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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

Plan to move IEHIEAS pages
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
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