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The Variability of Ozone Sensitivity to Anthropogenic Emissions with Biogenic Emissions Modeled by MEGAN and BEIS3

机译：由MEGAN和BEIS模拟的臭氧对人为排放和生物排放的敏感性变化

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In this study, we examined how modeled ozone concentrations respond to changes in anthropogenic emissions when different modeled emissions of biogenic volatile organic compounds (BVOCs) are used. With biogenic emissions estimated by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and the Biogenic Emissions Inventory System Version 3 (BEIS3), the Community Multi-scale Air Quality with the High-order Direct Decouple Method (CMAQ-HDDM) simulations were conducted to acquire sensitivity coefficients. For the case study, we chose 17–26 August 2007, when the Southern Korean peninsula experienced region-wide ozone standard exceedances. The results show that modeled local sensitivities of ozone to anthropogenic emissions in certain NO x -saturated places can differ significantly depending on the method used to estimate BVOC emission, with an opposite trend of ozone changes alongside NO x reductions often shown in model runs using MEGAN and BEIS3. Findings of increased ozone concentrations with one model and decreased ozone concentrations with the other model implies that estimating BVOCs emissions is an important element in predicting variability in ozone concentration and determining the responses of ozone concentrations to emission changes, a discovery that may lead to different policy decisions related to air quality improvement. Quantitatively, areas in the 3-km modeling domain that experienced daily maximum one-hour ozone concentrations greater than 120 ppb (MDA1O3) showed differences of over 20 ppb in MDA1O3 values between model runs with MEGAN and BEIS3. For selected monitoring sites, the maximum difference in relative daily maximum eight-hour ozone concentrations (MDA8O3) response between the methods to model BVOCs was 4.2 ppb in MDA8O3 when we adopted a method similar to the Relative Reduction Factor used by the US Environmental Protection Agency (EPA).
机译：在这项研究中，我们研究了当使用不同的生物挥发性有机化合物（BVOC）排放模型时，臭氧浓度对人为排放变化的响应。根据自然界的气体和气溶胶排放模型（MEGAN）和生物排放清单系统版本3（BEIS3）估算的生物排放，采用高阶直接解耦法（CMAQ-HDDM）的社区多尺度空气质量进行仿真以获取灵敏度系数。对于案例研究，我们选择了2007年8月17日至26日，当时朝鲜半岛经历了整个区域的臭氧标准超标。结果表明，根据估算BVOC排放的方法，在某些NO x饱和的地方，模拟的臭氧对人为排放的局部敏感性可能存在显着差异，臭氧变化的趋势与在使用MEGAN的模型运行中经常显示的NOx减少趋势相反和BEIS3。一个模型发现的臭氧浓度升高而另一种模型的臭氧浓度降低表明，估计BVOCs排放是预测臭氧浓度变化并确定臭氧浓度对排放变化的响应的重要因素，这一发现可能导致采取不同的政策有关改善空气质量的决定。从数量上看，在3公里建模域中，每天最大一小时臭氧浓度大于120 ppb（MDA1O3）的区域显示，使用MEGAN和BEIS3进行的模型运行之间MDA1O3值的差异超过20 ppb。对于选定的监测点，当我们采用类似于美国环境保护署使用的相对减少因子的方法时，在MDA8O3中，用于模拟BVOC的方法之间相对每日最大八小时臭氧浓度（MDA8O3）响应之间的最大差异为4.2 ppb （EPA）。

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