Keum Dong-Kwon, Lee Hansoo, Kang Hee-Seok, Jun In, Choi Yong-Ho, Lee Chang-Woo
Nuclear Environment and Radioecology Research Department, Korea Atomic Energy Research Institute, 150 Deokjin-dong, Yuseong, Daejeon, South Korea 305-353.
J Environ Radioact. 2007;92(1):1-15. doi: 10.1016/j.jenvrad.2006.08.007. Epub 2006 Oct 31.
This paper describes the predictions of the transfer of 137Cs to rice plants following soil deposition during a non-growth season of rice by a dynamic compartment model considering the soil properties, and their comparison with experimental results. Major processes considered in the model were percolation, soil mixing by plowing, plant uptake, leaching to deep soil, fixation to clay mineral, and time-dependent growth of a plant. To consider the effects of the soil properties (pH, clay mineral, organic matter content, and exchangeable K) on plant uptake and the leaching rates of 137Cs in a root zone soil, the Absalom model was used for the present model. The 137Cs aggregated transfer factors (TFa, m2kg-1 dry plant) of rice plants for two consecutive cultivation years were obtained as a result of simulated 137Cs soil deposition experiments with 17 paddy soils of different properties, all of which were performed before transplanting of the rice. Observed 137Cs TFa values of the rice plants did not show an evident trend for the pH and clay content of the soil properties, while they increased with an increasing organic matter content and a decreasing exchangeable K concentration. Predicted 137Cs TFa values of the rice plants were found to be comparable with those observed.
本文描述了通过一个考虑土壤性质的动态隔室模型，对水稻非生长季土壤沉积后137Cs向水稻植株转移的预测，以及这些预测结果与实验结果的比较。该模型考虑的主要过程包括渗滤、耕作引起的土壤混合、植物吸收、向深层土壤的淋溶、对粘土矿物的固定以及植物随时间的生长。为了考虑土壤性质（pH值、粘土矿物、有机质含量和交换性钾）对根区土壤中植物吸收和137Cs淋溶率的影响，本模型采用了阿萨姆模型。通过对17种不同性质的稻田土壤进行模拟137Cs土壤沉积实验（均在水稻移栽前进行），得到了连续两个种植年份水稻植株的137Cs累积转移因子（TFa，m2kg-1干植物）。水稻植株的实测137Cs TFa值对于土壤性质的pH值和粘土含量没有明显趋势，而随有机质含量的增加和交换性钾浓度的降低而增加。发现水稻植株的预测137Cs TFa值与实测值相当。
