Search

Fallout radionuclides have been used successfully worldwide as tracers for soil erosion, but relatively few studies exploit the full potential of plutonium (Pu) isotopes. Hence, this study aims to explore the suitability of the plutonium isotopes 239Pu and 240Pu as a method to assess soil erosion magnitude by comparison to more established fallout radionuclides such as 137Cs and 210Pbex. As test area an erosion affected headwater catchment of the Lake Soyang (South Korea) was selected. All three fallout radionuclides confirmed high erosion rates for agricultural sites (>25tha−1yr−1). Pu isotopes further allowed determining the origin of the fallout. Both 240Pu/239Pu atomic ratios and 239+240Pu/137Cs activity ratios were close to the global fallout ratio. However, the depth profile of the 239+240Pu/137Cs activity ratios in undisturbed sites showed lower ratios in the top soil increments, which might be due to higher migration rates of 239+240Pu. The activity ratios further indicated preferential transport of 137Cs from eroded sites (higher ratio compared to the global fallout) to the depositional sites (smaller ratio). As such the 239+240Pu/137Cs activity ratio offered a new approach to parameterize a particle size correction factor that can be applied when both 137Cs and 239+240Pu have the same fallout source. Implementing this particle size correction factor in the conversion of 137Cs inventories resulted in comparable estimates of soil loss for 137Cs and 239+240Pu. The comparison among the different fallout radionuclides highlights the suitability of 239+240Pu through less preferential transport compared to 137Cs and the possibility to gain information regarding the origin of the fallout. In conclusion, 239+240Pu is a promising soil erosion tracer, however, since the behaviour i.e. vertical migration in the soil and lateral transport during water erosion was shown to differ from that of 137Cs, there is a clear need for a wider agro-environmental testing.

In this paper, we propose a fast and accurate 3D selection method using visualization of proxies with spatial relationships. The proposed 3D selection method reduced selection errors and selection time comparing to conventional ray-casting method.