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A universal calibration function for determination of soil moisture with cosmic-ray neutrons

机译:宇宙射线中子测定土壤水分的通用校准功能

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A cosmic-ray soil moisture probe is usually calibrated locally using soilsamples collected within its support volume. But such calibration may bedifficult or impractical, for example when soil contains stones, in presenceof bedrock outcrops, in urban environments, or when the probe is used as arover. Here we use the neutron transport code MCNPx with observed soilchemistries and pore water distribution to derive a universal calibrationfunction that can be used in such environments. Reasonable estimates of porewater content can be made from neutron intensity measurements and by using measurements of the other hydrogen pools (water vapor,soil lattice water, soil organic carbon, and biomass). Comparisons withindependent soil moisture measurements at one cosmic-ray probe site and,separately, at 35 sites, show that the universal calibration functionexplains more than 79% of the total variability within each dataset,permitting accurate isolation of the soil moisture signal from the measuredneutron intensity signal. In addition the framework allows for any of theother hydrogen pools to be separated from the neutron intensity measurements,which may be useful for estimating changes in biomass, biomass water, orexchangeable water in complex environments.
机译:宇宙射线土壤湿度探测器通常使用在其支持体积内收集的土壤样品进行局部校准。但是这样的校准可能是困难的或不切实际的,例如当土壤中包含石头,基岩露头存在时,在城市环境中或当探针用作采样器时。在这里,我们将中子输运代码MCNPx与观察到的土壤化学和孔隙水分布一起使用,以推导出可在此类环境中使用的通用校准功能。可以通过中子强度测量和其他氢池(水蒸气,土壤晶格水,土壤有机碳和生物量)的测量来合理估算孔隙水含量。在一个宇宙射线探针位置以及分别在35个位置进行的土壤湿度独立测量之间的比较表明,通用校准函数解释了每个数据集内总变异性的79%以上,从而允许将土壤水分信号与测得的中子强度进行准确隔离信号。另外,该框架允许将任何其他氢池与中子强度测量值分开,这对于估算复杂环境中的生物量,生物量水或可交换水的变化可能有用。

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