Abstract

The landscape of water infrastructure in the Nile Basin is changing with the construction of the Grand Ethiopian Renaissance Dam. Although this dam could improve electricity supply in Ethiopia and its neighbors, there is a lack of consensus between Ethiopia, Sudan, and Egypt on the dam operation. We introduce a new modeling framework that simulates the Nile River System and Egypt’s macroeconomy, with dynamic feedbacks between the river system and the macroeconomy. Because the two systems “coevolve” throughout multi-year simulations, we term this a “coevolutionary” modeling framework. The framework is used to demonstrate that a coordinated operating strategy could allow the Grand Ethiopian Renaissance Dam to help meet water demands in Egypt during periods of water scarcity and increase hydropower generation and storage in Ethiopia during high flows. Here we show the hydrological and macroeconomic performance of this coordinated strategy compared to a strategy that resembles a recent draft proposal for the operation of the dam discussed in Washington DC.

Integrating river system and economy-wide models in a dynamic, iterative, bidirectional fashion allows assessing some economic impacts of interventions in river systems. Here the authors use this framework to compare water resources management strategies for the Nile in a quest for efficient use of the river’s limited and stressed water resources.

Details

Title
Collaborative management of the Grand Ethiopian Renaissance Dam increases economic benefits and resilience
Author
Basheer, Mohammed 1   VIAFID ORCID Logo  ; Nechifor Victor 2   VIAFID ORCID Logo  ; Calzadilla Alvaro 2   VIAFID ORCID Logo  ; Siddig Khalid 3   VIAFID ORCID Logo  ; Mikiyas, Etichia 1 ; Whittington, Dale 4 ; Hulme, David 5 ; Harou, Julien J 6 

 The University of Manchester, Department of Mechanical, Aerospace and Civil Engineering, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407) 
 University College London, Institute for Sustainable Resources, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201) 
 Humboldt-Universität zu Berlin, International Agricultural Trade and Development, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639); University of Khartoum, Department of Agricultural Economics, Khartoum, Sudan (GRID:grid.9763.b) (ISNI:0000 0001 0674 6207) 
 The University of Manchester, Global Development Institute, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407); University of North Carolina, Departments of Environmental Sciences and Engineering and City and Regional Planning, Chapel Hill, USA (GRID:grid.410711.2) (ISNI:0000 0001 1034 1720) 
 The University of Manchester, Global Development Institute, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407) 
 The University of Manchester, Department of Mechanical, Aerospace and Civil Engineering, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407); University College London, Department of Civil, Environmental and Geomatic Engineering, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2575662783
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.