Result: pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.
Title:
pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.
Source:
Health physics [Health Phys] 2025 Jul 07. Date of Electronic Publication: 2025 Jul 07.
Publication Model:
Ahead of Print
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985093R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-5159 (Electronic) Linking ISSN: 00179078 NLM ISO Abbreviation: Health Phys Subsets: MEDLINE
Imprint Name(s):
Publication: <2003->: Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: New York.
Original Publication: New York.
References:
AERB. Methodology for radiological impact assessment of nuclear power plants under postulated accident conditions, AERB Safety Manual No. AERB/NPP/SM/RIA-1. Technical Report. Mumbai, India: Atomic Energy Regulatory Board; 2021.
AERB. Methodology for radiological impact assessment for public dose computation and dose apportionment during operational states of nuclear facility, AERB Safety Guide No. AERB/SM/RIA-2(Rev.0). Technical Report. Mumbai, India: Atomic Energy Regulatory; 2022.
Barescut J, Yu C, Gnanapragasam E, Biwer B, Cheng JJ, Kamboj S, Klett T, Zielen A, Williams WA, Domotor S, Wallo A. 2009. RESRAD-offsite—a new member of the RESRAD family of codes. Radioprot 44:659–664; 2009.
Barnett CL, Belli M, Beresford NA, Bossew P, Boyer P, Brittain JE, Calmon P, Carini F, Choi YH, Ciffroy P, Colle C. Quantification of radionuclide transfer in terrestrial and freshwater environments for radiological assessments. Vienna: IAEA; IAEA-tecdoc-1616; 2009.
Chino M, Ishikawa H. Experimental verification study for system for prediction of environmental emergency dose information: Speedi,(ii) simulation of field tracer experiments at isolated mountain. J Nucl Sci Technol 25:805–815; 1988.
Dey R, Patni H, Singh KD, Kulkarni M, Anand S. Effective dose conversion coefficient for gamma ray exposure from an overhead plume. Phys Med Biol 64:155001; 2019.
Eckerman KF, Leggett RW, Nelson CB, Puskin JS, Richardson AC. External exposure to radionuclides in air, water, and soil: Federal Guidance Report No. 15. Washington, DC: US Environmental Protection Agency; Technical Report EPA 402-R-19-002; 2019.
Eckerman KF, Ryman J.C., 1993. External exposure to radionuclides in air, water, and soil: Federal Guidance Report No. 12 (FGR 12). Washington, DC: US Environmental Protection Agency; Technical Report EPA 402-R-93-081; 1993.
Fritz BG, Phillips NR. Use of CAP88 pc to infer differences in the chemical form of 129I emitted from a fuel reprocessing facility. J Environment Radioact 120:1–5; 2013.
Hukkoo R, Bapat V, Shirvaikar V. Manual of dose evaluation from atmospheric releases. Technical Report. Mumbai, India: Bhabha Atomic Research Centre; 1988.
International Atomic Energy Agency. Atmospheric dispersion models for application in relation to radionuclide releases. Vienna: IAEA; Technical Report IAEA-TECDOC-379. 1986. [Published as a technical report, this document reviews various atmospheric dispersion models applicable to radionuclide releases, providing insights into methodologies and applications relevant to nuclear safety and emergency response.].
International Atomic Energy Agency. Generic models for use in assessing the impact of discharges of radioactive substances to the environment. Vienna: IAEA; Volume 19 of Safety Reports Series; 2001. Available at https://www.iaea.org/publications/6196/generic-models-for-use-in-assessing-the-impact-of-discharges-of-radioactive-substances-to-the-environment. Accessed 2 June 2025.
International Atomic Energy Agency. Update of x ray and gamma ray decay data standards for detector calibration and other applications. Technical Report. Vienna: IAEA; 2007. Available at https://www-pub.iaea.org/MTCD/publications/PDF/Pub1287_Vol1_web.pdf. Accessed 2 June 2025.
International Atomic Energy Agency. Prospective radiological environmental impact assessment for facilities and activities. Vienna: IAEA; 2023.
ICRP. The 2007 recommendations of the International Commission on Radiological Protection. Annals of the ICRP 37; 2007. DOI:10.1016/j. icrp.2007.10.003. (PMID: 10.1016/j. icrp.2007.10.003)
ICRP. Nuclear decay data for dosimetric calculations. Elsevier; ICRP Publication 107, Volume 38 of Annals of the ICRP; 2008. DOI:10.1016/ j.icrp.2008.10.004.
ICRP. Compendium of dose coefficients based on ICRP publication 60. Oxford: Pergamon Press; Annals of the ICRP 41; 2012.
International Energy Agency. The path to a new era for nuclear energy [online]. 2025. Available at https://www.iea.org/reports/the-path-to-a-new-era-for-nuclear-energy/executive-summary. Accessed 2 June 2025.
JAERI. JAERI-Data/Code 2002-013: Dose coefficients for inhalation and ingestion of radionuclides. Technical Report. Tokyo, Japan: Japan Atomic Energy Research Institute; 2002.
