山东省大气细颗粒物来源解析的研究现状与展望

对目前公开发表的39项山东省PM_2.5源解析研究进行了梳理与总结，综述了山东省各地级市PM_2.5源解析的研究现状和进展，概括了其时空分布特征，并对其影响因素进行了分析.结果表明，受体模型法是山东省PM_2.5源解析工作中使用最多的方法；二次源（（36.1±8.5）%）是山东省PM_2.5的首要贡献源，其次是尘源（（18.4±8.6）%），燃煤源（（18.2±7.0）%）和机动车源（（17.7±11.7）%）；不同年间济南市和青岛市PM_2.5源解析结果表明，近年来二次源和机动车源的相对贡献有所增加.对山东省PM_2.5源解析提出了几点展望：不同地区宜采用统一或有地区针对性的源解析技术；亟需综合源清单或空气质量模型等解析分摊二次源贡献，区分本地源与区域传输贡献，提供更为精细的源解析结果；加强长期及多地同步观测，以了解该地区PM_2.5及其来源的时空与历史变化趋势.

Research status and prospects on source apportionment of atmospheric fine particulate matter in Shandong Province

In this study, 39studies on PM_2.5 source apportionment conducted in various cities of Shandong Province were sorted out, the research status and progress were reviewed, the spatial and temporal distributions were summarized, and the key influencing factors were analyzed. The receptor model was the most used method in the PM_2.5 source apportionment studies in Shandong Province, the secondary source ((36.1±8.5)%) was the largest contributor of PM_2.5 in Shandong Province, followed by dust ((18.4±8.6)%), coal-burning ((18.2±7.0)%) and vehicular emission sources ((17.7±11.7)%). Multi-year results of PM_2.5 source apportionment in Jinan and Qingdao showed that the relative contributions of secondary sources and vehicular emission sources had increased in recent years. Finally, some prospects for future PM_2.5 source apportionment work in Shandong Province were raised, including that (1) unified or regionally targeted source apportionment techniques should be developed and adopted, (2) integrated source apportionment methods with emission inventory or air quality model should be adopted to further apportion the secondary source contributions, local source and regional transport contributions, and provide more refined source apportionment results, and (3) long-term and multi-site simultaneous observation should be performed to better understand the spatial and temporal distribution of PM_2.5 concentration and sources as well as their historical trend in this region.