Abstract—Air pollution is one of the most important factors
affecting the quality of life and the health of urban population.
Air pollution is a serious problem in all urban and semi-urban
areas in India. The air pollution in Chennai is high owing to
fact that due to tremendous increase in use of private, public
and personal vehicles. The Air Pollution has been up by many
folds causing damage to urban public health and properties.
Thus, it has become necessary to monitor the concentration of
Air Pollutants regularly to take appropriate decisions to
mitigate the same. This paper deals with the real time
monitoring of urban air pollutants using solid state gas sensors
with ARM module that connects the measured airpollution
levels to GIS, GPS and Internet so that the pollution levels shall
be known as and when required to deal with any unwarranted
situations.Also the data obtained in this process can be utilized
by Public, Government and Non-governmental organizations to
take appropriate decisionsin order to protect public health and
properties.
Index Terms—Air quality, GIS, GPS, sensors and internet.
I. INTRODUCTION
The effects of air pollution on public health are being felt
worldwide. Pollutants, such as particulates matters (PM10)
and Ozone; primarily resulting from emissions of oxides of
nitrogen (NOx) and hydrocarbons/air toxins (HC or VOCs),
destroy sensitive tissues (in people, animals and plants),
impair respiratory functions, degrade building materials and
deteriorate the aesthetic aspects of environment [1]. India is
facing a serious double burden problem of disease. For the
past couple of years people have been suffering from Dengue,
Chicken guniya and Flu fevers. At the same time, other
chronic non-communicable diseases such as cancer,
cardiovascular disease and respiratory disorders are
becoming more dominant. It is clear that the pattern of
economic growth that adopted by developing countries
increasingly associated with environmental pollution. Indian
cities are also being exposed to high levels of air pollution
and people living in cities are paying a price for the
deterioration in air quality. Air pollution is a serious problem
in thickly populated and industrialized areas in Chennai. The
air pollution in Chennai is abundant, especially in areas
where pollution sources and the human population are
concentrated. Furthermore, though the variety and quantities
of polluting sources have increased dramatically, the
development of a suitable method for monitoring the
Manuscript received June 06, 2012, revised June 30, 2012.
H. Prasad Raju and P. Partheeban are with the Department of Civil
Engineering, St. Peter’s University, Avadi, Chennai, India, (email:
[email protected]; [email protected]).
R. Rani Hemamalini is with the Department of ECE, St. Peter’s College
of Engineering and Technology, Avadi, Chennai, India, (email:
pollution causing sources has not followed at the same speed.
Economic growth and industrialization are proceeding at a
rapid pace, accompanied by increasing emissions of air
polluting sources.
Some of the main factors identified as reasons for
increasing vehicular pollution in the Indian mega-cities can
be put together as follows:
High volume of traffic and urban population
dynamics
Excessive increase in private / personal vehicles
Improper maintenance of vehicles
Growing traffic bottlenecks
Less Eco-friendly mode of transport and fuel
technologies
Lack of comprehensive fiscal strategies to check
the increase of private / personal vehicles
Urban environmental management addresses problems
that are spatially distributed as well as dynamic. The two
basic methods or paradigms addressing these dimensions are
data bases and geographical information systems (GIS) on
the one hand, and dynamic simulation models on the other [2].
To prevent or minimize the damage caused by atmospheric
pollution, suitable monitoring systems are urgently needed
that can rapidly and reliably detect and quantify polluting
sources for monitoring by regulating authorities in order to
prevent further deterioration of the current pollution levels.
So as to carry out urban mobile air pollution monitoring over
an extensive area, a combination of ground measurements
through sensors and wireless communication networks and
internet GIS was used for this purpose. This portable device,
comprising solid state gas sensors integrated to a Personal
Digital Assistant (PDA) linked through Bluetooth
communication tools and Global Positioning System (GPS)
allowed rapid dissemination of information on pollution
levels at multiple sites simultaneously. The Air Quality report
generated and published using Internet, GPS and GIS to
provide real-time information to the public and enhanced
public participation [3].
II. NEED FOR THE STUDY
In India, the number of motor vehicles has increased from
0.3 million in 1951 to 115 million in 2010. The number of
two wheelers registered has increased from 38.56 million in
2001 to 82.40 million in 2010 registering an increase of 114%
over the period, while the number of Light Motor Vehicles
(passengers) and Jeeps showed an impressive growth of 78%
and 46% respectively during the same period. The total
number of cars registered has increased from 5.30 million in
Urban Mobile Air Quality Monitoring Using GIS, GPS,
Sensors and Internet
H. Prasad Raju, P. Partheeban, and R. Rani Hemamalini
International Journal of Environmental Science and Development, Vol. 3, No. 4, August 2012
323
2001 to 12.37 million in 2010 which show a growth of 133%
during the period. In Chennai, Motor vehicle population has
increased at a phenomenal rate as an average 9.7% for the last
few decades from 87,000 (1984) to 20,38,875 (2008) [4].
