Calculation of long-term averaged and episodic oxidant concentrations for the Netherlands

Ground-level ozone and oxidant (sum of O₃ and NO₂) concentrations in The Netherlands are calculated during the growing season (May–September) by means of a Lagrangian long-range transport model. Two air parcels—one representative of the mixed layer, the other representative of the polluted layer above the mixed layer (aged smog layer)—are followed along 96 h back trajectories. Long-term averaged and 98 percentile values of hourly averaged concentrations are estimated on the basis of concentrations calculated for four arrival times per day for all days in the period considered.In a number of sensitivity runs the influence of European anthropogenic NO_x and VOC emissions on the oxidant concentrations in The Netherlands has been investigated. In general, the influence of European emissions on the 98-percentile values is 2–3 times as large as on the averaged concentrations. This indicates that long-term averaged concentrations more strongly depend on the concentrations in the free troposphere whereas the episodic concentrations are determined by photochemical production over Europe. VOC emission reduction is more effective in lowering episodic concentrations than NO_x emission reduction. For long-term averaged concentrations, however, NO_x and VOC emission reduction of 50% or more are nearly equally effective.     

Evaluation of a number of chemical mechanisms for their application in models describing the formation of photochemical ozone in Europe

A series of 24 chemical mechanisms from the literature are compared against each other using harmonized emissions, photolysis rate coefficients for simple inorganic chemistry and life cycle data for ozone, PAN and H₂O₂. The evaluation sought to understand the impact of parameterizing hydrocarbon oxidation on the peak concentrations of photochemically-generated secondary pollutants. Only seven of the 24 chemical mechanisms gave peak concentrations of ozone, PAN and H₂O₂ simultaneously in their respective central ranges. PAN and H₂O₂ were generally calculated with a much lower precision compared to ozone. Only 11 mechanisms out of 24 gave responses to both 50% hydrocarbons and NO_x emissions controls in their respective central bands. The lack of coordinated ozone, PAN and hydrogen peroxide measurements across Europe currently limits the adequacy of model comparisons and hence the confidence which may be placed in assessments of likely impacts of future control strategies.     

Ozone in Central England: the impact of 20 years of precursor emission controls in Europe

Episodic peak ozone levels over the 1990–2007 period appear to have declined strongly whilst annual mean daily maximum levels have risen over the same period at monitoring sites within the midlands regions of the UK. Sensitivity studies carried out with a photochemical trajectory model have shown that European policies to control Volatile Organic Compound (VOC) and Nitrogen Oxides (NO_x) emissions are the likely cause of the decline in episodic peak levels. There appeared to have been little influence on the episodic peak from changes in intercontinental trans-Atlantic transport but an overwhelming influence on the annual mean daily maximum levels. Non-linear relationships between VOC and NO_x emission controls and ozone, together with the ambition level set by policy-makers, appear to explain why ozone levels in Central England still do not meet internationally accepted air quality guidelines despite two decades of policy actions within Europe.     

Calculation of long term averaged ground level ozone concentrations

Seasonal averaged ground level concentrations for O₃ have been calculated for The Netherlands by means of a two-layer Lagrangian long-range transport (LRT) model. The model includes emissions, nonlinear atmospheric chemistry, dry deposition, exchange between boundary layer (BL) and free troposphere (FT) and fumigation between a mixed layer and an aged smog layer. Concentrations of primary and secondary pollutants in the FT are obtained from a two-dimensional global model developed by Isaksen.In the reference calculation the modelled concentrations of Ox (sum of O₃ and NO₂) and O₃ are in fair agreement with measurements. The NO_x (sum of NO and NO₂) and NO₂ concentrations are under-estimated by the model but there is a good temporal correlation between calculated and measured concentrations. Validation of other components involved in the chemical scheme is hardly possible due to the paucity of measured data. It can only be stated that the results presented in this paper are not in disagreement with measured or modelled data presented in the literature.In a number of sensitivity runs the influence of European anthropogenic emissions of NO_x and volatile organic compounds (VOC) has been investigated. The calculations indicate that the influence of European emissions on the growing season, daytime averaged (May–September, 10–17 h) O₃ concentrations in The Netherlands is small. For European reductions in the order of tens of per cents a VOC emission reduction is more effective than a NO_x emission reduction in lowering the O₃ concentrations. For strong reductions (about 70%) VOC and NO_x are equally effective. The effects of the modelled underprediction of NO_x concentrations on the production of O₃ on a European scale are probably small. On a local scale the effects are more pronounced due to the NO/O₃ titration (photostationary equilibrium). Therefore, an empirical correction is applied on the modelled O₃ concentrations. After this correction, it is shown that daytime O₃ levels during the growing season increase when European NO_x emissions are reduced (2.0–7.7.% increase at 50% NO_x emission reduction). A reduction in VOC emission leads to decreasing O₃ levels (9% reduction for 40% VOC emission reduction, 16% reduction for 70% VOC emission reduction). For a combined reduction of both VOC and NO_x slightly decreasing ground level O₃ concentrations are expected.     

