DOI: 10.1016/j.atmosenv.2016.11.006
Scopus记录号: 2-s2.0-84995543028
论文题名: Improved MEGAN predictions of biogenic isoprene in the contiguous United States
作者: Wang P ; , Schade G ; , Estes M ; , Ying Q
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 148 起始页码: 337
结束页码: 351
语种: 英语
英文关键词: BEIS
; Formaldehyde
; Isoprene emission factor
; MEGAN
; OMI
Scopus关键词: Aerosols
; Air quality
; Atmospheric composition
; Forecasting
; Formaldehyde
; Ozone
; Ultraviolet spectrometers
; Volatile organic compounds
; BEIS
; Community multi-scale air qualities
; Isoprene emission
; MEGAN
; Ozone monitoring instruments
; Satellite based observations
; Secondary organic aerosols
; Spatial and temporal variation
; Isoprene
; formaldehyde
; isoprene
; aerosol formation
; atmospheric modeling
; biogenic emission
; chemical compound
; concentration (composition)
; emission inventory
; equipment
; formaldehyde
; isoprene
; pollution monitoring
; satellite data
; software
; spatial distribution
; volatile organic compound
; air quality
; Alabama
; Arkansas
; Article
; circadian rhythm
; concentration (parameters)
; controlled study
; data base
; exhaust gas
; leaf age
; leaf area
; limit of detection
; Louisiana
; Mississippi
; New York
; nonhuman
; Oklahoma
; plant leaf
; prediction
; priority journal
; soil moisture
; surface area
; Tennessee
; Texas
; urban area
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Isoprene emitted from biogenic sources significantly contributes to ozone and secondary organic aerosol formation in the troposphere. The Model of Emissions of Gases and Aerosols from Nature (MEGAN) has been widely used to estimate isoprene emissions from local to global scales. However, previous studies have shown that MEGAN significantly over-predicts isoprene emissions in the contiguous United States (US). In this study, ambient isoprene concentrations in the US were simulated by the Community Multiscale Air Quality (CMAQ) model (v5.0.1) using biogenic emissions estimated by MEGAN v2.10 with several different gridded isoprene emission factor (EF) fields. Best isoprene predictions were obtained with the EF field based on the Biogenic Emissions Landcover Database v4 (BELD4) from US EPA for its Biogenic Emission Inventory System (BEIS) model v3.61 (MEGAN-BEIS361). A seven-month simulation (April to October 2011) of isoprene emissions with MEGAN-BEIS361 and ambient concentrations using CMAQ shows that observed spatial and temporal variations (both diurnal and seasonal) of isoprene concentrations can be well predicted at most non-urban monitors using isoprene emission estimation from the MEGAN-BEIS361 without significant biases. The predicted monthly average vertical column density of formaldehyde (HCHO), a reactive volatile organic compound with significant contributions from isoprene oxidation, generally agree with the spatial distribution of HCHO column density derived using satellite data collected by the Ozone Monitoring Instrument (OMI), although summer month vertical column densities in the southeast US were overestimated, which suggests that isoprene emission might still be overestimated in that region. The agreement between observation and prediction may be further improved if more accurate PAR values, such as those derived from satellite-based observations, were used in modeling the biogenic emissions. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82302
Appears in Collections: 气候变化事实与影响
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作者单位: Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, United States; Department of Atmospheric Sciences, Texas A&M University, College Station, TX, United States; Texas Commission of Environmental Quality, Austin, TX, United States
Recommended Citation:
Wang P,, Schade G,, Estes M,et al. Improved MEGAN predictions of biogenic isoprene in the contiguous United States[J]. Atmospheric Environment,2017-01-01,148