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An integrated methodology for recording uncertainties about environmental data
J D Brown1, G B Heuvelink, J C Refsgaard
1Institute for Biodiversity and Ecosystem Dynamics, Universiteit van Amsterdam, The Netherlands. brown@science.uva.nl
Summary
This study presents an integrated methodology for handling environmental data uncertainties. It addresses data quality, sources of uncertainty, fitness for use, and uncertainty model quality for better environmental management.
Area of Science:
- Environmental Science
- Data Science
- Risk Management
Background:
- Effective environmental management relies on understanding data limitations.
- Scientific research must be used responsibly, especially with limited knowledge and varied priorities.
Purpose of the Study:
- To present an integrated methodology for handling uncertainties in environmental data.
- To ensure responsible use of scientific research despite data limitations.
Main Methods:
- Utilized a combination of quantitative and qualitative techniques for probability assessment.
- Incorporated scenarios where probabilities cannot be determined.
- Developed a methodology based on a fourfold distinction of data quality aspects.
Main Results:
- The methodology integrates empirical data quality, sources of uncertainty, data 'fitness for use', and uncertainty model quality.
- Provides a framework for assessing and managing environmental data limitations.
Conclusions:
- Understanding and managing environmental data uncertainty is crucial for effective environmental systems and responsible research.
- The proposed methodology offers a structured approach to address data limitations.