Talk:IEHIAS: Difference between revisions
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|+ '''Plan to move IEHIEAS pages | |+ '''Plan to move IEHIEAS pages | ||
!Original page !! New page !! Status | !Original page !! New page !! Status | ||
|----- | |--- | ||
| || || | |colspan="3"| Toolkit | ||
|--- | |||
|Toolkit | |||
|--- | |||
|Data | |||
|--- | |||
|Context | |||
|--- | |||
|Geographic | |||
|--- | |||
|Administrative | |||
|--- | |||
|Topography | |||
|--- | |||
|Population / Demography | |||
|--- | |||
|Population numbers/distribution | |||
|--- | |||
|EU population: Eurostat | |||
|--- | |||
|EU age/sex stratified population: 100 metre grid | |||
|--- | |||
|Administrative boundaries - EuroBoundaryMap | |||
|--- | |||
|EU age/sex stratified population: LAU2 | |||
|--- | |||
|EU population totals: 100 metre grid | |||
|--- | |||
|EU age- and gender- stratified population data: EMEP grid (2010, 2020, 2030 and 2050) | |||
|--- | |||
|Behaviour / Lifestyle | |||
|--- | |||
|Socio-economic status | |||
|--- | |||
|Environmental | |||
|--- | |||
|General environmental data sources | |||
|--- | |||
|ExpoPlatform: Web based platform for exposure assessment | |||
|--- | |||
|Agents | |||
|--- | |||
|Chemicals | |||
|--- | |||
|Heavy metals | |||
|--- | |||
|POPS | |||
|--- | |||
|Radiation | |||
|--- | |||
|Wastes | |||
|--- | |||
|Electromagnetic radiation | |||
|--- | |||
|Noise | |||
|--- | |||
|Sources | |||
|--- | |||
|Infrastructure | |||
|--- | |||
|Activities | |||
|--- | |||
|Land cover / use | |||
|--- | |||
|Releases | |||
|--- | |||
|Emission factors | |||
|--- | |||
|Emission factors for agriculture | |||
|--- | |||
|Emission scenarios | |||
|--- | |||
|Emissions | |||
|--- | |||
|Environmental media / processes | |||
|--- | |||
|Air pollution | |||
|--- | |||
|Climate/meteorology | |||
|--- | |||
|Indoor environments | |||
|--- | |||
|Soil | |||
|--- | |||
|Water quality | |||
|--- | |||
|Exposure / Dose | |||
|--- | |||
|Exposure | |||
|--- | |||
|Intake / dose | |||
|--- | |||
|Biomarkers | |||
|--- | |||
|ExpoPlatform: Intake fractions | |||
|--- | |||
|Effects and impacts | |||
|--- | |||
|Exposure-response relationships | |||
|--- | |||
|Exposure / Dose / Concentration response functions | |||
|--- | |||
|Toxicology | |||
|--- | |||
|Health effects | |||
|--- | |||
|Morbidity | |||
|--- | |||
|Mortality | |||
|--- | |||
|European Detailed Mortality Database | |||
|--- | |||
|Impacts | |||
|--- | |||
|Monetary weights and values | |||
|--- | |||
|Severity weights | |||
|--- | |||
|Examples and case studies | |||
|--- | |||
|Examples of assessment methods | |||
|--- | |||
|Issue-framing | |||
|--- | |||
|Defining the question: an example from agriculture | |||
|--- | |||
|Defining the question: an example from waste | |||
|--- | |||
|Defining the question: an example from water | |||
|--- | |||
|Stakeholder consultation and engagement | |||
|--- | |||
|Defining the stakeholders: an example from agriculture | |||
|--- | |||
|Defining the stakeholders: an example from waste | |||
|--- | |||
|Defining the stakeholders: an example from water | |||
|--- | |||
|Engaging stakeholders: an example from water | |||
|--- | |||
|Scenarios | |||
|--- | |||
|Creating scenarios: an example from agriculture | |||
|--- | |||
|Main crop scenarios | |||
|--- | |||
|The impacts of the CAP | |||
|--- | |||
|Crop allocation | |||
|--- | |||
|Energy crop scenarios | |||
|--- | |||
|Creating scenarios: an example from transport | |||
|--- | |||
|Creating scenarios: an example from waste | |||
|--- | |||
|Downscaling IPCC SRES-population scenarios from OECD- to the city-level: London, Rome, Helsinki | |||
|--- | |||
|Creating scenarios: an example for UVR and skin cancer | |||
|--- | |||
|Creating scenarios: an example from water | |||
|--- | |||
|Scoping | |||
|--- | |||
|Building conceptual models: an example from agriculture | |||
|--- | |||
|A mind-map | |||
|--- | |||
|A systems diagram | |||
|--- | |||
|Customising the causal chain: an example from agriculture | |||
|--- | |||
|Building a conceptual model: the example of transport | |||
|--- | |||
|Scoping the assessment: ultraviolet radiation (UVR) and future skin cancer | |||
|--- | |||
|Indicator selection | |||
|--- | |||
|Building indicators: an example from agriculture | |||
|--- | |||
