Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River delta region, China

Shang-ji, Situ; Guenther, Alex; Wang, Xinming; Jiang, Xiaoyan; Turnipseed, Andrew A.; Wu, Zhiyong; Bai, J. M.

doi:10.5194/acp-13-11803-2013

Cited by 95 publications

(51 citation statements)

References 69 publications

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“…Emmerson et al (2016) found ratios close to 1 for observed levels in the Sydney basin. This is in contrast to a ratio of 0.18 found in boreal forests dominated by monoterpenes (Spirig et al, 2004), and to a ratio of 26.4 in deciduous Michigan forests dominated by isoprene (Kanawade et al, 2011). SOA formation is inhibited in regions where isoprene dominates, however it is not known what impact a carbon ratio of one will have.…”

Section: Spatial Distribution Of Emissionscontrasting

confidence: 47%

“…One of the most commonly used algorithms for estimating BVOC emission rates was proposed by Guenther et al (1991Guenther et al ( , 1993Guenther et al ( , 1995 and Guenther (1997) providing the basis for the Model of Emissions of Gases and Aerosols from Nature, MEGAN (Guenther et al, 2006(Guenther et al, , 2012. MEGAN has been used to estimate the BVOC emissions within many atmospheric chemistry models (Heald et al, 2008;Pfister et al, 2008;Stavrakou et al, 2009Stavrakou et al, , 2014Emmons et al, 2010;Millet et al, 2010;Situ et al, 2013;Kim et al, 2014;Tilmes et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Isoprene and monoterpene emissions in south-east Australia: comparison of a multi-layer canopy model with MEGAN and with atmospheric observations

et al. 2018

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Abstract. One of the key challenges in atmospheric chemistry is to reduce the uncertainty of biogenic volatile organic compound (BVOC) emission estimates from vegetation to the atmosphere. In Australia, eucalypt trees are a primary source of biogenic emissions, but their contribution to Australian air sheds is poorly quantified. The Model of Emissions of Gases and Aerosols from Nature (MEGAN) has performed poorly against Australian isoprene and monoterpene observations. Finding reasons for the MEGAN discrepancies and strengthening our understanding of biogenic emissions in this region is our focus. We compare MEGAN to the locally produced Australian Biogenic Canopy and Grass Emissions Model (ABCGEM), to identify the uncertainties associated with the emission estimates and the data requirements necessary to improve isoprene and monoterpene emissions estimates for the application of MEGAN in Australia. Previously unpublished, ABCGEM is applied as an online biogenic emissions inventory to model BVOCs in the air shed overlaying Sydney, Australia. The two models use the same meteorological inputs and chemical mechanism, but independent inputs of leaf area index (LAI), plant functional type (PFT) and emission factors. We find that LAI, a proxy for leaf biomass, has a small role in spatial, temporal and inter-model biogenic emission variability, particularly in urban areas for ABCGEM. After removing LAI as the source of the differences, we found large differences in the emission activity function for monoterpenes. In MEGAN monoterpenes are partially light dependent, reducing their dependence on temperature. In ABCGEM monoterpenes are not light dependent, meaning they continue to be emitted at high rates during hot summer days, and at night. When the light dependence of monoterpenes is switched off in MEGAN, night-time emissions increase by 90-100 % improving the comparison with observations, suggesting the possibility that monoterpenes emitted from Australian vegetation may not be as light dependent as vegetation globally. Targeted measurements of emissions from in situ Australian vegetation, particularly of the light dependence issue are critical to improving MEGAN for one of the world's major biogenic emitting regions.

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Section: Spatial Distribution Of Emissionscontrasting

confidence: 47%

Section: Introductionmentioning

confidence: 99%

Isoprene and monoterpene emissions in south-east Australia: comparison of a multi-layer canopy model with MEGAN and with atmospheric observations

et al. 2018

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“…By using the Weather Research and Forecasting coupled with Chemistry (WRF-Chem)/ Model of Emissions of Gases and Aerosols from Nature (MEGAN) model, Situ et al (2013) estimated the impacts of seasonal variations in BVOCs on surface-layer O 3 over the Pearl River Delta region for year 2010 and reported that the impact of BVOC emissions on the surface ozone peak was about 10 ppbv (3 ppbv) on average with a maximum value of 34 ppbv (24.8 ppbv) in summer (autumn), as the concentrations simulated with BVOC emissions were compared with those simulated without BVOC emissions. By using the GEOS-Chem/MEGAN model, Fu and Liao (2012) reported that the interannual variations in BVOCs over 2001Á2006 led to differences in simulated summertime surface-layer O 3 and SOA concentrations in China by 2Á5%.…”

