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The first version of the Pan-European Indoor Radon Map

机译:泛欧室内氡地图的第一版

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A hypothetical Pan-European Indoor Radon Map has been developed using summary statistics estimated from 1.2 million indoor radon samples. In this study we have used the arithmetic mean (AM) over grid cells of 10 km x 10 km to predict a mean indoor radon concentration at ground-floor level of buildings in the grid cells where no or few data (N < 30) are available. Four interpolation techniques have been tested: inverse distance weighting (IDW), ordinary kriging (OK), collocated cokriging with uranium concentration as a secondary variable (CCK), and regression kriging with topsoil geochemistry and bedrock geology as secondary variables (RK). Cross-validation exercises have been carried out to assess the uncertainties associated with each method. Of the four methods tested, RK has proven to be the best one for predicting mean indoor radon concentrations; and by combining the RK predictions with the AM of the grids with 30 or more measurements, a Pan-European Indoor Radon Map has been produced. This map represents a first step towards a European radon exposure map and, in the future, a radon dose map.
机译:假设的泛欧洲室内氡地图已经使用概述统计数据估计,估计来自120万个室内氡样本。在这项研究中,我们使用了10公里×10km的网格细胞上的算术平均值(AM),以预测网格细胞中的建筑物的底层平均室内氡浓度,其中NO或很少的数据(n <30)是可用的。已经测试了四种插值技术:逆距离加权(IDW),普通克里格汀(OK),用铀浓缩作为次要变量(CCK)的浓度并置于次要变量和基岩地质作为次要变量(RK)的回归克里格。已经进行了交叉验证练习以评估与每种方法相关的不确定性。在测试的四种方法中,RK已被证明是预测平均室内氡浓度的最佳选择;并通过将RK预测与具有30或更多测量的网格的AM组合,产生了泛欧室内氡图。该地图代表了朝向欧洲氡曝光地图的第一步,并在将来氡气剂量图。

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