|Computation of health impact indicators for agriculture | |||
|--- | |||
|Human biomonitoring | |||
|--- | |||
|Case study lead in Europe | |||
|--- | |||
|Exploring the full-chain approach for PAHs using 2 case studies in Flanders and the Czech Republic | |||
|--- | |||
|The Benchmark Dose (BMD) approach for health effects of PCB exposure | |||
|--- | |||
|Case study PCBs in Slovak Republic | |||
|--- | |||
|Population modelling | |||
|--- | |||
|Spatial population modelling: an example using dasymetric disaggregation | |||
|--- | |||
|Population map: dasymetric disaggregation | |||
|--- | |||
|Source characterisation | |||
|--- | |||
|Characterising source intensity: an example from agriculture | |||
|--- | |||
|Modelling road transport: examples from the Hague and Helsinki | |||
|--- | |||
|Network modelling: modelling waste transport | |||
|--- | |||
|Route modelling | |||
|--- | |||
|Estimating traffic (truck) volumes | |||
|--- | |||
|Mask area weighting: an example for pesticides | |||
|--- | |||
|Pesticide maps: mask area weighting | |||
|--- | |||
|Stochastic allocation: an example for pesticides | |||
|--- | |||
|Pesticide maps: stochastic allocation | |||
|--- | |||
|Emission modelling | |||
|--- | |||
|Modelling contaminant release: an example from agriculture | |||
|--- | |||
|Modelling contaminant releases: an example from waste | |||
|--- | |||
|Environmental transport and transformation | |||
|--- | |||
|Dispersion modelling: an example from agriculture | |||
|--- | |||
|Dispersion modelling: an example from waste | |||
|--- | |||
|Dispersion modelling; an example from transport | |||
|--- | |||
|Focal sum modelling: an example for agriculture | |||
|--- | |||
|Land use regression modelling: air pollution in Great Britain | |||
|--- | |||
|Modelling ultraviolet radiation exposures: a European case study | |||
|--- | |||
|Using a Kalman filter to improve a real time air pollution model | |||
|--- | |||
|Exposure modelling | |||
|--- | |||
|Intake and dose | |||
|--- | |||
|Intake fraction: exposure to pesticides in food | |||
|--- | |||
|Intake fractions of cadmium emissions from a large zinc smelter | |||
|--- | |||
|Using a PBPK model to assess population exposure to cadmium | |||
|--- | |||
|Deriving exposure-response functions | |||
|--- | |||
|Combining epidemiology and toxicology for the purpose of deriving ERFs: TCDD-induced dental aberrations | |||
|--- | |||
|Expert elicitation: case study on ultrafine particles | |||
|--- | |||
|Estimating-exposure response functions: an example from transport | |||
|--- | |||
|Estimating exposure-response functions: pesticides, PM and endotoxins from agriculture | |||
|--- | |||
|Health effects | |||
|--- | |||
|Estimating baseline skin cancer incidence for London, Helsinki and Rome | |||
|--- | |||
|Estimating health effects: UVR and skin cancer | |||
|--- | |||
|Health impact modelling: ultraviolet radiation and non-melanoma skin cancer | |||
|--- | |||
|Health impact modelling: ultraviolet radiation and melanoma skin cancer | |||
|--- | |||
|Calculating attributable cancer incidence: an example from waste | |||
|--- | |||
|Estimating health effects: an example from waste | |||
|--- | |||
|Impact analysis | |||
|--- | |||
|Calculating DALYs: an example from waste | |||
|--- | |||
|DALY calculations: UVR and skin cancer | |||
|--- | |||
|Impact analysis: an example from transport | |||
|--- | |||
|Uncertainty analysis | |||
|--- | |||
|Qualitative uncertainty assessment: a worked example | |||
|--- | |||
|Uncertainty in the agriculture case study | |||
|--- | |||
|Sensitivity analysis: ultraviolet radiation (UVR) and skin cancer | |||
|--- | |||
|Uncertainty analysis: an example from waste | |||
|--- | |||
|Examples of integrated assessments | |||
|--- | |||
|Changing ambient UVR and future melanoma and non-melanoma skin cancer in London, Rome and Helsinki | |||
|--- | |||
|Changing ambient UVR and future skin cancer in London, Rome and Helsinki: melanoma skin cancer (CMM) | |||
|--- | |||
|Changing ambient UVR and future skin cancer in London, Rome and Helsinki: non-melanoma skin cancer (BCC and SCC) | |||
|--- | |||
|Health effects of waste management | |||
|--- | |||
|Integrated assessment of heavy metal releases in Europe | |||
|--- | |||
|Models and methods | |||
|--- | |||
|Issue framing tools | |||
