Spatial multi-criteria approaches for estimating geogenic radon hazard index

Masoumi, Iman; Maggio, Sabrina; De Iaco, Sandra; Ghezelbash, Reza

doi:10.1016/j.scitotenv.2024.176419

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.176419

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Spatial multi-criteria approaches for estimating geogenic radon hazard index

Iman Masoumi,

Sabrina Maggio,

Sandra De Iaco

et al.

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Cited by 2 publications

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An Advanced Spatial Approach Based on Multi-criteria Analysis and Geostatistical Simulation for a Comprehensive Geogenic Radon Hazard Index Mapping

Masoumi,

Maggio,

De Iaco

2024

JABES

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Radon concentration originates mainly from geogenic factors, such as uranium content, permeability based on rock unit and tectonic features, as well as karst properties. In this paper, these layers are integrated through a joint spatial multi-criteria approach based on Analytical Hierarchy Process and Fuzzy Gamma Operator techniques, as well as on the Receiver Operating Characteristic curves in order to compare output maps and classify them to construct a Geogenic Radon Hazard Index for Lecce Province in southeastern Italy. To this end, two main criteria and their sub-criteria are defined as contributing factors: geology (uranium content in bedrock, permeability rate in different lithotypes, and faults) and karst features (dolines, caves, and sinkholes). Furthermore, the spatial multi-criteria results, also confirmed by the indoor radon maps generated through Sequential Gaussian Simulations, show that the sites rich primarily in uranium content in bedrock, faults, and sinkholes can be identified as the most critical areas. Finally, the evaluation of the performance is completed through the Success Rate Curve, which demonstrates the efficiency of the Fuzzy Gamma Operator method and corroborates that this innovative spatial multi-criteria approach can support the production of reliable maps of high radon potential areas. This approach encourages the development of effective risk reduction strategies for future planning and targeted sampling in areas with limited indoor radon data.

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An Advanced Spatial Approach Based on Multi-criteria Analysis and Geostatistical Simulation for a Comprehensive Geogenic Radon Hazard Index Mapping

Masoumi,

Maggio,

De Iaco

2024

JABES

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Preliminary Results of the Kuznetsk Coal Basin Cover Deposits Radon Hazard Assessment

Leshukov,

Legoshchin,

Baranova

et al. 2025

Geosciences

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The study of the influence of geological structure (e.g., faults) on radon emanations is usually applicable provided that there are conditionally background (control) territories with which radon indicators will be compared. In the presented study, we selected an area where pre-Cenozoic faults that could potentially be associated with the radon hazard of the Kuznetsk coal basin were not identified. The cover deposits in the study area are represented by loamy and clayey strata overlying the Paleozoic sedimentary cycles. The radon field was estimated based on the radon flux density (RFD) and radon activity concentration (RAC) in the soil gas. The RAC was measured in two ways—by the sorption method on activated carbon and by the method of active sampling of soil gas from a borehole. At the same time, the role of meteorological conditions and the physical properties of the soil in the radon field was assessed. Our study shows that local variations in the physical properties of the soil are insignificant and do not have a significant effect on the RAC in the soil gas of the Kuznetsk coal basin, with the exception of soil moisture. High values of RAC in the territory considered as conditionally background, in the absence of pre-Cenozoic faults, suggest other causes (the presence of the latest Neogene–Quaternary faults, high concentrations of 226Ra, or other insufficiently studied causes). Due to the absence of faults, it is possible to assume a diffusion type of radon transfer in the geological environment, which indicates a shallow source of radon in such high concentrations. Our results indicate that studies of the 226Ra content and additional studies of the radon hazard of similar areas should also be carried out.

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Spatial multi-criteria approaches for estimating geogenic radon hazard index

Cited by 2 publications

References 60 publications

An Advanced Spatial Approach Based on Multi-criteria Analysis and Geostatistical Simulation for a Comprehensive Geogenic Radon Hazard Index Mapping

An Advanced Spatial Approach Based on Multi-criteria Analysis and Geostatistical Simulation for a Comprehensive Geogenic Radon Hazard Index Mapping

Preliminary Results of the Kuznetsk Coal Basin Cover Deposits Radon Hazard Assessment

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