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Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80
www.ijera.com 78 | P a g e
Simulation of Height of Stack Pile using SCREEN3 module for
Particulate Matter Pollutants
Modi Musalaiah1
Venkata Ramachandra P2
Sk Liyakhath Ahmed3
Abstract:
This study is regarding the air pollution in selected areas near to port (beside stack yards of port) interested in
particulate matter pollution. In this study, the amount of air pollution due to particulates is analyzed. The
amount of air pollution is estimated using SCREEN 3 Methodology. In this study, SCREEN 3 methodology is a
predefined software tool which can be used to estimate particulate matter pollution levels at different source
release heights, terrain heights and at particular receptor height. The results obtained are reported and finally
concluded that to avoid the pollution in the selected area, it is better to construct a periphery along the sides of
stack yard (source of pollution).
Key Words: Pollution, Particulate Matter, Stack Pile, SCREEN3, Receptor Height and Terrain Height.
I. Introduction
Environmental pollution is any discharge of
material or energy into water, land, or air that causes
or may cause acute (short-term) or chronic (long-
term) detriment to the Earth's ecological balance or
that lowers the quality of life. Pollutants may cause
primary damage, with direct identifiable impact on
the environment, or secondary damage in the form
of minor perturbations in the delicate balance of the
biological food web that are detectable only over
long time periods[1]. The word ‘Pollution’ has been
derived from a Latin word, 'pollutionem,' which
means to make dirty. Pollution causes imbalance in
the environment. This imbalance has threatened the
every survival of life. It is a threat to the whole
world. The increase in pollution has resulted in
global warming. Global warming is an average
increase in the Earth's temperature due to
greenhouse effect as a result of both natural and
human activity [2]. Particulate Matter, are tiny
pieces of solid or liquid matter associated with the
Earth's atmosphere. They are suspended in the
atmosphere as atmospheric aerosol, a term which
refers to the particulate/air mixture, as opposed to
the particulate matter alone. However, it is common
to use the term aerosol to refer to the particulate
component alone [3 - 5].
Generally the dumping of bulk cargo like iron
ore, coal, alumina which is transported to the stack
yard from the ships by using trucks and lorry’s can
be done is of the form of stack pile. The dust
particles liberated from these stack piles can be
classified based on the size of the particles
(Respirable suspended particulate matter RSPM –
PM2.5 & Total suspended particulate matter TSPM –
PM10 in microns according to NAAQ) [6].
This paper contains, simulation of height of the
stack pile for the pollutants RSPM & TSPM at a
particular receptor height and different terrain
heights using SCREEN3.
II. Materials and Methods
The SCREEN (Screening Version of Industrial
Source Complex Model 3) module was developed to
provide an easy to use method of obtaining pollutant
concentration estimates. These estimates are based
on the document "Screening Procedures for
Estimating the Air Quality Impact of Stationary
Sources (EPA 1995)”. SCREEN3 (version3) module
can estimate the maximum Ground Level
Concentrations (GLC) and the distance to the
maximum GLC. SCREEN3 module software can be
used for Point, Flare, Area and Volume source.
SCREEN runs interactively on the PC, meaning
that the program asks the user a series of questions
in order to obtain the necessary input data, and to
determine which options to exercise. SCREEN can
perform all of the single source, short-term
calculations in the screening procedures document,
including estimating maximum ground level
concentrations and the distance to the maximum,
incorporating the effects of building downwash on
the maximum concentrations for both the near wake
and far wake regions, estimating concentrations in
the cavity recirculation zone, estimating
concentrations due to inversion break-up and
shoreline fumigation, and determining plume rise for
flare releases. The model can incorporate the effects
of simple elevated terrain on maximum
concentrations and can also estimate 24-hour
average concentrations due to plume impaction in
complex terrain using the VALLEY model 24-hour
screening procedure. The SCREEN module can also
be used to model the effects of simple volume
RESEARCH ARTICLE OPEN ACCESS
Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80
www.ijera.com 79 | P a g e
sources using a virtual point source procedure. The
SCREEN module can also calculate the maximum
concentration at any number of user-specified
distances in flat or elevated simple terrain, including
distances out to 100km for long-range transport.