夏季长三角地区臭氧非线性响应曲面模型的建立及应用

2013年8月上旬,长三角地区发生了一次大范围高浓度臭氧污染事件.本研究基于WRF-CMAQ空气质量模型系统,结合长三角地区大气污染物排放清单,构建了臭氧与其前体物之间的非线性响应曲面模型(Response surface modeling,RSM).基于RSM探讨了长三角地区O_3化学的敏感性特征,分析了上海市O_3的来源并预测不同情景下O_3的变化,提出O_3污染的最优控制方案.研究结果表明,长三角地区夏季O3主控因素区域差别较大,上海环科院、杭州卧龙桥、南京玄武湖等城区点位属于VOC控制型;徐州铜山、合肥肥西、丽水青田等郊区属于NOx控制型.O_3的敏感性特征在不同浓度水平下也呈现较大差异,随着O_3浓度水平的升高,各地区NOx敏感性均有所增加.从区域来源来看,远距离传输对平日上海O_3贡献较大,占50%以上;而在O_3污染日,本地及区域贡献为72.1%,而远距离传输贡献下降至27.9%.快速预测了110组减排情景,表明在本地及区域前体物均减排70%的情况下,2013年8月上海O_3浓度能完全达标.     

深圳市2022年春季新冠疫情管控期间空气质量分析

短期减排是我国城市应对大气污染事件的重要应急管控手段,但短期减排的效益尚未得到完善分析.2022年3月14～20日,广东省深圳市为抑制新冠疫情传播实施了全市管控,为评估短期减排对华南城市春季空气质量的影响提供独特机会.结合深圳市高精度环境空气质量监测与气象观测等多源数据,分析了深圳市管控期间前后的空气质量变化.此次管控前和管控期中均有部分日期天气形势静稳,局地污染水平主要反映本地排放,有利于分析本地减排的影响.观测与WRF-GC区域化学模拟都表明,与珠三角周边城市相比,深圳市管控期间由于市内交通源排放显著减少,深圳市二氧化氮(NO₂)浓度降低(-26±9.5)%,可吸入颗粒物(PM₁₀)浓度降低(-28±6.4)%,细颗粒物(PM_2.5)浓度降低(-20±8.2)%,但臭氧(O₃)浓度无显著变化[(-1.0±6.5)%].TROPOMI卫星观测的甲醛和二氧化氮柱浓度数据对比表明,2022年春季珠三角臭氧光化学主要受挥发性有机物(VOCs)浓度控制,对氮氧化物浓度降低不敏感,反而可能因氮氧化物对臭氧滴...     

重载柴油机采用非SCR和DPF实现国Ⅳ排放研究

在1台电控高压共轨重载柴油机上采用柴油/甲醇二元燃料(DMDF)燃烧方式,后处理采用氧化催化转化器(DOC)紧耦合微粒氧化催化器(POC),对其排放特性开展了试验研究.结果表明:DMDF模式可以同时减少NOx和炭烟排放,且随着甲醇掺烧比例的增加降低效果更加显著;在80%负荷时当甲醇掺烧比例为50%时,NOx和炭烟排放分别减少了25.3%和69.3%;DOC+POC对HC、CO和甲醛排放的催化效率均超过了98%,优于原机水平;经ETC、ESC和ELR检测,柴油机采用DMDF模式结合后处理器DOC+POC可满足国Ⅳ排放要求.     

