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Functional Evaluation of Pedotransfer Functions Derived from Different Scales of Data Collection

机译：来自不同规模数据收集的Pedotransfer函数的功能评估

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Estimation of soil hydraulic properties by pedotransfer functions (PTFs) can be an alternative to troublesome and expensive measurements. New approaches to develop PTFs are continuously being introduced, however, PTF applicability in locations other than those of data collection has been rarely reported. We used three databases were used to develop PTFs using artificial neural networks (NNs). Data from Hungary were used to derive national scale soil hydraulic PTFs. The HYPRES database was used to develop continental scale PTFs. Finally, a database containing mostly American and European data was used to develop intercontinental scale PTFs. For each database, 11 PTFs were developed that differed in detail of input data. Accuracy of the estimations was tested using independent Hungarian data. First, soil water retention at nine values of matric potential were estimated. Root mean squared residuals (RMSRs) using different inputs ranged from 0.02 to 0.06 m3 m-3 for national scale PTFs, while international scale PTFs had RMSRs from 0.025 to 0.088 m3 m-3. Estimated water retention curves (WRCs) were then used to simulate soil moisture time series of seven Hungarian soils. Root mean squared residuals during a growing season ranged from 0.065 to 0.07 m3 m-3, using different PTF estimates. Simulations using laboratory-measured WRCs had RMSR of 0.061 m3 m-3. Such small differences in the accuracy of simulations make international PTFs an alternative to national PTFs and measurements. However, testing of the international PTFs with a specific model for specific soil and land use remains desirable because of uncertainty in soil representation in such databases.
机译：通过pedotransfer函数 （PTF）估算土壤水力特性可以替代麻烦而昂贵的测量。 不断引入开发PTF的新方法， 但是，很少有人报告了除 数据收集之外的其他地方PTF的适用性。我们使用了三个数据库 来使用人工神经网络（NNs）开发PTF。 使用匈牙利的数据来推导国家规模的土壤水力 PTF 。 HYPRES数据库用于开发大陆规模 PTF。最后，使用一个主要包含美国和欧洲 数据的数据库来开发洲际规模的PTF。对于每个 数据库，开发了11个PTF，它们在 输入数据的细节上有所不同。使用独立的 匈牙利数据测试了估计的准确性。首先，估计土壤保水量在 矩阵势的9个值处。使用国家/地区不同输入的均方根均方根 （RMSRs）为0.02至0.06 m 3 m -3 规模的PTF，而国际规模的PTF的 RMSR从0.025到0.088 m 3 m -3 。然后使用估计的保水量 曲线（WRC）来模拟7种匈牙利土壤的土壤水分时间 系列。使用 不同的PTF，生长季节内的均方根残差 在0.065至0.07 m 3 m -3 范围内估计。使用实验室测量的 WRC进行的模拟的RMSR为0.061 m 3 m -3 。模拟的 准确性上的微小差异使国际PTF成为国家PTF和度量的替代 。但是，由于特定 数据库中土壤表示的不确定性，使用特定土壤和土地用途的特定模型对国际 PTF进行测试仍然是理想的。

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    《Soil Science Society of America Journal》 |2003年第4期|1093-1102|共10页
  • 作者

    A. Nemes; M. G. Schaap; J. H. M. W?sten;

  • 作者单位

    USDA-ARS Hydrology and Remote Sensing Lab., 10300 Baltimore Ave. Bldg. 007 Rm. 124, BARC-WEST, Beltsville, MD 20705-2350, USA,ALTERRA Green World Res., P.O. Box 47, 6700 AA Wageningen, The Netherlands;

    USDA-ARS, George E. Brown Jr. Salinity Lab., 450 W. Big Springs Road, Riverside, CA 92507,ALTERRA Green World Res., P.O. Box 47, 6700 AA Wageningen, The Netherlands;

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