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P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30

RESEARCH ARTICLE

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OPEN ACCESS

Baseline Air Quality Monitoring For Palvoncha Thermal Power
Plant
P. Prasad Rao1, M. Anji Reddy2
1. Environmental Engineer APPCB, R.R dist
2. IST, JNTUH.
Corresponding Address: 201, SRUTHIRAAGA APTS, MOTHINAGAR, HYDERABAD.

Abstract
The paper describes the experience and results from three months of baseline air quality monitoring campaigns
in the Palvoncha city, Khammam District of Andhra Pradesh. Air quality measuring is still less experienced in
South India. In this study the air pollutants majorly concentrated. Air quality measurement of PM10, PM2.5, NOx
and SO2 concentrations has been done in several locations in Palvoncha.
Key words: Air pollution, Air quality monitoring.

I.

INTRODUCTION

The paper is an attempt to describe complex
problems concerning air quality in Palvoncha city of
Andhra Pradesh, in an Indian perspective. The town
is one of the most developed ones in Andhra Pradesh,
famous for its history and rapid progress into a
modern but traditional location of human
development [1]. Air pollution in a modern city has
became a serious environmental problem, because of
the combined effects of various pollutants upon the
physical and mental health of citizens and the quality
of urban life in general [2], [3], [4]. Urban air
pollutants arise from a wide variety of sources
although they are mainly a result of combustion
processes. Today, the largest source of pollution in
urban areas is the fleet of transportation (motor
vehicles), and to a lesser extent industry and
household. Traffic-generated pollutants include10
micron Particulate Matter (PM10), 2.5 micron
Particulate Matter (PM2.5), Nitrogen Oxides and
Sulfur Dioxide. On warm summer days the strong
sunlight leads to enhance to buildup of SOX and NOX
ozone through the oxidation of nitrates and sulfates.
Health impacts of vehicular exhaust pollutants are
well documented. Respirable particulate Matter
(RPM), or PM10, and gaseous pollutants such as
nitrogen oxides are known to have detrimental effects
on human health and the relationship between air
pollutants and health has been widely studied - an
increase in yearly average PM10 concentration
increases the number of respiratory hospital
admissions and the mortality rate [5]. There is also an
association between concentration of nitrogen
dioxide (NO2) and hospital admissions associated
with cardiovascular diseases. Nevertheless many
authors achieved research in the domain, for the
Balkan region especially [6], [7], [8]. Many cities set
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up fixed air quality monitoring stations to monitor the
air quality on a continuing basis and to measure
concentrations of major pollutants at roadside and
urban background locations. Many cities and
countries have also set short- and long-term air
quality objectives for acceptable, alert and limit
concentration levels of pollutants. Based on
observations made at monitoring stations, advisories
and warnings are issued when concentration of one or
more pollutants exceeds the values. The planning
authorities may also use measurements at background
monitoring stations to formulate pollution abatement
measures and to examine the effectiveness of these
measures. Long-term measurements at monitoring
stations may be used to investigate the relationship
between the population exposure to air pollutants and
the incidence rate of diseases [9], [10].
There are many ways to measure air
pollution, with both simple chemical and physical
methods and with more sophisticated electronic
techniques, in addition to modeling possibilities,
according special tailored programs, according
emission factors and pollutant inventory, for real or
probable meteorological conditions [9], [10], [11].
Passive sampling methods provide reliable, costeffective air quality analysis, which gives a good
indication of average pollution concentrations over a
period of weeks or months. Passive samplers are socalled because the device does not involve any
pumping. Instead the flow of air is controlled by a
physical process, such as diffusion. Active sampling
methods use physical or chemical methods to collect
polluted air, and analysis is carried out later in the
laboratory. Typically, a known volume of air is
pumped through a collector (such as a filter, or a
chemical solution) for a known period of time. The
collector is later removed for analysis. Automatic
22 | P a g e
P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30
methods produce high-resolution measurements of
hourly pollutant concentrations or better, at a single
point. Pollutants analyzed include Nitrogen oxides,
Sulfur dioxide, and Particulates. The samples are
analyzed using a variety of methods including
spectroscopy. The sample, once analyzed is
downloaded in real-time, providing very accurate
information. Remote optical, long path analyzers use
spectroscopic
techniques,
make
real-time
measurements of the concentrations of a range of
pollutants. The paper relates to the experience and
results from a range of over 90 days of air quality
monitoring campaigns in the Palvoncha of Andhra
Pradesh, achieved in special selected sites, for which
local concern and complain raised: cross roads,
industrial areas, and in parks. Research has been
carried out in order to detect the effects of the
principal polluting sources of the city, and to measure
their contribution to the general situation of the air
quality. The semi-mobile monitoring station was in
operation for a period of 3 months, beginning in
March 2013 and ending in May
2013. Air quality measuring is still less
experienced in South Asian countries. The APPCB
undertook on line experiments Near Thermal power
plant project proposed area, using measuring
methods, in accordance to the Central Pollution
Control Board (CPCB), but also remote controlled
open path techniques. The values measured may be
analyzed as scientific values for the monitoring
periods, on the specific locations, and may be used
scientifically to raise alert and interest of the local
community and inform the population. The
disadvantage of being fixed determines that they
measure only in the local area, and only if all are
functional in the entire city, might determine an
average attested value. If a particular episode or a
special site is of concern, only a mobile laboratory,
specialized and attested, might perform such relevant
data measuring, on line. Air pollutants and
meteorological parameters were measured. The ½h
mean value was preferred over the regulated 1h mean
value in order to capture high peaks of pollution, for
better identification of pollution sources and
influences. The comparison between measured values
and regulated admissible limit values was not a major
purpose of this study.
In Andhra Pradesh SO2 and NOx control
and air quality analysis have not a traditional
approach and presently efforts are notable, direct
from the ministry and authorities of resort, agencies,
but also independent laboratories, institutes and
industrial units.