臭氧污染动态源贡献分析方法及应用初探

论文创新提出了基于RSM/CMAQ臭氧污染动态源贡献分析方法,并以佛山市顺德区2014年10月为例,分析了不同区域的人为可控源NO_x和VOCs减排情景下(10%、70%和100%)对本地O_3浓度变化的量化贡献.研究结果表明顺德区O_3的人为可控比例约43%,且受区域排放影响非常明显,主导上风向广州排放源总贡献(14%)超过顺德本地贡献(7%).VOCs的减排可有效削减顺德区O_3浓度,当减排力度较小时(12%),若仅控制区域NO_x排放将导致顺德区O_3浓度上升,随着减排力度的加大,区域NO_x的削减贡献会反超VOCs.RSM/CMAQ动态源贡献分析方法可为空气质量管理提供科学决策依据.     

The influence of long term trends in pollutant emissions on deposition of sulphur and nitrogen and exceedance of critical loads in the United Kingdom

In the United Kingdom, as with other European countries, land-based emissions of NO_x and SO₂ have fallen significantly over the last few decades. SO₂ emissions fell from a peak of 3185 Gg S in 1970 to 344 Gg S in 2005 and are forecast by business-as-usual emissions scenarios to fall to 172 Gg by 2020. NO_x emissions were at a maximum of 951 Gg N in 1970 and fell to 378 by 2005 with a further decrease to 243 Gg N forecast by 2020. These large changes in emissions have not been matched by emissions changes for NH₃ which decreased from 315 Gg N in 1990 to 259 in 2005 and are forecast to fall to 222 by 2020. The Fine Resolution Atmospheric Multi-pollutant Exchange model (FRAME) has been applied to model the spatial distribution of sulphur and nitrogen deposition over the United Kingdom during a 15-year time period (1990–2005) and compared with measured deposition of sulphate, nitrate and ammonium from the national monitoring network. Wet deposition of nitrogen and sulphur was found to decrease more slowly than the emissions reductions rate. This is attributed to a number of factors including increases in emissions from international shipping and changing rates of atmospheric oxidation. The modelled time series was extended to a 50-year period from 1970 to 2020. The modelled deposition of SO_x, NO_y and NH_x to the UK was found to fall by 87%, 52% and 25% during this period. The percentage area of sensitive habitats in the United Kingdom for which critical loads are exceeded is estimated to fall from 85% in 1970 to 37% in 2020 for acidic deposition and from 73% to 49% for nutrient nitrogen deposition. The significant reduction in land emissions of SO₂ and NO_x focuses further attention in controlling emissions from international shipping. Future policies to control emissions of ammonia from agriculture will be required to effect further significant reductions in nitrogen deposition.     

VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China

Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds (VOCs), VOC emission control has become a major concern in China. In response, emission caps to control VOC have been stipulated in recent policies, but few of them were constrained by the co-control target of PM_2.5 and ozone, and discussed the factor that influence the emission cap formulation. Herein, we proposed a framework for quantification of VOC emission caps constrained by targets for PM_2.5 and ozone via a new response surface modeling (RSM) technique, achieving 50% computational cost savings of the quantification. In the Pearl River Delta (PRD) region, the VOC emission caps constrained by air quality targets varied greatly with the NO_x emission reduction level. If control measures in the surrounding areas of the PRD region were not considered, there could be two feasible strategies for VOC emission caps to meet air quality targets (160 µg/m³ for the maximum 8-hr-average 90th-percentile (MDA8-90%) ozone and 25 µg/m³ for the annual average of PM_2.5): a moderate VOC emission cap with <20% NOx emission reductions or a notable VOC emission cap with >60% NO_x emission reductions. If the ozone concentration target were reduced to 155 µg/m³, deep NO_x emission reductions is the only feasible ozone control measure in PRD. Optimization of seasonal VOC emission caps based on the Monte Carlo simulation could allow us to gain higher ozone benefits or greater VOC emission reductions. If VOC emissions were further reduced in autumn, MDA8-90% ozone could be lowered by 0.3-1.5 µg/m³, equaling the ozone benefits of 10% VOC emission reduction measures. The method for VOC emission cap quantification and optimization proposed in this study could provide scientific guidance for coordinated control of regional PM_2.5 and O₃ pollution in China.     

