• 关键词：加油站  挥发性有机物（VOC）  WRF-CAMx  排放源  SMOKE模型  西安

• 基金项目：国家重点研发计划（No.2020YFA0607804，2017YFC0209805）；陕西省自然科学基础研究计划（No.2021JQ-975）；北京高精尖学科 “陆地表层学”资助项目

• 吕梦菲
• 北京师范大学，全球变化与地球系统科学研究院，北京 100875

• 吴其重
• 北京师范大学，全球变化与地球系统科学研究院，北京 100875

• 杨晓春
• 陕西省西安市气象局，西安 710016

• 程华琼
• 北京师范大学，全球变化与地球系统科学研究院，北京 100875

• 肖晗
• 首都师范大学附属中学，北京 100048

• 孙一鸣
• 北京师范大学，全球变化与地球系统科学研究院，北京 100875

• 李冬青
• 北京师范大学，全球变化与地球系统科学研究院，北京 100875

• 徐旗
• 民航气象中心，北京 100020

• 摘要：目前，挥发性有机物（VOC）对臭氧等大气污染的贡献持续受到关注，各地陆续出台包括限制加油站排放在内的VOC管控举措.西安市作为汾渭平原特大城市，机动车保有量大、加油需求量大，加油站排放的VOC污染不容忽视.为更科学地了解加油站VOC排放对臭氧、二次有机气溶胶的影响，为加油站管控和治理方案提供科学依据，本文在调研的基础上结合稀疏矩阵排放模型SMOKE构建了网格化的西安市加油站VOC排放源，并采用空气质量模式WRF-CAMx敏感性数值模拟试验研究了加油站VOC排放对夏季臭氧、二次有机气溶胶浓度的影响.结果表明：①考虑加油站VOC排放后，敏感性控制试验所模拟的2018年7月臭氧（O₃）、二次有机气溶胶（SOA）浓度略高于无加油站VOC排放的基准情景试验模拟结果；②与基准情景试验类似，考虑加油站VOC排放控制试验模拟的2018年7月O₃浓度日变化呈单峰型分布特征；二次有机气溶胶（SOA）浓度的日变化特征为上午浓度较高且出现浓度峰值，而下午浓度水平整体降低，在晚上浓度又逐渐攀升；③敏感性数值试验结果表明，仅考虑西安市加油站排放VOC对空气质量产生的影响较小，加油站排放VOC对不同小时臭氧浓度影响具有差异，对西安最大影响臭氧浓度约为0.20 μg·m^-3.

• Abstract：At present， the contribution of volatile organic compounds （VOC） to O₃ and other atmospheric pollutants has been getting attention. Control measures， including limiting emissions from gas stations， have been successively introduced by local governments to control VOC. Xi'an， a megacity over Fen-wei Plain， has a large number of motor vehicles and a huge demand for gas， and therefore the VOC pollution from gas stations can not be ignored. Scientifically understanding the impact of VOC emissions from gas stations on O₃ and secondary organic aerosol （SOA） is necessary to provide a scientific basis for gas stations control and governance. For this reason， we use survey data and the sparse matrix emission model （SMOKE） to construct a gridded VOC emission inventory from gas stations in Xi'an and then use the sensitivity tests of WRF-CAMx model to investigate the impacts of gas stations emission on O₃ and SOA concentrations in July 2018. The research results are as follows： ①By considering the VOC emissions from gas stations， the simulated concentrations of O₃ and SOA in the control test are slightly higher than the results of the baseline test without the VOC emissions from gas stations； ②Similar to the baseline test， the daily change of O₃ simulated by the control test shows a unimodal distribution； the diurnal change of SOA is characterized with a high concentration， even a peak in the morning while its overall concentration level is low in the afternoon and gradually increases in the evening.③The results indicate that the VOC emissions from gas stations in Xi'an has little influence on air quality. The influence of VOC emissions from gas stations on ozone concentration differs at different hours. The maximum influence on ozone concentration in Xi'an is about 0.20 μg·m^-3.

• Key words：gas stations  volatile organic compounds（VOC）  WRF-CAMx  emission sources  SMOKE model  Xi'an

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