Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Neutron Probe Data Processing: Calibration and Conversion to Water Content using Nuclear Magnetic Resonance, and Uncertainty Analysis
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 17.2 MB | |
Created: | Feb 07, 2025 at 9:18 p.m. (UTC) | |
Last updated: | Jul 23, 2025 at 12:06 a.m. (UTC) | |
Published date: | Jul 23, 2025 at 12:06 a.m. (UTC) | |
DOI: | 10.4211/hs.72997c6533b14ee7b3f857c1edc60cec | |
Citation: | See how to cite this resource | |
Content types: | File Set Content CSV Content |
Sharing Status: | Published |
---|---|
Views: | 44 |
Downloads: | 0 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This data repository houses neutron probe data and processing information for projects at UC Berkeley's Blue Oak Ranch Reserve (BORR) investigating vadose zone moisture dynamics across hillslopes with opposing aspects.
Throughout our field studies, we encountered several challenges with interpreting the neutron probe data. First, there were many dates where the neutron probe did not pass an in-field chi-squared test indicating that the probe was not producing accurate estimates of neutron counts. Second, in several instances, we encountered anomalous increases or decreases in neutron counts across surveys between time periods where there were no precipitation inputs or evapotranspiration, thus, no significant change in moisture content and neutron count was expected. This indicates that the instrument was likely experiencing drift which has been observed in several previous studies (e.g., Hoedlmoser et al. 2012; Vachaud, Royer, and Cooper 1977; Yao et al. 2004; Zhang 2017). To account for these issues, we eliminated survey dates that failed the chi-squared test or produced anomalous count values. We then quantified the amount of instrument drift by averaging measurements across multiple survey periods at depths in the borehole where no change in neutron count was expected to apply a drift correction. Data, scripts, and further explanation for neutron probe data processing is available as part of this Hydroshare resource.
This research was supported by the National Science Foundation CAREER Grant (Award 2046957), Mildred E. Mathias Graduate Student Research Grant by the University of California Natural Reserve System, and the Betty and Gordon Moore Foundation.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
README.txt
Neutron Probe Data Processing: Calibration and Conversion to Water Content using Nuclear Magnetic Resonance, and Uncertainty Analysis Throughout our field studies, we encountered several challenges with interpreting the neutron probe data. First, there were many dates where the neutron probe did not pass an in-field chi-squared test indicating that the probe was not producing accurate estimates of neutron counts. Second, in several instances, we encountered anomalous increases or decreases in neutron counts across surveys between time periods where there were no precipitation inputs or evapotranspiration, thus, no significant change in moisture content and neutron count was expected. This indicates that the instrument was likely experiencing drift which has been observed in several previous studies (e.g., Hoedlmoser et al. 2012; Vachaud, Royer, and Cooper 1977; Yao et al. 2004; Zhang 2017). To account for these issues, we eliminated survey dates that failed the chi-squared test or produced anomalous count values. We then quantified the amount of instrument drift by averaging measurements across multiple survey periods at depths in the borehole where no change in neutron count was expected to apply a drift correction. Data, scripts, and further explanation for neutron probe data processing is available as part of this Hydroshare resource. Data_Processing_Description.pdf offers a throrough description of the processing workflow, providing explanation for why and how data was processed. The Neutron_Data folder contains Raw_Neutron_Data.csv in addition to the Corrected_Data folder, which contains corrected neutron data for each borehole: N4W1, N4W2, N4P1, N4P2, N4P3, N4P4, N3W1, N1P2, S3P1, S3P2, S2P1, and S1P2. The NMR_Data folder contains all NMR data: 1Dvectors.csv, logMetadata.csv, SEdecay.csv, T2bins.csv, and T2dist.csv. The Scripts folder contains all .pynb files necessary for the data processing and figure creation. The intial neutron probe data correction and inspection is done by slope, equator-facing and pole-facing. Each folder, Equator-Facing Boreholes and Pole-Facing Boreholes, contains the scripts 0_inspect_uncorrected, 1_correct_neutron_probe_visual, 2_apply_correction, and 3_inspect_corrected. These scripts should be run in this order. 4_PlotCounts_wet_dry_survey_diff.pynb plots the corrected neutron data, and 5_Calibration_nmr_np.pynb investigates different relationships between the NMR and nuetron probe data in order to relate neutron counts to volumetric water content.
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment