The Caldor Fire was ignited on August 14, 2021, and burned almost 222,000 acres (898 square kilometers) in forested terrain of the central and western Sierra Nevada, California. During the subsequent two months, the fire burned nearly all of Sly Park Creek watershed in El Dorado County. The El Dorado Irrigation District manages the water supply for the area using storage in Jenkinson Lake, a 1.6-kilometer- (1.0-mile-) wide and 3.6-kilometer- (2.2-mile-) long reservoir, located south of the town of Pollock Pines. Several weeks after the fire, the U.S. Geological Survey began investigations into post-fire landscape responses, including sediment yield, by measuring new sediment deposition in Jenkinson Lake. This study focused on the collection and processing of bathymetric and acoustic-backscatter data, as well as onshore aerial imagery in and around Jenkinson Lake, to support wildfire science after the Caldor Fire. A colored shaded-relief bathymetric map (sheet 1) and an acoustic backscatter map (sheet 2) show the lake floor morphology and backscatter intensities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3548","usgsCitation":"Dartnell, P., Logan, J.B., East, A.E., Hatcher, G.A., Currie, J.E., Marcuson, R.K., Powers, D.C., Dal Ferro, P., and McKee, J.A., 2026, Colored shaded-relief bathymetric and acoustic-backscatter maps of Jenkinson Lake with orthomosaic of the Sly Park Creek and Hazel Creek area, California: U.S. Geological Survey Scientific Investigations Map 3548, 2 sheets, scale 1:6,000, https://doi.org/10.3133/sim3548.","productDescription":"2 Sheets: 34.84 x 26.78 inches; 2 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-178309","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":505751,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14QWDYN","text":"USGS data release","description":"Logan, J.B. and East, A.E., 2024, Digital surface models and orthomosaic images from UAS surveys of Jenkinson Lake, El Dorado County, CA: U.S. Geological Survey data release, https://doi.org/10.5066/P14QWDYN.","linkHelpText":"Digital surface models and orthomosaic images from UAS surveys of Jenkinson Lake, El Dorado County, CA"},{"id":505749,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3548/sim3548_sheet2.pdf","text":"Sheet 2","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3548 Sheet 2"},{"id":505750,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BSSDY","text":"USGS data release","description":"Dartnell, P., East, A.E., Logan, J., Hatcher, G.A., Currie, J.E., Marcuson, R.K., Powers, D.C., Dal Ferro, P., and McKee, J.A., 2024, Bathymetry and acoustic backscatter data for Jenkinson Lake, California collected during three USGS field activities, 2022-604-FA, 2022-649-FA, and 2023-634-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P13BSSDY.","linkHelpText":"Bathymetry and acoustic backscatter data for Jenkinson Lake, California collected during three USGS field activities, 2022-604-FA, 2022-649-FA, and 2023-634-FA"},{"id":505748,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3548/sim3548_sheet1.pdf","text":"Sheet 1","size":"24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3548 Sheet 1"},{"id":505747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3548/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Jenkinson Lake, Sly Park Creek and Hazel Creek area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5883,\n 38.75\n ],\n [\n -120.51,\n 38.75\n ],\n [\n -120.51,\n 38.7\n ],\n [\n -120.5883,\n 38.7\n ],\n [\n -120.5883,\n 38.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
For more than a century, researchers have debated the route of the Snake River across the northern Cordillera and U.S. Pacific Northwest, including the associated incision history of Hells Canyon. Here, we use detrital zircon U-Pb provenance analysis of Miocene strata upstream and downstream of Hells Canyon to constrain the evolution in fluvial pathways over time. Downstream of Hells Canyon, we show that the ca. 10−6 Ma Clarkston Heights gravel was dominantly sourced from the nearby Salmon and Clearwater rivers but also with substantial input from drainages that now flow into the western Snake River Plain. These same western Snake River Plain drainages were contributing to time-equivalent Lake Idaho strata, upstream of Hells Canyon, indicating a Hells Canyon fluvial connection between the western Snake River Plain and Columbia basin before 6 Ma. Results from Lake Idaho strata suggest a two-phased lacustrine history in the western Snake River Plain: Before ca. 6.0 Ma, lake strata were derived from local tributaries, suggesting that the western Snake River Plain was isolated from the modern upper Snake River system. Between ca. 4.3 Ma and 2.2 Ma, the source area expanded to include eastern tributaries in conjunction with migration of high-standing topography of the Yellowstone hotspot. Our results challenge the long-held hypothesis of “capture” of the Snake River through Hells Canyon. Instead, we infer that Hells Canyon was a long-established route for outflow of lakes occupying the western Snake River Plain, possibly intermittently, during a ca. 10−2 Ma phase of slow regional incision, followed by rapid incision in Hells Canyon starting ca. 2 Ma in conjunction with erosion of the topographic barrier impounding Lake Idaho.