Changing Channels: Simulating Irrigation Management on Evolving Canal Systems for the Prehistoric Hohokam of Central Arizona
Societies that rely on irrigation face challenges arising from the variability and unpredictability of water supply and the physics underlying the flow of water through open channels; they overcome these through structured social interactions and institutions ranging from simple to complex. To better understand these past interactions we combine geoarchaeological studies with flow simulations and Agent Based Modeling. Fieldwork conducted during CRM projects on Hohokam irrigation structures in central Arizona has revealed new details about canal morphology, including shape, size, elevation, slope, and cleaning events. The micromorphological study of the sediments that fill these structures allow finer resolution in discerning the performance (velocity, discharge, etc.) of the canal channels and their evolution through time. We couple this with an agent-based model to explore how these constraints might have required alternative strategies for cooperation. The combination of both approaches is key to discerning both broad differences between periods and fine variation within major chronological periods. We show that the coupling of social and physical models on very fine time scales can offer insight into the social arrangements and day-to-day life of people in the prehistoric past and inform our understanding of those societies’ long-term changes.
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This Resource is Part of the Following Collections
- Simulating Social Complexity to Understand the Archaeological Past •
- Society for American Archaeology 80th Annual Meeting, San Francisco, CA (2015)
Cite this Record
Changing Channels: Simulating Irrigation Management on Evolving Canal Systems for the Prehistoric Hohokam of Central Arizona. John Murphy, Louise Purdue, Maurits Ertsen. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 395155)
min long: -115.532; min lat: 30.676 ; max long: -102.349; max lat: 42.033 ;