摘要
基于成都市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环境颗粒物监测仪的地面逐时观测数据,结合Mie散射理论数值改进算法与免疫进化算法反演了550nm波长处干气溶胶复折射率(DACRI)的实部(n_(re))和虚部(n_(i)).通过分析DACRI反演结果与颗粒物质量浓度之比(BC/PM_(1),BC/PM_(2.5),BC/PM_(10),PM_(1)/PM_(2.5),PM_(1)/PM_(10)和PM_(2.5)/PM_(10))之间的相关性,利用逐步线性回归方法分别构建了n_(re)和n_(i)的参数化方案.n_(re)和n_(i)的参数化方案拟合值与实测值之间的相关系数(R)分别为0.54和0.85(P<0.0001),平均相对误差(MRE)分别为2.31%和15.18%.此外,利用该参数化方案计算的DACRI模拟了一次灰霾演化过程中干气溶胶的散射系数bsp和吸收系数bap,其模拟值与实测值之间的相关系数分别为0.98和0.91(P<0.0001),平均相对误差分别为7.43%和14.97%.
By utilizing the ground-based 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 real part(n_(re))and imaginary part(n_(i))of dry aerosol complex refractive index(DACRI)at the wavelength of 550nm were retrieved by combining immune evolution algorithm with an improved Mie scattering theory algorithm.Stepwise linear regression method was then employed to respectively develop the new parameterization schemes by investigating the correlation between the retrieved DACRI and the ratios of particle mass concentration(BC/PM_(1),BC/PM_(2.5),BC/PM_(10),PM_(1)/PM_(2.5),PM_(1)/PM_(10),and PM_(2.5)/PM_(10)).The correlation coefficients(R)were respectively 0.54 and 0.85(P<0.0001)between n_(re) and n_(i) of DACRI calculated by the parameterization schemes and the observations,and the corresponding mean relative errors(MRE)were respectively 2.31%and 15.18%.These parameterization schemes were further applied to the simulation of the dry aerosol scattering coefficient(bsp)and absorption coefficient(bap)during an evolution of haze.The results show that correlation coefficients were respectively 0.98 and 0.91(P<0.0001)between the simulations and the observations,and that the corresponding mean relative errors were respectively 7.43%and 14.97%.
作者
张智察
倪长健
刘新春
陆辉
白爱娟
ZHANG Zhi-cha;NI Chang-jian;LIU Xin-chun;LU Hui;BAI Ai-juan(College of Atmospheric Science,Chengdu University of Information Technology,Chengdu 610225,China;Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830002,China;College of Resource and Environmental Science,Guangxi Normal University,Guilin 541004,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2021年第2期580-587,共8页
China Environmental Science
基金
国家重点研发计划(2018YFC0214004,2018YFC1506006)
四川省科技厅应用基础研发项目(2021YJ0314)
成都市科技局项目(2019-RK00-00258-ZF)。
关键词
干气溶胶
复折射率
颗粒物质量浓度
逐步线性回归
参数化
dry aerosol
complex refractive index
particles mass concentration
stepwise linear regression
parameterization
