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Developing 
a 
hybrid 
exposure 
model 
in 
London 
Sean 
Beevers 
King’s 
College 
London
Traffic 
Pollu8on 
and 
Health 
in 
London 
project 
http://www.erg.kcl.ac.uk/ResearchProjects/Traffic/Default.aspx? 
DeptID=ResearchProjects&CategoryID=ResearchProjectsTraffic
WP2 
modelling 
Sources 
Road 
transport 
Avia8on 
sources 
Passenger 
and 
commercial 
shipping 
Passenger 
and 
freight 
rail 
Large 
regulated 
industrial 
processes 
(Part 
A) 
Small 
regulated 
industrial 
processes 
(Part 
B) 
Gas 
hea8ng 
(domes8c 
and 
industrial-­‐commercial) 
Oil 
combus8on 
sources 
(domes8c 
and 
large 
boiler 
plant), 
Coal 
combus8on 
sources 
(domes8c 
and 
commercial) 
Construc8on 
source 
(NRMM, 
construc8on/ 
demoli8on) 
Others 
(agricultural, 
landfill, 
waste 
transfer, 
accidental 
fires 
and 
household 
sources) 
Biomass 
burning 
MRC-HPA Centre for Environment and Health 
Imperial 
College 
London 
Uses: 
Conges8on 
charging, 
Low 
Emissions 
Zones, 
Mayor's 
Air 
Quality 
Strategy 
(hMp://www.london.gov.uk/sites/default/files/Air%20Quality%20Strategy%20v3.pdf 
) 
Epidemiological 
research 
and 
Health 
Impact 
assessments 
London 
air 
quality 
model 
results 
-­‐ 
hMp://data.london.gov.uk/laei-­‐2008
Present: 
Sta8c 
approach 
to 
exposure 
assessment
Future: 
Hybrid 
approach 
to 
exposure 
assessment
Sta8c 
and 
Hybrid 
approaches 
to 
exposure 
assessment
Hybrid 
modelling 
for 
“Traffic”
Coupled 
local/regional 
scale 
modelling 
(CMAQ-­‐urban) 
Model 
outputs: 
NOX, 
NO2, 
O3, 
PM 
components 
Compu8ng 
facili8es…..you 
can’t 
have 
enough 
Emissions 
inventories 
UK 
Na8onal 
Atmospheric 
Emissions 
Inventory 
(NAEI) 
King’s 
Great 
Britain 
road 
traffic 
emissions 
European 
Monitoring 
and 
Evalua8on 
Programme 
(EMEP, 
hMp://www.ceip.at/) 
European 
Pollutant 
Release 
and 
Transfer 
Register 
(EPRTR) 
Biogenic 
Emission 
Inventory 
System 
(BEIS 
v3.14) 
VOC 
and 
soil 
NO 
Eclipse 
-­‐ 
IIASA 
Boundary 
condi8ons 
Beevers 
SD 
, 
Kitwiroon 
N, 
Williams 
ML, 
Carslaw 
DC. 
2012. 
One 
way 
coupling 
of 
CMAQ 
and 
a 
road 
source 
dispersion 
model 
for 
fine 
scale 
air 
pollu8on 
predic8ons. 
Atmospheric 
Environment 
59, 
pp 
47-­‐58
Hybrid 
exposure 
model 
CMAQ-­‐urban 
air 
quality 
model 
Micro-­‐environmental 
modelling: 
in-­‐vehicle 
(bus, 
car, 
train, 
tube), 
cycle, 
walk, 
indoors 
(I/O 
exchange 
-­‐ 
J 
Taylor 
(UCL)) 
Oyster 
card 
data 
London 
Travel 
Demand 
Survey: 
Trips 
by 
transport 
mode: 
Sex, 
age, 
gender 
and 
socio-­‐economic 
status 
Detailed 
human 
exposure 
J 
Taylor 
et 
al., 
2014. 
The 
modifying 
effect 
of 
the 
building 
envelope 
on 
popula8on 
exposure 
to 
PM2.5 
from 
outdoor 
sources. 
Indoor 
Air. 
doi:10.1111/ina. 
