航空γ能谱低能区与高能区信息综合应用研究  

Integrated Application of Low Energy Information and High Energy Information from Airborne Gamma-Ray Spectrometry

作　　者：张虹[1] 周锡华[2,3] 米耀辉[2,3] ZHANG Hong;ZHOU Xi-hua;MI Yao-hui(Beijing Information Science＆Technology University,Beijing 100085,China;China Aero Geophysical and Remote Sensing Center for Land and Resources,Beijing 100083,China;Key Laboratory of Airborne Geophysics and Remote Sensing Geology MLR,Beijing 100083,China)

机构地区：[1]北京信息科技大学,北京100085 [2]中国国土资源航空物探遥感中心,北京100083 [3]国土资源部航空地球物理与遥感地质重点实验室,北京100083

出　　处：《核电子学与探测技术》2018年第2期235-240,共6页Nuclear Electronics & Detection Technology

基　　金：国家重点研发计划项目(2017YFC0602100)资助

摘　　要：通过低能区特征峰选择和最佳组合,结合传统采用的高能区标准三窗法,开展航空γ能谱各项修正系数的计算、数据修正以及应用试验等研究工作。提出了利用高能区和低能区中214Bi特征峰测得的U含量的算术平均值作为最终U含量,有效提高了航空γ能谱U含量的测量精度。By selection and optimum combination of the energy peaks in low energy region of gamma-ray spectrometry,combined with the three standard energy windows in the high energy region,we carry out the research work of calculating the correction coefficient,data correction and application test of the airborne gamma-ray spectrometry.The arithmetic mean of uranium content derived from 214 Bi peaks in high-energy region and low energy region is used as the final uranium content,which effectively improves the accuracy of uranium content measurement by airborne gamma ray spectrometry.

关 键 词：低能区 特征峰组合 修正系数 平均U含量 

分 类 号：TL812.1[核科学技术—核技术及应用]