Karmakar S, Srinivas C, Rakesh P, Gopalakrishnan V, Chandrasekaran S, Athmalingam S, Venkatraman B. Development of a numerical model for sector-average plume gamma dose and its validation with dose rate measurements at Kalpakkam NPP site, India. J Environment Radioact 255:107029; 2022.
Krishan J, Anand S, Bhargava P, Jesan T, Singh KD, Tripathi R. Estimation of external plume dose for a coastal site. Nucl Engin Design 333:235–239; 2018.
Kuntjoro S, Setiawan MB, Adi WN, et al. Development a computer codes to couple pwr-gale output and pc-cream input. In: Journal of Physics: Conference Series. Bristol, UK: IOP Publishing; 2018: 012041.
McGuire SA. A regulatory analysis on emergency preparedness for fuel cycle and other radioactive material licensees. Technical report. Washington, DC: Nuclear Regulatory Commission, Division of Reactor Safety; 1988.
Oza R, Bapat V, Nair R, Hukkoo R, Krishnamoorthy T. EDPUFF—a Gaussian dispersion code for consequence analysis. Technical report. Mumbai, India: Bhabha Atomic Research Centre; 1995.
Pasquill F. The estimation of the dispersion of windborne material. Meteoro Mag 90:20–49; 1961.
Rout S, Mishra D, Ravi P, Pulhani V, Tripathi R. Radcom: Radiation dose computation model—a software for radiological impact assessment. Progress Nucl Energy 118:103141; 2020.
Turner DB. Workbook of atmospheric dispersion estimates. Washington, DC: US Environmental Protection Agency; 1970.
US DOE. Derived concentration technical standard. Technical report. Washington, DC: US Department of Energy; DOE-STD-1196-2011; 2011.
US EPA. EPA Technical report, technical background document to support final rulemaking pursuant to Section 102 of the Comprehensive Environmental Response, Compensation and Liability Act: Radionuclides, a report to the Emergency Response Division, Office of Emergency and Remedial Response (report prepared by ICF Incorporated and C-E Environmental, EPA Contract 68-03-3452). Washington, DC: US Environmental Protection Agency; 1989.
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat İ, Feng AH, Pedregosa F, van Mulbregt P. SciPy 1.0 contributors, 2020. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Meth 17:261–272; 2020. DOI:10.1038/s41592-019-0686.
AERB. Methodology for radiological impact assessment for public dose computation and dose apportionment during operational states of nuclear facility, AERB Safety Guide No. AERB/SM/RIA-2(Rev.0). Technical Report. Mumbai, India: Atomic Energy Regulatory; 2022.
Barescut J, Yu C, Gnanapragasam E, Biwer B, Cheng JJ, Kamboj S, Klett T, Zielen A, Williams WA, Domotor S, Wallo A. 2009. RESRAD-offsite—a new member of the RESRAD family of codes. Radioprot 44:659–664; 2009.
Barnett CL, Belli M, Beresford NA, Bossew P, Boyer P, Brittain JE, Calmon P, Carini F, Choi YH, Ciffroy P, Colle C. Quantification of radionuclide transfer in terrestrial and freshwater environments for radiological assessments. Vienna: IAEA; IAEA-tecdoc-1616; 2009.
Chino M, Ishikawa H. Experimental verification study for system for prediction of environmental emergency dose information: Speedi,(ii) simulation of field tracer experiments at isolated mountain. J Nucl Sci Technol 25:805–815; 1988.
Dey R, Patni H, Singh KD, Kulkarni M, Anand S. Effective dose conversion coefficient for gamma ray exposure from an overhead plume. Phys Med Biol 64:155001; 2019.
Eckerman KF, Leggett RW, Nelson CB, Puskin JS, Richardson AC. External exposure to radionuclides in air, water, and soil: Federal Guidance Report No. 15. Washington, DC: US Environmental Protection Agency; Technical Report EPA 402-R-19-002; 2019.
Eckerman KF, Ryman J.C., 1993. External exposure to radionuclides in air, water, and soil: Federal Guidance Report No. 12 (FGR 12). Washington, DC: US Environmental Protection Agency; Technical Report EPA 402-R-93-081; 1993.
Fritz BG, Phillips NR. Use of CAP88 pc to infer differences in the chemical form of 129I emitted from a fuel reprocessing facility. J Environment Radioact 120:1–5; 2013.
Hukkoo R, Bapat V, Shirvaikar V. Manual of dose evaluation from atmospheric releases. Technical Report. Mumbai, India: Bhabha Atomic Research Centre; 1988.
International Atomic Energy Agency. Atmospheric dispersion models for application in relation to radionuclide releases. Vienna: IAEA; Technical Report IAEA-TECDOC-379. 1986. [Published as a technical report, this document reviews various atmospheric dispersion models applicable to radionuclide releases, providing insights into methodologies and applications relevant to nuclear safety and emergency response.].
International Atomic Energy Agency. Generic models for use in assessing the impact of discharges of radioactive substances to the environment. Vienna: IAEA; Volume 19 of Safety Reports Series; 2001. Available at https://www.iaea.org/publications/6196/generic-models-for-use-in-assessing-the-impact-of-discharges-of-radioactive-substances-to-the-environment. Accessed 2 June 2025.