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B39068.1","usgsCitation":"Staisch, L.M., O'Connor, J., Cannon, C.M., Holm-Denoma, C., and Schwid, M., 2026, Long-term intermittent connection between the western Snake River Plain and Columbia basin: A two-phased incision history of Hells Canyon: GSA Bulletin, https://doi.org/10.1130/B39068.1.","ipdsId":"IP-183235","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":505669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Hells Canyon, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.5,\n 45.5\n ],\n [\n -119.5,\n 45.5\n ],\n [\n -119.5,\n 42\n ],\n [\n -113.5,\n 42\n ],\n [\n -113.5,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":963172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":963173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":963174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwid, Maxwel Fredrick 0000-0001-6193-2424","orcid":"https://orcid.org/0000-0001-6193-2424","contributorId":351221,"corporation":false,"usgs":true,"family":"Schwid","given":"Maxwel Fredrick","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963175,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276715,"text":"70276715 - 2026 - Continental-scale prediction of hydrologic signatures and processes","interactions":[],"lastModifiedDate":"2026-06-17T14:40:48.757748","indexId":"70276715","displayToPublicDate":"2026-06-16T09:32:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24816,"text":"Hydrology and Earth System Sciences (HESS)","active":true,"publicationSubtype":{"id":10}},"title":"Continental-scale prediction of hydrologic signatures and processes","docAbstract":"Understanding how dominant hydrologic processes and their drivers vary across diverse continental-scale landscapes is critical for hydrologic modeling and water management applications. Our research addresses this question by synthesizing large-sample watershed datasets, Caravan and GAGES-II, and developing random forest models to identify patterns in hydrologic function. We assessed dominant processes by examining hydrologic signatures – summary indicators of watershed function derived from hydroclimatic time series and random forest models across 14 146 gauged United States watersheds. The results reveal clear continental-scale gradients in hydrologic processes, including baseflow, overland flow, storage, and water balance losses. Our map of dominant processes highlights, for example, the transition from baseflow to fast responses and back to baseflow along the elevation gradient from the Appalachian spine, through the Piedmont, to the Eastern Coastal Plain; a distinct outer ring around the Great Lakes region; and sharp contrasts between coastal and inland processes in the West. Variable importance analysis from random forest models show that processes in the western U.S. are primarily controlled by climate, whereas in the eastern U.S., soil, geology, and topography play larger roles, with distinct human influences apparent in urban areas. Our approach of estimating dominant processes and their drivers facilitates extending process knowledge from research watersheds to the continental scale, assessing current hydrological understanding, and evaluating hydrological model structures.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-30-3647-2026","usgsCitation":"Akari, R., Holt, A., Hammond, J., Husic, A., Coxon, G., and McMillan, H., 2026, Continental-scale prediction of hydrologic signatures and processes: Hydrology and Earth System Sciences (HESS), v. 30, p. 3647-3673, https://doi.org/10.5194/hess-30-3647-2026.","productDescription":"27 p.","startPage":"3647","endPage":"3673","ipdsId":"IP-181464","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":505647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n 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University","active":true,"usgs":false}],"preferred":false,"id":963099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Husic, Admin","contributorId":372484,"corporation":false,"usgs":false,"family":"Husic","given":"Admin","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":963101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coxon, Gemma","contributorId":190753,"corporation":false,"usgs":false,"family":"Coxon","given":"Gemma","email":"","affiliations":[],"preferred":false,"id":963102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMillan, Hilary","contributorId":372485,"corporation":false,"usgs":false,"family":"McMillan","given":"Hilary","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":963103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276310,"text":"sir20265004 - 2026 - Magnitude and frequency of peak and low flows in the Elkhorn River Basin, Nebraska, 1881–2022","interactions":[],"lastModifiedDate":"2026-06-08T17:31:38.579231","indexId":"sir20265004","displayToPublicDate":"2026-06-08T11:29:08","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5004","displayTitle":"Magnitude and Frequency of Peak and Low Flows in the Elkhorn River Basin, Nebraska, 1881–2022","title":"Magnitude and frequency of peak and low flows in the Elkhorn River Basin, Nebraska, 1881–2022","docAbstract":"Flood-frequency analysis is based on records of annual maximum instantaneous flows observed at long-term streamgages with 10 years or more of operation. Since the last flood-frequency analysis in Nebraska, an additional 30 years of annual peak-flow data have become available, and new flood-frequency analysis techniques have been developed. Moreover, the Elkhorn River Basin in north-central and eastern Nebraska has experienced two of the three highest magnitude floods on record in 2010 and 2019. The U.S. Geological Survey, in cooperation with the Nebraska Department of Transportation, analyzed flow frequency at streamgages in the Elkhorn River Basin in Nebraska.