Vehicular emissions are of particular concern since these are
ground level sources and thus have the maximum impact on
the general population. Also, vehicles contribute significantly
to the total air pollution load in many urban areas. Under the
National Ambient Air Quality Monitoring (NAAQM)
network, four air pollutants, namely SPM, CO, SO2 and NO2
have been identified for regular monitoring at all the 290
stations spread across the country. Out of which the entire
Chennai city has got only 6 ambient air quality monitoring
stations [5]. With this limited number of stations, to
represent the air quality in Chennai city spatially is difficult
task. Hence there is need for a co-ordinated methodology to
monitor air quality continuously and made available the same
data in real time for decision makers and public as well in
order to take necessary steps for mitigating pollution.
III. METHODOLOGY
In this study, three solid state gas sensors were used to
measure three gases namely CO, NO2 and SO2 are linked
with GPS through ARM processor [3]. The Chennai city map
was digitized with GIS and GPS by moving around the city
then the digitized map was fed into the internet. ARM
Processor is a type of processor which is used to link different
types of outputs. It also helps in uploading the linked data to
the internet. This ARM Processor and outputs devices are
collectively known as ARM Module. The above said three
sensors and GPS are linked through ARM module, then it is
fed into the server through laptop and then it is uploaded to
the internet. The Pollution data can be viewed through the
web page (www.airpollutioninfo.com). Hence the public can
view the level of pollution in a particular place in Chennai
using the website. Fig.1 shows the block diagram of the
working method of urban mobile air quality monitoring
system using Gas Sensors, GPS, GIS and Internet.
Fig.1. Block diagram of urban mobile air quality monitoring system
IV. EXPERIMENTAL INVESTIGATION
In this study, three important routes in Chennai were
selected based on the volume of traffic that will generate high
emission from the vehicles. Route 1: Avadi to Tambaram
(this route covers some of the important, official and
commercial areas of the city like Ambatur, Dunlop,
Koyembedu, Vadapalani, Udayam, Airport, etc,.) Route 2:
Kovalam to T. Nagar (This route covers tourists places like
MGM, VGP, KOVALAM, MAYAJAL etc,.) and Route 3:
Avadi to Chennai Central (this route covers all type land
uses namely Industrial, Educational, Residential, Official and
Recreational the areas covered are Ambatur, Annanagar,
Kilpauk and Chennai Central). These three routes on which
the air quality data collected is presented in Fig.2 and Arc
View GIS is used for this purpose [7]. The gas sensors and
GPS are fitted in car and same connected to a car battery for
power supply. The GPS unit and gas sensors are further
connected to ARM processor. The air pollution monitoring
survey is carried in the above said three routes in the
afternoon session the starting and ending time of survey was
kept same inorder to get same pattern of data.
Fig. 2. Study area showing the three routes
V. RESULTS AND DISCUSSIONS
Table I shows the AQI for priority pollutants as per United
States Environmental Protection Agency (USEPA) [8]. This
is the rating set by USEPA for determining ambient air
quality. The results of this research work and the ambient air
measurement will be compared with the USEPA ambient air
ratings obtained in the table. The ambient air pollutants
areclassified into categories ranging from very good to very
poor. From (0 – 15) AQI rating is A which is very good, (16 –
31) AQI is B which is good, (32 – 49) AQI is C which is
moderate, (50 – 99) AQI isD which is poor and (100 or above)
AQI is E which is very poor, showing critical values. The
above standards adopted in a study on Vehicular Emissions
and Air Quality Standards in Nigeria by Abam and
Unachukwu [6] and these standards are well fit with the
results of this study.
TABLE I: AIR QUALITY INDEX FOR PRIORITY POLLUTANTS
AQI Category CO (ppm) NO2 (ppm) SO2 (ppm)
Very good (0 -15) 0 – 2 0 – 0.02 0 – 0.02
Good (16 -31) 2.1 – 4.0 0.02 – 0.03 0.02 – 0.03
Moderate (32 – 49) 4.1 – 6.0 0.03 – 0.04 0.03 – 0.04
Poor (50 – 99) 6.1 – 9.0 0.04 – 0.06 0.04 – 0.06
Very Poor(100 or over) >9.0 >0.06 >0.06
On each route, one month data was collected and the
average values of CO concentration observed is presented in
Fig. 3 (Avadi to Tambaram), Fig.4 (Kovalam to T. Nagar)
and Fig. 5 (Avadi to Chennai Central). The concentration of
CO measured for the route Avadi to Tambaram is levels
varied from 0.1 to 5 ppm. It shows that the vehicle pollution
CO Sensor NO2 Sensor SO2 Sensor
ARM
Processor
GPS Module
PC GIS Internet
Online Air Quality to Public and
PCB
International Journal of Environmental Science and Development, Vol. 3, No. 4, August 2012
324
of CO is higher in this route. Similarly the concentration of
CO measured for the Route 2 and 3 the maximum and
minimum values are 0.1 to 6 ppm and 0.1 to 8 ppm
respectively. The concentration of CO in route 2 at
Saidapetlocation and Route 3 at Vappery and Chennai
Central Railway station was higher than USEPA ambient air
quality standards the reason is higher traffic levels. As per the
norms of Pollution Control Board (PCB), the CO level should
not exceed 8 ppm in industrial areas, 3.2 ppm in residential
areas and 1.6 ppm in sensitive areas. Thus, in all the three
routes measured CO concentrations are above the standards
of USEPA and PCB in important areas.
