Im Ulas, Christensen Jesper Heile, Geels Camilla, Hansen Kaj Mantzius, Brandt Jørgen, Solazzo Efisio, Alyuz Ummugulsum, Balzarini Alessandra, Baro Rocio, Bellasio Roberto, Bianconi Roberto, Bieser Johannes, Colette Augustin, Curci Gabriele, Farrow Aidan, Flemming Johannes, Fraser Andrea, Jimenez-Guerrero Pedro, Kitwiroon Nutthida, Liu Peng, Nopmongcol Uarporn, Palacios-Peña Laura, Pirovano Guido, Pozzoli Luca, Prank Marje, Rose Rebecca, Sokhi Ranjeet, Tuccella Paolo, Unal Alper, Vivanco Marta G, Yarwood Greg, Hogrefe Christian, Galmarini Stefano
Aarhus University, Department of Environmental Science, Frederiksborgvej 399, Roskilde, Denmark.
European Commission, Joint Research Centre (JRC), Ispra, Italy.
Atmos Chem Phys. 2018;18(12):8929-8952. doi: 10.5194/acp-18-8929-2018.
In the framework of the third phase of the Air Quality Model Evaluation International Initiative (AQMEII3), and as contribution to the second phase of the Hemispheric Transport of Air Pollution (HTAP2) activities for Europe and North America, the impacts of a 20 % decrease of global and regional anthropogenic emissions on surface air pollutant levels in 2010 are simulated by an international community of regional-scale air quality modeling groups, using different state-of-the-art chemistry and transport models (CTMs). The emission perturbations at the global level, as well as over the HTAP2-defined regions of Europe, North America and East Asia, are first simulated by the global Composition Integrated Forecasting System (C-IFS) model from European Centre for Medium-Range Weather Forecasts (ECMWF), which provides boundary conditions to the various regional CTMs participating in AQMEII3. On top of the perturbed boundary conditions, the regional CTMs used the same set of perturbed emissions within the regional domain for the different perturbation scenarios that introduce a 20 % reduction of anthropogenic emissions globally as well as over the HTAP2-defined regions of Europe, North America and East Asia. Results show that the largest impacts over both domains are simulated in response to the global emission perturbation, mainly due to the impact of domestic emission reductions. The responses of NO, SO and PM concentrations to a 20 % anthropogenic emission reduction are almost linear (~ 20 % decrease) within the global perturbation scenario with, however, large differences in the geographical distribution of the effect. NO, CO and SO levels are strongly affected over the emission hot spots. O levels generally decrease in all scenarios by up to ~ 1 % over Europe, with increases over the hot spot regions, in particular in the Benelux region, by an increase up to ~ 6 % due to the reduced effect of NO titration. O daily maximum of 8 h running average decreases in all scenarios over Europe, by up to ~ 1 %. Over the North American domain, the central-to-eastern part and the western coast of the US experience the largest response to emission perturbations. Similar but slightly smaller responses are found when domestic emissions are reduced. The impact of intercontinental transport is relatively small over both domains, however, still noticeable particularly close to the boundaries. The impact is noticeable up to a few percent, for the western parts of the North American domain in response to the emission reductions over East Asia. O daily maximum of 8 h running average decreases in all scenarios over north Europe by up to ~ 5 %. Much larger reductions are calculated over North America compared to Europe. In addition, values of the Response to Extra-Regional Emission Reductions (RERER) metric have been calculated in order to quantify the differences in the strengths of nonlocal source contributions to different species among the different models. We found large RERER values for O (~ 0.8) over both Europe and North America, indicating a large contribution from non-local sources, while for other pollutants including particles, low RERER values reflect a predominant control by local sources. A distinct seasonal variation in the local vs. non-local contributions has been found for both O and PM, particularly reflecting the springtime long-range transport to both continents.
在空气质量模型评估国际倡议(AQMEII3)第三阶段的框架内,作为对欧洲和北美的空气污染半球传输(HTAP2)活动第二阶段的贡献,一个由区域尺度空气质量建模小组组成的国际团体使用不同的先进化学和传输模型(CTM),模拟了2010年全球和区域人为排放量减少20%对地表空气污染物水平的影响。全球层面以及HTAP2定义的欧洲、北美和东亚地区的排放扰动,首先由欧洲中期天气预报中心(ECMWF)的全球成分综合预报系统(C-IFS)模型进行模拟,该模型为参与AQMEII3的各种区域CTM提供边界条件。在扰动的边界条件之上,区域CTM在区域范围内针对不同的扰动情景使用相同的一组扰动排放量,这些情景导致全球以及HTAP2定义的欧洲、北美和东亚地区的人为排放量减少20%。结果表明,两个区域对全球排放扰动的响应模拟出的影响最大,主要是由于国内减排的影响。在全球扰动情景下,NO、SO和PM浓度对人为排放量减少20%的响应几乎呈线性(约减少20%),然而,影响的地理分布存在很大差异。排放热点地区的NO、CO和SO水平受到强烈影响。在所有情景下,欧洲的O水平总体下降高达约1%,热点地区则有所上升,特别是在比荷卢经济联盟地区,由于NO滴定效应的降低,上升高达约6%。欧洲所有情景下O的8小时日最大运行平均值下降高达约1%。在北美区域,美国中西部和西海岸对排放扰动的响应最大。当国内排放量减少时,也发现了类似但稍小的响应。跨洲际传输的影响在两个区域相对较小,但在边界附近仍然明显。对于北美区域西部,由于东亚的减排,影响可达百分之几。北欧所有情景下O的8小时日最大运行平均值下降高达约5%。与欧洲相比,北美计算出的减排量要大得多。此外,还计算了区域外排放减少响应(RERER)指标的值,以量化不同模型中不同物种非本地源贡献强度的差异。我们发现欧洲和北美O的RERER值都很大(约0.8),表明非本地源的贡献很大,而对于包括颗粒物在内的其他污染物,低RERER值反映了本地源的主要控制作用。对于O和PM,本地与非本地贡献都存在明显的季节变化,尤其反映了春季向两大洲的长距离传输。