How to measure uncertainties in environmental risk assassment
2008
Darbra, Rosa María | Eljarrat, Ethel | Barceló, Damià
9 pages, 1 figure, 1 table.
显示更多 [+] 显示较少 [-]Environmental 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.
显示更多 [+] 显示较少 [-]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.
显示更多 [+] 显示较少 [-]Probability theory is based on a stochastic approach, using probability functions to describe random variability in environmental parameters.
显示更多 [+] 显示较少 [-]Fuzzy logic uses membership functions and linguistic parameters to express vagueness in environmental issues.
显示更多 [+] 显示较少 [-]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.
显示更多 [+] 显示较少 [-]This Study was funded by the European Union through the projects RISKBASE (GOCE 036938), AQUATERRA (Project number 505428) and by the Spanish Ministry of Education and Science through the project CEMAGUA (CGL2007-64551/HID).
显示更多 [+] 显示较少 [-]Peer reviewed
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