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A geostatistical approach to define guidelines for radon prone area identification

机译：地统计学方法定义guidelines易发区识别准则

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摘要

Radon is a natural radioactive gas known to be the main contributor to natural background radiation exposure and the major leading cause of lung cancer second to smoking. Indoor radon concentration levels of 200 and 400 Bq/m~3 are reference values suggested by the 90/143/Euratom recommendation, above which mitigation measures should be taken in new and old buildings, respectively, to reduce exposure to radon. Despite this international recommendation, Italy still does not have mandatory regulations or guidelines to deal with radon in dwellings. Monitoring surveys have been undertaken in a number of western European countries in order to assess the exposure of people to this radioactive gas and to identify radon prone areas. However, such campaigns provide concentration values in each single dwelling included in the sample, while it is often necessary to provide measures of the pollutant concentration which refer to sub-areas of the region under study. This requires a realignment of the spatial data from the level at which they are collected (points) to the level at which they are necessary (areas). This is known as change of support problem. In this paper, we propose a methodology based on geostatistical simulations in order to solve this problem and to identify radon prone areas which may be suggested for national guidelines.
机译：on是一种天然放射性气体，已知是导致自然本底辐射暴露的主要因素，并且是仅次于吸烟的肺癌的主要原因。室内ra浓度水平为200和400 Bq / m〜3是90/143 / Euratom建议所建议的参考值，在此值之上，应分别在新旧建筑物中采取缓解措施，以减少reduce的暴露。尽管提出了这项国际建议，意大利仍然没有强制性的法规或准则来处理住宅中的ra。在许多西欧国家已经进行了监测调查，以评估人们对这种放射性气体的暴露程度，并确定容易产生ra的区域。但是，此类活动提供了样本中包含的每个单个住宅中的浓度值，而通常有必要提供污染物浓度的度量​​，这些度量涉及所研究区域的子区域。这需要将空间数据从收集它们的级别（点）重新调整为必要的空间（区域）。这称为支持问题的更改。在本文中，我们提出了一种基于地统计模拟的方法，以解决该问题并确定可能为国家指南所建议的ra容易发地区。

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