Brett Sanders
Chancellor’s Professor UC Irvine
- Irvine CA
Brett Sanders seeks to advance knowledge and models of environmental dynamics interactions.
Media
Social
Biography
Sanders’ research group specializes in the development of innovative algorithms for flow and transport in river and coastal systems and the integration of information technologies to create more accurate and efficient simulation tools. Flooding and erosion hazards are the primary focus of current research, particularly coastal flooding and urban flooding. Other interests include surface water quality, low impact development impacts on hydrology, dam-break flooding, aerial and terrestrial lidar scanning, geographical information systems, high performance computing, simulation tools for decision-making.
Areas of Expertise
Accomplishments
Innovator of the Year Award
2023
Samueli School of Engineering
125 Most Influential People of Orange County
2023
Orange County Register
Outstanding Post-Secondary STEM Educator
2022
OC STEM Initiative
Innovator of the Year Nominee
2022
Orange County Business Journal
Best Professor of the Year Award
2021
Engineering Student Council, Samueli School of Engineering
Education
University of Michigan
PhD
Civil Engineering
1997
University of Michigan
MS
Civil Engineering
1994
University of California, Berkeley
BS
Civil Engineering
1993
Affiliations
- American Association for the Advancement of Science (AAAS)
- American Geophysical Union (AGU)
- American Society of Civil Engineers (ASCE)
- Chi Epsilon Honor Society (XE)
- International Association of Hydraulic Research (IAHR)
- Coastal Education and Research Foundation (CERF)
Media Appearances
UC Irvine sand study shows new data to help manage shrinking beaches
Orange County Register online
2024-02-16
“The data essentially shows: Where do we get the most bang for our buck when it comes to placing sand on the coast,” said Brett Sanders, UCI civil and environmental engineering professor and co-author of the published paper.
Mapping LA’s Flood Risk at Unprecedented Detail Reveals Hidden Risks
Esri online
2023-08-21
The numbers of at-risk Angelenos surprised even the researchers. “We double- and triple-checked our models and tried to figure out, Did we make a mistake?” said Brett Sanders, director of the Flood Lab at the University of California, Irvine.
Eyewitness Newsmakers: How to harness stormwater and the concerning 100-year flood assessment
ABC 7 News tv
2023-04-16
In this edition of Eyewitness Newsmakers with Marc Brown, Brett Sanders, professor of civil and environmental engineering at UC Irvine, laid out a worrying scenario.
NASA grant to go toward UCI-led project studying beach, dune loss
Los Angeles Times online
2022-07-09
UCI professor of civil and environmental engineering Brett Sanders said the project aims to use satellites to examine the distribution — height, width and volume — of sand on local beaches.
Event Appearances
Digital Tools for Projecting Coastal Flooding and Erosion
Spotlight on Science Program
2024-05-15
Adapting Southern California Flood Infrastructure for Sustainability and Resilience
OCTANE - Innovation for Sustainability Breakfast
2024-05-03
Measuring the Multi-Benefit Potential of Stormwater Capture: A Modeling Approach for Southern California and Beyond
Energy and Environment Committee Meeting
2024-04-04
Research Grants
Fostering Systems Thinking in High School Environmental Engineering through Engagement of Coastal Communities
NSF
9/9/2023–8/31/2027
Capistrano Bight Shoreline Dynamics Investigation
City of Dana Point
8/12023–4/30/2024
Multi-Objective Assessment of Flood Adaptation Options in Los Angeles County
NOAA
9/1/2023–8/30/2025
Articles
Satellite-based vertical land motion for infrastructure monitoring: a prototype roadmap in Greater Houston, Texas
Scientific Reports2025
Coastal regions are critical hubs for industries reliant on transport and storage. However, vital infrastructure including above-ground storage tanks (ASTs), which store hazardous materials, is vulnerable to flooding and often exacerbated by subsidence (negative vertical land motion; VLM). The US Environmental Protection Agency plays a key role in mitigating risks from ASTs. Satellite remote sensing provides a powerful tool to assess hazards and inform decision-making. Here, we present a roadmap for integrating remotely-sensed observations into decision-making frameworks. Using NASA observational products for end-users from remote sensing analysis (OPERA) VLM products derived from Sentinel-1, we map VLM at~ 30 m resolution across Greater Houston–Galveston.
Flooding is not like filling a bath
Earth's Future2024
Damage and disruption from flooding have rapidly escalated over recent decades. Knowing who and what is at risk, how these risks are changing, and what is driving these changes is of immense importance to flood management and policy. Accurate predictions of flood risk are also critical to public safety. However, many high‐profile research studies reporting risks at national and global scales rely upon a significant oversimplification of how floods behave—as a level pool—an approach known as bathtub modeling that is avoided in flood management practice due to known biases (e.g., >200% error in flood area) compared to physics‐based modeling. With publicity by news media, findings that would likely not be trusted by flood management professionals are thus widely communicated to policy makers and the public, scientific credibility is put at risk, and maladaptation becomes more likely.
How urban form impacts flooding
Nature Communications2024
Urbanization and climate change are contributing to severe flooding globally, damaging infrastructure, disrupting economies, and undermining human well-being. Approaches to make cities more resilient to floods are emerging, notably with the design of flood-resilient structures, but relatively little is known about the role of urban form and its complexity in the concentration of flooding. We leverage statistical mechanics to reduce the complexity of urban flooding and develop a mean-flow theory that relates flood hazards to urban form characterized by the ground slope, urban porosity, and the Mermin order parameter which measures symmetry in building arrangements. The mean-flow theory presents a dimensionless flood depth that scales linearly with the urban porosity and the order parameter, with different scaling for disordered square- and hexagon-like forms.
Estimating post‐fire flood infrastructure clogging and overtopping hazards
Water Resources Research2024
Cycles of wildfire and rainfall produce sediment‐laden floods that pose a hazard to development and may clog or overtop protective infrastructure, including debris basins and flood channels. The compound, post‐fire flood hazards associated with infrastructure overtopping and clogging are challenging to estimate due to the need to account for interactions between sequences of wildfire and storm events and their impact on flood control infrastructure over time. Here we present data sources and calibration methods to estimate infrastructure clogging and channel overtopping hazards on a catchment‐by‐catchment basis using the Post‐Fire Flood Hazard Model (PF2HazMo), a stochastic modeling approach that utilizes continuous simulation to resolve the effects of antecedent conditions and system memory.
National‐scale flood hazard data unfit for urban risk management
Earth's Future2024
Extreme flooding events are becoming more frequent and costly, and impacts have been concentrated in cities where exposure and vulnerability are both heightened. To manage risks, governments, the private sector, and households now rely on flood hazard data from national‐scale models that lack accuracy in urban areas due to unresolved drainage processes and infrastructure. Here we assess the uncertainties of First Street Foundation (FSF) flood hazard data, available across the U.S., using a new model (PRIMo‐Drain) that resolves drainage infrastructure and fine resolution drainage dynamics. Using the case of Los Angeles, California, we find that FSF and PRIMo‐Drain estimates of population and property value exposed to 1%‐ and 5%‐annual‐chance hazards diverge at finer scales of governance, for example, by 4‐ to 18‐fold at the municipal scale.
