Sarwar Golam, Hogrefe Christian, Henderson Barron H, Mathur Rohit, Gilliam Robert, Callaghan Anna B, Lee James, Carpenter Lucy J
Center for Environmental Measurement & Modeling, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Center for Environmental Measurement & Modeling, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Sci Total Environ. 2024 Mar 20;917:170406. doi: 10.1016/j.scitotenv.2024.170406. Epub 2024 Jan 26.
We use the Community Multiscale Air Quality (CMAQv5.4) model to examine the potential impact of particulate nitrate (pNO) photolysis on air quality over the Northern Hemisphere. We estimate the photolysis frequency of pNO by scaling the photolysis frequency of nitric acid (HNO) with an enhancement factor that varies between 10 and 100 depending on pNO and sea-salt aerosol concentrations and then perform CMAQ simulations without and with pNO photolysis to quantify the range of impacts on tropospheric composition. The photolysis of pNO produces gaseous nitrous acid (HONO) and nitrogen dioxide (NO) over seawater thereby increasing atmospheric HONO and NO mixing ratios. HONO subsequently undergoes photolysis, producing hydroxyl radicals (OH). The increase in NO and OH alters atmospheric chemistry and enhances the atmospheric ozone (O) mixing ratio over seawater, which is subsequently transported to downwind continental regions. Seasonal mean model O vertical column densities without pNO photolysis are lower than the Ozone Monitoring Instrument (OMI) retrievals, while the column densities with the pNO photolysis agree better with the OMI retrievals of tropospheric O burden. We compare model O mixing ratios with available surface observed data from the U.S., Japan, the Tropospheric Ozone Assessment Report - Phase II, and OpenAQ; and find that the model without pNO photolysis underestimates the observed data in winter and spring seasons and the model with pNO photolysis improves the comparison in both seasons, largely rectifying the pronounced underestimation in spring. Compared to measurements from the western U.S., model O mixing ratios with pNO photolysis agree better with observed data in all months due to the persistent underestimation of O without pNO photolysis. Compared to the ozonesonde measurements, model O mixing ratios with pNO photolysis also agree better with observed data than the model O without pNO photolysis.
我们使用社区多尺度空气质量(CMAQv5.4)模型来研究颗粒态硝酸盐(pNO)光解对北半球空气质量的潜在影响。我们通过用一个增强因子对硝酸(HNO)的光解频率进行缩放来估算pNO的光解频率,该增强因子根据pNO和海盐气溶胶浓度在10到100之间变化,然后进行有无pNO光解的CMAQ模拟,以量化对对流层成分的影响范围。pNO的光解在海面上产生气态亚硝酸(HONO)和二氧化氮(NO),从而增加大气中HONO和NO的混合比。HONO随后发生光解,产生羟基自由基(OH)。NO和OH的增加改变了大气化学,并提高了海面上大气臭氧(O)的混合比,随后被输送到下风方向的大陆地区。没有pNO光解的季节性平均模型O垂直柱密度低于臭氧监测仪器(OMI)的反演结果,而有pNO光解的柱密度与对流层O负荷的OMI反演结果更吻合。我们将模型O混合比与来自美国、日本、对流层臭氧评估报告第二阶段和OpenAQ的可用地面观测数据进行比较;发现没有pNO光解的模型在冬季和春季低估了观测数据,而有pNO光解的模型在两个季节都改善了比较结果,在很大程度上纠正了春季明显的低估。与美国西部的测量结果相比,由于没有pNO光解时对O的持续低估,有pNO光解的模型O混合比在所有月份都与观测数据更吻合。与臭氧探空仪测量结果相比,有pNO光解的模型O混合比也比没有pNO光解的模型O与观测数据更吻合。