A biogenic volatile organic compounds emission inventory for Beijing

2003 ◽  
Vol 37 (27) ◽  
pp. 3771-3782 ◽  
Author(s):  
W Zhihui
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Biogenic Volatile Organic Compounds ◽  
Volatile Organic

The biogenic volatile organic compounds emission inventory in France

2006 ◽  
Vol 372 (1) ◽  
pp. 164-182 ◽  
Author(s):  
Valérie Simon ◽  
Laurent Dumergues ◽  
Jean-Luc Ponche ◽  
Liberto Torres
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Biogenic Volatile Organic Compounds ◽  
Volatile Organic

scholarly journals Atmospheric reactivity of biogenic volatile organic compounds in a maritime pine forest during the LANDEX episode 1 field campaign

2021 ◽  
Vol 756 ◽  
pp. 144129
Author(s):  
Kenneth Mermet ◽  
Emilie Perraudin ◽  
Sébastien Dusanter ◽  
Stéphane Sauvage ◽  
Thierry Léonardis ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Pine Forest ◽  
Maritime Pine ◽  
Biogenic Volatile Organic Compounds ◽  
Field Campaign ◽  
Atmospheric Reactivity ◽  
Volatile Organic

Characterization of biogenic volatile organic compounds (BVOCs) in cleaning reagents and air fresheners in Hong Kong

2011 ◽  
Vol 45 (34) ◽  
pp. 6191-6196 ◽  
Author(s):  
Yu Huang ◽  
Steven Sai Hang Ho ◽  
Kin Fai Ho ◽  
Shun Cheng Lee ◽  
Yuan Gao ◽  
...  
Keyword(s):  
Hong Kong ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Biogenic Volatile Organic Compounds ◽  
Volatile Organic

scholarly journals Sensitivity of biogenic volatile organic compounds to land surface parameterizations and vegetation distributions in California

2016 ◽  
Vol 9 (5) ◽  
pp. 1959-1976 ◽  
Author(s):  
Chun Zhao ◽  
Maoyi Huang ◽  
Jerome D. Fast ◽  
Larry K. Berg ◽  
Yun Qian ◽  
...  
Keyword(s):  
Air Quality ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Land Surface ◽  
Aerosol Formation ◽  
Biogenic Volatile Organic Compounds ◽  
Vegetation Map ◽  
Near Surface ◽  
Volatile Organic ◽  
The Impact

Abstract. Current climate models still have large uncertainties in estimating biogenic trace gases, which can significantly affect atmospheric chemistry and secondary aerosol formation that ultimately influences air quality and aerosol radiative forcing. These uncertainties result from many factors, including uncertainties in land surface processes and specification of vegetation types, both of which can affect the simulated near-surface fluxes of biogenic volatile organic compounds (BVOCs). In this study, the latest version of Model of Emissions of Gases and Aerosols from Nature (MEGAN v2.1) is coupled within the land surface scheme CLM4 (Community Land Model version 4.0) in the Weather Research and Forecasting model with chemistry (WRF-Chem). In this implementation, MEGAN v2.1 shares a consistent vegetation map with CLM4 for estimating BVOC emissions. This is unlike MEGAN v2.0 in the public version of WRF-Chem that uses a stand-alone vegetation map that differs from what is used by land surface schemes. This improved modeling framework is used to investigate the impact of two land surface schemes, CLM4 and Noah, on BVOCs and examine the sensitivity of BVOCs to vegetation distributions in California. The measurements collected during the Carbonaceous Aerosol and Radiative Effects Study (CARES) and the California Nexus of Air Quality and Climate Experiment (CalNex) conducted in June of 2010 provided an opportunity to evaluate the simulated BVOCs. Sensitivity experiments show that land surface schemes do influence the simulated BVOCs, but the impact is much smaller than that of vegetation distributions. This study indicates that more effort is needed to obtain the most appropriate and accurate land cover data sets for climate and air quality models in terms of simulating BVOCs, oxidant chemistry and, consequently, secondary organic aerosol formation.

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