1.0 INTRODUCTION 2.0 MODEL INPUTS AND ASSUMPTIONS

PHASE 2 ODOUR MODELLING – 2760 MARRON VALLEY ROAD
FILE: SWM.SWOP03093-01 | JUNE 15, 2016 | ISSUED FOR REVIEW
1.0
INTRODUCTION
The following is a summary of model inputs and odour modelling results conducted for the purpose of assessing
potential odour impacts from a private organics management facility located at 2760 Marron Valley Road, Kaleden,
British Columbia (hereafter referred to as the “Site”). Odour modelling was conducted using CALPUFF, an advanced
air modelling software system recommended by the British Columbia Ministry of Environment (BC MOE).
2.0
MODEL INPUTS AND ASSUMPTIONS
2.1
Meteorology
The air dispersion model CALPUFF contains a diagnostic meteorological processor, CALMET, which creates a
three-dimensional meteorological field over the spatial extent of the model. The data produced by CALMET is used
by CALPUFF in its dispersion and plume transport calculations. Inputs to CALMET include the following:

a geophysical grid, constructed using gridded terrain and land cover data (obtained from GeoGratis –
Government of Canada); and

a combination of prognostic (three-dimensional meso-scale model called MM5) meteorological data and hourly
surface observations obtained from Environment Canada and BC MOE meteorological stations.
When CALMET is run in “no-observations” mode (using only MM5), the surface station observations provide a
validation of the CALMET meteorology, in particular winds, to ensure representativeness. As MM5 is a meso-scale
regional model, the grid used as input to CALMET is downscaled in three steps from a 32 km resolution grid to a
4 km grid and downscaled again within CALMET to the CALPUFF grid size (250 m). It is not expected that the
meteorological time series in CALMET will exactly reproduce observed conditions on an hour by hour basis at any
particular grid point, however it is expected to be representative of the general conditions over a given year.
Table 2.1 summarizes the meteorological inputs to CALMET used in the odour modelling and mapping exercise for
the Site.
Table 2.1: CALMET Inputs and Metadata
Parameter
Usage
Surface Stations
None
Upper Air Soundings
None
Prognostic Data
4 km resolution MM5 (2012 & 2013)
Meteorological Grid
40 km (east-west) x 30 km (north-south) at 250 m2
Grid Centre
312,000 m, 5,473,000 m, UTM Zone 11
Vertical Cells
(Cell Face Heights)
10 (0 m, 20 m, 40 m, 80 m, 160 m, 320 m, 640 m, 1,200 m, 2,000 m,
3,000 m, 4,000 m)
Terrain Data
CDN DEM 15 min (082e03-e06, e11,e12)
Land Use Data
GeoBase Land Cover circa 2000-Vector (082e)
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CALMET uses energy balance algorithms to compute hourly gridded fields of various micrometeorological
parameters which, combined with the gridded vertical temperature profiles contained in MM5, produces the
three-dimensional atmospheric stability field that drives the dispersion model. The inputs to the energy balance are
derived from the geophysical (terrain and land cover) grid. As land cover characteristics in the region vary with
season (e.g., snow-covered cropland has a much higher albedo than during the summer), in accordance with ‘British
Columbia Air Quality Dispersion Modelling Guideline’ (BCMOE 2015), five seasonal CALMET files were created
using the recommended geophysical parameters for each land cover category for each seasonal period. The date
ranges used to define each season are listed in Table 2.2. Year-to-year variability will undoubtedly occur, however,
this temporal approximation was used to simplify modelling based on Environment Canada 1981 – 2010 Climate
Normals for the Okanagan-Similkameen region. The modelled year was 2012.
Table 2.2: Geophysical Property Seasonality
2.1.1
Season
Date Range
Winter 1
October 16 – December 10
Winter 2
December 11 – February 29
Transitional Spring
March 1 – May 31
Summer
June 1 – September 15
Fall
September 15 – October 15
Meteorological Validations
To assess the representativeness of the CALMET meteorological grid, validation assessments were conducted on
the CALMET wind field (are the expected terrain effects and temporal patterns present?) and the vertical
atmospheric stability (does CALMET capture winter inversions and capture the expected seasonal/diurnal and
spatial mixing height patterns?)
