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| Created: | Jun 03, 2024 at 2:38 p.m. (UTC) | |
| Last updated: | Jul 16, 2025 at 11:07 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Private (Accessible via direct link sharing) |
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Abstract
Growing societal water demands and decreasing water supplies are straining the water available for ecosystems and communities throughout the United States. In many western watersheds, water has already been fully allocated, requiring new water needs to be taken from existing water users, resulting in rural-to-urban water transfers. However, the dynamics and implications of these rural-to-urban water transfers are poorly understood. The purpose of this research is to expand fundamental knowledge about the socio-economic conditions that shape water transfers between urban and rural communities. To achieve this objective, an agent-based modeling (ABM) framework is developed to capture the generalizable behavior of individual farmers in a rural community and the socio-economic conditions that influence their decision to sell their water rights to an urban community. An input-output (I-O) model is integrated into the ABM to capture the interdependency of agriculture and other sectors of the rural economy. In this resource, we share the Python code used to construct this ABM-IO framework as well as the csv files containing the economic I-O matrices and data needed to run the I-O component of the framework. We also share the ODD+D protocol for this modeling framework. Scenarios can be designed and implemented in this ABM-IO framework to examine the system feedback, tipping points, and emergent properties observed in socio-hydrologic systems, but often ignored when considering water transfers. Thus, we can gain insight into the complexity of multisectoral and socio-hydrologic systems and assess water transfers that may arise from water scarcity.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| United States Geological Survey | None | 13612182-Virgina |
| U.S. National Science Foundation | None | CBET-2144169 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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