首页> 外文期刊>Ecology, Environment and Conservation >Evaluation of kriging and co-kriging methods in estimating soil saturated hydraulic conductivity by using soil texture (Case Study: Fath Ali Irrigation and Drainage Network, Ardabil, Iran)
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Evaluation of kriging and co-kriging methods in estimating soil saturated hydraulic conductivity by using soil texture (Case Study: Fath Ali Irrigation and Drainage Network, Ardabil, Iran)

机译:使用土壤质地评估土壤饱和水力传导率的克里格法和共同克里格法的评估(案例研究:Fath Ali灌溉和排水网络,伊朗阿尔达比勒)

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摘要

The direct measurement of soil hydraulic properties is time consuming and expensive and partly due to the non-homogeneity of the soil and laboratory errors is unreliable. Instead, Soil hydraulic properties can be achieved by quickly replacing data such as soil texture, soil bulk density and by using functions, kriging and co-kriging are such methods which are used for the Soil pedotransfer functions estimating (PTFs). In this study, kriging and co-kriging methods were used to estimate the saturated hydraulic conductivity of the soil by using the properties of the particle size distribution percentage, among the geostatistical methods, Ordinary cokriging has the Best fitting. The best fitted variogram in this method was Exponential model with the nugget effect of zero and the sill of 156 meter that represents the strength of the spatial structure of the region and the full impact of the structural components on variogram model for the region. The data was prepared from 175 soil profiles related to soil and land reform studies of Ardabil Agricultural Organization .The results showed that all of kiriging methods have low accuracy and between the kriging methods (Universal,ordinary,simple) Universal kriging with the regression coefficient of (R~2 =0/54) and error (RMSE =9/74) on the estimating of saturated soil hydraulic conductivity has highest accuracy.In the Ordinary Cokriging method the accurate estimate was estimated with the regression coefficient of (R~2=0/ 93) and error (RMSE =3/21). So Cokriging method in determining the rate of saturated hydraulic conductivity of the soil with high accuracy. However, co-kriging has higher accuracy than kriging methods.
机译:直接测量土壤水力特性既费时又昂贵,部分原因是土壤的不均一性,实验室误差也不可靠。取而代之的是,可以通过快速替换诸如土壤质地,土壤容重之类的数据并通过使用函数来实现土壤水力特性,克里格法和共同克里格法是用于土壤pedotransfer函数估计(PTF)的方法。在这项研究中,使用克里格法和共同克力法通过利用粒度分布百分比的特性来估算土壤的饱和水力传导率,在地统计学方法中,普通的共同克力法最适合。该方法中最适合的变异函数是指数模型,其金块效应为零,底线为156米,代表该区域空间结构的强度以及结构成分对该区域变异函数模型的全部影响。该数据是从与Ardabil农业组织的土壤和土地改革研究有关的175个土壤剖面中得出的,结果表明,所有耕作方法都具有较低的精度,并且介于Kriging方法(通用,普通,简单)之间,通用Kriging的回归系数为(R〜2 = 0/54)和饱和土水力传导率的估计误差(RMSE = 9/74)的准确性最高。在普通Cokriging方法中,使用(R〜2 = 0/93)和错误(RMSE = 3/21)。因此用Cokriging方法可以高精度地确定土壤的饱和导水率。但是,共同克里金比克里金方法具有更高的准确性。

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