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The SO2 and NOx monitoring equipment at sources is
expensive and available only in some major power
stations or main polluters, the control of the pollutant
emissions at the souse is presently achieved, on a
regular program, approved individually the
environmental agencies, through direct measurements
once per year or in best cases quarterly or monthly.

II.

EXPERIMENT

The presented air quality monitoring
campaign has been done in 2013 in several locations
in Palvoncha.

Figure 1. Location of the Proposed area
During the campaign PM10, PM 2.5, SO2
and NOX were measured. At the same time the traffic
structure has been establish and meteorological
parameters recorded (wind speed and direction, air
temperature and humidity). All equipments are
calibrated at the start of the campaigns with traceable
to NIST provided special calibration gases and under
strict EN ISO/CEN 17025:2005 quality control
specifications.
In figure 2 the conceptual scheme of the air
quality monitoring station is presented. All
instruments are programmed to measure the
pollutants concentration in air continuously, and the
output signal is collected and recorded by a data
acquisition PC board. All instruments are calibrated
with etalon gases, traceable to the station. The
monitoring station is equipped with a metrological
verified station and the values for wind speed and
direction, air temperature, pressure and humidity are
continuously measured and recorded.

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P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30

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Figure 2. The Schematics of the AQM Mobile Station.
The concentration in air of significant air
pollutants is regulated by CPCB directives. The limit
values (in reference to normal pressure and 20 °C) for
concentration of the pollutants measured are:
National Ambient Air Quality Standards
Averaging
Pollutant
Level Frequency
Period
150
PM-10
24-hours
4th high
ug/m3
35
98th
24-hours
ug/m3 percentile
PM-2.5
15.0
Annual
Annual
ug/m3 average
Sulfur dioxide
75
99th
1-hour
(SO2)
ppb
percentile
Nitrogen
100
98th
1-hour
dioxide (NO2)
ppb
percentile
0.075
Ozone
8-hour
4th high
ppm
35
Carbon
1-hour
2nd high
ppm
Monoxide
(CO)
8-hour
9 ppm 2nd high
0.15
Highest
Lead
3-months
ug/m3 average
2.1 Design Network for Ambient Air Quality
Monitoring Stations
The following criterion was taken into
account in the design of ambient air quality
monitoring network:

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The priority area for air monitoring/sampling was
identified by considering the predominant wind
direction and wind speed,
topography / terrain of the study area, density of
population within the region, residential and sensitive
areas. Meteorological data at the project site during
study period is an essential
requirement for proper interpretation for baseline air
quality status and same is also useful in prediction of
impacts through mathematical models.
2.2 Meteorology Station
Meteorological study is a crucial part in
Environmental Impact Assessment Study. In order to
assess the background environmental conditions a
weather monitoring station was installed at a height
of 3 m above the ground level in the project vicinity
for continuous recording of micro meteorological
parameters like wind speed, wind direction, cloud
cover, rainfall, air temperature and relative humidity.
This site is free from hindrance and open from all
direction. The collected meteorological data during
summer season were analyzed for hourly variation.
The following meteorological parameters were
recorded during the study period:
• Wind speed
• Wind direction
• Temperature
• Humidity
• Rainfall
• Cloud Cover

24 | P a g e
P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30
2.2.1. Temperature
Average temperature in the study area varied
between 17oC to 43oC during the study period. Mean
daily variation of maximum, minimum and average
temperature were recorded at site during March-May
2013.
2.2.2. Relative Humidity
Relative humidity in the study area was
found varied between 12 % to 91 %. Mean daily
variation of maximum, minimum and average
Humidity at site was also recorded.
2.2.3. Pressure
The air pressure in the study area was
observed to vary between 1001 hpa to 1016 hpa
during March-May 2013. Mean daily variation of
maximum, minimum and average Pressure at site was
recorded during study period.

