Performance of Continuous PM 2.5 Monitors at a Monitoring Site in Ottawa, Canada
Post on 14-Feb-2016
22 Views
Preview:
DESCRIPTION
Transcript
Performance of Continuous
PM2.5 Monitors at a Monitoring Site in Ottawa, Canada
Tom Dann Luc White, Alain Biron
Environment Canada, ETC, Ottawa
Environment EnvironnementCanada Canada
NESCAUM Monitoring and Assessment Committee Meeting Troy, NH April 24/25, 2007
Ottawa Monitoring Site
Study Period: May 2004 – present> 500 days of data for 1 or more continuous instruments with filter-based data
24h PM2.5 Max: 64 µg/m³ 98th Perc: 37 µg/m³ Mean: 10.0 µg/m³
Temperature Range: -27°C to 29°C Filter based samplers: R&P Partisol FRM
and R&P Partisol Sequential Dichot
Ottawa Monitoring Site
Met-One BAM 1020 May 2004
Met-One BAM 1020 (new) Nov 2006
TEOM SES (30°C) May 2004
TEOM FDMS July 2004
GRIMM 180 (PM10, PM2.5, PM1.0) Oct. 2005
Thermo SHARP 5030 June 2006
Met-One BAM 1020
low-level C14 radiation source
uses beta-ray attenuation and a filter tape system
inlet is heated but filter is at ambient (station) temperature
humidity problems in early units caused higher readings in the summer
‘smart heater’ is turned on by a relative humidity sensor
hourly average output
Linear regression results for 24h dataBAM Ottawa (Warm Seasons 2004-2006)
0 10 20 30 40 50 60
Filter Based Sampler (µg/m³)
0
10
20
30
40
50
60
BA
M 1
020
(µg/
m³)
BAM 45% BAM 35%
BAM45 = -0.9 + 1.34 * FILTERr = 0.984 n = 54BAM35 = -0.6 + 1.09 * FILTERr = 0.961 n = 152
Linear regression results for 24h dataBAM with 35% Humidity Setting Ottawa (2005-2006)
0 10 20 30 40 50
Filter Based Sampler (µg/m³)
0
10
20
30
40
50
BA
M35
(µg/
m³)
BAM35_Cold BAM35_Warm
BAM35_Cold = -1.7 + 1.02 * FILTERr = 0.983 n = 72BAM35_Warm = -0.6 + 1.09 * FILTERr = 0.961 n = 152
Replacement of BAM
Linear regression results for 24h dataTEOM-FDMS Ottawa (2004-2006)
0 10 20 30 40 50 60 70 80
Filter-based Sampler (µg/m³)
0
10
20
30
40
50
60
70
80
TEO
M-F
DM
S (µ
g/m
³)
FDMS_Cold FDMS_Warm
FDMS_Cold = -0.8 + 1.07 * FILTERr = 0.993 n = 167FDMS_Warm = -0.3 + 1.08 * FILTERr = 0.969 n = 180
Grimm 180 Multi-channel Aerosol Spectrometer
Simultaneous measurement of PM1.0, PM2.5 and PM10Particle counts by size (31 channels) and mass determinationusing algorithmsNo size cut on inlet – moisture control using Nafion dryerTruly continuous (real-time)
Results for 24h PM2.5 data: Grimm 180 (Ottawa) Jan. 2006 – Dec. 2006
0 5 10 15 20 25 30 35 40
Filter-based Sampler (µg/m³)
0
5
10
15
20
25
30
35
40
GR
IMM
(µg/
m³)
GRIMM_Cold Season GRIMM_Warm Season
GRIMM_Cold = 0.5 + 1.05 * FILTERr = 0.964 n = 47GRIMM_Warm = 0.03 + 1.07 * FILTERr = 0.941 n = 60
Grimm 180 Results – Ottawa Summer 2006
05
101520253035
Conc
. (µg
/m³)
GrimmDichot
Humidity Effects on Grimm 180 (Ottawa)?
-10 -5 0 5 10 15 20 25
Dew Point Temp. (°C)
-6
-4
-2
0
2
4
6
8
GR
IMM
min
us F
ILTE
R (µ
g/m
³)
24h DataApril - September 2006
Results for 24h Coarse data: Grimm 180 (Ottawa) Jan. 2006 – Mar. 2007
0 5 10 15 20 25 30
Dichot Coarse (µg/m³)
0
5
10
15
20
25
30
GR
IMM
PM
10 -
PM
2.5 (µ
g/m
³)
GRIMM Coarse Before RecalGRIMMC = 0.8 + 0.24 * DICH r = 0.711
GRIMM Coarse After RecalGRIMMC = -1.0 + 0.82 * DICH r = 0.977
Results for 24h PM10 data: Grimm 180 (Ottawa) Jan. 2006 – Mar. 2007
0 5 10 15 20 25 30 35 40 45
Dichot PM10 (µg/m³)
0
5
10
15
20
25
30
35
40
45
GR
IM P
M10
(µg/
m³)
GRIMM PM10 Before RecalGRIMM10 = -0.4 + 0.85 * DICH r = 0.947
GRIMM PM 10 After RecalGRIMM10 = -0.2 + 0.93 * DICH r = 0.928
Grimm 180 Results – Ottawa January 29-31, 2007
01020304050607080
Conc
. (µg
/m³)
FINECOARSE
Thermo SHARP 5030 Synchronized Hybrid Ambient Real-time Particulate Monitor
Truly continuous (real-time) Combination nephelometer
& beta-ray attenuation Light scattering photometer
is continuously calibrated by beta attenuation mass sensor
Intelligent Moisture Reduction (IMR) System heating the inlet tube; threshold is set at 40%
Linear regression results for 24h data: Sharp 5030 (Ottawa Jun. – Dec. 2006)
0 5 10 15 20 25 30 35 40 45
Filter-based Sampler (µg/m³)
0
5
10
15
20
25
30
35
40
45
Ther
mo
Sha
rp (µ
g/m
³)
TSHARP = 1.20+1.00*FILTERr = 0.958 n = 68
Performance During Air Mass Change (Ottawa September 2006)
10:00 14:00 18:00 22:00 02:00 06:00 10:00 14:00 18:00 22:00 02:00 06:00 10:00
Hour of Day
-6
-4
-2
0
2
4
6
8
10
12
14
16
18
20
22
24
Con
cent
ratio
n (µ
g/m
³)
TEOM SES TEOM FDMS GRIMM THERMO SHARP
September 27 - 29, 2006
Cost Comparisons for Continuous PM2.5 Instruments (Canadian$):
Met-One BAM 1020$25,000
R&P 1400AB TEOM$25,400
R&P SES Kit $ 4,750
R&P 8500 FDMS Kit$10,700
TEOM-FDMS$36,100
GRIMM 180 (PM10, PM2.5, PM1.0)$31,000
Thermo SHARP 5030$26,500
2006 Performance Based on EPA ARM Template
Instrument N Slope Intercept
r
TEOM-SES 133 0.80 0.04 0.940TEOM-FDMS
126 1.06 -0.43 0.961
BAM 126 1.01 0.34 0.942GRIMM 107 1.06 0.27 0.953SHARP 68 1.00 1.20 0.958
PM Workshop – Ottawa April 2007
Presentations and Summary:
http://www.etc-cte.ec.gc.ca/NAPSAnnualRawData/Password: ozoneFolder: PMWORKSHOP2007
top related