4.7 Article

Modeling of leachable 137Cs in throughfall and stemflow for Japanese forest canopies after Fukushima Daiichi Nuclear Power Plant accident

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 493, 期 -, 页码 701-707

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2014.06.059

关键词

Radionuclide; Dynamic; Environment; Initial leachable stock; Kinetics

资金

  1. Ministry of Education, Culture, Sports, Science, and Technology (Japan)
  2. Grants-in-Aid for Scientific Research [24110001] Funding Source: KAKEN

向作者/读者索取更多资源

The Fukushima accident dispersed significant amounts of radioactive cesium (Cs) in the landscape. Our research investigated, from June 2011 to November 2013, the mobility of leachable Cs in forests canopies. In particular, Cs-137 and Cs-134 activity concentrations were measured in rainfall, throughfall, and stemflow in broad-leaf and cedar forests in an area located 40 km from the power plant. Leachable Cs-137 loss was modeled by a double exponential (DE) model. This model could not reproduce the variation in activity concentration observed. In order to refine the DE model, the main physical measurable parameters (rainfall intensity, wind velocity, and snowfall occurrence) were assessed, and rainfall was identified as the dominant factor controlling observed variation. A corrective factor was then developed to incorporate rainfall intensity in an improved DE model. With the original DE model, we estimated total Cs-137 loss by leaching from canopies to be 72 +/- 4%, 67 +/- 4%, and 48 +/- 2% of the total plume deposition under mature cedar, young cedar, and broad-leaf forests, respectively. In contrast, with the improved DE model, the total Cs-137 loss by leaching was estimated to be 34 +/- 2%, 34 +/- 2%, and 16 +/- 1% of the total plume deposition under mature cedar, young cedar, and broad-leaf forests, respectively. The improved DE model corresponds better to observed data in literature. Understanding Cs-137 and Cs-134 forest dynamics is important for forecasting future contamination of forest soils around the FDNPP. It also provides a basis for understanding forest transfers in future potential nuclear disasters. (C) 2014 Elsevier B.V. All rights reserved.

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