霾过程气溶胶吸湿参数变化的多因素影响分析  

Multifactorial impact analysis of aerosol hygroscopic parameters during haze process

作　　者：米家媛 邓也 李昕翼 佟景哲 李娜 倪长健[1] MI Jia-yuan;DENG Ye;LI Xin-yi;TONG Jing-zhe;LI Na;NI Chang-jian(College of Atmospheric Science,Chengdu University of Information Technology,Chengdu 610225,China;Jilin Meteorological Information Network Center,Changchun 130062,China;Chengdu Academy of Environmental Sciences,Chengdu 610072,China;Chengdu Meteorological Service,Chengdu 611130,China;Liaoning Provincial Meteorological Equipment Support Center,Shenyang 110166,China)

机构地区：[1]成都信息工程大学大气科学学院,四川成都610225 [2]吉林省气象信息网络中心,吉林长春130062 [3]成都市环境保护科学研究院,四川成都610072 [4]成都市气象局,四川成都611130 [5]辽宁省气象装备保障中心,辽宁沈阳110166

出　　处：《中国环境科学》2025年第3期1210-1217,共8页China Environmental Science

基　　金：国家重点研发计划(2023YFC3709301);四川省科技教育联合基金项目(2024NSFSC1983)。

摘　　要：基于成都市2017年10~12月的逐时观测数据,以及该时段同时次大气能见度(V)、相对湿度(RH)和二氧化氮(NO_(2))监测资料,通过耦合免疫进化算法和Mie散射理论反演气溶胶粒径吸湿增长因子(Gf).利用κ-kohler理论计算气溶胶吸湿参数κ,分析了霾过程气溶胶吸湿参数κ的变化特征及其影响因素.结果表明:轻微、轻度、中度和重度霾强度条件下,气溶胶吸湿参数κ分别为(0.142±0.092)、(0.149±0.088)、(0.191±0.061)和(0.200±0.041).气溶胶吸湿参数κ的解释变量集包括C_(BC),C_(BC)/C_(PM_(2.5)),C_(PM_(1))/C_(PM_(2.5))和C_(PM_(2.5))/C_(PM_(10))(C_(BC)、C_(PM_(1))、C_(PM_(2.5))、C_(PM_(10))分别为BC、PM_(1)、PM_(2.5)、PM_(10)的质量浓度),各变量对气溶胶吸湿参数κ的解释能力随霾强度的变化存在显著的差异.多因素GAM模型可以很好地表征气溶胶吸湿参数κ的变化特征(通过了α=0.01的显著性检验),在轻微、轻度、中度和重度霾条件下,对应的调整判定系数(R^(2))分别为0.303、0.488、0.504、0.631,压轴回归决定系数(R^(2))分别为0.327、0.517、0.558、0.739,残差平方和(RSS)分别为1.448、0.721、0.209、0.025.上述成果揭示了气溶胶吸湿参数κ多因素影响的复杂性及其与灰霾演化的内在联系.Based on the hourly observational data from October to December 2017 in Chengdu,as well as the simultaneous data of atmospheric visibility(V),relative humidity(RH)and nitrogen dioxide(NO_(2)),aerosol hygroscopic growth factor(Gf)was retrieved by Mie scattering theory coupled with immune evolutionary algorithm,and then aerosol hygroscopic parameterκwas calculated byκ-kohler theory,the variation characteristics of aerosol hygroscopic parameterκand its influencing factors were analyzed during the haze process.The results showed that:The aerosol hygroscopic parametersκwere 0.142±0.092、0.149±0.088、0.191±0.061and0.200±0.041 under mild,light,moderate and heavy haze intensity conditions respectively.The set of explanatory variables of aerosol hygroscopicity parameterκwas determined,including C_(BC),C_(BC)/C_(PM_(2.5)),C_(PM_(1))/C_(PM_(2.5))and C_(PM_(2.5))/C_(PM_(10))(C_(BC),C_(PM_(1)),C_(PM_(2.5))and C_(PM_(10))represented mass concentrations of BC,PM_1,PM_(2.5)and PM_(10)respectively).There were significant differences in the explanatory power for aerosol hygroscopic parameterκof each variable as the haze intensities changed.The multifactor GAM model could be well characterized aerosol hygroscopic parameterκvariation(passed the significance test ofα=0.001).As to the above four haze conditions,the corresponding adjusted coefficients of determination(R^(2))were 0.303,0.488,0.504 and 0.631,the coefficients of determination(R^(2))for the regression of the pressure axis were 0.327,0.517,0.558 and 0.739,and the residual sum of squares(RSS)were 1.448,0.721,0.209,and 0.025,respectively.The above study revealed the complexity of the multifactorial influence on aerosol hygroscopic parameterκ,and further clarified the intrinsic connection between aerosol hygroscopicity and haze evolution.

关 键 词：气溶胶 吸湿参数 霾强度 GAM模型 成都 

分 类 号：X513[环境科学与工程—环境工程]