Population growth and rising economic prosperity combined with alterations of hydroclimatic conditions are expected to pose major challenges for water management policies, particularly in fast-developing economies. Growing energy and food demands will likely trigger major investments in large dams projects, whose performance strongly depends on the unknown future conditions in the coming decades. In contrast to traditional impact assessments that focus on climate and socio-economic divers separately, in this work we propose an integrated framework to better understand the nested interdependencies of those drivers across sectors and processes at different scales. We integrate an ensemble of climate projections generated from Representative Concentration Pathways with a large factorial dataset of socio-economic scenarios generated using the Global Change Assessment Model (GCAM). The Zambezi River basin is used to demonstrate our approach. The Zambezi is one of the largest river basins in Africa and is paradigmatic of most basins in developing countries: the four largest dams are mainly operated for hydropower production and irrigation supply, with considerable negative effects on the aquatic ecosystems due to the alteration of the natural flow regime. To assess the robustness of the water-energy-food nexus components in the Zambezi River basin against future integrated scenarios of changing socio-economic and climate drivers, we first downscaled climate projections to feed local hydrological models and produce projections of water availability in the basin. In parallel, we spatially and temporally downscaled GCAM outputs via the Tethys software to obtain projections of irrigation demands. Numerical results show that the current management of the system is highly vulnerable to changing conditions, with critical risks of failure in terms of food security due to unreliable irrigation supply. Our framework demonstrates that these critical conditions are mostly generated by global socio-economic drivers rather than projected climate conditions. Informing the re-operation of the existing reservoirs and the construction of new dams with this ensemble of integrated scenarios allows designing adaptation options that make the Zambezi River basin more robust against a wide range of futures.

Evaluating the Robustness of the Water-Energy-Food Nexus Using Integrated Climate and Socio-Economic Scenarios

M. Giuliani;A. Castelletti
2018-01-01

Abstract

Population growth and rising economic prosperity combined with alterations of hydroclimatic conditions are expected to pose major challenges for water management policies, particularly in fast-developing economies. Growing energy and food demands will likely trigger major investments in large dams projects, whose performance strongly depends on the unknown future conditions in the coming decades. In contrast to traditional impact assessments that focus on climate and socio-economic divers separately, in this work we propose an integrated framework to better understand the nested interdependencies of those drivers across sectors and processes at different scales. We integrate an ensemble of climate projections generated from Representative Concentration Pathways with a large factorial dataset of socio-economic scenarios generated using the Global Change Assessment Model (GCAM). The Zambezi River basin is used to demonstrate our approach. The Zambezi is one of the largest river basins in Africa and is paradigmatic of most basins in developing countries: the four largest dams are mainly operated for hydropower production and irrigation supply, with considerable negative effects on the aquatic ecosystems due to the alteration of the natural flow regime. To assess the robustness of the water-energy-food nexus components in the Zambezi River basin against future integrated scenarios of changing socio-economic and climate drivers, we first downscaled climate projections to feed local hydrological models and produce projections of water availability in the basin. In parallel, we spatially and temporally downscaled GCAM outputs via the Tethys software to obtain projections of irrigation demands. Numerical results show that the current management of the system is highly vulnerable to changing conditions, with critical risks of failure in terms of food security due to unreliable irrigation supply. Our framework demonstrates that these critical conditions are mostly generated by global socio-economic drivers rather than projected climate conditions. Informing the re-operation of the existing reservoirs and the construction of new dams with this ensemble of integrated scenarios allows designing adaptation options that make the Zambezi River basin more robust against a wide range of futures.
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1071519
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