Dynamics of radiocaesium within forests in Fukushima—results and analysis of a model inter-comparison. (November 2021)
- Record Type:
- Journal Article
- Title:
- Dynamics of radiocaesium within forests in Fukushima—results and analysis of a model inter-comparison. (November 2021)
- Main Title:
- Dynamics of radiocaesium within forests in Fukushima—results and analysis of a model inter-comparison
- Authors:
- Hashimoto, Shoji
Tanaka, Taku
Komatsu, Masabumi
Gonze, Marc-André
Sakashita, Wataru
Kurikami, Hiroshi
Nishina, Kazuya
Ota, Masakazu
Ohashi, Shinta
Calmon, Philippe
Coppin, Frederic
Imamura, Naohiro
Hayashi, Seiji
Hirai, Keizo
Hurtevent, Pierre
Koarashi, Jun
Manaka, Takuya
Miura, Satoru
Shinomiya, Yoshiki
Shaw, George
Thiry, Yves - Abstract:
- Abstract: Forests cover approximately 70% of the area contaminated by the Fukushima Daiichi Nuclear Power Plant accident in 2011. Following this severe contamination event, radiocaesium ( 137 Cs) is anticipated to circulate within these forest ecosystems for several decades. Since the accident, a number of models have been constructed to evaluate the past and future dynamics of 137 Cs in these forests. To explore the performance and uncertainties of these models we conducted a model inter-comparison exercise using Fukushima data. The main scenario addressed an evergreen needleleaf forest (cedar/cypress), which is the most common and commercially important forest type in Japan. We also tested the models with two forest management scenarios (decontamination by removal of soil surface litter and forest regeneration) and, furthermore, a deciduous broadleaf forest (konara oak) scenario as a preliminary modelling study of this type of forest. After appropriate calibration, the models reproduced the observed data reliably and the ranges of calculated trajectories were narrow in the early phase after the fallout. Successful model performances in the early phase were probably attributable to the availability of comprehensive data characterizing radiocaesium partitioning in the early phase. However, the envelope of the calculated model end points enlarged in long-term simulations over 50 years after the fallout. It is essential to continue repetitive verification/validation processesAbstract: Forests cover approximately 70% of the area contaminated by the Fukushima Daiichi Nuclear Power Plant accident in 2011. Following this severe contamination event, radiocaesium ( 137 Cs) is anticipated to circulate within these forest ecosystems for several decades. Since the accident, a number of models have been constructed to evaluate the past and future dynamics of 137 Cs in these forests. To explore the performance and uncertainties of these models we conducted a model inter-comparison exercise using Fukushima data. The main scenario addressed an evergreen needleleaf forest (cedar/cypress), which is the most common and commercially important forest type in Japan. We also tested the models with two forest management scenarios (decontamination by removal of soil surface litter and forest regeneration) and, furthermore, a deciduous broadleaf forest (konara oak) scenario as a preliminary modelling study of this type of forest. After appropriate calibration, the models reproduced the observed data reliably and the ranges of calculated trajectories were narrow in the early phase after the fallout. Successful model performances in the early phase were probably attributable to the availability of comprehensive data characterizing radiocaesium partitioning in the early phase. However, the envelope of the calculated model end points enlarged in long-term simulations over 50 years after the fallout. It is essential to continue repetitive verification/validation processes using decadal data for various forest types to improve the models and to update the forecasting capacity of the models. Graphical abstract: Image 1 Highlights: The first inter-comparison of forest radiocaesium models using Fukushima data. The models reproduced the observed data reliably. The long-term simulations of inventory in tree and soil showed a general agreement. The long-term simulations of activity concentrations diverged. … (more)
- Is Part Of:
- Journal of environmental radioactivity. Volume 238/239(2021)
- Journal:
- Journal of environmental radioactivity
- Issue:
- Volume 238/239(2021)
- Issue Display:
- Volume 238/239, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 238/239
- Issue:
- 2021
- Issue Sort Value:
- 2021-NaN-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Radiocesium dynamics and cycling -- 137Cs migration and transfer -- Forest ecosystem -- Fukushima accident -- Model simulation and prediction -- Tree and soil
Radioactivity -- Periodicals
Radiation, Background -- Periodicals
Radioecology -- Periodicals
Radioactive pollution -- Periodicals
Environmental Pollutants -- Periodicals
Radioactive Pollutants -- Periodicals
Radioactivity -- Periodicals
Radioécologie -- Périodiques
Pollution radioactive -- Périodiques
Fond de rayonnement -- Périodiques
539.752 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0265931X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jenvrad.2021.106721 ↗
- Languages:
- English
- ISSNs:
- 0265-931X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.392000
British Library DSC - BLDSS-3PM
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