A5063117929- Landslides and related hazards
- Flood Risk Assessment and Management
- Seismic Imaging and Inversion Techniques
- Cryospheric studies and observations
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- Geophysical Methods and Applications
- Hydrology and Watershed Management Studies
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Computational Physics and Python Applications
Stanford University
2023
Colorado School of Mines
2018-2021
United States Geological Survey
2018-2021
Geologic Hazards Science Center
2021
Consistent relations between shallow landslide initiation and associated rainfall characteristics remain difficult to identify, due largely the complex hydrological geological processes causing slopes be predisposed failure those that subsequently trigger failures. Considering importance of hillslope hydrology for rainfall-induced landsliding, we develop test a method identifying hybrid hydro-meteorological thresholds assess potential. We outline series steps using inventory in combination...
Landslide detection and warning systems are important tools for mitigation of potential hazards in landslide prone areas. Traditionally, shallow landslides have been informed by rainfall intensity-duration thresholds. More recent advances introduced the concept hydrometeorological thresholds that not only rainfall, but also subsurface hydrological measurements. Previously, shown to improve capabilities forecasting landslides, they may ultimately be adapted more generalized forecasting. We...
Abstract Faults play an important role in recharging many geothermal reservoirs, and seismic information can image the locations of these faults. The value (VOI) metric is used to objectively quantify compare two types receiver data via a machine learning approach. demonstrated VOI methodology novel by including spatial models from obtaining statistics learning. Our two-dimensional numerical experiments images created sparsely spaced (80 m), two-component geophone sampling high resolution (1...
Sustainable groundwater management requires high-quality and low-latency estimates of changes in storage (∆Sgw). However, ∆Sgw produced using traditional methods, including models well-based measurements, typically lag years behind the present because collecting required on-the-ground data is a time consuming, expensive, labor-intensive task. Satellite remote sensing measurements provide potential pathways to overcome these limitations by quantifying through closing water balance. range...
Faults play an important role in recharging many geothermal reservoirs, and seismic information can image the locations of these faults. Sensors such as DAS have potential to both higher temporal spatial resolution than geophones. The value (VOI) metric is used toobjectively quantify single-component horizontal DAS, compared more sparsely-spaced geophones, using receivers together. This methodology quantifies accuracy fault migration images when fibers, geophones a combination two are...