|-- | |||
|Indicator selection: a protocol | |||
|--- | |||
|Mind-mapping tools | |||
|--- | |||
|Tools for building system diagrams | |||
|--- | |||
|Collaborative assessment | |||
|--- | |||
|Protocol on stakeholder involvement | |||
|--- | |||
|Scenario modelling | |||
|--- | |||
|Tools for scenario construction | |||
|--- | |||
|Screening tools | |||
|--- | |||
|Spatial analysis and visualisation | |||
|--- | |||
|Focal sum modelling | |||
|--- | |||
|Land use regression | |||
|--- | |||
|Spatial visualisation toolbox | |||
|--- | |||
|Urban simulator - SIENA | |||
|--- | |||
|SIENA - data | |||
|--- | |||
|SIENA - data description | |||
|--- | |||
|Population modelling | |||
|--- | |||
|Source apportionment models | |||
|--- | |||
|Chemical mass balance models | |||
|--- | |||
|Positive matrix factorisation | |||
|--- | |||
|Principal components analysis | |||
|--- | |||
|Emission models | |||
|--- | |||
|Air pollution models | |||
|--- | |||
|ADMS-Urban | |||
|--- | |||
|CAR-International | |||
|--- | |||
|CHIMERE | |||
|--- | |||
|EcoSenseWeb | |||
|--- | |||
|Hydrological and water quality models | |||
|--- | |||
|List of hydrological and water quality models | |||
|--- | |||
|Noise models | |||
|--- | |||
|Electro-magnetic radiation models | |||
|--- | |||
|EMF path loss models | |||
|--- | |||
|Geomorf - Geographical Model of Radio-Frequency Power Density | |||
|--- | |||
|UV radiation models | |||
|--- | |||
|Ultraviolet radiation models and online simulation tools | |||
|--- | |||
|Micro-environmental models | |||
|--- | |||
|CONTAM | |||
|--- | |||
|INDEX: Indoor Exposure Model | |||
|--- | |||
|RISK IAQ model | |||
|--- | |||
|Multi-media models | |||
|--- | |||
|CalTOX | |||
|--- | |||
|PANGEA | |||
|--- | |||
|dynamiCROP | |||
|--- | |||
|Exposure, intake and dose models | |||
|--- | |||
|IndusChemFate - a generic PBPK model | |||
|--- | |||
|PBPK model for cadmium | |||
|--- | |||
|Physiologically based toxicokinetic (PBTK) model for dioxin | |||
|--- | |||
|Exposure-response function methodology | |||
|--- | |||
|Exposure-response functions protocol | |||
|--- | |||
|Exposure-response functions: protocol and guidelines | |||
|--- | |||
|Impact analysis methods and tools | |||
|--- | |||
|Impact calculation tool | |||
|--- | |||
|Uncertainty analysis methods and tools | |||
|--- | |||
|Aguila | |||
|--- | |||
|Protocol on expert elicitation | |||
|--- | |||
|Value of information | |||
|--- | |||
|Generic assessment tools | |||
|--- | |||
|Decision Support Tools metadatabase | |||
|--- | |||
|Monitoring methods | |||
|--- | |||
|Framework for Integrated Monitoring | |||
|--- | |||
|Overview of existing integrated E & H monitoring programs | |||
|--- | |||
|Overview of existing integrated E & H frameworks | |||
|--- | |||
|Concepts For Integrated monitoring | |||
|--- | |||
|Conceptual framework for integrated monitoring | |||
|--- | |||
|Structural framework for integrated monitoring | |||
|--- | |||
|Methods for data integration | |||
|--- | |||
|Development needs for integrated monitoring | |||
|--- | |||
|Case study PAHs in Czech Republic | |||
|--- | |||
|Human biomonitoring | |||
|--- | |||
|Listings | |||
|--- | |||
|Case study summary reports | |||
|--- | |||
|Health impacts of agricultural land use change in Greece and Great Britain | |||
|--- | |||
|Health impacts of regulative policies on use of di-n-butylphthalate (DBP) in consumer products | |||
|--- | |||
|Models and tools | |||
|--- | |||
|Worked examples of assessment techniques | |||
|--- | |||
|Worked examples of complete assessments | |||
|--- | |||
|colspan="3"| Guidance System | |||
|--- | |||
|Guidance System | |||
|--- | |||
|The concept | |||
|--- | |||
|The need for IEHIA | |||
|--- | |||
|IEHIA in relation to other assessment methodologies | |||
|--- | |||
|Hazards and benefits | |||
|--- | |||
|Steps in IEHIA | |||
|--- | |||
|Issue framing | |||
|--- | |||
|Challenges in issue framing | |||
|--- | |||
|Defining the question | |||
|--- | |||
|Who defines the question? | |||
|--- | |||
|What types of questions can be assessed? | |||
|--- | |||
|Consulting with stakeholders | |||
|--- | |||
|Types of stakeholder | |||
|--- | |||
|Engaging stakeholders | |||
|--- | |||
|Methods for stakeholder engagement | |||
|--- | |||
|Open assessment | |||
|--- | |||
|Formulating scenarios | |||
