论文标题
空中辐射测量的空间反卷积及其在放射线分散装置中的影响
Spatial Deconvolution of Aerial Radiometric Survey and its application to the Fallout from a Radiological Dispersal Device
论文作者
论文摘要
使用空中调查测量值绘制放射性污染是当今正在积极调查的区域。反应器事故发生后，辐射测量技术已广泛应用，还将为响应恶意放射或核事件提供关键工具。存在校准天然放射性核素浓度的空中调查系统的方法，这可以提供指导。但是，这些方法已经预计源的空间分布与调查高度相比很大。在紧急响应的快速响应空中调查中，可能会预期相对较小的空间范围。这种空间限制的热点的活性使用传统方法被低估了。我们在这里提出了一种空间反卷积方法，该方法可以恢复由于高度调查而导致的平均变化。我们表明该方法可以恢复合成源浓度的真正空间分布。然后，我们将该方法应用于放射学扩散装置爆炸后收集的实际航空调查数据。然后，通过参考基于地面的Truckborne对同一污染的调查来讨论反卷积的发现和含义。
Mapping radioactive contamination using aerial survey measurements is an area under active investigation today. The radiometric aerial survey technique has been extensively applied following reactor accidents and also would provide a key tool for response to a malicious radiological or nuclear incident. Methods exist to calibrate the aerial survey system for quantification of the concentration of natural radionuclides, which can provide guidance. However, these methods have anticipated a spatial distribution of the source which is large in comparison to the survey altitude. In rapid emergency-response aerial surveys of areas of safety concern, deposits of relatively small spatial extent may be expected. The activity of such spatially restricted hot spots is underestimated using the traditional methods. We present here a spatial deconvolution method which can recover some of the variation smoothed out by the averaging due to survey at altitude. We show that the method can recover the true spatial distribution of concentration of a synthetic source. We then apply the method to real aerial survey data collected following detonation of a radiological dispersal device. The findings and implications of the deconvolution are then discussed by reference to a groundbased truckborne survey over the same contamination.
