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International Journal of Engineering Science Invention
ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726
www.ijesi.org ||Volume 5 Issue 3|| March 2016 || PP.01-09
www.ijesi.org 1 | Page
Effect of Wind Direction through Double Storied Building Model
Configurations in Wind Tunnel
Dr.Krishna M. K*1
, Dr.Mahalingegowda R. M2
1.
Professor in department of Civil Engineering, S.J.B Institute of Technology
Bengaluru –560060, Karnataka, INDIA.
2.
Professor in department of Civil Engineering, P. E. S. College of Engineering,
Mandya –571401, Karnataka, INDIA.
ABSTRACT: Effect of wind direction on plume dispersion around urban buildings has been investigated by
physical modelling using arrays of buildings- like obstacles at scale 1:100 in boundary layer wind tunnel for
double storied buildings and compared with field data. The particular effect of obstacle width- to - height ratio
(S/H) was examined for a fixed obstacle plan area density. Series of experiments have been carried out in which
the wind direction varied in steps of 5 for selected orientation of line source at 900
, 95, 100 and 105.
Further, from the observation, it was concluded that the maximum lateral concentration shift to upward the
wind direction of line source is increased for inline double storied buildings model configuration. It can be
concluded, the wind tunnel results showed that concentrations at downwind distances decreased as the wind
direction increases (positive values) for measured orientation of line source in inline double storied buildings
model configuration. In comparison, experimentally observed σz values are below the field values. They were
best fitted with power-law profiles. The non-dimensional concentration for both the field and wind tunnel results
of double storied inline buildings configuration seems to be more or less uniform. Values of vertical spread
parameters for double storied inline array configuration and field data were followed a similar trend but inline
array configuration of double storied buildings model, non-dimensional concentrations were typically twice
larger compared to the field data. This is attributed to the fact that the tracer material is quite concentrated in
the recirculation region in inline array configuration of the double storied buildings model.
Key words: Atmospheric boundary layers, Wind tunnel study, Vehicular emission dispersion, Array of building
obstacles. Effect of wind direction.
I. INTRODUCTION
Atmospheric conditions such as wind speed, wind direction, and air temperature gradients interact with the
physical features of the landscape to determine the movement and dispersal of air pollutants. The problem of
near field plume dispersion in the urban environment is quite complex and involves the details of the interaction
of the plume and the flow field with several obstacles. This type problem is not generally solvable by
computational means and thus physical modeling is the best way to obtain sensible results and to study the
influence of the various parameters relevant to the problem. While using any line source model for prediction of
pollutants in any urban/suburban area, it is imperative that the model should be capable of accounting for building
effects. There is greater scope to understand systematically the influences of important varying parameters on
dispersion mechanisms through arrays of obstacles. For the study of these types of local parametric influences, a
boundary layer wind tunnel is a convenient tool to investigate the effects of these potential parameters.
Dispersion is dependent on various source parameters and surface layer micro-meteorological parameters such
as wind speed, wind direction, roughness conditions etc. In addition, the influence of the nearby buildings and
other structures of varying terrain categories cause further complexity in the dispersion phenomenon. Hosker
(1984), Hunt (1975) and Meroney (1995) have discussed the complex diffusion mechanisms in the wake of
building arrays. Until fairly recently the literature on this topic has been quite sparse; for example the review by
Hosker (1984) was mainly concern with flow and dispersion around individual or small groups of obstacles,
with only handful of relevant field and wind tunnel experiments have appeared.
Meroney (1995) and Hosker (1984) provided excellent reviews on the main characteristics of flow and
dispersion around single or small groups of obstacles. Several experiments have been carried out in model and
real urban canopies and wind tunnel using tracer gases. Davidson et al. [1995], Theurer et al. (1996), and
Macdonald et al. (1998) investigated diffusion around a building in field experiment in suburban area in
Sapporo. They found that high concentrations were observed both upwind and downwind of the source on the
Effect Of Wind Direction Through Double Storied…
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roof. Macdonald et al. (1998) confirmed that at short distances from the source, concentration profiles in the
obstacle arrays are quite variable. Mavroidis and Griffiths (1996) examined the flow and dispersion through
arrays of obstacles. The results suggested that enhanced mixing and dispersion occur within array. Recently,
dispersion of atmospheric pollutants in the vicinity of isolated obstacles of different shape and orientation with
respect to the mean wind direction has been examined in scaled field and wind tunnel experiments. It has been
found that the presence of taller obstacles results in a reduction of ground level concentrations. It is now widely
acknowledged that the greatest damage to human health is caused in the near- field of toxic releases from line
sources within the urban region. Complex flows around the obstacles in urban canopy pose difficult challenges
to research with change in wind direction. Thus, it is essential to address these challenges and develop methods
to model the impact of contaminants at short distance from the source within urban region with different wind
direction
The main aim of the present paper is to investigate experimentally, effects of the wind direction on vehicular
emission (which are treated as line source) dispersion phenomenon in simulated terrain conditions and to
understand the dispersion pattern through double storied building model configurations in the near- field of
roadway. Experiments have been carried out in which the wind direction varied in steps of 5 for selected
orientation of line source at 900
, 95, 100 and 105.