12116
The 
London 
Travel 
Demand 
Survey 
(LTDS) 
from 
TfL 
– 
it’s 
anonymised 
Using the LTDS however, we have data on 85,000 
people journeys for 24 hours 
2005/2006 5008 households, 11583 people, 29,797 trips, 61,542 stages 
2006/2007 8005 households, 18241 people, 47,029 trips, 95,930 stages 
2007/2008 7873 households, 17926 people, 44,828 trips, 91,967 stages 
2008/2009 8134 households, 18975 people, 43,076 trips, 89,701 stages 
2009/2010 8290 households, 19187 people, 43,475 trips, 92,121 stages 
2010/2011 Will get data soon 
2011/2012 Will get data soon 
Scaled up to the London population ~ 7 million people
MRC-HPA Centre for Environment and Health 
Imperial College 
London 
London 
journeys
Distance 
travelled 
by 
popula8on 
age 
~ 
25% 
of 
people 
stay 
at 
home 
PM2.5 
exposure 
if 
you 
are 
65 
years 
and 
older 
(most 
important 
mode) 
Walk: 
164,368, 
Car: 
123,043 
Bus: 
103,554, 
Underground: 
11,277
Geographic 
dose 
to 
NOX 
(top) 
and 
PM2.5 
(boMom) 
Static model Hybrid model
NOX 
and 
PM2.5 
Dose 
by 
age 
group
add some of the uncertainty being undertaken by Christina 
In-­‐car 
PM2.5 
results 
(sensi8vity)
Model 
evalua8on
CMAQ-­‐urban 
model 
evalua8on 
No 
sites 
NO2 
96 
NOx 
96 
O3 
41 
PM10 
106 
PM2.5 
68 
SOA 
~ 
1ug 
m-­‐3 
(Derwent 
and 
c.f. 
observa8ons) 
Biomass 
burning 
~ 
1ug 
m-­‐3 
(Fuller 
2013/4) 
Strongly 
bound 
water 
-­‐ 
(Franks 
2006) 
Fuller 
GW 
et 
al, 
2013. 
Atmospheric 
Environment 
68, 
295–296. 
Fuller 
GW 
et 
al, 
2014. 
Contribu8on 
of 
wood 
burning 
to 
PM10 
in 
London. 
Atmospheric 
Environment 
(accepted, 
publica8on 
pending). 
Frank 
N 
2006 
Retained 
Nitrate, 
Hydrated 
Sulfates, 
and 
Carbonaceous 
Mass 
in 
Federal 
Reference 
Method 
Fine 
Par8culate 
MaMer 
for 
Six 
Eastern 
U.S. 
Ci8es. 
ISSN 
1047-­‐3289 
J. 
Air 
& 
Waste 
Manage. 
Assoc. 
56:500–511
Exposure 
measurements 
hMp://www.londonair.org.uk/london/asp/news.asp? 
NewsId=CityAirpressrelease 
Collecting other person monitoring data - Schools Study, 
COPE, measuring in the tube, have lots more to do.
Uncertainty 
Analysis 
in 
Atmospheric 
modelling 
Quan8fying 
model 
uncertainty 
becomes 
prohibi8ve 
for 
models 
with 
long 
run 
8mes. 
Reduce 
the 
number 
of 
parameters 
through 
sensi8vity 
analysis 
(214 
to 
31) 
Our 
solu8on 
is 
to 
build 
an 
‘emulator’ 
Model 
input 
Output 
Training 
run 
Bayesian 
Calibra?on 
Each 
Monte 
Carlo 
run 
is 
weighted 
according 
to 
its 
probability 
of 
corresponding 
to 
observa8onal 
data 
This 
shivs 
the 
mean 
of 
the 
uncertainty 
distribu8on 
towards 
the 
observed 
value 
and 
reduces 
its 
standard 
devia8on
The 
future…. 
