High-resolution space–time quantification of soil moisture along a hillslope using joint analysis of ground penetrating radar and frequency domain reflectometry data
High-resolution space–time quantification of soil moisture along a hillslope using joint analysis of ground penetrating radar and frequency domain reflectometry data
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DOI：
10.1016/j.jhydrol.2015.01.065
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发表时间：
2015-04
影响因子：
6.4
通讯作者：
A. Tran;P. Bogaert;F. Wiaux;M. Vanclooster;S. Lambot
中科院分区：
文献类型：
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作者：
A. Tran;P. Bogaert;F. Wiaux;M. Vanclooster;S. Lambot
结合探地雷达（GPR）和频域反射（FDR）技术，研究了沿着坡土壤水分的时空变异性。在2011年沿着的比利时壤土带的一个耕作山坡上，在23/03-08/06期间，每周进行一次延时GPR和FDR测量。将全波探地雷达模型、土壤介质混合模型和德拜方程相结合，利用探地雷达测量数据直接估算土壤湿度。测量的GPR数据很好地再现了全波GPR模型，导致GPR和FDR派生的土壤水分之间的相对较好的协议。随后，我们合并了土壤水分从这两种技术中获得的数据融合框架，我们调查了其空间和时间的变化。结果表明，土壤水分的空间变异与地形、时间变异与降雨量之间均存在高度的相关性。时间稳定性分析表明，坡脚土壤含水量高于坡顶和坡背，且稳定性较好。所提出的方法似乎是有前途的评估土壤水分在山坡尺度具有较高的时空分辨率。
We combined ground-penetrating radar (GPR) and frequency domain reflectometry (FDR) to assess the space–time variability of soil moisture along a hillslope. Time-lapse GPR and FDR measurements were conducted weekly during the period 23/03–08/06/2011 along a cultivated hillslope in the Belgian loam belt. A full-wave GPR model, a soil dielectric mixing model and the Debye equation were combined to directly estimate soil moisture from GPR measurements. Measured GPR data were well reproduced by the full-wave GPR model, resulting in a relatively good agreement between the GPR and FDR-derived soil moisture. Subsequently, we merged the soil moisture obtained from both techniques in a data fusion framework and we investigated its spatial and temporal variability. The results indicate that there was a high correlation between the spatial variability of soil moisture and topography as well as between its temporal variability and rainfall. A temporal stability analysis showed that soil moisture at the footslope is higher and more stable than that at the summits and backslopes. The proposed approach appears to be promising for assessing soil moisture at the hillslope scale with a relatively high space–time resolution.