Bezerra Jairo Dias, Dos Santos Júnior José Araújo, Dos Santos Amaral Romilton, Menezes Rômulo Simões Cezar, Fernández Zahily Herrero, do Nascimento Santos Josineide Marques, da Silva Arykerne Nascimento Casado, Rojas Lino Angel Valcárcel
Grupo de Radioecologia (RAE), Departamento de Energia Nuclear (DEN), Centro de Tecnologia e Geociências (CTG), Universidade Federal de Pernambuco (UFPE), Avenida Professor Luiz Freire, no. 1000, Cidade Universitária, CEP 50.740-540, Recife, Pernambuco, Brazil.
Grupo de Pesquisa em Energia da Biomassa, Departamento de Energia Nuclear (DEN), Centro de Tecnologia e Geociências (CTG), Universidade Federal de Pernambuco (UFPE), Avenida Professor Luiz Freire, no. 1000, Cidade Universitária, CEP 50.740-540, Recife, Pernambuco, Brazil.
Radiat Prot Dosimetry. 2018 Jun 1;179(4):310-316. doi: 10.1093/rpd/ncx284.
High levels of primordial radionuclides have been reported in soils and rocks of São José de Espinharas, in the state of Paraiba, Brazil. These radionuclides are derived from high concentrations of natural uranium and thorium from a mine in the region. Thus, there is a need for a dosimetric evaluation in the area near the mine and the surrounding cities. In this study, the annual effective dose was analyzed in 178 points of five cities. The measurements were performed using thermoluminescent dosimetry with LiF:Mg, Ti (TLD-100). The annual effective dose from environmental exposure varied from 0.71 to 2.07 mSv, with an arithmetic mean of 0.99 mSv. This average is more than twice the estimated value for indoor environments adopted by the UNSCEAR, which is 0.41 mSv. These results will allow establishing reference values for background radiation of the region and criteria to infer a stochastic risk for the local population.
据报道，巴西帕拉伊巴州圣若泽-德埃斯皮尼亚拉斯的土壤和岩石中存在高浓度的原生放射性核素。这些放射性核素源自该地区一座矿山中高浓度的天然铀和钍。因此，需要对矿山附近地区及周边城市进行剂量学评估。在本研究中，对五个城市的178个地点的年有效剂量进行了分析。测量采用LiF:Mg, Ti（TLD-100）热释光剂量法进行。环境暴露的年有效剂量在0.71至2.07毫希沃特之间，算术平均值为0.99毫希沃特。这个平均值是联合国原子辐射效应科学委员会采用的室内环境估计值（0.41毫希沃特）的两倍多。这些结果将有助于确定该地区背景辐射的参考值以及推断当地居民随机风险的标准。
