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Prediction of Soil Water Retention And Available Water Of Sandy Soils Using Pedotransfer Functions

机译:使用PEDOT转移功能预测沙土土壤水保留和可用水

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Quantitative knowledge of the unsaturated soil hydraulic properties is required in most studies involving water flow and solute transport in the vadose zone. Direct measurement of such properties is often expensive and time-consuming. In this study, extended nonlinear PTF were established and its prediction performance for soil water retention and available water content were compared to those of artificial network for the Aeolian sandy soils at Beigou in Zhangwu country. PTFs were evaluated based on root mean square errors (RMSE) and mean errors (ME) between the observed and predicted values for the following depth intervals (0-20cm, 20-40cm). Results showed ENR and ANN with bulk density far underestimated soil water at certain suction with ME values ranging from -0.02 to -0.15 cm~3/cm~3, while ANN, ANN with soil water at certain suction overestimated soil water at 10 kPa, 33 kPa, 40 kPa and 200 kPa suctionin with ME values ranging from 0.04 to 0.16 cm~3/cm~3.
机译:在大多数涉及水流动和溶质区的大多数研究中需要定量了解不饱和土水力性能。直接测量此类属性通常昂贵且耗时。在这项研究中,建立了扩展的非线性PTF,并将其对土壤水保留和可用水含量的预测性能与张武北部的北沟的天气砂土壤人工网络进行了比较。基于均方根误差(RMSE)评估PTFS,并且在观察到的和预测值之间的平均误差(ME),用于以下深度间隔(0-20cm,20-40cm)。结果表明,在一定吸附于-0.02至-0.15cm〜3 / cm〜3的情况下,批量密度具有批量密度远低估土壤水分,而ANN,ANN,在10kPa的某些吸水中有土壤水分, 33 kPa,40kPa和200kPa吸入物,ME值范围为0.04至0.16cm〜3 / cm〜3。

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