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PROTECTFP6-036425 Derivation of Environmental Radiological Protection Benchmarks an overview jacqueline.garnier-laplace@irsn.fr
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PROTECTFP6-036425 Definition of benchmarks Numerical values used to guide risk assessors These values need to be based on scientific reasoning & be transparent. They correspond to screening values when they are used in screening tiers. Concentration (Bq per unit volume or mass), dose (Gy) or dose rate (Gy per unit time) assumed to be ‘safe’ for the object of protection Based on exposure –response information (e.g. ecotoxicity test endpoints). Referred to as PNEDR (Predicted No-Effects Dose Rate for ecosystems) in ERICA, as ENEV (a set of Estimated no-effects values wildlife group-specific) in Env.Canada/CNSC…
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PROTECTFP6-036425 How are they used to characterize the risk? The risk index is expressed as the ratio Predicted environmental dose rate:PNEDR PNEDR 0 PEDR Deterministic method pdf 1 Uncertainty is introduced only in the exposure estimate. The risk index is expressed as a probability that the exposure estimate exceeds the PNEDR Semi-probabilistic method A statistical distribution is also assigned to PNEDR (e.g. a species sensitivity distribution). This allows calculation of the probability of the risk. 0 1 pdf Probabilistic method
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PROTECTFP6-036425 For chemicals, all existing approaches are based on available critical ecotoxicity data, typically EC 50 for acute exposure conditions (short-term) and EC 10 (preferred to NOEC) for chronic exposure conditions (long-term). How to derive those « safe levels »? Effect (%) Regression model 100 % 50 % 10 % ED 10 EDR 10 Dose (Gy) Dose Rate (µGy/h) ED 50 EDR 50 Observed data NOEDR: No observed effect dose rate LOEDR: Lowest observed effect dose rate Exposure-response relationship from ecotoxicity tests (stressor, species, endpoint) -> transpose to radioactive substances
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PROTECTFP6-036425 2 methods recommended by EC for chemicals (Technical Guidance Document (2003) – easily adaptable to radioactive substances when ED 50 or EDR 10 are available The Safety Factor Method How to derive those « safe levels »?
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PROTECTFP6-036425 Safe levels can be calculated with statistical extrapolation models to address variation between species in their sensitivity to a stressor. The species for which results are known are representative, in terms of sensitivity, of the totality of the species in the ecosystem. The endpoints measured in laboratory tests are indicative of effects on populations in the field. The Species Sensitivity Distribution (SSD) Method 0 20 40 60 80 100 110100100010000 Dose (Gy) or Dose Rate (µGy/h) PAF (%) How to derive those « safe levels »? 5% HDR 5% Calculation of a dose rate that is assumed to protect a given % of species In the Technical Guidance Document (2003): the agreed concentration is the hazardous concentration affecting 5 % of species with 50% confidence. When its remains other extrapolation issues, the TGD recommends to apply an additionnal SF (1-5)->until now, only used for ERICA screening value
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PROTECTFP6-036425 Analysis of the effects data from FREDERICA by ERICA More than 25,000 data entries - couples (dose, effect) along with info on their acquisition - « raw » data series from experiments – lab or field) - dose-effect relationship not mathematically structured Acute data (80% - external irradiation) : chronic data (20% - external irradiation) Mainly γ radiation types some: alpha, beta, neutron, X-ray Four endpoints: mortality, morbidity, reproductive capacity, mutation more on reproduction for acute; more on morbidity for chronic, followed by reproduction; too few data on mutation whatever the exposure regime Only data devoted to effects induced by external irradiation pathway were quantitatively adequate to be mathematically structured in terms of dose-effect relationships. Meta-analysis of effect data to reconstruct dose-effect relationships and to estimate comparable critical ecotoxicity endpoints ie ED 50 for acute exposure and EDR 10 from chronic exposure
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PROTECTFP6-036425 Data set adequate to apply SSD-based method to derive the PNEDR The application of the SF method came out with more stringent value. ERICA adopted SSD-based methodology to derive its screening value. HDR 5 =81.8 SF = 5 rounded down and keeping 1 digit PNEDR 10 µGy/h Chronic external exposure conditions: SSD SSD-based PNEDR
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PROTECTFP6-036425 How to use properly the ERICA PNEDR? PNEDR does not apply for any other ecological object to be protected (than generic ecosystem) PNEDR was derived to be used in the first tiers of the ERICA tiered approach PNEDR is the benchmark value to screen against incremental dose rates and not to total dose rates including background (similar to the added risk method (Struijs et al., 1997). ■ Implicit assumption is that the BG has resulted in the biodiversity of ecosystems. No deleterious potential effect originating from the background
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PROTECTFP6-036425 Existing values: a brief review Method used and derived values (in µGy/h)
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PROTECTFP6-036425 Objectives within PROTECT WP3 “To derive an extended set of numerical target values and their associated derivation methods, designed to assure compliance to environmental protection goals that resonate with protective goals set up for releases of hazardous substances in general, and to assess the implications for society at large.” On the basis of the target for protection (& the level of protection) [WP1-WP2], explore the possibility for the application of advanced statistical methods (classical or Bayesian) that: (1) allow to make the best use of the available knowledge when this is represented by small data sets, (2) allow to quantify the associated uncertainty, (3) easily allow to revise the outcoming values when new knowledge becomes available
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PROTECTFP6-036425 News from UNSCEAR UNSCEAR literature review (1996) is currently under revision Some of the key components of the « effects » sections: New knowledge on effects since 1996 presented, starting with a review on effects mechanisms from subcell to higher organisational level Review of existing approaches (methods used to assess the radiological impact or the risk to ecological objects & their associated benchmarks). Case studies for illustration purpose Too early to say whether this would result in a major revision of the former well- known statement
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