DOI: 10.1016/j.atmosenv.2017.11.052
Scopus记录号: 2-s2.0-85036511314
论文题名: Constraining the uncertainty in emissions over India with a regional air quality model evaluation
作者: Karambelas A ; , Holloway T ; , Kiesewetter G ; , Heyes C
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 174 起始页码: 194
结束页码: 203
语种: 英语
英文关键词: Emissions
; India
; Model
; NO2
; OMI
; Satellite
Scopus关键词: Air quality
; Climate models
; Environmental Protection Agency
; Gas emissions
; Greenhouse gases
; Models
; Nitrogen oxides
; Particulate emissions
; Pollution
; Pollution control
; Quality assurance
; Quality control
; Rural areas
; Satellites
; Troposphere
; Ultraviolet spectrometers
; Anthropogenic emissions
; Central pollution control boards
; Community multi-scale air qualities
; Densely populated regions
; India
; Ozone monitoring instruments
; Regional air quality modeling
; U.S. Environmental Protection Agency
; Air pollution
; nitrogen dioxide
; air quality
; anthropogenic effect
; atmospheric pollution
; concentration (composition)
; emission inventory
; environmental modeling
; environmental monitoring
; greenhouse gas
; nitrogen oxides
; satellite altimetry
; spatial distribution
; uncertainty analysis
; urban pollution
; air pollution control
; air quality
; Article
; climate
; combustion
; exhaust gas
; greenhouse gas
; India
; meteorology
; model
; population density
; priority journal
; rural area
; simulation
; surface property
; urban area
; India
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: To evaluate uncertainty in the spatial distribution of air emissions over India, we compare satellite and surface observations with simulations from the U.S. Environmental Protection Agency (EPA) Community Multi-Scale Air Quality (CMAQ) model. Seasonally representative simulations were completed for January, April, July, and October 2010 at 36 km × 36 km using anthropogenic emissions from the Greenhouse Gas-Air Pollution Interaction and Synergies (GAINS) model following version 5a of the Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants project (ECLIPSE v5a). We use both tropospheric columns from the Ozone Monitoring Instrument (OMI) and surface observations from the Central Pollution Control Board (CPCB) to closely examine modeled nitrogen dioxide (NO2) biases in urban and rural regions across India. Spatial average evaluation with satellite retrievals indicate a low bias in the modeled tropospheric column (−63.3%), which reflects broad low-biases in majority non-urban regions (−70.1% in rural areas) across the sub-continent to slightly lesser low biases reflected in semi-urban areas (−44.7%), with the threshold between semi-urban and rural defined as 400 people per km2. In contrast, modeled surface NO2 concentrations exhibit a slight high bias of +15.6% when compared to surface CPCB observations predominantly located in urban areas. Conversely, in examining extremely population dense urban regions with more than 5000 people per km2 (dense-urban), we find model overestimates in both the column (+57.8) and at the surface (+131.2%) compared to observations. Based on these results, we find that existing emission fields for India may overestimate urban emissions in densely populated regions and underestimate rural emissions. However, if we rely on model evaluation with predominantly urban surface observations from the CPCB, comparisons reflect model high biases, contradictory to the knowledge gained using satellite observations. Satellites thus serve as an important emissions and model evaluation metric where surface observations are lacking, such as rural India, and support improved emissions inventory development. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83061
Appears in Collections: 气候变化事实与影响
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作者单位: Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin—Madison, 1710 University Avenue, Madison, WI, United States; Department of Atmospheric and Oceanic Sciences, University of Wisconsin—Madison, 1225 West Dayton Street, Madison, WI, United States; Air Pollution and Greenhouse Gases, International Institute for Applied Systems Analysis, Schloßplatz 1, Laxenburg, Austria
Recommended Citation:
Karambelas A,, Holloway T,, Kiesewetter G,et al. Constraining the uncertainty in emissions over India with a regional air quality model evaluation[J]. Atmospheric Environment,2018-01-01,174