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Random and systematic spatial variability of 137Cs inventories at reference sites in South-Central Brazil Scientia Agricola
Correchel,Vladia; Bacchi,Osny Oliveira Santos; Reichardt,Klaus; De Maria,Isabella Clerici.
The precision of the 137Cs fallout redistribution technique for the evaluation of soil erosion rates is strongly dependent on the quality of an average inventory taken at a representative reference site. The knowledge of the sources and of the degree of variation of the 137Cs fallout spatial distribution plays an important role on its use. Four reference sites were selected in the South-Central region of Brazil which were characterized in terms of soil chemical, physical and mineralogical aspects as well as the spatial variability of 137Cs inventories. Some important differences in the patterns of 137Cs depth distribution in the soil profiles of the different sites were found. They are probably associated to chemical, physical, mineralogical and biological...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cesium-137; Spatial distribution; Radioisotope; Sediment; Radioactive tracer.
Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000200013
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Assesment of soil erosion by 137Cs technique in native forests in Londrina City, Parana, Brazil BABT
Andrello,Avacir Casanova; Appoloni,Carlos Roberto; Nascimento Filho,Virgílio Franco do.
The aim of this work was to assess the soil erosion process in native forest by the 137Cs methodology. The mass balance model was applied to assess the rates of soil loss in three native forests around of Londrina city, Paraná, Brazil. 137Cs distribution depth was of exponential type for the three forests and 137Cs inventory was 241 Bq m-2 for Mata 1, 338 Bq m-2 for Mata 2 and 325 Bq m-2 for Mata UEL. The soil loss value calculated for three native forests was: 6,684 kg ha-1 yr-1 for Mata 1, 1,788 kg ha-1 yr-1 for Mata 2 and 4,524 kg ha-1 yr-1 for Mata UEL.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cesium-137; Mass balance model; Native forest.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132007000700016
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