱济成.上海地区土壤持水特性的研究[J].土壤学报,1982,19(4)：35-38。
[25]刘思春,张一平,高俊风等.不同肥力水平下土壤植物大气连续系统水势温度效应研究[J].西北农业学报,1996,5(4)：47-53.
[26]朱祖祥.土壤水分的能量概念及其意义[J].土壤学进展,1982,19(4)：35-38。
[27]王兵,魏文俊,冷泠.宁夏六盘山不同森林类型土壤贮水与入渗研究[J]。内蒙古农业大学学报,2006,27(3)：1-5
[28]朱安宁,张佳宝,程竹华.轻质土壤水分特征曲线估计的简便方法[J].土壤通报,2003,34(4)253-258
[29]Lalit M, Jack A, Paris F. A physician primal model to predict the soil moisture characteristic from particle-size distribution and bulk density date[J].Soil Science,1981, 45:1023-1030.
[30]李小刚.影响土壤水分特征曲线的因素[J].甘肃农业大学学报,1994,(3)：273-178。
[31]Willians J, Prebble R E. The influence of texture Structure and clay mineralogy on the soil moisture characteristic [J]. Aust J Soil Res,1983,21:15-23.
[32]Hillel D. Application of soil physics[M].New York Academic Press.1980:385-426.
[33]Lugo-Lopez, M.A. Functional relationships between moisture at several equilibrium points and the clay content of tropical soil[J].J. Agric. Univ. Puerto Rico1951.35:66-70.
[34]贾芳,樊贵盛.土壤质地与田间持水率关系的研究[J].山西水土保持科技,2007,(3)：17-19.
[35]解文艳,樊贵盛.土壤结构对土壤入渗能力的影响[J].太原理工大学学报,2004,35(4)：381-384。
[36]周印东,吴金水,赵世伟等.子午岭植被演替过程中土壤剖面有机质与持水性能变化[J].西北植物学报,2003,23(6)：895-900。
[37]李雪转,樊贵盛.土壤有机质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, 2006,37(1)：59-62。
[38]刘思春,吕家珑,马爱生,等.有机质对黄十持水性与水肥效应的影响[J]。干早地区农业研究,2005,23(3)：66-68
[39]张强,孙向阳,王涵等.毛鸟素沙地土壤的持水特性研究[J].林业科学研究,2004,17：63-66。
[40]Kem, J. S.. Geographic patterns of soil-water holding capacity in the contiguous United States[J]. Soil.Sci. Soc. Am. J.,1995,59:1126-1133
[41]许广波,吕龙石,廉浩燮等,影响田间持水量主要因子的通径分析[J],延边大学农学学报,1997,(4)：242-245
[42]张蔚臻.地下水与土壤水动力学[M].北京：中国水利水电出版社,1996。
[43]黄昌勇.土壤学[M].北京：中国农业出版社,2000.
[44]沈思渊,席承藩.淮北主要土壤持水性能及其与颗粒组成的关系[J].土壤学报,1990,27(1)：34-42。
[45]Guber A K, Rawls W J, Shein E V, et al. Effect of soilaggregate size distribution on water retention[J]. Soil Sic,2003,168(4):223-233.
[46]张仁陟,李小刚,胡华,等.甘肃黄土地区农田土壤水分变异规律研究[J].土壤侵蚀与水土保持学报,1998,4(4)：53-59。
[47]朱显谟.黄土高原土壤与农业[M].北京：农业出版社,1989。
[48]李小刚.甘肃景电灌区盐化土壤的吸湿系数与凋萎湿度及其预报模型[J].土壤学报.2001.38.498-504
[49]乔照华.土壤凋萎系数的影响因素研究[J].水资源与水工程.2008,19(2)：79-84.
[50]赵广建,樊贵盛.凋萎系数与土壤有机质含量的定量关系研究[J].山西省水土保持科学,2008.1.
[51]杨文治,邵明安.黄土高原土壤水分研究[M].北京：科学出版社,2000.
