Open Access Green as soon as Postprint is submitted to ZB.
		
    External dose reconstruction at the shore of the Metlinsky Pond in the former village of Metlino (Techa River, Russia) based on environmental surveys, luminescence measurements and radiation transport modelling.
        
        Radiat. Environ. Biophys. 61, 87–109 (2022)
    
    
    
	    The cohorts of people formerly living at the Techa River shoreline in the Southern Urals, Russia, are widely studied cohorts for the investigation of low-dose radiation effects to human health. The nuclear facilities of the Mayak Production Association (PA) discharged their radioactive effluents into the nearby Techa River, especially in the first years of operation. Health status of cohort member data is constantly being improved and updated. Consequently, there is a need to also improve and verify the underlying dosimetry, which gives information about the dose of cohort members. For the Techa River population, the dosimetry is handled in the Techa River Dosimetry System (TRDS). The present work shows results of a feasibility study to validate the TRDS at the location of the village of Metlino, a village just 7 km downstream from the Mayak PA. For this settlement there were two sources of external exposure, the contaminated banks of the Techa River and the contaminated shoreline of the nearby Metlinsky Pond. In the present study the north-western wall of a granary was used as a dose archive to validate dose estimates. Measurements of doses in brick accumulated over many decades and measurements of the current dose rate in bricks were combined with dose rate measurements in air above ground in front of the granary, historical contamination data and Monte-Carlo simulations. Air kerma estimates for 1949-1956 significantly different from zero could not be reconstructed for the Metlinsky Pond shoreline near the granary, but an upper dose limit could be estimated. Implications for TRDS-2016 are discussed.
	
	
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
     
    
    
        Keywords
        External Dose Reconstruction ; Historic Dose Reconstruction ; Monte Carlo Simulations ; Radiation Transport Calculations ; Retrospective Dosimetry ; Techa River Dosimetry System; Mayak-production-association; Contamination; Dosimetry; Epr
    
 
     
    
    
        Language
        english
    
 
    
        Publication Year
        2022
    
 
    
        Prepublished in Year
        2021
    
 
    
        HGF-reported in Year
        2021
    
 
    
    
        ISSN (print) / ISBN
        0301-634X
    
 
    
        e-ISSN
        1432-2099
    
 
    
     
     
	     
	 
	 
     
	
    
        Quellenangaben
        
	    Volume: 61,  
	    
	    Pages: 87–109 
	    
	    
	
    
 
    
         
        
            Publisher
            Springer
        
 
        
            Publishing Place
            One New York Plaza, Suite 4600, New York, Ny, United States
        
 
	
         
         
         
         
         
	
         
         
         
    
         
         
         
         
         
         
         
    
        Reviewing status
        Peer reviewed
    
 
    
        Institute(s)
        Institute of Radiation Medicine (IRM)
    
 
    
        POF-Topic(s)
        30203 - Molecular Targets and Therapies
    
 
    
        Research field(s)
        Radiation Sciences
    
 
    
        PSP Element(s)
        G-501391-001
    
 
    
        Grants
        European Community's Sixth Framework Program
Russian Health Studies Program of the U.S. Department of Energy (DOE) under Joint Coordinating Committee for Radiation Effects Research Project 1.1, Techa River Population Dosimetry
 
     	
    
    Russian Health Studies Program of the U.S. Department of Energy (DOE) under Joint Coordinating Committee for Radiation Effects Research Project 1.1, Techa River Population Dosimetry
        WOS ID
        WOS:000721646200001
    
    
        Scopus ID
        85119867715
    
    
        PubMed ID
        34816291
    
    
        Erfassungsdatum
        2022-01-10