2.1.1.1 Winds
Figure 2.1 shows annual wind roses extracted from the CALMET data at five locations in the Kaleden model grid.
The wind roses illustrates predominant wind directions as the length of a particular directional plot is representative
of the frequency of occurrence of winds from that direction. Each directional plot is further broken up into the relative
frequency of occurrence of wind speeds from that direction – navy blue representing wind speeds between 0.3 and
1 m/s for instance. Figure 2.1 shows good agreement with the expected flow pattern: aligned north-south within
the Okanagan Valley with drainage winds aligned in the orientation of the local valley terrain.
At the site, the predominant winds are from the south-southwest, due to the orientation of the mountain pass
southwest of the Site. Northwesterly/northerly winds are of secondary predominance, as a result of flows originating
from the plateau to the west and northerly winds which funnel through the Marron River valley from the north. The
temporal nature of the predominant wind patterns are illustrated in Figure 2.2 as seasonal wind roses of the
modelled CALMET winds for winter (DJF) and summer (JJA). Correlating with the seasonal regional flow patterns,
southwesterly winds are the common winter pattern while summer winds are heavily influenced by the diurnal
localized valley/mountain breeze pattern. During the daytime, heating of the air within the Okanagan Valley causing
it to rise, flowing up-valley, resulting in easterly winds in the vicinity of the Site. At night, cooler, denser air over the
plateau flows down-valley through the various mountain passes, resulting in northwesterly winds in the vicinity of
the Site.
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Figure 2.1: CALMET-Modelled Winds through Kaleden Domain –
Annual (Jan 2012 – Mar 2013) Wind Roses
Figures 2.3 through 2.5 show snapshots of the typical winter and summer wind patterns respectively. Figure 2.3
shows the predominant southerly flow through the region during winter with valley-steered winds in the vicinity of
the site. Figure 2.4 illustrates the typical summer nighttime pattern with drainage winds from the west flowing
through the Marron River valley from the north and over mountain slopes from the northwest. Figure 2.5 illustrates
the typical summer daytime valley breeze condition occurring under clear skies, as ground heating within the
Okanagan Valley enhances convection (the vertical movement of air), resulting in calmer winds at the valley floor
and up-valley flows onto the mountain ridges and the plateau to the west.
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Figure 2.2: CALMET-Modelled Winds at 2760 Marron Valley Road –
Winter (DJF, left) and Summer (JJA, right)
Figure 2.3 – Snapshot of CALMET-Modelled Winter Winds (Jan. 1, 2012 @ 19:00)
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Figure 2.4 – Snapshot of CALMET-Modelled Summer Nighttime Winds (Jul. 4, 2012 @ 23:00)
Figure 2.5 – Snapshot of CALMET-Modelled Summer Daytime Winds (Jul. 5, 2012 @ 13:00)
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2.1.1.2 Vertical Temperature Profiles
Vertical temperature profiles illustrate atmospheric stability in the CALMET data and indicate the presence of
inversions. The normal condition in the lower atmosphere is air temperature decreasing with altitude. Simplified,
under this condition, the lower atmosphere can generally be considered as neutral or unstable, meaning air that is
uplifted, due to heating from the ground for instance, has a tendency to rise and odours released at the surface
more readily disperse. The rate of the decrease with height is indicative of the overall degree of atmospheric
stability. When temperatures increase with height in the lower atmosphere, an inversion is present. The height of
the inversion is indicated by the inflection point of the profile – that is the point where temperature begins to decrease
with altitude. During inversion conditions, vertical movement is supressed and the dispersion of odours is
diminished, usually leading to higher concentrations at ground level.
