Identify the key emission sources for mitigating ozone pollution: A case study of urban area in the Yangtze River Delta region, China

Zhang, Xin; Ma, Qiang; Chu, Wanghui; Miao, Ning; Liu, Xiaoqiu; Xiao, Fei; Cai, Ningning; Wu, Zhijun; Yan, Gang

doi:10.1016/j.scitotenv.2023.164703

Cited by 14 publications

(4 citation statements)

References 33 publications

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“…Compared with the proportion of each source in concentration analysis, the proportion of fossil fuel combustion, industrial emissions and gasoline evaporation increased, indicating that the VOCs emitted from the above three sources had higher reactivity. Comprehensive analysis emphasizes the critical need for prioritizing control strategies that target VOC emissions from gasoline vehicles and diesel engines (trucks, off-road machinery and inland vessels) for effective O 3 pollution mitigation, which is similar to the findings of other studies [27,50,51]. Additionally, controlling the VOC sources from solvent use and gasoline evaporation, which are characterized by minimal NO X contributions, can provide additional environmental benefits beyond O 3 mitigation.…”

Section: Source Analysis Of Vocssupporting

confidence: 52%

“…The contributions of biogenic emissions and diesel engine exhaust to VOCs ranked in the second and third positions (18.1% and 16.5%), followed by industrial emissions (14.7%). The relatively high vegetation coverage in the demonstration area contributed to the higher biogenic VOC contribution compared to the Suzhou average [27]. Solvent use, gasoline evaporation and fossil fuel combustion exhibited similar contributions, ranging from 9.7% to 10.2%.…”

Section: Source Analysis Of Vocsmentioning

confidence: 87%

“…This study adopted an observation-based chemical box model (OBM) to quantify the in situ O 3 formation rate and sensitivity to its precursors; the OBM model equipped the Master Chemical Mechanism (MCM, v3.3.1, https://mcm.york.ac.uk/MCM/ accessed on 15 September 2023) offered a comprehensive description of atmospheric chemical processes from emission to decomposition for 143 VOCs species, involving 17,000 inorganic and organic reactions for approximately 6700 species. There were great simulated results in modeling the formation and consumption of O 3 and other secondary gaseous pollutants using the OBM model [26][27][28][29]. Hourly observational data for temperature, humidity, pressure and O 3 , NO X , CO, and VOCs were used as inputs to the OBM to estimate the in situ O 3 formation rate and consumption rate.…”

Section: Observation-based Modelmentioning

confidence: 99%

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Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China

Wu,

Gu,

Shi

et al. 2024

Atmosphere

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Emerging research indicates that ground-level ozone (O3) has become a leading contributor to air quality concerns in many Chinese cities, with the Yangtze River Delta (YRD) region facing particular challenges. This study investigated the characterization of air pollutants in Wujiang, which is located within the YRD demonstration zone, during the warm season (April–September) of 2022. The contributions of emission and meteorology to O3 were identified, the O3-NOX-VOC sensitivities were discussed, and the VOC sources and their contributions to O3 formation were analyzed. A random forest model revealed that the high O3 concentration was mainly caused by a combination of increased emission intensity due to the resumption of work and production after the COVID-19 pandemic, along with adverse meteorological conditions. The results revealed more than 92% of the pollution days were related to O3 during the warm season, and the impact of O3 precursor emissions was slightly greater than that of the meteorological conditions. O3 formation was in the VOC-limited regime, and emission reduction strategies targeting VOCs, particularly aromatics such as toluene and xylene, have been identified as the most effective approach for mitigating O3 pollution. Changes in O3-NOX-VOC sensitivity were also observed from the VOC-limited regime to the transitional regime, which was primarily driven by variations in the NOX concentrations. The VOC source analysis results showed that the contributions of gasoline vehicle exhaust and diesel engine exhaust (mobile source emissions) were significantly greater than those of the other sources, accounting for 20.8% and 16.5% of the total VOC emissions, respectively. This study highlights the crucial role of mobile source emission control in mitigating O3 pollution. Furthermore, prioritizing the control of VOC emission sources with minimal NOX contributions is highly recommended within the VOC-limited regime.

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Section: Source Analysis Of Vocssupporting

confidence: 52%

Section: Source Analysis Of Vocsmentioning

confidence: 87%

Section: Observation-based Modelmentioning

confidence: 99%

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Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China

Wu,

Gu,

Shi

et al. 2024

Atmosphere

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“…For VOC, the response of O 3 to VOC in the YRD increased from 0.1 µg m −3 in 2011 to 1.5 µg m −3 in 2020. This may be related to the isotropic feedback of O 3 pollution on VOC in the YRD [66][67][68]. VOC emissions in the YRD increased from 2011 to 2020 and were relatively higher than that in 2010 (shown in Figure S10), and the response value of O 3 pollution to VOC was positive and increased from 2011 to 2020.…”

Section: Pm 25 and O 3 Collaborative Pollution Response To Each Precu...mentioning

confidence: 94%

Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning

Liu,

Ma,

Liu

et al. 2024

Sustainability

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The coordinated control of PM2.5 and O3 pollution has become a critical factor restricting the improvement of air quality in China. In this work, precursors and related influencing factors were utilized to establish PM2.5 and O3 estimation models in the North China Plain (NCP), the Yangzi River Delta (YRD), and the Pearl River Delta (PRD) using a multi-task-learning (MTL) model. The prediction accuracy of these three MTL models was high, with R2 values ranging from 0.69 to 0.83. Subsequently, these MTL models were used to quantitatively reveal the relative importance of each factor to PM2.5 and O3 collaborative pollution simultaneously. Precursors and meteorological factors were the two most critical influencing factors for PM2.5 and O3 pollution in three regions, with their relative importance values larger than 29.99% and 15.89%, respectively. Furthermore, these models were used to reveal the response of PM2.5 and O3 to each precursor in each region. In the NCP and the YRD, the two most important precursors of PM2.5 pollution are SO2 and HCHO, while the two most critical factors for O3 pollution are HCHO and NO2. Therefore, SO2 and VOC emissions reduction is the most important measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in these two regions. In terms of the PRD, SO2 and NO2 are the most important precursors of PM2.5 pollution, while the most important precursors for O3 pollution are HCHO and SOX, respectively. Thus, NO2, SO2, and VOC emission reduction is the most critical measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in the PRD. Overall, this study provides clues and references for the control of PM2.5 and O3 collaborative pollution in the NCP, the YRD, and the PRD.

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Synergistic effect of combating air pollutants and carbon emissions in the Yangtze River Delta of China: spatial and temporal divergence analysis and key influencing factors

Liu,

Li,

Bilal

et al. 2024

Environ Sci Pollut Res

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Identify the key emission sources for mitigating ozone pollution: A case study of urban area in the Yangtze River Delta region, China

Cited by 14 publications

References 33 publications

Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China

Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China

Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning

Synergistic effect of combating air pollutants and carbon emissions in the Yangtze River Delta of China: spatial and temporal divergence analysis and key influencing factors

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