[52]Arya L M, Paris J F. A Physicoempirical model to predict the soil moisture characteristic from particle size distribution and density data[J]. Soil Soc Am J,1981,45:1023-1030.
[53]陈晓燕,陆桂花,等.土壤传递函数在确定田间持水率中的应用[J],河海大学学报,2005,33(2)：1-3.
[54]Pidgeon, J. D. The measurement and prediction of available water capacity of ferralitic soils in Uganda[J]. J.Soil Sci.1972.23:431-441
[55]Gardner W R, Hillel D, Benyamin Y. Post irrigation of soil water:Ⅰ. Redistrbution[J]. Water Resour,1970,6:851-861.
[56]Gardner W R, Hillel D, Benyamin Y. Post irrigation of soil water:Ⅱ. Simultaneous redistribution and evaporation[J]. Water Resour,1970,6:148-153.
[57]Brakensiek D. L., Engleman R. L., Raws W. J. Variations within texturc classes of soil water parameters[J]. Trans. ASAE,1981,24(2):335-339.
[58]周文佐、刘高焕、潘剑君等,土壤有效含水量的经验估算研究[J],干早区资源与环境,2003,(4)：88-95.
[59]李世华,牛铮,路鹏等,基于主成分分析红壤有效含水量估算模型[J],农业工程学报,2007,(5)：92-94
[60]王黎军,丁小刚.土壤含水率的预测模型[J].中国农村水利水电,2010(4)：79-80.
[61]汪湖北、卢升高.浙北海涂土壤持水特性研究[J].浙江大学学报.2001.12
[62]李卓,吴普特,冯浩,等.容重对土壤水分蓄持能力影响模拟试验研究[J].土壤学报,2010,47(4)：611-618.
[63]李卓,冯浩,吴普特,等.砂粒含量对土壤水分蓄持能力影响模拟试验研究[J].水土保持学报.2009,23(5)：204-208.
[64]李卓,吴普特,冯浩,等.黏粒质量分数对土壤水分蓄持能力影响的模拟试验[J].中国水土保持学报.2009.23(10)：
[65]Havekamp R., Parlange J. Y.. Predicting the water retenyion curve from particle-size distribution:1. Sandy soils without organic matter[J]. Soil Sci.1986,142:325-339
[66]Brasher B. R., D P. Franzeir, V Valassis et al. Use of saran to coat natural soil clods for bulk density and moisture retention measurements[J]. Soil Sci.,1966,101-108.
[67]Carsil R. F. Developing joint probability distributions of soil water retention characteristics[J]. Water Resour. Res.1988,24:855-769.
[68]De Jong R., Loebel K. Empirical relations between soil components and water retention at 1/3 and 1/5 atmospheres[J]. Soil Sci.,1982,62:343-350.
[69]De Jong R..Campbell C. A., Nicholaichuk W. Water retention equations and their relationship to soil organic matter and particle size distribution for disturbed sample[J].Soil Sci.,1983,63:291-302.
[70]De Jong R. Soil water desorption curve estimated from limited[J]. Soil Sci., 1983,63:697-703.
[71]谷永利,刘学锋,杨贤等人.河北省土壤水分分布及变化特征[J].干早区资源与环境.2011.03
[72]陈晓燕,陆桂花,等.全国土壤田间持水量分布探讨[J].水利水电科技,2004，35(9)：113-116.
[73]Philip K P. Plant water relation:some physical aspects. Aun Rev 18. Plant physical, 1966,17:245-268.
[74]雷志栋,杨诗秀,谢森传.土壤水动力学[M].北京；清华大学出版社,1980.
[75]Richards L A. Capillary conduction of liquid sin porous mudiums [J].Physics,1931, (1):30-33.
[76]Bregt, A. K. and Beemster, J. G. H. Accuracy in predicting moisture deficits and changes in yield from soil maps[J]. Geoderma,1989,43:301-310.
[77]Tyler S. W., Wheatcraft S. W. Application of fractal mathematics to soil water retention estimation[J]. Soil Sci. Soc. Am.,1989,53:987-996.