II. EXPERIMENTAL SETUP
2.1. Simulation of ABL Flow
Artificially thickened Atmospheric Boundary Layers (ABLs) have been produced in the Environmental Wind
Tunnel (EWT) by the combination of the passive devices such as Counihan’s spires, tripping barrier and
roughness blocks on the wind tunnel floor. The entire floor of the EWT was covered with roughness elements of
23 x 23 x 23 mm with a spacing of 70 mm (ABL-I). Three number of elliptic vortex generators (Counihan
spires) of 940 mm height were placed symmetrically at the entrance of the test section of EWT with roughness
elements (ABL-II). Further, a tripping barrier of 300 mm high was placed after the Counihan spires at 1.25 m
from the Counihan spires with roughness elements (ABL-III). The design of cubical blocks has been carried out
as per Counihan (1969), Gartshore and De Cross (1977) Gowda (1999).
2.2. Details of physical modelling dispersion experiments
In the present study a near-field terrain inline buildings model arrangements have been selected. The set of
experiments were carried for a geometric model scale of 1:100, which represent a real buildings height of 7 m
(double storied buildings). Physical modelling dispersion experiments were carried out one of the simulated ABL-
III which represent centre of large city in the near field of roadway in the EWT. Measurements were taken to obtain
vertical tracer gas concentration profiles for double storied building at pre-selected downwind distances from centre
of the line source as per the scheme shown in Fig. 1. These measurements were observed at selected vertical height
of (1.4H, 2.9H and 4.2H) for double storied buildings model for selected lateral width of tunnel from the tunnel
floor.
Lateral concentration measurements (along width of the test section) for pre selected lateral width of 4H, 8H,
and 12H for double storied buildings model for all the downwind distances on either sides of the centreline as
per the scheme shown in Fig. 2. Series of experiments have been carried out in which the wind direction varied
in steps of 5 for selected orientation of line source at 900
, 95, 100 and 105 as per the scheme shown in Fig
3.
1.2m
Turn table in panel no 7 at
test section floor
12 mTESTSECTION
WIND
DIRECTION
800mm
7.9 m
DOWNWIND
DIRECTION
119 H
179H
238H
298H
357H
Fig. 1: Schematic showing downwind distances for tracer gas concentration measurement in the E WT
Effect Of Wind Direction Through Double Storied…
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800mm
4H
8H
12 H
1.2m
Turn table in panel no 7 at
test section floor
12 m
TEST SECTION
WIND
DIRECTION
7.9 m
DOWNWIND
DIRECTION
Fig. 2: Schematic showing concentration measurements for pre-selected lateral width in EWTfor the
double storied buildings model
line source
Downwind directionWIND DIRECTION
q = 90º
q = 180º q = 0º
q = 270º
105°
100°
95°
90°180-q
Fig. 3: Orientation of line source with respect to wind flow
2.3. Experimental configuration in the wind tunnel
For the present study, buildings model made of wood cubical in shape had been arranged on the floor of the tunnel
from line source to entire downwind section of the tunnel. The buildings model had been arranged downwind
direction of the line source such that the row of buildings was at 70 mm (1H) for double storied buildings. This
arrangement ensured that the line source was located in amidst of the buildings model.
Macdonald et al. (1997) characterised the buildings arrangement for arrays of cubical elements by plan area density,
ar. For regular arrays of cubic elements, the plan area density ar is related to the gaps between cubes S and their
height H by (eq 1)
 
2
1
1
HS
ar

= . (1)
Where, S= Space between two consecutive array element
Based on plan area density different flow regimes have been defined for arrayed cubical blocks arrangement. The
characteristics of these main flow regimes are presented in Table.1. The present studies have been conducted an
isolated roughness flow regime for double storied buildings for the plan area density as per the Table 2.
Table. 1: Characteristic of the flow regime (Macdonald et al. [1997])
Flow regime Array spacing Plan Area density (%)
Isolated Roughness flow S/H>2.0-2.5 λ<8-11
Wake Interference Flow 1.0-1.5<S/H<2.0-2.5 8-11< λ <16-25
Skimming Flow S/H<1.0-1.5 16-25< λ
Table 4.3 Characteristic of the flow regime for the double storied buildings model
Sl. No.
Average building
height (m)
Scale S/H (>2.0–2.5)
λar (%)
(<8–11)
Width
Prototype cubical
model H (mm)
1 7 1:100 2.00 11.0 W=H 70
Effect Of Wind Direction Through Double Storied…
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For double storied buildings, cubical blocks having a height (H) of 70 mm with a spacing (S) between elements
of 140 mm, and the plan area density was found to be 11.0% (or S/H=2.0). As per the flow regime suggested by
Macdonald and Griffiths [1997] in Table 4.3, the prototype cubical models used for the experiment are made of
wood at a geometric model scale of 1:100, which represents a real building’s height of 7 m. Dimensions of the
models are 70 mm (L) × 70 mm (W) × 70 mm (H). The size for both the inline array configurations was 6×6
arrays. Fig. 4. Show a plan view of experimental buildings arrangement for inline array for double storied
buildings.
