由挥发性有机化合物总消耗量与氮氧化物浓度之比决定的日间臭氧产量

Xudong Zheng, Qinwen Tan, Jie Ren, Bin Luo, Danlin Song, Miao Feng, Hefan Liu, Yue Qin*, Yufang Hao, Liming Zeng, Xin Li, Sihua Lu, Huabin Dong and Shaodong Xie*, 
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引用次数: 0

摘要

为了减少基于观测到的挥发性有机化合物(VOCs)和二氧化氮浓度分析臭氧(O3)敏感性的不确定性,本研究提出应用实际大气中消耗的VOC浓度建立两者的非线性关系。这些参数是基于2019年夏季成都平原德阳、成都和眉山地区VOCs、二氧化氮和O3浓度的反应速率和在线观测数据计算得出的。眉山夜间异戊二烯消耗量最大,为2.03 ppbv。德阳白天的乙醛消耗量最大,为2.68 ppbv,可能是由于其较高的一次排放和二次生产以及OH自由基和光解的消耗。当总消耗VOC浓度与观测到的或初始NOx (NOx = NO + NO2)浓度之比为3.51 ppbv ppbv - 1或2.22 ppbv ppbv - 1时,白天的O3变化分别达到最大值8.45 ppbv或7.52 ppbv。比值划分了vocs敏感区和nox敏感区。成都和眉山的逐时数据分别超过98%属于vocs敏感区,德阳的逐时数据超过14%属于nox敏感区。这为评估实时O3灵敏度提供了更准确的方法,从而实现动态分层控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Daytime Ozone Production Determined by Ratios of Total Volatile Organic Compound Consumption to Nitrogen Oxide Concentrations

Daytime Ozone Production Determined by Ratios of Total Volatile Organic Compound Consumption to Nitrogen Oxide Concentrations

To reduce the uncertainty in analyzing ozone (O3) sensitivities based on observed concentrations of volatile organic compounds (VOCs) and nitrogen dioxide, this study proposed the application of consumed VOC concentrations to establish their nonlinear relationship in the actual atmosphere. These parameters were calculated based on the reaction rates and online observations of VOCs, nitrogen dioxide, and O3 concentrations at Deyang, Chengdu, and Meishan in the Chengdu Plain, China, during summer 2019. The nighttime isoprene consumption was maximum at 2.03 ppbv at Meishan. The daytime acetaldehyde consumption was a maximum at 2.68 ppbv at Deyang, possibly due to its higher primary emissions and secondary production and its consumption by both OH radicals and photolysis. When the ratios of the total consumed VOC concentrations to the observed or initial NOx (NOx = NO + NO2) concentrations were 3.51 ppbv ppbv–1 or 2.22 ppbv ppbv–1, daytime O3 variations reached a maximum of 8.45 ppbv or 7.52 ppbv, respectively. The ratios delineated the VOC-sensitive and NOx-sensitive areas. Over 98% of hourly data were in VOC-sensitive areas at both Chengdu and Meishan, respectively, while over 14% of hourly data belonged to NOx-sensitive areas at Deyang. This provided a more accurate method for assessing real-time O3 sensitivity and thus implementing dynamic hierarchical control strategies.

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