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Distribution Trends of UV-Absorbing Aerosols in India
Under Prof. Sagnik Dey – ASL720
Utkarsh
2010CS50299 Nikhil Gupta
2010CS50289 Harshal Bidasaria 2010CS50283
Akshay Singhal 2010CS10207
Dushyant Behl 2010CS50282
Introduction
India follows a cyclic process of an increase in
concentrations of UV-absorbing aerosol during the
summer months. These aerosol concentrations which
consistently remain constant for the rest of the year
show a sudden tendency to rise in the month of March,
particularly in the regions of North India. In this paper we
have attempted to analyze the variations that we see
with regards to Absorbing Aerosol Index (AAI) values for
a period of 30 years over the region of Indian Peninsula.
We have gone through a process of analyzing monthly
trends for the year of 1988, and tried to show how the
AAI values start increasing from the period of March,
reaches its peak value in May, and gets nearly receded
till July. We have also taken up two separate regions, that
of Kanpur and Thar Desert that show considerably high
variations throughout the year. The comparison of
Kanpur and Thar Desert is done for the periods separated
by nearly a decade, the years being 1980, 1990 and 2000.
We have tried to see what is the difference between the
trends that follow over the desert regions of Thar, and
how is it different from the trends that follow in one of
the highly populated cities in the Indo-Gangetic basin.
Following these observations we have tried to find out
how Monsoons may possibly be playing a role in
reduction of aerosol concentrations at the end of
summers.
We have also tried to establish some long term trends.
The long term trends are done in a month wise fashion.
We have taken up two months – May (1999 –2004) and
July (1984 – 1987). The month of May gives the highest
AAI values for most of the years. So, the analysis of May
helps us in understanding the trends in aerosol
concentrations when the values are at their peaks. We
may find out if there is an overall increase in the aerosol
concentrations as the years have progressed through the
recent rapid increase in industrialization across the areas
of Uttar Pradesh. The month of July shows us the trends
of aerosol concentrations when the aerosol levels start
decreasing. We find out using the analysis of July, if the
time during which aerosol concentrations remain high
for a year remains the same across a consecutive period
of five years or not.
We have also covered up the monthly
distribution patterns over a period of five consecutive
years in Kanpur, and monthly distribution patterns
separated by a decade. We are trying to see if the aerosol
variation trends in Kanpur are also cyclic in nature or not,
and that if atmospheric transport is one of the major
reasons in high AAI values over the Indo-Gangetic plains
or not.
Data
The primary source of our data for visualization and
analysis was TOMS daily level 3 global 1.0°x1.25°. The
data was retrieved from three different satellites for
different time ranges
Nimbus – 7 : 1978 – 93
Meteor – 3 : 1992 – 94
Earth Probe : 1996 – 05
We also obtained certain UV Aerosol Index plots of the entire World were also obtained to find any dependencies or relationships that the trends in India may have with the trends that may be observed for the World in general, particularly the area covering Saudi Peninsula and Africa.
Monthly Trends for 1988
In March, the aerosol content is low and initially exists
because of biomass burning, atmospheric transport of
aerosols from nearby deserts like Thar and other less
significant factors like industrial activity, vehicular
emissions etc. However, it is relatively higher in specific
regions such as The Thar Desert of Rajasthan and The
Kutch Desert of Gujarat since the desert dust is a major
source of UV absorbing aerosols.
As the months progress, atmospheric transport carries
aerosols from source locations to other remote areas.
The higher AAI (absorbing aerosol index) is observed
over India (especially the Indo-Gangetic plains). This
observed trend can be attributed to the following
reasons. First is the inflow of aerosols from Sahara desert
through atmospheric transport. The Mediterranean
winds are the major source of atmospheric transport of
aerosols from Sahara desert to remote areas like India.
Some examples of Mediterranean winds that may be
involved are Sirocco, Khamsin etc. Second is the
increased biomass burning and agriculture crop residue
burning in the Indo-Gangetic plains (IGP) during the dry
seasons.
As can be seen from the plots, the AAI is highest in the
month of May. This supports the atmospheric transport
theory by saying that the tropospheric winds reduce in
intensity after the month of May. This is in conjunction
with the durations of many Mediterranean winds. Also
since biomass burning is concentrated in activities like
cultivation, deforestation, forest fires etc., higher values
of AAI is observed in peak dry seasons.
As the inflow of aerosols reduces and the dry season
starts coming to an end (with the advent of monsoon),
the average AAI starts to decrease and ultimately
reduces down to the initial low values.
Annual trends – Kanpur
Kanpur-1980
Kanpur-1990
Kanpur-2000
Kanpur is an industrial city with a large population. In the
three graphs shown above it can be observed that the
Aerosol Absorbing Index is higher in the summer months.
The AAI picks up starting from March and it increases
gradually through the summers, and then drops
dramatically with the onset of monsoon.
