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为研究铀尾矿库附近环境空气222Rn浓度在时间序列上的分布规律及随机波动性,对某铀尾矿库附近环境空气中222Rn浓度时间序列数据应用重标极差分析法研究了其变化趋势及分形特征。结果表明:该铀尾矿库附近空气222Rn浓度时间序列具有明显的分形特征,各测点分维值D均小于1.5,为1.060~1.246;各测点Hurst指数均大于0.5,相关系数均在0.95以上。这显示出222Rn浓度时间序列变化趋势在未来一段时间内具有持续性,在该铀尾矿库退役治理前多数测点附近空气222Rn浓度在冬季会有升高趋势。
In order to study the distribution regularity and stochastic volatility of 222Rn concentration in the ambient air around the uranium tailing pond, the variation trend of the 222Rn concentration time series data in the ambient air near a uranium tailing pond was studied by using the redox analysis method And fractal features. The results show that the time series of air 222Rn concentration near the uranium tailing pond has obvious fractal characteristics. The fractal dimension D of each measuring point is less than 1.5, ranging from 1.060 to 1.246. The Hurst exponents of all measuring points are all above 0.5, and the correlation coefficients are all 0.95 the above. This shows that the trend of 222Rn concentration time series is persistent in the future, and the concentration of 222Rn in air near most measuring points before the decommissioning of this uranium tailings bank will increase in winter.