[78]Campbell G. S. A simple method for determining unsaturated conductivity from moisture retention data[J]. Soil Sci.,1974,117:311-314.
[79]Cosby B. J., Hornberger G. M. Clapp R. B. et al. Astatistical exploration of the relationships of soil moisture characteristics to the physical properties of soils[J]. Water Resour. Res.,1984,20:682-690.
[80]S imaleng T M, Have H. Predicting soil moisture status and suitable field workdays under conditions[J]. Agricultural Mechanization in Asia, Africa and Latin America,1994,25(3):9-12.
[81]Manrique, L. A., C.A.Jones, and P. T. Dyke. Predicting soil water retention characteristics from soil physical and chemical properties[J]. Commun. Soil Sci. Plant Anal., 1991,22(17&18):1847-1860.
[82]Tiet je O., Tapkenhinrichs M. Evaluation of pedo-transfer function[J]. Soil Sci. Soc. Am.,1993,57:1088-1095.
[83]Cornelis W M, Ronsyn J, Meirvenne M. Evaluation of pedo-transfer functions for predicting the soil moisture retention curve [J]. Soil Science,2001,65:638-648.
[84]Wosten J H M, Pachepsky Y A, Rawls W J. Pedo-transfer functions:bridging the gap between available basic soil data and missing soil hydraulic characteristics[J]. Joumal of Hydrology,2001,251:123-150.
[85]Ereecken H, Diels J, Van Orshoven J. et al. Functional evaluation of pedo-transfer function for the estimation of soil hydraulic properties. Soil Sci. Soc. Am. J.,1992, 56:1371-1378
[86]Ahuja L R, Naney J W, Willianms RD. Estimating soil water retention from simpler properties or limited data[J]. Soil Sci Soc.1985,49:1100-1105.
[87]Arya L M, Pans J F. A physic empirical model to predict the soil moisture retention characteristic from particle size distribution and bulk density data[J]. Soil Sci Soc A m J.1981,45:1023-1030.
[88]张晓文杨煜普,许晓鸣神经网络传输函数的功能分析与仿真研究[J].计算机仿真研究200522(10) 176-178
[89]Nasny B, Mcbratney A B, Bristow K L. Comparison of different approaches to the development of pedotransfer functions for water-retention curves [J]. Geoderma, 1999,93:225-253
[90]Wosten J H M, Pachepsky Y A, Rawls W J. Pedotransfer functions:bridging the gap between available basic soil data and missing soil hydraulic characteristic [J]. Journal of Hydrology,2001,251:123-150
[91]Schaap M G, Leij F J, van Genuchten M Th. Neural network analysis for hierarchical prediction of soil water retention and saturated hydraulic conductivity [J]. Soil Science Society of Americal Journal,1998,62:847-855
[92]G Thim m, E Fiesler. From Natural to Artificial Neural Computation[J]. Lecture Notes in Computer Science,1995,930:535-542
[93]chepsky Y A, Timlin D, Varallyay G. Artificial neural networks to estimate soil water retention from easily measurable data [J]. Soil Science Society of America Journal, 1996,60:727-733
[94]Gupat S. C., Larson W. E. Estimating soil rentention characteristics feom particle size distribution,organic matter percent, and bulk density[J]. Water Resour. Res., 1979,14:1633-1635.
[95]Rawls W. J., Gish T.,J., Brakensiek D. L. Estimating soil water retention from soil physical properties and characteristics[J]. Soil Sci.1991,16:213-234.
[96]Vereecken H., Dies J., Van Orshoven J. et al. Functional evaluation of ped-o-transfer function for the estimation of soil hydraulic properties[J]. Soil Sci Soc A m J.1992,56: 1371-1378.
[97]朱安宁,张佳宝.封丘地区土壤传递函数的研究.土壤学报,2003,40(1)：54-59.
[98]朱安宁.封丘土壤水力学特性及其土壤传递函数的研究[D].南京农业大学资源环境学院,2000年.
[99]项静恬,郭世琪.多元回归模型在实际应用中的几种推广.数理统计与管理,1994,13(3)：48-50.