Figure 3. Wind Rose Diagram of
March 2013

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2.2.4. Wind Speed
The wind speed in the study area was
observed between Calm to 13.61 m/s. The average
wind speed in the area was observed 2.54 m/s. Mean
daily variation of maximum, minimum and average
Wind speed at site was recorded during study period.
2.2.5. Wind Direction
From the wind rose diagram it is observed
that predominant wind direction is NW to SE and the
windrose diagram 3.1.
2.2.6. Rainfall
No rainfall observed in the study area during
the study period.
2.2.7. Cloud cover
In the study area, clear weather prevails in
most of the time during study period.

Figure 4. Wind Rose Diagram
of April 2013
2.3 One Season AAQ Data
Ambient air quality was monitored twice in
week for 24 hourly average basis as per standard
guidelines of CPPCB and NAAQS. The conventional
and project specific parameters such as PM 10 ,PPM
2.5 , Sulphur Dioxide (SO2 ), and oxides of nitrogen
(NOx), were monitored at different monitoring
location around 10 Km radius from the project site
during the study period.

Figure 5. Wind Rose Diagram of May 2013

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2.4 Air Monitoring Station
Overall 4 locations were identified for study
of air quality including a station near project site (salt
pan) and four in surrounding villages. A North West
and south west part of the study area is occupied by
mud flats and salt pans. No villages and habitation
observed in this portion of the study area.

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P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30

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Figure 6. Air sampling locations
Hence the monitoring locations of were
selected in the immediate surroundings villages of the
project site.
The air monitoring locations were also
selected considering the prevailing meteorological

condition in the study area, the nearby road networks.
The sampling station was placed at a height of
minimum 3 mm above the ground level. The air
monitoring locations are depicted on the study area
map as given below table.

Table 1. Air monitoring locations
Village
Lakshmidevi Temple
Palvoncha
Somulagudem

Direction
NE
SE
NE

Approx. Aerial Distance
1.75
1.88Km
3.39Km9+

Latitude
17 36’ 58”
170 37’ 23”
170 37’ 52”

Longitude
80 41’ 31”
800 42’ 30”
800 43’ 30 “

Rangapuram
Jagannatha Puram
Thodugudem
Punukula

EE
SE
SE
NW

2.3 Km
2.37Km
4.17
6.96 Km

170 37’ 34”
170 36’ 21”
170 35’ 15”
170 38’ 36”

800 45’ 44”
800 51’ 13”
800 44’ 55”
800 40’ 43”

III.

0

0

Method of Analysis

The different analysis method used for
different pollutants with the minimum detection limit
is given in the table below table 2.
Table 2: Analysis methods and Instrument details
Name Of
Monitoring
S. No
Parameter
Technique

Detection Limit

1

PM 10

IS 5182 (Pt 23)

4µg/m3

2

PM 2.5

IS 5182 (Pt 23)

2µg/m3

3

SO 2

4

NOx

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IS-5182(part 2):2001
EPA modified West
and Gaeke method
IS-5182(part 6):2006
Jacobs – Hochheiser
method – First
revision

0.5µg/m3

5.5µg/m3

Instrument Details
Respirable Dust sampler / Weigh
Balance
Fine Particulate sampler/ Weigh
Balance
Gaseous sampler attached with
Respirable Dust sampler Spectro
Photometer
Gaseous sampler attached with
Respirable Dust sampler / UV –
VIS Spectro Photometer

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P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30
IV.

Results and Discussion:

S.No.
1
2
3
4
5
6
7

The Ambient Air Quality monitoring
results are tabulated for the monitored locations
and presented in the following sections. The
observed 24-hour Minimum, Maximum and
average value of PM 10 , PM 2.5 SO2, NOx,
concentrations have been presented in table 3

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site
NearProject site
Location-1
Location-2
Location-3
Location-4
Location-5
Location-6

code
1
2
3
4
5
6
7

Table 3: Analysis methods and Instrument details
Parameter
s

Observe
d values

CPC
B
limits

SAMPLING LOCATIONS
NearProjec
t site

Locati
on-1

Locati
on-2

Location
-3

Locati
on-4

Locati
on-5

Locati
on-6

Min

47.0

54.8

49.0

51.0

Max

80.0

92.0

81.2

82.0

93.0

89.1

77.2

65.6

72.8

62.7

64.9

69.8

67.1

65.2

78.1

91.5

78.8

78.8

89.3

85.8

77.1

30.6

31.0

25.2

28.2

31.8

29.4

30.6

Max

48.0

53.8

47.1

49.2

55.8

53.5

46.3

38.6

42.7

36.9

38.2

41.0

39.5

38.3

46.2

52.8

46.4

46.5

52.8

51.5

45.4

10.5

14.7

14.6

14.6

16.2

15.8

14.8

Max

24.2

28.3

24.9

28.2

22.4

24.8

24.1

18.0

21.4

20.7

21.0

19.4

20.0

18.7

23.8

27.7

24.8

27.1

22.2

24.4

23.4

Min

6.8

7.9

7.6

8.3

6.2

7.8

7.2

Max

15.3

17.2

15.4

17.9

15.6

16.9

19.5

Avg
98
percentile

SO2

42.0

Avg
98
percentile

NOx

55.3

Avg
98
percentile
Min

PM2.5

51.0

Avg
98
percentile
Min

PM10

10.6

13.6

12.0

14.1

11.6

12.9

12.0

14.7

17.2

15.1

17.7

15.3

16.4

17.2

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100

60

80

80

27 | P a g e
P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30

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PM10
The peak PM10 24-hours average concentrations in the study area were observed in the range of 42.0 to
93.0μg/m3, with the average mean values in the range of 62.7to 69.8 μg/m3. At all locations air quality values
were lower than that of the NAAQ standard (100 μg/m3) (figure 7).

