Recovery of the Surface Density of Radionuclide Contamination of Soil from Aerogamma Survey Data

The recovery of non-uniform surface contamination density from measurements of instrumental spectra performed by the airborne survey method is examined. An algorithm based on Tikhonov’s method of regularization is proposed for solving the inverse problem. The results of testing the chosen algorithm...

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Veröffentlicht in:	Atomic energy (New York, N.Y.) N.Y.), 2019-10, Vol.126 (6), p.393-398
Hauptverfasser:	Aron, D. V., Gavrilov, S. L., Kiselev, A. A., Shvedov, A. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Airborne sensing Algorithms Approximation Cesium 137 Cesium isotopes Cesium radioisotopes Contamination Data recovery Density Energy industry Error analysis Gamma rays Hadrons Heavy Ions Integral equations Inverse problems Noise Nuclear Chemistry Nuclear Energy Nuclear Physics Nuclear power plants Parameters Physics Physics and Astronomy Polls & surveys Radiation Radiation, Background Radioisotopes Regularization Soil contamination Soil pollution Soil surfaces Soils Specific gravity Surveys Unmanned aerial vehicles
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Zusammenfassung:	The recovery of non-uniform surface contamination density from measurements of instrumental spectra performed by the airborne survey method is examined. An algorithm based on Tikhonov’s method of regularization is proposed for solving the inverse problem. The results of testing the chosen algorithm on model problems of recovering the 137 Cs contamination of a soil surface in the form of spots with different activity and size are presented. The influence of the regularization parameter on the recovery error is analyzed, and the optimal values of the regularization parameter are obtained.
ISSN:	1063-4258 1573-8205
DOI:	10.1007/s10512-019-00571-9