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基于极光光谱图像的氧辐射特征仿真推演
引用本文:孔婉秋,吴家骥,胡泽骏,GwanggilJeon. 基于极光光谱图像的氧辐射特征仿真推演[J]. 南京气象学院学报, 2018, 10(1): 113-122
作者姓名:孔婉秋  吴家骥  胡泽骏  GwanggilJeon
作者单位:西安电子科技大学 电子工程学院, 西安, 710071,西安电子科技大学 电子工程学院, 西安, 710071,国家海洋局极地科学重点实验室 中国极地研究中心, 上海, 200136,西安电子科技大学 电子工程学院, 西安, 710071
基金项目:国家自然科学基金(61775175,61377011,41274164);国家重大科技基础设施项目——东半球空间环境地基综合监测子午链项目
摘    要:极光分光光谱仪成像所得重要辐射特征包括氧原子所激发的557.7、630.0、636.4 nm谱线,这些谱线和入射电离层的高能电子能通量、中高层大气粒子成分密度等都有着紧密联系.本文结合引发极光的电子碰撞反应物理机制构建氧辐射特征仿真模型,利用极光光谱图像557.7、630.0 nm谱线估计最接近真实成像情况下的入射电子能通量,实验结果表明仿真中基于假设光强比推演得到的氧辐射谱线像素预测值较真实值高估了1~1.29倍.

关 键 词:极光  光谱图像  粒子沉降  电离层特性  电子能通量
收稿时间:2017-11-10

Simulation to deduce oxygen radiation characteristics based on aurora spectral images
KONG Wanqiu,WU Jiaji,HU Zejun and Gwanggil Jeon. Simulation to deduce oxygen radiation characteristics based on aurora spectral images[J]. Journal of Nanjing Institute of Meteorology, 2018, 10(1): 113-122
Authors:KONG Wanqiu  WU Jiaji  HU Zejun  Gwanggil Jeon
Affiliation:School of Electronic Engineering, Xidian University, Xi''an 710071,School of Electronic Engineering, Xidian University, Xi''an 710071,SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136 and School of Electronic Engineering, Xidian University, Xi''an 710071
Abstract:The significant radiation features acquired by aurora spectrometer include spectral lines at 557.7,630.0 and 636.4 nm emitted from oxygen atoms.And these lines are deeply influenced by energy and flux of high energy electrons which penetrate into ionosphere,by the particle density of middle and upper atmosphere,and so on.This paper presents a model to deduce oxygen radiation characteristics based on physical principles of electron impact reactions which cause aurora.By utilizing spectral information at 557.7 and 630.0 nm of aurora spectral image,this model estimates incident electron energy and flux which are closest to those under the practical imaging environment.Experimental results show that for oxygen radiation lines,the predicted values calculated by the presented model overestimate the true values by 1-1.29 times.
Keywords:aurora  spectral image  particle precipitation  ionospheric characteristics  electron energy and flux
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