General 1-D hydrogeological model for temporal near-surface loess saturation assessment for the needs of radon potential mapping

Author:

Kolev Sava

Abstract

Radon gas has high mobility and is driven by advection and diffusion with the soil gas throughout connected and water-unsaturated pores and/or cracks in permeable rocks and soils. Hence the radon potential of the area could be dependent on not only geology as a constant source of radon but also from the changes of the saturation state of the ground. The loess complex, characterized by its permeability and usual state of unsaturation, covers 10% of the Bulgarian territory. The study deals with the principles of unsaturated domain modeling. An attempt of generic vertical infiltration model coinciding with the most upper part of loess vadose zone was performed.

Publisher

Bulgarian Geological Society

Reference21 articles.

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2. Antonov, D., K. Nakamura, T. Kotsev, V. Stoyanova, R. Kretzschmar. 2018. Application of hydrus-1D for evaluation of the vadose zone saturation state in connection with arsenic mobilization and transport in contaminated river floodplain – Ogosta Valley case study, NW Bulgaria. – Proc. 18th Intern. Multidisciplinary Sci. GeoConference “SGEM`2018”, 18, 1.2, 83–90; https://doi.org/10.5593/sgem2018/1.2/S02.011.

3. Antonov, D., T. Kotsev, A. Benderev, N. van Meir, P. Gerginov, V. Stoyanova, E. Tcherkezova. 2019. Estimating the moisture regime in variably-saturated arsenic contaminated alluvial sediments by using HYDRUS-1D with daily meteorological data. – Eur. J. Geogr., 10, 2, 42–55.

4. Benavente, D., J. Valdés-Abellán, C. Pla, E. Sanz-Rubio. 2019. Estimation of soil gas permeability for assessing radon risk using Rosetta pedotransfer function based on soil texture and water content. – J. Environ. Radioact., 208–209, 105992; https://doi.org/10.1016/j.jenvrad.2019.105992.

5. Benderev, A., P. Gerginov, D. Antonov, N. van Meir, R. Kretzschmar. 2015. Conceptual hydrogeological model of the Ogosta river floodplain (Western Balkan, Bulgaria) and its application for predicting of groundwater contamination with arsenic. – Proc. 18th Intern. Multidisciplinary Sci. GeoConference “SGEM`2015”, 2, 1, 195–202; https://doi.org/10.5593/SGEM2015/B12/S2.026.

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