|--- | |||
|The role of scenarios | |||
|--- | |||
|Scenarios and the causal chain | |||
|--- | |||
|Types of scenario | |||
|--- | |||
|Prescriptive scenarios | |||
|--- | |||
|Descriptive scenarios | |||
|--- | |||
|Predictive scenarios | |||
|--- | |||
|Probabilistic scenarios | |||
|--- | |||
|Creating scenarios for IEHIA | |||
|--- | |||
|European policy scenarios | |||
|--- | |||
|Scoping the assessment | |||
|--- | |||
|Building a conceptual model | |||
|--- | |||
|Setting boundaries | |||
|--- | |||
|Guidelines on boundary setting | |||
|--- | |||
|Mind-maps | |||
|--- | |||
|System diagrams | |||
|--- | |||
|The causal chain | |||
|--- | |||
|Expanding the causal chain | |||
|--- | |||
|Customising the causal chain | |||
|--- | |||
|Other conceptual frameworks | |||
|--- | |||
|The DPSIR framework | |||
|--- | |||
|The DPSEEA framework | |||
|--- | |||
|The MEME framework | |||
|--- | |||
|Selecting indicators | |||
|--- | |||
|Types of indicator | |||
|--- | |||
|Position in the causal chain | |||
|--- | |||
|DALYs and QALYs | |||
|--- | |||
|Monetary costs | |||
|--- | |||
|Structure | |||
|--- | |||
|Perspective | |||
|--- | |||
|Building good indicators | |||
|--- | |||
|Design | |||
|--- | |||
|Key issues in design | |||
|--- | |||
|Learning from examples | |||
|--- | |||
|Accuracy and uncertainty | |||
|--- | |||
|Dealing with complex exposures | |||
|--- | |||
|Dealing with complex exposures: an example for water | |||
|--- | |||
|Matching exposure and health metrics | |||
|--- | |||
|Information needs | |||
|--- | |||
|Vulnerable and susceptible groups | |||
|--- | |||
|Socio-economic status | |||
|--- | |||
|Value systems | |||
|--- | |||
|Geographic variation | |||
|--- | |||
|Geographic location and extent | |||
|--- | |||
|Spatial resolution | |||
|--- | |||
|Effects of spatial resolution: worked example | |||
|--- | |||
|Zone design | |||
|--- | |||
|Timeframe | |||
|--- | |||
|Ethical issues: environmental justice | |||
|--- | |||
|Screening | |||
|--- | |||
|Expert estimation | |||
|--- | |||
|Expert elicitation methodology | |||
|--- | |||
|Delphi surveys | |||
|--- | |||
|Extrapolation | |||
|--- | |||
|Transferring results from other studies | |||
|--- | |||
|Temporal (trend) extrapolation methods | |||
|--- | |||
|Spatial interpolation and extrapolation methods | |||
|--- | |||
|Triangulation | |||
|--- | |||
|Rapid modelling | |||
|--- | |||
|Proxies | |||
|--- | |||
|Proxies: the example of traffic-related air pollution | |||
|--- | |||
|Analogues | |||
|--- | |||
|Developing simple models | |||
|--- | |||
|Intake fractions | |||
|--- | |||
|Piloting | |||
|--- | |||
|Finding and evaluating data | |||
|--- | |||
|Environmental and exposure data | |||
|--- | |||
|Representivity of environmental monitoring networks | |||
|--- | |||
|Exposure-response functions | |||
|--- | |||
|Human biomonitoring data | |||
|--- | |||
|Case studies in human biomonitoring | |||
|--- | |||
|Interpreting human biomonitoring data | |||
|--- | |||
|Population, demographic and socio-economic data | |||
|--- | |||
|Health data | |||
|--- | |||
|Selecting and evaluating models | |||
|--- | |||
|Model linkage | |||
|--- | |||
|Defining and describing uncertainties | |||
|--- | |||
|Framework for uncertainty classification | |||
|--- | |||
|Location of uncertainty | |||
|--- | |||
|Protocol development | |||
|--- | |||
|Examples of assessment protocols | |||
|--- | |||
|Execution | |||
|--- | |||
|Managing the assessment | |||
|--- | |||
|Collaborating on an assessment | |||
|--- | |||
|Liaising with stakeholders | |||
|--- | |||
|Participating in assessment | |||
|--- | |||
|Documentation and auditing | |||
|--- | |||
|Data management | |||
|--- | |||
|Managing uncertainties | |||
|--- | |||
|Assessment performance | |||
|--- | |||
|Modelling the causal chain | |||
|--- | |||
|Contaminant sources | |||
|--- | |||
|Characterising sources | |||
|--- | |||
|Data sources | |||
|--- | |||
|Source distribution | |||
|--- | |||
|Source intensity | |||
|--- | |||
|Modelling source activity | |||
|--- | |||
|Spatial disaggregation | |||
|--- | |||
|Contaminant release | |||
|--- | |||
|Release pathways and processes | |||
|--- | |||
|Release inventories | |||
|--- | |||
|Modelling contaminant releases | |||
|--- | |||
|Development of emission scenarios | |||