It can also be noted that the average AAI values as well
as the maximum AAI values have increased over the
years. This trend can be attributed to high industrial
growth in the region, causing greater emissions of
particulates.
Annual trends – Thar Region
Thar-1980
Thar-1990
Thar-2000
The trends for Thar is visibly different from that of
Kanpur. The Thar region receives no rain in the Monsoon
period and so it doesn’t cause any reduction in the AAI
levels. Instead we see a more gradual rise and decline of
the AAI levels over the months with the peak values at
around the June-July period.
Here again we see an increase in the average and the
peak AAI values over the years. This could be attributed
to increasing temperatures in the region and increasingly
arid climate, leading to higher amounts of fine
suspended dust particles.
Monthly Trends over Kanpur for Consecutive Years
(1984-86)
Monthly Trend for 1984
Monthly Trend for 1985
Monthly Trend for 1986
The above graphs present information about AAI over
Kanpur region for 3 consecutive years (1984-86). The AAI
value for each month is the temporal and spatial
average. As can be clearly seen the shape of the plot for
each year in the given range is the same.
This presents a very interesting observation i.e. the cyclic
nature of aerosol variation. Every year, AAI over Kanpur
undergoes the same variation with time (more or less).
Some small variations can be noticed like value at the
peak.
The same shape suggests a cyclic nature in the variation
and distribution of aerosol content over Kanpur region
which strongly supports the assertion that India
experiences a lot of inflow of aerosols from Sahara region
(atmospheric transport because the flow of tropospheric
winds is cyclic in nature i.e. the duration and timing of
winds is approximately the same every year).
A question arises here is that why is Saharan desert being
speculated as the source. Well, the answer lies in the fact
that desert dust is one of the largest sources of UV
absorbing aerosols and Saharan desert is the largest
desert in the world where aerosols are constantly
transferred to the Troposphere especially in the dry
seasons. Also its proximity to the Mediterranean sea
results in easy transport of the aerosols through
Mediterranean winds to remote areas (in a specific belt
determined by the carrier wind).
Monthly Trends over Kanpur Over decades
Presented below are plots which represent the variation
of average AAI values over Kanpur region over 3 decades.
As can be clearly seen, the cyclic nature observed in the
earlier plots is preserved over decades leading us to the
conclusion that a periodic yearly cause – possibly
atmospheric transport of aerosols (originally originating
from desert dust in Sahara) is one of the major reasons
in high AAI values over Kanpur region (and by extension
over the Indo-Gangetic plains) apart from biomass
burning (which is also cyclic).
1980
1991
2000
Yearly Trends in May over Indian Peninsula (1999 – 2004) – Analysis on Next Page
The changing graphs show an influx of UV-absorbing aerosols from the North-West into the Indian
Peninsula. This is the peak time of the year when AAI gives the highest values. The Absorbing Aerosol
Index shows a general trend in increasing values over this year range. The year of 2001 has an
exceptionally low aerosol cover as compared to other years.
Yearly Trends For May (1999 - 2004)
The Absorbing Aerosol Index consistently shows the
highest values in the month of May over the Indian
Peninsula. The visualized data on the previous page
shows that the highest values lies over the range of 3+.
The regions with highest AAI values are found around
Central India, prominently Delhi, and eastern Uttar
Pradesh.
If we compare the data of May for the year range
1999 to 2004, we see a trend that there is a relatively
higher presence of UV-absorbing aerosols in the region
that extends from beyond North-West of Rajasthan to
somewhere in the middle of Indo-Gangetic planes. The
Deccan Plateau has relatively lower levels of AAI values,
but it still shows a trend of increasing AAI over the period
of these five years. The data from May 2002 and May
2003 clearly shows that the increase in UV-absorbing
aerosol concentration in Deccan Plateau is an extension
of the regions of Central India that already showed high
AAI values in the previous years. The region that is south
of this and the Arabian Sea also show a relative increase
in AAI values but this increase is relatively low as
compared to other parts of India that we have covered.
The regions around Uttar Pradesh and Rajasthan
show relatively higher AAI values as compared to other
parts of the country. There’s also a gap in between these
regions, that is more prominent in the years 2000, 2001,
2002 and 2004. The reasons for these separated high
aerosol concentration can be different. Uttar Pradesh
has the highest population in country. It is possible that
the local emissions due to human activity in Uttar
Pradesh is resulting in relatively higher AAI values in that
specific region. Industrialization, and high population
together may be the two chief contributing factors for
higher aerosol concentrations around Uttar Pradesh.
Uttar Pradesh also forms the central part of the
agricultural belt of India. So, one of the other possible
reasons for higher concentrations around this region
may also be agriculture crop residue burning.
