TY - JOUR
T1 - Two independent approaches used for estimating 2d contamination distribution on the ground level- based on air monitoring information
AU - Dubi, Chen
AU - Yaar, Ilan
AU - Mark, Shlomo
PY - 2012/5/25
Y1 - 2012/5/25
N2 - One of the main uses of radiation aerial monitoring is in the mapping of an area contaminated by radioactive isotopes. In this work, we will introduce two independent approaches, redundancy and complementary methods, to estimate the radiation activity level of a contaminated area, using air monitoring information. Due to mathematical limitations, aerial monitoring of a radioactive field can not provide a 3d distribution of the contamination within the radioactive cloud. However, a reasonably good estimation of the 2d contamination distribution on the ground can be obtained by measuring the radioactive field from a constant height of 100 to 500 meters. Two complementary independent approaches have to be used in order to solve this problem: the elementary matrix solution after a conditional simulation and the application based on Stein equation.
AB - One of the main uses of radiation aerial monitoring is in the mapping of an area contaminated by radioactive isotopes. In this work, we will introduce two independent approaches, redundancy and complementary methods, to estimate the radiation activity level of a contaminated area, using air monitoring information. Due to mathematical limitations, aerial monitoring of a radioactive field can not provide a 3d distribution of the contamination within the radioactive cloud. However, a reasonably good estimation of the 2d contamination distribution on the ground can be obtained by measuring the radioactive field from a constant height of 100 to 500 meters. Two complementary independent approaches have to be used in order to solve this problem: the elementary matrix solution after a conditional simulation and the application based on Stein equation.
M3 - Article
SN - 2041-3165
VL - 3
SP - 213
EP - 220
JO - Mathematics in Engineering, Science and Aerospace
JF - Mathematics in Engineering, Science and Aerospace
IS - 2
ER -