|--- | |||
|Development of emission mitigation scenarios | |||
|--- | |||
|Emission factors | |||
|--- | |||
|Transport and transformation in environmental media | |||
|--- | |||
|Air pollution | |||
|--- | |||
|Atmospheric dispersion models | |||
|--- | |||
|Statistical air pollution models | |||
|--- | |||
|Indoor air pollution models | |||
|--- | |||
|Water quality | |||
|--- | |||
|Non-ionising radiation | |||
|--- | |||
|Noise | |||
|--- | |||
|GIS-based models | |||
|--- | |||
|Source attribution | |||
|--- | |||
|Multimedia models | |||
|--- | |||
|Exposure, intake and uptake | |||
|--- | |||
|Exposure modelling | |||
|--- | |||
|Population modelling | |||
|--- | |||
|Exposure factors | |||
|--- | |||
|Intake fractions | |||
|--- | |||
|Consumer products exposure models | |||
|--- | |||
|Time micro-environment activity modelling | |||
|--- | |||
|Exposure-to-intake modelling | |||
|--- | |||
|Internal dose estimation | |||
|--- | |||
|PBPK modelling | |||
|--- | |||
|Health effects | |||
|--- | |||
|Estimating exposure-response functions | |||
|--- | |||
|Estimating health effects | |||
|--- | |||
|Impact analysis | |||
|--- | |||
|Key issues in impact analysis | |||
|--- | |||
|Methods and measures for impact analysis | |||
|--- | |||
|Health-based impact measures | |||
|--- | |||
|Monetisation methods | |||
|--- | |||
|Deriving and applying monetary values | |||
|--- | |||
|Deriving non-market values | |||
|--- | |||
|Discounting | |||
|--- | |||
|Value transfers | |||
|--- | |||
|Treatment of uncertainty | |||
|--- | |||
|Uncertainty analysis | |||
|--- | |||
|Framework for uncertainty classification | |||
|--- | |||
|Methods for uncertainty analysis | |||
|--- | |||
|Value of information | |||
|--- | |||
|Appraisal | |||
|--- | |||
|Reporting assessment results | |||
|--- | |||
|Myths in risk communication | |||
|--- | |||
|Designing effective assessment reports | |||
|--- | |||
|Indicator scorecards | |||
|--- | |||
|Mapping | |||
|--- | |||
|Effective map design | |||
|--- | |||
|Comparing and ranking outcomes | |||
|--- | |||
|Cost-effectiveness analysis | |||
|--- | |||
|Cost-benefit analysis | |||
|--- | |||
|Multi-criteria assessment | |||
|--- | |||
|colspan="3"|Help | |||
|--- | |||
|Help | |||
|--- | |||
|About the IEHIAS | |||
|--- | |||
|Structure | |||
|--- | |||
|User groups | |||
|--- | |||
|Users and permissions | |||
|--- | |||
|Editing your user account | |||
|--- | |||
|Contributing to IEHIAS | |||
|--- | |||
|Content types | |||
|--- | |||
|Where to put the contributed pages? | |||
|--- | |||
|Glossary | |||
|--- | |||
|Tutorials | |||
|--- | |||
|Tutorial: Text editor | |||
|--- | |||
|Tutorial: Using the "Read more" Style | |||
|--- | |||
|Tutorial: How to insert hyperlinks | |||
|--- | |||
|Tutorial: Creating equations | |||
|} | |} |
Revision as of 11:09, 4 August 2014
Original page | New page | Status |
---|---|---|
Toolkit | ||
Toolkit | ||
Data | ||
Context | ||
Geographic | ||
Administrative | ||
Topography | ||
Population / Demography | ||
Population numbers/distribution | ||
EU population: Eurostat | ||
EU age/sex stratified population: 100 metre grid | ||
Administrative boundaries - EuroBoundaryMap | ||
EU age/sex stratified population: LAU2 | ||
EU population totals: 100 metre grid | ||
EU age- and gender- stratified population data: EMEP grid (2010, 2020, 2030 and 2050) | ||
Behaviour / Lifestyle | ||
Socio-economic status | ||
Environmental | ||
General environmental data sources | ||
ExpoPlatform: Web based platform for exposure assessment | ||
Agents | ||
Chemicals | ||
Heavy metals | ||
POPS | ||
Radiation | ||
Wastes | ||
Electromagnetic radiation | ||
Noise | ||
Sources | ||
Infrastructure | ||
Activities | ||
Land cover / use | ||
Releases | ||
Emission factors | ||
Emission factors for agriculture | ||
Emission scenarios | ||
Emissions | ||
Environmental media / processes | ||
Air pollution | ||
Climate/meteorology | ||
Indoor environments | ||
Soil | ||
Water quality | ||
Exposure / Dose | ||
Exposure | ||
Intake / dose | ||
Biomarkers | ||
ExpoPlatform: Intake fractions | ||
Effects and impacts | ||
Exposure-response relationships | ||
Exposure / Dose / Concentration response functions | ||
Toxicology | ||
Health effects | ||
Morbidity | ||
Mortality | ||
European Detailed Mortality Database | ||
Impacts | ||