This model can incorporate the effects of simple
flat terrain and elevated terrain on maximum
concentrations and can also estimate 24 hour
average concentration due to impaction for a flat
terrain (0 meters above the base/ground) and an
elevated terrain (2 meters above the base/ground).
The SCREEN3 simulate by using Guassian plume
model.
The Gaussian models are the most common
mathematical models used for air dispersion. They
are based upon the assumption that the pollutant will
disperse according to the normal statistical
distribution. Gaussian distribution equation is given
by [7],
C 𝑥, 𝑦, 𝑧 = 𝑄/2𝜋𝑢𝜎 𝑦 𝜎z {exp [− (𝑧−h)2
/2𝜎z
2
]+𝑒𝑥𝑝[ –( 𝑧
+h)2
/2𝜎z
2
]}{exp (− 𝑦) 2
/2𝜎 𝑦
2
}
The schematic representation of guassian plume
model can be shown in Figure 1.
Figure.1 Schematic Representation of Gaussian
Plume
The Gaussian distribution determines the size of
the plume downwind from the source. A schematic
representation of the Gaussian Plume is shown in
Figure 3.1. The plume size is dependent on the
stability of the atmosphere and the dispersion of the
plume in the horizontal and vertical directions.
These horizontal and vertical dispersion coefficients
(σy and σz respectively) are merely the standard
deviation from normal on the Gaussian distribution
curve in the y and z directions. These dispersion
coefficients, σy and σz, are functions of wind speed,
cloud cover, and surface heating by the sun. The
Gaussian distribution requires that the material in the
plume be maintained [8].
In order for a plume to be modelled using the
Gaussian distribution, the following assumptions
must be made:
I. The plume spread has a normal
distribution
II. The emission rate (Q) is constant and
continuous
III. Wind speed and direction is uniform
IV. Total reflection of the plume takes
place at the surface
III. Results and Discussions
The average pollutants concentrations are
measured in the stack yards (on yearly average
basis) of ports which are present in the urban areas
of cities is 109.1 & 103.3 µg/m3
for RSPM at flat
terrain and elevated terrain respectively, and for
TSPM is 307.6 & 291.6 µg/m3
at flat terrain and
elevated terrain respectively. The volume source of
stack pile having dimensions – source release height
of 6m, the initial lateral & vertical dimensions of
25m & 4m at a particular receptor height of 15m
above ground under full meteorology conditions.
With reference to the above data, the SCREEN3
module programme has been run by varying the
heights of source from 4m to 10m with an interval of
2m, for the terrain heights of 0m (flat terrain) and
2m (elevated terrain) above the base/ground for both
the pollutants RSPM & TSPM. The SCREEN3
module program results given in the Table 1.
Table 1. Concentration Values of Pollutants for
Different Source Release Heights at a Receptor
Height of 15m for Flat and Elevated Terrains
Source
release
height,
m
Flat Terrain Elevated Terrain
Concentration
of RSPM,
µg/m3
Concentration
of TSPM,
µg/m3
Concentration
of RSPM,
µg/m3
Concentration
of TSPM,
µg/m3
4 103.4 291.6 100.8 284.2
6 109.1 307.6 103.3 291.6
8 115.7 326.1 109.1 307.6
10 121.8 343.4 115.7 326.1
The concentrations of pollutants (RSPM &
TSPM) are plotted against source release height for
flat and elevated terrains are shown in Figures 2 & 3.
It is observed from the graph that a decrease in the
Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80
www.ijera.com 80 | P a g e
pollutant concentration with a decrease in the source
release height for both the cases. There is a small
difference in the concentration of pollutants, which
is due to the nature of the Terrain. This decrement
occurs at an Elevation Terrain which acts as
Effective Stack Height.