Indoor 
model 
-­‐ 
important 
addi8on 
to 
the 
current 
hybrid 
model 
Model 
evalua?on 
-­‐ 
MRC 
funded 
project, 
Characterising 
COPD 
Exacerba8ons 
using 
Environmental 
Exposure 
Modelling 
(COPE) 
project 
Uncertainty 
of 
the 
hybrid 
approach 
Develop 
sources 
within 
the 
model 
that 
are 
currently 
poorly 
understood 
-­‐ 
non-­‐exhaust 
emissions, 
biomass 
burning, 
cooking 
etc
Thanks 
for 
your 
aMen8on… 
Thanks 
to 
colleagues 
ERG 
modelling: 
NuMhida 
Kitwiroon, 
David 
Dajnak, 
Andrew 
Beddows, 
Chris8na 
Mitsakou, 
James 
Smith, 
Gregor 
Stewart 
and 
Jonathon 
Taylor 
(UCL) 
Transport 
for 
London 
and 
the 
Greater 
London 
Authority 
We 
thank 
the 
Natural 
Environment 
Research 
Council, 
Medical 
Research 
Council, 
Economic 
and 
Social 
Research 
Council, 
Department 
of 
Environment, 
Food 
and 
Rural 
Affairs 
and 
Department 
of 
Health 
for 
the 
funding 
received 
for 
the 
Traffic 
Pollu8on 
and 
Health 
in 
London 
project 
(NE/I008039/1), 
funded 
through 
the 
Environmental 
Exposures 
and 
Health 
Ini8a8ve 
(EEHI). 
The 
research 
was 
also 
supported 
by 
the 
Na8onal 
Ins8tute 
for 
Health 
Research 
(NIHR) 
Biomedical 
Research 
Centre 
based 
at 
Guy’s 
and 
St 
Thomas’ 
NHS 
Founda8on 
Trust 
and 
King’s 
College 
London.

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Developing Hybrid Exposure Model in London

  • 1. Developing a hybrid exposure model in London Sean Beevers King’s College London
  • 2. Traffic Pollu8on and Health in London project http://www.erg.kcl.ac.uk/ResearchProjects/Traffic/Default.aspx? DeptID=ResearchProjects&CategoryID=ResearchProjectsTraffic
  • 3. WP2 modelling Sources Road transport Avia8on sources Passenger and commercial shipping Passenger and freight rail Large regulated industrial processes (Part A) Small regulated industrial processes (Part B) Gas hea8ng (domes8c and industrial-­‐commercial) Oil combus8on sources (domes8c and large boiler plant), Coal combus8on sources (domes8c and commercial) Construc8on source (NRMM, construc8on/ demoli8on) Others (agricultural, landfill, waste transfer, accidental fires and household sources) Biomass burning MRC-HPA Centre for Environment and Health Imperial College London Uses: Conges8on charging, Low Emissions Zones, Mayor's Air Quality Strategy (hMp://www.london.gov.uk/sites/default/files/Air%20Quality%20Strategy%20v3.pdf ) Epidemiological research and Health Impact assessments London air quality model results -­‐ hMp://data.london.gov.uk/laei-­‐2008
  • 4. Present: Sta8c approach to exposure assessment
  • 5. Future: Hybrid approach to exposure assessment
  • 6. Sta8c and Hybrid approaches to exposure assessment
  • 7. Hybrid modelling for “Traffic”
  • 8. Coupled local/regional scale modelling (CMAQ-­‐urban) Model outputs: NOX, NO2, O3, PM components Compu8ng facili8es…..you can’t have enough Emissions inventories UK Na8onal Atmospheric Emissions Inventory (NAEI) King’s Great Britain road traffic emissions European Monitoring and Evalua8on Programme (EMEP, hMp://www.ceip.at/) European Pollutant Release and Transfer Register (EPRTR) Biogenic Emission Inventory System (BEIS v3.14) VOC and soil NO Eclipse -­‐ IIASA Boundary condi8ons Beevers SD , Kitwiroon N, Williams ML, Carslaw DC. 2012. One way coupling of CMAQ and a road source dispersion model for fine scale air pollu8on predic8ons. Atmospheric Environment 59, pp 47-­‐58
  • 9. Hybrid exposure model CMAQ-­‐urban air quality model Micro-­‐environmental modelling: in-­‐vehicle (bus, car, train, tube), cycle, walk, indoors (I/O exchange -­‐ J Taylor (UCL)) Oyster card data London Travel Demand Survey: Trips by transport mode: Sex, age, gender and socio-­‐economic status Detailed human exposure J Taylor et al., 2014. The modifying effect of the building envelope on popula8on exposure to PM2.5 from outdoor sources. Indoor Air. doi:10.1111/ina. 12116
