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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). Overview. Emission inventory in general Special IT problems in these tasks

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multiple dependencies and scenario management in emission inventories

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)

overview
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
general tasks of calculation are very simple
General tasks of calculation are very simple

Input Data

Questionnaire

Statistics

Emission Factors

Temporal Resolution

Spatial Resolution

Models

emiCO = activityX * emifactCO

Results

Point / Line / Area Emission for SO2, Nox, NMVOC, CO, CO2 and PM10

approaches for estimation
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
special it problems in these tasks i
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, …)
special it problems in these tasks ii
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
special it problems in these tasks iii
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
all is changing
All is changing

S

S

S

S

S

C

C

C

C

C

E

E

E

E

E

N

N

N

N

N

A

A

A

A

A

R

R

R

R

R

I

I

I

I

I

O

O

O

O

O

scenarios and groups
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
scenario manager
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 !!
architecture of database tables
Architecture of database tables

Version managed

Parameter lists, constants

Historical tables

OBJECT_ID

SZM_VERSION_REF

CREATED_DATE

....

C_xxxxx Tabellen

....

.....

VAILD_FROM

VALID_TO

Valid version is associated in scenario manager.

Versions are organisation specific.

Gültige Version wird vom Referenz-Datum des Szenarios abgeleitet

Calculation algorithms(Simulator)

Version managed

Scenario spezific results

Reports, dimensions

OBJECT_ID

SZENARIO_REF

CREATED_DATE

....

Formulas

system architecture
System Architecture

Oracle Designer 2000

Repository

Configuration is generated

.xml

Navigator / Browser

Web access for data

Administration

Questionnaires

Upload of data

Database Oracle 9i

Tomcat Web-Server

multi organisation supportVersion management

Web services, SOAP

login at the application server
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
scenario browser
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)
configuring within a standard case tool
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
data access for office application through web access

2. Fix position in MS Excel

1. Copying a prepared URL

3. Authentication to the server

4. Receive the results …

Data access for Office Application through Web Access
line sources
Line Sources

Linienquellen

area sources
Area Sources

Flächenquellen