air quality e-reporting basics concepts, data model & resources to support users tony bush...

Air quality e-Reporting basics

Concepts, data model & resources to support users

Tony Bush ETC/ACM AQ e-Reporting task leader

18th EIONET Workshop - Dublin, 24th and 25th October 2013

European Environment Agency


• Air Quality e-Reporting objectives

• Air Quality e-Reporting reasons for being

• INSPIRE fundamentals

• Redesigning the Air Quality data model for reporting

• What it means in practise

• Data model basics

• Introducing resources to support users

Introduction


Air Quality e-Reporting objectives

• To replace old rules for regulatory and informative information on air quality to the Commission

• To upgrade standards for data encoding and sharing

• To streamline duplication in reporting data flows

• To reinforce internal consistency in regulatory data flows

• To embark on the first steps towards INSPIRE for Air Quality and to support information sharing and the SEIS


AQ e-Reporting stems from Directive 2008/50/EC in relation to air quality

Article 28 on implementing measures

“…shall identify ways of streamlining the way data are reported and the reciprocal exchange of information data from networks and individual stations measuring ambient air pollution”

The 23rd whereas of the Directive

“…It is necessary to adapt procedures for data provision assessment and reporting of air quality to enable electronic means and the Internet… compatible with Directive 2007/2/EC (INSPIRE)”

Air Quality Directive and connections with INSPIRE


• INSPIRE: Infrastructure for Spatial Information in Europe

• The INSPIRE Directive aims to facilitate better environmental policy across the EU. This will be achieved by:

joining up access to spatial data across the EU at all levels

facilitating improvements in the sharing of spatial data

improving public access to spatial data

• Establishes an infrastructure for spatial information to achieve this

• Environmental impacts do not respect borders

• Environmental policy needs to be based on robust evidence

INSPIRE fundamentals


Redesigning the Air Quality data model and vocabulary

• INSPIRE prescribes a IT standards based approach to modelling real-world AQ object

• Unified Modelling Language (UML) to develop the AQ e-Reporting data model

• The UML data model is used to generate a XML schema document (XSD)

• The AirQualityReporting.xsd defines and describes the components & structure of XML documents used to report AQ

UML class diagrams model the real world

Software converts UML to XSD

XSD & data combined to generate XML report by AQUI or databases

XML report sent to Eionet CDR


Redesigning the Air Quality data model

• Modelling AQ data model using UML brings

• Streamlining of the data model• Removal of duplicate information

• AQ e-Reporting data model 8 broad AQ data themes

• Spatial / geographical data• Monitoring facilities• Observational data

Measurements Modelling

• Area management information• Statistical & regulatory information

• IT standards

• Bring interoperability

AQ data model

AQ zones

Assessment regimes

Assessment methods

Primary UTD data

Primary validated

data

Aggregated data

Attainment information

AQ Plans


Air Quality Implementing Rules for e-Reporting

• AQ e-Reporting IPR describes the process, rules, formats and procedures for reporting air quality information

• Established as a legal obligation by the Commission Implementing Decision 2011/850/EU http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2011:335:0086:0106:EN:PDF

• Draws down mandatory & non-mandatory obligations and data specifications under

AQ regulations

INSPIRE regulations

http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2011:335:0086:0106:EN:PDF





• Human readable reports & report content• Decision 2004/461/EC, spreadsheet template Form 2 (+ shapefiles)

What does it mean in practice ?

Form 2 Delimitation of zones and agglomerations (96/62/EC Articles 5 and 11(1b) and 2008/50/EC Articles 4 and 22)Zones

Ful l zone name Greater London Urban Area

West Midlands Urban Area

Greater Manchester Urban Area

West Yorkshire Urban Area

Tynes ide

Zone code UK0001 UK0002 UK0003 UK0004 UK0005Pol lutant(s ), poss ibly separate protection targets , to which the zone appl ies

A;M A;M A;M A;M A;M

Type (ag/nonag) ag ag ag ag ag

Area (km 2 ) 1618 605 554 352 221

Population 7807696 2120435 1863849 1176821 731847Art.22 application P

Zone boundary source (geospatial file/ LAU2 list)

+513325.59-000544.48

+523725.58-015507.47

+533841.75-021836.50

+535315.87-014401.38

+545738.94-013634.29

Zone geospatial file name

+512434.95+000558.

27

+523623.09-015627.34

+533823.50-021903.59

+535257.63-014334.11

+545704.83-012712.46

LAU2 code(s)

+512434.02+000650.

00

+523623.06-015534.17

+533855.86-021903.83

+535257.75-014428.88

+545705.07-012808.67

+512434.02+000650.

00

+523655.43-015534.12

+533856.00-021809.37

+535330.11-014428.68

+545705.32-012904.89


• Become machine readable

What does it mean in practice ?


Closer look at the 8 new AQ data themes

• 8 regulatory themes for EU Member States

• 4 EIONET themes for exchange of information

Air Quality e-Reporting data model basics



• Air Quality zones


AQD Header AQD Zone

Provides information on the person & status

of the report

Provides information on AQ zones established to manage & improve pollution levelson the person & status of the report



• AQ assessment regimes


AQD HeaderAQD Assessment

Regimes


of the report

Provides information on AQ stations & models used to

assess pollution levels



• AQ assessment methods



Methods


of the report

Provides information on AQ monitoring stations, models & other assessment techniques,

including their configuration



• AQ assessment methods detail – measurements• Same approach for

Fixed measurements

Indicative measurements


AQD Sampling Point

AQD Sampling Point


MethodsAQD Sampling

Point

AQD Station

AQD Network

ObservingCapabilities

AQD Sample

RepresentativeArea

AQD Process



• AQ assessment methods detail - modelling• Same approach for

Modelling

Objective estimation


AQD Model

AQD Model


MethodsAQD Model

ObservingCapabilities

AQD Model Area

AQD Model Process



• AQ observations


AQD Header AQD Observation ObservingCapabilities

AQD Model Area

AQD Model Process

Data ArrayModelled data file

Defines time frames, result quality, parameterisation, references other already

defined configrations.



• AQ attainment


AQD Header AQD Attainment AQD Exceedance Description

Describes the attainment (or otherwise) of a particular environmental objective May be corrected

for NS & WSS

Exceedance Level

Exceedance Area

Reason for exceedance

Exceedance Exposure

Adjustment Methods

AQD zone

AQD Asessment Regimes

AQD Sampling Point

AQD Model


Resource to support users


Aggregation Rules

Code lists

QA/QC rules

Schema user guide

AQUI

Resource to support users

AQ e-Reporting Toolbox

Temporary support software to ensure continuity of service in EIONET and regulatory data flows


Questions & answers

Tony BushETC/ACM AQ e-Reporting task lead

Principal ConsultantGemini BuildingFermi AvenueHarwellOxonOX11 0QR

Tel: 0870 190 6423 Mobile: 07968 707 386 E-mail: [email protected] Web: www.ricardo-aea.com

Thank for your attention.

mailto:[email protected]

http://www.ricardo-aea.com/

air quality e-reporting basics concepts, data model & resources to support users tony bush...

Documents

uml data model

data encoding

way data

data model resources

reporting data flows

sharing of spatial data

reporting of air quality

xsd xsd data