Publications

Molecularly imprinted polymer electrochemical sensors (MIP-ES) are a promising approach for detecting less electrochemically active contaminants, such as per- and polyfluoroalkyl substances (PFAS). However, exposure of poly(o-phenylenediamine) [poly(o-PD)]-based MIP films to strongly acidic conditions can alter the polymer environment and complicate the interpretation of electron...

No abstract available.

Macroseismology plays a crucial role in earthquake hazard and risk analyses, linking past earthquake occurrences and impacts with those of the present and future. The popularity of internet-based community contributions and the usefulness of intensities for communicating seismic hazards, early warning, and impacts to the public have all bolstered the use of macroseismology beyond its...

The National Wildlife Disease Database (NWDD) is a national information hub that integrates wildlife disease data across jurisdictions to guide natural resource management and deliver early warnings of unusual events and emerging threats, strengthening public health preparedness and protecting the agricultural economy.

Executive Summary We surveyed for coastal Cactus Wren (Campylorhynchus brunneicapillus) in 498 established plots in San Diego County, California, in 2025, encompassing 4 genetic clusters (Otay, Lake Jennings, Sweetwater/Encanto, and San Pasqual). Of the 498 plots, 372 have been surveyed every year starting in 2020. Two surveys were completed at each plot between March 1 and July 31...

This report presents the results of slip tendency and dilation tendency analysis of Quaternary faults in the Great Basin region, in the states of Arizona, California, Idaho, Nevada, Oregon, Utah, and Wyoming. This effort was undertaken as part of two studies: the U.S. Department of Energy Geothermal Technologies Office-funded Innovative Geothermal Exploration through Novel Investigations...

This study analyzed precipitation probability distributions, percent runoff, and trends in precipitation from 1980 to 2019 in the Brazos, Colorado, Guadalupe, Neches, Red, and Trinity river basins in Texas for 25 U.S. Army Corps of Engineers reservoirs and 15 other reservoirs for the purpose of flood risk and water-resource management. Probability distribution analyses include annual and...

In the United States, private well owners are responsible for monitoring and maintaining their drinking water but have little control over neighboring contamination sources and limited information about daily water quality. Potential for rapid contamination in karst settings exacerbates the challenge. The Runoff Risk Advisory Forecast (RRAF) is a real-time online tool available in five...

We utilized geodetic data from the 16 May to 4 August 2018 caldera collapse sequence to refine the geometries and pressure evolution of two summit reservoirs at Kīlauea volcano: the shallower Halema‘uma‘u (HMM) and deeper South Caldera (SC) reservoirs. We modeled magma reservoirs as pressurized spheroidal cavities and constrained reservoir geometries with Global Positioning System (GPS)...

Cyanobacteria harmful algal blooms (cyanoHABs) pose environmental and public health risks in lakes with highly variable cyanobacteria and cyanotoxin distributions. We compared results from 3 independent monitoring programs to characterize spatiotemporal patterns in the stratified, mesotrophic Owasco Lake, one of the Finger Lakes in New York. Biweekly open-water samples collected at...

The dual seismological developments of large-scale offshore observational networks and high-quality machine-learning earthquake detection and picking allow unprecedented seismicity detection in high hazard subduction zones. We develop a high resolution machine learning enhanced seismicity catalog for the Alaska Peninsula stretch of the Alaska-Aleutian Subduction Zone, which was...

We characterize seismic site response across a densely instrumented region of the Los Angeles Basin by combining data from the Community Seismic Network (CSN) and regional networks in the Advanced National Seismic System (ANSS). Mixed-effects regression is used to partition ground-motion model residuals and compute pseudo-spectral acceleration site residuals (ηs) from the NGA-West2...