Monetary weights and values | ||
Severity weights | ||
Examples and case studies | ||
Examples of assessment methods | ||
Issue-framing | ||
Defining the question: an example from agriculture | ||
Defining the question: an example from waste | ||
Defining the question: an example from water | ||
Stakeholder consultation and engagement | ||
Defining the stakeholders: an example from agriculture | ||
Defining the stakeholders: an example from waste | ||
Defining the stakeholders: an example from water | ||
Engaging stakeholders: an example from water | ||
Scenarios | ||
Creating scenarios: an example from agriculture | ||
Main crop scenarios | ||
The impacts of the CAP | ||
Crop allocation | ||
Energy crop scenarios | ||
Creating scenarios: an example from transport | ||
Creating scenarios: an example from waste | ||
Downscaling IPCC SRES-population scenarios from OECD- to the city-level: London, Rome, Helsinki | ||
Creating scenarios: an example for UVR and skin cancer | ||
Creating scenarios: an example from water | ||
Scoping | ||
Building conceptual models: an example from agriculture | ||
A mind-map | ||
A systems diagram | ||
Customising the causal chain: an example from agriculture | ||
Building a conceptual model: the example of transport | ||
Scoping the assessment: ultraviolet radiation (UVR) and future skin cancer | ||
Indicator selection | ||
Building indicators: an example from agriculture | ||
Computation of health impact indicators for agriculture | ||
Human biomonitoring | ||
Case study lead in Europe | ||
Exploring the full-chain approach for PAHs using 2 case studies in Flanders and the Czech Republic | ||
The Benchmark Dose (BMD) approach for health effects of PCB exposure | ||
Case study PCBs in Slovak Republic | ||
Population modelling | ||
Spatial population modelling: an example using dasymetric disaggregation | ||
Population map: dasymetric disaggregation | ||
Source characterisation | ||
Characterising source intensity: an example from agriculture | ||
Modelling road transport: examples from the Hague and Helsinki | ||
Network modelling: modelling waste transport | ||
Route modelling | ||
Estimating traffic (truck) volumes | ||
Mask area weighting: an example for pesticides | ||
Pesticide maps: mask area weighting | ||
Stochastic allocation: an example for pesticides | ||
Pesticide maps: stochastic allocation | ||
Emission modelling | ||
Modelling contaminant release: an example from agriculture | ||
Modelling contaminant releases: an example from waste | ||
Environmental transport and transformation | ||
Dispersion modelling: an example from agriculture | ||
Dispersion modelling: an example from waste | ||
Dispersion modelling; an example from transport | ||
Focal sum modelling: an example for agriculture | ||
Land use regression modelling: air pollution in Great Britain | ||
Modelling ultraviolet radiation exposures: a European case study | ||
Using a Kalman filter to improve a real time air pollution model | ||
Exposure modelling | ||
Intake and dose | ||
Intake fraction: exposure to pesticides in food | ||
Intake fractions of cadmium emissions from a large zinc smelter | ||
Using a PBPK model to assess population exposure to cadmium | ||
Deriving exposure-response functions | ||
Combining epidemiology and toxicology for the purpose of deriving ERFs: TCDD-induced dental aberrations | ||
Expert elicitation: case study on ultrafine particles | ||
Estimating-exposure response functions: an example from transport | ||
Estimating exposure-response functions: pesticides, PM and endotoxins from agriculture | ||
Health effects | ||
Estimating baseline skin cancer incidence for London, Helsinki and Rome | ||
Estimating health effects: UVR and skin cancer | ||
Health impact modelling: ultraviolet radiation and non-melanoma skin cancer | ||
Health impact modelling: ultraviolet radiation and melanoma skin cancer | ||
Calculating attributable cancer incidence: an example from waste | ||
Estimating health effects: an example from waste | ||
Impact analysis | ||
Calculating DALYs: an example from waste | ||
DALY calculations: UVR and skin cancer | ||
Impact analysis: an example from transport | ||
Uncertainty analysis | ||
Qualitative uncertainty assessment: a worked example | ||
Uncertainty in the agriculture case study | ||
