Dina Hunt is Seismic Group Lead and Chief Earthquake Hazard Engineer at GFT, responsible for developing project‑specific seismic design parameters across all infrastructure classes—including dams and reservoirs, water and wastewater treatment plants, transportation corridors, and vertical structu
Cesunica Ivey is the PI of the Air Quality Modeling and Exposure Lab at UC Berkeley. Ivey’s research focuses on the nexus of air pollution science and engineering and environmental justice.
Steven Friesen is a Senior Seismic Specialist with the California Department of Water Resources. He earned a Bachelor of Science in Civil Engineering from Cal Poly University.
Maike Sonnewald is an Assistant Professor of Computer Science at UC Davis, where she leads the Computational Climate and Ocean Group (www.compClimate.com).
Significant variability in time of use electricity rates and high electricity demand charges are incentivizing load flexibility and dispatchable generation from water and wastewater infrastructure assets.
As part of a multi-year study funded by the California Energy Commission (CEC), several research and industrial entities partnered to develop an opensource seismic risk assessment program called OpenSRA that implements a performance-based framework to perform risk studies efficiently for the utilities.
The implementation of consumption-based feedback as a water conservation method has proven to be an effective method of decreasing peak-hour residential water demands.
When attempting to model seismic site effects, most studies have focused on the importance of vertically characterizing subsurface geomaterials. However, laterally characterizing the geomaterials’ variability has generally been either overlooked or oversimplified.
Granular flows, despite their ubiquity, have been historically resistant to modeling. While grain-by-grain discrete element methods (DEM) exist, these are often far too costly at the length-scales of full-size industrial or geotechnical problems.
