Safecast – a Citizen Science initiative for ambient dose rate mapping;  Quality assurance issues.

Author(s):  
Petr Kuča ◽  
Jan Helebrant ◽  
Peter Bossew

<p>Safecast has been initiated in 2011 in Japan as response to the perceived inadequacy of official information policy about radioactive contamination. It is based on measurements of ambient dose rate (ADR) by numerous volunteers using a standardized monitor, called SAFECAST bGeigie Nano. In essence, it consists of a Geiger counter and a GPS module, data (ADR, GPS coordinates, date/time) are recorded on an SD card if operated in its survey mode.</p><p>The project quickly expanded world-wide and by end 2020, over 150 million measurements were recorded, however by far not uniformly distributed over the world (https://map.safecast.org/ ). Evidently, such amount of data cannot be reasonably acquired by institutional surveying. On the other hand, professionals can be expected to follow metrological quality assurance (QA) standards, which is usually not the case for members of the public who are mostly laypeople in metrology.</p><p>Thus, impressive as the Safecast map is, it raises questions related to QA. This is relevant for interpretation of the ADR values shown on the map, and their uncertainty and resulting reliability. We propose to distinguish between two aspects of metrological QA regarding monitoring in the context of citizen science.</p><p>(1) Metrology proper, which pertains to characterization of the measurement procedure, from sampling protocols to physical behaviour of the instrument and resulting uncertainty; this is of course equally true also for professional measuring.</p><p>(2) Real-world handling: not being familiar with metrological QA concepts, in general, it can be expected that citizen scientists deviate from QA standards more frequently and more severely than professionals. This adds to the uncertainty budget of reported values. Uncertainty impairs interpretability.</p><p>In this contribution, we report current metrological knowledge of the bGeigie Nano in the sense of aspect (1). Further, we discuss how QA in the sense of aspect (2) can be approached. We report experiments of repeated realistic handling, i.e. without caring for particularly controlled laboratory or well-defined field conditions (as in (1)) and of intentional mishandling.</p><p>It appears that QA type (2) is the more serious issue, both by contribution to the uncertainty budget and by difficulty in handling it. While the Safecast map provides – in some regions - an astonishing dense database, one must be cautious about interpreting local data, if the measurement circumstances are not known, which is the usual case. One element of addressing the problem consists in instruction of participants about correct usage.</p><p>In response to certain technical issues of the bGeigie Nano which derogate its performance, SÚRO developed an alternative but conceptually similar device called CzechRad (details in https://github.com/juhele/CzechRad) whose metrological characterization is ongoing.</p>

2020 ◽  
Author(s):  
Petr Kuča ◽  
Peter Bossew

<p><strong>Using Safecast data for estimating ambient dose rate in cities around the world</strong></p><p>Petr KUČA<sup>1 </sup>and Peter Bossew<sup>2</sup></p><p><sup>1</sup> National Radiation Protection Institute (SURO), Praha, Czech Republic </p><p><sup>2</sup> German Federal Office for Radiation Protection, Berlin</p><p> </p><p>Safecast [1] is a citizen science project, aimed to environmental monitoring. Its main activity is measuring ambient dose rate (ADR) all over the world. Motivated by the Fukushima NPP accident in March 2011, the project started soon after, and since, numerous citizens have contributed, carrying monitors with them.</p><p>In this presentation, the Safecast project is introduced together with its standard instrument for ADR measurement, called bGeigie Nano. We discuss matters of quality assurance connected to data generation mainly by citizens who are generally no trained metrologists, and consequently, interpretation problems of Safecast data.</p><p>The freely accessible data, currently (January 2020) over 120 million observations, were used to calculate mean ADR in various cities around the world where sufficient data is available. The resulting geographical pattern mainly reflects the variability of dose rate from terrestrial radiation, which is controlled by the one of geochemistry, namely the concentrations of uranium, thorium and potassium. Further influence comes from cosmic radiation, natural radionuclides in the air (a small contribution) and in a few cases, from anthropogenic radiation caused by nuclear fallout.</p><p>In some cities at high altitude, such as Cusco (Peru), Nairobi (Kenia) or Denver (USA), secondary cosmic radiation clearly contributes strongly to ADR. In low to medium altitude, cosmic dose rate varies relatively little, so that it contributes little to the geographical pattern. Apart from the regional geological background, ADR is generated by building materials typical for an urban environment. Mean terrestrial ADR in cities around the world ranges between several 10 nSv/h and several 100 nSv/h. Anthropogenic radiation contributes little, except close to areas affected by the Chernobyl and Fukushima accidents. However, one can argue that also radiation from building materials, although originating from natural radionuclides, is anthropogenic, as buildings are anthropogenic objects and the choice of building materials is an anthropogenic one.</p><p>We show maps displaying mean ADR for a number of cities. Geology and in some cases, altitude above sea level are clearly reflected in these maps. Besides, we address statistical issues related to spatial dispersion of ADR and of data clustering as resulting from varying and heterogeneous sampling density. Finally, we discuss merits of the Safecast project as well as inevitable limitations.</p><p>[1] www.safecast.org ; Brown, A., Franken, P., Bonner, S., Dolezal, N., Moross, J. (2016): Safecast: successful citizen-science for radiation measurement and communication after Fukushima. Journal of Radiological Protection, 36 (2), S82 – S101; doi:10.1088/0952-4746/36/2/s82</p>


