耦合气溶胶双参数化方案的大气能见度数值改进算法

张智察, 倪长健, 赵军平, 冯淼, 谢滟馨, 王杨菲

中国环境科学 ›› 2021, Vol. 41 ›› Issue (11) : 5009-5018.

PDF(1706 KB)
PDF(1706 KB)
中国环境科学 ›› 2021, Vol. 41 ›› Issue (11) : 5009-5018.
大气污染与控制

耦合气溶胶双参数化方案的大气能见度数值改进算法

  • 张智察1,2, 倪长健1, 赵军平2, 冯淼3, 谢滟馨1, 王杨菲1
作者信息 +

An improved numerical algorithm for simulating atmosphere visibility by coupling two aerosol parameterization schemes

  • ZHANG Zhi-cha1,2, NI Chang-jian1, ZHAO Jun-ping2, FENG Miao3, XIE Yan-xin1, WANG Yang-fei1
Author information +
文章历史 +

摘要

将气溶胶复折射率(Aerosol Complex Refractive Index,ACRI)和气溶胶粒径吸湿增长因子(Growth Factor,Gf(RH))参数化方案进行耦合,提出了一种基于Mie散射模型的大气能见度数值改进算法.并利用成都市2017年10~12月WS600一体式气象站、AURORA-3000积分浊度计、AE-31黑碳仪以及GRIMM180环境颗粒物监测仪分别观测获得的相对湿度(RH),干气溶胶散射系数(bsp),干气溶胶吸收系数(bsp),气溶胶质量浓度(PM10,PM2.5,PM1)及其数浓度粒径分布(N[r(RH)])的地面逐时观测资料,通过与两种能见度计算模型(经验参数的Mie散射模型和统计模型)在不同能见度区间(<2km,2~5km,5~10km,>10km)模拟结果的对比分析,评估了该改进算法的适用性.结果表明:三种能见度计算方法均能较好地模拟出能见度的变化特征;改进算法通过本地化参数化方案更准确地估计出DACRI和Gf(RH),从而可更准确地模拟出四类能见度区间,对应模拟值与实测值的相关系数(R)分别为0.62,0.90,0.89,0.93,平均相对误差(MRE)分别为9.86%,10.39%,9.94%,14.06%.

Abstract

Based on the Mie theory, an improved numerical algorithm for simulating atmosphere visibility was proposed by coupling the parameterization schemes of aerosol complex refractive index (DACRI) and aerosol hygroscopic growth factor Gf(RH). By utilizing the monitored data at an hourly time step recorded by WS600 integrated weather station, AURORA-3000 integrating nephelometer, AE-31aethalometer and GRIMM180 environment particle monitors from October to December in 2017 in Chengdu, the applicability of the improved algorithm was futher evaluated by compared with those of two visibility calculation methods, which are Mie theory model with empirical parameters and statistical model, in different visibility intervals (<2km, 2~5km, 5~10km, >10km). The results show that the three visibility calculation methods can capture the variation characteristics of visibility well; The improved algorithm better simulate visibility by adopting localization parameterization schemes to estimate DACRI and Gf(RH). The corresponding correlation coefficients (R) between the simulation and the observation are 0.62, 0.90, 0.89, and 0.93, respectively. The mean relative error (MRE) are 9.86%, 10.39%, 9.94%, and 14.06%, respectively.

关键词

参数化方案 / 复折射率 / 能见度 / 气溶胶 / 吸湿增长因子

Key words

aerosol / complex refractive index / hygroscopic growth factor / parameterization scheme / visibility

引用本文

导出引用
张智察, 倪长健, 赵军平, 冯淼, 谢滟馨, 王杨菲. 耦合气溶胶双参数化方案的大气能见度数值改进算法[J]. 中国环境科学. 2021, 41(11): 5009-5018
ZHANG Zhi-cha, NI Chang-jian, ZHAO Jun-ping, FENG Miao, XIE Yan-xin, WANG Yang-fei. An improved numerical algorithm for simulating atmosphere visibility by coupling two aerosol parameterization schemes[J]. China Environmental Science. 2021, 41(11): 5009-5018
中图分类号: X513   

