Towards multi-objective optimization of large-scale fluvial landscaping measures
<p>Adapting densely populated deltas to the combined impacts of climate change and socioeconomic developments presents a major challenge for their sustainable development in the 21st century. Decisions for the adaptations require an overview of cost and benefits and the number of stakeholders...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-06-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/19/1167/2019/nhess-19-1167-2019.pdf |
| _version_ | 1818993860426072064 |
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| author | M. W. Straatsma J. M. Fliervoet J. A. H. Kabout F. Baart M. G. Kleinhans |
| author_facet | M. W. Straatsma J. M. Fliervoet J. A. H. Kabout F. Baart M. G. Kleinhans |
| author_sort | M. W. Straatsma |
| collection | DOAJ |
| description | <p>Adapting densely populated deltas to the combined impacts of
climate change and socioeconomic developments presents a major challenge for
their sustainable development in the 21st century. Decisions for the
adaptations require an overview of cost and benefits and the number of
stakeholders involved, which can be used in stakeholder discussions.
Therefore, we quantified the trade-offs of common measures to compensate for an increase in discharge and sea level rise on the basis of relevant, but
inexhaustive, quantitative variables. We modeled the largest delta
distributary of the Rhine River with adaptation scenarios driven by (1) the
choice of seven measures, (2) the areas owned by the two largest
stakeholders (LS) versus all stakeholders (AS) based on a priori stakeholder
preferences, and (3) the ecological or hydraulic design principle. We
evaluated measures by their efficiency in flood hazard reduction, potential
biodiversity, number of stakeholders as a proxy for governance complexity,
and measure implementation cost. We found that only floodplain lowering over
the whole study area can offset the altered hydrodynamic boundary
conditions; for all other measures, additional dike raising is required. LS
areas comprise low hanging fruits for water level lowering due to the
governance simplicity and hydraulic efficiency. Natural management of
meadows (AS), after roughness smoothing and floodplain lowering, represents
the optimum combination between potential biodiversity and flood hazard
lowering, as it combines a high potential biodiversity with a relatively low
hydrodynamic roughness. With this concept, we step up to a
multidisciplinary, quantitative multi-parametric, and multi-objective
optimization and support the negotiations among stakeholders in the
decision-making process.</p> |
| first_indexed | 2024-12-20T20:48:46Z |
| format | Article |
| id | doaj.art-0139e6b0c9d9463fa3c8c9683ff197c8 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-20T20:48:46Z |
| publishDate | 2019-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-0139e6b0c9d9463fa3c8c9683ff197c82022-12-21T19:26:58ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812019-06-01191167118710.5194/nhess-19-1167-2019Towards multi-objective optimization of large-scale fluvial landscaping measuresM. W. Straatsma0J. M. Fliervoet1J. A. H. Kabout2F. Baart3M. G. Kleinhans4Faculty of Geosciences, Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the NetherlandsFaculty of Science, Institute for Science, Innovation and Society, Radboud University, P.O. Box 9010, 6500 GL, Nijmegen, the NetherlandsArcadis Nederland B.V., Department Rivers, Coast and Sea, P.O. Box 220, 3800 AE, Amersfoort, the NetherlandsDeltares, Department Marine and Coastal Systems, P.O. Box 177, 2600 MH, Delft, the NetherlandsFaculty of Geosciences, Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the Netherlands<p>Adapting densely populated deltas to the combined impacts of climate change and socioeconomic developments presents a major challenge for their sustainable development in the 21st century. Decisions for the adaptations require an overview of cost and benefits and the number of stakeholders involved, which can be used in stakeholder discussions. Therefore, we quantified the trade-offs of common measures to compensate for an increase in discharge and sea level rise on the basis of relevant, but inexhaustive, quantitative variables. We modeled the largest delta distributary of the Rhine River with adaptation scenarios driven by (1) the choice of seven measures, (2) the areas owned by the two largest stakeholders (LS) versus all stakeholders (AS) based on a priori stakeholder preferences, and (3) the ecological or hydraulic design principle. We evaluated measures by their efficiency in flood hazard reduction, potential biodiversity, number of stakeholders as a proxy for governance complexity, and measure implementation cost. We found that only floodplain lowering over the whole study area can offset the altered hydrodynamic boundary conditions; for all other measures, additional dike raising is required. LS areas comprise low hanging fruits for water level lowering due to the governance simplicity and hydraulic efficiency. Natural management of meadows (AS), after roughness smoothing and floodplain lowering, represents the optimum combination between potential biodiversity and flood hazard lowering, as it combines a high potential biodiversity with a relatively low hydrodynamic roughness. With this concept, we step up to a multidisciplinary, quantitative multi-parametric, and multi-objective optimization and support the negotiations among stakeholders in the decision-making process.</p>https://www.nat-hazards-earth-syst-sci.net/19/1167/2019/nhess-19-1167-2019.pdf |
| spellingShingle | M. W. Straatsma J. M. Fliervoet J. A. H. Kabout F. Baart M. G. Kleinhans Towards multi-objective optimization of large-scale fluvial landscaping measures Natural Hazards and Earth System Sciences |
| title | Towards multi-objective optimization of large-scale fluvial landscaping measures |
| title_full | Towards multi-objective optimization of large-scale fluvial landscaping measures |
| title_fullStr | Towards multi-objective optimization of large-scale fluvial landscaping measures |
| title_full_unstemmed | Towards multi-objective optimization of large-scale fluvial landscaping measures |
| title_short | Towards multi-objective optimization of large-scale fluvial landscaping measures |
| title_sort | towards multi objective optimization of large scale fluvial landscaping measures |
| url | https://www.nat-hazards-earth-syst-sci.net/19/1167/2019/nhess-19-1167-2019.pdf |
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