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Next generation sensors for urban air quality management and public health protection
Experience in Hong Kong and the way forward
Dr. Zhi Ning, City University of Hong Kong
Ms. Christine Loh, Environmental Bureau
Dr. Peter Louie, Hong Kong Environmental Protection Department
Prof. Greg Carmichael, University of Iowa
Prof. Alexis Lau, Hong Kong University of Science and Technology
WHO Third Meeting of the Global Platform on Air Quality and Health, Madrid, Spain.
March 2017
3
▪ Urban: small fraction of the Earth’s surface (0.5%) , yet with > 50% of
the world population (3.42 b);
▪ Cities have different “genes”. Hong Kong being representative.
Background
5
Issues with current practice
▪ High interest by public for more personalized info and by
industry/government for smarter air quality management
Traditional compliance monitor/equipment
• High price and maintenance cost;• High precision but requires professionals.• Regional/local air quality instead of personal info.
“Professional "sensors
• Lower cost and small, compact, easy to deploy;
• Good performance in certain applications with different data quality objective.
Consumer grade sensors (low cost sensors)
• Cheap and small for personal and family usage;• Indication purpose, not scientifically reliable.
Citizen
Science?
7
A paradigm shift in air monitoring
▪ However, … expectations and realities
– Data quality is a concern
Credit to:
8
Lessons learnt from air quality and public health assessment
▪ Current issues:
– Sensor makers:
No reliable specifications on actual
sensor performance;
Only lab tests for cal curves prior to shipping
– System integrator and vendor
Lack of understanding on sensor performance
Provide incomplete or incorrect QAQC with
system
– System users (Different data objectives)
Rely only on face values from
sensors/systems;
Lack of ability for application specific QAQC
implementation
– 3rd party evaluators
Only evaluation, no practical QAQC
recommendation for applications
Sensor characteristics
Sensor system for desirable sensor performance;
Algorithms for sensor corrections;
Application in air quality and public health
9
• Understand actual application needs;
• Design and develop application specific QAQC protocols;
• Ability to implement the QAQC with support of facility and data mining.
• Be clear on the data objectives
• Provide more real-world
specs
• Inform users of pre-filters,
electronics, chemistry
changes
• Detailed testing and
provide results relevant to
applications
• Communicate specs in
reports
• Use and communicate
recommendations
• Provide information useful
to all users—help with
system selection on different
applications
Role of different participants
System developer
Sensor maker
Evaluator
• Comprehensive lab and field
tests for actual system
performance;
• Suggest and demonstrate
the QAQC protocols
• Communicate with users on
the limits and capabilities of
sensor systems
11
Sensor & system test
▪ Sensors have 3 dimension of
factors (Conc, Temp, RH) while
conventional monitors have
only 1 dimension of factor
(Conc only);
▪ Drift has been a concern.
Autozero is important!
20 22 00 02 04 06 08 10
15
20
25
30
35
Sensor_Temp
Adj_CO_Diff_1
CO_step_V (mV)
Time
-100
-50
0
50
100
150
12
Concerns on the inter-consistency
▪ First tier of inter-consistency check on multiple devices
– Cross check on the
raw data output on the
multiple sensor devices;
– Main unit versus satellite
units for quality
assurance.
– Periodical quality control
for inter-consistency
check.
6 devices side by
side for their cross
consistency first
13
Concerns on the field performance
QAQC protocol is
important.
Report on Evaluation and
QA/QC protocol for the
next generation air
monitoring, Ref 14-02771,
City University and Hong
Kong Environmental
Protection Department.
14
2015 Standard Chartered International Green Marathon-our first sensor-based monitoring
In support of government initiative for “2015
Standard Chartered Green Marathon”
150.4
0.6
0.8
1
1.2
3:07 4:19 5:31 6:43 7:55 9:07 10:19 11:31 12:43
CO
/ p
pm
TST COTST CO
▪ Traffic control was
effective to
suppress pollution
levels during the
race
▪ Roadside traffic
related pollutants
quickly jumped
once traffic control
lifted
0
100
200
300
400
500
NO
/p
pb
TST NONO Concentration
before/during/after traffic control
Motorcycles created
spikes of CO
2015 SC Green Marathon network
1717
• Bus mobile sensor platform
• Compact and multipollutant solutions for
PM2.5,NO2,SO2,CO2 (traffic pollutants)
• GPS/ traffic speed data and real time
transmission
• QAQC is very important for long term
unattended operation!
Auto zero
Nafion tube
for equilibrium
Mobile Air SEnsor Network (MASEN)
18
• Real time and real world
pollution map;
• Roadway network emission
and air quality modelling;• Hotspot identification and
evidence based policy making;
• Transport optimization.
Mobile Air SEnsor Network (MASEN)
19
Personal Exposure Kit (PEK)▪ A portable device
– Can be carried and placed anywhere
– Can measure, transmit + record real-time data
▪ Several microenvironments studied
– Office, Home, Commuting, schools, indoor and outdoor
▪ Multiple configurations possible
▪ PM and 5 gases possible
– 3-axis accelerometer, noise sensor, light sensor
– Temp/RH sensor
– GPS and telemetry
– Encrypted Q-R code for online survey
Restaurant Inside Subway Park Mini-Bus
21
Regulatory data representativeness?
▪ AQMS poorly
represents individual
exposure and large
variation of average
exposed PM2.5
▪ Day of week
differences by be due
to individual
activities
▪ Patterns of
exposures may differ
between
communities and
AQMS sites
8 times
Only 0.5
22
Citizen involvement in school community
▪ Indoor and outdoor monitoring system
with cloud connection and data display
• Temp/RH
• CO2
• PM2.5
• NO/NO2
• TVOC
• Formaldehyde
• Wifi/GSM/Zigbee
• Ethernet
23
Other on-going investigations
▪ UAV-based airborne monitoring
– Light weight application
SO2
CO2
Emission
1 3
2
32
Target ship plume
BC
NOx
SO2
CO
CO
Path
Radio
Path and command
USB cable, SDK
Path and command
Programming
Data
UART
Wi-Fi Data
Propeller mixing
Plume imaging
24
The way forward…
▪ “Low cost” and “professional” sensors are here to stay and
there are ample opportunities for sensor usage;
▪ They should not be viewed as substitution of
regulatory/compliance monitoring;
▪ Awareness and understanding of potential and limitations of
sensor based monitoring systems is the key to their
successful use;
▪ A focus on systems and data quality objectives instead of
sensors in research, calibration and communications;
▪ Professional data user versus citizen science user have
different needs for QAQC and organizational support;
▪ Clear and coherent guidelines urgently needed …
We are ready for WHO’s involvement!