  • 10. The London Travel Demand Survey (LTDS) from TfL – it’s anonymised Using the LTDS however, we have data on 85,000 people journeys for 24 hours 2005/2006 5008 households, 11583 people, 29,797 trips, 61,542 stages 2006/2007 8005 households, 18241 people, 47,029 trips, 95,930 stages 2007/2008 7873 households, 17926 people, 44,828 trips, 91,967 stages 2008/2009 8134 households, 18975 people, 43,076 trips, 89,701 stages 2009/2010 8290 households, 19187 people, 43,475 trips, 92,121 stages 2010/2011 Will get data soon 2011/2012 Will get data soon Scaled up to the London population ~ 7 million people
  • 11. MRC-HPA Centre for Environment and Health Imperial College London London journeys
  • 12. Distance travelled by popula8on age ~ 25% of people stay at home PM2.5 exposure if you are 65 years and older (most important mode) Walk: 164,368, Car: 123,043 Bus: 103,554, Underground: 11,277
  • 13. Geographic dose to NOX (top) and PM2.5 (boMom) Static model Hybrid model
  • 14. NOX and PM2.5 Dose by age group
  • 15. add some of the uncertainty being undertaken by Christina In-­‐car PM2.5 results (sensi8vity)
  • 17. CMAQ-­‐urban model evalua8on No sites NO2 96 NOx 96 O3 41 PM10 106 PM2.5 68 SOA ~ 1ug m-­‐3 (Derwent and c.f. observa8ons) Biomass burning ~ 1ug m-­‐3 (Fuller 2013/4) Strongly bound water -­‐ (Franks 2006) Fuller GW et al, 2013. Atmospheric Environment 68, 295–296. Fuller GW et al, 2014. Contribu8on of wood burning to PM10 in London. Atmospheric Environment (accepted, publica8on pending). Frank N 2006 Retained Nitrate, Hydrated Sulfates, and Carbonaceous Mass in Federal Reference Method Fine Par8culate MaMer for Six Eastern U.S. Ci8es. ISSN 1047-­‐3289 J. Air & Waste Manage. Assoc. 56:500–511
  • 18. Exposure measurements hMp://www.londonair.org.uk/london/asp/news.asp? NewsId=CityAirpressrelease Collecting other person monitoring data - Schools Study, COPE, measuring in the tube, have lots more to do.
  • 19. Uncertainty Analysis in Atmospheric modelling Quan8fying model uncertainty becomes prohibi8ve for models with long run 8mes. Reduce the number of parameters through sensi8vity analysis (214 to 31) Our solu8on is to build an ‘emulator’ Model input Output Training run Bayesian Calibra?on Each Monte Carlo run is weighted according to its probability of corresponding to observa8onal data This shivs the mean of the uncertainty distribu8on towards the observed value and reduces its standard devia8on
  • 20. The future…. Indoor model -­‐ important addi8on to the current hybrid model Model evalua?on -­‐ MRC funded project, Characterising COPD Exacerba8ons using Environmental Exposure Modelling (COPE) project Uncertainty of the hybrid approach Develop sources within the model that are currently poorly understood -­‐ non-­‐exhaust emissions, biomass burning, cooking etc
  • 21. Thanks for your aMen8on… Thanks to colleagues ERG modelling: NuMhida Kitwiroon, David Dajnak, Andrew Beddows, Chris8na Mitsakou, James Smith, Gregor Stewart and Jonathon Taylor (UCL) Transport for London and the Greater London Authority We thank the Natural Environment Research Council, Medical Research Council, Economic and Social Research Council, Department of Environment, Food and Rural Affairs and Department of Health for the funding received for the Traffic Pollu8on and Health in London project (NE/I008039/1), funded through the Environmental Exposures and Health Ini8a8ve (EEHI). The research was also supported by the Na8onal Ins8tute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Founda8on Trust and King’s College London.