Fig. 3. Concentration of CO observed in route 1(Avadi to Tamabaram)
Fig. 4. Concentration of CO observed in route 2(Kovalam to T. Nagar)
Fig. 5. Concentration of CO observed in route 3 (Avadi to Chennai Central)
Fig. 6 to Fig. 8 shows the concentration of SO2 measured
for the Route 1 to 3 respectively. The concentration of SO2
measured for the route Avadi to Tambaram is levels varied
from 0.006 to 0.07 ppm. It shows that the vehicle pollution of
SO2 is higher in this route. Similarly the concentration of SO2
measured for the Route 2 and 3 the maximum and minimum
values are 0.004 to 0.044 ppm and 0.0069 to 0.045 ppm
respectively. The SO2 concentration at stations Ambattur
Estate, Chennai Central Railway Station and T. Nagar was
higher than the USEPA limit and nearly 40 percent of the
locations are within the boundary of USEPA ambient air
quality standards the reason could be nearing highway traffic
capacity level. As per the norms of PCB, the SO2level should
not exceed 0.037 ppm. Thus, in all the three routes measured
SO2concentrations are above the standards of USEPA and
PCB in important areas.
Fig. 6. Concentration of SO2 observed in route 1(Avadi to Tamabaram)
Fig. 7. Concentration of SO2 observed in route 2 (Kovalam to T. Nagar)
Fig. 8. Concentration of SO2 observed in route 3 (Avadi to Chennai Central)
Fig. 9 to Fig. 11 shows the concentration of NO2 measured
for the Route 1 to 3 respectively. The concentration of NO2
measured for the route Avadi to Tambaram is levels varied
from 0.036 to 0.47 ppm. It shows that the vehicle pollution of
NO2 is higher in this route. Similarly the concentration of
NO2 measured for the Route 2 and 3 the minimum and
maximum values are 0.035 to 0.45 ppm and 0.036 to 0.47
ppm respectively.The NO2 concentration at stations
Ambattur Estate, Chennai Central Railway Station, Gandhi
Nagar and T. Nagar was higher than the USEPA limit and
nearly 50 percent of the locations are higher than the
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325
boundary of USEPA ambient air quality standards the reason
could be nearing highway traffic capacity level. As per the
norms of PCB, the NO2level should not exceed 0.04 ppm.
Thus, in all the three routes measured NO2concentrations are
above the standards of USEPA and PCB in important areas.
Fig. 9. Concentration of NO2 observed in route 1 (Avadi to Tamabaram)
Fig. 10. Concentration of NO2 observed in route 2 (Kovalam to T. Nagar)
Fig. 11. Concentration of NO2 observed in route 3 (Avadi to Chennai
Central)
Hence the developed tool kit can be used for measuring
mobile emission and the kit can be used in other routes and
the pollution level through the internet can be made available
for public purposes. If the same system is implemented by
the government, it is easy for the public to know about
pollution levels particularly hazardous gas emission from the
industries. The following are the advantages:
1) Old methods are more time consuming.
2) Public can know the pollution data without any aid
of technical persons.
3) It is real-time based system when compared to
other methods.
4) It is useful for Pollution Control Board to view
pollution data and to rectify or take necessary steps
to control pollution.
5) It can be used to monitor industrial pollution by
placing near the chimneys and through virtual
control
6) It is cost effective compared to other methods
VI. CONCLUSIONS
Currentair quality is better than a decade ago. However,
Chennai still has been facing serious air pollution problems.
As seen in Chennai, black and white smoke from truck and
public buses exhaust still occurs. This is attributed to the
rapid economic and industrial growth, combined with a lack
of implementation of air quality and requires the PCB to
adapt or extend the current PCB’s air quality monitoring
systems and also facilitate the problem of analyzing and
monitoring air pollution in Chennai.
The traditional air quality monitoring system, controlled
by the PCB, is extremely expensive. Analytical measuring
equipment is costly and time consuming, and can seldom be
used for air quality reporting in real time. The PCB has been
forecasting and reporting real time air quality levels through
the Internet in the form of maps. However, the air quality
index of each monitoring site is just shown by rather coarse
levels; good, moderate, unhealthy, very unhealthy and
hazardous.
