A biogenic volatile organic compound emission inventory for Hong Kong

Tsui, Jeanie Kin-Yin; Guenther, Alex; Yip, Wing-Kin; Chen, Feng

doi:10.1016/j.atmosenv.2008.01.027

Cited by 87 publications

(55 citation statements)

References 35 publications

(26 reference statements)

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“…Moreover, the dominant tree species in Guangdong also changed from coniferous forest (mainly strong terpene emitters) into broadleaf forest (predominantly isoprene emitters), which is consistent with that reported by Ye (2010). In the last decade, the total changes in forest cover between the base year (2006) Table 3, the results of this study fall within the ranges of previously published inventories in PRD (Zheng et al, 2010;Wang et al, 2011) and Hong Kong (Tsui et al, 2009). For example, in the present study the average isoprene emission flux in PRD was 0.35 Mg C km (2 in July, slightly higher than the summertime average of 0.31 Mg C km (2 reported by Wang et al (2011).…”

Section: Resultssupporting

confidence: 69%

“…In this study, PFT-specific emission factors of BVOCs for the four aggregated PFTs (i.e., broadleaf forest, coniferous forest, shrub, and cropland/grassland) were determined by local field observations in the literature Sakulyanontvittaya et al, 2008;Tsui et al, 2009;Leung et al, 2010;Wang et al, 2011). NO emission factors from soil were developed through measurements with static or dynamic chambers (Williams et al, 1992;Guenther et al, 2000).…”

Section: Megan Natural Emission Modelmentioning

confidence: 99%

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Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Li¹,

Song

Liu³

et al. 2015

Tellus B: Chemical and Physical Meteorology

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A B S T R A C TThe decadal variations in emissions of high-reactivity biogenic volatile organics (BVOCs), as a result of landcover changes, could significantly impact ozone (O 3 ) production. In this study, the Weather Research and Forecasting/Chemistry (WRF/Chem) modelling system, coupled with dynamic vegetation data sets derived from Moderate Resolution Imaging Spectroradiometer (MODIS, 2001Á2012) and Advanced Very High Resolution Radiometer (AVHRR, early 1990s) measurements, were used to investigate the impacts of landcover changes on natural emissions, and consequently O 3 production, in the Pearl River Delta (PRD) region of southern China over the past two decades. Model results indicate that BVOC emissions were highly dependent on forest area. The total BVOC emissions in the modelling domain increased by a factor of two due to afforestation since the early 1990s, declined slowly ( (5.8% yr production in PRD, depending on the chemical regimes and prevailing winds. The impacts on O 3 production were most sensitive in downwind areas, and it was found that the large increase in BVOC emissions during 2006Á2012 tended to reduce surface O 3 concentrations by 1.6Á2.5 ppb in rural regions, but caused an increment of O 3 peaks by up to 2.0Á6.0 ppb in VOC-limited urban areas (e.g., Guangzhou, Foshan and Zhongshan). The opposite was true in the period 2001Á2006, when the reduced BVOC emissions resulted in 1.3Á4.0 ppb increases in daytime O 3 concentrations over northern rural regions. Impact of the two-fold increase in BVOC emissions since the early 1990s to 2006 was a 0.9Á4.6 ppb increment in surface O 3 concentrations over the downwind areas. This study suggests that the potential impacts on ozone chemistry should be considered in long-term land-use planning and air-quality management.

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Section: Resultssupporting

confidence: 69%

Section: Megan Natural Emission Modelmentioning

confidence: 99%

Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Li¹,

Song

Liu³

et al. 2015

Tellus B: Chemical and Physical Meteorology

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“…The higher RIR of BVOCs in summer was mainly due to the higher biogenic emissions in summer. In addition, higher photochemical reactivity of BVOCs also contributed to higher RIR of BVOCs (Atkinson and Arey, 2003;Tsui et al, 2009). The RIR values of NO x , in contrast, were negative in all seasons, indicating that reducing NO x would lead to an increase in photochemical O 3 formation.…”

Section: Ozone-precursor Relationshipsmentioning

confidence: 90%

Long-term O<sub>3</sub>–precursor relationships in Hong Kong: field observation and model simulation

et al. 2017

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Abstract. Over the past 10 years (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014), ground-level O 3 in Hong Kong has consistently increased in all seasons except winter, despite the yearly reduction of its precursors, i.e. nitrogen oxides (NO x = NO + NO 2 ), total volatile organic compounds (TVOCs), and carbon monoxide (CO). To explain the contradictory phenomena, an observation-based box model (OBM) coupled with CB05 mechanism was applied in order to understand the influence of both locally produced O 3 and regional transport. The simulation of locally produced O 3 showed an increasing trend in spring, a decreasing trend in autumn, and no changes in summer and winter. The O 3 increase in spring was caused by the net effect of more rapid decrease in NO titration and unchanged TVOC reactivity despite decreased TVOC mixing ratios, while the decreased local O 3 formation in autumn was mainly due to the reduction of aromatic VOC mixing ratios and the TVOC reactivity and much slower decrease in NO titration. However, the decreased in situ O 3 formation in autumn was overridden by the regional contribution, resulting in elevated O 3 observations. Furthermore, the OBM-derived relative incremental reactivity indicated that the O 3 formation was VOClimited in all seasons, and that the long-term O 3 formation was more sensitive to VOCs and less to NO x and CO in the past 10 years. In addition, the OBM results found that the contributions of aromatics to O 3 formation decreased in all seasons of these years, particularly in autumn, probably due to the effective control of solvent-related sources. In contrast, the contributions of alkenes increased, suggesting a continuing need to reduce traffic emissions. The findings provide updated information on photochemical pollution and its impact in Hong Kong.

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“…Local studies (Bai and Wang, 2001;Klinger et al, 2002;Tsui et al, 2009) have quantified the standard emission factors of isoprene, leaf-or branch-level, for some plant species, including the dominated tree species around the studying site (Table 1). Most of them were measured in DBR.…”

Section: Isoprene Emission Factormentioning

confidence: 99%

“…The uncertainties in model parameters, including activity factor, meteorological inputs and vegetation input, were firstly quantified with statistical analysis For emission factor of explicit tree species, the uncertainty ranges were citied from literature (Bai and Wang, 2001;Klinger et al, 2002;Tsui et al, 2009). The probabilistic distributions used to obtain the uncertainties are summarized in Table 2, where the distributions are in accordance with the previous studies (Hanna et al, 1998;Tang et al, 2010;Zheng et al, 2010b).…”

Section: Monte Carlo Approach For Quantifying the Uncertaintiesmentioning

confidence: 99%

Observed and modeled ecosystem isoprene fluxes from an oak-dominated temperate forest and the influence of drought stress

Potosnak

LeStourgeon

Pallardy

et al. 2014

Atmospheric Environment

149

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h i g h l i g h t sLocal constrained MEGAN tends to estimate isoprene emission reasonably well. Considerably high uncertainties were found for isoprene emission using Monte Carlo approach. Key uncertainty sources in isoprene emission estimated were identified. a r t i c l e i n f o a b s t r a c tWith local observed emission factor and meteorological data, this study constrained the Model of Emissions of Gases and Aerosols from Nature (MEGAN) v2.1 to estimate isoprene emission from the Dinghushan forest during fall 2008 and quantify the uncertainties associated with MEGAN parameters using Monte Carlo approach. Compared with observation-based isoprene emission data originated from a campaign during this period at this site, the local constrained MEGAN tends to reproduce the diurnal variations and magnitude of isoprene emission reasonably well, with correlation coefficient of 0.7 and mean bias of 47.5%. The results also indicate high uncertainties in isoprene emission estimated, with the relative error varied from À89.0e111.0% at the 95% confidence interval. The key uncertainty sources include emission factors, g TLD , photosynthetically active radiation (PAR) and temperature. This implies that accurate input of emission factor, PAR and temperature is a key approach to reduce uncertainties in isoprene emission estimation.

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A biogenic volatile organic compound emission inventory for Hong Kong

Cited by 87 publications

References 35 publications

Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Long-term O<sub>3</sub>–precursor relationships in Hong Kong: field observation and model simulation

Observed and modeled ecosystem isoprene fluxes from an oak-dominated temperate forest and the influence of drought stress

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A biogenic volatile organic compound emission inventory for Hong Kong

Cited by 87 publications

References 35 publications

Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China

Long-term O&lt;sub&gt;3&lt;/sub&gt;–precursor relationships in Hong Kong: field observation and model simulation

Observed and modeled ecosystem isoprene fluxes from an oak-dominated temperate forest and the influence of drought stress

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Long-term O<sub>3</sub>–precursor relationships in Hong Kong: field observation and model simulation