Speciation of anthropogenic emissions of non-methane volatile organic compounds: a global gridded data set for 1970–2012

Huang, Ganlin; Brook, Rosie; Crippa, Monica; Janssens‐Maenhout, Greet; Schieberle, Christian; Dore, C.; Guizzardi, Diego; Muntean, Marilena; Schaaf, Edwin; Friedrich, Rainer

doi:10.5194/acp-17-7683-2017

Cited by 165 publications

(146 citation statements)

References 24 publications

Supporting

Mentioning

134

Contrasting

Unclassified

Order By: Relevance

“…Anthropogenic emissions for Europe, the US, and the rest of the world were from the European Monitoring and Evaluation Programme inventory (Vestreng, 2003), the U.S. EPA 2005 National Emission Inventory (https://www.epa.gov/air-emissions-inventories/ national-emissions-inventory-nei, last access: December, 2012), and the EDGAR inventory (version 2.0) (Olivier et al, 1999), respectively, and scaled to the year 2007 using CO 2 emissions (van Donkelaar et al, 2008). Post-harvest, in-field burning of crop residue has been recognized as a large seasonal source of NMVOCs in China (Fu et al, 2007;Huang et al, 2012;Liu et al, 2015;Stavrakou et al, 2016). These emissions from crop residue fires have been severely underestimated in inventories based on burned area observations from satellites, such as the Global Fire Emissions Database version 3 (GFED3; van der Werf et al, 2010).…”

Section: A Priori Emission Estimates Of Chinese Nmvocsmentioning

confidence: 99%

“…These emissions from crop residue fires have been severely underestimated in inventories based on burned area observations from satellites, such as the Global Fire Emissions Database version 3 (GFED3; van der Werf et al, 2010). The recent Global Fire Emissions Database version 4 (GFED4s; van der Werf et al, 2017) included small fires by scaling burned area with satellite fire pixel observations, but the resulting Chinese NMVOC emission esti-15022 H. Cao et al: Adjoint inversion of Chinese non-methane volatile organic mate from biomass burning (0.91 Tg yr −1 ) was still much lower than the bottom-up inventory by Huang et al (2012). Huang et al (2012) estimated the Chinese CO emission from crop residue burning to be 4.0 Tg yr −1 , based on MODIS daily thermal anomalies, Chinese provincial burned biomass data, and emission factors from Akagi et al (2011).…”

Section: A Priori Emission Estimates Of Chinese Nmvocsmentioning

confidence: 99%

“…Bottom-up estimates for total annual Chinese NMVOC emissions for the years 2005 to 2012 ranged from 31 to 57 Tg yr −1 Bo et al, 2008;Q. Zhang et al, 2009;van der Werf et al, 2010van der Werf et al, , 2017Cao et al, 2011;Huang et al, 2012;Kurokawa et al, 2013;Li et al, 2014;Stavrakou et al, 2014;Sindelarova et al, 2014;Wu et al, 2016;Huang et al, 2017;Granier et al, 2017). Such large uncertainties in the emission estimates of Chinese NMVOCs have led to great difficulty in evaluating their impacts on regional chemistry (Han et al, 2013;Wang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

reply for both reviews for acp-2017-1136 (Hansen Cao et al., 2018)

Fu¹

2018

Preprint

View full text Add to dashboard Cite

We used the GEOS-Chem model and its adjoint to quantify Chinese non-methane volatile organic compound (NMVOC) emissions for the year 2007, using the tropospheric column concentrations of formaldehyde and glyoxal observed by the Global Ozone Monitoring Experiment 2A (GOME-2A) instrument and the Ozone Monitoring Instrument (OMI) as quantitative constraints. We conducted a series of inversion experiments using different combinations of satellite observations to explore their impacts on the topdown emission estimates. Our top-down estimates for Chinese annual total NMVOC emissions were 30.7 to 49.5 (average 41.9) Tg yr −1 , including 16.4 to 23.6 (average 20.2) Tg yr −1 from anthropogenic sources, 12.2 to 22.8 (average 19.2) Tg yr −1 from biogenic sources, and 2.08 to 3.13 (average 2.48) Tg yr −1 from biomass burning. In comparison, the a priori estimate for Chinese annual total NMVOC emissions was 38.3 Tg yr −1 , including 18.8 Tg yr −1 from anthropogenic sources, 17.3 Tg yr −1 from biogenic sources, and 2.27 Tg yr −1 from biomass burning. The simultaneous use of glyoxal and formaldehyde observations helped distinguish the NMVOC species from different sources and was essential in constraining anthropogenic emissions. Our four in-version experiments consistently showed that the Chinese anthropogenic emissions of NMVOC precursors of glyoxal were larger than the a priori estimates. Our top-down estimates for Chinese annual emission of anthropogenic aromatics (benzene, toluene, and xylene) ranged from 5.5 to 7.9 Tg yr −1 , 2 % to 46 % larger than the estimate of the a priori emission inventory (5.4 Tg yr −1 ). Three out of our four inversion experiments indicated that the seasonal variation in Chinese NMVOC emissions was significantly stronger than indicated in the a priori inventory. Model simulations driven by the average of our top-down NMVOC emission estimates (which had a stronger seasonal variation than the a priori) showed that surface afternoon ozone concentrations over eastern China increased by 1-8 ppb in June and decreased by 1-10 ppb in December relative to the simulations using the a priori emissions and were in better agreement with measurements. We concluded that the satellite observations of formaldehyde and glyoxal together provided quantitative constraints on the emissions and source types of NMVOCs over China and improved our understanding on regional chemistry.

