摘要
正向源模型法和反向受体模型法是进行城市PM_(2.5)源解析的2种方法,两者各有所长。该研究应用三维空气质量模型Weather Research and Forecasting Model with Chemistry(WRF-Chem)模型和受体模型Positive Matrix Factorization(PMF),以2014年10月为研究时段,分别对邯郸市的细微颗粒物(PM_(2.5))进行源解析。PMF模型的解析结果表明,邯郸市PM_(2.5)来源为二次源30.2%,燃煤源25.4%、金属冶炼源15.1%、机动车源14.4%、扬尘源9.8%,生物质燃烧源5.2%。应用WRF-Chem模型,Brute-Force方法解析出的结果为,在本地源贡献中,工业源贡献了49.0%,民用源11.9%、农业源9.6%、交通源3.8%和电厂源-1.5%(负值由于PM_(2.5)前体物之间的非线性反应所致)。应用源模型对二次成分(SO_4^(2-)、NO_3^-和NH_4^+)进行再解析,结果显示,燃煤源源贡献率最大,达到25.7%,其次分别为农业源(24.0%)、工业源(6.5%)、生物质源(1.8%)和机动车(0.03%)。结合2种方法得出,邯郸市的PM_(2.5)中,本地燃煤源贡献了37.1%,其次分别为金属冶炼源(18.4%)、机动车源(15.1%)、扬尘源(13.3%)、生物质燃烧源(6.2%)。
Either source-oriented model method or receptor model method can be applied to source apportionment of PM（2.5）,each has its own merit. In this paper, the WRF-Chem（Weather Research and Forecasting Model with Chemistry） and PMF（Positive Matrix Factorization） model were used to source apportionment of PM（2.5） in Handan City in October, 2014, respectively. The analytical results of PMF model showed that the source contribution of the secondary source were 30.2 %, followed by 25.4% of coal combustion, 15.1% of metal-smelting source, motor vehicle exhaust（14.4%）, dust source（9.8%）, and biomass burning（5.2%）. The analytical results of WRF-Chem with Brute-Force method showed that industrial emission con-tributed 49.0% of PM（2.5）, followed by domestic emission（11.9%）, agricultural emission（9.6%）, transportation（3.8%）, and power plant（-1.5%）（nonlinear relationship among the primary pollutants resulted in negative value）. In addition, using the appor-tionment of the secondary components（SO4^（2-）, NO3^- and NH4^＋ to re-analyze the source contribution of PM（2.5）, the results suggested that coal combustion was the largest contributor with proportion of 25.7%, followed by agricultural emission（24.0%）,industrial emission（6.5%）, biomass burning source（1.8%）, and motor vehicle exhaust（0.03%）. Finally, using the WRF-Chem combined with PMF model resulted in the local coal combustion contributed 37.1% of PM（2.5）, followed by metal-smelting source（18.4%）, motor vehicle exhaust（15.1%）, dust source（13.3%）, and biomass burning（6.2%）.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2017年第11期67-74,共8页
Environmental Science & Technology
基金
国家自然科学基金(41475131)
河北省杰出青年科学基金(D2017402086)
河北省青年拔尖人才支持计划
河北省人才工程培养经费(A2016002022)
河北工程大学创新团队领军人才培育基金项目