1H
1H 2H
2H1H
H = 70 mm
LINE
SOURCE
WIND DIRECTION
X
1H
Fig. 4.Plan view of experimental buildings model inline array arrangement for double storied buildings
III. RESULTS AND DISCUSSIONS
3.1. Effects of the wind direction observed in the wind tunnel
Series of experiments have been carried out in which the wind direction varied in steps of 5 for selected
orientation of line source at 95, 100 and 105 as per the scheme shown in Fig. 3. Concentration profiles were
taken in the central portion up to 70 mm away from side walls to avoid side wall boundary layer effects for the
double storied buildings model of inline array configurations. The observed normalized concentrations C/C0
versus selected lateral width Y/H of the tunnel are plotted at Z/H=5.7 to quantify the effect of wind direction as
shown in Figs.5- 7for the selected downwind distances.
From the figures, it is revealed that measured concentration at Y=10H is relatively higher than other lateral
locations up to downwind distance between 119H and 238H for measured orientation of the line source. This
trend due to plume is transported along the wind direction as the orientation of line source is increased. This
may be attributed due to higher recirculation region in the double storied buildings model. This type of behavior
has also been reported by Mavroidis and Griffiths [2007] in their work.
At far away from line source, measured concentration distribution at downwind distances of 298H and 357H
showed a reasonable uniformity along lateral width of the tunnel both at centerline and at either side of the
centerline. In other words, nearly the same concentration distribution was observed at far away downwind
distances of 298H and 357H due to downwash of the tracer concentration (material), which is released in the
wind tunnel (reported by Macdonald and Griffiths [1997]). Further, it was concluded that the maximum lateral
concentration shift to upward the wind direction as orientation of line source is increased for inline double
storied buildings model configuration.
a) X=119H b) X=179H
Effect Of Wind Direction Through Double Storied…
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c) X=238H d) X=298H
e) X=357H
Fig. 5 Concentration profiles for 95-orientation of line source for double storied buildings model
configuration at Z/H=5.7.
a) X=119H b) X=179H
c) X=238H d) X=298H
Effect Of Wind Direction Through Double Storied…
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e) X=357H
Fig. 6.Concentration profiles for 100-orientation of line source for double storied buildings model
configuration at Z/H=5.7
a) X=119H b) X= 179H
c) X=238H d) X=298H
e) X= 357H
Fig. 7.Concentration profiles for 105-orientation of line source for double storied buildings model
configuration at Z/H=5.7
Effect Of Wind Direction Through Double Storied…
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3.2 Comparison of concentration profiles for selected wind direction and downwind distances
Comparisons of lateral concentration profile for different orientations of inline array double storied buildings
model configuration have been made at selected downwind distances. In Figs. 8 concentration profiles for each
were plotted between normalized concentration and lateral distances for selected downwind distances of
X=119H, 179H, 238H, 298H and 357H for the selected vertical height from the tunnel floor. A comparison was
made to see the variation with each orientation of the line source.
From the figures, it can be observed that measured concentration at Y=10H was relatively higher compared to
the centerline (at Y=8H) as well as either side of the centerline for all the measured orientations at downwind
distances between 119H and 238H. It can be seen from the figures that concentration distribution shift to
upward the downwind as orientation of line source is increased (positive values) in inline double storied
buildings model configuration. A similar trend was also reported by Mavroidis and Andronopoulos [2007] and
Macdonald et al. [1998] in their work. Also, from Fig. 8 it is evident that due to higher recirculation region in
the double storied buildings model, irregular concentration distribution trend was observed at downwind
distances of 298H and 357H irrespective of orientation of line source.
It can be concluded, the wind tunnel results showed that concentrations at downwind distances between 119H
and 238 decreased as the wind direction increases (positive values) for measured orientation of line source in
double storied buildings model configuration. A similar trend has been reported by Mavroidis and
Andronopoulos [2007] in their work.
X=119H X= 179H X= 238H
X=298H X=357H
Fig. 8:Comparison of lateral concentration profiles for selected wind direction
3.3. Comparison of vertical spread parameter (σz) for single and double storied inline array configuration with field data
The problem of plume dispersion around urban buildings has been investigated by physical modeling using arrays
of buildings-like obstacles at a scale of 1:100 in a boundary layer wind tunnel for double storied buildings and
compared with the field data reported by Macdonald et al. [1998]. The particular effect of obstacle width-to-height
ratio (S/H) was examined for a fixed obstacle plan area density. Figs. 9 shows a comparison of vertical spread
parameter (σz) values obtained for double storied inline array configuration with reported field data.
Experimentally obtained non-dimensionalized concentration with cubic height (H) (i.e., σz/H) values was plotted
against downwind distances (X). Experimentally obtained values of σz/H for the double storied buildings model of
inline array configuration have been compared with the field data reported by Macdonald et al. [1998].
In comparison, experimentally observed σz values are below the field values reported by Macdonald et al.
[1998]. They were best fitted with power-law profiles. The non-dimensional concentration for both the field and
wind tunnel results of double storied inline buildings configuration seems to be more or less uniform. Values of
vertical spread parameters for double storied inline array configuration and field data were followed a similar
trend but inline array configuration of double storied buildings model, non-dimensional concentrations were
typically twice larger compared to the field data reported by Macdonald et al. [1998]. This is attributed to the
fact that the tracer material is quite concentrated in the recirculation region in inline array configuration of the
double storied buildings model.
