Factorial kriging for estimating and mapping the geochemical background from in situ gamma dose rate measurements downstream of a former uranium mine
| Autor: | Pascale Blanchart, Alkiviadis Gourgiotis, Mathieu Le Coz, Arnaud Mangeret |
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| Přispěvatelé: | PSE-ENV/SEDRE/LELI, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-ENV/SEDRE/USDR |
| Rok vydání: | 2021 |
| Předmět: |
In situ
010504 meteorology & atmospheric sciences Health Toxicology and Mutagenesis Soil science Radiometric data Geostatistics 010501 environmental sciences Factorial kriging 01 natural sciences Mining Gamma dose Kriging Radiation Monitoring Environmental Chemistry Soil Pollutants Radioactive Waste Management and Disposal 0105 earth and related environmental sciences Spatial Analysis Sediment General Medicine Pollution Exploratory data analysis [SDE]Environmental Sciences Environmental science Uranium Environmental Monitoring |
| Zdroj: | Journal of Environmental Radioactivity Journal of Environmental Radioactivity, Elsevier, 2021, 237, pp.106681. ⟨10.1016/j.jenvrad.2021.106681⟩ |
| ISSN: | 1879-1700 0265-931X |
| Popis: | International audience; A geostatistical approach is applied for extracting the geochemical background from gamma dose rate data acquired downstream of a former French uranium mining area. The exploratory data analysis shows that the spatial structure of the gamma dose rate consists of two components: a short isotropic component (10 m-range) that corresponds to the geochemical background; and a long anisotropic component (30–60 m-range) that corresponds to the drainage network features previously fed by the mine discharge water. The gamma dose rate on the whole area of interest was estimated and simulated (to deal with uncertainties) through a kriging of the measured values. The spatial component related to the geochemical background was then extracted through factorial kriging. The proportion of the gamma dose rate explained by the geochemical background according to factorial kriging is consistent within uncertainties with geochemical analyses performed on soil and sediment samples. This study thus highlights the potential of such geostatistical approaches for better exploiting radiometric data. |
| Databáze: | OpenAIRE |
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