Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences
dc.contributor.author | Babbar Sebens, Meghna | |
dc.contributor.author | Cannady Shultz, Kenneth R. | |
dc.contributor.author | Mukhopadhyay, Snehasis | |
dc.contributor.department | Computer and Information Science, School of Science | en_US |
dc.date.accessioned | 2022-02-02T21:50:22Z | |
dc.date.available | 2022-02-02T21:50:22Z | |
dc.date.issued | 2020-09 | |
dc.description.abstract | Watershed planning over a geographic area is a difficult task primarily due to the presence of large number of stakeholders and decision makers whose intrinsic conflicting and/or subjective preferences often lead to uncertainty in perceived fitness of planning decisions. Deciding which watershed strategy should be implemented at what location requires a participatory approach to design and decision making, if adoption of landscape decisions is critical to success. Analytical participatory design (APD) approaches aim to enable farmers, environmentalists, government agencies, and other stakeholders to visualize the landscape, explore and design competitive scenarios of implementing certain management practices on the landscape. Since these approaches improve decision makers' awareness of opportunities and constraints in the co-existing physical and human systems, it is hypothesized that they can be used to generate acceptable decisions that are robust to uncertainties in stakeholder preferences. An APD method based on Interactive optimization is described in this paper and tested for design of wetlands in a study watershed site (Eagle Creek Watershed) in the state of Indiana. The method is then used to test research hypothesis by involving multiple virtual stakeholders as surrogates to diverse human users and their preferences. The results indicate that, while, as expected, the interactive optimization approach results in lower values of the financial and environmental objective criteria (which are being traded off against users' diverse subjective personal criteria), it also results in a relatively high degree of user consensus, indicating high likelihood of adoption of the generated solutions by the stakeholders. | en_US |
dc.eprint.version | Author's manuscript | en_US |
dc.identifier.citation | Babbar-Sebens, M., Cannady-Shultz, K. R., & Mukhopadhyay, S. (2020). Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences. 2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1–6. https://doi.org/10.1109/ICHMS49158.2020.9209569 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/27671 | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | 10.1109/ICHMS49158.2020.9209569 | en_US |
dc.relation.journal | 2020 IEEE International Conference on Human-Machine Systems | en_US |
dc.rights | Publisher Policy | en_US |
dc.source | Author | en_US |
dc.subject | watershed planning | en_US |
dc.subject | interactive optimization | en_US |
dc.subject | genetic algorithms | en_US |
dc.title | Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences | en_US |
dc.type | Conference proceedings | en_US |
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