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Probabilistic approaches for assessing environmental risks of pesticides

Description: Das Projekt "Probabilistic approaches for assessing environmental risks of pesticides" wird vom Umweltbundesamt gefördert und von Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie durchgeführt. Current methods for risk assessment are mostly 'deterministic'. This means they treat factors such as the toxicity of pesticides as if they were fixed, and precisely known. But in the real world, factors such as toxicity are not fixed but variable. For example, the same pesticide could be more toxic to some species of wildlife, and less toxic to others. What's more, the factors affecting risk are not precisely known but uncertain. For example, toxicity is measured for only a very small number of species, so scientists have to estimate toxicity to all the other species that we want to protect. Current methods for risk assessment try to allow for variability and uncertainty by using 'fixed safety factors', but this fails to give a complete description of the full range of the possible risks. Also, it is difficult to decide how big the safety factors should be. Probabilistic approaches enable variation and uncertainty to be quantified, mainly by using distributions instead of fixed values in risk assessment. A distribution describes the range of possible values (e.g. for toxicity), and shows which values within the range are most likely. The result of a probabilistic risk assessment can also be shown as a distribution, showing the range of environmental impacts that are possible, and which impacts within that range are most likely. This should provide a better basis for making decisions about pesticide risks, because the full range of possible outcomes can be taken into account. The main work of the EUFRAM project is done by a core partnership of 27 organisations from government, industry and academia, and comprises three main parts. 1. Development of a draft framework of basic guidance for risk assessors. The topics to be addressed include: - role and outputs of probabilistic assessments - methods of uncertainty analysis - probabilistic methods for small datasets - how to report and communicate results - how to validate probabilistic methods - how to improve access to existing data - requirements for probabilistic software and databases. - The framework will also include case studies of probabilistic risk assessment, showing how the methods can be applied to assessing impacts of pesticides on terrestrial and aquatic organisms. The first draft of the framework will be published at the end of 2004. 2. End-user testing. - In 2005-2006, the draft framework was subjected to extensive testing and refinement. A series of three workshops was organised for potential users, who were encouraged to trial the framework in their own organisations. Feedback from the users was used to refine the framework, and it is intended that the final version will be suitable for adoption as standard guidance at the European level. Prime Contractor: Central Science Laboratory, York, UK.

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Origin: /Bund/UBA/UFORDAT

Tags: Pestizid ? Molekularbiologie ? Main ? Raffination ? Pflanzensamen ? Umweltauswirkung ? Vereinigtes Königreich ? Bodenkunde ? Kostenrechnung ? Software ? Strafrecht ? Pestizidtoxizität ? Wildlebende Tiere und Pflanzen ? Bodenbildung ? Fallstudie ? Toxizität ? Bohrkern ? Umweltgefährdung ? Gewässerorganismen ? Bodenwert ? Berichterstattung ? Bodenbewirtschaftung ? Daten ? Risikoanalyse ? Probabilistische Methode ? Datenbank ? Sicherheitsmaßnahme ? Sicherheitsvorschrift ? Forschungseinrichtung ? Wissenschaft ? Gefahr ? Potenzial ? Arbeit ? Risiko ? Risikobewertung ? Workshop ? Risiken, Sicherheit ? Annäherung ? Zugang ? angewandt ? bestehend ? bewerten ? ortsfest ? sonstig ? Anwender ? Aufbereiteter Boden ? Beispiel ? Beschreibung ? Deterministische Methode ? Ableitung ? Entscheidungsfindung ? Erfordernis ? Ergebnis ? Methode ? Projekt ? Umgebungseinflüsse ? Verteilung ? Vorschlag ? Welt ? Wert ?

Region: Nordrhein-Westfalen

Bounding box: 6.76339° .. 6.76339° x 51.21895° .. 51.21895°

License: cc-by-nc-nd/4.0

Language: Deutsch

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Time ranges: 2003-01-01 - 2006-12-31

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