Land cover  change  dominates  decadal  trends  of  biogenic  volatile organic  compound (BVOC) emission in China

Wang, Hui; Wu, Qizhong; Yang, Xiaochun; Wang, Lanning; Tang, Xiao; Li, Jie; Feng, Jinming; Xu, Qi; Cheng, Huaqiong

doi:10.5194/acp-2020-28

Cited by 4 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These regions were heavily polluted by PM 2.5 and the notable decrease of NO 2 was mainly attributed to the national Clean Air Action since 2013 (Zheng et al, 2018), which aimed to reduce PM 2.5 concentrations by cutting NO x emissions. Conversely, HCHO concentrations during this period increased remarkably across China, due to the combined effects of anthropogenic and biogenetic emissions (Shen et al, 2019b;Wang et al, 2020). The distinct temporal variations of NO 2 and HCHO led to the increase of HCHO/NO 2 , and the increase of transitional areas and NO x -limited regime areas.…”

Section: Discussionmentioning

confidence: 98%

“…The increase of HCHO/NO 2 was attributed to the reversed variation trends of HCHO and NO 2 . The rising HCHO resulted from the increase of anthropogenic emissions and biogenic volatile organic compound (BVOC) (Shen et al, 2019b;Wang et al, 2020), while the implementation of Clean Air Action imposed notable influences on the decrease of NO 2 (Chen et al, 2019a).…”

Section: Variations Of Ozone Formation Regimes In Urban and Rural Areasmentioning

confidence: 99%

See 1 more Smart Citation

Identifying the spatiotemporal variations of ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

Li¹,

Xu²,

Li³

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. Ozone formation regimes are closely related to the ratio of VOCs to NOx. Different ranges of HCHO/NO2 indicate three formation regimes, including VOCs-limited, transitional and NOx-limited regimes. Due to the unstable interactions between a diversity of precursors, the range of transitional regime, which plays a key role in identifying ozone formation regimes, remains unclear. To overcome the uncertainties from single models and the lack of reference data, we employed two models, polynomial simulation and Convergent Cross Mapping (CCM), to identify the ranges of HCHO/NO2 across China based on ground observations and remote sensing datasets. The ranges of transitional regime estimated by polynomial simulation and CCM were [1.0, 1.9] and [1.0, 1.8]. Since 2013, ozone formation regime has changed to the transitional and NOx-limited regime all over China, indicating ozone concentrations across China were mainly controlled by NOx. However, despite the NO2 concentrations, HCHO concentrations continuously exert a positive influence on ozone concentrations under transitional and NOx-limited regimes. Under the circumstance of national NOx-reduction policies, the increase of VOCs became the major driver for the soaring ozone pollution across China. For an effective management of ozone pollution across China, the emission-reduction of VOCs and NOx should be equally considered.

show abstract

Section: Discussionmentioning

confidence: 98%

Section: Variations Of Ozone Formation Regimes In Urban and Rural Areasmentioning

confidence: 99%

Identifying the spatiotemporal variations of ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

Li¹,

Xu²,

Li³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The vegetation types in this region are primarily featured by subtropical evergreen broadleaf trees and subtropical evergreen coniferous trees, which have very high BVOC emission potentials (Li et al., 2013a). The national biogenic emission inventory has shown that the BVOC emissions in the PRD are much higher than those in the NCP and YRD regions (Li et al., 2012; Wang et al., 2020; Wu et al., 2020). Despite large biogenic VOC emissions around the PRD, the impacts of biogenic emissions on ground‐level O 3 pollution in PRD, with dense vegetation cover, have not been well quantified (Ou et al., 2016; Tan et al., 2018; Yang et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Role of Heat Wave‐Induced Biogenic VOC Enhancements in Persistent Ozone Episodes Formation in Pearl River Delta

