Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981–2018 in China

Shang-ji, Situ; Hao, Yufang; Xie, Shaodong; Li, Lingyu

doi:10.5194/acp-2021-675

Cited by 3 publications

(3 citation statements)

References 46 publications

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“…For a detailed breakdown of emissions attributable to varied land use covers, refer to Table S4. A review of the data reveals that monoethylene (TERP) and isoprene (ISOP) rank as the highest emitting species with proportions are 20.46% and 31.91% in this study, respectively, aligning with the findings of previous studies (Cao et al, 2022;Guenther et al, 2012b). Furthermore, Table 5 reveals that in September, the suburban region registered the highest UGS-BVOC emissions in Guangzhou, peaking at 367.31 Gg.…”

Section: Estimation Of Ugs-bvoc Emissions Under Different Land Use Coversupporting

confidence: 88%

Unheralded contributions of biogenic volatile organic compounds from urban greening to ozone pollution: a high-resolution modeling study

Wang,

Li,

Liu

et al. 2024

Preprint

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Abstract. Urban Green Spaces (UGS) are widely advocated for mitigating urban atmospheric environment. However, this study reveals that it can exacerbate urban ozone (O3) levels under certain conditions, as demonstrated by a September 2017 study in Guangzhou, China. Utilizing the Weather Research and Forecasting Model with the Model of Emissions of Gases and Aerosols from Nature (WRF-MEGAN) and the Community Multiscale Air Quality (CMAQ) model with a high horizontal resolution (1 km), we assessed the impact of UGS-related biogenic volatile organic compound (BVOC) emissions on urban O3. Our findings indicate that UGS-BVOC emissions in Guangzhou amounted to 666.49 Gg, primarily from isoprene (ISOP) and terpenes (TERP). These emissions contribute ~30 % of urban ISOP concentrations and their incorporations to the model significantly reduce the underestimation against observations. The study shows improvements in simulation biases for NO2, from 7.01 µg/m3 to 6.03 µg/m3, and for O3, from 7.77 µg/m3 to -1.60 µg/m3. UGS-BVOC and UGS-LUCC (land use cover changes) integration in air quality models notably enhances surface monthly mean O3 predictions by 3.6–8.0 µg/m3 (+3.8–8.5 %) and contributes up to 18.7 µg/m3 (+10.0 %) to MDA8 O3 during O3 pollution episodes. Additionally, UGS-BVOC emissions alone increase the monthly mean O3 levels by 2.2–3.0 µg/m3 (+2.3–3.2 %) in urban areas and contribute up to 6.3 µg/m3 (+3.3 %) to MDA8 O3 levels during O3 pollution episodes. These impacts can extend to surrounding suburban and rural areas through regional transport, highlighting the need for selecting low-emission vegetation and refining vegetation classification in urban planning.

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Section: Estimation Of Ugs-bvoc Emissions Under Different Land Use Coversupporting

confidence: 88%

Unheralded contributions of biogenic volatile organic compounds from urban greening to ozone pollution: a high-resolution modeling study

Wang,

Li,

Liu

et al. 2024

Preprint

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“…In contrast, the south regions of YRD demonstrate a universal pattern of NO x -limited. This could be attributed to the substantial biogenic VOCs emissions from the forest districts in Zhejiang province (Cao et al, 2021). Other YRD regions are mainly controlled by both NO x and VOCs.…”

Section: Driving Factors Of Interannual Changes In O 3 From 2014 To 2020mentioning

confidence: 99%

Increasing but Variable Trend of Surface Ozone in the Yangtze River Delta Region of China

Tang

Zhang

Feng

et al. 2022

Front. Environ. Sci.

