指纹谱图技术解析典型工业区域大气细颗粒物中持久性有机污染物的特定来源

大气细颗粒物可吸附富集多种持久性有机污染物（POPs），通过对大气细颗粒物中POPs的污染特征与不同工业源POPs排放的指纹谱图进行解析比对，可识别大气细颗粒物中POPs的特定来源，对大气细颗粒物及POPs的源头控制具有重要意义。本研究拟在我国北方地区（如河北或山东）选择典型的工业区域，通过对大气细颗粒物的采集和分析来阐明不同粒径颗粒物相中二恶英、多氯联苯、多氯萘和氯代多环芳烃等POPs的分布规律和同类物污染特征。对典型区域不同工业源二恶英、多氯联苯、多氯萘和氯代多环芳烃的排放进行监测，明晰不同工业源二恶英、多氯联苯、多氯萘和氯代多环芳烃排放的指纹谱图。利用工业源排放的指纹谱图，结合正矩阵因子分解（PMF）或主成分分析（PCA）模型解析阐明大气细颗粒物中POPs的特定污染来源，并量化不同工业源排放对大气细颗粒物POPs污染的贡献比例。该项目可为深入认识大气细颗粒物中POPs的特定来源和大气污染控制提供参考依据。

The pollution of fine particles in air have attracted increasing public attentions. The persistent organic pollutants (POPs) in air is prone to absorbed in fine particles. Identifying the specific sources of POPs in fine particles would be significant for the air pollution control. In this project, typical industrial area in the north of China (such as Heibei or Shandong provinces) would be selected for collecting the fine particles in air and analyzing the specific POPs including polychlorinated dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs), polychlorinated biphenyls (PCBs), polychlorinated naphthalenes (PCNs), chlorinated polycyclic aromatic hydrocarbons (Cl-PAHs). The distribution and contamination pattern of typical POPs in fine particles in air would be clarified. The fingerprints of typical POPs emitted from industrial thermal sources in the investigated area would be demonstrated. Finally, the specific sources of POPs in fine particles in air would be identified by the Positive Matrix Factorization (PMF) or Principal Component Analysis (PCA) model combined with the fingerprints of POPs emitted from industrial thermal sources. The contributions of source emissions to POPs pollutions in air fine particles would be quantified by the PMF model. The results obtained in this project would be significant for better understanding the specific sources of POPs and developing strategy for controlling the source emissions.