Effect Of Wind Direction Through Double Storied…
www.ijesi.org 8 | Page
a) Y=4H b) Y=8H c) Y=12H
Fig. 9:Comparison of σz values for double storied inline array configuration with field data.
IV. CONCLUSIONS
The observed normalized concentrations C/C0 versus selected lateral width Y/H of the tunnel are plotted at
Z/H=5.7 to quantify the effect of wind direction for the selected downwind distances. It is revealed that
measured concentration at Y=10H is relatively higher than other lateral locations up to downwind distance
between 119H and 238H for measured orientation of the line source. This trend due to plume is transported
along the wind direction as the orientation of line source is increased. This may be attributed due to higher
recirculation region in the double storied buildings model. This type of behavior has also been reported by
Mavroidis and Griffiths [1996] in their work.
At far away from line source, measured concentration distribution at downwind distances of 298H and 357H
showed a reasonable uniformity along lateral width of the tunnel both at centerline and at either side of the
centerline. In other words, nearly the same concentration distribution was observed at far away downwind
distances of 298H and 357H due to downwash of the tracer concentration (material), which is released in the
wind tunnel (reported by Macdonald and Griffiths [1997]). Further, it was concluded that the maximum lateral
concentration shift to upward the wind direction as orientation of line source is increased for inline double
storied buildings model configuration.
It can be concluded, the wind tunnel results showed that concentrations at downwind distances between 119H
and 238 decreased as the wind direction increases (positive values) for measured orientation of line source in
double storied buildings model configuration. A similar trend has been reported by Mavroidis and
Andronopoulos [2007] in their work.
In comparison, experimentally observed σz values are below the field values reported by Macdonald et al.
[1997]. They were best fitted with power-law profiles. The non-dimensional concentration for both the field and
wind tunnel results of double storied inline buildings configuration seems to be more or less uniform. Values of
vertical spread parameters for double storied inline array configuration and field data were followed a similar
trend but inline array configuration of double storied buildings model, non-dimensional concentrations were
typically twice larger compared to the field data reported by Macdonald et al. [1997]. This is attributed to the
fact that the tracer material is quite concentrated in the recirculation region in inline array configuration of the
double storied buildings model. A similar trend has been reported Krishna,M.K and Gowda [2015]
REFERENCES
[1.]. Hosker R P., (1984).Flow and diffusion near obstacles, Atmospheric science and power production, 7, 241-326
[2]. Hunt, J.C.R. and Fernholz, H., (1975).Wind tunnel simulation of the atmospheric boundary layer, A report on EUROMECH 50,
Journal Fluid Mechanics, v. 70, pt. 3, pp. 543-559.
[3]. Meroney, R.N., Pavageau, M., Rafailidis, S. and Schatzmann, M.(1995). Study of line Source characteristics for 2-D physical
modelling of pollutant dispersion in street canyons, journal of Wind Engineering and Industrial Aerodynamics, Personal
Communication.
[4]. Davidson M.J., Mylne K.R., Jones C.D. et.al. (1995).Plume dispersion through large groups of obstacles, Atmos. Environ, 29,
3245–3256.
[5]. Theurer, W., Plate, E.J. and Hoeschele, K., (1996).Semi-empirical models as a combination of wind tunnel and numerical
dispersion modelling Atmospheric Environment, vol. 30, No. 21, pp. 3583-3597
[6]. Macdonald, R.W. Griffiths, R.F. Hall D.J. (1998).A comparison of results from scaled field and wind tunnel modeling of
dispersion in arrays of obstacles, Atmos. Environ., 32 (22) 3845–3862
[7]. Mavroidis I, Griffiths R F., (1996). Dispersion of Airborne Pollutants in Vicinity of Isolated Obstacles, In Proceedings of the
International Conference, Protection And Restoration Of The Environment III, Chania, Greece.
[8]. Counihan, J., (1969).An improved method of simulating atmospheric boundary layer in a wind tunnel, Atmospheric
Environment, 3, 197–214.
[9]. Gartshore, I.S., (1977). De Cross, K.A. Roughness element geometry required for wind tunnel simulation of the atmospheric
wind, Transactions of the ASME, Journal of Fluids Engineering,ASME, 99, 480–485.
Effect Of Wind Direction Through Double Storied…
www.ijesi.org 9 | Page
[10]. Gowda. (1999).Wind tunnel simulation study of the line source dispersion in the near-field of roadways under heterogeneous
traffic conditions, Ph.D. Thesis, IIT, Delhi.
[11]. Macdonald R.W., Griffths R.F., (1997).Field experimental of dispersion through regular arrays of cubic structures, Atmos.
Environ., 31, (6), 783–795.
[12]. Mavroidis, I., Andronopoulos, S., (2007).Atmospheric dispersion in the presence of a three-dimensional cubical obstacle:
modelling of mean concentration and concentration fluctuations, Atmospheric Environment, 41, 2740–2756
[13]. Krishna,M.K., Gowda.,(2015) An experimental study on vehicular emission dispersion through single storied building model
configurations, International Journal of Engineering Science Invention V-4, I- 10,19-25.

