地基土氡浓度检测结果评价新方法初探
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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。
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.
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.
引文
[1] 温来福,郝海强,刘志远,等.综合物探在山西省某煤矿采空区探测中的应用[J].工程地球物理学报,2014,11(1):112-117.
[2] 巩建军,杨海燕,张凯,等.小波分析技术在放射性地球物理方法中的应用研究[J]. 工程地球物理学报,2016,13(1):116-121.
[3] 程业勋.环境中氡及其子体的危害与控制[J].现代地质,2008,22(5):858-868.
[4] 吴自香,刘彦兵,贾育新,等.土壤氡测定的影响因素探讨[J].中国辐射卫生,2006,3(15):23-24.
[5] 王南萍,肖磊.土壤氡测量国际比对及几个重要问题[J].现代地质,2012,26(6):1 294-1 299.
[6] 高超.一种土壤氡浓度测量的校正方法及其应用[J].铀矿地质,2011,27(2):120-122.
[7] 邹新悦,陈刚,黄骁,等.土壤中氡浓度检测及其影响因素[J].城市地质,2016,11(3):70-73.
[8] 刘万恩,殷亚斌,詹斌,等.天津地区地基土中氡含量的初步调查[J].山西建筑,2012,38(27):217
[9] Lanzante J R. Resistant robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data[J]. Int J Climatol, 1996, 16:1 197-1 226.
[10] DB29-223-2014,建筑地基氡浓度/氡析出率检测技术规程[S].
[11] GB50325-2010,民用建筑工程室内环境污染控制规范[S].
[2] 巩建军,杨海燕,张凯,等.小波分析技术在放射性地球物理方法中的应用研究[J]. 工程地球物理学报,2016,13(1):116-121.
[3] 程业勋.环境中氡及其子体的危害与控制[J].现代地质,2008,22(5):858-868.
[4] 吴自香,刘彦兵,贾育新,等.土壤氡测定的影响因素探讨[J].中国辐射卫生,2006,3(15):23-24.
[5] 王南萍,肖磊.土壤氡测量国际比对及几个重要问题[J].现代地质,2012,26(6):1 294-1 299.
[6] 高超.一种土壤氡浓度测量的校正方法及其应用[J].铀矿地质,2011,27(2):120-122.
[7] 邹新悦,陈刚,黄骁,等.土壤中氡浓度检测及其影响因素[J].城市地质,2016,11(3):70-73.
[8] 刘万恩,殷亚斌,詹斌,等.天津地区地基土中氡含量的初步调查[J].山西建筑,2012,38(27):217
[9] Lanzante J R. Resistant robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data[J]. Int J Climatol, 1996, 16:1 197-1 226.
[10] DB29-223-2014,建筑地基氡浓度/氡析出率检测技术规程[S].
[11] GB50325-2010,民用建筑工程室内环境污染控制规范[S].
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