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不同海拔地区红外大气透过率的计算和测量

王飞翔 郭杰 许方宇 张雨辰 陈双远 肖建国 贾钰超 罗宏 赵志军

王飞翔, 郭杰, 许方宇, 张雨辰, 陈双远, 肖建国, 贾钰超, 罗宏, 赵志军. 不同海拔地区红外大气透过率的计算和测量[J]. 中国光学(中英文), 2019, 12(4): 843-852. doi: 10.3788/CO.20191204.0843
引用本文: 王飞翔, 郭杰, 许方宇, 张雨辰, 陈双远, 肖建国, 贾钰超, 罗宏, 赵志军. 不同海拔地区红外大气透过率的计算和测量[J]. 中国光学(中英文), 2019, 12(4): 843-852. doi: 10.3788/CO.20191204.0843
WANG Fei-xiang, GUO Jie, XU Fang-yu, ZHANG Yu-chen, CHEN Shuang-yuan, XIAO Jian-guo, JIA Yu-chao, Luo Hong, ZHAO Zhi-jun. Calculation and measurement of infrared atmospheric transmittance at different altitudes[J]. Chinese Optics, 2019, 12(4): 843-852. doi: 10.3788/CO.20191204.0843
Citation: WANG Fei-xiang, GUO Jie, XU Fang-yu, ZHANG Yu-chen, CHEN Shuang-yuan, XIAO Jian-guo, JIA Yu-chao, Luo Hong, ZHAO Zhi-jun. Calculation and measurement of infrared atmospheric transmittance at different altitudes[J]. Chinese Optics, 2019, 12(4): 843-852. doi: 10.3788/CO.20191204.0843

不同海拔地区红外大气透过率的计算和测量

基金项目: 

国家自然科学基金资助项目 11803089

详细信息
    作者简介:

    王飞翔(1995-), 男, 河南驻马店人, 硕士研究生, 主要从事红外辐射方面的研究。E-mail:77902374@qq.com

    郭杰(1979-), 男, 云南昆明人, 博士, 副教授, 主要从事红外探测技术的研究。E-mail:ynnugj@sohu.com

    许方宇(1972-), 男, 云南昆明人, 博士, 副研究员, 2001年、2006年于天津大学分别获得硕士、博士学位, 主要从事红外天文技术方面的研究。E-mail:xu_fangyu@ynao.ac.cn

  • 中图分类号: O434.3;TN215;P422.6+1

Calculation and measurement of infrared atmospheric transmittance at different altitudes

Funds: 

National Natural Science Foundation of China 11803089

More Information
  • 摘要: 为了得到不同海拔地区的大气透过率,探索大气透过率随海拔高度的变化规律,利用数值模拟、软件计算和实地测量方法分别对阿里(5 km)、德令哈(3 km)和怀柔(0 km)3个不同海拔地区在4.605~4.755 μm波段25 km以下的大气透过率进行了计算和测量。结果表明:红外大气透过率随海拔高度增加而增加;采用数值模拟计算得到3个地方的大气透过率分别为0.709、0.572和0.555;采用软件计算得到的透过率分别为0.849、0.766和0.596;采用实测方法得到的透过率分别为0.805、0.766和0.673;阿里地区海拔较高,相对湿度较低,能见度高,大气透过率最好。该结论对国内天文红外观测及空间红外目标辐射特性测量具有重要的借鉴意义。

     

  • 图 1  波长为4.6 μm时水汽含量和平均大气透过率拟合曲线

    Figure 1.  Fitting curve of the relationship between the content of water vapor and average atmosphere transmittance(when λ is 4.6 μm)

    图 2  波长为4.6 μm时二氧化碳含量和大气透过率拟合曲线

    Figure 2.  Fitting curve of the relationship between carbon dioxide content and atmosphere transmittance(when λ is 4.6 μm)

    图 3  拉萨、都兰县、北京探空数据

    Figure 3.  The sounding data of Lhasa, Dulan and Beijing

    图 4  3个地区层数和透过率关系

    Figure 4.  Relationship between layers and atmospheric transmittance in three regions

    图 5  MODTRAN模拟3地大气透过率结果

    Figure 5.  Simulation results of atmospheric transmittances in three regions by MODTRAN

    图 6  仪器读数随角度变化

    Figure 6.  Variance of instrument effective readings with zenith angle

    表  1  海平面水汽含量与平均大气透过率的关系(4.6~4.8 μm处)[11]

    Table  1.   The relationship between the water vapor content in the sea level and the average atmosphere transmittance(from 4.6~4.8 μm)[11]

    λ/μm Water vapor content/mm
    0.1 0.2 0.5 1.0 2.0 5.0 10.0
    4.6 0.996 0.992 0.983 0.969 0.946 0.893 0.830
    4.7 0.992 0.985 0.970 0.949 0.916 0.845 0.760
    4.8 0.975 0.959 0.926 0.889 0.837 0.733 0.621
    下载: 导出CSV

    表  2  海平面二氧化碳含量与大气平均透过率的关系(4.6~4.8 μm处)[14]

    Table  2.   The relationship between the content of Carbon dioxide in the sea level and the average atmosphere transmittance(from 4.6~4.8 μm)[14]

    λ/nm Path length/km
    0.1 0.2 0.5 1.0 2.0 5.0 10.0 20.0 50.0
    4.6 1 1 0.999 0.998 0.996 0.991 0.982 0.969 0.939
    4.7 1 0.999 0.996 0.991 0.982 0.955 0.917 0.855 0.719
    4.8 0.990 0.981 0.956 0.920 0.865 0.754 0.634 0.486 0.261
    下载: 导出CSV

    表  3  3个地区大气透过率数值模拟计算结果

    Table  3.   Calculation results of atmospheric transmittance in three regions with mathematical models

    地点 波长/μm τH2O τCO2 τSC τ τav
    Ali 4.6 0.872 0.982 0.9998 0.857
    4.7 0.743 0.913 0.9998 0.678 0.709
    4.8 0.291 0.028 0.9998 0.008
    Delingha 4.6 0.770 0.978 0.9985 0.752
    4.7 0.582 0.894 0.9985 0.519 0.572
    4.8 0.128 0.016 0.9985 0.002
    Huairou 4.6 0.804 0.966 0.953 0.740
    4.7 0.625 0.839 0.953 0.500 0.555
    4.8 0.148 0.003 0.953 0.0005
    下载: 导出CSV

    表  4  3个地方大气透过率结果对照表

    Table  4.   Comparison of atmospheric transmittance results in three regions

    mathematical model software simulation actual measurement
    Ali 0.709 0.849 0.805
    Delingha 0.572 0.766 0.766
    Huairou 0.555 0.596 0.673
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-01-22
  • 修回日期:  2019-03-01
  • 刊出日期:  2019-08-01

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