Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing. Altdorff, D., Oswald, S. E., Zacharias, S., Zengerle, C., Dietrich, P., Mollenhauer, H., Attinger, S., & Schrön, M. Water Resources Research, 59(3):e2022WR033514, March, 2023. ![Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract 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 ∼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. , Key Points The first rail‐borne Cosmic ray neutron sensing system for automatic and continuous soil water content monitoring at the hectare scale is presented The system provided almost uninterrupted data from September 2021 to July 2022 along a 9 km railway track in the Harz low mountains, Germany Results showed spatial pattern, related to surface features, seasonal change, and individual responses of railway parts to wetting and drying
@article{altdorff_toward_2023,
title = {Toward {Large}‐{Scale} {Soil} {Moisture} {Monitoring} {Using} {Rail}‐{Based} {Cosmic} {Ray} {Neutron} {Sensing}},
volume = {59},
issn = {0043-1397, 1944-7973},
url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR033514},
doi = {10.1029/2022WR033514},
abstract = {Abstract
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 ∼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.
,
Key Points
The first rail‐borne Cosmic ray neutron sensing system for automatic and continuous soil water content monitoring at the hectare scale is presented
The system provided almost uninterrupted data from September 2021 to July 2022 along a 9 km railway track in the Harz low mountains, Germany
Results showed spatial pattern, related to surface features, seasonal change, and individual responses of railway parts to wetting and drying},
language = {en},
number = {3},
urldate = {2024-05-16},
journal = {Water Resources Research},
author = {Altdorff, Daniel and Oswald, Sascha E. and Zacharias, Steffen and Zengerle, Carmen and Dietrich, Peter and Mollenhauer, Hannes and Attinger, Sabine and Schrön, Martin},
month = mar,
year = {2023},
pages = {e2022WR033514},
}
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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 ∼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. , Key Points The first rail‐borne Cosmic ray neutron sensing system for automatic and continuous soil water content monitoring at the hectare scale is presented The system provided almost uninterrupted data from September 2021 to July 2022 along a 9 km railway track in the Harz low mountains, Germany Results showed spatial pattern, related to surface features, seasonal change, and individual responses of railway parts to wetting and drying","language":"en","number":"3","urldate":"2024-05-16","journal":"Water Resources Research","author":[{"propositions":[],"lastnames":["Altdorff"],"firstnames":["Daniel"],"suffixes":[]},{"propositions":[],"lastnames":["Oswald"],"firstnames":["Sascha","E."],"suffixes":[]},{"propositions":[],"lastnames":["Zacharias"],"firstnames":["Steffen"],"suffixes":[]},{"propositions":[],"lastnames":["Zengerle"],"firstnames":["Carmen"],"suffixes":[]},{"propositions":[],"lastnames":["Dietrich"],"firstnames":["Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Mollenhauer"],"firstnames":["Hannes"],"suffixes":[]},{"propositions":[],"lastnames":["Attinger"],"firstnames":["Sabine"],"suffixes":[]},{"propositions":[],"lastnames":["Schrön"],"firstnames":["Martin"],"suffixes":[]}],"month":"March","year":"2023","pages":"e2022WR033514","bibtex":"@article{altdorff_toward_2023,\n\ttitle = {Toward {Large}‐{Scale} {Soil} {Moisture} {Monitoring} {Using} {Rail}‐{Based} {Cosmic} {Ray} {Neutron} {Sensing}},\n\tvolume = {59},\n\tissn = {0043-1397, 1944-7973},\n\turl = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR033514},\n\tdoi = {10.1029/2022WR033514},\n\tabstract = {Abstract \n 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 ∼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. \n , \n Key Points \n \n \n \n The first rail‐borne Cosmic ray neutron sensing system for automatic and continuous soil water content monitoring at the hectare scale is presented \n \n \n The system provided almost uninterrupted data from September 2021 to July 2022 along a 9 km railway track in the Harz low mountains, Germany \n \n \n Results showed spatial pattern, related to surface features, seasonal change, and individual responses of railway parts to wetting and drying},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2024-05-16},\n\tjournal = {Water Resources Research},\n\tauthor = {Altdorff, Daniel and Oswald, Sascha E. and Zacharias, Steffen and Zengerle, Carmen and Dietrich, Peter and Mollenhauer, Hannes and Attinger, Sabine and Schrön, Martin},\n\tmonth = mar,\n\tyear = {2023},\n\tpages = {e2022WR033514},\n}\n\n\n\n","author_short":["Altdorff, D.","Oswald, S. 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