摘要
基于成都市2017年10—12月逐时“干”状态气溶胶散射系数和吸收系数观测数据,结合该时段同时次大气能见度(V)、相对湿度(RH)和二氧化氮(NO_(2))浓度监测资料,采用光学综合法计算气溶胶散射吸湿增长因子(f),探究f因子对RH和气溶胶组分协同变化的复杂响应关系。首先,利用相关性分析和方差膨胀因子相结合的方法诊断RH、黑碳气溶胶(BC)质量浓度(ρ_(BC))、ρ_(BC)/PM_(1)质量浓度(ρ_(PM1))、ρ_(BC)/PM_(2.5)质量浓度(ρ_(PM2.5))、ρ_(BC)/PM_(10)质量浓度(ρ_(PM1)0)、ρ_(PM1)/ρ_(PM2.5)、ρ_(PM1)/ρ_(PM10)和ρ_(PM2.5)/ρ_(PM10)之间的多重共线性问题,提出f因子解释变量集(RH、ρ_(BC)、ρ_(BC)/ρ_(PM2.5)、ρ_(PM1)/ρ_(PM2.5)和ρ_(PM2.5)/ρ_(PM10))。其次,针对f因子单变量广义可加模型(GAM)的分析结果表明,RH虽然是f因子的决定性影响因素,但f因子与其他解释变量,尤其是ρ_(BC)也呈显著非线性关系(均通过α=0.01的显著性检验)。最后,以RH、ρ_(BC)、ρ_(BC)/ρ_(PM2.5)、ρ_(PM1)/ρ_(PM2.5)和ρ_(PM2.5)/ρ_(PM10)为自变量构建了f因子多变量影响的GAM模型,其对应的调整后的判定系数和压轴回归决定系数分别为0.787和0.797,气溶胶散射吸湿增长因子的模拟效果得到显著提升。
Based on the hourly observation data of“dry”aerosol scattering coefficient and absorption coefficient,as well as the simultaneous monitoring data including visibility(V),relative humidity(RH),and nitrogen dioxide(NO_(2))during October to December 2017 in Chengdu,aerosol scattering hygroscopic growth factor(f)was calculated by optical synthesis method,and then the complex response-relationship of f to synergistic action between RH and aerosol components was further investigated.Firstly,there were strong multicollinearity among different indicators including RH,ρ_(BC),ρ_(BC)/ρ_(PM1),ρ_(BC)/ρ_(PM2.5),ρBC/ρ_(PM1)0,ρ_(PM1)/ρ_(PM2.5),ρ_(PM1)/ρ_(PM10),andρ_(PM2.5)/ρ_(PM1)0 by using the method of correlation analysis combined with variance inflation factor(ρ_(BC),ρ_(PM1),ρ_(PM2.5)andρ_(PM10)represent mass concentrations of BC,PM_(1),PM_(2.5),and PM_(10),respectively).Subsequently,the explanatory variable set of f which included RH,ρ_(BC),ρ_(BC)/PM_(2.5),ρ_(PM1)/ρ_(PM2.5),andρ_(PM2.5)/ρ_(PM1)0 were obtained.Secondly,the diagnostic results of f single-variable by adopting generalized additive model(GAM)validated that although RH was the decisive influencing factor of f,f also had significant nonlinear relationship with other explanatory variables(all passed the significance test ofα=0.01),especiallyρ_(BC).Finally,the model of the multivariable influence factors of f were constructed based on GAM and the corresponding independent variables including RH,ρ_(BC),ρ_(BC)/ρ_(PM2.5),ρ_(PM1)/ρ_(PM2.5)andρ_(PM2.5)/ρ_(PM10),respectively.The corresponding adjustment determination coefficient(R 2)and the determination coefficient of reduced major axis regression were 0.787 and 0.797,respectively,which significantly improved the simulation effect of aerosol scattering hygroscopic growth factor.
作者
佟景哲
倪长健
杜云松
陈云强
张城语
TONG Jing-zhe;NI Chang-jian;DU Yun-song;CHEN Yun-qiang;ZHANG Cheng-yu(College of Atmospheric Science,Chengdu University of Information Technology,Chengdu 610225,China;Plateau Atmospheres and Environment Key Laboratory of Sichuan Province,Chengdu 610225,China;Sichuan Environmental Monitoring Center,Chengdu 610091,China;Sichuan Meteorological Service Center,Chengdu 610072,China)
出处
《生态与农村环境学报》
CAS
CSCD
北大核心
2022年第5期636-644,共9页
Journal of Ecology and Rural Environment
基金
四川省科学技术厅应用基础研究项目(2021YJ0314)
国家重点研发计划(2018YFC0214004,2018YFC1506006)。
关键词
气溶胶
散射吸湿增长因子
光学综合法
GAM模型
成都
aerosol
scattering hygroscopic growth factor
optic synthesis method
generalized additive model
Chengdu