PM10 Level in Study Area
Concentration, µg/m3

100.0
80.0
60.0

Avg

40.0

Min
Max

20.0
0.0
0

1

2

3

4

5

6

7

8

Figure 7. Measured Ambient PM10 concentration (μg/m3)
PM2.5
The minimum and maximum value for PM2.5 was found between 25.2to 55.8µg/m3, with the average
values ranges between 36.9 to 42.7μg/m3 which is lower than that of the NAAQ standard (60 μg/m3) (figure 8).

Concentration( µg/m3)

PM2.5 Level in Study Area
60.0
50.0
40.0

Avg

30.0

Min

20.0

Max

10.0
0.0
0

1

2

3

4

5

6

7

8

Figure 8. Measured Ambient PM2.5 concentration (μg/m3)
NOx
The nitrogen oxide concentration in the study area varied between 10.5 to 28.3 µg/m3, with the mean values in
the range of 18.0 to 21.4μg/m3 which is lower than that of the NAAQ standard (80 μg/m3) (figure 9).

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P. Prasad Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30

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Concentration( µg/m3)

NOX Level in Study Area
30.0
25.0
20.0

Avg

15.0

Min

10.0

Max

5.0
0.0
0

1

2

3

4

5

6

7

8

Figure 9. Measured Ambient NOX concentration (μg/m3)
SO2
The maximum concentration of sulphur dioxide in the study area was observed as 19.5µg/m3
where as the minimum 6.2 µg/m3 and average value ranges between 10.6µg/m3 to 14.1 µg/m3
(figure 10).

SO2 Level in Study Area
Concentration( µg/m3)

25.0
20.0
15.0

Avg

10.0

Min

5.0

Max

0.0
0

2

4

6

8

Figure 9. Measured Ambient SO2 concentration (μg/m3)

V.

Conclusion

An air quality impact assessment has been
conducted for both construction and operational
phases of proposed thermal power plant in Andhra
Pradesh Reclamation Development Phase I. The
fugitive dust assessment for the construction has
concluded that watering in all works area during
working hours would be required to control the
fugitive dust impact. Potential dust impact would be
generated from the site clearance, ground excavation,
construction of the associated facilities and
transportation of soil during the construction phase.

[2]

[3]

References
[1]

F. Popescu, I. Ionel, C. Ungureanu, Ambient
air quality monitoring in Timisoara. Current
situation and perspectives, Journal of

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[4]

Environmental Protection and Ecology, Vol
10 (1), 1–13, 2009.
M. Apascaritei, F. Popescu, I. Ionel, Air
pollution level in urban region of Bucharest
and in rural region, SSE’09 Proceedings
11th WSEAS International Conference on
Sustainability in Science Engineering, 2009,
p. 330.
D. Patronas, A. Karida, A. Papadopoulou, A
Pisiha, K. Xipolitos, G. Kokkinis, K.
Vosnaikos, B. Grammatikis, F. Vosniakos,
K. Vasdekis, Air pollution and noise
pollution due to traffic in three Greek cities,
Journal of Environmental Protection and
Ecology, Year 2009, Book 2, p. 332.
I. HAIDUC, C. ROBA, L. BOBOS, L.
FECHETE-RADU.
Urban
aerosols
pollution. Case study – Cluj-Napoca city,
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[5]

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[8]

