Matches in SemOpenAlex for { <https://semopenalex.org/work/W3106761657> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3106761657 abstract "<p>I review the experience obtained in using integrative Bayesian models in interdisciplinary analysis focusing on oil spill risk analysis and water quality in the Baltic Sea. We have applied BBN especially to interdisciplinary analysis, which is easily needed in decision analysis. In the environmental risk analysis, we have mainly focused on the oil spills, where the data sets are poor and also the published papers are scarce. More importantly, the aim of the decision analysis here is to avoid seeing the data, i.e. to avoid accidents. Therefore, some of our applications are based mainly on the use of expert knowledge, especially when we consider decision options that have not been applied before.</p><p>&#160; In the oil spill risk analysis, we have chosen the state of the threatened species as the decision criteria, as they have a status in other parts of Finnish legislation. There is no single clear objective in oil spill legislation which could be used as a utility function, and our analysis have shown, that the legislation should be updated to include well defined objectives. One of the scientific quality criteria for using the Bayesian decision analysis for management is that the uncertainty estimates are scientifically justified. Especially in cases where society is assumed to be highly risk averse, the uncertainty estimates related to alternative management options may have a crucial role.</p><p>&#160;&#160; Biology, sociology and environmental economics have their own scientific traditions. Bayesian models are becoming traditional tools in fisheries biology, where uncertainty estimates of management options are frequently required. In sociology, the traditions allow the subjective treatment of the information, which supports the use of prior probability distributions. &#160;Many of the environmental risks have also economic components, or at least actions have a price, which favors the use of quantitative risk analysis. However, the traditions and quality criteria of these three scientific fields are in many respects different. This creates both technical and human challenges to the modeling tasks.</p><p>&#160;</p><p>Keywords: Bayesian networks, fisheries management, environmental management, interdisciplinary risk and decision analysis</p><p>&#160;</p>" @default.
- W3106761657 created "2020-12-07" @default.
- W3106761657 creator A5038473890 @default.
- W3106761657 date "2020-03-23" @default.
- W3106761657 modified "2023-10-16" @default.
- W3106761657 title "Experiences in applying Bayesian network models in interdisciplinary water quality decision analysis" @default.
- W3106761657 doi "https://doi.org/10.5194/egusphere-egu2020-7270" @default.
- W3106761657 hasPublicationYear "2020" @default.
- W3106761657 type Work @default.
- W3106761657 sameAs 3106761657 @default.
- W3106761657 citedByCount "0" @default.
- W3106761657 crossrefType "posted-content" @default.
- W3106761657 hasAuthorship W3106761657A5038473890 @default.
- W3106761657 hasConcept C105795698 @default.
- W3106761657 hasConcept C107673813 @default.
- W3106761657 hasConcept C107826830 @default.
- W3106761657 hasConcept C111472728 @default.
- W3106761657 hasConcept C112930515 @default.
- W3106761657 hasConcept C127413603 @default.
- W3106761657 hasConcept C138885662 @default.
- W3106761657 hasConcept C144133560 @default.
- W3106761657 hasConcept C154945302 @default.
- W3106761657 hasConcept C17744445 @default.
- W3106761657 hasConcept C186116695 @default.
- W3106761657 hasConcept C18903297 @default.
- W3106761657 hasConcept C199539241 @default.
- W3106761657 hasConcept C2777351106 @default.
- W3106761657 hasConcept C2779530757 @default.
- W3106761657 hasConcept C2780797713 @default.
- W3106761657 hasConcept C2982806110 @default.
- W3106761657 hasConcept C33724603 @default.
- W3106761657 hasConcept C33923547 @default.
- W3106761657 hasConcept C39432304 @default.
- W3106761657 hasConcept C41008148 @default.
- W3106761657 hasConcept C42475967 @default.
- W3106761657 hasConcept C526734887 @default.
- W3106761657 hasConcept C86803240 @default.
- W3106761657 hasConceptScore W3106761657C105795698 @default.
- W3106761657 hasConceptScore W3106761657C107673813 @default.
- W3106761657 hasConceptScore W3106761657C107826830 @default.
- W3106761657 hasConceptScore W3106761657C111472728 @default.
- W3106761657 hasConceptScore W3106761657C112930515 @default.
- W3106761657 hasConceptScore W3106761657C127413603 @default.
- W3106761657 hasConceptScore W3106761657C138885662 @default.
- W3106761657 hasConceptScore W3106761657C144133560 @default.
- W3106761657 hasConceptScore W3106761657C154945302 @default.
- W3106761657 hasConceptScore W3106761657C17744445 @default.
- W3106761657 hasConceptScore W3106761657C186116695 @default.
- W3106761657 hasConceptScore W3106761657C18903297 @default.
- W3106761657 hasConceptScore W3106761657C199539241 @default.
- W3106761657 hasConceptScore W3106761657C2777351106 @default.
- W3106761657 hasConceptScore W3106761657C2779530757 @default.
- W3106761657 hasConceptScore W3106761657C2780797713 @default.
- W3106761657 hasConceptScore W3106761657C2982806110 @default.
- W3106761657 hasConceptScore W3106761657C33724603 @default.
- W3106761657 hasConceptScore W3106761657C33923547 @default.
- W3106761657 hasConceptScore W3106761657C39432304 @default.
- W3106761657 hasConceptScore W3106761657C41008148 @default.
- W3106761657 hasConceptScore W3106761657C42475967 @default.
- W3106761657 hasConceptScore W3106761657C526734887 @default.
- W3106761657 hasConceptScore W3106761657C86803240 @default.
- W3106761657 hasLocation W31067616571 @default.
- W3106761657 hasOpenAccess W3106761657 @default.
- W3106761657 hasPrimaryLocation W31067616571 @default.
- W3106761657 hasRelatedWork W10379114 @default.
- W3106761657 hasRelatedWork W10656104 @default.
- W3106761657 hasRelatedWork W12712126 @default.
- W3106761657 hasRelatedWork W13176313 @default.
- W3106761657 hasRelatedWork W13749590 @default.
- W3106761657 hasRelatedWork W2777878 @default.
- W3106761657 hasRelatedWork W3891032 @default.
- W3106761657 hasRelatedWork W4123081 @default.
- W3106761657 hasRelatedWork W5005022 @default.
- W3106761657 hasRelatedWork W758187 @default.
- W3106761657 isParatext "false" @default.
- W3106761657 isRetracted "false" @default.
- W3106761657 magId "3106761657" @default.
- W3106761657 workType "article" @default.