Information needs in assessment design

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

A wide range of data are often needed to support an integrated impact assessment, either as inputs to the modelling or as a means of validating the results. These include data on:

  • Sources (e.g. land use, economic activities, geology, soils, vegetation);
  • Releases (e.g. emissions to air, water or soil);
  • Environmental concentrations or states (e.g. pollutant concentrations, extent and intensity of natural hazards) or the environmental processes and conditions (e.g. meteorology, land cover, topography) needed to calculate them;
  • Exposures (or the population distributions and time activity patterns needed to estimate them);
  • Exposure-response functions;
  • Background health rates;
  • Impact weights (e.g. disease severity weights, monetary weights, discount rates).

The extent to which these are available (and affordable), and their quality, will inevitably condition the way the assessment is designed. On the other hand, evaluating what information is available and assessing their utility can be extremely time-consuming, so is only worth doing in detail once a decision has been made to proceed with a full assessment (i.e. after screening has been completed and evidence has been gained that significant health impacts are likely to occur). Initially, therefore, we may need to rely on what we already know about information availability, or what we can quickly glean from readily available sources, such as online data inventories and metadatabases, or published reviews.

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