Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas

Kota, Sri Harsha; Schade, Gunnar W.; Estes, Mark; Boyer, Doug; Ying, Qi

doi:10.1016/j.atmosenv.2015.03.027

Cited by 42 publications

(32 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6). This is consistent with other studies comparing MEGAN 2.1 isoprene flux with measurements in the Sierra Nevada of northern California (Misztal et al, 2014) and also with modeling systems using MEGAN 2.1 isoprene emissions compared with ambient isoprene concentrations in Texas (Kota et al, 2015) and southern Missouri (Carlton and Baker, 2011). The airborne flux measurements of Misztal et al (2014) are lower than the Figure 6.…”

Section: Cmaq Estimates Compared With Cares and Bearpex Measurementssupporting

confidence: 91%

“…Model performance is similar to isoprene where BEIS estimates compare favorably with measurements, and MEGAN 2.1 emissions result in notable overestimates (Fig. S7) similar to previous studies (Kota et al, 2015). Methacrolein can further react in the atmosphere to form methacryloyl peroxynitrate (MPAN) which can form methacrylic acid epoxide (MAE) and subsequently secondary organic aerosol including aerosol methylglyceric acid, organic sulfates, and organic nitrates (Worton et al, 2013).…”

Section: Cmaq Estimates Compared With Cares and Bearpex Measurementssupporting

confidence: 78%

See 1 more Smart Citation

Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California

2016

View full text Add to dashboard Cite

Abstract. Biogenic volatile organic compounds (BVOC) participate in reactions that can lead to secondarily formed ozone and particulate matter (PM) impacting air quality and climate. BVOC emissions are important inputs to chemical transport models applied on local to global scales but considerable uncertainty remains in the representation of canopy parameterizations and emission algorithms from different vegetation species. The Biogenic Emission Inventory System (BEIS) has been used to support both scientific and regulatory model assessments for ozone and PM. Here we describe a new version of BEIS which includes updated input vegetation data and canopy model formulation for estimating leaf temperature and vegetation data on estimated BVOC. The Biogenic Emission Landuse Database (BELD) was revised to incorporate land use data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land product and 2006 National Land Cover Database (NLCD) land coverage. Vegetation species data are based on the US Forest Service (USFS) Forest Inventory and Analysis (FIA) version 5.1 for 2002–2013 and US Department of Agriculture (USDA) 2007 census of agriculture data. This update results in generally higher BVOC emissions throughout California compared with the previous version of BEIS. Baseline and updated BVOC emission estimates are used in Community Multiscale Air Quality (CMAQ) Model simulations with 4 km grid resolution and evaluated with measurements of isoprene and monoterpenes taken during multiple field campaigns in northern California. The updated canopy model coupled with improved land use and vegetation representation resulted in better agreement between CMAQ isoprene and monoterpene estimates compared with these observations.

show abstract

Section: Cmaq Estimates Compared With Cares and Bearpex Measurementssupporting

confidence: 91%

Section: Cmaq Estimates Compared With Cares and Bearpex Measurementssupporting

confidence: 78%

Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California

2016

View full text Add to dashboard Cite

show abstract

“…We also compare the isoprene observations to a CAMx simulation with a recently released version of BEIS version 3.61 [Bash et al, 2015], which shows the best agreement with observations ( Figure S10); BEIS version 3.61 has improved land use and canopy representation. Similar to our study, Kota et al [2015] also showed an overestimate of isoprene using MEGAN version2.1 in southeast Texas. The comparison of observed ozone to values from the Beta simulation exhibits similar features as the comparison for the baseline simulation.…”

Section: Updated "Beta" Model Simulationsupporting

confidence: 90%

CAMx ozone source attribution in the eastern United States using guidance from observations during DISCOVER‐AQ Maryland

Goldberg

Vinciguerra

Anderson

et al. 2016

Geophysical Research Letters

View full text Add to dashboard Cite

A Comprehensive Air‐Quality Model with Extensions (CAMx) version 6.10 simulation was assessed through comparison with data acquired during NASA's 2011 Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER‐AQ) Maryland field campaign. Comparisons for the baseline simulation (Carbon Bond 2005 (CB05) chemistry, Environmental Protection Agency 2011 National Emissions Inventory) show a model overestimate of NOy by +86.2% and an underestimate of HCHO by −28.3%. We present a new model framework (Carbon Bond 6 Revision 2 chemistry (CB6r2), Model of Emissions of Gases and Aerosols from Nature (MEGAN) version 2.1 biogenic emissions, 50% reduction in mobile NOx, enhanced representation of isoprene nitrates) that better matches observations. The new model framework attributes 31.4% more surface ozone in Maryland to electric generating units (EGUs) and 34.6% less ozone to on‐road mobile sources. Surface ozone becomes more NOx limited throughout the eastern United States compared to the baseline simulation. The baseline model therefore likely underestimates the effectiveness of anthropogenic NOx reductions as well as the current contribution of EGUs to surface ozone.

show abstract

“…To effectively design pollution control strategies, the contributions of different emission sources to PM 2.5 concentrations are crucial. Source-oriented chemical transport models (CTMs) based on a tagged tracer technique have been developed and used for source apportionment of gases (Kota et al, 2014) and PM (Zhang and Ying, 2010;Kota et al, 2015;Ying et al, 2015) in the past. Guo et al (2017), which was the first study to use the source-oriented Community Multiscale Air Quality (CMAQ) model in India, showed that the residential sector contributed the most (∼ 80 µg m −3 ) to total PM 2.5 , followed by the industrial sector (∼ 70 µg m −3 ) in 2015.…”

mentioning

confidence: 99%

Source contributions and potential reductions to health effects of particulate matter in India

et al. 2018

Self Cite

View full text Add to dashboard Cite

Abstract. Health effects of exposure to fine particulate matter (PM2.5) in India were estimated in this study based on a source-oriented version of the Community Multi-scale Air Quality (CMAQ) model. Contributions of different sources to premature mortality and years of life lost (YLL) were quantified in 2015. Premature mortality due to cerebrovascular disease (CEVD) was the highest in India (0.44 million), followed by ischaemic heart disease (IHD, 0.40 million), chronic obstructive pulmonary disease (COPD, 0.18 million), and lung cancer (LC, 0.01 million), with a total of 1.04 million deaths. The states with highest premature mortality were Uttar Pradesh (0.23 million), Bihar (0.12 million), and West Bengal (0.10 million). The highest total YLL was 2 years in Delhi, and the Indo-Gangetic plains and eastern India had higher YLL (∼1 years) than other regions. The residential sector was the largest contributor to PM2.5 concentrations (∼40 µg m−3), total premature mortality (0.58 million), and YLL (∼0.2 years). Other important sources included industry (∼20 µg m−3), agriculture (∼10 µg m−3), and energy (∼5 µg m−3) with their national averaged contributions of 0.21, 0.12, and 0.07 million to premature mortality, and 0.12, 0.1, and 0.05 years to YLL. Reducing PM2.5 concentrations would lead to a significant reduction of premature mortality and YLL. For example, premature mortality in Uttar Pradesh (including Delhi) due to PM2.5 exposures would be reduced by 79 % and YLL would be reduced by 83 % when reducing PM2.5 concentrations to 10 µg m−3.

show abstract

Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas

Cited by 42 publications

References 41 publications

Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California

Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California

CAMx ozone source attribution in the eastern United States using guidance from observations during DISCOVER‐AQ Maryland

Source contributions and potential reductions to health effects of particulate matter in India

Contact Info

Product

Resources

About