Inversions are typical during winter, particularly in valley scenarios where colder denser air sinks to the valley floor
and is contained by valley walls. Inversions also occur overnight in the absence of ground heating. Figure 2.6
shows diurnal vertical temperature profiles extracted from the CALMET data, in six hour intervals for both January 1
(left) and July 1 (right) in the modelled year 2012 at the location of the Site. The January plots show the presence
of weak inversions in the modelled data. Overnight (0:00, red and 6:00, orange), the inversion height is near the
ground (the model default is 50 m). After sunrise, as the sun heats the ground, which in turn warms the air near
the ground, the inversion breaks up (called fumigation which can lead to some of the highest odour concentrations
at the surface) and the atmosphere becomes more unstable. The plot for 12:00 (green), shows the normal condition
of decreasing temperature with altitude. At 18:00 (blue), ground heating subsides after sunset (~17:00) and the
inversion condition begins to build. In contrast, the diurnal profiles for July 1 indicate a normal, unstable atmosphere
with the exception of 0:00 where stable conditions are present near the surface due to the absence of heating.
2.1.1.3 Mixing Height
The atmospheric mixing height can be defined as the top of the layer in the lower atmosphere, within which an
emitted species, in this case odour, is readily mixed through turbulence and convective processes. When the mixing
height is low, higher ground-level concentrations will generally be predicted. Mixing height is greatly influenced by
wind speed (higher wind speeds induce greater turbulence), incident solar radiation (ground heating of the air near
the surface induces convection and vertical movement of air), terrain (uneven terrain is more conducive to
turbulence) and geophysical characteristics (e.g. surface roughness) of the surface.
Figure 2.7 shows the spatial pattern to mixing heights as grid cell values for a night and day scenario in January.
Figure 2.8 shows the same for July. In Figure 2.7, stable (inversion) conditions (very low mixing heights) are present
in the valley bottoms, indicated by the purple shaded grid cells. Along the valley ridges, winds blowing over uneven
terrain and forested areas (high surface roughness) induces turbulence, resulting in locally elevated mixing heights,
indicated by the green and yellow shaded cells. During the day, incident solar radiation is insufficient to warm the
cooler dense air trapped at the valley bottoms, and mixing heights remain quite low, in the range of 100 m to 200 m,
resulting in stable, stagnant conditions which persist over long durations.
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Figure 2.6: CALMET-Modelled Diurnal Vertical Temperature Profiles at 2760 Marron Valley Road
(January 1, left, July 1, right)
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Figure 2. 7: CALMET-Modelled Mixing Height – January 2, 2012 (00:00, left & 16:00, right)
Figure 2.8: CALMET-Modelled Mixing Height – July 5, 2012 (00:00, left & 13:00, right)
In Figure 2.8, the contrast in mixing heights between day and night is quite evident. Overnight, cool, denser air fills
the valley resulting in stable conditions. Terrain-induced turbulence is observed along the valley walls as cooler air
from the plateau flows into the valley. In the daytime, strong solar heating induces convection throughout the area,
resulting in mixing heights exceeding 2,000 m, with the exception being over Okanagan and Vaseux Lake where
the heat flux interactions are much lower than over land due to the properties of water.
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Figure 2.9: CALMET-Modelled Mixing Heights at 2760 Marron Valley Road –
Winter 2012 (JF, blue) and Summer 2012 (JJA, red)
Figure 2.9 plots hourly mixing heights extracted from the CALMET data at the location of the Site. The upper plot
(blue) shows mixing heights for January and February while the lower plot (red) shows mixing heights for summer
(June through August). As expected, with lower sun angles, less incident solar radiation and frequent inversions,
winter mixing heights are generally much lower than in summer. The diurnal pattern (lower mixing heights overnight)
is quite evident in both plots but is much more evident in the summer due to the strong heating differential in the
region.
2.2
Emission Factors
The site layout was based on the membrane cover layout for the Summerland Regional Facility Feasibility
Assessment. This layout was used to define the boundaries of the odour sources for this modelling analysis and is
included in Appendix A as Figure 1. Odourous air from composting is managed through a GORE cover, which is a
breathable membrane. Odourous air from receiving area (which is inside a covered fabric building) is managed
through a biofilter. The largest odour source is the receiving area biofilter. Other odour sources include the
composting piles, storage area, curing piles, and receiving area. All odour sources were considered area sources,
and assumed to occur homogeneously over the entirety of the area source.
