NS008
Near-surface geophysics for characterizing and monitoring natural hazards
Near-surface geophysics for characterizing and monitoring natural hazards
Session ID#: 159746
Session Description:
Communities and infrastructure networks are increasingly exposed to natural hazards such as earthquakes, landslides, sinkholes, flooding, and wildfires. With climate change causing an increasing frequency of extreme weather events, the triggering conditions for some of those natural hazards are becoming more frequent and severe. Hence, it is becoming increasingly important to investigate the subsurface characteristics and processes linked to these hazards to assess the risk that they pose.
Recent advances in geophysical sensing, sensor networks, and remote sensing products enable an increasingly detailed and multifaceted understanding of the processes linked to natural hazards. This enables the design of effective and proactive mitigation measures to reduce the risk that these hazards pose to communities and infrastructure. We invite observational and modeling studies demonstrating novel geophysical approaches for investigating and monitoring natural hazards, and encourage submissions that link near-surface geophysical methods with earth system modeling, machine learning, or novel sensor deployments and analytics to design effective mitigation strategies for natural hazards.
Index Terms:
1835 Hydrogeophysics [HYDROLOGY]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
4341 Early warning systems [NATURAL HAZARDS]
Primary Convener: Sebastian Uhlemann, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners: Sina Saneiyan, University of Oklahoma, School of Geosciences, Norman, United States, Angela Perrone, CNR Institute of Methodologies for Environmental Analysis, Potenza, Italy and Xavier Comas, Florida Atlantic University, Geosciences, Boca Raton, FL, United States
See more of: Near Surface Geophysics