4.6 Article

Climate variability affects water-energy-food infrastructure performance in East Africa

Journal

ONE EARTH
Volume 4, Issue 3, Pages 397-410

Publisher

CELL PRESS
DOI: 10.1016/j.oneear.2021.02.009

Keywords

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Funding

  1. UK Natural Environment Research Council [NE/M020398/1, NE/M020258]
  2. UK government's former Department for International Development
  3. UK Research and Innovation's Global Challenges Research Fund (UKRI GCRF Development Corridors Partnership)
  4. Grantham Foundation for the Protection of the Environment
  5. UK Economic and Social Research Council through the Centre for Climate Change Economics and Policy [ES/R009708/1]
  6. NERC [NE/M020398/1] Funding Source: UKRI

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The need to assess major infrastructure performance under a changing climate is widely recognized yet rarely practiced, particularly in rapidly growing African economies. The study focuses on high-stakes investments across water, energy, and food sectors in two major river basins in Africa's climate transition zone, highlighting the importance of considering past and future changes in variability to screen the risk to infrastructure.
The need to assess major infrastructure performance under a changing climate is widely recognized yet rarely practiced, particularly in rapidly growing African economies. Here, we consider high-stakes investments across the water, energy, and food sectors for two major river basins in a climate transition zone in Africa. We integrate detailed interpretation of observed and modeled climate-system behavior with hydrological modeling and decision-relevant performance metrics. For the Rufiji River in Tanzania, projected risks for the mid-21st century are similar to those of the present day, but for the Lake Malawi-Shire River, future risk exceeds that experienced during the 20th century. In both basins a repeat of an early-20th century multi-year drought would challenge the viability of proposed infrastructure. A long view, which emphasizes past and future changes in variability, set within a broader context of climate-information interpretation and decision making, is crucial for screening the risk to infrastructure.

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