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USGS Science Centers in Region 8: Lower Colorado Basin produce hundreds of USGS-series publications, journal papers, and books each year that are subject to rigorous peer review by USGS specialists. The publications shown below on this webpage are related to study areas and staff members of USGS Science Centers in Region 8 compiled from the USGS Publications Warehouse.

Colorado River Basin Actionable and Strategic Integrated Science and Technology Project—Science strategy

The U.S. Geological Survey (USGS) conducts a wide variety of science that improves understanding of droughts and their effects on ecosystems and society. This work includes data collection and monitoring of aquatic and terrestrial systems; assessment and analysis of patterns, trends, drivers, and impacts of drought; development and application of predictive models; and delivery of information and
Katharine G. Dahm, Todd Hawbaker, Rebecca J. Frus, Adrian P. Monroe, John B. Bradford, William J. Andrews, Alicia Torregrosa, Eric D. Anderson, David Dean, Sharon L. Qi

Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST)

IntroductionThe U.S. Geological Survey (USGS) is initiating a study approach focused on building cross-disciplinary connections to weave together the scientific knowledge related to drought conditions and effects in the Colorado River Basin. The basin is experiencing the worst drought in recorded history, posing unprecedented new challenges in the basin and in areas relying on water from the basin
Katharine G. Dahm, Daniel Jones, Patrick J. Anderson, Meghan C. Dick, Todd Hawbaker, Robert Horton

U.S. Geological Survey Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST)—Information Management Technology Plan

IntroductionMore than 840 publications, 575 data releases, and 330 project web pages from the U.S. Geological Survey (USGS) pertain to the Colorado River Basin. Limited interconnections between Colorado River Basin publications, data, and web pages restrict the ability to synthesize and interpret scientific resources. Currently, these pieces are spread across multiple isolated locations, internal
Eric D. Anderson, Jennifer R. Erxleben, Sharon L. Qi, Adrian P. Monroe, Katharine G. Dahm

Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)

The California Department of Transportation, commonly known as CalTrans, and other municipal separate storm sewer system permittees in California as well as other State departments of transportation nationwide need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff and discharges from stormwater best management practices (BMPs). Altho
Gregory E. Granato, Paul J. Friesz

USGS National Water Quality Monitoring Network

What is the U.S. Geological Survey National Water Quality Monitoring Network?Understanding the water quality of U.S. streams and rivers requires consistent data collection and analysis over decades. The U.S. Geological Survey’s (USGS) National Water Quality Network (NWQN) was established to facilitate national-scale understanding of surface-water quality conditions through the collection of compar
Melissa L. Riskin, Casey J. Lee

Evaluation and application of the Purge Analyzer Tool (PAT) to determine in-well flow and purge criteria for sampling monitoring wells at the Stringfellow Superfund site in Jurupa Valley, California, in 2017

The U.S. Geological Survey and U.S. Environmental Protection Agency are developing analytical tools to assess the representativeness of groundwater samples from fractured-rock aquifers. As part of this effort, monitoring wells from the Stringfellow Superfund site in Jurupa Valley in Riverside County, California, approximately 50 miles east of Los Angeles, were field tested to collect information t
Philip T. Harte, Tomas Perina, Kent Becher, Herb Levine, Daewon Rojas-Mickelson, Lesley Walther, Anthony A. Brown

Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams

Chemical-contaminant mixtures are widely reported in large stream reaches in urban/agriculture-developed watersheds, but mixture compositions and aggregate biological effects are less well understood in corresponding smaller headwaters, which comprise most of stream length, riparian connectivity, and spatial biodiversity. During 2014–2017, the U.S. Geological Survey (USGS) measured 389 unique orga

Paul M. Bradley, Celeste A. Journey, Kristin M. Romanok, Sara E. Breitmeyer, Daniel T. Button, Daren M. Carlisle, Bradley Huffman, Barbara Mahler, Lisa H. Nowell, Sharon L. Qi, Kelly L. Smalling, Ian R. Waite, Peter C. Van Metre

Changing climate drives future streamflow declines and challenges in meeting water demand across the southwestern United States

Society and the environment in the arid southwestern United States depend on reliable water availability, yet current water use outpaces supply. Water demand is projected to grow in the future and climate change is expected to reduce supply. To adapt, water managers need robust estimates of future regional water supply to support management decisions. To address this need, we estimate future strea
Olivia L. Miller, Annie L. Putman, Jay R. Alder, Matthew P. Miller, Daniel Jones, Daniel Wise

Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States

This study assesses the potential impact of drought on arsenic exposure from private domestic wells by using a previously developed statistical model that predicts the probability of elevated arsenic concentrations (>10 μg per liter) in water from domestic wells located in the conterminous United States (CONUS). The application of the model to simulate drought conditions used systematically reduce
Melissa Lombard, Johnni Daniel, Zuha Jeddy, Lauren Hay, Joseph D. Ayotte

A new technique to calculate earthquake stress transfer and to forecast aftershocks

Coseismic stress changes have been the primary physical principle used to explain aftershocks and triggered earthquakes. However, this method does not adequately forecast earthquake rates and diverse rupture populations when subjected to formal testing. We show that earthquake forecasts can be impaired by assumptions made in physics-based models, such as the existence of hypothetical optimal fault
Margarita Segou, Thomas E. Parsons