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昆山市不同污染条件下PM_(2.5)水溶性离子时间变化特征及其源解析 被引量:5

Temporal variations and source apportionment of water⁃soluble inorganic ions of PM_(2.5) observed in Kunshan under different pollution conditions
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摘要 为了探明昆山市不同污染条件下PM_(2.5)中水溶性无机离子的污染特征以及本地源排放占主导时对污染过程的贡献,本研究使用昆山市2017年3月—2018年2月期间PM_(2.5)、水溶性无机离子及其气态前体物数据,分别探讨了水溶性无机离子及其气态前体物在污染天气和清洁天气情况下的变化特征,揭示了它们在污染天气和清洁天气下的变化机制.同时结合周围城市PM_(2.5)浓度筛选出昆山市秋、冬季局地污染事件,利用主成分分析(principle component analysis,PCA)方法对筛选出的局地污染事件中的水溶性无机离子数据进行了来源解析,定量评估了本地源排放占主导时不同水溶性无机离子对灰霾污染事件过程中PM_(2.5)浓度的贡献.结果表明:①SO^(2-)_(4)、NO^(-)_(3)、NH^(+)_(4)(合称SNA)是PM_(2.5)的重要组分,且其相对贡献随着大气污染加重而变化.3种离子在清洁和污染条件下对PM_(2.5)的相对贡献分别是49.4%~62.3%和52.7%~65.9%.在3种主要的水溶性无机离子中,NO^(-)_(3)浓度最高,其次是SO^(2-)_(4)和NH^(+)_(4).随着污染加重,SO^(2-)_(4)的贡献率下降,而NO^(-)_(3)的贡献率上升.②污染天气下3种离子日变化规律不同,且存在明显季节差异.其中秋冬季SO^(2-)_(4)和NH^(+)_(4)与各自气态前体物变化趋势一致且为单峰型;NO^(-)_(3)为单峰型而其前体物则为双峰型.另外,NO^(-)_(3)与NH^(+)_(4)日变化趋势较为一致,表明昆山地区SNA多以NH_(4)NO_(3)形式存在.③2017—2018年秋冬季由本地源排放占主导的污染天气下,PM_(2.5)的主要来源是二次气粒转化、建筑扬尘、生物质燃烧和燃煤;除了Mg^(2+)和Ca^(2+),其他水溶性离子浓度均低于非本地源排放占主导的污染天气下的浓度. One⁃year observational data of PM_(2.5),water⁃soluble inorganic ions,gaseous precursors observed at Kunshan from March 2017 to February 2018 were presented to characterize daily and seasonal variation patterns of water⁃soluble inorganic ions of PM_(2.5) under different pollution conditions.The principle component analysis(PCA)was then used to identify individual sources that were responsible for water⁃soluble inorganic ions under the local⁃source dominated air pollution events during fall and winter of 2017—2018.Three major findings were identified from this study.First,SO^(2-)_(4),NO^(-)_(3),NH^(+)_(4)(SNA)were the three major contributors to PM_(2.5),with the percentage contributions of 49.4%~62.3% and 52.7%~65.9% for the clean and pollution conditions,respectively.Among the three major water⁃soluble inorganic ions,NO^(-)_(3) had the highest concentrations,followed by SO^(2-)_(4) and NH^(+)_(4).Percentage contribution of SO^(2-)_(4) decreased whereas that of NO^(-)_(3) increased as haze pollution became heavier.Second,the three water⁃soluble inorganic ions of PM_(2.5) showed different diurnal variation patterns with a large seasonal discrepancy under polluted conditions.Both SO^(2-)_(4) and NH^(+)_(4) showed unimodal diurnal variation patterns which were similar to their respective gaseous precursors in autumn and winter.NO^(-)_(3) showed an unimodal diurnal variation pattern whereas its precursor displayed bimodal pattern.Similar diurnal variation trends of NO^(-)_(3) and NH^(+)_(4) indicated that NH_(4)NO_(3)accounted for a large portion of SNA in Kunshan and surrounding areas.Third,gas-to-particle conversion,construction dust,biomass burning,and coal consumption were the three major contributors to the local sources dominated PM_(2.5) pollution events in fall and winter from 2017 to 2018.It is noticed that the local sources dominated PM_(2.5)pollution events had lower water⁃soluble inorganic ions than non⁃local sources dominated events except for Mg^(2+)and Ca^(2+)in Kunshan and surrounding areas.
作者 吕青 包云轩 陈粲 汪婷 吴俊梅 唐倩 季群 LÜ Qing;BAO Yunxuan;CHEN Can;WANG Ting;WU Junmei;TANG Qian;JI Qun(Collaborative Innovation Center for Meteorological Disaster Prediction and Assessment,Nanjing University of Information Science and Technology,Nanjing 210044;Key Laboratory of Agricultural Meteorology,Jiangsu Province,Nanjing University of Information Science and Technology,Nanjing 210044;Key Laboratory of Traffic Meteorology,China Meteorological Administration,Nanjing 210009;Kunshan Meteorological Bureau,Kunshan 215300)
出处 《环境科学学报》 CAS CSCD 北大核心 2021年第2期354-363,共10页 Acta Scientiae Circumstantiae
基金 江苏省青年基金(No.BK20150909) 南京土壤研究所开放基金(No.Y20160038) 中国博士后科学基金(No.2016M591884)。
关键词 昆山市 PM_(2.5) 水溶性无机离子 主成分分析(PCA) 源解析 Kunshan PM_(2.5) water⁃soluble inorganic ions principal component analysis(PCA) source analysis
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