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Effect of Wind Direction through Double Storied Building Model Configurations in Wind Tunnel

  • 1. International Journal of Engineering Science Invention ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726 www.ijesi.org ||Volume 5 Issue 3|| March 2016 || PP.01-09 www.ijesi.org 1 | Page Effect of Wind Direction through Double Storied Building Model Configurations in Wind Tunnel Dr.Krishna M. K*1 , Dr.Mahalingegowda R. M2 1. Professor in department of Civil Engineering, S.J.B Institute of Technology Bengaluru –560060, Karnataka, INDIA. 2. Professor in department of Civil Engineering, P. E. S. College of Engineering, Mandya –571401, Karnataka, INDIA. ABSTRACT: Effect of wind direction on plume dispersion around urban buildings has been investigated by physical modelling using arrays of buildings- like obstacles at scale 1:100 in boundary layer wind tunnel for double storied buildings and compared with field data. The particular effect of obstacle width- to - height ratio (S/H) was examined for a fixed obstacle plan area density. Series of experiments have been carried out in which the wind direction varied in steps of 5 for selected orientation of line source at 900 , 95, 100 and 105. Further, from the observation, it was concluded that the maximum lateral concentration shift to upward the wind direction of line source is increased for inline double storied buildings model configuration. It can be concluded, the wind tunnel results showed that concentrations at downwind distances decreased as the wind direction increases (positive values) for measured orientation of line source in inline double storied buildings model configuration. In comparison, experimentally observed σz values are below the field values. They were best fitted with power-law profiles. The non-dimensional concentration for both the field and wind tunnel results of double storied inline buildings configuration seems to be more or less uniform. Values of vertical spread parameters for double storied inline array configuration and field data were followed a similar trend but inline array configuration of double storied buildings model, non-dimensional concentrations were typically twice larger compared to the field data. This is attributed to the fact that the tracer material is quite concentrated in the recirculation region in inline array configuration of the double storied buildings model. Key words: Atmospheric boundary layers, Wind tunnel study, Vehicular emission dispersion, Array of building obstacles. Effect of wind direction. I. INTRODUCTION Atmospheric conditions such as wind speed, wind direction, and air temperature gradients interact with the physical features of the landscape to determine the movement and dispersal of air pollutants. The problem of near field plume dispersion in the urban environment is quite complex and involves the details of the interaction of the plume and the flow field with several obstacles. This type problem is not generally solvable by computational means and thus physical modeling is the best way to obtain sensible results and to study the influence of the various parameters relevant to the problem. While using any line source model for prediction of pollutants in any urban/suburban area, it is imperative that the model should be capable of accounting for building effects. There is greater scope to understand systematically the influences of important varying parameters on dispersion mechanisms through arrays of obstacles. For the study of these types of local parametric influences, a boundary layer wind tunnel is a convenient tool to investigate the effects of these potential parameters. Dispersion is dependent on various source parameters and surface layer micro-meteorological parameters such as wind speed, wind direction, roughness conditions etc. In addition, the influence of the nearby buildings and other structures of varying terrain categories cause further complexity in the dispersion phenomenon. Hosker (1984), Hunt (1975) and Meroney (1995) have discussed the complex diffusion mechanisms in the wake of building arrays. Until fairly recently the literature on this topic has been quite sparse; for example the review by Hosker (1984) was mainly concern with flow and dispersion around individual or small groups of obstacles, with only handful of relevant field and wind tunnel experiments have appeared. Meroney (1995) and Hosker (1984) provided excellent reviews on the main characteristics of flow and dispersion around single or small groups of obstacles. Several experiments have been carried out in model and real urban canopies and wind tunnel using tracer gases. Davidson et al. [1995], Theurer et al. (1996), and Macdonald et al. (1998) investigated diffusion around a building in field experiment in suburban area in Sapporo. They found that high concentrations were observed both upwind and downwind of the source on the
  • 2. Effect Of Wind Direction Through Double Storied… www.ijesi.org 2 | Page roof. Macdonald et al. (1998) confirmed that at short distances from the source, concentration profiles in the obstacle arrays are quite variable. Mavroidis and Griffiths (1996) examined the flow and dispersion through arrays of obstacles. The results suggested that enhanced mixing and dispersion occur within array. Recently, dispersion of atmospheric pollutants in the vicinity of isolated obstacles of different shape and orientation with respect to the mean wind direction has been examined in scaled field and wind tunnel experiments. It has been found that the presence of taller obstacles results in a reduction of ground level concentrations. It is now widely acknowledged that the greatest damage to human health is caused in the near- field of toxic releases from line sources within the urban region. Complex flows around the obstacles in urban canopy pose difficult challenges to research with change in wind direction. Thus, it is essential to address these challenges and develop methods to model the impact of contaminants at short distance from the source within urban