Wang

Liu

et al. 2021

JGR Atmospheres

View full text Add to dashboard Cite

Regional ozone (O3) pollution is influenced by a combination of anthropogenic sources and biogenic volatile organic compounds (BVOC) emitted from vegetation. Under the influence of warming climate and projected expansion of urban green space, O3 pollution may get worse, especially during heat waves (HWs). However, HW‐induced changes in BVOC and subsequent effects on regional O3 pollution have not been adequately assessed. In this study, we used the Weather Research and Forecasting‐Community Multi‐scale Air Quality models to investigate the formation of a typical O3 episode and quantify the O3 response to BVOC in the Pearl River Delta during a HW in 2017. The results showed that the rate of increase of O3 during the HW was 27.1 µg m−3 °C−1, reflecting the rapid O3 formation under high temperature. Compared with the non‐HW (NHW), gas‐phase chemistry and vertical transport were dominant contributors to O3 formation. Sensitivity experiments indicate that the contribution of BVOC to ground‐level O3 formation in Pearl River Delta was up to 42.1 μg m−3 because BVOC emissions in HW were 430 mol d−1 higher than the NHW. Under northerly winds and strong sea‐land breezes, BVOC and oxidation products from rural areas were transported to downwind VOC‐limited regimes and result in severe O3 pollution owing to intense photochemical reactions and accumulated O3 precursors. These findings point to the essential role of BVOC enhancements induced by HWs to O3 formation and suggest the consideration of BVOC emission potential of planted trees in urban greening strategies for avoiding the offset effects from BVOC.

show abstract

“…Data availability. The model output of MEGANv3.2 is archived at https://doi.org/10.57760/sciencedb.iap.00008 (Wang et al, 2024). The LAI data from Yuan et al (2011) are downloaded from http://globalchange.bnu.edu.cn/research/laiv6 (last access: 21 November 2022).…”

mentioning

confidence: 99%

Regional to global distributions, trends, and drivers of biogenic volatile organic compound emission from 2001 to 2020

Wang,

Liu,

et al. 2024

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. Biogenic volatile organic compounds (BVOCs) are important precursors to ozone and secondary organic aerosols in the atmosphere, affecting air quality, clouds, and climate. However, the trend in BVOC emissions and driving factors for the emission changes in different geographic regions over the past 2 decades has remained unclear. Here, regional to global changes in BVOC emissions during 2001–2020 are simulated using the latest Model of Emission of Gases and Aerosols from Nature (MEGANv3.2) with the input of time-varying satellite-retrieved vegetation and reanalysis meteorology data. Comparison of model simulations with the site observations shows that the model can reasonably reproduce the magnitude of isoprene and monoterpene emission fluxes. The spatial distribution of the modeled isoprene emissions is generally comparable to the satellite retrievals. The estimated annual average global BVOC emissions are 835.4 Tg yr−1 with the emissions from isoprene, monoterpenes, sesquiterpenes, and other BVOC comprised of 347.7, 184.8, 23.3, and 279.6 Tg yr−1, respectively. We find that the decrease in global isoprene emissions (−0.07 % per year) caused by the increase in CO2 concentrations (−0.20 % per year) is stronger than that caused by changes in vegetation (−0.03 % per year) and meteorological factors (0.15 % per year). However, regional disparities are large. Isoprene emissions increase significantly in Europe, East Asia, and South Asia (0.37 % per year–0.66 % per year). Half of the increasing trend is contributed by increased leaf area index (LAI) (maximum over 0.02 m2 m−2 yr−1) and tree cover. Changes in meteorological factors contribute to another half, with elevated temperature dominating in Europe and increased soil moisture dominating in East and South Asia. In contrast, in South America and Southeast Asia, shifts in vegetation type associated with the BVOC emission capacity, which partly results from the deforestation and agricultural expansion, decrease the BVOC emission and offset nearly half of the emission increase caused by changes in meteorological factors. Overall, isoprene emission increases by 0.35 % per year and 0.25 % per year in South America and Southeast Asia, respectively. In Central Africa, a decrease in temperature dominates the negative emission trend (−0.74 % per year). Global monoterpene emissions show a significantly increasing trend (0.34 % per year, 0.6 Tg yr−1) compared to that of isoprene (−0.07 % per year, −0.2 Tg yr−1), especially in strong greening hotspots. This is mainly because the monoterpene emissions are more sensitive to changes in LAI and are not subject to the inhibition effect of CO2. The findings highlight the important roles of vegetation cover and biomass, temperature, and soil moisture in modulating the temporal variations of global BVOC emissions in the past 2 decades.

show abstract

Land cover change dominates decadal trends of biogenic volatile organic compound (BVOC) emission in China

Cited by 4 publications

References 35 publications

Identifying the spatiotemporal variations of ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

Identifying the spatiotemporal variations of ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

Role of Heat Wave‐Induced Biogenic VOC Enhancements in Persistent Ozone Episodes Formation in Pearl River Delta

Regional to global distributions, trends, and drivers of biogenic volatile organic compound emission from 2001 to 2020

Contact Info

Product

Resources

About