International Atomic Energy Agency. Update of x ray and gamma ray decay data standards for detector calibration and other applications. Technical Report. Vienna: IAEA; 2007. Available at https://www-pub.iaea.org/MTCD/publications/PDF/Pub1287_Vol1_web.pdf. Accessed 2 June 2025.
International Atomic Energy Agency. Prospective radiological environmental impact assessment for facilities and activities. Vienna: IAEA; 2023.
ICRP. The 2007 recommendations of the International Commission on Radiological Protection. Annals of the ICRP 37; 2007. DOI:10.1016/j. icrp.2007.10.003. (PMID: 10.1016/j. icrp.2007.10.003)
ICRP. Nuclear decay data for dosimetric calculations. Elsevier; ICRP Publication 107, Volume 38 of Annals of the ICRP; 2008. DOI:10.1016/ j.icrp.2008.10.004.
ICRP. Compendium of dose coefficients based on ICRP publication 60. Oxford: Pergamon Press; Annals of the ICRP 41; 2012.
International Energy Agency. The path to a new era for nuclear energy [online]. 2025. Available at https://www.iea.org/reports/the-path-to-a-new-era-for-nuclear-energy/executive-summary. Accessed 2 June 2025.
JAERI. JAERI-Data/Code 2002-013: Dose coefficients for inhalation and ingestion of radionuclides. Technical Report. Tokyo, Japan: Japan Atomic Energy Research Institute; 2002.
Karmakar S, Srinivas C, Rakesh P, Gopalakrishnan V, Chandrasekaran S, Athmalingam S, Venkatraman B. Development of a numerical model for sector-average plume gamma dose and its validation with dose rate measurements at Kalpakkam NPP site, India. J Environment Radioact 255:107029; 2022.
Krishan J, Anand S, Bhargava P, Jesan T, Singh KD, Tripathi R. Estimation of external plume dose for a coastal site. Nucl Engin Design 333:235–239; 2018.
Kuntjoro S, Setiawan MB, Adi WN, et al. Development a computer codes to couple pwr-gale output and pc-cream input. In: Journal of Physics: Conference Series. Bristol, UK: IOP Publishing; 2018: 012041.
McGuire SA. A regulatory analysis on emergency preparedness for fuel cycle and other radioactive material licensees. Technical report. Washington, DC: Nuclear Regulatory Commission, Division of Reactor Safety; 1988.
Oza R, Bapat V, Nair R, Hukkoo R, Krishnamoorthy T. EDPUFF—a Gaussian dispersion code for consequence analysis. Technical report. Mumbai, India: Bhabha Atomic Research Centre; 1995.
Pasquill F. The estimation of the dispersion of windborne material. Meteoro Mag 90:20–49; 1961.
Rout S, Mishra D, Ravi P, Pulhani V, Tripathi R. Radcom: Radiation dose computation model—a software for radiological impact assessment. Progress Nucl Energy 118:103141; 2020.
Turner DB. Workbook of atmospheric dispersion estimates. Washington, DC: US Environmental Protection Agency; 1970.
US DOE. Derived concentration technical standard. Technical report. Washington, DC: US Department of Energy; DOE-STD-1196-2011; 2011.
US EPA. EPA Technical report, technical background document to support final rulemaking pursuant to Section 102 of the Comprehensive Environmental Response, Compensation and Liability Act: Radionuclides, a report to the Emergency Response Division, Office of Emergency and Remedial Response (report prepared by ICF Incorporated and C-E Environmental, EPA Contract 68-03-3452). Washington, DC: US Environmental Protection Agency; 1989.
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat İ, Feng AH, Pedregosa F, van Mulbregt P. SciPy 1.0 contributors, 2020. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Meth 17:261–272; 2020. DOI:10.1038/s41592-019-0686.
Contributed Indexing:
Keywords: accident analysis; accident, radiological; algorithm; artificial intelligence
Entry Date(s):
Date Created: 20250707 Latest Revision: 20250707
Update Code:
20250707
DOI:
10.1097/HP.0000000000002014
PMID:
40622262
Database:
MEDLINE
Further Information
Abstract: pyDOSEIA is a Python package designed for meteorological data processing and radiological impact assessment in diverse scenarios, including nuclear and radiological accidents. Built upon robust computational models and using modern programming techniques, pyDOSEIA employs the Gaussian Plume Model and follows IAEA and AERB guidelines, offering a comprehensive suite of tools for estimating radiation doses from various exposure pathways, including inhalation, ingestion, groundshine, submersion, and plumeshine. The package enables age-specific, distance-specific, and radionuclide-specific radiation dose computations, providing accurate and reliable calculations for both short-term and long-term exposures. Additionally, pyDOSEIA leverages up-to-date dose conversion factors, features parallel processing capabilities for rapid analysis of large datasets, and facilitates applications in machine learning and deep learning research. With its user-friendly interface and extensive documentation, pyDOSEIA empowers researchers, practitioners, and policymakers to assess radiation risks effectively, aiding in decision making and emergency preparedness efforts. The package is open-source and available on GitHub at https://github.com/BiswajitSadhu/pyDOSEIA.
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