
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Quantifying Cooperation Benefits for New Dams in Transboundary Water Systems Without Formal Operating Rules

handle: 11577/3421060 , 10568/115754 , 10034/624663
New dams impact downstream ecosystems and water infrastructure; without cooperative and adaptive management, negative impacts can manifest. In large complex transboundary river basins without well codified operating rules and extensive historical data, it can be difficult to assess the benefits of cooperating, in particular in relation to new dams. This constitutes a barrier to harmonious development of river basins and could contribute to water conflict. This study proposes a generalised framework to assess the benefits of cooperation on the management of new dams in water resource systems that do not have formal sharing arrangements. Benefits are estimated via multi-criteria comparison of historical reservoir operations (usually relatively uncooperative) vs. adopting new cooperative rules which would achieve the best results for riparian countries as evaluated by a water resources simulator and its performance metrics. The approach is applied to the Pwalugu Multipurpose Dam (PMD), which is being built in Ghana in the Volta river basin. The PMD could impact downstream ecosystems and infrastructure in Ghana and could itself be impacted by how the existing upstream Bagre Dam is managed in Burkina Faso. Results show that with cooperation Ghana and Burkina Faso could both increase energy production although some ecosystem services loss would need to be mitigated. The study confirms that cooperative rules achieve higher overall benefits compared to seeking benefits only for individual dams or countries.
- University of Manchester United Kingdom
- University of Florida (South Africa) South Africa
- CGIAR Consortium France
- University of Florida Finland
- IHE Delft Institute for Water Education Netherlands
Riparian zone, Water resources, Resource (disambiguation), simulation models, ResearchInstitutes_Networks_Beacons/MERI; name=Manchester Environmental Research Institute, Optimal Operation of Water Resources Systems, infrastructure, irrigation, Engineering, water systems, Downstream (manufacturing), GE1-350, Business, Environmental resource management, Water Science and Technology, Environmental planning, Marketing, Global and Planetary Change, Computer network, Ecology, international cooperation, dam operating policies, water policies, Water resource management, hydropower, Habitat, Hydrological Modeling and Water Resource Management, hydropower and ecosystem service trade-offs, Physical Sciences, 330, international waters, Ocean Engineering, Volta river basin, Upstream (networking), cooperation in transboundary water systems, Environmental science, FOS: Economics and business, Global Flood Risk Assessment and Management, environmental flows, Hydro-Economic Models, river basins, Biology, Ecosystem, reservoir operation, Upstream and downstream (DNA), dams, Watershed Simulation, Computer science, Environmental sciences, many-objective trade-off analysis, FOS: Biological sciences, Environmental Science, ecosystem services
Riparian zone, Water resources, Resource (disambiguation), simulation models, ResearchInstitutes_Networks_Beacons/MERI; name=Manchester Environmental Research Institute, Optimal Operation of Water Resources Systems, infrastructure, irrigation, Engineering, water systems, Downstream (manufacturing), GE1-350, Business, Environmental resource management, Water Science and Technology, Environmental planning, Marketing, Global and Planetary Change, Computer network, Ecology, international cooperation, dam operating policies, water policies, Water resource management, hydropower, Habitat, Hydrological Modeling and Water Resource Management, hydropower and ecosystem service trade-offs, Physical Sciences, 330, international waters, Ocean Engineering, Volta river basin, Upstream (networking), cooperation in transboundary water systems, Environmental science, FOS: Economics and business, Global Flood Risk Assessment and Management, environmental flows, Hydro-Economic Models, river basins, Biology, Ecosystem, reservoir operation, Upstream and downstream (DNA), dams, Watershed Simulation, Computer science, Environmental sciences, many-objective trade-off analysis, FOS: Biological sciences, Environmental Science, ecosystem services
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
