【摘要】 地基土壤氡浓度的检测受环境、仪器、人为因素影响较大,测定的数据与实际偶尔有出入。GB50325规定以场地各测点的氡浓度平均值作为检测结果的评价标准。然而,实际测量过程中,通常会出现个别测点值的偏高或偏低,数据质量不易把控。为了有效降低这些异常值的影响,更准确地反映氡浓度测定结果,采用了前人提出的一种次序统计法,作为氡浓度测定结果的评价标准。当检测数据不服从正态分布或存在异常值时,统计结果优于传统的均值统计,更能反映该场地土壤氡浓度的集中趋势。更多还原

【Abstract】 The detection of soil radon consistence is greatly affected by environment, instrument and human factors, and the measured data are occasionally different from the actual. GB50325 stipulates the average value of radon concentration at each measuring point of the site as the evaluation standard of the test results. However, in the actual measurement process, the value of individual measurement points usually appears to be higher or lower and the data quality is not easy to control. In order to effectively reduce the influence of these abnormal values and accurately reflect the measurement results of radon consistence, this paper adopts a sequence statistics method proposed by the predecessors as the evaluation standard for the determination of radon consistence. When the test data do not obey the normal distribution or exist abnormal values, the statistical results are better than the traditional mean statistics, which can reflect the concentration trend of the soil radon concentration at the site.更多还原