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Journal of Environmental Protection and
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M. Pavelescu, A. Pavelescu, A. Sandulescu,
Nuclear power and the environment, Rom.
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F. Vosniakos, J. Traiandafyllis, D. Prapas,
A. Karyda, P. Menyzelou, G. Vasilikiotis,
D. Karagiannis, P. Lazou, A. Papastamou,
K. Vosniakos, V. Argiriadis, Urban air
pollution due to vehicles in Katerini city on
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Environmental Protection and Ecology,
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K. Nikolaou, N. Papadakis, S. Basbas, P.
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  • 1. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 RESEARCH ARTICLE www.ijera.com OPEN ACCESS Baseline Air Quality Monitoring For Palvoncha Thermal Power Plant P. Prasad Rao1, M. Anji Reddy2 1. Environmental Engineer APPCB, R.R dist 2. IST, JNTUH. Corresponding Address: 201, SRUTHIRAAGA APTS, MOTHINAGAR, HYDERABAD. Abstract The paper describes the experience and results from three months of baseline air quality monitoring campaigns in the Palvoncha city, Khammam District of Andhra Pradesh. Air quality measuring is still less experienced in South India. In this study the air pollutants majorly concentrated. Air quality measurement of PM10, PM2.5, NOx and SO2 concentrations has been done in several locations in Palvoncha. Key words: Air pollution, Air quality monitoring. I. INTRODUCTION The paper is an attempt to describe complex problems concerning air quality in Palvoncha city of Andhra Pradesh, in an Indian perspective. The town is one of the most developed ones in Andhra Pradesh, famous for its history and rapid progress into a modern but traditional location of human development [1]. Air pollution in a modern city has became a serious environmental problem, because of the combined effects of various pollutants upon the physical and mental health of citizens and the quality of urban life in general [2], [3], [4]. Urban air pollutants arise from a wide variety of sources although they are mainly a result of combustion processes. Today, the largest source of pollution in urban areas is the fleet of transportation (motor vehicles), and to a lesser extent industry and household. Traffic-generated pollutants include10 micron Particulate Matter (PM10), 2.5 micron Particulate Matter (PM2.5), Nitrogen Oxides and Sulfur Dioxide. On warm summer days the strong sunlight leads to enhance to buildup of SOX and NOX ozone through the oxidation of nitrates and sulfates. Health impacts of vehicular exhaust pollutants are well documented. Respirable particulate Matter (RPM), or PM10, and gaseous pollutants such as nitrogen oxides are known to have detrimental effects on human health and the relationship between air pollutants and health has been widely studied - an increase in yearly average PM10 concentration increases the number of respiratory hospital admissions and the mortality rate [5]. There is also an association between concentration of nitrogen dioxide (NO2) and hospital admissions associated with cardiovascular diseases. Nevertheless many authors achieved research in the domain, for the Balkan region especially [6], [7], [8]. Many cities set www.ijera.com up fixed air quality monitoring stations to monitor the air quality on a continuing basis and to measure concentrations of major pollutants at roadside and urban background locations. Many cities and countries have also set short- and long-term air quality objectives for acceptable, alert and limit concentration levels of pollutants. Based on observations made at monitoring stations, advisories and warnings are issued when concentration of one or more pollutants exceeds the values. The planning authorities may also use measurements at background monitoring stations to formulate pollution abatement measures and to examine the effectiveness of these measures. Long-term measurements at monitoring stations may be used to investigate the relationship between the population exposure to air pollutants and the incidence rate of diseases [9], [10]. There are many ways to measure air pollution, with both simple chemical and physical methods and with more sophisticated electronic techniques, in addition to modeling possibilities, according special tailored programs, according emission factors and pollutant inventory, for real or probable meteorological conditions [9], [10], [11]. Passive sampling methods provide reliable, costeffective air quality analysis, which gives a good indication of average pollution concentrations over a period of weeks or months. Passive samplers are socalled because the device does not involve any pumping. Instead the flow of air is controlled by a physical process, such as diffusion. Active sampling methods use physical or chemical methods to collect polluted air, and analysis is carried out later in the laboratory. Typically, a known volume of air is pumped through a collector (such as a filter, or a chemical solution) for a known period of time. The collector is later removed for analysis. Automatic 22 | P a g e
