U.S. Environmental Protection Agency , Office of Air Quality Planning and Standards, Durham, North Carolina 27711, United States.
EC/R Incorporated , Chapel Hill, North Carolina 27514, United States.
Environ Sci Technol. 2016 Nov 15;50(22):12356-12364. doi: 10.1021/acs.est.6b04752. Epub 2016 Nov 4.
A hybrid air quality model has been developed and applied to estimate annual concentrations of 40 hazardous air pollutants (HAPs) across the continental United States (CONUS) to support the 2011 calendar year National Air Toxics Assessment (NATA). By combining a chemical transport model (CTM) with a Gaussian dispersion model, both reactive and nonreactive HAPs are accommodated across local to regional spatial scales, through a multiplicative technique designed to improve mass conservation relative to previous additive methods. The broad scope of multiple pollutants capturing regional to local spatial scale patterns across a vast spatial domain is precedent setting within the air toxics community. The hybrid design exhibits improved performance relative to the stand alone CTM and dispersion model. However, model performance varies widely across pollutant categories and quantifiably definitive performance assessments are hampered by a limited observation base and challenged by the multiple physical and chemical attributes of HAPs. Formaldehyde and acetaldehyde are the dominant HAP concentration and cancer risk drivers, characterized by strong regional signals associated with naturally emitted carbonyl precursors enhanced in urban transport corridors with strong mobile source sector emissions. The multiple pollutant emission characteristics of combustion dominated source sectors creates largely similar concentration patterns across the majority of HAPs. However, reactive carbonyls exhibit significantly less spatial variability relative to nonreactive HAPs across the CONUS.
已开发出一种混合空气质量模型,并将其应用于估算整个美国大陆(CONUS) 40 种危险空气污染物(HAPs)的年浓度,以支持 2011 年日历年度国家空气毒物评估(NATA)。通过将化学输送模型(CTM)与高斯扩散模型相结合,通过旨在相对于先前的添加方法提高质量守恒的乘法技术,可以在局部到区域空间尺度上容纳反应性和非反应性 HAPs。在空气毒物界,这种能够捕获大范围空间域中多种污染物的区域性到局部性空间模式的混合设计是前所未有的。混合设计相对于独立的 CTM 和扩散模型具有更好的性能。但是,由于观测基础有限以及 HAPs 的多种物理和化学特性带来的挑战,各种污染物的类别和可量化的明确性能评估会受到很大的限制。甲醛和乙醛是 HAP 浓度和癌症风险的主要驱动因素,其特征是与自然排放的羰基前体有关的强烈区域信号,这些前体在具有强烈移动源排放的城市交通走廊中得到增强。以燃烧为主的污染源的多种污染物排放特征在大多数 HAPs 中产生了大致相似的浓度模式。但是,相对于 CONUS 中的非反应性 HAPs,反应性羰基的空间变异性要小得多。