Long-term measurement of biogenic volatile organic compounds in a rural background area: Contribution to ozone formation

The profiles, contributions to ozone formation, and associated health risks of 56 volatile organic compounds (VOCs) species were investigated using high time resolution observations from photochemical assessment monitoring stations (PAMs) in Luoyang, China. The daily averaged concentration of total VOCs (TVOCs) was 21.66 ± 10.34 ppbv in urban areas, 14.45 ± 7.40 ppbv in suburbs, and 37.58 ± 13.99 ppbv in an industrial zone. Overall, the VOCs levels in these nine sites followed a decreasing sequence of alkanes > aromatics > alkenes > alkyne. Diurnal variations in VOCs exhibited two peaks at 8:00–9:00 and 19:00–20:00, with one valley at 23:00–24:00. Source apportionment indicated that vehicle and industrial emissions were the dominant sources of VOCs in urban and suburban sites. The industrial site displayed extreme levels, with contributions from petrochemical-related sources of up to 38.3%. Alkenes and aromatics displayed the highest ozone formation potentials because of their high photochemical reactivity. Cancer and noncancer risks in the industrial site were higher than those in the urban and suburban areas, and USEPA possible risk thresholds were reached in the industrial site, indicating PAMs VOC–related health problems cannot be ignored. Therefore, vehicle and industrial emissions should be prioritized when considering VOCs and O3 control strategies in Luoyang.

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

Atmospheric Environment ◽

10.1016/j.atmosenv.2011.08.012 ◽

2011 ◽

Vol 45 (34) ◽

pp. 6191-6196 ◽

Cited By ~ 18

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

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Development of a Water Matrix Certified Reference Material for Volatile Organic Compounds Analysis in Water

Molecules ◽

10.3390/molecules26144370 ◽

2021 ◽

Vol 26 (14) ◽

pp. 4370

Author(s):

Liping Fang ◽

Linyan Huang ◽

Gang Yang ◽

Yang Jiang ◽

Haiping Liu ◽

...

Keyword(s):

Volatile Organic Compounds ◽

Reference Material ◽

Organic Compounds ◽

Certified Reference Material ◽

Pure Water ◽

Term Stability ◽

Long Term Stability ◽

Water Matrix ◽

Volatile Organic

Water matrix certified reference material (MCRM) of volatile organic compounds (VOCs) is used to provide quality assurance and quality control (QA/QC) during the analysis of VOCs in water. In this research, a water MCRM of 28 VOCs was developed using a “reconstitution” approach by adding VOCs spiking, methanol solution into pure water immediately prior to analysis. The VOCs spiking solution was prepared gravimetrically by dividing 28 VOCs into seven groups, then based on ISO Guide 35, using gas chromatography-mass spectrometry (GC-MS) to investigate the homogeneity and long-term stability. The studies of homogeneity and long-term stability indicated that the batch of VOCs spiking solution was homogeneous and stable at room temperature for at least 15 months. Moreover, the water MCRM of 28 VOCs was certified by a network of nine competent laboratories, and the certified values and expanded uncertainties of 28 VOCs ranged from 6.2 to 17 μg/L and 0.5 to 5.3 μg/L, respectively.

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Root anoxia effects on physiology and emissions of volatile organic compounds (VOC) under short- and long-term inundation of trees from Amazonian floodplains

SpringerPlus ◽

10.1186/2193-1801-1-9 ◽

2012 ◽

Vol 1 (1) ◽

pp. 9 ◽

Cited By ~ 17

Author(s):

Araceli Bracho-Nunez ◽

Nina Knothe ◽

Wallace R Costa ◽

Liberato R Maria Astrid ◽

Betina Kleiss ◽

...

Keyword(s):

Volatile Organic Compounds ◽

Organic Compounds ◽

Volatile Organic ◽

Short And Long Term

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

Geoscientific Model Development ◽

10.5194/gmd-9-1959-2016 ◽

2016 ◽

Vol 9 (5) ◽

pp. 1959-1976 ◽

Cited By ~ 14

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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