Exceedance level of air pollutants in an urban area as a tool
Wu_Qianru-SURE2016
1. Comparison of Indian Air pollutant Emissions Inventories at National and Regional Levels
INTRODUCTION METHODS
REFERENCES
Department of Environmental Sciences, Emory University, Atlanta, GA, USA
Qianru Wu, Min Zhong, Eri Saikawa
1. Pandey, A., P. Sadavarte, A. B. Rao, and C. Venkataraman (2014),
Trends in multi-pollutant emissions from a technology-linked
Inventory for India: II. Residential, agricultural and informal
industry sectors, Atmos. Environ., 99, 341–352, doi:10.1016/j.
atmosenv. 2014.09.080
2. Sadavarte, P., and C. Venkataraman (2014), Trends in multi-
pollutant emissions from a technology-linked inventory for India:
Industry and transport sectors, Atmos. Environ., 99, 353–364,
doi:10.1016/j. atmosenv.2014.09.081.
Air pollution in India has negative impact
on local residents' health.
Obtaining correct emission inventories is
essential to the air emission estimation and
air quality simulation.
Some studies have already compared the
Indian air emission inventories, but most of
them are at national level, not the regional
level.
RESULTS
India domain with nine regions indicated
The main objective of this paper is to
compare different Indian air emission
inventories at both national and regional
levels.
OBJECTIVES
National level
Compare national total emissions estimates for
each species in different inventories. Analyze
the mean, standard deviation and assess the
trend for all the pollutants in India
Provincial level
Calculate the provincial/regional total
emissions for each species estimated in
different inventories for each of the four
sources sectors. Analyze the mean, standard
deviation and assess the trend for all the
pollutants in India.
CONCLUSIONS
• Great discrepancies are found among
the national and regional inventories.
In region 6, REAS estimates 14.5 times higher
total SO2 emissions than EDGAR.
• Emissions from power plants vary greatly
within all inventories.
• At regional level, EDGAR and
GAINS have the similar emission level,
while REAS are different from those two
inventories.
• Future studies are needed to use these
emissions to run the air quality model and
compare the simulated air pollutant
concentrations with observational data.
Acknowledgements: I thank Dr.
Saikawa and Min for the support, and
thank SURE program for this
opportunity.
Comparison of national emissions from 2000 to 2011.
Comparison of regional emissions in 2000. Purple, green, red and blue bars are transportation, power plants,
industries and domestic sectors, respectively.
0
200
400
600
800
1000
1200
1400
1600
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
Ajay
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
Region 1 Region 2 Region 3 Region4 Region 5 Region 6 Region 7 Region 8 Region 9
NOx Regional Emission 2000(Gg/Yr)
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
Region 1 Region 2 Region 3 Region 4 Region 5 Region 6 Region 7 Region 8 Region 9
CO Regional Emission 2000(Gg/Yr)
0
200
400
600
800
1000
1200
1400
1600
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
Region 1 Region 2 Region 3 Region 4 Region 5 Region 6 Region 7 Region 8 Region 9
PM10 Regional Emission 2000(Gg/Yr)
0
200
400
600
800
1000
1200
1400
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
EDGAR
REAS
GAINS
Region 1 Region 2 Region 3 Region 4 Region 5 Region 6 Region 7 Region 8 Region 9
SO2 Regional Emission 2000(Gg/Yr)
Region 1
Region 2Region 3
Region 4
Region 5
Region 6
Region 7
Region 8
Region 9
0
4,000
8,000
12,000
16,000
20,000
24,000
28,000
32,000
36,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
CO National Emission (Gg/Yr)
EDGAR ind
EDGAR tra
EDGAR pow
EDGAR dom
REAS ind
REAS tra
REAS pow
REAS dom
N-G dom
N-G on-road
S-P ind
S-P dom
S-P tra
S-P pow
GAINS ind
GAINS tra
GAINS pow
GAINS dom
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
PM10 National Emission (Gg/Yr)
EDGAR ind
EDGAR tra
EDGAR pow
EDGAR dom
REAS ind
REAS tra
REAS pow
REAS res
N-G on-road
S-P ind
S-P dom
S-P tras
S-P pow
GAINS ind
GAINS tra
GAINS pow
GAINS dom
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
NOx National Emission (Gg/Yr)
EDGAR ind
EDGAR tra
EDGAR pow
EDGAR dom
REAS ind
REAS tra
REAS pow
REAS dom
N-G on-road
N-G dom
S-P ind
S-P dom
S-P tra
S-P pow
GAINS ind
GAINS tra
GAINS pow
GAINS dom
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
SO2 National Emission (Gg/Yr) EDGAR ind
EDGAR tra
EDGAR pow
EDGAR dom
REAS ind
REAS tra
REAS pow
REAS dom
N-G dom
S-P ind
S-P dom
S-P tra
S-P pow
GAINS ind
GAINS tra
GAINS pow
GAINS dom
Smith
• EDGAR: the Emissions Database for Global
Atmospheric Research
• REAS: The Regional Emissions Inventory in Asia
• GAINS: The model developed by International
Institute for Applied System Analysis for estimating
10 air pollutants and 6 GHGs for each country
• S-P: Two Indian emissions inventories published in
two papers [Pandey et al., 2014; Sadavarte and
Venkataraman, 2014]. Sadavarte and Venkataraman
(2014) presented the emissions from industry and
transport sectors in India, while Pandey et al.
(2014) published the complementary emissions
inventory for the residential, agriculture and
informal industry sectors.