Modelling the transfer of 14C from the atmosphere to grass: A case study in a grass field near AREVA-NC La Hague

• Published in: Journal of environmental radioactivity Vol. 112; pp. 52 - 59
• Main Authors: Aulagnier, C., Le Dizès, S., Maro, D., Hébert, D., Lardy, R., Martin, R., Gonze, M.-A.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2012; Elsevier
• Subjects: 14C model; Air Pollutants, Radioactive - metabolism; Animal, plant and microbial ecology; Applied ecology; Atmosphere - chemistry; Atmospheric release; Biological and medical sciences; Carbon - metabolism; Carbon cycle; Carbon Radioisotopes - metabolism; Ecotoxicology, biological effects of pollution; Environmental Monitoring - methods; France; Fundamental and applied biological sciences. Psychology; Grassland; Models, Biological; Nuclear Power Plants; Poaceae - growth & development; Poaceae - metabolism; Soil - chemistry; Terrestrial environment, soil, air; Manche; Basse Normandie; France; Europe; Grassland; Carbon cycle; Atmospheric release; 14C model; Radioactive waste; Radioactive pollution; Radioisotope; Soil pollution; Carbon; Reprocessing; Air pollution; Models; Herbaceous plant; C model
• ISSN: 0265-931X; 1879-1700
• DOI: 10.1016/j.jenvrad.2012.03.015

Radioactive 14C is formed as a by-product of nuclear power generation and from operation of nuclear fuel reprocessing plants like AREVA-NC La Hague (North France), which releases about 15 TBq per year of 14C into the atmosphere. Since the autumn of 2006, 14C activity concentrations in samples from the terrestrial environment (air, grass and soil) have been monitored monthly on grassland 2 km downwind of the reprocessing plant. The monitoring data provides an opportunity to validate radioecology models used to assess 14C transfer to grassland ecosystems. This article compares and discusses the ability of two different models to reproduce the observed temporal variability in grass 14C activity in the vicinity of AREVA-NC La Hague. These two models are the TOCATTA model which is specifically designed for modelling transfer of 14C and tritium in the terrestrial environment, and PaSim, a pasture model for simulating grassland carbon and nitrogen cycling. Both TOCATTA and PaSim tend to under-estimate the magnitude of observed peaks in grass 14C activity, although they reproduce the general trends. PaSim simulates 14C activities in substrate and structural pools of the plant. We define a mean turn-over time for 14C within the plant, which is based on both experimental data and the frequency of cuts. An adapted PaSim result is presented using the 15 and 20 day moving average results for the 14C activity in the substrate pool, which shows a good match to the observations. This model reduces the Root Mean Square Error (RMSE) by nearly 40% in comparison to TOCATTA. ► We model 14C transfer from the atmosphere to grass near AREVA-NC reprocessing plant. ► Both models considered under-estimate the observed variability and highest peaks. ► A model based solely on the sap 14C activity and mean turn-over time is considered. ► It performs well and could be applied to case studies around nuclear facilities.