1 arc seibersdorf research information technologies for safety, quality and communications 24. 9....

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ARC SEIBERSDORF RESEARCH INFORMATION TECHNOLOGIES for INFORMATION TECHNOLOGIES for Safety, Quality and CommunicationsSafety, Quality and Communications

24. 9. 2003seibersdorf research

An enterprise of the Austrian Research Centers.

Multiple dependencies and scenario management in emission inventories

Wilfried Winiwarter, Rudi Orthofer ARC systems research

Heinrich Humer, Gerald Schimak, Peter Kutschera ARC seibersdorf research (IT)

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Overview

• Emission inventory in general• Special IT problems in these tasks• Scenario Management• Multi dimensional analysis• Application service providing (ASP) concept, multi

organization platform• 100 % Generation from Case-Tool as a general goal

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Emission inventory in general

From where? How much? What can be done?

4




Input Data

QuestionnaireStatistics

Emission FactorsTemporal Resolution

Spatial Resolution

Models

emiCO = activityX * emifactCO

Results

Point / Line / Area Emission for SO2, Nox, NMVOC, CO,

CO2 and PM10

EMI = Act * Emifac

Datasources

General tasks of calculation are very simple

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Approaches for estimation

• Bottom up• Summing up point sources and

results of questionnaires, measurements and statistics to emission results for – counting units – local governmental units– districts– countries

• Top down• Dividing global amounts

(disaggregation) to the subunits using statistical information.

• No detail information is available

• Example: – Varnish by population

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Statistics, Questionnaires, geographical data

INPUT

EMISSION TABLES(Area, Line and Point Emissions)

OUTPUT

EVALUATION MODELS

Tables Maps

EMISSION CALCULATIONMODELS

Reports


INPUT


OUTPUT

EVALUATION MODELS

Tables Maps


Reports

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Special IT problems in these tasks I

• Data have to be collected from several primary data sources– periodic updates with different periods necessary– Syntax- and semantic problems– Management problem– Quality assurance (quality and completeness)

• Goal: – Wide range of simple import facilities of data– Support of basic data acquisition / preparation tools (Excel, flat

files, …)

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Special IT problems in these tasks II

• All is changing over time (data and algorithms)– The set of input data depends on state of the art and the focus of

the analysis.– Also models can be changed depending on state of the art and

the focus of the analysis.– Data and algorithms also depend on the user.

• Goal: – we need a tool for long term observation, high configurability– we need a minimum set of common conventions

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Special IT problems in these tasks III

• Experts in modeling inventories are not always also experts in operating data management systems– Desktop data analysis tools are not suitable for long term data

management– Mixing between data and User Interface – Professional support for database and basic algorithms

• Goal:– Outsourcing operation of database and basic support of

application

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INPUT


OUTPUT

EVALUATION MODELS

Tables Maps


Reports


INPUT


OUTPUT

EVALUATION MODELS

Tables Maps


Reports

SS

CC

EE

NN

AA

RR

II

OO

SS

CC

EE

NN

AA

RR

II

OO

SS

CC

EE

NN

AA

RR

II

OO

SS

CC

EE

NN

AA

RR

II

OO

SS

CC

EE

NN

AA

RR

II

OO

All is changing

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Scenarios and Groups

• “Data groups”:– Logical associated set of input and model data (data domain)– A group can consist of table slices or of several database tables– A group has a name and description and can be modified in

versions• “Scenario”:

– A scenario represents for a special question and includes a set of selected versions of data groups.

– Scenarios have names and description. – All modifications are logged automatically

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Scenario manager

• Allows comparison of data records of different situations– Different years– Different political strategies– Different models

• Quality assurance for scenario evaluation

• Project management tool• Version management• Not a dumb duplication of data !!• No database administrator needed !!

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Architecture of database tablesVersion managed

OBJECT_ID

SZM_VERSION_REF

CREATED_DATE

....

Scenario spezific results

OBJECT_ID

SZENARIO_REF

CREATED_DATE

....

Parameter lists, constants

C_xxxxx Tabellen

Historical tables

....

.....

VAILD_FROM

VALID_TO

Gültige Version wird vom Referenz-Datum des Szenarios abgeleitet

Valid version is associated in scenario manager.

Versions are organisation specific.

Calculation algorithms(Simulator)

Version managedReports, dimensions

Formulas

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Reporting in different Dimensions

Zeit

Schadstoff

Raum

Branche

Quellkategorie

Szenario

Emissions-daten

Kra

ft-

und

Fern

heiz

wer

ke

Sac

hgüt

erer

zeug

ung

Land

wirt

scha

ft

Priv

ate

Hau

shal

te

Frem

denv

erke

hr

Han

del

Nat

ur

Son

st. o

rtsf

este

Em

itten

ten

Bod

enve

rkeh

r

Was

serv

erke

hr

Luft

verk

ehr

SO2

NMVOC

CO20%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

SO2

NOx

NMVOC

CO

CO2

Staub

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System Architecture Oracle Designer 2000

Repository

Database Oracle 9i

Tomcat Web-Server

Navigator / Browser

Web access for data

Administration

Questionnaires

Upload of data

Configuration is generated

.xml

multi organisation supportVersion management

Web services, SOAP

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Login at the application server

• Java Web Start for automatic software distribution

• Supporting of different clients with different characteristics (ASP concept)

• Platform independent • Distributed computing

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Scenario browser

• Switching scenarios• Configuring scenarios• Browsing input data• Importing and exporting of

data• Filtering and editing• 100% generic browser

controlled by repository in the CASE tool (XML-Description of data model)

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Configuring within a standard CASE tool

• CASE tool as a backbone repository of generic and specific structures

• End users see only configured GUIs• Definition of presentations of data

(Subsets, languages)• Generating of XML-Description of

user interface layout for each supported organization

• Automatic distribution of XML-definitions

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Data access for Office Application through Web Access

1. Copying a prepared URL2. Fix position in MS Excel

3. Authentication to the server4. Receive the results …

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Point Sources

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LinienquellenLine Sources

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FlächenquellenArea Sources

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Special area of interest

1 arc seibersdorf research information technologies for safety, quality and communications 24. 9....

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