Using Big Data from Air Quality Monitors to Evaluate ... · Buildings: Case Study in Beijing. 2019...
15
2019 IAQA Annual Meeting Liam Bates, CEO Kaiterra [email protected] CN Number (+86 135 2201 1253) US Number (+1 516 737 3863) Using Big Data from Air Quality Monitors to Evaluate Indoor PM2.5 Exposure in Buildings: Case Study in Beijing
Transcript of Using Big Data from Air Quality Monitors to Evaluate ... · Buildings: Case Study in Beijing. 2019...
2019 IAQA Annual Meeting
Liam Bates, CEO
Kaiterra
CN Number (+86 135 2201 1253)
US Number (+1 516 737 3863)
Using Big Data from Air Quality Monitors
to
Evaluate Indoor PM2.5 Exposure in
Buildings: Case Study in Beijing
2019 IAQA Annual Meeting
2019 IAQA Annual Meeting
Air pollution in China is strongly
affected by heating. Heating policies are
based upon the “Huai River” line and
policy.
2019 IAQA Annual Meeting
Primary Pollutant: PM2.5
Sources: Indoor & Outdoor
2019 IAQA Annual Meeting
First monitoring experiment at such a large scale.
Instead of a small team of researchers taking point
measurements, 4400+ devices were used to monitor data
over a one year period.
The primary goal: understand the impact of outdoor air
quality on IAQ.
2019 IAQA Annual Meeting
March 2016 - March 2017
4402 air quality monitors in Beijing
2300+ monitors in Chaoyang District
2019 IAQA Annual Meeting
2019 IAQA Annual Meeting
(a)Full Year
(b)Non-Heating Season
(c)Heating Season
2019 IAQA Annual Meeting
n
PM2.5 (μg/m3)
Mean (Std) Median
Beijing
All year
4403
38.64±18.44 34.58
Non-heating 34.93 ± 15.75 32.70
Heating 46.12 ± 21.17 39.96
DongCheng
All year
827
38.34 ± 17.33 35.15
Non-heating 35.62 ± 13.73 34.02
Heating 43.78 ± 22.10 38.34
XiCheng
All year
366
39.27 ± 18.47 36.70
Non-heating 34.99 ± 15.70 32.73
Heating 48.00 ± 20.68 42.92
HaiDian
All year
518
36.38 ± 19.44 32.90
Non-heating 33.78 ± 17.47 31.05
Heating 41.50 ± 22.14 35.66
ChaoYang
All year
2366
37.14 ± 18.09 33.66
Non-heating 32.92 ± 14.09 30.60
Heating 45.67 ± 22.06 40.07
ShiJingShan
All year
86
42.50 ± 22.99 38.05
Non-heating 41.12 ± 21.78 37.27
Heating 45.19 ± 25.21 44.28
FengTai
All year
240
43.15 ± 20.42 39.43
Non-heating 38.77 ± 18.77 36.14
Heating 51.98 ± 20.92 46.41
2019 IAQA Annual Meeting
Clear correlation between high-income
areas of city and improved indoor air
quality.
Note: the lowest point on the map is
approximately 35ug/m3, which is the
EPA’s 24h limit for PM2.5
2019 IAQA Annual Meeting
Clear relationship between indoor and outdoor
air quality.
Indoor air approximately 21% of outdoor air
quality, but air purifiers are used by the majority
of users.
2019 IAQA Annual Meeting
On a national scale, the lowest
ratio of indoor : outdoor is in
Beijing!
Higher education, higher
awareness.
Colder climate, higher need to
keep windows closed.
Widespread use of air purifiers.
2019 IAQA Annual Meeting
2019 IAQA Annual Meeting
On a national scale, the lowest
ratio of indoor : outdoor is in
Beijing!
Higher education, higher
awareness.
Colder climate, higher need to
keep windows closed.
Widespread use of air purifiers.