Sensitivity analysis: ultraviolet radiation (UVR) and skin cancer | ||
Uncertainty analysis: an example from waste | ||
Examples of integrated assessments | ||
Changing ambient UVR and future melanoma and non-melanoma skin cancer in London, Rome and Helsinki | ||
Changing ambient UVR and future skin cancer in London, Rome and Helsinki: melanoma skin cancer (CMM) | ||
Changing ambient UVR and future skin cancer in London, Rome and Helsinki: non-melanoma skin cancer (BCC and SCC) | ||
Health effects of waste management | ||
Integrated assessment of heavy metal releases in Europe | ||
Models and methods | ||
Issue framing tools | ||
Indicator selection: a protocol | ||
Mind-mapping tools | ||
Tools for building system diagrams | ||
Collaborative assessment | ||
Protocol on stakeholder involvement | ||
Scenario modelling | ||
Tools for scenario construction | ||
Screening tools | ||
Spatial analysis and visualisation | ||
Focal sum modelling | ||
Land use regression | ||
Spatial visualisation toolbox | ||
Urban simulator - SIENA | ||
SIENA - data | ||
SIENA - data description | ||
Population modelling | ||
Source apportionment models | ||
Chemical mass balance models | ||
Positive matrix factorisation | ||
Principal components analysis | ||
Emission models | ||
Air pollution models | ||
ADMS-Urban | ||
CAR-International | ||
CHIMERE | ||
EcoSenseWeb | ||
Hydrological and water quality models | ||
List of hydrological and water quality models | ||
Noise models | ||
Electro-magnetic radiation models | ||
EMF path loss models | ||
Geomorf - Geographical Model of Radio-Frequency Power Density | ||
UV radiation models | ||
Ultraviolet radiation models and online simulation tools | ||
Micro-environmental models | ||
CONTAM | ||
INDEX: Indoor Exposure Model | ||
RISK IAQ model | ||
Multi-media models | ||
CalTOX | ||
PANGEA | ||
dynamiCROP | ||
Exposure, intake and dose models | ||
IndusChemFate - a generic PBPK model | ||
PBPK model for cadmium | ||
Physiologically based toxicokinetic (PBTK) model for dioxin | ||
Exposure-response function methodology | ||
Exposure-response functions protocol | ||
Exposure-response functions: protocol and guidelines | ||
Impact analysis methods and tools | ||
Impact calculation tool | ||
Uncertainty analysis methods and tools | ||
Aguila | ||
Protocol on expert elicitation | ||
Value of information | ||
Generic assessment tools | ||
Decision Support Tools metadatabase | ||
Monitoring methods | ||
Framework for Integrated Monitoring | ||
Overview of existing integrated E & H monitoring programs | ||
Overview of existing integrated E & H frameworks | ||
Concepts For Integrated monitoring | ||
Conceptual framework for integrated monitoring | ||
Structural framework for integrated monitoring | ||
Methods for data integration | ||
Development needs for integrated monitoring | ||
Case study PAHs in Czech Republic | ||
Human biomonitoring | ||
Listings | ||
Case study summary reports | ||
Health impacts of agricultural land use change in Greece and Great Britain | ||
Health impacts of regulative policies on use of di-n-butylphthalate (DBP) in consumer products | ||
Models and tools | ||
Worked examples of assessment techniques | ||
Worked examples of complete assessments | ||
Guidance System | ||
Guidance System | ||
The concept | ||
The need for IEHIA | ||
IEHIA in relation to other assessment methodologies | ||
Hazards and benefits | ||
Steps in IEHIA | ||
Issue framing | ||
Challenges in issue framing | ||
Defining the question | ||
Who defines the question? | ||
What types of questions can be assessed? | ||
Consulting with stakeholders | ||
Types of stakeholder | ||
Engaging stakeholders | ||
Methods for stakeholder engagement | ||
Open assessment | ||
Formulating scenarios | ||
The role of scenarios | ||
Scenarios and the causal chain | ||
Types of scenario | ||
Prescriptive scenarios | ||
Descriptive scenarios | ||
Predictive scenarios | ||
Probabilistic scenarios | ||
Creating scenarios for IEHIA | ||
European policy scenarios | ||
Scoping the assessment | ||
Building a conceptual model | ||
Setting boundaries | ||
Guidelines on boundary setting | ||
Mind-maps | ||
System diagrams | ||
The causal chain | ||
Expanding the causal chain | ||
Customising the causal chain | ||
Other conceptual frameworks | ||
The DPSIR framework | ||
The DPSEEA framework | ||
