Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river
The paper demonstrates the use of Bayesian networks in multicriteria decision analysis (MCDA) of environmental design alternatives for environmental flows (eflows) and physical habitat remediation measures in the Mandalselva River in Norway. We demonstrate how MCDA using multi-attribute value functi...
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Online Access: | http://hdl.handle.net/11250/2634689 https://doi.org/10.1016/j.envsoft.2019.104604 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2634689 2023-05-15T15:32:14+02:00 Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river Barton, David Nicholas Sundt, Håkon Adeva Bustos, Ana Fjeldstad, Hans-Petter Hedger, Richard David Forseth, Torbjørn Köhler, Berit Aas, Øystein Alfredsen, Knut Madsen, Anders L. 2019 http://hdl.handle.net/11250/2634689 https://doi.org/10.1016/j.envsoft.2019.104604 eng eng Elsevier Norges forskningsråd: 215934 Environmental Modelling & Software. 2020,124 . urn:issn:1364-8152 http://hdl.handle.net/11250/2634689 https://doi.org/10.1016/j.envsoft.2019.104604 cristin:1760716 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 12 124 Environmental Modelling & Software Journal article Peer reviewed 2019 ftntnutrondheimi https://doi.org/10.1016/j.envsoft.2019.104604 2020-01-08T23:32:26Z The paper demonstrates the use of Bayesian networks in multicriteria decision analysis (MCDA) of environmental design alternatives for environmental flows (eflows) and physical habitat remediation measures in the Mandalselva River in Norway. We demonstrate how MCDA using multi-attribute value functions can be implemented in a Bayesian network with decision and utility nodes. An object-oriented Bayesian network is used to integrate impacts computed in quantitative sub-models of hydropower revenues and Atlantic salmon smolt production and qualitative judgement models of mesohabitat fishability and riverscape aesthetics. We show how conditional probability tables are useful for modelling uncertainty in value scaling functions, and variance in criteria weights due to different stakeholder preferences. While the paper demonstrates the technical feasibility of MCDA in a BN, we also discuss the challenges publishedVersion This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Article in Journal/Newspaper Atlantic salmon NTNU Open Archive (Norwegian University of Science and Technology) Norway Environmental Modelling & Software 124 104604 |
institution |
Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
The paper demonstrates the use of Bayesian networks in multicriteria decision analysis (MCDA) of environmental design alternatives for environmental flows (eflows) and physical habitat remediation measures in the Mandalselva River in Norway. We demonstrate how MCDA using multi-attribute value functions can be implemented in a Bayesian network with decision and utility nodes. An object-oriented Bayesian network is used to integrate impacts computed in quantitative sub-models of hydropower revenues and Atlantic salmon smolt production and qualitative judgement models of mesohabitat fishability and riverscape aesthetics. We show how conditional probability tables are useful for modelling uncertainty in value scaling functions, and variance in criteria weights due to different stakeholder preferences. While the paper demonstrates the technical feasibility of MCDA in a BN, we also discuss the challenges publishedVersion This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
format |
Article in Journal/Newspaper |
author |
Barton, David Nicholas Sundt, Håkon Adeva Bustos, Ana Fjeldstad, Hans-Petter Hedger, Richard David Forseth, Torbjørn Köhler, Berit Aas, Øystein Alfredsen, Knut Madsen, Anders L. |
spellingShingle |
Barton, David Nicholas Sundt, Håkon Adeva Bustos, Ana Fjeldstad, Hans-Petter Hedger, Richard David Forseth, Torbjørn Köhler, Berit Aas, Øystein Alfredsen, Knut Madsen, Anders L. Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
author_facet |
Barton, David Nicholas Sundt, Håkon Adeva Bustos, Ana Fjeldstad, Hans-Petter Hedger, Richard David Forseth, Torbjørn Köhler, Berit Aas, Øystein Alfredsen, Knut Madsen, Anders L. |
author_sort |
Barton, David Nicholas |
title |
Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
title_short |
Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
title_full |
Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
title_fullStr |
Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
title_full_unstemmed |
Multi-criteria decision analysis in Bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
title_sort |
multi-criteria decision analysis in bayesian networks - diagnosing ecosystem service trade-offs in a hydropower regulated river |
publisher |
Elsevier |
publishDate |
2019 |
url |
http://hdl.handle.net/11250/2634689 https://doi.org/10.1016/j.envsoft.2019.104604 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
12 124 Environmental Modelling & Software |
op_relation |
Norges forskningsråd: 215934 Environmental Modelling & Software. 2020,124 . urn:issn:1364-8152 http://hdl.handle.net/11250/2634689 https://doi.org/10.1016/j.envsoft.2019.104604 cristin:1760716 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.envsoft.2019.104604 |
container_title |
Environmental Modelling & Software |
container_volume |
124 |
container_start_page |
104604 |
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1766362738397806592 |