关键词: Cesium Risk assessment Soil Source analysis Strontium

Mesh : Risk Assessment Mining China Soil Pollutants, Radioactive / analysis Cesium Radioisotopes / analysis Humans Strontium Radioisotopes / analysis Cesium / analysis Cities Soil / chemistry Monte Carlo Method Radiation Monitoring

来  源:   DOI:10.1007/s10653-024-02046-8

Abstract:
Radioactive nuclides cesium (Cs) and strontium (Sr) possess long half-lives, with 135Cs at approximately 2.3 million years and 87Sr at about 49 billion years. Their persistent accumulation can result in long-lasting radioactive contamination of soil ecosystems. This study employed geo-accumulation index (Igeo), pollution load index (PLI), potential ecological risk index (PEPI), health risk assessment model (HRA), and Monte Carlo simulation to evaluate the pollution and health risks of Cs and Sr in the surface soil of different functional areas in a typical mining city in China. Positive matrix factorization (PMF) model was used to elucidate the potential sources of Cs and Sr and the respective contribution rates of natural and anthropogenic sources. The findings indicate that soils in the mining area exhibited significantly higher levels of Cs and Sr pollution compared to smelting factory area, agricultural area, and urban residential area. Strontium did not pose a potential ecological risk in any studied functional area. The non-carcinogenic health risk of Sr to the human body in the study area was relatively low. Because of the lack of parameters for Cs, the potential ecological and human health risks of Cs was not calculated. The primary source of Cs in the soil was identified as the parent material from which the soil developed, while Sr mainly originated from associated contamination caused by mining activities. This research provides data for the control of Cs and Sr pollution in the surface soil of mining city.
摘要:
放射性核素铯(Cs)和锶(Sr)具有较长的半衰期,135Cs约为230万年,87Sr约为490亿年。它们的持续积累会导致土壤生态系统的长期放射性污染。本研究采用地质累积指数(Igeo),污染负荷指数(PLI),潜在生态风险指数(PEPI),健康风险评估模型(HRA),和蒙特卡洛模拟评价了中国典型矿业城市不同功能区表层土壤中Cs和Sr的污染和健康风险。正矩阵分解(PMF)模型用于阐明Cs和Sr的潜在来源以及自然和人为来源的各自贡献率。结果表明,与冶炼厂区相比,矿区土壤中的Cs和Sr污染水平明显更高,农业区,和城市居住区。在任何研究的功能区中,锶都不会构成潜在的生态风险。研究区域Sr对人体的非致癌健康风险相对较低。由于缺少Cs的参数,未计算Cs的潜在生态和人类健康风险。土壤中Cs的主要来源被确定为土壤发育的母体材料,而Sr主要来自采矿活动造成的相关污染。该研究为矿业城市表层土壤中Cs和Sr污染的控制提供了数据。
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