Source Release Height, m
3 4 5 6 7 8 9 10 11
ConcentrationofPollutants,µg/m3
50
100
150
200
250
300
350
400
RSPM
TSPM
Figure 2. Concentration Profiles of RSPM & TSPM
at Different Source Release Heights at a Receptor
Height of 15m for a Flat Terrain
Source Release Height, m
3 4 5 6 7 8 9 10 11
ConcentrationofPollutants,µg/m3
50
100
150
200
250
300
350
RSPM
TSPM
Figure 3. Concentration Profiles of RSPM & TSPM
at Different Source Release Heights at a Receptor
Height of 15m for an Elevated Terrain
IV. Conclusions
The pollutants (RSPM & TSPM)
concentration data were analyzed at the stack
yards of the port. Meanwhile, other parameter
like source release height, receptor height and
terrain height were also considered to calculate
the concentrations of pollutants at different
levels by using SCREEN3 module. Based on
the SCREEN3 module simulation of source
release heights, it is found that the concentration
of pollutants increased with the source release
height at receptor height of 15m for both the
terrains so, it is better to construct a periphery
along the sides of stack yard up to receptor level
to reduce the pollutants concentration on the
surrounding places.
References
[1.] Weaver D and Villard R, (2007) Hubble News
Center
[2.] Seinfeld John and Spyros Pandis (1998)
Atmospheric Chemistry and Physics: From Air
Pollution to Climate Change. John Wiley & Sons,
(97).
[3.] A report on the environmental effects of dust
from surface mineral working, by Department of
the Environment Minerals Division, London.
[4.] Seinfeld John and Spyros Pandis (1998)
Atmospheric Chemistry and Physics: From Air
Pollution to Climate Change. John Wiley & Sons,
(97).
[5.] Mary Hardin and Ralph Kahn, A report on
Aerosols and climate change
[6.] Akbar Ziauddin, A report on mapping of
particulate and gaseous pollutants trends in
rapidly growing urban environment of
Visakhapatnam city using a GIS-Based
methodology.
[7.] Jineshvora, Dust dispersion modeling for
opencast mines.
[8.] Trivedi R, Chakraborty M K and Tewary B K,
2009. Dust dispersion modeling using fugitive
dust model at an opencast coal project of Western
coalfields limited, India. Journal of Scientific &
Industrial Research, Vol. 68 (71 – 78).
[9.] Trivedi R and Chakraborty M K, 2008. Dust
generation and its dispersion due to mining
activities in Durgapur open cast coal project of
Westren coal field limited – A Case Study. The
Indian Mining & Engineering Journal, (24 – 31).
[10.] Reed W R, 2004. A report on Performance
evaluation of a dust dispersion model for haul
trucks.
[11.] Panda B K and Panda C R, 2011, A report on
Estimation of ambient air quality status in
Kalinga Nagar industrial complex in the district
of Jajpur of Odisha.

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Simulation of Height of Stack Pile using SCREEN3 module for Particulate Matter Pollutants

  • 1. Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80 www.ijera.com 78 | P a g e Simulation of Height of Stack Pile using SCREEN3 module for Particulate Matter Pollutants Modi Musalaiah1 Venkata Ramachandra P2 Sk Liyakhath Ahmed3 Abstract: This study is regarding the air pollution in selected areas near to port (beside stack yards of port) interested in particulate matter pollution. In this study, the amount of air pollution due to particulates is analyzed. The amount of air pollution is estimated using SCREEN 3 Methodology. In this study, SCREEN 3 methodology is a predefined software tool which can be used to estimate particulate matter pollution levels at different source release heights, terrain heights and at particular receptor height. The results obtained are reported and finally concluded that to avoid the pollution in the selected area, it is better to construct a periphery along the sides of stack yard (source of pollution). Key Words: Pollution, Particulate Matter, Stack Pile, SCREEN3, Receptor Height and Terrain Height. I. Introduction Environmental pollution is any discharge of material or energy into water, land, or air that causes or may cause acute (short-term) or chronic (long- term) detriment to the Earth's ecological balance or that lowers the quality of life. Pollutants may cause primary damage, with direct identifiable impact on the environment, or secondary damage in the form of minor perturbations in the delicate balance of the biological food web that are detectable only over long time periods[1]. The word ‘Pollution’ has been derived from a Latin word, 'pollutionem,' which means to make dirty. Pollution causes imbalance in the environment. This imbalance has threatened the every survival of life. It is a threat to the whole world. The increase in pollution has resulted in global warming. Global