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Surface ozone (O3) increased by ∼20% in the Yangtze River Delta (YRD) region of China during 2014–2020, but the aggravating trend is highly variable on interannual time and city-level space scales. Here, we employed multiple air quality observations and numerical simulation to describe the increasing but variable trend of O3 and to reveal the main driving factors behind it. In 2014–2017, the governmental air pollution control action plan was mostly against PM2.5 (mainly to control the emissions of SO2, NOx, and primary PM2.5) and effectively reduced the PM2.5 concentration by 18%–45%. However, O3 pollution worsened in the same period with an increasing rate of 4.9 μg m−3 yr−1, especially in the Anhui province, where the growth rate even reached 14.7 μg m−3 yr−1. After 2018, owing to the coordinated prevention and control of both PM2.5 and O3, volatile organic compound (VOC) emissions in the YRD region has also been controlled with a great concern, and the O3 aggravating trend in the same period has been obviously alleviated (1.1 μg m−3 yr−1). We further combined the precursor concentration and the corresponding O3 formation regime to explain the observed trend of O3 in 2014–2020. The leading O3 formation regime in 2014–2017 is diagnosed as VOC-limited (21%) or mix-limited (58%), with the help of a simulated indicator HCHO/NOy. Under such condition, the decreasing NO2 (2.8% yr−1) and increasing VOCs (3.6% yr−1) in 2014–2017 led to a rapid increment of O3. With the continuous reduction in NOx emission and further in ambient NOx/VOCs, the O3 production regime along the Yangtze River has been shifting from VOC-limited to mix-limited, and after 2018, the mix-limited regime has become the dominant O3 formation regime for 55% of the YRD cities. Consequently, the decreases of both NOx (3.3% yr−1) and VOCs (7.7% yr−1) in 2018–2020 obviously slowed down the aggravating trend of O3. Our study argues that with the implementation of coordinated regional reduction of NOx and VOCs, an effective O3 control is emerging in the YRD region.

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“…Areas of low altitude and vegetation with short root systems are more sensitive. Based on simulations from the Model of Emissions of Gases and Aerosols from Nature (MEGAN) (Guenther et al, 2006(Guenther et al, , 2012 and using MODIS LAI between 2003, Cao et al (2021 found that vegetation biomass variability in China is a major controlling factor of the interannual variation of BVOC emissions.…”

Section: Introductionmentioning

confidence: 99%

Interactions between the terrestrial biosphere and atmosphere during droughts and heatwaves: impact on surface ozone over Southwestern Europe

Guion

Turquety²,

Cholakian³

et al. 2022

Preprint

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Abstract. At high concentration, tropospheric O3 deteriorates air quality, inducing adverse effects on human and ecosystem health. Meteorological conditions are key to understand the variability of O3 concentration, especially during extreme weather events. They modify the photochemistry activity and the vegetation state. An important source of uncertainties and inaccuracy in simulating surface O3 during droughts and heatwaves is the lack of interactions between the biosphere and the troposphere. Based on the biogenic emission model MEGAN v2.1 and the chemistry-transport model CHIMERE v2020r1, the first objective of this study is to assess the sensitivity of biogenic emissions, O3 dry deposition and surface O3 to biomass decrease and soil dryness effect (using several configurations) during the extremely dry summer 2012. Secondly, this research aims at quantifying the variation of observed (EEA’s air quality database, 2000–2016) and simulated (CHIMERE, 2012–2014) surface O3 during summer heatwaves and agricultural droughts that have been identified using the Percentile Limit Anomalies (PLA) method. Our sensitivity analysis shows that soil dryness is a key factor during drought events, decreasing considerably the C5H8 emissions and O3 dry deposition velocity. This effect has a larger impact than the biomass decrease. However, the resulting effect on surface O3 remains limited. Based on a cluster approach using the PLA indicator, we show that observed O3 concentration is on average significantly higher during heatwaves (+18 μg/m3 in daily maximum) and droughts (+9 μg/m3) compared to normal conditions. Despite a difference of several μg/m3, CHIMERE correctly simulates the variations of O3 concentration between the clusters of extreme events. The overall increase of surface O3 during both heatwaves and droughts would be explained by O3 precursor emission enhancement (in agreement with HCHO satellite observations), O3 dry deposition decrease and favourable weather conditions. However, we simulated a decrease of C5H8 emissions (in agreement with HCHO observations) during droughts not accompanied by a heatwave, resulting in a non-significant difference of surface O3 compared to normal conditions (from both observations and simulations). Finally, we stress that considerable uncertainties characterize our simulated surface-troposphere interactions. Multi-year flux measurements would contribute to better assess the model performance. Nevertheless, we emphasize the need for a more dynamical representation of interactions between vegetation, hydrology, meteorology and atmospheric chemistry in models in order to improve the simulation of summer O3.

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Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981–2018 in China

Cited by 3 publications

References 46 publications

Unheralded contributions of biogenic volatile organic compounds from urban greening to ozone pollution: a high-resolution modeling study

Unheralded contributions of biogenic volatile organic compounds from urban greening to ozone pollution: a high-resolution modeling study

Increasing but Variable Trend of Surface Ozone in the Yangtze River Delta Region of China

Interactions between the terrestrial biosphere and atmosphere during droughts and heatwaves: impact on surface ozone over Southwestern Europe

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