Characterizing hydrologic and economic risk due to flooding driven by atmospheric rivers
Abstract/Contents
- Abstract
- Atmospheric rivers (ARs), sometimes called "rivers in the sky," are long, narrow bands in the atmosphere that carry high levels of moisture from the tropics to the mid-latitudes. They deliver up to half of California's annual water supply, but they also can cause extreme precipitation and floods. The overall goal of this dissertation is to identify which ARs are most likely to cause damaging flooding. First, I connect AR hazard, which is based only on the intensity of the atmospheric event, to AR risk, which includes the exposure and vulnerability of infrastructure and communities. Using tools from earthquake engineering, probabilistic risk analysis, and interpretable machine learning, I characterize AR-driven flood risk from both a process-based (top-down) and a data-driven (bottom-up) perspective. These two complementary approaches are used to identify influential drivers of extreme consequences. I then quantify the contribution of temporal compounding to the hydrologic and economic impacts of ARs. Temporal compounding is the risk amplification that occurs when two or more AR storms occur in close succession. The series of ARs that affected California in the early months of 2023 are an example of the significant consequences that temporal compounding can cause when the hydrologic environment does not have time to recover between events. I create a new metric, AR sequences, to identify when temporal compounding is contributing to risk. I show that sequences are associated with higher levels of hydrologic impacts, such as extreme runoff and soil moisture, than ARs are on their own. They also increase both the probability and the magnitude of economic impacts from damaging flooding. Finally, sequences are expected to increase in frequency, intensity, and duration in a future climate, with the largest frequency increases occurring at the longest durations. Altogether, this dissertation both identifies a growing threat to California's water resources and introduces a suite of AR flood risk assessment tools to manage that threat.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Bowers, Corinne Casey | |
|---|---|---|
| Degree supervisor | Baker, Jack | |
| Thesis advisor | Baker, Jack | |
| Thesis advisor | Fletcher, Sarah | |
| Thesis advisor | Serafin,Katherine | |
| Degree committee member | Fletcher, Sarah | |
| Degree committee member | Serafin,Katherine | |
| Associated with | Stanford University, School of Engineering | |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Corinne Bowers. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/gx806hw1723 |
Access conditions
- Copyright
- © 2023 by Corinne Casey Bowers
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...