[100]Schaap M G, Bouten W. Modeling water retention curves of sandy soils using neural network [J]. Water Resources Research,1996,32:3033-3040
[101]Pachepsky Y A, Rawls W J, Gimenez D, Watt J P C. Use of soil penetration resistance and group method of data handling to improving soil water retention estimates [J]. Soil and Tillage Research,1998,49:117-128.
[102]Mualern Y. A new model for predicting the hydraulic conductivity of unsaturated porous media[J]. Water Resour. Res.,1976,12:513-521.
[103]Mckenzie N J, Jacquier D W. Improving the field estimation of saturated hydraulic conductivity in soil survey [J]. Australian Journal of Soil Research,1997,35:803-825.
[104]吴利华,郑垂勇.神经网络模型对城市人才资源总量的预测.科技进步与对策,2004,(8)：100-102.
[105]马军花.传递函数模型的发展和农田尺度下硝态氮淋失的数值预报[D].中国农业大学资源与环境学院,2004.
[106]曹崇文.利用土壤传输函数确定入渗参数的方法研究[D].太原：太原理工大学水利科学与工程学院,2006.64-70.
[107]李雪转,樊贵盛.土壤入渗积水时间预测模型研究[J].土壤学报,2012,49(2)：269-274.
[108]苏力.时间序列分析预测法在降水预报中的应用[J].青海气象,2006,4：12-14.
[109]刘洪斌,武伟.基于神经网络的土壤水分预测建模研究[J].水土保持学报,2003,17(5)：59-62.
[110]冯宝平,陈守伦.用BP网络预测温度对土壤水分入渗的影响[J].水利学报,2003(2)：4-8.
[111]刘洪斌等.土壤水分预测神经网络模型与时间序列模型的比较研究[J].农业工程学报,2003,19(4)：33-36.
[112]于飞,李益农.基于BP网络的畦灌性能模拟及其应用评价[J].灌溉排水学报,2007,26(6)：
[113]中华人民共和国水利部.土工试验规程(SL237-1999)[M].北京：中国水利水电出版社,1999.
[114]解文艳,樊贵盛,土壤结构对土壤入渗能力的影响[J],太原,太原理工大学学报,2004,(4)：381-384.
[115]Alexander E. B.. Bulk densities of Califormia soils in relation to other soil properties[J]. Soil Sci. Soc. Am.,1980,44:689-692.
[116]李卓.土壤机械组成及容重对水分特征参数影响模拟试验研究[D].西北农林科技大学,2009.
[117]张明炷.土壤与农作[M].北京：中国水利水电出版社,1994.
[118]王孟本,柴宝峰,李洪建,等.黄土区人工林的土壤持水力与有效水状况[J].林业科学,1999,35(2)7-4.
[119]樊贵盛,邢述彦等,土壤质地对间歇入渗减渗效果的影响[J],农业工程学报,1998,(2)：250-252.
[120]解文艳,樊贵盛,土壤质地对土壤入渗能力的影响[J],太原,太原理工大学学报,2004,(5)：537-540.
[121]Karathanasis A. D., Hajek B. F..Quantitive evalution of water absorption on soil clays[J]. Soil Sci. Soc. Am.,1982a,46:1321-1325.
[122]Bounma J., Jongerious A., Schoonderbeek D.. Calculation of saturated hydraulic conductivity of some pedal caly soils using micromorphometric data[J]. Soil Sci. Soc. Am.,1979,43:261-264.
[123]Mehta B. K., Shiozawa S., Nakano M. Hydraulic properties of a sandy soil at low water contents[J]. Soil Sci.1994,157:208-214.
[124]李雪转,樊贵盛.土壤有机质含量对土壤入渗能力及入渗参数影响的试验研究[J],农业工程学报,2006,22(3)：59-62.
[125]Rawls W. J. Estimating soil bulk density from particle size analysis and organic matter content[J]. Soil Sci.1983,135:123-126.
