1. Estimating soil moisture from environmental gamma radiation monitoring data.
- Author
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Akter, Sonia, Huisman, Johan Alexander, and Bogena, Heye Reemt
- Subjects
CHERNOBYL Nuclear Accident, Chornobyl, Ukraine, 1986 ,COSMIC rays ,GAMMA rays ,STANDARD deviations ,TERRESTRIAL radiation - Abstract
Soil moisture (SM) information is invaluable for a wide range of applications, including weather forecasting, hydrological and land surface modeling, and agricultural production. However, there is still a lack of sensing information that adequately represents root‐zone SM for longer periods and larger spatial scales. One option for root‐zone SM observation is terrestrial gamma radiation (TGR), as it is inversely related to SM. Hence, the near real‐time data of more than 5000 environmental gamma radiation (EGR) monitoring stations archived by the EUropean Radiological Data Exchange Platform (EURDEP) is a potential source to develop a root‐zone SM product for Europe without extra investments in SM sensors. This study aims to investigate to what extent the EURDEP data can be used for SM estimation. For this, two EGR monitoring stations were equipped with in situ SM sensors to measure reference SM. The terrestrial component of EGR was extracted after eliminating the contributions of rain washout and secondary cosmic radiation, and used to obtain a functional relationship with SM. We predicted the weekly volumetric SM with a root mean square error of 7%–9% from TGR measurements. Nevertheless, we believe that this technique, due to its greater penetration depth and long data legacy, can provide useful data complementary to satellite‐based remote sensing techniques to estimate root‐zone SM at the continental scale. Core Ideas: An extensive early warning monitoring network for environmental gamma radiation (EGR) is maintained in Europe.Since soil moisture influences EGR, this database could be used to derive continental soil moisture products.To test this, two monitoring stations in Germany were selected and equipped with reference soil moisture sensors.From the terrestrial component of EGR, soil moisture was determined with an error of 7–9 vol.%. Plain Language Summary: Information on the temporal dynamics of SM across a large area is vital for many sectors. An extensive network for monitoring EGR detectors that has been operated across Europe after the Chernobyl nuclear accident is a potential source for deriving continental‐scale SM information without additional costs. We investigated how accurately SM can be estimated from the data of two of such detectors. The results showed that weekly SM estimates with an accuracy of 0.07–0.09 cm3 cm−3 are feasible after adequate data processing accounting for other factors affecting EGR. We also discussed possible sources that affected the accuracy of the SM estimates and provided directions for further research. Despite the current limitations, EGR data show potential for estimating SM across Europe. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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