show abstract

Section: A Priori Emission Estimates Of Chinese Nmvocsmentioning

confidence: 99%

Section: A Priori Emission Estimates Of Chinese Nmvocsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

reply for both reviews for acp-2017-1136 (Hansen Cao et al., 2018)

Fu¹

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Individual NMVOC species were aggregated into species groups as proposed by the GEIA initiative and introduced in the last 20 EDGAR VOC inventory (Huang et al, 2017) (Tables S1, S2 and S3). In this way, a larger VOC database was considered, including 13 species of terpenes, intermediated VOCs (iVOCs from C11-C16 n-alkanes), ketones and carbonyls compounds for a reduced number of sources (Table S3).…”

Section: Nmvocs Efmentioning

confidence: 99%

Aerosol and VOC emission factor measurements for African anthropogenic sources

Keita

Liousse

Yoboue

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract. 15A number of campaigns have been carried out to establish the emission factors of pollutants from fuel combustion in West Africa, as part of work package 2 ('Air Pollution and Health') of the DACCIWA (Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa) FP7 program. Emission sources considered here include wood and charcoal burning, charcoal making, open waste burning, and vehicles including trucks, cars, buses and two-wheeled vehicles. Emission factors of total particulate matter, black carbon, primary organic carbon and non-methane volatile organic compounds (NMVOC) have been 20established. In addition, emission factor measurements were performed in combustion chambers in order to reproduce field burning conditions for tropical hardwood, and obtain particulate emission factors by size (PM0.25, PM1, PM2.5 and PM10).Aerosol samples were collected on quartz filters and analysed using gravimetric and thermal methods. The emission factors of 50 NMVOC species were determined using systematic off-line sampling. Emission factors from wood burning for black carbon, organic carbon and total particulate matter were 0.8 ± 0.4 g/kg of dry matter (dm), 9.29 ± 3.82 g/kg dm and 34.54 ± 25 20.6 g/kg dm, respectively. From traffic sources, the highest emission factors for all particulate species were emitted from two wheeled vehicles with two-stroke engines (2.74 g/kg fuel for black carbon, 65.11 g/kg fuel for organic carbon and 496 g/kg fuel for total particulate matter). The emissions of NMVOCs were lower than those of particles for all sources aside from traffic. The largest NMVOC emissions were observed for two-stroke two-wheeled vehicles, which were up to three times higher than emissions from light-duty and heavy-duty vehicles. Isoprene and monoterpenes, which are usually associated with 30 biogenic emissions, were present in almost all anthropogenic source categories and could be as significant as aromatic emissions in wood burning (1 g/kg dm). Black carbon was primarily emitted in the ultrafine fraction, with 77% of the total mass being emitted as particles smaller than 0.25 µm. This study observed higher particle and NMVOC emission factors than Atmos. Chem. Phys. Discuss., https://doi

show abstract

“…3.1 (http://mcm.leeds.ac.uk/MCM).Anthropogenic VOC emissions are obtained from EDGAR v4.3.2(Huang et al, 2017) between 2005 and 2012. Anthropogenic emissions of NOx, CO, and SO 2 are taken from HTAPv2(Janssens-Maenhout et al, 2015).…”

mentioning

confidence: 99%

Impact of Short‐Term Climate Variability on Volatile Organic Compounds Emissions Assessed Using OMI Satellite Formaldehyde Observations

Stavrakou

Müller

Bauwens

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

A major feedback between climate and atmospheric chemistry lies in the meteorological dependence of the emissions of biogenic volatile organic compounds (BVOCs), precursors of important climate forcers, aerosols, and ozone. Whereas the short‐term response of BVOC emissions to meteorological drivers is fairly well simulated by current emission models, it is yet unclear whether models can faithfully predict their response to climate change, given the scarcity of long observation records of BVOC fluxes. Here we take advantage of the high yield of formaldehyde (HCHO) in the oxidation of VOCs and use a long‐term spaceborne record of HCHO observations in combination with model simulations to show that (i) HCHO interannual variability is primarily driven by climate through its impacts on photochemistry, vegetation fire occurrence, and above all, biogenic emissions and (ii) the HCHO record validates the interannual variability of biogenic emissions calculated by the state‐of‐the‐art Model of Emissions of Gases and Aerosols from Nature (MEGAN) emission model in vegetated regions.

show abstract

Speciation of anthropogenic emissions of non-methane volatile organic compounds: a global gridded data set for 1970–2012

Cited by 165 publications

References 24 publications

reply for both reviews for acp-2017-1136 (Hansen Cao et al., 2018)

reply for both reviews for acp-2017-1136 (Hansen Cao et al., 2018)

Aerosol and VOC emission factor measurements for African anthropogenic sources

Impact of Short‐Term Climate Variability on Volatile Organic Compounds Emissions Assessed Using OMI Satellite Formaldehyde Observations

Contact Info

Product

Resources

About