Danya AbdelHameid

Danya AbdelHameid

Years participated in RESESS:

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An Overview

Major: Geology, Physics
Academic Affiliation: College of William and Mary
Research Mentors: William Levandowski and Oliver Boyd
Communications Mentor: Alexander Crawford


Danya’s interest in the geosciences began as an offshoot of a broader interest in environmental justice and water conservation. Recently, her interests have shifted slightly, centering on the applications of remote sensing and other imaging methods to study and analyze the Earth. This summer, Danya worked to characterize the attenuation of Lg phase waves in the Rocky Mountain Central-United States Transition Zone to improve ground motion characterization in the USGS National Seismic Hazard and supplement the attenuation component of the USGS National Crustal Model.


A High Resolution, Local-scale Characterization of Lg Attenuation in the Rocky Mountain–Central United States Transition Zone

Notable regional-scale differences in seismic attenuation exist across the continental United States, and it is well established that the attenuation of Lg-phase waves is greater west of the Rocky Mountains than east of the Rocky Mountains. However, there is considerably less clarity in delineating the boundary or defining the transition in attenuation between the Western U.S. (WUS) and the Central and Eastern US (CEUS). Utilizing Lg-phase waves recorded at regional distances (110-1100 km) at ~400 seismic stations from Nevada to Missouri, we compute the path-averaged apparent quality factor (the inverse of attenuation) Q, source terms, and local amplification factors at a one-octave frequency band centered on 1.0 Hz. Ultimately we produce a high-resolution, local-scale analysis of frequency-dependent Lg attenuation, Q(f), in the Basin and Range, Rocky Mountains, Interior Plains, Colorado Plateau, and Atlantic Plain regions. Additionally, we provide first-order characterizations of the amplification and dampening of seismic waves in each region. Q is a crucial component for modeling the variation of ground motion prediction equations (GMPEs), and our refined Q(f) model will provide valuable insight into local-scale attenuation mechanisms and supplements the attenuation component of the USGS National Crustal Model, which will lead to improved ground motion characterization in the USGS National Seismic Hazard map.