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The text on this page is taken from an equivalent page of the IEHIAS-project.

PANGEA is a multi-scale multimedia modelling framework that allows to determine and compare local to global impacts of organic pollutants that undergo a multimedia fate and lead to a multi-pathway exposure of the population. The model core uses a GIS library that allows fast adaptation to specific studies. The purpose of PANGEA is to analyze all relevant impact pathways of different organic contaminants (e.g. persistent organic pollutants, plant protection products) at various spatial scales. The modelling framework is based on a flexible, multi-scale and multi-compartment system for generating multi-scale grids (covering single or a set of environmental media) according to any user defined criterion with the help of GIS processing. This enables the model to automatically project every available data set onto a flexible grid (i.e. adjacent grid cells may have different extensions) and to solve the underlying numerical equations by means of matrix algebra.

Model description


The purpose of PANGEA is to analyze all relevant impact pathways of different organic contaminants (e.g. persistent organic pollutants, plant protection products) at various spatial scales. PANGEA provides risk and/or impact assessments (based on intake fractions) in the form of effect and/or characterisation factors (EFs/CFs) and/or concentration/exposure-response relationships for a set of user-defined environmental compartments as well as for human health from direct and indirect exposure via inhalation and ingestion of food products and drinking water based on releases into the environment. All results can be provided for different user-defined spatial scales at monthly or annual averages.


Field(s) of model: Multimedia; Exposure; Impact Assessment; Integrated Assessment system; Monetary Valuation

Spatial coverage: Global

Spatial resolution: Flexibly spatially differentiated according to various kinds of underlying differentiation schemes, such as rectangular atmospheric grids, riverine catchments, etc.; note that the grids are multiscale, i.e. the size of the grid cells in each grid may vary

Temporal coverage: May vary from days to centuries depending on scenario

Temporal resolution: Steady-state solution; quasi-dynamic solution (by making use of time archetypes)

Pollutants / Stressors / Agents covered: Persistent Organic Pollutants (POPs); Plant protection products; [soon: other organic stressors; heavy metals]

Health effects: Generic cancer and non-cancer effects (taken from LCIA); [soon: dose-response relationships]

Population subgroups considered: Yes, if defined by user

Source types of emissions / sectors: Releases to all environmental media and from all sectors, if defined by user


Data type: Monthly or annual averages, often based on more or less detailed background information (different spatial resolutions of input data possible for the same scenario)

Data sources: Various

Data format: Various

Database type: Geodatabase


Data type: Point estimates

Data sources: Different modules of the PANGEA framework

Data format: Geodatabase; ASCII files; maps Description of processes modelled and of technical details:

Operating System: WINDOWS; [soon: UNIX, LINIX]

Software requirements: MATLAB 2009b or higher; ESRI ArcGIS 9.3.1 or higher; Pyhton 2.6 or higher

Developed by: PANGEA is being developed conjointly by the School of Public Health (SPH), University of Michigan, United States, and the Institute of Energy Economics and the Rational Use of Energy (IER), University of Stuttgart, Germany

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty