气溶胶谱分段拟合对能见度计算的影响

doi:10.3969/j.issn.1673-6141.2024.03.003

大气与环境光学学报 ›› 2024, Vol. 19 ›› Issue (3): 301-313.doi: 10.3969/j.issn.1673-6141.2024.03.003

气溶胶谱分段拟合对能见度计算的影响

庄子波 1, 杨晓婷 2, 台宏达 3*

1 中国民航大学飞行分校, 天津 300300; 2 中国民航大学安全科学与工程学院, 天津 300300; 3 中国民航大学空中交通管理学院, 天津 300300

收稿日期:2022-11-11 修回日期:2023-01-14 出版日期:2024-05-28 发布日期:2024-06-11
通讯作者: E-mail: hdtai@cauc.edu.cn E-mail:hdtai@cauc.edu.cn
作者简介:庄子波 (1980- ), 山东潍坊人, 硕士, 副教授, 硕士生导师, 主要从事航空气象研究。E-mail: zbzhuang@cauc.edu.cn
基金资助:
国家自然科学基金 (41905129), 天津市自然科学基金多元投入基金面上项目 (21JCYBJC00740)

Influence of segmental fitting of aerosol spectrum on visibility calculation

ZHUANG Zibo 1, YANG Xiaoting 2, TAI Hongda 3*

1 Flight Academy, Civil Aviation University of China, Tianjin 300300, China; 2 College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China; 3 Air Traffic Management College, Civil Aviation University of China, Tianjin 300300, China

Received:2022-11-11 Revised:2023-01-14 Online:2024-05-28 Published:2024-06-11
Supported by:
Tianjin Natural Science Fund multi-investment project;Natural Science Foundation of China

摘要/Abstract

摘要： 针对气溶胶谱分布函数拟合中存在的偏差严重影响能见度计算精度的问题，提出了一种采用Junge 谱与Deirmendjian 谱结合的分段拟合方法来提高气溶胶谱分布函数的精度，并在大气环境模拟舱内进行了实验验证。首先，在大气模拟舱内生成了气溶胶多峰谱分布，建立了气溶胶谱分布的参数化模型。然后，对比分析了所提综合谱分段拟合方法和单一谱函数法拟合谱函数的相对误差和相关系数。最后，基于相对偏差和相关性评估了所提方法计算能见度的精度。结果表明利用所提方法计算获得的能见度与观测值的平均相对偏差为4.87%，相关性R2 = 0.9847，证明其拟合结果具有较好的准确性、稳定性，且与实际观测值具有较好一致性。

关键词: 散射, 分段拟合, 气溶胶谱分布, 数浓度, 能见度

Abstract: Aiming at the problem that the deviation in the fitting of aerosol spectrum distribution function can seriously affect the calculation and prediction of visibility, a segmental fitting method combining Junge spectrum and Deirmendjian spectrum was proposed to improve the fitting accuracy of aerosol spectrum distribution function, and its experimental verification was conducted in the atmospheric environment simulation chamber. Firstly, a multi-modal spectral distribution of aerosols is generated in the atmospheric simulation chamber, and a parametric model of aerosol spectral distribution is established. Then, the relative errors and correlation coefficients of the spectral functions fitted by the proposed method and the single spectral function method are compared and analyzed. Finally, the accuracy of the propsed method in calculating visibility is evaluated based on relative deviation and correlation. The results show that the average relative deviation between the visibility calculated using the proposed method and the observed value is 4.87%, with a correlation of R2 = 0.9847, which verifies that the fitting results have good accuracy, stability and consistency with the observed visibility, and can provide a support for improving the accuracy of visibility calculation and prediction.

Key words: scattering, piecewise fitting, aerosol spectrum distribution, number concentration, visibility

中图分类号:

庄子波, 杨晓婷, 台宏达 . 气溶胶谱分段拟合对能见度计算的影响[J]. 大气与环境光学学报, 2024, 19(3): 301-313.

ZHUANG Zibo , YANG Xiaoting , TAI Hongda . Influence of segmental fitting of aerosol spectrum on visibility calculation[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(3): 301-313.

