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Determination of radon prone areas by probabilistic analysis of indoor survey results and geological prognostic maps in the Czech Republic

机译:捷克共和国室内调查结果的概率分析氡易一代区域的确定与捷克共和国的地质预测地图

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The determination of radon prone areas is usually based on indoor radon surveys and prognoses of occurrence of houses above action level [CRP Publication 65, Protection against Radon at Home and at Work]. The sample of houses in the survey must be representative and large enough, if accurate results are to be obtained. However, even if such condition are fulfilled, inaccuracy in prediction of number of houses above action level may occur, if local information (especially local geological structure or building types) were not taken into account. Uncertainties and inaccuracies of radon risk prediction depend on the type of mapping process and map scale. The finer the map scale, the more complex geological structure and radon risk areas are found. An important but not easy task is to link indoor radon data to geological (geochemical and geophysical) parameters. Such relation is useful not only for planning of indoor radon survey in areas, where indoor measurements were not carried out yet, but mainly for prediction of radon risk for new buildings. This relation between geology and indoor radon can be studied by mathematical models, in situ experiments, or by statistical analysis of large data sets. Because a lot of parameters are influencing radon transport (some of them are not completely understood yet), only a "probabilistic" indoor-geology relationship can be found. Nevertheless, it can be useful in the process of derivation of "radon potential" area and in decision making on radon risk for new types of buildings in practice. Empirical transfer factors T_f defined as ratio of indoor/soil radon concentration are analysed. It is shown that lognormal distribution of T_f can be used to derive a relationship between geological parameters and probability of exceeding indoor radon concentration level.
机译:氡易发区域的测定通常基于室内氡调查和上述行动水平的房屋的发生和预后[CRP出版物65,在家中和工作中保护氡保护]。如果要获得准确的结果,调查中的房屋样本必须是代表性的,并且如果要获得准确的结果。然而,即使满足了这种情况,如果未考虑本地信息(尤其是局部地质结构或建筑类型),则可能发生以上述动作水平的房屋数量的不准确性。氡风险预测的不确定性和不准确性取决于映射过程和地图比例的类型。地图规模更精细,找到了复杂的地质结构和氡风险地区。一个重要但不容易的任务是将室内氡数据链接到地质(地球化学和地球物理)参数。这些关系不仅是针对室内氡调查的规划,其中室内测量尚未进行,而且主要用于预测新建筑物的氡风险。地质和室内氡之间的这种关系可以通过数学模型,原位实验或通过大数据集的统计分析来研究。由于大量参数正在影响氡传输(其中一些不完全理解),因此只能找到“概率”室内地质关系。尽管如此,它可以在衍生“氡潜力”区域的过程中,并在实践中的新型建筑物的氡风险的决策。分析了作为室内/土氡浓度的比率定义的经验转移因子T_F。结果表明,T_F的Lognormal分布可用于导出地质参数与超过室内氡浓度水平的概率之间的关系。

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