Volatile organic compounds from vegetation in southern Yunnan Province, China: Emission rates and some potential regional implications

Geron, Chris; Owen, S. M.; Guenther, Alex; Greenberg, J.; Rasmussen, R. A.; Bai, Jian; Liu, Qingjun; Baker, B.

doi:10.1016/j.atmosenv.2005.11.022

Cited by 91 publications

(75 citation statements)

References 28 publications

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“…This is expected to have resulted in a large decrease in biogenic isoprenoid emissions and an increase in biogenic NO emissions. The current trend in China is an increase in forest plantations in the countryside, and vegetation covered areas within urban zones and the planted trees tend to have very high isoprenoid emission rates (Klinger et al, 2002;Geron et al, 2006). The result is some landscapes with emission rates that are much higher than the natural forest landscape (Klinger et al, 2002).…”

Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 96%

“…A simple scheme is applied to estimate potential future biogenic emissions in China (Table 3). We have adjusted the emission factors assigned to each landcover type to reflect the expected change in emissions associated with the landcover changes summarized by Geron et al (2006). As we evaluate potential future chemistry scenarios for the purpose of better understanding the drivers and impacts and designing pollution control strategies, it is important to consider the potential changes and impacts of biogenic emissions.…”

Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 99%

“…The result is some landscapes with emission rates that are much higher than the natural forest landscape (Klinger et al, 2002). Geron et al (2006) describe the substantial landcover changes that are expected to occur Table 3 Categories of USGS land cover, and the emission rates for isoprene, monoterpenes (Cμg/m The emission factors were derived from the biogenic emission inventory described by Wang et al (2005b) ("new" case). The numbers in parentheses are the assumed biogenic emission rates in the future due to predicted land-cover changes in China.…”

Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 99%

“…However, the emission inventory described by that study does not include biogenic emissions. There are a few measurements of biogenic VOC emissions, including grasslands in northern China (He et al, 2004), and tropical forest in southern China (Wang et al, 2005a, b;Baker et al, 2005;Geron et al, 2006). To fully understand the chemistry in China and to model the distributions of air pollutants, the biogenic emissions of VOCs and NO need to be estimated.…”

Section: Introductionmentioning

confidence: 99%

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Biogenic emissions of isoprenoids and NO in China and comparison to anthropogenic emissions

Tie

Ying

et al. 2006

Science of The Total Environment

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In this study, a regional dynamical model (WRF) is used to drive biogenic emission models to calculate high resolution (10 × 10 km) biogenic emissions of isoprene (C 5 H 8 ), monoterpenes (C 10 H 16 ), and nitric oxide (NO) in China. This high resolution biogenic inventory will be available for the community to study the effect of biogenic emissions on photochemical oxidants in China. The biogenic emissions are compared to anthropogenic emissions to gain insight on the potential impact of the biogenic emissions on tropospheric chemistry, especially ozone production in this region. The results show that the biogenic emissions in China exhibit strongly diurnal, seasonal, and spatial variations. The isoprenoid (including both isoprene and monoterpenes) emissions are closely correlated to tree density and strongly vary with season and local time. During winter (January), the biogenic isoprenoid emissions are the lowest, resulting from lower temperature and solar radiation, and highest in summer (July) due to higher temperature and solar radiation. The biogenic NO emissions are also higher during summer and lower during winter, but the magnitude of the seasonal variation is smaller than the emissions of isoprene and monoterpenes. The biogenic emissions of NO are widely spread out in the northern, eastern, and southern China regions, where high-density agricultural soil lands are located. Both biogenic NO and isoprenoid emissions are very small in western China. The calculated total biogenic emission budget is smaller than the total anthropogenic VOC emission budget in China. The biogenic isoprenoid and anthropogenic VOC emissions are 10.9 and 15.1 Tg year − 1 , respectively. The total biogenic and anthropogenic emissions of NO are 5.9 and 11.5 Tg(NO) year − 1 , respectively. The study shows that in central eastern China, the estimated biogenic emissions of isoprenoids are very small, and the anthropogenic emissions of VOCs are dominant in this region. However, in northeastern and southern China, there are relatively large biogenic emissions of isoprenoids, leading to an important impact on the ozone production in these regions. Furthermore, the emissions of isoprenoids are highest during summer and noontime, which correlates to the peak of ozone production period. For example, the ratio between summer and winter for the emissions of isoprenoids is about 15 in China. As a result, the biogenic emissions of isoprenoids are significantly larger than the anthropogenic emissions of VOCs in China during daytime in summer. Biogenic NO emissions are mostly produced by agricultural soils which co-exist with large populations and human activity. As a result, the biogenic emissions of NO are mostly overlapped with the anthropogenic emissions of NO, leading to the enhancement in NO concentrations in the high anthropogenic NO emission regions. Finally, the future emissions of isoprene and monoterpenes over China are estimated. The results show that the future biogenic emissions may increase significantly due to land cover ...

