| 1. |
- Gårdestig, Magnus, 1973-, et al.
(författare)
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RadiaCopter – UAS Gamma spectrometry for detection and identification of radioactive sources
- 2011
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Ingår i: XVI Conference of the NSFS, Reykjavik Iceland, 22-25 August 2011.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- With an unmanned helicopter (UAS), known as drones, equipped with a gamma spectrometer, one can achieve both a high spatial resolution and good range, and be able to approach a radioactive source closely. Linköping University, Sweden, is proposing a microdrone system that will fill a gap between man-portable measurement systems and full-sized airborne systems, complementing the car-driven measurement systems. The system may play a unique role in many of our contingency scenarios in terms of accessibility, versatility, efficiency, and is advantageous from the viewpoint of radiation protection as it can be controlled at a safe distance.
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| 2. |
- Kock, Peder, et al.
(författare)
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Comparison of airborne and terrestrial gamma spectrometry measurements - evaluation of three areas in southern Sweden.
- 2011
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Ingår i: Journal of Environmental Radioactivity. - : Elsevier BV. - 1879-1700 .- 0265-931X. ; 102:6, s. 605-613
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Tidskriftsartikel (refereegranskat)abstract
- The Geological Survey of Sweden (SGU) has been conducting airborne gamma spectrometry measurements of natural radioactivity in Sweden for more than 40 years. Today, the database covers about 80% of the country's land surface. This article explores the first step of putting this data into use in radioactive source search at ground level. However, in order to be able to use the airborne background measurements at ground level, SGU data must be validated against terrestrial data. In this work, we compare the SGU data with data measured by a portable backpack system. This is done for three different areas in southern Sweden. The statistical analysis shows that a linear relationship and a positive correlation exist between the air and ground data. However, this linear relationship could be revealed only when the region possessed large enough variations in areal activity. Furthermore, the activity distributions measured show good agreement to those of SGU. We conclude that the SGU database could be used for terrestrial background assessment, given that a linear transfer function is established.
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