Flow data from the U.S. Geological Survey and the Nebraska Department of Water, Energy, and Environment annual hydrographic reports were utilized to analyze peak flows. The Peak flow FreQuency (PeakFQ) software was used to perform a flood-frequency and nonstationarity analysis on the selected streamgages in the Elkhorn River Basin in Nebraska. Results of the peak-flow nonstationarity analysis indicate that, of the 23 streamgages analyzed for peak-flow frequency, 4 showed trends that were likely increasing for annual peak flows, whereas 3 indicated trends that were somewhat likely to be increasing. For 11 streamgages, the trend was categorized as about as likely as not, meaning there is less than a 70-percent chance of the trend being either upward or downward. Additionally, 2 streamgages exhibited trends that were somewhat likely to be decreasing, and 3 streamgages showed trends that were likely decreasing.
Low-flow streamflows and nonstationarity in the Elkhorn River Basin were analyzed for low flow periods representing the 1-day, 7-day, and 30-day flows at 21 streamgages using the Hydrologic Toolbox software. Spatially, the nonstationarity analysis results indicated likely increasing or somewhat increasing trend likelihoods for the 1-day, 7-day, and 30-day low flows for many of the Elkhorn streamgages downstream from the Elkhorn River at Ewing, Nebr., streamgage (U.S. Geological Survey station 06797500) and on eastern tributaries during the period of record.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265004","collaboration":"Prepared in cooperation with Nebraska Department of Transportation","usgsCitation":"Strauch, K.R., and Dietsch, B.J., 2026, Magnitude and frequency of peak and low flows in the Elkhorn River Basin, Nebraska, 1881–2022: U.S. Geological Survey Scientific Investigations Report 2026–5004, 17 p., https://doi.org/10.3133/sir20265004.","productDescription":"Report: iv, 17 p.; 2 Appendix Tables; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-156799","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":505177,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119486.htm","linkFileType":{"id":5,"text":"html"}},{"id":504752,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5004/images/"},{"id":504751,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SLKHD1","text":"USGS data release","linkHelpText":"Data in support of flow frequency report—Magnitude and frequency of peak and low flows in the Elkhorn River Basin, Nebraska, 1881–2022"},{"id":504750,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2026/5004/downloads/","text":"Tables 1.1 and 1.2","linkFileType":{"id":7,"text":"csv"}},{"id":504749,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265004/full","description":"SIR 2026–5004 HTML"},{"id":504748,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5004/sir20265004.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026–5004 XML"},{"id":504747,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5004/sir20265004.pdf","text":"Report","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026–5004 PDF"},{"id":504746,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5004/coverthb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Elkhorn River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 43\n ],\n [\n -96,\n 43\n ],\n [\n -96,\n 41\n ],\n [\n -100,\n 41\n ],\n [\n -100,\n 43\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Plains Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Introduction:
Ospreys (Pandion haliaetus) are well-known sentinels of aquatic ecosystem health and are indicators of both environmental contaminants and fish stocks. The Chesapeake Bay supports one of the largest osprey breeding populations in the world, but recent studies have documented declining reproductive performance and increasing food stress in some portions of the estuary.
Methods:
We monitored osprey nests (N = 571) throughout the Chesapeake Bay during the 2024 breeding season and compared breeding metrics between high-salinity (>10 parts per thousand [ppt]) and low-salinity (<5 ppt) study areas. We also compared contemporary breeding performance within four high-salinity sites to historical data collected during the 1980s.