Section: Introductionmentioning

confidence: 99%

Impacts of land use and land cover changes on biogenic emissions of volatile organic compounds in China from the late 1980s to the mid-2000s: implications for tropospheric ozone and secondary organic aerosol

Liao

2014

Tellus B: Chemical and Physical Meteorology

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A B S T R A C T Based on the MEGAN (Model of Emissions of Gases and Aerosols from Nature) module embedded within the global chemical transport model (GEOS-Chem), we estimate the changes in emissions of biogenic volatile organic compounds (BVOCs) and their impacts on surface-layer O 3 and secondary organic aerosols (SOA) in China between the late 1980s and the mid-2000s by using the land cover dataset derived from remote sensing images and land use survey. The land cover change in China from the late 1980s to the mid-2000s can be characterised by an expansion of urban areas (the total urban area in the mid-2000s was four times that in the late 1980s) and a reduction in total vegetation coverage by 4%. Regionally, the fractions of land covered by forests exhibited increases in southeastern and northeastern China by 10Á30 and 5Á15%, respectively, those covered by cropland decreased in most regions except that the farmingÁpastoral zone in northern China increased by 5Á20%, and the factions of grassland in northern China showed a large reduction of 5Á30%. With changes in both land cover and meteorological fields, annual BVOC emission in China is estimated to increase by 11.4% in the mid-2000s relative to the late 1980s. With anthropogenic emissions of O 3 precursors, aerosol precursors and aerosols fixed at year 2005 levels, the changes in land cover and meteorological parameters from the late 1980s to the mid-2000s are simulated to change the seasonal mean surface-layer O 3 concentrations by (4 to '6 ppbv ((10 to '20%) and to change the seasonal mean surface-layer SOA concentrations by (0.4 to '0.6 mg m (3 ( (20 to '30%) over China. We find that the decadal changes in meteorological parameters had larger collective effects on BVOC emissions and surface-layer concentrations of O 3 and SOA than those in land cover and land use alone. We also perform a sensitivity simulation to compare the impacts of changes in anthropogenic emissions on concentrations of O 3 and SOA with those of the changes in meteorological parameters and land cover.

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“…Recent estimates from Zare et al (2014) found BVOC to be the most significant contributor to ozone formation over land areas in the Northern Hemisphere enhancing the mixing ratio by about 11 %. In the Pearl River Delta in China (Situ et al, 2013) ozone is sensitive to the BVOC levels particularly in urban areas. At a regional European scale, biogenic emissions increase O 3 locally, while reducing PM 2.5 levels (Tagaris et al, 2014).…”

Section: Role Of Biogenics In the Formation Of Ozonementioning

confidence: 99%

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

et al. 2015

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Abstract. Ozone holds a certain fascination in atmospheric science. It is ubiquitous in the atmosphere, central to tropospheric oxidation chemistry, yet harmful to human and ecosystem health as well as being an important greenhouse gas. It is not emitted into the atmosphere but is a byproduct of the very oxidation chemistry it largely initiates. Much effort is focused on the reduction of surface levels of ozone owing to its health and vegetation impacts, but recent efforts to achieve reductions in exposure at a country scale have proved difficult to achieve owing to increases in background ozone at the zonal hemispheric scale. There is also a growing realisation that the role of ozone as a short-lived climate pollutant could be important in integrated air quality climate change mitigation. This review examines current understanding of the processes regulating tropospheric ozone at global to local scales from both measurements and models. It takes the view that knowledge across the scales is important for dealing with air quality and climate change in a synergistic manner. The review shows that there remain a number of clear challenges for ozone such as explaining surface trends, incorporating new chemical understanding, ozone-climate coupling, and a better assessment of impacts. There is a clear and present need to treat ozone across the range of scales, a transboundary issue, but with an emphasis on the hemispheric scales. New observational opportunities are offered both by satellites and small sensors that bridge the scales.

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Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River delta region, China

Cited by 95 publications

References 69 publications

Isoprene and monoterpene emissions in south-east Australia: comparison of a multi-layer canopy model with MEGAN and with atmospheric observations

Isoprene and monoterpene emissions in south-east Australia: comparison of a multi-layer canopy model with MEGAN and with atmospheric observations

Impacts of land use and land cover changes on biogenic emissions of volatile organic compounds in China from the late 1980s to the mid-2000s: implications for tropospheric ozone and secondary organic aerosol

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

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