首页> 外文会议>5th International Conference on High Levels of Natural Radiation and Radon Areas Sep 4-7, 2000 Munich, Germany >Determination of radon prone areas by probabilistic analysis of indoor survey results and geological prognostic maps in the Czech Republic
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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:通过室内调查结果和地质预后图的概率分析确定of易发地区

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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:of的易发区域的确定通常基于室内ra调查和高于活动水平的房屋发生的预后[CRP出版物65,在家中和工作中防止Rad]。如果要获得准确的结果,调查中的房屋样本必须具有代表性且足够大。但是,即使不满足这种条件,如果不考虑当地信息(尤其是当地的地质结构或建筑物类型),在行动级别以上的房屋数量预测中也会出现不准确的情况。 don风险预测的不确定性和不准确性取决于制图过程和地图比例的类型。地图比例尺越精细,发现的地质结构和ra风险区域就越复杂。一个重要但不容易的任务是将室内ra数据与地质(地球化学和地球物理)参数关联起来。这种关系不仅对于尚未进行室内测量的地区的室内ra测量计划很有用,而且主要用于预测新建筑物的ra风险。可以通过数学模型,原位实验或通过对大数据集进行统计分析来研究地质与室内ra之间的这种关系。由于许多参数影响ra的传输(其中一些参数尚未完全理解),因此只能找到“概率”室内地质关系。但是,它在派生“ rad势”区域的过程中以及在实践中对新型建筑物的ra风险决策中可能是有用的。分析了定义为室内/土壤ra浓度比的经验传递因子T_f。结果表明,T_f的对数正态分布可用于推导地质参数与超过室内ra浓度水平的概率之间的关系。

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