2021 ◽  
Author(s):  
P. Kuča ◽  
J. Helebrant ◽  
P. Bossew

2015 ◽  
Vol 168 (4) ◽  
pp. 561-565 ◽  
Author(s):  
Fumihiko Maedera ◽  
Kazumasa Inoue ◽  
Masato Sugino ◽  
Ryosuke Sano ◽  
Mai Furue ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246742
Author(s):  
Wonjoong Cheon ◽  
Hyunuk Jung ◽  
Moonhee Lee ◽  
Jinhyeop Lee ◽  
Sung Jin Kim ◽  
...  

Purpose We developed a compact and lightweight time-resolved mirrorless scintillation detector (TRMLSD) employing image processing techniques and a convolutional neural network (CNN) for high-resolution two-dimensional (2D) dosimetry. Methods The TRMLSD comprises a camera and an inorganic scintillator plate without a mirror. The camera was installed at a certain angle from the horizontal plane to collect scintillation from the scintillator plate. The geometric distortion due to the absence of a mirror and camera lens was corrected using a projective transform. Variations in brightness due to the distance between the image sensor and each point on the scintillator plate and the inhomogeneity of the material constituting the scintillator were corrected using a 20.0 × 20.0 cm2 radiation field. Hot pixels were removed using a frame-based noise-reduction technique. Finally, a CNN-based 2D dose distribution deconvolution model was applied to compensate for the dose error in the penumbra region and a lack of backscatter. The linearity, reproducibility, dose rate dependency, and dose profile were tested for a 6 MV X-ray beam to verify dosimeter characteristics. Gamma analysis was performed for two simple and 10 clinical intensity-modulated radiation therapy (IMRT) plans. Results The dose linearity with brightness ranging from 0.0 cGy to 200.0 cGy was 0.9998 (R-squared value), and the root-mean-square error value was 1.010. For five consecutive measurements, the reproducibility was within 3% error, and the dose rate dependency was within 1%. The depth dose distribution and lateral dose profile coincided with the ionization chamber data with a 1% mean error. In 2D dosimetry for IMRT plans, the mean gamma passing rates with a 3%/3 mm gamma criterion for the two simple and ten clinical IMRT plans were 96.77% and 95.75%, respectively. Conclusion The verified accuracy and time-resolved characteristics of the dosimeter may be useful for the quality assurance of machines and patient-specific quality assurance for clinical step-and-shoot IMRT plans.


2015 ◽  
Vol 115 ◽  
pp. S139-S140
Author(s):  
A. Espinoza ◽  
M. Petasecca ◽  
I. Fuduli ◽  
A. Howie ◽  
S. Corde ◽  
...  

2004 ◽  
Vol 59 (4) ◽  
pp. 1224-1228 ◽  
Author(s):  
Rupak K. Das ◽  
Rakesh Patel ◽  
Hiral Shah ◽  
Heath Odau ◽  
Robert R. Kuske

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