region with different wind direction The main aim of the present paper is to investigate experimentally, effects of the wind direction on vehicular emission (which are treated as line source) dispersion phenomenon in simulated terrain conditions and to understand the dispersion pattern through double storied building model configurations in the near- field of roadway. Experiments have been carried out in which the wind direction varied in steps of 5 for selected orientation of line source at 900 , 95, 100 and 105. II. EXPERIMENTAL SETUP 2.1. Simulation of ABL Flow Artificially thickened Atmospheric Boundary Layers (ABLs) have been produced in the Environmental Wind Tunnel (EWT) by the combination of the passive devices such as Counihan’s spires, tripping barrier and roughness blocks on the wind tunnel floor. The entire floor of the EWT was covered with roughness elements of 23 x 23 x 23 mm with a spacing of 70 mm (ABL-I). Three number of elliptic vortex generators (Counihan spires) of 940 mm height were placed symmetrically at the entrance of the test section of EWT with roughness elements (ABL-II). Further, a tripping barrier of 300 mm high was placed after the Counihan spires at 1.25 m from the Counihan spires with roughness elements (ABL-III). The design of cubical blocks has been carried out as per Counihan (1969), Gartshore and De Cross (1977) Gowda (1999). 2.2. Details of physical modelling dispersion experiments In the present study a near-field terrain inline buildings model arrangements have been selected. The set of experiments were carried for a geometric model scale of 1:100, which represent a real buildings height of 7 m (double storied buildings). Physical modelling dispersion experiments were carried out one of the simulated ABL- III which represent centre of large city in the near field of roadway in the EWT. Measurements were taken to obtain vertical tracer gas concentration profiles for double storied building at pre-selected downwind distances from centre of the line source as per the scheme shown in Fig. 1. These measurements were observed at selected vertical height of (1.4H, 2.9H and 4.2H) for double storied buildings model for selected lateral width of tunnel from the tunnel floor. Lateral concentration measurements (along width of the test section) for pre selected lateral width of 4H, 8H, and 12H for double storied buildings model for all the downwind distances on either sides of the centreline as per the scheme shown in Fig. 2. Series of experiments have been carried out in which the wind direction varied in steps of 5 for selected orientation of line source at 900 , 95, 100 and 105 as per the scheme shown in Fig 3. 1.2m Turn table in panel no 7 at test section floor 12 mTESTSECTION WIND DIRECTION 800mm 7.9 m DOWNWIND DIRECTION 119 H 179H 238H 298H 357H Fig. 1: Schematic showing downwind distances for tracer gas concentration measurement in the E WT
  • 3. Effect Of Wind Direction Through Double Storied… www.ijesi.org 3 | Page 800mm 4H 8H 12 H 1.2m Turn table in panel no 7 at test section floor 12 m TEST SECTION WIND DIRECTION 7.9 m DOWNWIND DIRECTION Fig. 2: Schematic showing concentration measurements for pre-selected lateral width in EWTfor the double storied buildings model line source Downwind directionWIND DIRECTION q = 90º q = 180º q = 0º q = 270º 105° 100° 95° 90°180-q Fig. 3: Orientation of line source with respect to wind flow 2.3. Experimental configuration in the wind tunnel For the present study, buildings model made of wood cubical in shape had been arranged on the floor of the tunnel from line source to entire downwind section of the tunnel. The buildings model had been arranged downwind direction of the line source such that the row of buildings was at 70 mm (1H) for double storied buildings. This arrangement ensured that the line source was located in amidst of the buildings model. Macdonald et al. (1997) characterised the buildings arrangement for arrays of cubical elements by plan area density, ar. For regular arrays of cubic elements, the plan area density ar is related to the gaps between cubes S and their height H by (eq 1)   2 1 1 HS ar  = . (1) Where, S= Space between two consecutive array element Based on plan area density different flow regimes have been defined for arrayed cubical blocks arrangement. The characteristics of these main flow regimes are presented in Table.1. The present studies have been conducted an isolated roughness flow regime for double storied buildings for the plan area density as per the Table 2. Table. 1: Characteristic of the flow regime (Macdonald et al. [1997]) Flow regime Array spacing Plan Area density (%) Isolated Roughness flow S/H>2.0-2.5 λ<8-11 Wake Interference Flow 1.0-1.5<S/H<2.0-2.5 8-11< λ <16-25 Skimming Flow S/H<1.0-1.5 16-25< λ Table 4.3 Characteristic of the flow regime for the double storied buildings model Sl. No. Average building height (m) Scale S/H (>2.0–2.5) λar (%) (<8–11) Width Prototype cubical model H (mm) 1 7 1:100 2.00 11.0 W=H 70
  • 4. Effect Of Wind Direction Through Double Storied… www.ijesi.org 4 | Page For double storied buildings, cubical blocks having a height (H) of 70 mm with a spacing (S) between elements of 140 mm, and the plan area density was found to be 11.0% (or S/H=2.0). As per the flow regime suggested by Macdonald and Griffiths [1997] in Table 4.3, the prototype cubical models used for the experiment are made of wood at a geometric model scale of 1:100, which represents a real building’s height of 7 m. Dimensions of the models are 70 mm (L) × 70 mm (W) × 70 mm (H). The size for both the inline array configurations was 6×6 arrays. Fig. 4. Show a plan view of experimental buildings arrangement for inline array for double storied buildings. 