  • 2. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 methods produce high-resolution measurements of hourly pollutant concentrations or better, at a single point. Pollutants analyzed include Nitrogen oxides, Sulfur dioxide, and Particulates. The samples are analyzed using a variety of methods including spectroscopy. The sample, once analyzed is downloaded in real-time, providing very accurate information. Remote optical, long path analyzers use spectroscopic techniques, make real-time measurements of the concentrations of a range of pollutants. The paper relates to the experience and results from a range of over 90 days of air quality monitoring campaigns in the Palvoncha of Andhra Pradesh, achieved in special selected sites, for which local concern and complain raised: cross roads, industrial areas, and in parks. Research has been carried out in order to detect the effects of the principal polluting sources of the city, and to measure their contribution to the general situation of the air quality. The semi-mobile monitoring station was in operation for a period of 3 months, beginning in March 2013 and ending in May 2013. Air quality measuring is still less experienced in South Asian countries. The APPCB undertook on line experiments Near Thermal power plant project proposed area, using measuring methods, in accordance to the Central Pollution Control Board (CPCB), but also remote controlled open path techniques. The values measured may be analyzed as scientific values for the monitoring periods, on the specific locations, and may be used scientifically to raise alert and interest of the local community and inform the population. The disadvantage of being fixed determines that they measure only in the local area, and only if all are functional in the entire city, might determine an average attested value. If a particular episode or a special site is of concern, only a mobile laboratory, specialized and attested, might perform such relevant data measuring, on line. Air pollutants and meteorological parameters were measured. The ½h mean value was preferred over the regulated 1h mean value in order to capture high peaks of pollution, for better identification of pollution sources and influences. The comparison between measured values and regulated admissible limit values was not a major purpose of this study. In Andhra Pradesh SO2 and NOx control and air quality analysis have not a traditional approach and presently efforts are notable, direct from the ministry and authorities of resort, agencies, but also independent laboratories, institutes and industrial units. www.ijera.com www.ijera.com The SO2 and NOx monitoring equipment at sources is expensive and available only in some major power stations or main polluters, the control of the pollutant emissions at the souse is presently achieved, on a regular program, approved individually the environmental agencies, through direct measurements once per year or in best cases quarterly or monthly. II. EXPERIMENT The presented air quality monitoring campaign has been done in 2013 in several locations in Palvoncha. Figure 1. Location of the Proposed area During the campaign PM10, PM 2.5, SO2 and NOX were measured. At the same time the traffic structure has been establish and meteorological parameters recorded (wind speed and direction, air temperature and humidity). All equipments are calibrated at the start of the campaigns with traceable to NIST provided special calibration gases and under strict EN ISO/CEN 17025:2005 quality control specifications. In figure 2 the conceptual scheme of the air quality monitoring station is presented. All instruments are programmed to measure the pollutants concentration in air continuously, and the output signal is collected and recorded by a data acquisition PC board. All instruments are calibrated with etalon gases, traceable to the station. The monitoring station is equipped with a metrological verified station and the values for wind speed and direction, air temperature, pressure and humidity are continuously measured and recorded. 23 | P a g e
  • 3. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 www.ijera.com Figure 2. The Schematics of the AQM Mobile Station. The concentration in air of significant air pollutants is regulated by CPCB directives. The limit values (in reference to normal pressure and 20 °C) for concentration of the pollutants measured are: National Ambient Air Quality Standards Averaging Pollutant Level Frequency Period 150 PM-10 24-hours 4th high ug/m3 35 98th 24-hours ug/m3 percentile PM-2.5 15.0 Annual Annual ug/m3 average Sulfur dioxide 75 99th 1-hour (SO2) ppb percentile Nitrogen 100 98th 1-hour dioxide (NO2) ppb percentile 0.075 Ozone 8-hour 4th high ppm 35 Carbon 1-hour 2nd high ppm Monoxide (CO) 8-hour 9 ppm 2nd high 0.15 Highest Lead 3-months ug/m3 average 2.1 Design Network for Ambient Air Quality Monitoring Stations The following criterion was taken into account in the design of ambient air quality monitoring network: www.ijera.com The priority area for air monitoring/sampling was identified by considering the predominant wind direction and wind speed, topography / terrain of the study area, density of population within the region, residential and sensitive areas. Meteorological data at the project site during study period is an essential requirement for proper interpretation for baseline air quality status and same is also useful in prediction of impacts through mathematical models. 2.2 Meteorology Station Meteorological study is a crucial part in Environmental Impact Assessment Study. In order to assess the background environmental conditions a weather monitoring station was installed at a height of 3 m above the ground level in the project vicinity for continuous recording of micro meteorological parameters like wind speed, wind direction, cloud cover, rainfall, air temperature and relative humidity. This site is free from hindrance and open from all direction. The collected meteorological data during summer season were analyzed for hourly variation. The following meteorological parameters were recorded during the study period: • Wind speed • Wind direction • Temperature • Humidity • Rainfall • Cloud Cover 24 | P a g e