Results:
Salinity was strongly associated with breeding performance and the likelihood that pairs achieved productivity levels required for population maintenance. All high-salinity study areas functioned as demographic sinks, whereas low-salinity areas functioned as demographic sources. Breeding metrics including the proportion of pairs breeding, clutch size, nesting failure, brood reduction, and nestling loss all suggested greater food stress within high-salinity areas. Temporal comparisons documented substantial declines in reproductive performance between the 1980s and 2024 within high-salinity study sites. High-salinity sites during the 1980s exhibited breeding performance comparable to low-salinity sites in 2024.
Discussion:
Although several factors may influence osprey productivity within the Chesapeake Bay, we suggest that reduced availability of Atlantic menhaden (Brevoortia tyrannus) is a primary driver of poor reproductive performance within high-salinity waters.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2026.1685158","usgsCitation":"Watts, B.D., Hines, C., Byrd, M., Lukei, R.F., Paxton, B.J., Duval, L., Spiewak, K., Kearns, G.D., Day, D.D., and Rattner, B., 2026, Widespread reproductive deficits in Chesapeake Bay ospreys: Frontiers in Marine Science, v. 13, 1685158, 15 p., https://doi.org/10.3389/fmars.2026.1685158.","productDescription":"1685158, 15 p.","ipdsId":"IP-182157","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":505501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2026.1685158","text":"Publisher Index Page"},{"id":505403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.6204581,\n 39.0270192\n ],\n [\n -77.472443534016,\n 39.0270192\n ],\n [\n -77.472443534016,\n 36.6113708\n ],\n [\n -75.6204581,\n 36.6113708\n ],\n [\n -75.6204581,\n 39.0270192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2026-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Bryan D","contributorId":243507,"corporation":false,"usgs":false,"family":"Watts","given":"Bryan","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":962804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, Chance","contributorId":372118,"corporation":false,"usgs":false,"family":"Hines","given":"Chance","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":962805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Mitchell","contributorId":372119,"corporation":false,"usgs":false,"family":"Byrd","given":"Mitchell","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":962806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukei, Reese F. Jr.","contributorId":372120,"corporation":false,"usgs":false,"family":"Lukei","given":"Reese","suffix":"Jr.","middleInitial":"F.","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":962807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Barton J.","contributorId":372121,"corporation":false,"usgs":false,"family":"Paxton","given":"Barton","middleInitial":"J.","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":962808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duval, Laura","contributorId":372123,"corporation":false,"usgs":false,"family":"Duval","given":"Laura","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":962809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spiewak, Keriann","contributorId":372125,"corporation":false,"usgs":false,"family":"Spiewak","given":"Keriann","affiliations":[{"id":88263,"text":"Virginia Aquarium & Marine Science Center","active":true,"usgs":false}],"preferred":false,"id":962810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kearns, Gregory D.","contributorId":28331,"corporation":false,"usgs":false,"family":"Kearns","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":962811,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Day, Daniel D. 0000-0001-9070-7170","orcid":"https://orcid.org/0000-0001-9070-7170","contributorId":20298,"corporation":false,"usgs":true,"family":"Day","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":962812,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rattner, Barnett 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":221814,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":962813,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276609,"text":"70276609 - 2026 - Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography","interactions":[],"lastModifiedDate":"2026-06-11T14:11:59.66026","indexId":"70276609","displayToPublicDate":"2026-05-29T09:06:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18010,"text":"JGR Machine Learning and Computation","active":true,"publicationSubtype":{"id":10}},"title":"Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography","docAbstract":"Self-potential (SP) monitoring has emerged as a valuable method for characterizing subsurface hydrogeological features and processes due to its sensitivity to fluid-induced electrokinetic effects. Despite advancements in SP inversion, challenges remain in imaging groundwater dynamics from SP activities due to complex hydrological settings and transient noise. In this study, a deep learning autoencoder (AE)-based framework is proposed for the spatiotemporal localization of subsurface fluid movement from time-lapse SP tomography. Temporal segments of time-lapse numerical inversions were first derived from long-term SP monitoring conducted from a floodplain site in Oak Ridge, Tennessee, known for active hyporheic exchange. Subsequently, AE models based on vision