I visited the Los Angeles Aqueduct, photographing the site and observing its surrounding landscape. Using terrain data from Google Maps, I recreated the topography and built a proportional 3D model of the aqueduct in Blender. Based on the photos I took on site, I reconstructed key scenes from similar angles within the 3D environment.
The aqueduct model was then placed into AI-generated contexts to imagine how this structure might adapt, transform, or resonate within entirely different environments. Through this layered process—fieldwork, modeling, and AI generation—the aqueduct shifts from a fixed piece of infrastructure to a lens for rethinking the relationship between space, ecology, and perception.
This project builds on an earlier zine that explored light, shadow, and the presence of infrastructure at the Donald C. Tillman Water Reclamation Plant. From that starting point, I gradually developed a method of observation, reconstruction, and simulation..
Reframing a mundane aqueduct through a series of simulated landscapes, this project traces the shifting identity of infrastructure as it migrates across ecological, political, and speculative terrains.
From post-apocalyptic ruins to lush forests and lunar deserts, each scene reveals how context reshapes meaning. Merging AI, photography, and 3D rendering, the work speculates on architecture as both a carrier and transformer of cultural memory—an object whose stability dissolves in dialogue with machine vision and planetary imagination.