  • 4. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 2.2.1. Temperature Average temperature in the study area varied between 17oC to 43oC during the study period. Mean daily variation of maximum, minimum and average temperature were recorded at site during March-May 2013. 2.2.2. Relative Humidity Relative humidity in the study area was found varied between 12 % to 91 %. Mean daily variation of maximum, minimum and average Humidity at site was also recorded. 2.2.3. Pressure The air pressure in the study area was observed to vary between 1001 hpa to 1016 hpa during March-May 2013. Mean daily variation of maximum, minimum and average Pressure at site was recorded during study period. Figure 3. Wind Rose Diagram of March 2013 www.ijera.com 2.2.4. Wind Speed The wind speed in the study area was observed between Calm to 13.61 m/s. The average wind speed in the area was observed 2.54 m/s. Mean daily variation of maximum, minimum and average Wind speed at site was recorded during study period. 2.2.5. Wind Direction From the wind rose diagram it is observed that predominant wind direction is NW to SE and the windrose diagram 3.1. 2.2.6. Rainfall No rainfall observed in the study area during the study period. 2.2.7. Cloud cover In the study area, clear weather prevails in most of the time during study period. Figure 4. Wind Rose Diagram of April 2013 2.3 One Season AAQ Data Ambient air quality was monitored twice in week for 24 hourly average basis as per standard guidelines of CPPCB and NAAQS. The conventional and project specific parameters such as PM 10 ,PPM 2.5 , Sulphur Dioxide (SO2 ), and oxides of nitrogen (NOx), were monitored at different monitoring location around 10 Km radius from the project site during the study period. Figure 5. Wind Rose Diagram of May 2013 www.ijera.com 2.4 Air Monitoring Station Overall 4 locations were identified for study of air quality including a station near project site (salt pan) and four in surrounding villages. A North West and south west part of the study area is occupied by mud flats and salt pans. No villages and habitation observed in this portion of the study area. 25 | P a g e
  • 5. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 www.ijera.com Figure 6. Air sampling locations Hence the monitoring locations of were selected in the immediate surroundings villages of the project site. The air monitoring locations were also selected considering the prevailing meteorological condition in the study area, the nearby road networks. The sampling station was placed at a height of minimum 3 mm above the ground level. The air monitoring locations are depicted on the study area map as given below table. Table 1. Air monitoring locations Village Lakshmidevi Temple Palvoncha Somulagudem Direction NE SE NE Approx. Aerial Distance 1.75 1.88Km 3.39Km9+ Latitude 17 36’ 58” 170 37’ 23” 170 37’ 52” Longitude 80 41’ 31” 800 42’ 30” 800 43’ 30 “ Rangapuram Jagannatha Puram Thodugudem Punukula EE SE SE NW 2.3 Km 2.37Km 4.17 6.96 Km 170 37’ 34” 170 36’ 21” 170 35’ 15” 170 38’ 36” 800 45’ 44” 800 51’ 13” 800 44’ 55” 800 40’ 43” III. 0 0 Method of Analysis The different analysis method used for different pollutants with the minimum detection limit is given in the table below table 2. Table 2: Analysis methods and Instrument details Name Of Monitoring S. No Parameter Technique Detection Limit 1 PM 10 IS 5182 (Pt 23) 4µg/m3 2 PM 2.5 IS 5182 (Pt 23) 2µg/m3 3 SO 2 4 NOx www.ijera.com IS-5182(part 2):2001 EPA modified West and Gaeke method IS-5182(part 6):2006 Jacobs – Hochheiser method – First revision 0.5µg/m3 5.5µg/m3 Instrument Details Respirable Dust sampler / Weigh Balance Fine Particulate sampler/ Weigh Balance Gaseous sampler attached with Respirable Dust sampler Spectro Photometer Gaseous sampler attached with Respirable Dust sampler / UV – VIS Spectro Photometer 26 | P a g e
  • 6. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 IV. Results and Discussion: S.No. 1 2 3 4 5 6 7 The Ambient Air Quality monitoring results are tabulated for the monitored locations and presented in the following sections. The observed 24-hour Minimum, Maximum and average value of PM 10 , PM 2.5 SO2, NOx, concentrations have been presented in table 3 www.ijera.com site NearProject site Location-1 Location-2 Location-3 Location-4 Location-5 Location-6 code 1 2 3 4 5 6 7 Table 3: Analysis methods and Instrument details Parameter s Observe d values CPC B limits SAMPLING LOCATIONS NearProjec t site Locati on-1 Locati on-2 Location -3 Locati on-4 Locati on-5 Locati on-6 Min 47.0 54.8 49.0 51.0 Max 80.0 92.0 81.2 82.0 93.0 89.1 77.2 65.6 72.8 62.7 64.9 69.8 67.1 65.2 78.1 91.5 78.8 78.8 89.3 85.8 77.1 30.6 31.0 25.2 28.2 31.8 29.4 30.6 Max 48.0 53.8 47.1 49.2 55.8 53.5 46.3 38.6 42.7 36.9 38.2 41.0 39.5 38.3 46.2 52.8 46.4 46.5 52.8 51.5 45.4 10.5 14.7 14.6 14.6 16.2 15.8 14.8 Max 24.2 28.3 24.9 28.2 22.4 24.8 24.1 18.0 21.4 20.7 21.0 19.4 20.0 18.7 23.8 27.7 24.8 27.1 22.2 24.4 23.4 Min 6.8 7.9 7.6 8.3 6.2 7.8 7.2 Max 15.3 17.2 15.4 17.9 15.6 16.9 19.5 Avg 98 percentile SO2 42.0 Avg 98 percentile NOx 55.3 Avg 98 percentile Min PM2.5 51.0 Avg 98 percentile Min PM10 10.6 13.6 12.0 14.1 11.6 12.9 12.0 14.7 17.2 15.1 17.7 15.3 16.4 17.2 www.ijera.com 100 60 80 80 27 | P a g e
