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首页> 外文期刊>American Journal of Engineering Research >Calibration of Existing Infiltration Models on Different Amended Soils
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Calibration of Existing Infiltration Models on Different Amended Soils

机译:不同改良土壤上现有入渗模型的标定

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摘要

Organic amendments can affect soil properties. The predictive power of selected waterinfiltration models in organic amended soils were evaluated. Ten (10) infiltration models consisting of five (5)empirical (Philip (PH), Kostiakov (KT), Modified Kostiakov (MK), Kostiakov-Lewis (KL) and Natural ResourceConservative Service (NRCS)), Three (3) physically based (Green-Ampt (GA), Smith-Parlange (SP), Talsma-Parlange (TP)) and two semi-empirical ( Swartzendruber (SW) and Horton (HT)), were evaluated for soilsamended with cow dung, poultry litter and Pig dung. Ability of the models to accurately prediction the measuredcumulative infiltration. The study was carried out at University of Uyo experimental plot at Uyo, Akwa Ibom.The field was ploughed to a depth of 20cm in order to mix the manure with the soil. Soil samples were takenfrom each strip, and the tests were repeated two weeks, four weeks and six weeks after manure application. Theamendment with Cow dung increased cumulative infiltration by 56.05%, Poultry litter increased cumulativeinfiltration by 36.43% and Pig dung manure increased cumulative infiltration by 2.6%. The statistical modelwas used to evaluate the model performance. The coefficient of determination ???? between the models simulatedcumulative infiltration and field measured cumulative infiltration ranged from 0.931 to 0.998. The value of themodelling efficiency (??) index ranged from -0.048 to 0.998 while the Mean Absolute Error (??????) rangesfrom -0.955 to 5.454. The values of the coefficient of residual mass (??????) ranged from -1.320 to 0.572. Sevenmodels (NRCS, Philips, Kostiakov, Kostiakov-Lewis, Modified Kostiakov, Talsma-Parlange andSwartzendruber’s model) under-predicted while three models (Green-Ampt, Smith-Parlange and Horton) overpredictedcumulative infiltration. The NRCS’s model had the overall best performance, Kostiakov model hadbest performance amongst the empirically based models, the Talsma-Parlange’s model had the bestperformance in the physically based models, and Horton’s model had the best performance in the semiempiricalgroup respectively. The NRCS’s model were found to be most appropriate for cow dung, Poultrylitter, and the Control while, Kostiakov model were found to be most suitable in the Pig dung amended soil.
机译:有机改性剂会影响土壤特性。评价了选定的水渗透模型在有机改良土壤中的预测能力。十(10)个渗透模型,包括五(5)个经验模型(Philip(PH),Kostiakov(KT),改良的Kostiakov(MK),Kostiakov-Lewis(KL)和自然资源保护服务(NRCS)),三(3)个物理模型评估了基于牛粪,家禽垫料的土壤(绿安培(GA),史密斯-帕兰热(SP),塔尔斯玛-帕兰热(TP)和两个半经验(施瓦岑德鲁伯(SW)和霍顿(HT))的土壤。还有猪粪模型能够准确预测测得的累积入渗量。这项研究是在位于阿夸伊博姆(Uk,Akwa Ibom)的乌约大学(Uyo)的乌约大学实验区进行的。该田被耕种到20厘米深,以便将肥料与土壤混合。从每个试条上取土壤样品,并在施肥后两周,四周和六周重复测试。牛粪的修正使累积入渗增加了56.05%,家禽垫料的累积入渗增加了36.43%,猪粪粪便的累积入渗增加了2.6%。统计模型用于评估模型性能。确定系数????模拟的累积入渗模型和实测的模型之间的累积入渗范围为0.931至0.998。建模效率(Δε)指数的值范围为-0.048至0.998,而平均绝对误差(Δε)的范围为-0.955至5.454。残留质量系数的值(Δε············)在-1.320〜0.572的范围内。 Sevenmodels(NRCS,Philips,Kostiakov,Kostiakov-Lewis,Modified Kostiakov,Talsma-Parlange和Swartzendruber的模型)预测不足,而三个模型(Green-Ampt,Smith-Parlange和Horton)则高估了累积渗透率。在基于经验的模型中,NRCS的模型总体上表现最好,在基于物理的模型中,Kostiakov模型的表现最好,在基于物理的模型中,Talsma-Parlange的模型表现最好,在半经验组中,Horton的模型表现最好。发现NRCS模型最适合于牛粪,家禽和对照,而Kostiakov模型最适合于猪粪改良土壤。

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