warming is an average increase in the Earth's temperature due to greenhouse effect as a result of both natural and human activity [2]. Particulate Matter, are tiny pieces of solid or liquid matter associated with the Earth's atmosphere. They are suspended in the atmosphere as atmospheric aerosol, a term which refers to the particulate/air mixture, as opposed to the particulate matter alone. However, it is common to use the term aerosol to refer to the particulate component alone [3 - 5]. Generally the dumping of bulk cargo like iron ore, coal, alumina which is transported to the stack yard from the ships by using trucks and lorry’s can be done is of the form of stack pile. The dust particles liberated from these stack piles can be classified based on the size of the particles (Respirable suspended particulate matter RSPM – PM2.5 & Total suspended particulate matter TSPM – PM10 in microns according to NAAQ) [6]. This paper contains, simulation of height of the stack pile for the pollutants RSPM & TSPM at a particular receptor height and different terrain heights using SCREEN3. II. Materials and Methods The SCREEN (Screening Version of Industrial Source Complex Model 3) module was developed to provide an easy to use method of obtaining pollutant concentration estimates. These estimates are based on the document "Screening Procedures for Estimating the Air Quality Impact of Stationary Sources (EPA 1995)”. SCREEN3 (version3) module can estimate the maximum Ground Level Concentrations (GLC) and the distance to the maximum GLC. SCREEN3 module software can be used for Point, Flare, Area and Volume source. SCREEN runs interactively on the PC, meaning that the program asks the user a series of questions in order to obtain the necessary input data, and to determine which options to exercise. SCREEN can perform all of the single source, short-term calculations in the screening procedures document, including estimating maximum ground level concentrations and the distance to the maximum, incorporating the effects of building downwash on the maximum concentrations for both the near wake and far wake regions, estimating concentrations in the cavity recirculation zone, estimating concentrations due to inversion break-up and shoreline fumigation, and determining plume rise for flare releases. The model can incorporate the effects of simple elevated terrain on maximum concentrations and can also estimate 24-hour average concentrations due to plume impaction in complex terrain using the VALLEY model 24-hour screening procedure. The SCREEN module can also be used to model the effects of simple volume RESEARCH ARTICLE OPEN ACCESS
  • 2. Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80 www.ijera.com 79 | P a g e sources using a virtual point source procedure. The SCREEN module can also calculate the maximum concentration at any number of user-specified distances in flat or elevated simple terrain, including distances out to 100km for long-range transport. This model can incorporate the effects of simple flat terrain and elevated terrain on maximum concentrations and can also estimate 24 hour average concentration due to impaction for a flat terrain (0 meters above the base/ground) and an elevated terrain (2 meters above the base/ground). The SCREEN3 simulate by using Guassian plume model. The Gaussian models are the most common mathematical models used for air dispersion. They are based upon the assumption that the pollutant will disperse according to the normal statistical distribution. Gaussian distribution equation is given by [7], C 𝑥, 𝑦, 𝑧 = 𝑄/2𝜋𝑢𝜎 𝑦 𝜎z {exp [− (𝑧−h)2 /2𝜎z 2 ]+𝑒𝑥𝑝[ –( 𝑧 +h)2 /2𝜎z 2 ]}{exp (− 𝑦) 2 /2𝜎 𝑦 2 } The schematic representation of guassian plume model can be shown in Figure 1. Figure.1 Schematic Representation of Gaussian Plume The Gaussian distribution determines the size of the plume downwind from the source. A schematic representation of the Gaussian Plume is shown in Figure 3.1. The plume size is dependent on the stability of the atmosphere and the dispersion of the plume in the horizontal and vertical directions. These horizontal and vertical dispersion coefficients (σy and σz respectively) are merely the standard deviation from normal on the Gaussian distribution curve in the y and z directions. These dispersion coefficients, σy and σz, are functions of wind speed, cloud cover, and surface heating by the sun. The Gaussian distribution requires that the material in the plume be maintained [8]. In order for a plume to be modelled using the Gaussian distribution, the following assumptions must be made: I. The plume spread has a normal distribution II. The emission rate (Q) is constant and continuous