Pay María Teresa, Gangoiti Gotzon, Guevara Marc, Napelenok Sergey, Querol Xavier, Jorba Oriol, García-Pando Carlos Pérez
Earth Sciences Department, Barcelona Supercomputing Center, BSC, c/Jordi Girona, 29, 08034 Barcelona, Spain.
Department of Chemical and Environmental Engineering, University of the Basque Country UPV/EHU, ETSI-Bilbao School of Engineering, Alameda de Urquijo s/n, 48013 Bilbao, Spain.
Atmos Chem Phys. 2019 Apr 25;19(8):5467-5494. doi: 10.5194/acp-19-5467-2019.
It is well established that in Europe, high O concentrations are most pronounced in southern/Mediterranean countries due to the more favourable climatological conditions for its formation. However, the contribution of the different sources of precursors to O formation within each country relative to the imported (regional and hemispheric) O is poorly quantified. This lack of quantitative knowledge prevents local authorities from effectively designing plans that reduce the exceedances of the O target value set by the European air quality directive. O source attribution is a challenge because the concentration at each location and time results not only from local biogenic and anthropogenic precursors, but also from the transport of O and precursors from neighbouring regions, O regional and hemispheric transport and stratospheric O injections. The main goal of this study is to provide a first quantitative estimation of the contribution of the main anthropogenic activity sectors to peak O events in Spain relative to the contribution of imported (regional and hemispheric) O. We also assess the potential of our source apportionment method to improve O modelling. Our study applies and thoroughly evaluates a countrywide O source apportionment method implemented in the CALIOPE air quality forecast system for Spain at high resolution (4 × 4 km) over a 10-day period characterized by typical summer conditions in the Iberian Peninsula (IP). The method tags both O and its gas precursor emissions from source sectors within one simulation, and each tagged species is subject to the typical physico-chemical processes (advection, vertical mixing, deposition, emission and chemistry) as the actual conditions remain unperturbed. We quantify the individual contributions of the largest NO local sources to high O concentrations compared with the contribution of imported O. We show, for the first time, that imported O is the largest input to the ground-level O concentration in the IP, accounting for 46 %-68 % of the daily mean O concentration during exceedances of the European target value. The hourly imported O increases during typical northwestern advections (70 %-90 %, 60-80 μg m), and decreases during typical stagnant conditions (30 %-40 %, 30-60 μg m) due to the local NO titration. During stagnant conditions, the local anthropogenic precursors control the O peaks in areas downwind of the main urban and industrial regions (up to 40 % in hourly peaks). We also show that ground-level O concentrations are strongly affected by vertical mixing of O-rich layers present in the free troposphere, which result from local/regional layering and accumulation, and continental/hemispheric transport. Indeed, vertical mixing largely explains the presence of imported O at ground level in the IP. Our results demonstrate the need for detailed quantification of the local and remote contributions to high O concentrations for local O management, and show O source apportionment to be an essential analysis prior to the design of O mitigation plans in any non-attainment area. Achieving the European O objectives in southern Europe requires not only ad hoc local actions but also decided national and European-wide strategies.
众所周知,在欧洲,由于形成臭氧(O)的气候条件更为有利,高臭氧浓度在南部/地中海国家最为明显。然而,相对于进口(区域和半球)臭氧而言,每个国家内不同前体源对臭氧形成的贡献却缺乏定量分析。这种定量知识的匮乏使得地方当局无法有效地制定计划来减少超出欧洲空气质量指令设定的臭氧目标值的情况。臭氧源归因是一项挑战,因为每个地点和时间的浓度不仅源于当地的生物源和人为前体,还源于来自邻近区域的臭氧及其前体的传输、区域和半球的臭氧传输以及平流层臭氧注入。本研究的主要目标是首次定量估计西班牙主要人为活动部门对臭氧峰值事件的贡献相对于进口(区域和半球)臭氧的贡献。我们还评估了我们的源分配方法在改进臭氧建模方面的潜力。我们的研究应用并全面评估了在CALIOPE空气质量预报系统中为西班牙实施的全国范围的高分辨率(4×4公里)臭氧源分配方法,该方法在伊比利亚半岛(IP)典型夏季条件下的10天期间进行。该方法在一次模拟中标记臭氧及其来自源部门的气体前体排放,并且每个标记的物种都经历典型的物理化学过程(平流、垂直混合、沉积、排放和化学作用),因为实际条件保持不变。我们将最大的本地氮氧化物(NO)源对高臭氧浓度的个体贡献与进口臭氧的贡献进行了量化比较。我们首次表明,进口臭氧是伊比利亚半岛地面臭氧浓度的最大输入源,在超过欧洲目标值期间占日平均臭氧浓度的46%-68%。在典型的西北气流期间(70%-90%,60-80微克/立方米)每小时进口臭氧增加,而在典型的停滞条件下(30%-40%,30-60微克/立方米)由于本地NO滴定而减少。在停滞条件下,本地人为前体控制着主要城市和工业区下游地区的臭氧峰值(每小时峰值高达40%)。我们还表明,地面臭氧浓度受到自由对流层中存在的富含臭氧层的垂直混合的强烈影响,这是由本地/区域分层和积累以及大陆/半球传输导致的。实际上,垂直混合在很大程度上解释了伊比利亚半岛地面进口臭氧的存在。我们的结果表明,对于地方臭氧管理而言需要详细量化本地和远程对高臭氧浓度的贡献,并且表明在任何未达标地区设计臭氧减排计划之前,臭氧源分配是一项必不可少的分析。在南欧实现欧洲臭氧目标不仅需要临时的地方行动,还需要果断的国家和全欧洲范围的战略。