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dc.contributor.authorDarbra Roman, Rosa Maria
dc.contributor.authorEljarrat, Ethel
dc.contributor.authorBarceló Cullerés, Damià
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2010-05-18T11:32:48Z
dc.date.available2010-05-18T11:32:48Z
dc.date.created2008-04-01
dc.date.issued2008-04-01
dc.identifier.citationDarbra, R.M.; Eljarrat, E.; Barceló, D. How to measure uncertainties in environmental risk assassment. "TrAC: trends in analytical chemistry", 01 Abril 2008, vol. 27, núm. 4, p. 377-385.
dc.identifier.issn0165-9936
dc.identifier.urihttp://hdl.handle.net/2117/7305
dc.description.abstractEnvironmental risk assessment is an essential element in any decision-making process in order to minimize the effects of human activities on the environment. Unfortunately, often environmental data tends to be vague and imprecise, so uncertainty is associated with any study related with these kind of data. Essentially, uncertainty in risk assessment may have two origins – randomness and incompleteness. There are two main ways to deal with these uncertainties – probability theory and fuzzy logic. Probability theory is based on a stochastic approach, using probability functions to describe random variability in environmental parameters. Fuzzy logic uses membership functions and linguistic parameters to express vagueness in environmental issues. We discuss the best way to deal with uncertainties in the environmental field and give examples of probabilistic and fuzzy-logic approaches applied to environmental risk assessment.
dc.format.extent9 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Impacte ambiental
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat
dc.titleHow to measure uncertainties in environmental risk assassment
dc.typeArticle
dc.subject.lemacMedi ambient
dc.subject.lemacLògica difusa
dc.subject.lemacProbabilitats
dc.contributor.groupUniversitat Politècnica de Catalunya. CERTEC - Centre d'Estudis del Risc Tecnològic
dc.identifier.doi10.1016/j.trac.2008.02.005
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac2053813
dc.description.versionPostprint (published version)
local.citation.authorDarbra, R.M.; Eljarrat, E.; Barceló, D.
local.citation.publicationNameTrAC: trends in analytical chemistry
local.citation.volume27
local.citation.number4
local.citation.startingPage377
local.citation.endingPage385


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