The effect of aircraft emissions on tropospheric ozone in the northern hemisphere

The effect of aircraft emissions on tropospheric ozone was studied using a two-dimensional zonal model, of longitude vs altitude, extending between 30°–60°N. An emission inventory for the 1987 civil aircraft fleet was constructed based on fuel usage and civil aviation statistics. The addition of the 1987 civil emissions to a modelled standard atmosphere caused increases in concentrations of O₃ (12%; 10 ppbv), NO_x (40%; 20 pptv) and OH (10%) between 8 and 12 km altitude. A doubling and tripling of the emissions corresponding to a present day inclusion of military aircraft and a future scenario, respectively, caused the increase in O₃ to double (19%) and almost triple (25%). The lightning source of NO_x was found to be an important parameter. When this source was ommitted the change in O₃ at the cruise flight altitude increased to 16%, with respect to a standard atmosphere not containing a lightning source of NO_x.     

天然气-汽油双燃料车实际道路排放特性研究

为研究使用天然气对轻型汽车排放的影响,利用便携式排放测试系统（PEMS）,对25辆压缩天然气-汽油双燃料出租车在实际道路上分别使用汽油和天然气时的CO2、CO、NOx和THC排放进行了对比测试.研究结果表明：实际道路上,原装车使用天然气相比汽油时,CO2、CO的排放平均分别降低22%和24%,NOx和THC的排放平均分...     

基于前体物多情景排放的兰州市2030年夏季臭氧预测

近年来,兰州市夏季臭氧污染问题日渐凸显,已成为影响当地环境空气质量达标的首要污染因子和制约环境空气质量持续改善的突出短板.解决臭氧污染问题需结合城市经济发展的实际情况定量评估前体物减排量并提出切实可行的减排对策,为环境管理的中长期规划提供科学依据.在2015年本地排放清单的基础上,通过情景分析法预测了兰州市2030年3种梯度城市发展与污染控制情景下臭氧的两类主要前体物氮氧化物（NO_x）和挥发性有机物（VOCs）的排放量,利用WRF-Chem模型对不同情景下的2030年夏季臭氧污染程度进行了数值模拟,分析了臭氧浓度与生成敏感性的时空变化情况,并提出了兰州市臭氧前体物的总量控制参考和针对不同行政区的减排对策建议.结果表明,3种不同的城市发展与污染控制情景下兰州市2030年NO_x排放量为4.57×10⁴～12.14×10⁴ t, VOCs排放量为5.30×10⁴～7.69×10⁴ t, NO_x排放可通过调整能源结构,加强末端治理和限制机动车...     

High NO2/NOx emissions downstream of the catalytic diesel particulate filter: An influencing factor study

Diesel vehicles are responsible for most of the traffic-related nitrogen oxide (NO_x) emissions, including nitric oxide (NO) and nitrogen dioxide (NO₂). The use of after-treatment devices increases the risk of high NO₂/NO_x emissions from diesel engines. In order to investigate the factors influencing NO₂/NO_x emissions, an emission experiment was carried out on a high pressure common-rail, turbocharged diesel engine with a catalytic diesel particulate filter (CDPF). NO₂ was measured by a non-dispersive ultraviolet analyzer with raw exhaust sampling. The experimental results show that the NO₂/NO_x ratios downstream of the CDPF range around 20%–83%, which are significantly higher than those upstream of the CDPF. The exhaust temperature is a decisive factor influencing the NO₂/NO_x emissions. The maximum NO₂/NO_x emission appears at the exhaust temperature of 350°C. The space velocity, engine-out PM/NO_x ratio (mass based) and CO conversion ratio are secondary factors. At a constant exhaust temperature, the NO₂/NO_x emissions decreased with increasing space velocity and engine-out PM/NO_x ratio. When the CO conversion ratios range from 80% to 90%, the NO₂/NO_x emissions remain at a high level.     