  • 7. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 www.ijera.com PM10 The peak PM10 24-hours average concentrations in the study area were observed in the range of 42.0 to 93.0μg/m3, with the average mean values in the range of 62.7to 69.8 μg/m3. At all locations air quality values were lower than that of the NAAQ standard (100 μg/m3) (figure 7). PM10 Level in Study Area Concentration, µg/m3 100.0 80.0 60.0 Avg 40.0 Min Max 20.0 0.0 0 1 2 3 4 5 6 7 8 Figure 7. Measured Ambient PM10 concentration (μg/m3) PM2.5 The minimum and maximum value for PM2.5 was found between 25.2to 55.8µg/m3, with the average values ranges between 36.9 to 42.7μg/m3 which is lower than that of the NAAQ standard (60 μg/m3) (figure 8). Concentration( µg/m3) PM2.5 Level in Study Area 60.0 50.0 40.0 Avg 30.0 Min 20.0 Max 10.0 0.0 0 1 2 3 4 5 6 7 8 Figure 8. Measured Ambient PM2.5 concentration (μg/m3) NOx The nitrogen oxide concentration in the study area varied between 10.5 to 28.3 µg/m3, with the mean values in the range of 18.0 to 21.4μg/m3 which is lower than that of the NAAQ standard (80 μg/m3) (figure 9). www.ijera.com 28 | P a g e
  • 8. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 www.ijera.com Concentration( µg/m3) NOX Level in Study Area 30.0 25.0 20.0 Avg 15.0 Min 10.0 Max 5.0 0.0 0 1 2 3 4 5 6 7 8 Figure 9. Measured Ambient NOX concentration (μg/m3) SO2 The maximum concentration of sulphur dioxide in the study area was observed as 19.5µg/m3 where as the minimum 6.2 µg/m3 and average value ranges between 10.6µg/m3 to 14.1 µg/m3 (figure 10). SO2 Level in Study Area Concentration( µg/m3) 25.0 20.0 15.0 Avg 10.0 Min 5.0 Max 0.0 0 2 4 6 8 Figure 9. Measured Ambient SO2 concentration (μg/m3) V. Conclusion An air quality impact assessment has been conducted for both construction and operational phases of proposed thermal power plant in Andhra Pradesh Reclamation Development Phase I. The fugitive dust assessment for the construction has concluded that watering in all works area during working hours would be required to control the fugitive dust impact. Potential dust impact would be generated from the site clearance, ground excavation, construction of the associated facilities and transportation of soil during the construction phase. [2] [3] References [1] F. Popescu, I. Ionel, C. Ungureanu, Ambient air quality monitoring in Timisoara. Current situation and perspectives, Journal of www.ijera.com [4] Environmental Protection and Ecology, Vol 10 (1), 1–13, 2009. M. Apascaritei, F. Popescu, I. Ionel, Air pollution level in urban region of Bucharest and in rural region, SSE’09 Proceedings 11th WSEAS International Conference on Sustainability in Science Engineering, 2009, p. 330. D. Patronas, A. Karida, A. Papadopoulou, A Pisiha, K. Xipolitos, G. Kokkinis, K. Vosnaikos, B. Grammatikis, F. Vosniakos, K. Vasdekis, Air pollution and noise pollution due to traffic in three Greek cities, Journal of Environmental Protection and Ecology, Year 2009, Book 2, p. 332. I. HAIDUC, C. ROBA, L. BOBOS, L. FECHETE-RADU. Urban aerosols pollution. Case study – Cluj-Napoca city, 29 | P a g e
  • 9. P. Prasad Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), January 2014, pp.22-30 [5] [6] [7] [8] [9] [10] [11] www.ijera.com Journal of Environmental Protection and Ecology, Year 2009, Book 3, p. 611. M. Pavelescu, A. Pavelescu, A. Sandulescu, Nuclear power and the environment, Rom. Journ. Phys., Vol. 50, Nos. 5–6, P.473–491, 2005. F. Vosniakos, J. Traiandafyllis, D. Prapas, A. Karyda, P. Menyzelou, G. Vasilikiotis, D. Karagiannis, P. Lazou, A. Papastamou, K. Vosniakos, V. Argiriadis, Urban air pollution due to vehicles in Katerini city on comparison basis (1999-2006), Journal of Environmental Protection and Ecology, Year 2008, Book 3, p. 485. K. Nikolaou, N. Papadakis, S. Basbas, P. Ermidis, P. Spyroglou, P. Dimou, Spatial and temporal variation of air quality in Greek cities, Journal of Environmental Protection and Ecology, 2008, Book 3, p. 494. M. Kochubovshi, J. Janevski, M. Dimovska, P. Simjanoski, V. Ristova, Monitoring of the ambient air quality in Skopje and Veles and evaluation of the health effects in 19902006, Journal of Environmental Protection and Ecology, 2008, Book 4, p. 743. D. Nicolae, C.P. Cristescu, Laser remote sensing of tropospheric aerosol, Journ. Optoelectron. Adv. Mater., 8 (5), 1781– 1795, ISSN 1454–4164, 2006. D. Nicolae, C. Talianu, E. Carstea, C. Radu, Using classification to derive aerosol number density from lidar measurements, Journ. Optoelectron. Adv. Mater. 9 (11), p. 3518. I. Ionel, S. Ionel, F. Popescu, G. Padure, L.I. Dungan, D. Bisorca, Method for determination of an emission factor for a surface source, Optoelectronics and Advance Materials – Rapid Communication Journal, Vol 2 (12), 2008, p. 851. www.ijera.com 30 | P a g e