An empirical vegetation correction for soil water content quantification using cosmic ray probes
An empirical vegetation correction for soil water content quantification using cosmic ray probes
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DOI：
10.1002/2014wr016443
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发表时间：
2015-04-01
影响因子：
5.4
通讯作者：
Vereecken, H.
中科院分区：
文献类型：
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作者：
Baatz, R.;Bogena, H. R.;Vereecken, H.
宇宙射线探测器是一种新兴技术，可在对陆面过程具有重要意义的尺度上连续监测土壤含水量。然而，这种方法的应用受到其对地上生物量存在的敏感性的阻碍。在这里，我们提出了一个简单的经验框架来解释校准中地上生物量对快中子的缓和。该方法扩展了N-0校准功能，并开发了一个广泛的数据集，从位于鲁尔集水区，德国的10个宇宙射线探测器的网络。结果表明，每1公斤干地上生物量每米（2）或每2公斤生物量水当量每米（2）的快中子强度降低0.9%。我们成功地测试了新的植被校正使用临时宇宙射线探测测量沿着一个强大的梯度，由于森林砍伐的生物量，并使用COSMIC，和hmf方法作为独立的土壤水分含量反演算法。扩展的N-0校准函数能够解释95%的快中子强度的整体变化。
Cosmic ray probes are an emerging technology to continuously monitor soil water content at a scale significant to land surface processes. However, the application of this method is hampered by its susceptibility to the presence of aboveground biomass. Here we present a simple empirical framework to account for moderation of fast neutrons by aboveground biomass in the calibration. The method extends the N-0-calibration function and was developed using an extensive data set from a network of 10 cosmic ray probes located in the Rur catchment, Germany. The results suggest a 0.9% reduction in fast neutron intensity per 1 kg of dry aboveground biomass per m(2) or per 2 kg of biomass water equivalent per m(2). We successfully tested the novel vegetation correction using temporary cosmic ray probe measurements along a strong gradient in biomass due to deforestation, and using the COSMIC, and the hmf method as independent soil water content retrieval algorithms. The extended N-0-calibration function was able to explain 95% of the overall variability in fast neutron intensity.