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Quantitative assessment of the spatial distribution of 239+240Pu inventory derived from global fallout in soils from Asia and Europe.

Authors :
Cao, Liguo
Zhou, Zhengchao
Wang, Ning
Xiao, Shun
Source :
Journal of Geographical Sciences; Apr2022, Vol. 32 Issue 4, p605-616, 12p
Publication Year :
2022

Abstract

Due to the atmospheric nuclear weapon tests carried out, terrestrial environments have been extensively contaminated by global fallout of plutonium (Pu) worldwide. The <superscript>249+240</superscript>Pu inventories in soil profiles from undisturbed and flat forest or grasslands (reference sites) mainly from Europe and Asia are considered as important background for evaluating soil erosion. Thus, we conducted a literature survey over an area extending from 2.6°W to 148.9°E and from 53.2°S to 76.6°N, with the purpose of analyzing the spatial distribution of <superscript>239+240</superscript>Pu inventories and possible controlling factors. The aim of this work was to derive an empirical model of <superscript>239+240</superscript>Pu inventory based on currently available <superscript>239+240</superscript>Pu data, precipitation and latitude. The results show that, in general, the latitudinal distribution of <superscript>239+240</superscript>Pu inventory was consistent with the UNSCEAR reports. However, the <superscript>239+240</superscript>Pu inventories are higher than the UNSCEAR data, especially in the Northern Hemisphere. In addition, close relationships (at the 0.01 significance level) were identified between <superscript>239+240</superscript>Pu inventories and annual precipitation and latitude. An empirical formula was therefore developed to estimate <superscript>239+240</superscript>Pu inventories in soils based on latitude and precipitation data. However, future research may require more data of measured <superscript>239+240</superscript>Pu inventories in soil profiles that can be used to compare, validate and improve upon the accuracy of the inferred empirical equation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1009637X
Volume :
32
Issue :
4
Database :
Complementary Index
Journal :
Journal of Geographical Sciences
Publication Type :
Academic Journal
Accession number :
156022541
Full Text :
https://doi.org/10.1007/s11442-022-1963-z