Literature DB >> 22361017

Prediction of the (137)Cs activity concentration in the atmospheric surface layer of the Chernobyl exclusion zone.

E K Garger1, Yu I Kuzmenko, S Sickinger, J Tschiersch.   

Abstract

The time series of the 10-day average (137)Cs volumetric activity concentration in the lower atmosphere measured from 1987 to 1991 in the town of Pripyat, close to the Chernobyl nuclear power plant, was used to construct a model to predict the airborne activity concentration inside the 30-km exclusion zone. For that purpose, individual components of the observed time series were separated by regression analysis and the Group Method of Data Handling. The measured data in Pripyat were divided in two periods. The long-term prediction by the model established using the measured data of the first period, has been validated with the data in the second period with good agreement. The behaviour of the model parameters depending on the length of the periods was also analysed, and the first period of 4.5 y was shown as sufficient for estimating the parameters. Further increase in the length will not significantly enhance the model parameters and the predictive power.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22361017     DOI: 10.1016/j.jenvrad.2012.01.017

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  2 in total

1.  Fungal spore involvement in the resuspension of radiocaesium in summer.

Authors:  Yasuhito Igarashi; Kazuyuki Kita; Teruya Maki; Takeshi Kinase; Naho Hayashi; Kentaro Hosaka; Kouji Adachi; Mizuo Kajino; Masahide Ishizuka; Tsuyoshi Thomas Sekiyama; Yuji Zaizen; Chisato Takenaka; Kazuhiko Ninomiya; Hiroshi Okochi; Atsuyuki Sorimachi
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

2.  Rain-induced bioecological resuspension of radiocaesium in a polluted forest in Japan.

Authors:  Kazuyuki Kita; Yasuhito Igarashi; Takeshi Kinase; Naho Hayashi; Masahide Ishizuka; Kouji Adachi; Motoo Koitabashi; Tsuyoshi Thomas Sekiyama; Yuichi Onda
Journal:  Sci Rep       Date:  2020-09-18       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.