transformer (ViT), convolutional long short-term memory (ConvLSTM), convolutional neural network, and temporal convolutional network were individually trained and compared on the SP tomography segments for reconstruction performance. Finally, the reconstruction error over time serves as an anomaly score to identify moments of active SP variation, whereas spatial distributions of errors within these moments are analyzed to image and localize regions associated with anomalous subsurface fluid movement. The results demonstrate that ConvLSTM- and ViT-AE are most capable for the localization task with contrasting error distributions and consistent delineation of anomalies. Applying the method to both SP arrays parallel and perpendicular to the stream produced consistent anomaly zones near a fault or karst feature, validating the robustness and generalization of the approach. These results demonstrate the potential of the proposed framework as a scalable and interpretable tool for spatiotemporal analysis of subsurface flow dynamics in complex hydrogeological systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JH001208","usgsCitation":"Yin, H., Ikard, S., Rucker, D.F., Brooks, S.C., Dai, Z., Soltanian, M.R., and Carroll, K.C., 2026, Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography: JGR Machine Learning and Computation, v. 3, no. 3, e2025JH001208, 18 p., https://doi.org/10.1029/2025JH001208.","productDescription":"e2025JH001208, 18 p.","ipdsId":"IP-181872","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":505499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jh001208","text":"Publisher Index Page"},{"id":505401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","city":"Oak Ridge","otherGeospatial":"East Fork Poplar Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.23833522694086,\n 36.016061123798806\n ],\n [\n -84.39831073419363,\n 36.016061123798806\n ],\n [\n -84.39831073419363,\n 35.94029924736503\n ],\n [\n -84.23833522694086,\n 35.94029924736503\n ],\n [\n -84.23833522694086,\n 36.016061123798806\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Huichao 0000-0001-6172-5580","orcid":"https://orcid.org/0000-0001-6172-5580","contributorId":366938,"corporation":false,"usgs":false,"family":"Yin","given":"Huichao","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":962818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rucker, Dale F. 0000-0002-8930-2747","orcid":"https://orcid.org/0000-0002-8930-2747","contributorId":294463,"corporation":false,"usgs":false,"family":"Rucker","given":"Dale","email":"","middleInitial":"F.","affiliations":[{"id":63573,"text":"hydroGEOPHYSICS, Inc.","active":true,"usgs":false}],"preferred":false,"id":962820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Scott C. 0000-0002-8437-9788","orcid":"https://orcid.org/0000-0002-8437-9788","contributorId":294464,"corporation":false,"usgs":false,"family":"Brooks","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":962821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dai, Zhenxue 0000-0002-0805-7621","orcid":"https://orcid.org/0000-0002-0805-7621","contributorId":366941,"corporation":false,"usgs":false,"family":"Dai","given":"Zhenxue","affiliations":[{"id":87510,"text":"Jilin University","active":true,"usgs":false}],"preferred":false,"id":962822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Soltanian, Mohamad Reza 0000-0002-5126-0668","orcid":"https://orcid.org/0000-0002-5126-0668","contributorId":372147,"corporation":false,"usgs":false,"family":"Soltanian","given":"Mohamad","middleInitial":"Reza","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":962823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":962824,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276268,"text":"ofr20261017 - 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The objective of this study was to complete range-wide surveys to locate extant AGS colonies and to quantify the number of AGS observed at each location. From 2021–24, 284 surveys were done in 25 unique (that is, distinct) counties in 8 States in the Eastern United States — Maryland, Michigan, New York, North Carolina, Ohio, Pennsylvania, Virginia, and West Virginia. We found AGS in only two counties: Alleghany County, Virginia, and Greenbrier County, West Virginia. AGS were observed 180 times in these two counties. Our results can inform U.S. Fish and Wildlife decisions about where and how future AGS conservation efforts can be implemented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261017","collaboration":"Maryland Department of Natural Resources; Michigan State University Extension; New Jersey Department of Environmental Protection; New York Natural Heritage Program; North Carolina Department of Natural and Cultural Resources; Ohio Department of Natural Resources; Western Pennsylvania Conservancy; U.S. Fish and Wildlife Service; Virginia Department of Conservation and Recreation; West Virginia Division of Natural Resources","usgsCitation":"Vyas, N.B., Selfridge, J., Cuthrell, D., Somes, R., White, E., Ratcliffe, J., Lynch, J., Hamon, L., Wyza, E., Leppo, B., Woods, P., Tur, A., Drummey, D., Nolan, K., Orcutt, E., Rapp, A., Card, L., Goldner, J., and Olcott, S., 2026, Range-wide relative abundance of the Appalachian grizzled skipper (Pyrgus centaureae wyandot) in the Eastern United States: U.S. Geological Survey Open-File Report 2026–1017, 57 p., 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U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
