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MODELS AND MONITORING NSL SEPA | December 2014 1

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MODELS AND MONITORING NSL

SEPA | December 2014 1

Contents

●Air Quality models in the Netherlands ●Monitoring of the NSL ●Monitoring Tool ●Exceedances ●Uncertainties ●Air Quality presently in the NL

SEPA | December 2014 2

AIR QUALITY MODELS

SEPA | December 2014 3

Standard Calculation Models Air Quality (SRM) ● Dutch law provides 3 Standard Calculation Models Air Quality (SRM)

– SRM-1 for streets / street canyons in an urban environment – SRM-2 along highways and larger other roads – SRM-3 near industrial facilities

● These models are described in detail in several documents.

● Other models are allowed if they are comparable to the SRM’s or if

they can be applied to other situations than the SRM’s.

● Wind tunnel experiments are also allowed, provided a specific protocol is followed.

● The RIVM advises the minister of Infrastructure and the Environment on model approval.

SEPA | December 2014 4

Netherlands: traffic and livestock important ● For traffic the local authorities must provide

– The exact location and height of the main roads – Numbers of light, medium-heavy, heavy vehicles and busses – Average speed and appropriate emission class – Average congestion and appropriate emission class – Location and shape of sound barriers

● For livestock the local authorities must provide – numbers of animals – Type of housing – Exact location

● For traffic and livestock the emission factors are provided by the Dutch government.

SEPA | December 2014 5

Model system

Background (double counting)

+ Local streets SRM1

+ Highways SRM2

+ Industry / livestock SRM3

SEPA | December 2014 6

Large-scale backgrounds NO2

• RIVM prepares maps on a 1x1 km2 resolution.

• Recent years are calibrated using measurements.

• Predictions based on • Economy • Technology • NL / EU

SEPA | December 2014 7

Large-scale backgrounds PM10

SEPA | December 2014 8

Model system Simple empirical model, derived from wind tunnel, calibrated using field measurements

Background (double counting)

+ Local streets SRM1

+ Highways SRM2

+ Industry / livestock SRM3

SEPA | December 2014 9

Model system Gaussian dispersion model, yearly average values only. Calibrated using field measurements.

Background (double counting)

+ Local streets SRM1

+ Highways SRM2

+ Industry / livestock SRM3

SEPA | December 2014 10

Model system

Gaussian dispersion model, hourly and yearly average values.

Background (double counting)

+ Local streets SRM1

+ Highways SRM2

+ Industry / livestock SRM3

SEPA | December 2014 11

NO2, data 2010 - 2013

Extensive model validation, mainly for NO2, some NOx, PM10

SEPA | December 2014 12

NL versus UK, 2010, NO2

SEPA | December 2014 13

MONITORING NSL

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Monitoring NSL ● All emissions, background calculations, local model results,

corrections etc are combined in the yearly Monitoring report of the NSL.

● The report is send to the Dutch parliament around December of each year.

● There is a lot of public interest.

● RIVM tries to provide the inputs and results in a transparant way.

● Some of the input is checked and commented.

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Monitoring NSL: data and responsibilities

Monitoring report (RIVM et al.)

Monitoring database

www.nsl-monitoring.nl - Update data (restricted) - View data (public)

Monitoringtool - Urban roads(SRM-1) - Rural roads, highways (SRM-2) - Agriculture (SRM-3)

Generic input I.e. Emission factors, meteo, backgrounds concentrations

(ministry IenM)

Local roads Roads and traffic data,

effects of measures (local municipalities,

natl. roads: rijkswaterstaat)

Schiphol Agriculture

(ministry IenM)

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Quality of the monitoring ● Critical review (Wesseling en Beijk, 2010): system with great

potential but also some issues:

– Quality of input data and effects of measures: limited quality control and documentation (in 2010).

– Actualization process: focus on limit values, quite a number of errors.

– Large uncertainties: focus on limit values, without a margin for uncertainties leads to a predictable number of ‘hidden’ exceedances.

– Completeness: only the larger projects are included in the NSL monitoring.

– Health: there was not enough focus on health effects (in 2010).

17 SEPA | December 2014

MONITORING TOOL

https://www.nsl-monitoring.nl

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SEPA | December 2014 19

SEPA | December 2014 20

Show locations Show roads Show transfers Measures Corrections All roads Topography

Select monitor Monitoring round Year to view Jurisdiction

SEPA | December 2014 21

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Amsterdam

SEPA | December 2014 23

Amsterdam

SEPA | December 2014 24

Concentrations, NO2, 2013

SEPA | December 2014 25

Intensities traffic, 2013

SEPA | December 2014 26

Road types, 2013

SEPA | December 2014 27

Speed type, 2013

SEPA | December 2014 28

Congestion, 2013

SEPA | December 2014 29

Calculation transfer, 2013

SEPA | December 2014 30

Detail concentration

SEPA | December 2014 31

Detail traffic

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Detail transfer

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Areas with measures

SEPA | December 2014 34

Areas with measures

SEPA | December 2014 35

Areas with measures

EXCEEDANCES 2015

SEPA | December 2014 36

SEPA | December 2014 37

Amsterdam, NO2, 2013

SEPA | December 2014 38

Amsterdam, NO2, 2015

SEPA | December 2014 39

Rotterdam, NO2, 2013

SEPA | December 2014 40

Rotterdam, NO2, 2015

SEPA | December 2014 41

Rotterdam, NO2, 2020

Exceedances 2013, calculated NSL

SEPA | December 2014 42

Near livestock

NO2, all PM10 daily limit PM10 near livestock

Exceedances 2015, calculated NSL

SEPA | December 2014 43

NO2, all PM10 daily limit

UNCERTAINTIES

SEPA | December 2014 44

The effects of uncertainties ● All calculations and measurements are uncertain.

● The results of calculations for the NSL are subject

to different types of uncertainties. – Systematic: are the general basis assumptions regarding

back grounds and emission factors correct?

– Random: every concentration is calculated using many assumption. On average the assumptions will be correct but for a specific individual location the assumption may not be correct.

SEPA | December 2014 45

Effect systematic uncertainties NSL

• Predictions for the

future have an uncertainty of 20-30%

• In the Netherlands many concentrations are just below limit values.

• Small changes in de predictions can have a significant effect of the number of exceedances. Variation emission factors

Var

iatio

n ba

ckgr

ound

s

Expected NO2 exceedances in 2015

Expe

cted

NO

2 ex

ceed

ance

s in

201

5

SEPA | December 2014 46

Effect random uncertainties NSL

Highest concentrations, sorted

Expected NO2 in 2015 Limit value (40.5)

NO

2 c

once

ntr

atio

n [

ug

/m3

]

SEPA | December 2014 47

Effect random uncertainties NSL

Expected NO2 in 2015 Limit value (40.5)

NO

2 c

once

ntr

atio

n [

ug

/m3

]

SEPA | December 2014 48

Effect random uncertainties NSL

Expected NO2 in 2015 Limit value (40.5)

NO

2 c

once

ntr

atio

n [

ug

/m3

]

Was exceedance Not any more

Turns out to be an exceedance

SEPA | December 2014 49

AIR QUALITY NOW

SEPA | December 2014 50

SEPA | December 2014 51

National network NO2, trend

Rural urban street

SEPA | December 2014 52

Rural urban street

National network PM10, trend

SEPA | December 2014 53

National network PM2.5, trend

Rural urban street

2013

SEPA | December 2014 54

2013

SEPA | December 2014 55

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