Characteristics and sources of ambient Volatile Organic Compounds (VOCs) at a regional background site, YRD region, China: Significant influence of solvent evaporation during hot months

Xu, Zhifei; Zou, Qiaoli; Jin, Lingling; Shen, Yemin; Shen, Jiasi; Xu, Bingye; Qu, Fangqi; Zhang, Fei; Xu, Jiawei; Pei, Xiangyu; Xie, Gang; Kuang, Binyu; Huang, Xin; Tian, Xudong; Wang, Zhibin

doi:10.1016/j.scitotenv.2022.159674

Cited by 16 publications

(5 citation statements)

References 79 publications

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“…These sources tend to be higher in summer, resulting in the high levels of VOC pollution. In contrast, in winter, the aforementioned sources are reduced, while vehicular exhaust becomes the primary contributor [50]. Additionally, the tropical climate and evergreen forest in South China result in the continuous emissions of biogenic VOCs (BVOCs) throughout the year, leading to the reduced seasonality of HCHO in South China in this region [23].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Li,

Yu,

Tao

et al. 2024

Remote Sensing

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O3 poses a significant threat to human health and the ecological environment. In recent years, O3 pollution has become increasingly serious, making it difficult to accurately control O3 precursor emissions. Satellite indicator methods, such as the FNR (formaldehyde-to-nitrogen dioxide ratio (HCHO/NO2 ratio)), provide an effective way to identify ozone pollution control areas on a large geographical scale due to their simple acquisition of datasets. This can help determine the primary factors contributing to O3 pollution and assist in managing it. Based on TROPOMI data from May 2018 to December 2022, combined with ground-based monitoring data from the China National Environmental Monitoring Centre, we explored the uncertainty associated with using the HCHO/NO2 ratio (FNR) as an indicator in ozone control area determination. We focused on the four representative regions in China: Jing-Jin-Ji-Lu-Yu (JJJLY), Jiang-Zhe-Hu-Wan (JZHW), Chuan-Yu (CY), and South China. By using the statistical curve-fitting method, we found that the FNR thresholds were 3.5–5.1, 2.0–4.0, 2.5–4.2, and 1.7–3.5, respectively. Meanwhile, we analyzed the spatial and temporal characteristics of the HCHO, NO2, and O3 control areas. The HCHO concentrations and NO2 concentrations had obvious cyclical patterns, with higher HCHO column densities occurring in summer and higher NO2 concentrations in winter. These high values always appeared in areas with dense population activities and well-developed economies. The distribution characteristics of the ozone control areas indicated that during O3 pollution periods, the urban areas with industrial activities and high population densities were primarily controlled by VOCs, and the suburban areas gradually shifted from VOC-limited regimes to transitional regimes and eventually reverted back to VOC-limited regimes. In contrast, the rural and other remote areas with relatively less development were mainly controlled by NOx. The FNR also exhibited periodic variations, with higher values mostly appearing in summer and lower values appearing in winter. This study identifies the main factors contributing to O3 pollution in different regions of China and can serve as a valuable reference for O3 pollution control.

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Section: Discussionmentioning

confidence: 99%

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Li,

Yu,

Tao

et al. 2024

Remote Sensing

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“…The lowest concentration of VOCs was detected in DZ (15.9 ppbv), which were comparable to the background station CD (15.3 ppbv), similar to the national station-Yucheng (16.1 ppbv) in DZ in summer 2013 [19], and lower than Beijing (40.2 ppbv) [20] and Nanjing (35.0 ppbv) [21]. JN (33.6 ppbv) and HZ (21.6 ppbv) are urban cities, and the VOCs concentrations were comparable to the coastal city QD (32.8 ppbv) and DY (19.2 ppbv), lower than Shanghai (42.7 ppbv) [22] and Xinxiang (33.6-41.2 ppbv) [23], and comparable to Zhejiang (25.4 ppbv) [24]. The VOCs concentrations showed no significant differences between the urban and coastal cities in Shandong Province, but varied between the industrial sites and background sites.…”

Section: General Characteristics Of Vocsmentioning

confidence: 90%

Characteristics, Ozone Formation Potential and Sources of VOCs in Shandong Province, Eastern China