Another source of odour emissions occurs from movement of materials, i.e. pile building, turning, and moving. This
type of activity occurs intermittently and were assigned a diurnal variation based on the expected times of day the
activity is to be performed. Such activities are expected to occur daily at the Site over a one- to two-hour period,
however since the activity may occur at any time during the operational hours of the facility in the morning or in the
afternoon, odour emissions were assumed in the model to occur between 1000 to 1200 – representing a time of day
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when vertical mixing is generally highest – and between 1400 to 1600 – when, during the winter, the mixing height is
approaching its night time minimum, thus resulting in higher concentrations closer to the ground. This is a somewhat
conservative approach since the activity may only be occurring over a portion of a single hour rather than four, may
not take place every day, and peak odour emission would only occur during and immediately following the activity
and decay in the hour following. It should be noted that odour emissions produced from pile building and moving
are inconsequential compared to that produced from the biofilters which emit odour continuously.
Emission factors used for this model are presented in Table 2.3.
Table 2.3: Emission Factors
Time
Total Area
Type
Release
Height
Emission Factor
Source
0.013 OU/m2s
Continuous
(24 h)
12,000 m2
Area
3m
Phase 1 Odour
Modelling Report
Screening
0.0081 OU/m2s
Continuous
(24 h)
900 m2
Area
1m
Phase 1 Odour
Modelling Report
Receiving Areas
0.082 OU/m2s
Continuous
(24 h)
2,112 m2
Area
1m
Phase 1 Odour
Modelling Report
Biofilters (by
Receiving Areas)
69.76 OU/m2s
Continuous
(24 h)
352 m2
Area
1m
Phase 1 Odour
Modelling Report
Composting
0.2 OU/m2s
Continuous
(24 h)
11,550 m2
Area
3m
Phase 1 Odour
Modelling Report
Compost Pile
Building
0.44 OU/m2s
10:00-12:00,
14:00-16:00
320 m2
Area
3m
Phase 1 Odour
Modelling Report
Compost Pile
Moving
0.47 OU/m2s
10:00-12:00,
14:00-16:00
320 m2
Area
3m
Phase 1 Odour
Modelling Report
Emission Source
Emission Factor1
Storage
2.3
CALPUFF Settings and Assumptions
The CALPUFF model input settings were assigned with consideration to the recommendations in ‘Table 7.1 –
Recommendations for Key CALPUFF (Version: 6.42, Level: 110325) Model Options in Input Group 2 and 12’ in
‘Guidelines for Air Quality Dispersion Modelling in British Columbia’ (BCMOE 2015). Generally, default model
settings were used. Since the area of interest is in the near-field (within 12 – 15 km of the source), dispersion
coefficients were internally calculated using micrometeorological variables (MDISP = 2) based on estimates of the
crosswind and vertical components of turbulence based on similarity theory and the land cover type. The probability
distribution function (PDF) was used for dispersion under convective conditions (MPDF = 1) which explicitly
accounts for the differences in the distribution and strengths of up and down drafts within the convective boundary
layer, reporting the average between the two. By using these two settings, AERMOD-type dispersion is simulated
(generally accepted as better-predicting in the near-field than CALPUFF), while also providing the benefit of a puff
model and allowing for the effects of complex terrain.
The ground–level receptor grid spacing was 250 m over the entire grid. Additional 15 km (N-S) x 4 km (W-E)
receptor grids were added at 10 m, 20 m, 40 m, 60 m and 80 m above ground, centered over the Golden Mile facility
to observe the pattern of concentrations with height. The modelled stack is in close proximity to the dome-shaped
main facility building which can produce wake-effect turbulence that can draw the odour plume down to the surface.
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The main building dimensions were approximated from engineering drawings and downwash was included as a
model option.
3.0
RESULTS
Since the time step of the meteorological data is one-hour, CALPUFF can only output one-hour averaged
predictions of odour concentration. However, since odour perception is on a much shorter scale, an averaging timescalar must be applied to assess shorter-term peak concentrations due to plume meandering within the hourly
period. Hourly odour concentrations are scaled to a 10-minute averaging period using Equation 1.
=
∗
.
(1)
Pursuant to Equation 1, to is the 60 minute averaging time, tp is the short-term averaging time (10 minutes) and Co
and Cp are the respective peak concentrations (BC MOE). The scalar when converting from hourly to 10-minute
average concentrations equates to 1.65.