参考文献

[1] 张小曳.中国大气气溶胶及其气候效应的研究[J]. 地球科学进展, 2007,22(1):12-16.Zhang X Y.Aerosol over China and their climate effect[J]. Advances in Earth Science, 2007,22(1):12-16.
[2] 吴兑,毛节泰,邓雪娇,等.珠江三角洲黑碳气溶胶及其辐射特性的观测研究[J]. 中国科学:地球科学, 2009,(11):1542-1553.Wu D, Mao J T, Deng X J, et al. Black carbon aerosols and their radiative properties in the Pearl River Delta region[j]. Sci. China Ser. D-Earth Sci., 2009,52(8):1152-1163.
[3] Koschmieder H. Theorie der horizontalen Sichtweite[J]. Beitrage zur Physik der freien Atmosphare, 1924:33-53.
[4] 刘新罡,张远航.基于观测的大气气溶胶散射吸湿增长因子模型研究-以2006CAREBeijing加强观测为例[J]. 中国环境科学, 2009,29(12):1243-1248.Liu X G, Zhang Y H. Modelling research on the aerosol scattering hygroscopic growth factor based on measurement-Taking 2006 CAREBeijing campaign for example[J]. China Environment Science, 2009,29(12):1243-1248.
[5] 杨寅山,倪长健,邓也,等.成都市冬季大气消光系数及其组成的特征研究[J]. 环境科学学报, 2019,39(5):1425-1432.Yang Y S, Ni C J, Deng Y, et al. Characteristics of atmospheric extinction coefficient and its components in winter in Chengdu[J]. Acta Scientiae Circumstantiae, 2019,39(5):1425-1432.
[6] Pitchford M, Maim W, Schichtel B, et al. Revised algorithm for estimating light extinction from IMPROVE particle speciation data[J]. Journal of the Air & Waste Management Association, 2007,57(11):1326-1336.
[7] Malm W C, et al. Spatial and seasonal patterns and temporal variability of haze and its constituents in the United States reports IV[R]. 2006:1-251.
[8] 马乾坤,成春雷,李梅,等.鹤山气溶胶光学性质和单颗粒化学组分的研究[J]. 中国环境科学, 2019,39(7):2710-2720.Ma Q K, Cheng C L, Li M, et al. The aerosol optical characteristics and chemical composition of single particles in Heshan[J]. China Environmental Science, 2019,39(7):2710-2720.
[9] 江家豪,彭杏,朱波,等. 深圳大气PM2.5化学组成的长期变化特征[J]. 中国环境科学, 2021,41(2):574-579.Jiang J H, Peng X, Zhu B, et al. Long-term variational characteristics of the chemical composition of PM2.5 in Shenzhen. China Environmental Science, 2021,41(2):574-579.
[10] 黄元龙.上海市大气气溶胶光学与化学性质研究[D]. 上海:复旦大学, 2014.Huang Y L. Field studies of aerosol optical and chemical properties in Shanghai[D]. Shanghai:Fudan University, 2014.
[11] Liu X, Zhang Y, Jung J, et al. Research on the hygroscopic properties of aerosols by measurement and modeling during CARE Beijing-2006[J]. Journal of Geophysical Research Atmospheres, 2009,114(D00G16).
[12] 白永清,祁海霞,刘琳,等.武汉大气能见度与PM2.5浓度及相对湿度关系的非线性分析及能见度预报[J]. 气象学报, 2016,74(2):189-199.Bai Y Q, Qi H X, Liu L, et al. Study on the nonlinear relationship among the visibility, PM2.5 concentration and relative humidity in Wuhan and the visibility prediction[J]. Journal of Meteorology, 2016, 74(2):189-199.
[13] Chen J, Zhao C S, Ma N, et al. A parameterization of low visibilities for hazy days in the North China Plain[J]. Atmospheric Chemistry & Physics Discussions, 2012,12(11):4935-4950.
[14] Chen J, Zhao C S, Ma N, et al. Aerosol hygroscopicity parameter derived from the light scattering enhancement factor measurements in the North China Plain[J]. Atmospheric Chemistry & Physics, 2014, 14(3):8105-8118.
[15] 张智察,倪长健,邓也,等.气溶胶等效复折射率反演的免疫进化算法[J]. 中国环境科学, 2019,39(2):554-559.Zhang Z C, Ni C J, Deng Y, et al. Retrieval of equivalent complex refractive index of aerosol particles based on immune evolution algorithm[J]. China Environmental Science, 2019,39(2):554-559.
[16] 张智察,倪长健,邓也,等.免疫进化算法反演均匀混合气溶胶吸湿增长因子[J]. 中国环境科学, 2020,40(3):82-89.Zhang Z C, Ni C J, Deng Y, et al. Retrieval of hygroscopic growth factorof uniformly mixedaerosol particles based on immune evolution algorithm[J]. China Environmental Science, 2020,40(3):82-89.
[17] 周鑫,丁菊丽,田伟,等.能见度参数化方案概述[J]. 气象研究与应用, 2009,30(3):20-23.Zhou X, Ding J L, Tian W, et al. introduction of visibility parameterization scheme[J]. Journal of Meteorological Research and Application, 2009,30(3):20-23.
