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Comment on “A new decade in seismoacoustics (2010–2022)” by Fransiska Dannemann Dugick, Clinton Koch, Elizabeth Berg, Stephen Arrowsmith, and Sarah Albert Comment on “A new decade in seismoacoustics (2010–2022)” by Fransiska Dannemann Dugick, Clinton Koch, Elizabeth Berg, Stephen Arrowsmith, and Sarah Albert

An increase in seismic stations also having microbarographs has led to increased interest in the field of seismoacoustics. A review of the recent advances in this field can be found in Dannemann Dugick et al. (2023). The goal of this note is to draw the attention of the readers of Dannemann Dugick et al. (2023) to several additional interactions between the solid Earth and atmosphere...
Authors
Adam Ringler, Robert Anthony, Brian Shiro, Toshiro Tanimoto, David Wilson

Induced seismicity and its impact on existing seismic hazard analysis Induced seismicity and its impact on existing seismic hazard analysis

We develop a scheme for mapping changes in earthquake rates within a region in near-real-time. A specific goal of the work is to track recent changes in the rates of induced earthquakes in the central and eastern United States. We map rates in a time window of interest, map rates in a preceding time window, and then ratio the two maps to show changes. A proof-of-concept map is first...
Authors
Charles Mueller, Allison Shumway

The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California

A range of hydrologic responses can be observed in steep, recently burned terrain, which makes predicting the spatial distribution of large debris flows challenging. Studies from rainfall-induced landslides in unburned areas show evidence of hydroclimatic tuning of landslide triggering, such that the spatial distribution of events is best predicted by the observed rainfall anomaly...
Authors
David Cavagnaro, Scott W. McCoy, Matthew Thomas, Jaime Kostelnik, Donald Lindsay

Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution

Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized...
Authors
Francis Rengers, Jason Kean, Jeffrey Coe, Megan Hanson, Joel Smith

Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis

The variability of earthquake ground motions has a strong control on probabilistic seismic hazard analysis (PSHA), particularly for the low frequencies of exceedance used for critical facilities. We use a crossed mixed‐effects model to partition the variance components from simulated ground motions of Mw 7 earthquakes on the Salt Lake City segment of the Wasatch fault zone. Total...
Authors
Grace Parker, Morgan Moschetti, Eric Thompson

Runout model evaluation based on back-calculation of building damage Runout model evaluation based on back-calculation of building damage

We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated...
Authors
Katherine Barnhart, Jason Kean

Forecasting the inundation of postfire debris flows Forecasting the inundation of postfire debris flows

In the semi-arid regions of the western United States, postfire debris flows are typically runoff generated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending...
Authors
Katherine Barnhart, Ryan P Jones, David George, Francis Rengers, Jason Kean

A methodology to combine shaking and ground failure models for forecasting seismic damage to buried pipeline networks A methodology to combine shaking and ground failure models for forecasting seismic damage to buried pipeline networks

How does an earthquake affect buried pipeline networks? It is well known that the seismic performance of buried pipelines depends on ground failures (GFs) as well as strong ground shaking (SGS), but it is unclear how the various types of earthquake hazards should be collectively combined, as existing methodologies tend to examine each of the earthquake hazards separately. In this article...
Authors
N. Kwong, Kishor Jaiswal

Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA

Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management. Aim: The aim of this study was to predict burn severity using pre-fire...
Authors
Adam Wells, Todd Hawbaker, John Hiers, Jason Kean, Rachel Loehman, Paul Steblein

DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards

Sudden-onset hazards like earthquakes often induce cascading secondary hazards (e.g., landslides, liquefaction, debris flows, etc.) and subsequent impacts (e.g., building and infrastructure damage) that cause catastrophic human and economic losses. Rapid and accurate estimates of these hazards and impacts are critical for timely and effective post-disaster responses. Emerging remote...
Authors
Xuechun Li, Paula Burgi, Wei Ma, Haeyoung Noh, David Wald, Susu Xu

The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science

The science of volcanology advances disproportionately during exceptionally large or well-observed eruptions. The 2018 eruption of Kīlauea Volcano (Hawai‘i) was its most impactful in centuries, involving an outpouring of more than one cubic kilometer of basalt, a magnitude 7 flank earthquake, and the volcano’s largest summit collapse since at least the nineteenth century. Eruptive...
Authors
Kyle Anderson, Tom Shea, Kendra Lynn, Emily Montgomery-Brown, Donald A. Swanson, Matthew Patrick, Brian Shiro, Christina Neal

Towards improved code-based performance objectives for liquefaction hazard analysis Towards improved code-based performance objectives for liquefaction hazard analysis

Ground failure due to liquefaction in loose sand deposits poses substantial risks to the built environment, and has caused significant damage in past earthquakes to a wide range of infrastructure. Advances in liquefaction hazard analysis in practice have largely stagnated in recent years; the state of practice remains rooted in simplified procedures that ignore considerable uncertainties...
Authors
Andrew Makdisi, Steven Kramer
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