3.1
Odour Units
An Odour Unit (OU) is a way of quantifying odours through the use of an odour panel that consists of a group of
people with ‘calibrated noses’. The definition of an OU is based on the proportion of odour panel members that can
detect the smell of a substance. One OU represents the concentration of a particular substance when 50% of the
odour panel can detect the odour. This is called the perception threshold1. At this point, although an odour may be
detected, it is not distinct enough to be able to identify the type of odour.
The OU scale is based on dilutions, as shown in the following figure. As the number of odour units increase, more
people can detect the odour, and the intensity of the odour increases. Five OU is considered a faint odour and 10
OU is considered a distinct odour (the point when some people can identify the type of odour, or its potential
source)2.
1
2
http://blog.odotech.com/odor-unit-perception-threshold
Odours and VOCs: Measurement, Regulation and Control Techniques (2009). Kassel University Press.
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Figure 3.1: Odour Unit Scale
There are currently no guidelines for odour limits for composting facilities in British Columbia, however, some
wastewater treatment facilities have imposed odour limits. For example, the standard in Metro Vancouver is no
more than 5 OU at the property line. In other jurisdictions, the guideline is to have no detectable odour at the property
line. At the Ogogrow facility in Vernon, BC, the limit is 50 OU at the property line.
3.2
Odour Maps
Odour maps are included as part of Appendix A. Odour modelling results are presented as three different plots:

Maximum Odour Concentrations – The maximum predicted 10-minute odour concentration at each receptor
point over the course of the modelled year. This is displayed as a contour plot showing the maximum predicted
10-minute averaged odour concentration at every ground level receptor point over the entire one-year
simulation (8,784 hours) as a blue gradient (light to dark). The 1 OU contour is white. The highest levels >10 OU
are dark blue. The facility boundary is shown as a green outline.

Hourly Exceedances >1 OU – The number of hours over the course of the modelled year where an odour
threshold of 1 OU was exceeded in a 10-minute averaged concentration. This is displayed as a contour plot
showing the number of times the predicted 10-minute odour concentration exceeded 1 OU over the modelled
year (2012) as an orange gradient (light to dark). The white contour line represents <20 exceedances per year.
This would theoretically equate to 50% of the population being able to detect odour produced by the facility less
than 0.2% of the time. The dark orange contour line represents >100 exceedances per year.

Hourly Exceedances >5 OU – The number of hours over the course of the modelled year where an odour
threshold of 5 OU was exceeded in a 10-minute averaged concentration. This is displayed as a contour plot
showing the number of times the predicted 10-minute odour concentration exceeded 5 OU over the modelled
year (2012) as an orange gradient (light to dark). The white contour line represents <20 exceedances per year.
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This would theoretically equate to when a faint odour is produced by the facility less than 0.2% of the time. The
dark orange contour line represents >100 exceedances per year.
3.3
Results Summary
The odour maps presented in Appendix A show:
1) the magnitude and spatial extent of maximum ground level odour, and
2) the number of exceedances of odour detection thresholds.
Figure 2 shows the maximum predicted 10-minute averaged ground level concentration at all grid points over the
entire simulation. It is a conglomerate of all modelled hours (8,784) and is not a snapshot at a given time. The
figure shows the spatial extent of areas affected by transport of odour away from the proposed facility and the
potential magnitude of odour impact. The highest levels (>10 OU) are predicted in the vicinity of the facility, confined
within in the valley and mountain passes due in part to terrain confinement and in part to prevalent stagnant, stable
conditions which lead to elevated odour concentrations at ground level. Downwind of the facility, ground level
concentrations slightly exceeding 1 OU were also predicted through connecting valleys and passes as well as
through the Okanagan Valley as downslope winds transport odour down the Marron Valley and into the main
Okanagan Valley flow. The highest levels in the Okanagan Valley (4 – 6 OU) are predicted over Skaha Lake and
Vaseux Lake, the result of generally lower mixing heights over water.
