摘要
通过手工采集“奎屯—独山子”区域中冬季PM 2.5,对SO4^2-、NO3^-、NO2^-、Cl^-、F^-、K^+、Ca^2+、Na^+、Mg^2+和NH^ 4+等水溶性离子特征进行了研究,结果表明:“奎屯—独山子”区域冬季PM 2.5中水溶性无机离子浓度分布为工业区与生活区较为相近,其中F-、NH 4+和K+在2#生活区的浓度最大;NO3^2-、Na^+、Ca^2+、Mg^2+在1#生活区的浓度最大;SO4^2-在1#生活区和4#工业园区的浓度最大;Cl-在3#工业园区的浓度最大。通过与北京同期数据相比,除SO 42+外,其余离子浓度与北京同期相当或低于北京同期值;“奎屯—独山子”区域冬季颗粒物整体呈酸性,生活区2#点酸性最弱,1#点最强,生活区和工业区无明显功能区分布特征;本次调查期间属于重污染天气,且本次污染期间固定源较之于移动源的贡献更显著。
The characteristics of water-soluble ions such as SO42^-,NO3^-,NO2^-、Cl^-,F^-,K^+,Ca^2+,Na+,Mg^2+and NH 4+were studied by manually collecting PM 2.5 in winter in the"Kuitun-Dushanzi"area.The results show that the concentration distribution of water-soluble inorganic ions in PM 2.5 in the industrial area and the living area in the winter area of"Kuitun-Dushanzi"area is relatively similar.Among them,F-,NH 4+and K+have the highest concentration in 2#living area,NO 32^-,Na^+,Ca^ 2+,Mg^ 2+have the highest concentration in 1#living area,and SO 42-has the highest concentration in the 1#living area and 4#industrial area,Cl-has the highest concentration in the 3#industrial area.The concentration of most ions in the living area is slightly higher than that in the industrial area,and the discharge of atmospheric pollutants from the industrial area has affected the living area to a certain extent.Compared with the same period data in Beijing,except for SO 42+,the remaining ion concentrations are comparable to or lower than the same period in Beijing.The winter particulate matter in the“Kuitun-Dushanzi”area is acidic overall.The acidity at point 2#is the weakest and the point 1#is the strongest.There are no obvious functional area distribution characteristics in the living and industrial areas.This survey period is heavily polluted weather,and the contribution of fixed sources is more significant than that of mobile sources during this pollution period.
作者
郭宇宏
王琳琳
康宏
谷超
杨焕明
纪元
GUO Yu-hong;WANG Lin-lin;KANG Hong;GU Chao;YANG Huan-ming;JI Yuan(Xinjiang Ecological Environment Monitoring Centre,Urumqi Xinjiang,830011)
出处
《干旱环境监测》
2020年第2期49-53,共5页
Arid Environmental Monitoring
基金
新疆高技术发展项目(201216148)。