参考文献 20

[1]	Yang S Y, Zhang T N, Li Y W, et al. Characteristics of aerosol number concentration and size distribution in summer in high
	altitude regions of East China [J]. Transactions of Atmospheric Sciences, 2017, 40(3): 379-389.
	杨素英, 张铁凝, 李艳伟, 等. 华东高海拔地区夏季气溶胶数浓度及谱分布特征 [J]. 大气科学学报, 2017, 40(3): 379-389.
[2]	Xu J W, Liu D, Xie C B, et al. Multi-wavelength fitting simulation and inversion of atmospheric aerosol spectrum distribution
[J]	Acta Optica Sinica, 2017, 37(10): 1001006.
	徐继伟, 刘东, 谢晨波, 等. 大气气溶胶谱分布的多波长拟合模拟反演 [J]. 光学学报, 2017, 37(10): 1001006.
[3]	Peng S, Kang P, Zhang X L, et al. Size distribution of atmospheric particles in Chengdu and its influence on visibility [J]. Acta
	Scientiae Circumstantiae, 2020, 40(12): 4432-4441.
	彭爽, 康平, 张小玲, 等. 成都市大气颗粒物粒径分布及其对能见度的影响 [J]. 环境科学学报, 2020, 40(12): 4432-4441.
[4]	Hao J, Cai Z Y, Liu J L, et al. Observation analyses of aerosol size distribution properties from February to March, 2019 in
	Tianjin urban area [J]. Environmental Science, 2022, 43(8): 3903-3912.
	郝囝, 蔡子颖, 刘敬乐, 等. 天津城区2019年2―3 月气溶胶粒径分布特征观测分析 [J]. 环境科学, 2022, 43(8): 3903-3912.
[5]	Jayaratne E R, Johnson G R, McGarry P, et al. Characteristics of airborne ultrafine and coarse particles during the Australian
	dust storm of 23 September 2009 [J]. Atmospheric Environment, 2011, 45(24): 3996-4001.
[6]	Shi S S, Wang H L, Zhu B, et al. Characterization of aerosol size distributions and chemical compositions under strong wind
	and stagnant conditions during haze episodes in Lin'an, China [J]. Air Quality, Atmosphere & Health, 2019, 12(12): 1469-1481.
[7]	Geng M, Li X B, Qin W B, et al. Research on the characteristics of aerosol size distribution and complex refractive index in
	typical areas of China [J]. Infrared and Laser Engineering, 2018, 47(3): 191-197.
	耿蒙, 李学彬, 秦武斌, 等. 典型地区大气气溶胶谱分布和复折射率特征研究 [J]. 红外与激光工程, 2018, 47(3): 191-197.
[8]	Tammet H, Kulmala M. Performance of four-parameter analytical models of atmospheric aerosol particle size distribution [J].
	Journal of Aerosol Science, 2014, 77: 145-157.
[9]	Olin M, Anttila T, Dal Maso M. Using a combined power law and log-normal distribution model to simulate particle formation
	and growth in a mobile aerosol chamber [J]. Atmospheric Chemistry and Physics, 2016, 16(11): 7067-7090.
[10]	Wang D H, Yin J F, Zhai G Q. In-situ measurements of cloud-precipitation microphysics in the East Asian monsoon region
	since 1960 [J]. Journal of Meteorological Research, 2015, 29(2): 155-179.
[11]	Xu Q, Wang D Q, Wu Z S. Research progress of optical scattering transmission properties of haze and other high concentration
	of atmospheric aerosol [J]. Journal of Atmospheric and Environmental Optics, 2015, 10(6): 437-444.
	徐强, 王东琴, 吴振森. 大气灰霾高浓度气溶胶光学散射传输特性研究进展 [J]. 大气与环境光学学报, 2015, 10(6):
43	7-444.
[12]	Han Y, Liu N W, Zhou G B, et al. Analysis of visibility characteristics in Chongqing and its relationship with particulate
	concentration and meteorological factors [J]. Meteorological Science and Technology, 2022, 50(4): 563-573.
	韩余, 刘宁微, 周国兵, 等. 重庆能见度特征分析及其与颗粒物浓度和气象影响因子的关系 [J]. 气象科技, 2022, 50(4):
56	3-573.
[13]	Ren Z P, Wu J T, Wu X M, et al. Technology on snow simulation in climatic environment test facility [J]. Equipment
	Environmental Engineering, 2020, 17(1): 119-123.
	任战鹏, 吴敬涛, 吴学敏, 等. 气候环境实验室降雪环境模拟技术研究 [J]. 装备环境工程, 2020, 17(1): 119-123.
[14]	Danelli S G, Brunoldi M, Massabò D, et al. Comparative characterization of the performance of bio-aerosol nebulizers in
	connection with atmospheric simulation chambers [J]. Atmospheric Measurement Techniques, 2021, 14(6): 4461-4470.
[15]	Zhang J N, Dong H Y, Bai Z P, et al. Characteristics of atmospheric aerosol particle size distribution during early summer in
	Tianjin [J]. Urban Environment&Urban Ecology , 2007, 20(5): 1-5.
	张金娜, 董海燕, 白志鹏, 等. 天津初夏大气气溶胶粒度谱分布特征 [J]. 城市环境与城市生态, 2007, 20(5): 1-5.
[16]	Tang X Y, Zhang Y H, Shao M. Atmospheric Environmental Chemistry [M]. 2nd ed. Beijing: Higher Education Press, 2006:
26	8-289.
	唐孝炎, 张远航, 邵敏.大气环境化学 [M]. 第二版. 北京: 高等教育出版社, 2006: 268-289.
[17]	Sheng P X, Mao J T, Li J G, et al. Atmospheric Physics [M]. 2nd ed. Beijing: Peking University Press, 2013: 25-28.
	盛裴轩, 毛节泰, 李建国, 等. 大气物理学 [M]. 第二版. 北京: 北京大学出版社, 2013: 25-28.
[18]	Shang Q, Li Z H, Yang J, et al. Size distributions of aerosol particles and the impact on visibility in winter of Nanjing [J].
	Environmental Science, 2011, 32(9): 2750-2760.
	尚倩, 李子华, 杨军, 等. 南京冬季大气气溶胶粒子谱分布及其对能见度的影响 [J]. 环境科学, 2011, 32(9): 2750-2760.
[19]	Cao W, Qiu Y J, Shu Z Z, et al. Progress in atmospheric aerosol size distribution in China [J]. Environmental Science &
	Technology, 2017, 40(12): 87-96.
	曹蔚, 邱玉珺, 舒卓智, 等. 中国大气气溶胶粒谱分布研究进展 [J]. 环境科学与技术, 2017, 40(12): 87-96.
[20]	Tai H D, Zhuang Z B, Jiang L H, et al. Multi-point mobile measurement of atmospheric transmittance [J]. Optics and Precision
	Engineering, 2016, 24(8): 1894-1901.
	台宏达, 庄子波, 蒋立辉, 等. 大气透过率的多点移动测量 [J]. 光学精密工程, 2016, 24(8): 1894-1901.

