Home > Publications database > Soil Moisture and Air Humidity Dependence of the Above-Ground Cosmic-Ray Neutron Intensity > print |
001 | 903173 | ||
005 | 20240507205537.0 | ||
024 | 7 | _ | |a 10.3389/frwa.2020.544847 |2 doi |
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100 | 1 | _ | |a Köhli, Markus |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
245 | _ | _ | |a Soil Moisture and Air Humidity Dependence of the Above-Ground Cosmic-Ray Neutron Intensity |
260 | _ | _ | |a Lausanne |c 2021 |b Frontiers Media |
336 | 7 | _ | |a article |2 DRIVER |
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520 | _ | _ | |a Investigations of neutron transport through air and soil by Monte Carlo simulations led to major advancements toward a precise interpretation of measurements; they particularly improved the understanding of the cosmic-ray neutron footprint. Up to now, the conversion of soil moisture to a detectable neutron count rate has relied mainly on the equation presented by Desilets and Zreda in 2010. While in general a hyperbolic expression can be derived from theoretical considerations, their empiric parameterization needs to be revised for two reasons. Firstly, a rigorous mathematical treatment reveals that the values of the four parameters are ambiguous because their values are not independent. We found a three-parameter equation with unambiguous values of the parameters that is equivalent in any other respect to the four-parameter equation. Secondly, high-resolution Monte-Carlo simulations revealed a systematic deviation of the count rate to soil moisture relation especially for extremely dry conditions as well as very humid conditions. That is a hint that a smaller contribution to the intensity was forgotten or not adequately treated by the conventional approach. Investigating the above-ground neutron flux through a broadly based Monte-Carlo simulation campaign revealed a more detailed understanding of different contributions to this signal, especially targeting air humidity corrections. The packages MCNP and URANOS were used to derive a function able to describe the respective dependencies, including the effect of different hydrogen pools and the detector-specific response function. The new relationship has been tested at two exemplary measurement sites, and its remarkable performance allows for a promising prospect of more comprehensive data quality in the future. |
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588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Weimar, Jannis |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Schrön, Martin |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Baatz, Roland |0 P:(DE-Juel1)144513 |b 3 |
700 | 1 | _ | |a Schmidt, Ulrich |0 P:(DE-HGF)0 |b 4 |
773 | _ | _ | |a 10.3389/frwa.2020.544847 |g Vol. 2, p. 544847 |0 PERI:(DE-600)2986721-6 |p 544847 |t Frontiers in water |v 2 |y 2021 |x 2624-9375 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/903173/files/frwa-02-544847.pdf |y OpenAccess |
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