[18] 胡俊,赵天良,张泽锋,等.霾污染环境大气能见度参数化方案的改进[J]. 环境科学研究, 2017,30(11):1680-1688.Hu J, Zhao T L, Zhang Z F, et al. Upgrading atmospheric visibility parameterization scheme for haze pollution environment[J]. Research of Environmental Sciences, 2017,30(11):1680-1688.
[19] Kotchenruther R A, Hobbs P V, Hegg D A. Humidification factors for atmospheric aerosols off the mid-Atlantic coast of the United States[J]. Journal of Geophysical Research Atmospheres, 1999,104(D2):2239-2251.
[20] Bodhaine B. Aerosol absorption measurements at Barrow, Mauna Loa and the south pole[J]. Journal of Geophysical Research Atmospheres, 1995,100(D5):8967-8975.
[21] 伯广宇,刘东,吴德成,等.双波长激光雷达探测典型雾霾气溶胶的光学和吸湿性质[J]. 中国激光, 2014,41(1):0113001.Bo G Y, Liu D, Wu D C, et al. Two-wavelength lidar for observation of aerosol optical and hygroscopic properties in fog and haze days[J]. Chinese Journal of Lasers, 2014,41(1):0113001.
[22] 李梅芳,叶芝祥.基于太阳光度计的成都双流地区夏季气溶胶光学特性研究[J]. 成都信息工程学院学报, 2014,29(2):213-216.Li M F, Ye Z X. The studies of aerosol optical properties of Chengdu Shuangliu in summer based on the sun photometer[J]. Journal of Chengdu University of Information Technology, 2014,29(2):213-216.
[23] Penndorf Rudolf. Tables of the refractive index for standard air and the rayleigh scattering coefficient for the spectral region between 0.2 and 20.0μ and their application to atmospheric optics[J]. Journal of the Optical Society of America, 1957,47(2):176-182.
[24] Sloane C S, Wolff G T. Prediction of ambient light scattering using a physical model responsive to relative humidity:Validation with measurements from Detroit[J]. Atmospheric Environment, 1985, 19(4):669-680.
[25] 张智察,倪长健,尹单丹,等.两种气溶胶消光吸湿增长因子的适用性分析[J]. 激光与光电子学进展, 2020,57(9):090103.Zhang Z C, Ni C J, Yin D D, et al. Applicability of the two kinds of aerosol extinction hygroscopic growth factors[J]. Laser & Optoelectronics Progress, 2020,57(9):090103.
[26] 陈一娜,赵普生,何迪,等.北京地区大气消光特征及参数化研究[J]. 环境科学, 2015,36(10):3582-3589.Chen Y N, Zhao P S, He D, et al. Characteristics and parameterization for atmospheric extinction coefficient in Beijing[J]. Environmental Science, 2015,36(10):3582-3589.
[27] Bohren C F, Huffman D R. Absorption and scattering of light by small particles[M]. John Wiley & Sons Inc. 1983.
[28] 沈建琪,刘蕾.经典Mie散射的数值计算方法改进[J]. 中国粉体技术, 2005,11(4):45-50.Shen J Q, Liu L. An improved algorithm of classical Mie scattering calculation[J]. China Powder Science and Technology, 2005,11(4):45-50.
[29] 孙景群.湿气溶胶的光散射特性[J]. 高原气象, 1983,2(3):49-54.Sun J Q. Relationship between visibility and relative humidity[J]. Plateau Meteorology, 1983,2(3):49-54.
[30] 孙景群.能见度与相对湿度的关系[J]. 气象学报, 1985,43(2):230-234.Sun J Q. The relationship between visibility and relative humidity[J]. Journal of Meteorology, 1985,43(2):230-234.
[31] Kasten F. Visibility forecast in the phase of pre-condensation[J]. Tellus, 1969,21(5):631-635.
[32] Ycc A, Rws A, Ghm A, et al. Source apportionment of visibility degradation problems in Brisbane (Australia) using the multiple linear regression techniques[J]. Atmospheric Environment, 1999,33(19):3237-3250.
[33] Ebert M, Weinbruch S, Rausch A, et al. The complex refractive index of aerosols during LACE 98 as derived from the analysis of indivi-dual particles[J]. Journal of Geophysical Research:Atmospheres, 2002,107(D21):LAC 3.
[34] Wex H, Neusü C, Koziar C, et al. Particle scattering, backscattering, and absorption coefficients:An in situ closure and sensitivity study[J]. Journal of Geophysical Research Atmospheres, 2002,107(21):LAC 4.
[35] Cheng Y F, Eichler H, Wiedensohler A, et al. Mixing state of elemental carbon and non-light-absorbing aerosol components derived from in situ particle optical properties at Xinken in Pearl River Delta of China[J]. Journal of Geophysical Research Atmospheres, 2006,111(20):4763-4773.

基金

国家重点研发计划项目(2018YFC0214004;2018YFC1506006);四川省科技厅应用基础研究(2021YJ0314)

PDF(1706 KB)

Accesses

Citation

Detail

段落导航
相关文章

/