Water is essential for life on Earth, supporting ecosystems, human health, and economic activities. Hydrology relies on observational data, and this paper discusses regional and national datasets for the conterminous United States (CONUS) publicly available as of 2023, focusing on headwaters, defined as first- and second-order streams at 1:24000 scale. It identifies 72 primary and secondary datasets and 11 repositories and argues how better integration and accessibility of hydrological data can improve research. The paper distinguishes between datasets where streamflow was the primary data collection objective and those where it was secondary. This distinction highlights opportunities to consider data from efforts peripheral to hydrology but is still useful for understanding hydrologic conditions. The analysis reveals that out of about 118 000 active and inactive stream observation sites, about 6.6% and 25% are located on first- and second-order streams, respectively. This indicates a substantial data gap for headwater systems, which account for over 77% of stream length in CONUS. Federal agencies manage 72% of hydrologic monitoring sites across all stream orders, but only 34% of these are in headwater systems. Academic institutions operate about 2% of sites, with almost half (48%) in headwater systems, focusing on ecosystem research. State agencies also operate about 2% of sites, primarily on larger systems, with 19% on headwaters. Additionally, 23% of sites are managed by multiple agencies. Spatial patterns further reveal pronounced disparities among physiographic regions. Eastern and coastal provinces show relatively dense monitoring, while central and western regions show sparse coverage. These gaps reflect historical priorities, logistical constraints, funding limitations, and the high cost of continuous instrumentation. To address biases in monitoring networks, data collection could be enhanced with low-cost monitoring, community science, and remote sensing technologies. This study also notes the benefits of long-term monitoring and prioritizing retention of streamgages with longer records.
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Given that southern flying squirrels are a species of concern within Nebraska, determining the origin of this new population (natural expansion or pet-trade) garnered interest from state biologists. Further, the recent colonization of Lincoln by southern flying squirrels presents a unique opportunity to investigate the genetic implications of a founding event on a small arboreal mammal. The Lincoln population had genetic characteristics suggestive of a single-event colonization with fewer rare alleles and lower genetic diversity than potential source populations and a high genetic variation between populations. Sample size and absence of other geographically close populations in our data set make it difficult to ascertain the origin of the Lincoln population. Based on shared co-ancestry and membership assignment clustering algorithms, the Lincoln population had greater genetic associations with an individual sampled from the native south-eastern Nebraska population relative to other studied locations, suggesting that Lincoln was colonized by a native population.
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The precipitation scenarios were used to develop a library of flood-inundation maps for a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city.
A two-dimensional U.S. Army Corps of Engineers Hydrologic Engineering Center–River Analysis System (HEC–RAS; ver. 6.5) rain-on-grid model was calibrated to selected runoff events representing a range of antecedent runoff conditions and hydrologic responses. Lowest adjacent grades for structures within the nearby study area were incorporated into the terrain, and depth grids and water-surface elevation grids were developed for the study area. Simulated velocities at selected bridge locations were also developed from the model. The model was calibrated using water-surface elevation data collected from water-level loggers (pressure transducers) and streamflow measurements and water-surface elevation measurements made at a reference point during runoff events. The calibrated HEC–RAS model was used to simulate streamflows from design rainfall events of 15-minute to 24-hour durations and ranging from a 100- to 0.1-percent annual exceedance probability (1-year to 1,000-year recurrence intervals). Flood-inundation maps were produced for depths at a reference location of 3 to 16 feet, or a depth exceeding the 0.1-percent annual exceedance probability interval precipitation. The results of each precipitation duration-frequency value were represented by a 1-foot-increment inundation map based on the generated peak streamflow from that rainfall event and the corresponding water-surface elevation at the East Fork Little Blue River reference location.
Within the HEC–RAS model, 240 scenarios were developed from the design rainfall events with each of 3 antecedent conditions. Additional scenarios were created to simulate the effects of projected precipitation scenarios on the 100-year recurrence interval, 24-hour storm and the 100-year recurrence interval, 6-hour storm. All simulation results were assigned to a flood-inundation map condition based on the generated peak flow and corresponding water-surface elevation at the East Fork Little Blue River reference location.