The air quality report should be more in detail, including
information such as air quality interpolated maps, relating to
other information for better understanding the air quality
level. For these reasons, this work is aimed to build up an
easy monitoring system using low cost portable gas sensing
systems ‘solid state gas sensors’ so as to carry out air
pollution monitoring over an extensive area and to be able to
report real time air quality data through Wireless Internet GIS.
To facilitate the problem of analyzing and monitoring air
pollution and also to assist in establishing priorities and
measurements of air pollution in the Chennai city this method
is proven to be much useful.
A. Future Scope of Study
In this study only one mobile setup is being made but this
can be extended to number of stations by buying more gas
sensors, and all the data’s from different stations can be
brought into a single receiver station and same can be
uploaded into the internet. This study can also be extended
for monitoring various industrial air pollutants and a
technical alert system can be setup for PCB to monitor major
industries causing pollution. This study may be extended
further for the following;
To monitor air pollution levels for different
environmental conditions.
To monitor pollution level from industrial chimneys
To monitor pollution level from industrial sewage
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Prof. H. Prasad Raju, presently working as Assoc.
Professor in the Department of Civil Engineering of
St. Peter’s University, Chennai, India, was graduated
in B.E. Civil Engineering in 1991 from Sardar
Vallabhai National Institute of Technology (formerly
known as Sardar Vallabhai Regional College of
Engineering & Technology, South Gujarat
University), Suratand completed M.E. Environmental
Engineering in 1995 from Government College of
Technology, Bharathiar University, Coimbatore. Now he is pursuing Ph.D.
from St. Peter’s University, Chennai. He has been serving various
institutions for the past 12 years at different levels, involved in teaching,
student counseling, and prepared lab manuals for Strength of Materials and
Fluid Mechanics and Machinery and established Survey Lab in Civil
Engineering department. He has 6 years industrial experience in the field of
Pollution Treatment and 2 years in Construction of buildings as well. He has
organized national conference and short term training programme for
students and faculties sponsored by CSIR, ICMR and AICTE. He has
published 6 papers in the national/international journals and conferences. He
has guided 30 students for project thesis in different areas of civil
engineering at undergraduate level. He is the member of IEI, ISTE and FIV.
Dr. P. Partheeban, is currently working as Professor
and Dean (Academic) at St. Peter’s College of
Engineering and Technology, Avadi, Chennai,
Tamilnadu, India. He has completed his B.E. Civil
Engineering in 1990 from Kongu Engineering College
and completed M.E. Urban Engineering from College
of Engineering, Anna University. He completed his
Ph.D. from National Institute of Technology, Trichy
on Transportation Engineering in 2003. He has been
serving different institutions for the past 20 years at various levels and
involved in teaching, student counseling and establishing of laboratories in
Civil Engineering Department. He has visited the United States of America,
Netherlands, United Kingdom, Malaysia, Singapore and China in connection
with presentation of papers in the international conference. Under his
guidance, one candidate has completed Ph.D. and six students are pursuing
Ph.D. in Civil Engineering. He has published a book titled “Engineering
Mechanics” for engineering students. As a teacher for engineering students,
received award from ISTE as best faculty teacher for the student chapter and
also received Air India BOLT award. To his credit he had organized 25
Seminars, Conferences and short term training programme for engineering
faculties sponsored by AICTE, DST, CSIR, DRDO and ICSSR. He had
published research work papers more than 55 in the national/international
journal and conferences. He has developed GIS software for Transportation
Planning and management.
Dr. R. Rani Hemamalini, has been serving in the
field of teaching for the past 20 years at various levels.
Presently she is working as a Professor and Head,
Department of Electrical and Electronics Engineering
at St. Peter’s College of Engineering and Technology,
Avadi, Chennai. Her area of research includes Process
controls and Instrumentation, Embedded System,
VLSI. She has been involved in establishing
laboratories in Electrical, Electronics, and
Instrumentation & Communication Engineering departments. She was
received Boyscast fellowship award from DST and also received Air India
BOLT (Broad Outlook Learned Teacher) award from Air India. She visited
United States of America, Singapore and China in connection with
presentation of papers in the international conferences through travel grants
received from AICTE, CICS and DST. Under her guidance 2 candidates
completed their Ph.D. and guiding 8 Ph.D. students presently. She carried
one DST sponsored project and two AICTE sponsored projects related to
control engineering with total cost of Rs.30 lakhs. She has published more
than 55 papers in the national/international journal and conferences. She is
member of the Institute of Engineers (India), ISA, ISTE and IEEE.
International Journal of Environmental Science and Development, Vol. 3, No. 4, August 2012
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