气溶胶谱分段拟合对能见度计算的影响

Influence of segmental fitting of aerosol spectrum on visibility calculation

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价

[1]	吕炜煜, 陈德鹏, 胡豪, 张玉坤, 卿泽旭, 李岩, 刘李辉, 姚飞, 陈佩雷, 郭欣. 基于光学工程应用的全国陆地主要地区水平消光系数情况初步分析[J]. 大气与环境光学学报, 2024, 19(4): 418-428.
[2]	罗敦艺, 吴东, 贺岩 . 基于CALIOP双波长数据的海面测风信号筛选方法研究[J]. 大气与环境光学学报, 2024, 19(3): 371-381.
[3]	凌新锋, 侯灿, 杨元建, 黄勇, 倪婷 . 淮河流域典型农田区气溶胶散射特性的日变化和季节变化研究[J]. 大气与环境光学学报, 2024, 19(2): 162-174.
[4]	王昊, 孙晓兵, 刘晓, 宋强, 洪津 . 天空可见-近红外光谱偏振态自动测量仪设计[J]. 大气与环境光学学报, 2024, 19(1): 111-124.
[5]	毛敏娟, 刘厚通, 邓芳萍, 董一雷 . 高影响霾天气污染物输送沉降的激光雷达观测[J]. 大气与环境光学学报, 2023, 18(6): 541-552.
[6]	包旭伦, 李毅, 胡译文, 王阳, 牛丹, 臧增亮, 陈夕松 . 基于ConvLSTM和PredRNN的大气能见度预报方法[J]. 大气与环境光学学报, 2023, 18(5): 434-444.
[7]	朱思峰, 朱梦瑶, 伽丽丽, 许华, 李正强, 谢一凇, 洪津, 涂碧海, 孟炳寰 . 高分五号 02 星多角度偏振成像仪在轨辐射性能初步评价[J]. 大气与环境光学学报, 2023, 18(4): 310-322.
[8]	汪惜今, 徐青山, 范传宇, 程晨, 戚鹏, 徐赤东 . 激光雷达探测整层大气昼夜气溶胶光学厚度[J]. 大气与环境光学学报, 2023, 18(1): 14-24.
[9]	蔡振锋, 李丁∗, 黄海虹. 2021 年春季沙尘传输对徐州地区气溶胶演变影响分析[J]. 大气与环境光学学报, 2022, 17(4): 409-419.
[10]	刘凯迪, 吴海滨, 陈新兵, 宋伟∗, 徐雷. 基于Mie 散射理论水雾介质红外辐射衰减的校正研究[J]. 大气与环境光学学报, 2022, 17(4): 476-484.
[11]	赵锋, 冯亚娟∗. 2-甲基甘油酸-硫酸/甲磺酸团簇的大气物化特性研究[J]. 大气与环境光学学报, 2022, 17(2): 213-219.
[12]	李坤∗, 王炜罡, 杜林, 葛茂发, . 芳香化合物生成二次有机气溶胶的光学性质研究进展[J]. 大气与环境光学学报, 2022, 17(1): 29-44.
[13]	金钊, 邱康俊∗, 张苗苗. 基于BP 神经网络的能见度估测研究[J]. 大气与环境光学学报, 2021, 16(5): 415-423.
[14]	蔡熠, 杨卓敏, 张智, 方蔚恺, 余东升, 张战盈, 杨喆, 徐赤东∗. 基于视频图像的能见度计算方法研究[J]. 大气与环境光学学报, 2021, 16(2): 81-87.
[15]	康士鹏, 余同柱, ∗, 桂华侨, ∗, 员永兴, 王焕钦, 刘建国, . 机动车排放超细颗粒物在线监测技术研究进展 #br# [J]. 大气与环境光学学报, 2020, 15(6): 413-428.