日本地球惑星科学連合2016年大会

講演情報

インターナショナルセッション(口頭発表)

セッション記号 A (大気水圏科学) » A-GE 地質環境・土壌環境

[A-GE05] Subsurface Mass Transport and Environmental Assessment

2016年5月23日(月) 09:00 〜 10:25 302 (3F)

コンビーナ:*濱本 昌一郎(東京大学大学院農学生命科学研究科)、森 也寸志(岡山大学大学院環境生命科学研究科)、斎藤 広隆(東京農工大学大学院農学研究院)、川本 健(埼玉大学大学院理工学研究科)、張 銘(産業技術総合研究所地圏資源環境研究部門)、座長:川本 健(埼玉大学大学院理工学研究科)

09:15 〜 09:30

[AGE05-02] Distribution of radioactive Cs in Iitate soil, Fukushima: Multivariate analysis and numerical modeling approaches

*Quoc Thuyet Dang1Takahiro Tatsuno1Hiromi Imoto1Shoichiro Hamamoto1Taku Nishimura1 (1.The University of Tokyo)

キーワード:radioactive cesium modeling, multivariate analysis, Fukushima

The transport of radioactive Cs in soil has been extensively studied. Many complex numerical models have been introduced to elucidate the migration mechanism of Cs in soil. The models usually required a lot of parameters which are not always available or hard to get, thus their applicability is still limited especially in a large field due to lack of input data. Moreover, the uncertainties and heterogeneity of soil physical and chemical properties may cause the simulation and prediction to be less accurate. We hypothesized that all parameters theoretically associated with the transport of Cs in soil were not always important for the prediction. Depending on specific field conditions, the prediction could be done solely based on fewer important parameters yet getting adequate prediction accuracy. This study aimed to elucidate the distribution and migration of Cs in surface soil, and to support future development of mechanism model for effectively predicting Cs transport in Iitate soil. Cs concentrations in top 30-cm surface soil were monitored in 2013-2015 at 12 plots in an abandoned forest located 40 kilometers northwest of the Fukushima Daiichi NPP. We used multivariate statistical analysis techniques to classify and compare the differences in distribution of Cs under field conditions. The analysis characterized the distribution states and pointed out the most important parameters that possibly influenced the migration of Cs in Iitate soil. A mechanism model was developed based on the physical and chemical processes associated with the above important parameters to simulate and predict Cs transport in surface soil. The results indicated soil organic carbon was highly associated with the distribution of Cs in soil. Soil erosion, and soil deposition tent to be the most important processes affect the transport of Cs in surface soil, while litter layers significantly affected the downward migration of Cs in soil profile.