The MEME framework | ||
Selecting indicators | ||
Types of indicator | ||
Position in the causal chain | ||
DALYs and QALYs | ||
Monetary costs | ||
Structure | ||
Perspective | ||
Building good indicators | ||
Design | ||
Key issues in design | ||
Learning from examples | ||
Accuracy and uncertainty | ||
Dealing with complex exposures | ||
Dealing with complex exposures: an example for water | ||
Matching exposure and health metrics | ||
Information needs | ||
Vulnerable and susceptible groups | ||
Socio-economic status | ||
Value systems | ||
Geographic variation | ||
Geographic location and extent | ||
Spatial resolution | ||
Effects of spatial resolution: worked example | ||
Zone design | ||
Timeframe | ||
Ethical issues: environmental justice | ||
Screening | ||
Expert estimation | ||
Expert elicitation methodology | ||
Delphi surveys | ||
Extrapolation | ||
Transferring results from other studies | ||
Temporal (trend) extrapolation methods | ||
Spatial interpolation and extrapolation methods | ||
Triangulation | ||
Rapid modelling | ||
Proxies | ||
Proxies: the example of traffic-related air pollution | ||
Analogues | ||
Developing simple models | ||
Intake fractions | ||
Piloting | ||
Finding and evaluating data | ||
Environmental and exposure data | ||
Representivity of environmental monitoring networks | ||
Exposure-response functions | ||
Human biomonitoring data | ||
Case studies in human biomonitoring | ||
Interpreting human biomonitoring data | ||
Population, demographic and socio-economic data | ||
Health data | ||
Selecting and evaluating models | ||
Model linkage | ||
Defining and describing uncertainties | ||
Framework for uncertainty classification | ||
Location of uncertainty | ||
Protocol development | ||
Examples of assessment protocols | ||
Execution | ||
Managing the assessment | ||
Collaborating on an assessment | ||
Liaising with stakeholders | ||
Participating in assessment | ||
Documentation and auditing | ||
Data management | ||
Managing uncertainties | ||
Assessment performance | ||
Modelling the causal chain | ||
Contaminant sources | ||
Characterising sources | ||
Data sources | ||
Source distribution | ||
Source intensity | ||
Modelling source activity | ||
Spatial disaggregation | ||
Contaminant release | ||
Release pathways and processes | ||
Release inventories | ||
Modelling contaminant releases | ||
Development of emission scenarios | ||
Development of emission mitigation scenarios | ||
Emission factors | ||
Transport and transformation in environmental media | ||
Air pollution | ||
Atmospheric dispersion models | ||
Statistical air pollution models | ||
Indoor air pollution models | ||
Water quality | ||
Non-ionising radiation | ||
Noise | ||
GIS-based models | ||
Source attribution | ||
Multimedia models | ||
Exposure, intake and uptake | ||
Exposure modelling | ||
Population modelling | ||
Exposure factors | ||
Intake fractions | ||
Consumer products exposure models | ||
Time micro-environment activity modelling | ||
Exposure-to-intake modelling | ||
Internal dose estimation | ||
PBPK modelling | ||
Health effects | ||
Estimating exposure-response functions | ||
Estimating health effects | ||
Impact analysis | ||
Key issues in impact analysis | ||
Methods and measures for impact analysis | ||
Health-based impact measures | ||
Monetisation methods | ||
Deriving and applying monetary values | ||
Deriving non-market values | ||
Discounting | ||
Value transfers | ||
Treatment of uncertainty | ||
Uncertainty analysis | ||
Framework for uncertainty classification | ||
Methods for uncertainty analysis | ||
Value of information | ||
Appraisal | ||
Reporting assessment results | ||
Myths in risk communication | ||
Designing effective assessment reports | ||
Indicator scorecards | ||
Mapping | ||
Effective map design | ||
Comparing and ranking outcomes | ||
Cost-effectiveness analysis | ||
Cost-benefit analysis | ||
Multi-criteria assessment | ||
Help | ||
Help | ||
About the IEHIAS | ||
Structure | ||
User groups | ||
Users and permissions | ||
Editing your user account | ||
Contributing to IEHIAS | ||
Content types | ||
Where to put the contributed pages? | ||
Glossary | ||
Tutorials | ||
Tutorial: Text editor | ||
Tutorial: Using the "Read more" Style | ||
Tutorial: How to insert hyperlinks | ||
Tutorial: Creating equations |