Modelling the role of nitrogen oxides,hydrocarbons and carbon monoxide in the global formation of tropospheric oxidants

A new zonally averaged two-dimensional chemical and transport model of the lower atmosphere has been used to study the budgets of photochemical oxidants on a global scale in the troposphere. The sensitivities of these budgets to controls on the emissions of NO_x, CO and hydrocarbons from a variety of sources have also been considered. The species studied include O₃, PAN, H₂O₂ and organic peroxides, as well as the global budget of the hydroxyl radical. The results show the relative impacts of emissions from natural and from man-made sources. Overall, some 75% of the turnover of tropospheric ozone results from in situ chemical production, with only 25% having its origins in the stratosphere. The respective fractions for chemical loss and dry deposition are similar. Of the ozone formed in situ, approximately one-third is formed from natural emissions, and two-thirds from man-made emissions. Over half of this man-made contribution is due to industrial society, with much of the rest being caused by biomass burning and methane emitted from paddy fields. Although reducing emissions of NO_x is the most effective way of controlling tropospheric O₃, this also increases the inventories of peroxides and the rate of increase in the concentration of methane, due to a reduction in the inventory of the OH radical. It is, therefore, necessary to control the emissions of a wide range of species in order to reduce the budget of all photochemical oxidants without adversely perturbing the budget of CH₄.     

烟雾箱与数值模拟研究苯和乙苯的臭氧生成潜势

结合光化学烟雾箱实验与数值模拟研究了苯和乙苯在NO x存在条件下的光氧化臭氧生成潜势.重复实验表明,在乙苯-NO x反应体系中,反应物初始浓度、温度、湿度和光照强度接近的条件下,整个反应过程中臭氧的最大偏差仅为4%,证明了烟雾箱的可重复性较高.在烟雾箱实验的基础上,使用MCM(master chemical mechanism)模拟了苯和乙苯的光氧化O3生成,并将其结果与实验数据进行了比对分析.干燥(≤5%)时MCM对苯和乙苯的模拟结果与实验结果较接近,如在苯-NO x反应体系中,MCM模拟的O3峰值比实验值偏大20%;在湿度为5%~70%时,MCM模拟的乙苯光氧化O3峰值与实验值偏高约(10%~25%).用MCM模拟了太阳光照条件下苯和乙苯的臭氧生成等值线,得到在它们浓度为(10~50)×10-9,NO x在(10~100)×10-9时,苯和乙苯的6 h臭氧贡献值分别为(3.1~33)×10-9和(2.6~122)×10-9,臭氧峰值范围分别是(3.5~54)×10-9和(3.8~164)×10-9.此外,模拟得到苯和乙苯的最大增量反应活性(maximum incremental reactivity,MIR)值分别为0.25/C和0.97/C(每单位碳).该结果与Carter通过SAPRC机制得到的MIR值趋势一致.模拟得到苯和乙苯的最大臭氧反应活性(maximum ozone reactivity,MOR)分别为0.73/C和1.03/C.苯的MOR值远高于Carter使用SAPRC得到的结果,说明根据Carter得到的苯MOR会低估苯的O3潜势.     

