California Air Resources Board, 1001 I Street, Sacramento, CA, 95814, United States.
Environ Pollut. 2018 Aug;239:1-12. doi: 10.1016/j.envpol.2018.03.094. Epub 2018 Apr 5.
On-road mobile sources play a significant role in air quality modeling and these models require gridded, hourly emission inputs. Due to its geographical and meteorological diversity and stringent air quality regulations, California state always poses big challenge for air quality modelers and policy makers. At the same time, the impact of ambient temperature on vehicle emissions has been well researched in the past few decades and it is vital to prepare a reliable on-road gridded emission inventory for air quality modeling. This technical paper introduces a gridding method that takes temperature impacts into account, calculates emissions from grid-level to county, and attempts to quantify the likely effects of such a bottom-up, temperature sensitive approach on a gridded on-road emission inventory. To provide confidence in the proposed SMOKE-EMFAC method, a detailed analysis was carried out to compare the results with the default EMFAC output, and the results were within ±1%. Applying detailed grid level temperatures, we also found that criteria pollutant distributions are sensitive to them, and they are in accordance with previous US-EPA study. The proposed method could be very useful while testing different complex emission regulations and policies due to its inherent flexibility.
道路移动源在空气质量模型中起着重要作用,这些模型需要网格化的每小时排放输入。由于加利福尼亚州的地理位置和气象条件多样,以及严格的空气质量法规,该州一直给空气质量建模人员和政策制定者带来很大挑战。同时,过去几十年中已经对环境温度对车辆排放的影响进行了充分研究,为空气质量模型编制可靠的道路网格化排放清单至关重要。本技术文件介绍了一种考虑温度影响的网格化方法,该方法可从网格级计算到县的排放量,并尝试量化这种自下而上、对温度敏感的方法对网格化道路排放清单的可能影响。为了对提出的 SMOKE-EMFAC 方法有信心,我们进行了详细分析,将结果与默认 EMFAC 输出进行了比较,结果在±1%范围内。应用详细的网格级温度,我们还发现,污染物分布对其敏感,并且与美国环保署以前的研究一致。由于其固有的灵活性,该方法在测试不同复杂的排放法规和政策时可能非常有用。