Rajasthan on the other hand has a large portion
of desert area. The population density is comparatively a
lot less as compared to Uttar Pradesh. Since, desert dust
is one of the primary sources of UV-absorbing aerosols
we can assume that Thar Desert is the reason that
Rajasthan has relatively higher aerosol concentrations as
compared to other surrounding regions in India. But
desert dust itself may not be enough to explain the cause
of increasing AAI values when yearly trends are
observed. It is possible that one of the possible reasons
for this increasing trend is an external factor. When we
check the world AAI values for May in 2002, we noice
that the higher AAI values in Rajasthan are an extension
of the regions of Uttar Pradesh that has the highest
relative AAI values in the surrounding regions. The whole
of Indo-Gangetic Planes and Thar Desert form a
contiguous area. It is also possible that Thar and Uttar
Pradesh have localized high concentration of UV-
absorbing aerosols, but due to the action of winds the
aerosol concentration evenly spreads out across the
whole of the Indo-Gangetic Plains and the Thar Desert.
Yearly Trends for July (1984-1987)
July is the period when Aerosol Index for UV-absorbing
aerosols starts decreasing over the Indian Peninsula. If
yearly data is observed for this month it can be seen that
the averaged out Aerosol Index value over the Indian
Peninsula increases over the period of 1984-1987. The
western half of the Indian Region has comparatively
higher AAI values as compared to the eastern half,
especially in the year of 1985. The receding UV-absorbing
Aerosol cover shows comparatively higher levels of AAI
towards the North-West Region of Indian Desert. This
pattern is consistent for the range of 1984 – 1987.
In the region of Central India, around Delhi and
Western border of Uttar Pradesh, we notice a higher
concentration of UV-absorbing aerosols, especially year
1985 onwards. An AAI value in the range of 2 - 2.5 can be
observed for this area of Central India and Eastern
Pakistan in the year 1985. For the same month in 1987,
both of these areas seem to merge into a single
contiguous area of AAI 2 - 2.5. It may also be noticed that
other than the area around Delhi and UP, no other region
in India seems to have high localized AAI values.
The AAI values over this period of time for
Arabian Sea also shows an increase from 1 - 1.5 in 1984,
to 1.5 - 2 in 1985. It then stays consistent for the years
following 1985. There seems to be no primary source of
absorbing aerosols over this region, hence it’s only
possible that the increase in aerosol concentration is due
to transport of UV-absorbing aerosols from some other
region. India on the east of this region, does not seem to
be a source of any UV-absorbing aerosol. On South,
Arabian Sea is surrounded by Indian Ocean, which also
cannot be a source of UV-absorbing aerosols. The only
possible regions which may be responsible for this
increase in AAI values can be Arabian Peninsula and
Africa in the West, or Indian Desert and Pakistan in the
North. The global AAI pattern in July for the year 1987
shows that the reason of increased AAI values is possibly
inflow of UV-absorbing aerosols from both African
Desert and Arabian Peninsula in West, and Indian Desert
and Pakistan in North.
Conclusion
The analysis of collected data shows that the major
sources of UV absorbing aerosols are desert dust and
biomass burning. The Aerosol Absorbing Index is
observed to be maximum in the summers in the Indian
Subcontinent, with the values peaking around the May-
June period.
The monthly variations in AAI were observed to follow
similar trends over a period of three decades showing
increase around the months of April-May-June and then
decreasing afterwards.
The aerosol content was observed to be increasing over
the years due to increasing industrial activities,
consumption of coal and vehicular emissions.
We also noticed the role of the global weather patterns
in the distribution of aerosols. Mediterranean winds
carry over aerosols from the Saharan regions into the
Indian subcontinent via the Arabian Peninsula.
AAI levels were seem to be cyclic in nature and showed
this nature over a fixed belt which strongly indicated
towards the presence of Tropical winds mainly flowing
eastwards.
Some highly industrialized regions like Kanpur had higher
AAI values as compared to the surrounding regions. The
reasons for this included higher biomass burning and
industrial activity.
We also noticed that Monsoon played a role in
controlling the AAI levels. The regions which received
rainfall such as Kanpur during the monsoon season saw
a dramatic drop in AAI values, while other regions such
as Thar which do not receive any rainfall showed no such
drop in AAI levels.
Work Distribution
Nikhil and Utkarsh: Analyzing yearly trends over Indian
peninsula
Harshal And Dushyant: Analyzing monthly trends over
Indian peninsula
Akshay : Correlating observations and conclusions with
global AAI data
References
http://disc.sci.gsfc.nasa.gov/
Global distribution of UV-absorbing aerosols
from Nimbus 7/TOMS data by J.R Herman and P.
K. Bhartia
http://earthobservatory.nasa.gov/
http://www.nasa.gov/centers/langley/news/fac
tsheets/Aerosols
Absorbing Aerosol Index and Aerosol
Characterization from UV-Visible satellite
instruments by Pepijn Veefkind et al
Long-range transport of aerosols from
agriculture crop residue burning in Indo-
Gangetic Plains—A study using LIDAR, ground
measurements and satellite data by K.V.S.
Badarinath et al.