4.0 Article

Probability Health Risk Assessment and Measurement Uncertainty Estimation Related to Internal Exposure to Natural Radionuclides from Soil

Journal

MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA
Volume 31, Issue 2, Pages 97-105

Publisher

METROLOGY SOC INDIA
DOI: 10.1007/s12647-015-0161-1

Keywords

Health risk assessment; Monte Carlo method; Uncertainty analysis; Radionuclides; Gamma spectrometry; Soil

Funding

  1. project Physics and Chemistry with Ion Beams [III45006]
  2. project Joint research of measurements and effects of ionizing and UV radiation in medicine and environmental protection [III43011]
  3. Ministry of Education, Science and Technological Development of Republic of Serbia

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The purpose of this paper was to develop methodology and to assess cancer mortality risks with assigned measurement uncertainty related to lifetime internal exposure to natural radionuclides U-238 and Th-232 from soil. Included exposure pathways were inhalation and direct ingestion of dust particles originating from soil. Total of 80 samples were collected at 23 locations that belong to meteorological stations under control of Republic Hydrometeorological Service of Serbia. Activity concentration of radionuclides was measured using HPGe detector. Probability risk assessment and measurement uncertainty analysis was conducted using Monte Carlo method. For location with highest measured activity concentration, assessed cancer mortality risk for U-238 is 0.185 x 10(-6) with coverage interval of (0.0184-0.702) x 10(-6) for ingestion exposure and 0.179 x 10(-6) with coverage interval of (0.00514-1.33) x 10(-6) for inhalation exposure. Mean value for assessed cancer mortality risk for Th-232 is 0.582 x 10(-6) with coverage interval of (0.0222-2.79) x 10(-6) for ingestion exposure and 1.11 x 10(-6) with coverage interval of (0.0319-8.27) x 10(-6) for inhalation exposure. Coverage interval contains the value of assessed risk with the probability of 95 %. Assessed risks in this paper have low priority for further investigation because they are equal or lower than 10(-6). Probability risk assessment introduces uncertainty analysis in convenient way and enables researches and decision-makers to improve quality of their results and decisions.

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