4.7 Article

Where do uncertainties reside within environmental risk assessments? Expert opinion on uncertainty distributions for pesticide risks to surface water organisms

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 572, Issue -, Pages 23-33

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2016.07.164

Keywords

Uncertainty dimensions; Uncertainty management; Resource allocation; Risk analysis; Elicitation protocol

Funding

  1. EPSRC/ESRC/NERC/Defra [EP/G022682/1]
  2. Cranfield University's EPSRC Doctoral Training Account [EP/P503507/1, EP/P504147/1]
  3. Engineering and Physical Sciences Research Council [EP/G022682/1] Funding Source: researchfish
  4. EPSRC [EP/G022682/1] Funding Source: UKRI

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Areliable characterisation of uncertainties can aid uncertainty identification during environmental risk assessments (ERAs). However, typologies can be implemented inconsistently, causing uncertainties to go unidentified. We present an approach based on nine structured elicitations, in which subject-matter experts, for pesticide risks to surface water organisms, validate and assess three dimensions of uncertainty: its level (the severity of uncertainty, ranging from determinism to ignorance); nature (whether the uncertainty is epistemic or aleatory); and location (the data source or area in which the uncertainty arises). Risk characterisation contains the highest median levels of uncertainty, associated with estimating, aggregating andevaluating themagnitude of risks. Regarding the locations inwhichuncertainty ismanifest, datauncertainty is dominant in problem formulation, exposure assessment and effects assessment. The comprehensive description of uncertainty described will enable risk analysts to prioritise the required phases, groups of tasks, or individual tasks within a risk analysis according to the highest levels of uncertainty, the potential for uncertainty to be reduced or quantified, or the types of location-based uncertainty, thus aiding uncertainty prioritisation during environmental risk assessments. In turn, it is expected to inform investment in uncertainty reduction or targeted risk management action. (C) 2016 The Authors. Published by Elsevier B.V.

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