The flood-inundation maps are shown on a web mapping application made available to the public through the City of Lee’s Summit (hyperlink will be added when available). The flood-inundation maps are tied to real-time precipitation data obtained from the Automated Surface Observing System weather station at the Lee’s Summit Municipal Airport, accessible at https://mesonet.agron.iastate.edu/request/download.phtml?network=MO_ASOS. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265017","collaboration":"Prepared in cooperation with the City of Lee’s Summit, Missouri","usgsCitation":"Atkinson, A.A., 2026, Precipitation-based flood-inundation maps for the East Fork Little Blue River and tributaries at Lee’s Summit, Missouri, 2024: U.S. Geological Survey Scientific Investigations Report 2026–5017, 24 p., https://doi.org/10.3133/sir20265017.","productDescription":"Report: viii; 24 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161724","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504709,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119450.htm","linkFileType":{"id":5,"text":"html"}},{"id":504500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5017/coverthb.jpg"},{"id":504501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.pdf","text":"Report","size":"9.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5017 PDF"},{"id":504502,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265017/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5017"},{"id":504503,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.XML","description":"SIR 2026-5017"},{"id":504504,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5017/images"},{"id":504505,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13NSPHQ","text":"USGS data release","linkHelpText":"Geospatial data and model archives associated with precipitation-driven flood-inundation mapping of the East Fork Little Blue River and associated tributaries at Lee’s Summit, Missouri"}],"country":"United States","state":"Missouri","otherGeospatial":"East Fork Little Blue River and Tributaries at Lee’s Summit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.4,\n 38.95\n ],\n [\n -94.3,\n 38.95\n ],\n [\n -94.3,\n 38.9\n ],\n [\n -94.4,\n 38.9\n ],\n [\n -94.4,\n 38.95\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The U.S. Geological Survey, in cooperation with the City of Lee’s Summit, Missouri, assessed flooding of the East Fork Little Blue River and tributaries for varying precipitation magnitudes and durations, varying antecedent runoff conditions, and projected climate-change conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Atkinson, Allison A. 0009-0001-7572-0729 aatkinson@usgs.gov","orcid":"https://orcid.org/0009-0001-7572-0729","contributorId":330979,"corporation":false,"usgs":true,"family":"Atkinson","given":"Allison","email":"aatkinson@usgs.gov","middleInitial":"A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961727,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276643,"text":"70276643 - 2026 - Monazite and xenotime U-Pb geochronology and thermometry of the Blue Ridge and Inner Piedmont of North Carolina: Implications for the thermal-metamorphic evolution of the southern Appalachian metamorphic “core”","interactions":[],"lastModifiedDate":"2026-06-15T15:05:41.288731","indexId":"70276643","displayToPublicDate":"2026-05-18T07:58:31","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Monazite and xenotime U-Pb geochronology and thermometry of the Blue Ridge and Inner Piedmont of North Carolina: Implications for the thermal-metamorphic evolution of the southern Appalachian metamorphic “core”","docAbstract":"The southern Appalachian orogen preserves a complex distribution of metamorphism and deformation varying in timing, magnitude, and spatial extent. These complexities give rise to disparate interpretations for southern Appalachian tectonic evolution, which complicates the testing and interpretation of tectonic models in this system. New monazite (Mnz) and xenotime (Xtm) laser ablation split stream (LASS) analyses alongside Mnz-Xtm thermometry in the orogenic core in the eastern Blue Ridge (EBR), western Inner Piedmont (WIP), and Cat Square terranes (CST) of North Carolina yield new constraints that define distinct pro- and retrograde metamorphic events. The EBR preserves two prograde thermal events: the Taconic (∼470-440 Ma, >660°C) and Neoacadian (∼380-340 Ma, 600–700°C), separated by a period of cooling (exhumation?) and followed by garnet breakdown from 339 to 329 Ma. Evidence of pervasive Neoacadian ductile deformation in the EBR is largely limited to the Brevard fault zone (BFZ), indicating that a major rheological gradient existed across the BFZ during the Neoacadian and early Alleghanian. Southeast of the BFZ, in the WIP and CST, monazite data define a protracted Neoacadian evolution from early mineral growth at ∼405 Ma at ∼450–600°C to >700°C at ∼360 Ma, followed by early Alleghanian retrograde metamorphism and deformation (<345 Ma, 350–500°C). These constraints, together with previously reported thermobarometric data, define a P-T-t evolution for the WIP and CST consistent with Neoacadian crustal flow, while the coeval presence of a thermal-rheological boundary along the BFZ further supports a model of Neoacadian crustal “escape” flow within the orogen.