1H 1H 2H 2H1H H = 70 mm LINE SOURCE WIND DIRECTION X 1H Fig. 4.Plan view of experimental buildings model inline array arrangement for double storied buildings III. RESULTS AND DISCUSSIONS 3.1. Effects of the wind direction observed in the wind tunnel Series of experiments have been carried out in which the wind direction varied in steps of 5 for selected orientation of line source at 95, 100 and 105 as per the scheme shown in Fig. 3. Concentration profiles were taken in the central portion up to 70 mm away from side walls to avoid side wall boundary layer effects for the double storied buildings model of inline array configurations. The observed normalized concentrations C/C0 versus selected lateral width Y/H of the tunnel are plotted at Z/H=5.7 to quantify the effect of wind direction as shown in Figs.5- 7for the selected downwind distances. From the figures, it is revealed that measured concentration at Y=10H is relatively higher than other lateral locations up to downwind distance between 119H and 238H for measured orientation of the line source. This trend due to plume is transported along the wind direction as the orientation of line source is increased. This may be attributed due to higher recirculation region in the double storied buildings model. This type of behavior has also been reported by Mavroidis and Griffiths [2007] in their work. At far away from line source, measured concentration distribution at downwind distances of 298H and 357H showed a reasonable uniformity along lateral width of the tunnel both at centerline and at either side of the centerline. In other words, nearly the same concentration distribution was observed at far away downwind distances of 298H and 357H due to downwash of the tracer concentration (material), which is released in the wind tunnel (reported by Macdonald and Griffiths [1997]). Further, it was concluded that the maximum lateral concentration shift to upward the wind direction as orientation of line source is increased for inline double storied buildings model configuration. a) X=119H b) X=179H
  • 5. Effect Of Wind Direction Through Double Storied… www.ijesi.org 5 | Page c) X=238H d) X=298H e) X=357H Fig. 5 Concentration profiles for 95-orientation of line source for double storied buildings model configuration at Z/H=5.7. a) X=119H b) X=179H c) X=238H d) X=298H
  • 6. Effect Of Wind Direction Through Double Storied… www.ijesi.org 6 | Page e) X=357H Fig. 6.Concentration profiles for 100-orientation of line source for double storied buildings model configuration at Z/H=5.7 a) X=119H b) X= 179H c) X=238H d) X=298H e) X= 357H Fig. 7.Concentration profiles for 105-orientation of line source for double storied buildings model configuration at Z/H=5.7
  • 7. Effect Of Wind Direction Through Double Storied… www.ijesi.org 7 | Page 3.2 Comparison of concentration profiles for selected wind direction and downwind distances Comparisons of lateral concentration profile for different orientations of inline array double storied buildings model configuration have been made at selected downwind distances. In Figs. 8 concentration profiles for each were plotted between normalized concentration and lateral distances for selected downwind distances of X=119H, 179H, 238H, 298H and 357H for the selected vertical height from the tunnel floor. A comparison was made to see the variation with each orientation of the line source. From the figures, it can be observed that measured concentration at Y=10H was relatively higher compared to the centerline (at Y=8H) as well as either side of the centerline for all the measured orientations at downwind distances between 119H and 238H. It can be seen from the figures that concentration distribution shift to upward the downwind as orientation of line source is increased (positive values) in inline double storied buildings model configuration. A similar trend was also reported by Mavroidis and Andronopoulos [2007] and Macdonald et al. [1998] in their work. Also, from Fig. 8 it is evident that due to higher recirculation region in the double storied buildings model, irregular concentration distribution trend was observed at downwind distances of 298H and 357H irrespective of orientation of line source. It can be concluded, the wind tunnel results showed that concentrations at downwind distances between 119H and 238 decreased as the wind direction increases (positive values) for measured orientation of line source in double storied buildings model configuration. A similar trend has been reported by Mavroidis and Andronopoulos [2007] in their work. X=119H X= 179H X= 238H X=298H X=357H Fig. 8:Comparison of lateral concentration profiles for selected wind direction 3.3. Comparison of vertical spread parameter (σz) for single and double storied inline array configuration with field data The problem of plume dispersion around urban buildings has been investigated by physical modeling using arrays of buildings-like obstacles at a scale of 1:100 in a boundary layer wind tunnel for double storied buildings and compared with the field data reported by Macdonald et al. [1998]. The particular effect of obstacle width-to-height ratio (S/H) was examined for a fixed obstacle plan area density. Figs. 9 shows a comparison of vertical spread parameter (σz) values obtained for double storied inline array configuration with reported field data. Experimentally obtained non-dimensionalized concentration with cubic height (H) (i.e., σz/H) values was plotted against downwind distances (X). Experimentally obtained values of σz/H for the double storied buildings model of inline array configuration have been compared with the field data reported by Macdonald et al. [1998]. In comparison, experimentally observed σz values are below the field values reported by Macdonald et al. [1998]. They were best fitted with power-law profiles. The non-dimensional concentration for both the field and wind tunnel results of double storied inline buildings configuration seems to be more or less uniform. Values of vertical spread parameters for double storied inline array configuration and field data were followed a similar trend but inline array configuration of double storied buildings model, non-dimensional concentrations were typically twice larger compared to the field data reported by Macdonald et al. [1998]. This is attributed to the fact that the tracer material is quite concentrated in the recirculation region in inline array configuration of the double storied buildings model.