III. Wind speed and direction is uniform IV. Total reflection of the plume takes place at the surface III. Results and Discussions The average pollutants concentrations are measured in the stack yards (on yearly average basis) of ports which are present in the urban areas of cities is 109.1 & 103.3 µg/m3 for RSPM at flat terrain and elevated terrain respectively, and for TSPM is 307.6 & 291.6 µg/m3 at flat terrain and elevated terrain respectively. The volume source of stack pile having dimensions – source release height of 6m, the initial lateral & vertical dimensions of 25m & 4m at a particular receptor height of 15m above ground under full meteorology conditions. With reference to the above data, the SCREEN3 module programme has been run by varying the heights of source from 4m to 10m with an interval of 2m, for the terrain heights of 0m (flat terrain) and 2m (elevated terrain) above the base/ground for both the pollutants RSPM & TSPM. The SCREEN3 module program results given in the Table 1. Table 1. Concentration Values of Pollutants for Different Source Release Heights at a Receptor Height of 15m for Flat and Elevated Terrains Source release height, m Flat Terrain Elevated Terrain Concentration of RSPM, µg/m3 Concentration of TSPM, µg/m3 Concentration of RSPM, µg/m3 Concentration of TSPM, µg/m3 4 103.4 291.6 100.8 284.2 6 109.1 307.6 103.3 291.6 8 115.7 326.1 109.1 307.6 10 121.8 343.4 115.7 326.1 The concentrations of pollutants (RSPM & TSPM) are plotted against source release height for flat and elevated terrains are shown in Figures 2 & 3. It is observed from the graph that a decrease in the
  • 3. Modi Musalaiah et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), December 2014, pp.78-80 www.ijera.com 80 | P a g e pollutant concentration with a decrease in the source release height for both the cases. There is a small difference in the concentration of pollutants, which is due to the nature of the Terrain. This decrement occurs at an Elevation Terrain which acts as Effective Stack Height. Source Release Height, m 3 4 5 6 7 8 9 10 11 ConcentrationofPollutants,µg/m3 50 100 150 200 250 300 350 400 RSPM TSPM Figure 2. Concentration Profiles of RSPM & TSPM at Different Source Release Heights at a Receptor Height of 15m for a Flat Terrain Source Release Height, m 3 4 5 6 7 8 9 10 11 ConcentrationofPollutants,µg/m3 50 100 150 200 250 300 350 RSPM TSPM Figure 3. Concentration Profiles of RSPM & TSPM at Different Source Release Heights at a Receptor Height of 15m for an Elevated Terrain IV. Conclusions The pollutants (RSPM & TSPM) concentration data were analyzed at the stack yards of the port. Meanwhile, other parameter like source release height, receptor height and terrain height were also considered to calculate the concentrations of pollutants at different levels by using SCREEN3 module. Based on the SCREEN3 module simulation of source release heights, it is found that the concentration of pollutants increased with the source release height at receptor height of 15m for both the terrains so, it is better to construct a periphery along the sides of stack yard up to receptor level to reduce the pollutants concentration on the surrounding places. References [1.] Weaver D and Villard R, (2007) Hubble News Center [2.] Seinfeld John and Spyros Pandis (1998) Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. John Wiley & Sons, (97). [3.] A report on the environmental effects of dust from surface mineral working, by Department of the Environment Minerals Division, London. [4.] Seinfeld John and Spyros Pandis (1998) Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. John Wiley & Sons, (97). [5.] Mary Hardin and Ralph Kahn, A report on Aerosols and climate change [6.] Akbar Ziauddin, A report on mapping of particulate and gaseous pollutants trends in rapidly growing urban environment of Visakhapatnam city using a GIS-Based methodology. [7.] Jineshvora, Dust dispersion modeling for opencast mines. [8.] Trivedi R, Chakraborty M K and Tewary B K, 2009. Dust dispersion modeling using fugitive dust model at an opencast coal project of Western coalfields limited, India. Journal of Scientific & Industrial Research, Vol. 68 (71 – 78). [9.] Trivedi R and Chakraborty M K, 2008. Dust generation and its dispersion due to mining activities in Durgapur open cast coal project of Westren coal field limited – A Case Study. The Indian Mining & Engineering Journal, (24 – 31). [10.] Reed W R, 2004. A report on Performance evaluation of a dust dispersion model for haul trucks. [11.] Panda B K and Panda C R, 2011, A report on Estimation of ambient air quality status in Kalinga Nagar industrial complex in the district of Jajpur of Odisha.