Allocating Scarce Resources: Modeling to Support Food-Energy-Water Sustainability

Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2022). Allocating Scarce Resources: Modeling to Support Food-Energy-Water Sustainability. In: Mathematics For Action: Supporting Science-Based Decision-Making. Eds. Dhersin, J.-S., Kaper, H., Ndifon, W., Roberts, F., Rousseau, C., & Ziegler, G.M., pp. 29-30 Paris, France: UNESCO. ISBN 978-92-3-100517-6

Preview	Text MfA_Toolkit-Full_Print_0.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (22MB) | Preview
Preview	Text MfA_Allocating Scarce Resources.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (252kB) | Preview

Abstract

Global freshwater supplies are increasingly under stress due to the combined effects of population growth, increasing industrialization, and climate change. As a result, water resources must be managed and allocated in ways that are economically efficient and that account for interdependencies between food production, energy generation, and water provision, often referred to as the food-energy-water nexus. Mathematical modeling provides the means to anticipate what might happen in the future based on certain conditions, allowing decision-makers to optimize water use across sectors while taking into account uncertainties over future water availability.

Actions (login required)

View Item