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We are operating at maximum telework and continue to conduct the important work of the USGS, including maintaining mission essential and critical functions. We have implemented new safety and fieldwork processes to maintain social distancing to ensure the safety of our employees and communities while following all guidance from the White House, Department of the Interior, USGS, Centers for Disease Control and Prevention (CDC), and Pennsylvania state and local authorities.
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News
Northeastern U.S. Streams During Tropical Storm Henri
Streamflow and water level changed dramatically as Tropical Storm Henri made landfall in the northeastern U.S. in late August, 2021, as shown by the Water Footprint Data Visualization.
Spring Grove Weir Removal
Pennsylvania Water Science Center personnel remove broad-crested weir, Codorus Creek at Spring Grove
Science Outreach at Riverview High School
USGS staff participated in science outreach at Riverview High School, where students learned about environmental science and took part in interactive learning experiences.
Publications
Managed aquifer recharge suitability—Regional screening and case studies in Jordan and Lebanon
The U.S. Geological Survey, at the request of the U.S. Agency for International Development, led a 5-year regional project to develop and apply methods for water availability and suitability mapping for managed aquifer recharge (MAR) in the Middle East and North Africa region. A regional model of surface runoff for the period from 1984 to 2015 was...
Goode, Daniel J.
Geophysical and video logs of selected wells at and near the former Naval Air Warfare Center Warminster, Bucks County, Pennsylvania, 2017-19
The U.S. Geological Survey (USGS) collected borehole geophysical and video logs in 17 open-hole wells in Northampton, Warminster, and Warwick Townships, Bucks County, Pennsylvania during 2017–19 to support detailed groundwater investigations at and near the former Naval Air Warfare Center (NAWC) Warminster, where groundwater contamination with per...
Senior, Lisa A.; Anderson, J. Alton; Bird, Philip H.
Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States
Globally, over 200 million people are chronically exposed to arsenic (As) and/or manganese (Mn) from drinking water. We used machine-learning (ML) boosted regression tree (BRT) models to predict high As (>10 μg/L) and Mn (>300 μg/L) in groundwater from the glacial aquifer system (GLAC), which spans 25 states in the northern United States and...
Erickson, Melinda L.; Elliott, Sarah M.; Brown, Craig J.; Stackelberg, Paul; Ransom, Katherine Marie; Reddy, James E.; Cravotta, Charles A.