  • 8. Effect Of Wind Direction Through Double Storied… www.ijesi.org 8 | Page a) Y=4H b) Y=8H c) Y=12H Fig. 9:Comparison of σz values for double storied inline array configuration with field data. IV. CONCLUSIONS The observed normalized concentrations C/C0 versus selected lateral width Y/H of the tunnel are plotted at Z/H=5.7 to quantify the effect of wind direction for the selected downwind distances. It is revealed that measured concentration at Y=10H is relatively higher than other lateral locations up to downwind distance between 119H and 238H for measured orientation of the line source. This trend due to plume is transported along the wind direction as the orientation of line source is increased. This may be attributed due to higher recirculation region in the double storied buildings model. This type of behavior has also been reported by Mavroidis and Griffiths [1996] in their work. At far away from line source, measured concentration distribution at downwind distances of 298H and 357H showed a reasonable uniformity along lateral width of the tunnel both at centerline and at either side of the centerline. In other words, nearly the same concentration distribution was observed at far away downwind distances of 298H and 357H due to downwash of the tracer concentration (material), which is released in the wind tunnel (reported by Macdonald and Griffiths [1997]). Further, it was concluded that the maximum lateral concentration shift to upward the wind direction as orientation of line source is increased for inline double storied buildings model configuration. It can be concluded, the wind tunnel results showed that concentrations at downwind distances between 119H and 238 decreased as the wind direction increases (positive values) for measured orientation of line source in double storied buildings model configuration. A similar trend has been reported by Mavroidis and Andronopoulos [2007] in their work. In comparison, experimentally observed σz values are below the field values reported by Macdonald et al. [1997]. They were best fitted with power-law profiles. The non-dimensional concentration for both the field and wind tunnel results of double storied inline buildings configuration seems to be more or less uniform. Values of vertical spread parameters for double storied inline array configuration and field data were followed a similar trend but inline array configuration of double storied buildings model, non-dimensional concentrations were typically twice larger compared to the field data reported by Macdonald et al. [1997]. This is attributed to the fact that the tracer material is quite concentrated in the recirculation region in inline array configuration of the double storied buildings model. A similar trend has been reported Krishna,M.K and Gowda [2015] REFERENCES [1.]. Hosker R P., (1984).Flow and diffusion near obstacles, Atmospheric science and power production, 7, 241-326 [2]. Hunt, J.C.R. and Fernholz, H., (1975).Wind tunnel simulation of the atmospheric boundary layer, A report on EUROMECH 50, Journal Fluid Mechanics, v. 70, pt. 3, pp. 543-559. [3]. Meroney, R.N., Pavageau, M., Rafailidis, S. and Schatzmann, M.(1995). Study of line Source characteristics for 2-D physical modelling of pollutant dispersion in street canyons, journal of Wind Engineering and Industrial Aerodynamics, Personal Communication. [4]. Davidson M.J., Mylne K.R., Jones C.D. et.al. (1995).Plume dispersion through large groups of obstacles, Atmos. Environ, 29, 3245–3256. [5]. Theurer, W., Plate, E.J. and Hoeschele, K., (1996).Semi-empirical models as a combination of wind tunnel and numerical dispersion modelling Atmospheric Environment, vol. 30, No. 21, pp. 3583-3597 [6]. Macdonald, R.W. Griffiths, R.F. Hall D.J. (1998).A comparison of results from scaled field and wind tunnel modeling of dispersion in arrays of obstacles, Atmos. Environ., 32 (22) 3845–3862 [7]. Mavroidis I, Griffiths R F., (1996). Dispersion of Airborne Pollutants in Vicinity of Isolated Obstacles, In Proceedings of the International Conference, Protection And Restoration Of The Environment III, Chania, Greece. [8]. Counihan, J., (1969).An improved method of simulating atmospheric boundary layer in a wind tunnel, Atmospheric Environment, 3, 197–214. [9]. Gartshore, I.S., (1977). De Cross, K.A. Roughness element geometry required for wind tunnel simulation of the atmospheric wind, Transactions of the ASME, Journal of Fluids Engineering,ASME, 99, 480–485.
  • 9. Effect Of Wind Direction Through Double Storied… www.ijesi.org 9 | Page [10]. Gowda. (1999).Wind tunnel simulation study of the line source dispersion in the near-field of roadways under heterogeneous traffic conditions, Ph.D. Thesis, IIT, Delhi. [11]. Macdonald R.W., Griffths R.F., (1997).Field experimental of dispersion through regular arrays of cubic structures, Atmos. Environ., 31, (6), 783–795. [12]. Mavroidis, I., Andronopoulos, S., (2007).Atmospheric dispersion in the presence of a three-dimensional cubical obstacle: modelling of mean concentration and concentration fluctuations, Atmospheric Environment, 41, 2740–2756 [13]. Krishna,M.K., Gowda.,(2015) An experimental study on vehicular emission dispersion through single storied building model configurations, International Journal of Engineering Science Invention V-4, I- 10,19-25.