Cao¹,

Tan

Shi³

et al. 2023

Atmosphere

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Between 9 July and 19 August 2016, the air concentrations of 57 volatile organic compounds (VOCs) were measured in Shandong Province, eastern China. Seven sampling sites representing urban, coastal and background sites were selected for sampling. The measured data were employed to investigate the VOCs’ characteristics, ozone formation potential, and main sources. During the sampling period, the concentrations of the VOCs ranged between 15.3 and 883 ppbv, with a mean of 139 ppbv. The most severely polluted city was Zibo (833 ppbv), followed by Jinan (33.5 ppbv) and Qingdao (32.8 ppbv). Propane was the most abundant species in all of the sampling sites, with a concentration range of 1.05–9.86 ppbv. Ethene, i-butane, 1-butene, cis-2-butene, n-butane, i-pentane, n-pentane, benzene and toluene were the predominant species in both the urban and coastal sites. Propylene equivalent concentrations (Pro-Equiv) and maximum incremental reactivity (MIR) were employed to assess the reactivity and contribution of each species to the photochemical ozone formation. The results showed that alkenes and aromatics were the most active species performing a key function in the ozone formation, accounting for 43.9–90.7% of the Pro-Equiv and 41.0–93% of the ozone formation potential (OFP). The ratios of ethylbenzene and m/p-xylene were calculated, and the results showed that local emissions were the main sources. Gasoline exhaust/fuel evaporation, industry process/solvent usage, diesel exhaust/petrochemical emission and coal burning were the dominant sources of VOCs in Shandong Province.

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“…The concentration of VOCs is affected by background concentration, weather conditions (Mo et al, 2015), emission sources, terrain conditions (Liu et al, 2016), and extent of pollutant transport (Shao et al, 2009). In addition, under meteorological conditions with higher temperature, VOCs exhibit photochemical losses during dispersion and regional transport (Zou et al, 2023;Liu et al, 2023a;Liu et al, 2020). As a result, the ambient VOC concentration of course varies with the locality and season.…”

Section: Introductionmentioning

confidence: 99%

“…Biogenic emission is mainly affected by temperature and radiation conditions (Li et al, 2020). Biogenic emissions are therefore higher during hotter months, especially in summer (Pacifico et al, 2009;Xu et al, 2023). Urban areas are greatly affected by anthropogenic sources (Zhang et al, 2023;Goldstein and Galbally, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Characteristics and sources of VOCs and the O₃-NO_x-VOCs relationships in the central plain city, China

Zhang,

Li,

Yuan

et al. 2024

Preprint

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Abstract. Volatile organic compounds (VOCs) are important precursors of ozone (O3) generation. Understanding the characteristics, and emission sources of VOCs, and the relationship between VOCs and O3 during O3 pollution are of great significance for O3 pollution control. This study investigated the characteristics, sources, and effects of VOCs on O3 formation in Zhengzhou, Henan Province from 1st to 30th June 2023, and provided recommendations for O3 emission reduction strategies. Two O3 pollution events occurred during the observation period. During the observation period, the concentration of Total VOCs (TVOCs) varied from 9.9 to 60.3 ppbv, with an average of 22.8 ± 8.3 ppbv. The average concentration of TVOCs in the two pollution events were higher than that on the clean days. Six major VOCs sources were identified by using the Positive Matrix Factorization model. Vehicular exhaust (28 %), solvent usage (27 %), and industrial production (22 %) were the main sources. An observation-based mode was applied to explore the O3-precursors relationship and observation-oriented O3 control strategies. The results of relative incremental reactivity (RIR) and empirical kinetics modeling approach showed that the O3 formation in Zhengzhou in June was in anthropogenic VOCs (AVOCs)-limited regimes. VOCs with the largest RIR values, while NOx had a negative RIR value. It was worth noting that the sensitivity of O3 generation to biogenic VOCs (BVOCs) was greater than that of AVOCs. From the perspective of the reduction effect, the reduction ratios of AVOCs/NOx should be no less than 3:1, which was conducive to the reduction of O3 formation.

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Characteristics and sources of ambient Volatile Organic Compounds (VOCs) at a regional background site, YRD region, China: Significant influence of solvent evaporation during hot months

Cited by 16 publications

References 79 publications

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Characteristics, Ozone Formation Potential and Sources of VOCs in Shandong Province, Eastern China

Characteristics and sources of VOCs and the O₃-NO_x-VOCs relationships in the central plain city, China

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Characteristics and sources of ambient Volatile Organic Compounds (VOCs) at a regional background site, YRD region, China: Significant influence of solvent evaporation during hot months

Cited by 16 publications

References 79 publications

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data

Characteristics, Ozone Formation Potential and Sources of VOCs in Shandong Province, Eastern China

Characteristics and sources of VOCs and the O3-NOx-VOCs relationships in the central plain city, China

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Characteristics and sources of VOCs and the O₃-NO_x-VOCs relationships in the central plain city, China