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Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 96%

Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 99%

Section: Estimate Of Uncertainty and Future Biogenic Emissions Over Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Biogenic emissions of isoprenoids and NO in China and comparison to anthropogenic emissions

Tie

Ying

et al. 2006

Science of The Total Environment

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“…In such cases the reduction of emission occurs particularly in the potentially most "productive" times whereas in other periods the basal emission potential is limiting. Such regions commonly have a large coverage of isoprenoid-emitting species either due to natural (Kellomäki et al, 2001) or anthropogenic (Vizuete et al, 2002;Lathiere et al, 2006;Geron et al, 2006) reasons (e.g. plantation of crops and fast growing trees to produce bio-energy).…”

Section: Drought Stress Effectmentioning

confidence: 99%

Process-based simulation of seasonality and drought stress in monoterpene emission models

et al. 2010

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Abstract. Canopy emissions of volatile hydrocarbons such as isoprene and monoterpenes play an important role in air chemistry. They depend on various environmental conditions, are highly species-specific and are expected to be affected by global change. In order to estimate future emissions of these isoprenoids, differently complex models are available. However, seasonal dynamics driven by phenology, enzymatic activity, or drought stress strongly modify annual ecosystem emissions. Although these impacts depend themselves on environmental conditions, they have yet received little attention in mechanistic modelling.In this paper we propose the application of a mechanistic method for considering the seasonal dynamics of emission potential using the "Seasonal Isoprenoid synthase Model" (Lehning et al., 2001). We test this approach with three different models (GUENTHER, Guenther et al., 1993; NI-INEMETS, Niinemets et al., 2002a; BIM2, Grote et al., 2006) that are developed for simulating light-dependent monoterpene emission. We also suggest specific drought stress representations for each model. Additionally, the proposed model developments are compared with the approach realized in the MEGAN (Guenther et al., 2006) emission model. Models are applied to a Mediterranean Holm oak (Quercus ilex) site with measured weather data.The simulation results demonstrate that the consideration of a dynamic emission potential has a strong effect on annual monoterpene emission estimates. The investigated models, however, show different sensitivities to the procedure for determining this seasonality impact. Considering a drought impact reduced the differences between the applied models and decreased emissions at the investigation site by approxiCorrespondence to: R. Grote (ruediger.grote@imk.fzk.de) mately 33% on average over a 10 year period. Although this overall reduction was similar in all models, the sensitivity to weather conditions in specific years was different. We conclude that the proposed implementations of drought stress and internal seasonality strongly reduce estimated emissions and indicate the measurements that are needed to further evaluate the models.

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Daytime Reactions of 1,8‐Cineole in the Troposphere

et al. 2011

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Relative rate coefficients for the gas-phase reaction of chlorine atoms (Cl) and hydroxyl radicals (OH) with 1,8-cineole were determined by Fourier-transform infrared (FTIR) spectroscopy between 285 and 313 K at atmospheric pressure. The temperature dependence of both reactions shows simple Arrhenius behaviour which can be represented by the following expressions (in units of cm(3) molecule(-1) s(-1)): k(1,8-cineole+OH)=(6.28 ± 6.53) × 10(-8) exp[(-2549.3 ± 155.7)/T] and k(1,8-cineole+Cl)=(1.35 ± 1.07) × 10(-10) exp[(-151.6 ± 237.7)/T]. Major products of the titled reactions were identified by solid-phase microextraction (SPME) coupled to a GC-MS. Additionally, the first step of the reaction was theoretically studied by ab initio calculations and a reaction mechanism is proposed.

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Volatile organic compounds from vegetation in southern Yunnan Province, China: Emission rates and some potential regional implications

Cited by 91 publications

References 28 publications

Biogenic emissions of isoprenoids and NO in China and comparison to anthropogenic emissions

Biogenic emissions of isoprenoids and NO in China and comparison to anthropogenic emissions

Process-based simulation of seasonality and drought stress in monoterpene emission models

Daytime Reactions of 1,8‐Cineole in the Troposphere

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