Toward Large-Scale Soil Moisture Monitoring Using Rail-Based Cosmic Ray Neutron Sensing

被引:15
作者
Altdorff, Daniel [1 ,2 ]
Oswald, Sascha. E. E. [1 ]
Zacharias, Steffen [3 ]
Zengerle, Carmen [3 ]
Dietrich, Peter [3 ,4 ]
Mollenhauer, Hannes [3 ]
Attinger, Sabine [1 ,2 ]
Schroen, Martin [3 ]
机构
[1] Univ Potsdam, Inst Environm Sci & Geog, Potsdam, Germany
[2] UFZ Leipzig Helmholtz Ctr Environm Res GmbH, Dept Computat Hydrosyst, Leipzig, Germany
[3] UFZ Helmholtz Ctr Environm Res GmbH, Dept Monitoring & Explorat Technol, Leipzig, Germany
[4] Univ Tubingen, Ctr Appl Geosci, Tubingen, Germany
关键词
continuous soil moisture monitoring; soil moisture products; hydrological observations; automatic geophysical roving; root zone soil water; time-series soil water content mapping; WATER CONTENT; SENSORS; FOOTPRINT; DATASETS; NETWORK; BALANCE;
D O I
10.1029/2022WR033514
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cosmic ray neutron sensing (CRNS) has become a promising method for soil water content (SWC) monitoring. Stationary CRNS offers hectare-scale average SWC measurements at fixed locations maintenance-free and continuous in time, while car-borne CRNS roving can reveal spatial SWC patterns at medium scales, but only on certain survey days. The novel concept of a permanent mobile CRNS system on rails promises to combine the advantages of both methods, while its technical implementation, data processing and interpretation raised a new level of complexity. This study introduced a fully automatic CRNS rail-borne system as the first of its kind, installed within the locomotive of a cargo train. Data recorded from September 2021 to July 2022 along an similar to 9 km railway segment were analyzed, as repeatedly used by the train, supported by local SWC measurements (soil samples and dielectric methods), car-borne and stationary CRNS. The results revealed consistent spatial SWC patterns and temporary variation along the track at a daily resolution. The observed variability was mostly related to surface features, seasonal dynamics and different responses of the railway segments to wetting and drying periods, while some variations were related to measurement uncertainties. The achieved medium scale of SWC mapping could support large scale hydrological modeling and detection of environmental risks, such as droughts and wildfires. Hence, rail-borne CRNS has the chance to become a central tool of continuous SWC monitoring for larger scales (<= 10-km), with the additional benefit of providing root-zone soil moisture, potentially even in sub-daily resolution.
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页数:20
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