[126]Jamison V. C., KROTH e. m.. Available moisture storage capacity in relation to textural composition and organic matter content of several Missouri soils[G]. Soil Sci. Am. Proc.,1958, 22:189-192.
[127]Berman D.Hudson,土壤有机质含量与其有效含水量的关系[J],水土保持科技情报,1995,(1)：51-52
[128]华孟,王坚.土壤物理学[M].北京：北京农业大学出版社,1993.
[129]姚杏安,臧波,吴大伟,土壤含盐量对土壤某些物理性质及棉花产量的影响 [J].2007.(41).58-62.
[130]李新举,张志国,刘勋岭.土壤含盐量对土壤水分蒸发影响的初步研究[j].山东农业大学学报(自然科学版)2000,31(2)：209-210.
[131]王雪.荒地盐渍土土壤入渗规律及其改进措施研究[D].太原理工大学水利科学与工程学院,2009.
[132]Wosten J. H., Van Genuchten M. Th.. Using texture and other soil properties to predict the nusaturated soilbhydraulic function[J]. Soil Sci. Am.,1988,52:1762-1770.
[133]Yatr S. R., Van Genuchten M. Th., Warrick A. W. et al. Analysis of measured, predicted and estimated hydraulic conductivity using the RETC computer program[J]. Soil Sci. Am.,1992, 56:347-354.
[134]黄元仿,李韵株.土壤水力性质的估算——土壤转换函数.土壤学报.2002,39(4)：517-523.
[135]Ghosh R. K.. Estimation of soil-moisture characteristic from mechanical properties of soils[J].Soil Sci.1980,130:60-63.
[136]Rawls W. J., Brakensiek D. L. Estimating soil water retention from soil properties[J]. Irrg. & Drainage Eiv., ASCE 1982 108:166-171.
[137]Saxton K. E., Rawls W. J., Romberger J.S.. Estimating generalized soil water characteristics from texture[J]. Soil Sci.Am.,1983,50:1031-1036.
[138]Vereecken H., Maes J., Feyen J. et al. Estimating the soil moisture retention characteristic from texture, bulk density, and carbom content [J]. Soil Sci.,1989,148: 389-403.
[139]李雪转.非充分供水土壤水分入渗规律的试验研究与过程模拟[D].太原理工大学环境科学与工程学院,2010.
[140]樊贵盛.冻融土壤水分入渗规律与冬灌水过程研究[D].中国农业大学资源与环境学院,2001.
[141]于秀林,任雪松.多元统计分析[M].北京：北京中国统计出版社,2003.
[142]冯宝平,陈守伦.用BP网络预测温度对土壤水分入渗的影响[J].水利学报,2003(2)：4-8.
[143]刘洪斌等.土壤水分预测神经网络模型与时间序列模型的比较研究[J].农业工程学报,2003,19(4)：33-36.
[144]Peck A.J., Luxmoore R.J., Stolzy J. L.. Effect of spatial variability on soil-water properties in water budget model ing[J]. Water Resour. Res.,1977,13:348-354
[145]G Thim m, E Fiesler. From Natural to Artificial Neural Computation[J]. Lecture Notes in Computer Science,1995,930:535-542
[146]J. A. Sobieraj, H. Elsenbeer, R. A. Vertessy. Pedotransfer function for estimating saturated hydraulic conductivity:implications for modeling storm flow generation, Journal of hydrology.2001,251:202-220
[147]李适宇,厉红梅,林亲铁,等.深圳市供水量BP神经网络预测[J].给水排水,2004,30(12)：105-108
[148]吴利华,郑垂勇.神经网络模型对城市人才资源总量的预测[J].科技进步与对策,2004,(8)：100-102。
[149]刘晋刚,韩燮,李华玲.BP神经网络的改进算法的应用[J].华北工学院学报,2002,23(6)：449-451.
[150]董长虹等.Matlab神经网络与应用[M].北京：国防工业出版社,2007.
[151]许东,吴铮.基于MATLAB 6.X的系统分析与设计——神经网络[M].西安：西安电子科技大学出版社,2002.