基于Brute-Force方法的京津冀区域夏季臭氧反应机制

近年来京津冀区域夏季臭氧（O₃）体积分数仍居高位,轻中度污染频繁发生,相关反应机制研究亟需开展.利用WRF-Chem模式对该区域2018年夏季代表月O₃浓度进行模拟,并基于Brute-Force方法探究了区域层面前体物减排的O₃变化.O₃在不同排放情景的变化表明,该区域O₃反应机制以VOCs控制区与非敏感区为主,VOCs控制区主要聚集京津冀中部,呈南北带状分布,面积占比15.60%~26.59%.区域各市城区的O₃浓度对前体物排放的相对响应强度（RRI）具有很大的空间差异性,对于VOCs,RRI_VOC在0.03~0.16范围内;而对于NO_x,RRI_NO_x在-0.40~0.03范围内.纬度越高的城区,RRI值越剧烈,表明了越为显著的区域输送影响.前体物排放强度高的城区,RRI_NO_x值越低,暗示RRI_NO_x对当地NO₂浓度的负向依赖;但RRI_VOC与NO₂水平无明显关联,更依赖于对前体物相对丰度（VOCs ：NO_x）.RRI_VOC与RRI_NO_x比值在多数城市表现为负值,VOCs协同减排以抑制O₃浓度恶化十分必要;该比值的绝对值在工业化和城市化高的城市远低于普通中小城市,意味着这些城市VOCs协同减排的要求将更高.然而,即使在前体物50%减排下,区域各城市O₃浓度改善仍然有限,毗邻省份的区域外联合治理也依然重要.     

The stem-II regional scale acid deposition and photochemical oxidant model—IV. The impact of emission reductions on mesoscale acid deposition in the lower ohio river valley

Assessment of the effect of reduction in emissions of primary sources on eventual levels of pollutants, pH of precipitation and total wet deposition is crucial in designing acid-rain control strategies. The STEM-II/ASM model is used to investigate the effect of reduction in emissions on the ultimate deposition patterns and amounts of major acidic pollutants in a mesoscale region. This work also investigates the effect of background levels of primary pollutant species on the eventual levels and deposition amounts of SO₄⁼ and NO₃⁻. A series of mesoscale simulations were conducted in which emissions of primary sources of NO_x and SO₂ were reduced and/or background concentrations of certain key species were changed. The results indicate that the dominant effect on the eventual deposition amounts of SO₄⁼ and NO₃⁻ is due to background concentrations of key precursor species such as SO_x and NO_x. With relatively high background concentrations, reducing SO₂ emissions by 50% and NO_x emissions by 40% resulted in reductions of 2–3% for SO₄⁼ wet deposition aand about 15% for NO₃⁻ wet deposition. However, reducing the background concentrations of SO₂ and SO₄⁼ by 50% and NO, NO₂ and HNO₃ by 40% resulted in substantial reductions in wet deposition; SO₄⁼ deposition was reduced by 40–50% and NO₃⁻ deposition was reduced by approximately 35%.     

Toluene decomposition performance and NOx by-product formation during a DBD-catalyst process

Characteristics of toluene decomposition and formation of nitrogen oxide (NOx) by-products were investigated in a dielectric barrier discharge (DBD) reactor with/without catalyst at room temperature and atmospheric pressure. Four kinds of metal oxides, i.e., manganese oxide (MnOx), iron oxide (FeOx), cobalt oxide (CoOx) and copper oxide (CuO), supported on Al₂O₃/nickel foam, were used as catalysts. It was found that introducing catalysts could improve toluene removal efficiency, promote decomposition of by-product ozone and enhance CO₂ selectivity. In addition, NOx was suppressed with the decrease of specific energy density (SED) and the increase of humidity, gas flow rate and toluene concentration, or catalyst introduction. Among the four kinds of catalysts, the CuO catalyst showed the best performance in NOx suppression. The MnOx catalyst exhibited the lowest concentration of O₃ and highest CO₂ selectivity but the highest concentration of NOx. A possible pathway for NOx production in DBD was discussed. The contributions of oxygen active species and hydroxyl radicals are dominant in NOx suppression.     

Influence of power plant emissions and industrial emissions on the leeward ozone levels

In this paper a multibox model is applied to investigate how power plant emissions and industrial emissions affect the O₃ levels in a leeward urban area and a farther downwind rural area. Apart from a detailed consideration of one specific situation, the effect of advection is described and the influence of emission reductions on ozone formation is analyzed. The results prove that the characteristics of upstream emissions is of great significance for the O₃ levels. In particular, a reduction of hydrocarbon emissions was proved to be beneficial in all considered cases, while a reduction of primarily NO_x emissions may lead to an enhanced O₃ formation.