Figures 3 and 4 show the number of hours with predicted exceedances of 1 OU and 5 OU, respectively. As
expected, the majority of exceedances occur in the vicinity of the Site. Away from the Site, the number of hours
with exceedances of 1 OU generally are below 20 per year, or 0.2% of the time. There are zero exceedances of
5 OU away from the Site.
The following table summarizes the results of the odour mapping exercise based on the predicted maximum odour
and number of hours of odour exceedances at a location approximately 400 m south of the property boundary
(800 m south of the composting area) representing the resident that is closest in proximity to the Site (49.365172°,
-119.690751°), as shown in Figure 3.2.
Table 3.1: Results Summary based on Closest Receptor Point
Location
Maximum Predicted
10-min Odour
Odour Exceedance
>1 OU (hours per year)
Odour Exceedance
>5 OU (hours per year)
49.365172°, -119.690751°
8.5 OU
97
3
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Figure 3.2: Location of Nearest Discrete Receptor (49.365172°, -119.690751°)
Attachments:
Appendix A (4 figures)
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APPENDIX A
Figure 1
Site Layout
Figure 2
Maximum Predicted Ground Level Odour Concentration (Over a Sustained 10-Minute Period) within
the Course of 1 Year (Current Composting Operations)
Figure 3
Number of Hours with Exceedances of 1 OU (Detectable Odour by 50% of the Population) within the
Course of 1 Year
Figure 4
Number of Hours with Exceedances of 5 OU (Detectable Odour by 50% of the Population) within the
Course of 1 Year
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304800
304900
305000
305100
5472500
M
ar
ro
n
Va
l
le
y
R
5472500
5472600
304700
5472600
304600
d
Bulking
Agent
Storage
Biofilter
Receiving Area
5472300
Screening
Composting
Composting
Mech
5472100
5472200
Mech
5472200
Q:\Vancouver\GIS\SOLID_WASTE\SWOP\SWOP03081-01_RDOS\Maps\SWOP03081-01_Fig01_Kaleden_Membrane.mxd modified 14/06/2016 by stephanie.leusink
5472400
Biofilter
Storage
5472300
5472400
Receiving Area
304600
304700
LEGEND
Loader Movement
Truck Movement
Composting
304800
304900
NOTES
Base data source:
Parcel boudaries for Penticton 1
provided by Canada Lands Digital
Cadastral Data (downloaded
June 14, 2016).
Imagery provided by ESRI;
DigitalGlobe (2010).
Screening and Storage
305000
PHASE 2 ODOUR MODELLING
2760 Marron Valley Road, Kaleden, BC
Membrane Covered Aerated Static Pile
Site Layout
PROJECTION
UTM Zone 11
Receiving Area
Mech; Biofilter
50
Parcel Boundary
305100
DATUM
NAD83
Scale: 1:3,000
25
0
50
CLIENT
Regional District of
Okanagan-Similkameen
Metres
FILE NO.
SWOP03081-01_Fig01_Kaleden_Membrane.mxd
STATUS
ISSUED FOR REVIEW
PROJECT NO.
SWM.SWOP03081-01
DWN
SL
CKD APVD REV
MEZ
BL
0
OFFICE
Tt EBA-VANC
DATE
June 14, 2016
Figure 1
APPENDIX A
FILE: SWM.SWOP03081-01 | JUNE 2016 | ISSUED FOR REVIEW
Facility Boundary
Figure 2: Maximum Predicted Ground Level Odour Concentration (Over a Sustained
10-Minute Period) within the Course of 1 Year (Current Composting Operations)
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APPENDIX A
FILE: SWM.SWOP03081-01 | JUNE 2016 | ISSUED FOR REVIEW
Facility Boundary
Figure 3: Number of Hours with Exceedances of 1 OU (Detectable Odour by 50% of the
Population) within the Course of 1 Year
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App A Fig 2 - Hwy 3A.docx
APPENDIX A
FILE: SWM.SWOP03081-01 | JUNE 2016 | ISSUED FOR REVIEW
Facility Boundary
Figure 4: Number of Hours with Exceedances of 5 OU (Detectable Odour by 50% of the
Population) within the Course of 1 Year
3
App A Fig 2 - Hwy 3A.docx