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025TC009167","usgsCitation":"Powell, N.E., Thigpen, J.R., Spencer, B.M., Merschat, A.J., Moecher, D.P., Mako, C.A., Hatcher, R.D., Stowell, H.H., and Kylander-Clark, A.R., 2026, Monazite and xenotime U-Pb geochronology and thermometry of the Blue Ridge and Inner Piedmont of North Carolina: Implications for the thermal-metamorphic evolution of the southern Appalachian metamorphic “core”: Tectonics, v. 45, no. 5, e2025TC009167, 28 p., https://doi.org/10.1029/2025TC009167.","productDescription":"e2025TC009167, 28 p.","ipdsId":"IP-178654","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":505578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA \"}}]}","volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":962939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thigpen, J. 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Jr.","contributorId":372235,"corporation":false,"usgs":false,"family":"Hatcher","given":"Robert","suffix":"Jr.","middleInitial":"D.","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":962945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stowell, Harold H.","contributorId":372236,"corporation":false,"usgs":false,"family":"Stowell","given":"Harold","middleInitial":"H.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":962946,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kylander-Clark, Andrew R.C. 0000-0002-4034-644X","orcid":"https://orcid.org/0000-0002-4034-644X","contributorId":302380,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","middleInitial":"R.C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":962947,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276407,"text":"70276407 - 2026 - Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","interactions":[],"lastModifiedDate":"2026-06-04T19:56:25.660858","indexId":"70276407","displayToPublicDate":"2026-05-15T09:19:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","title":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","docAbstract":"Melanistic lesions, including non-raised black areas due to proliferations of melanocytes and melanomacrophages in the dermis and epidermis, as well as raised black areas consistent with melanoma, are described in brown bullhead (BBH) Ameiurus nebulosus from three water bodies in the northeastern United States and Quebec, Canada. First observed in the Vermont portion of Lake Memphremagog, Vermont, USA and Quebec, Canada, the prevalence of melanistic lesions during 2014–2020 was greater than 30% in BBH 200 mm and longer. In 2023, seven sites throughout the lake were assessed, and prevalence ranged from 18% to 42%. In Hermon Pond, Maine, the prevalence was 29% in 2024, and in Village Pond, New Hampshire, lesions occurred in 22% of BBH in 2025. Compared to skin from visibly normal BBH, skin with melanistic lesions had significantly higher concentrations of seven metals, including arsenic, a known carcinogen and zinc. Lesions associated with oxidative damage, such as the accumulation of ceroid/lipofuscin, were also observed in the gill, spleen and kidney tissue of both affected and visibly normal BBH. The progression of lesions, observed by histopathology, ranged from inflammation, signs of oxidative damage, proliferation and necrosis of club cells, and the presence of melanomacrophages and melanocytes in the epidermis to invasive melanoma and suggests chronic exposure of BBH to environmental initiators and promoters of carcinogenesis.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70207","usgsCitation":"Blazer, V., Emerson, P., Bodnar, M., Jones, T., Russel, D.R., Pehrson, M., Smith, C.R., Cleveland, D.M., Henderson, M., and Mazik, P., 2026, Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors: Journal of Fish Diseases, https://doi.org/10.1111/jfd.70207.","ipdsId":"IP-184408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":505303,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RTUEKV","text":"USGS data release","linkHelpText":"Biological and Chemical Findings Associated with Melanoma and Other Melanistic Lesions in Brown Bullhead Ameiurus nebulosus from Selected Northeast United States and Quebec Waterbodies"},{"id":504995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New Hampshire, New York, Quebec, Vermont","otherGeospatial":"Lake Memphremagog","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.66071499002388,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 46.2739534350911\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":962344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emerson, P.","contributorId":371775,"corporation":false,"usgs":false,"family":"Emerson","given":"P.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodnar, M.","contributorId":371776,"corporation":false,"usgs":false,"family":"Bodnar","given":"M.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Thomas","contributorId":371818,"corporation":false,"usgs":false,"family":"Jones","given":"Thomas","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russel, D. 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Electrical resistivity data were collected along a total of 22 transects during March 14–18, 2022, and November 17–21, 2025. Results from electrical resistivity surveys were used to delineate the top of glacial till deposits for the purpose of characterizing the Big Sioux aquifer near the city. Delineating geologic contacts provides important information on groundwater storage, flow dynamics, well design and placement, contaminant transport, groundwater–surface-water interactions, and regional water modeling. The top elevation of glacial till and the thickness of the Big Sioux aquifer varied among the three survey areas. The interpreted top elevation of glacial till in the North survey area decreases from east to west toward a slough, with elevations ranging from 1,403 to 1,418 feet (ft). The estimated thickness of the Big Sioux aquifer in the North survey area increased from east to west, with thicknesses ranging from 23 to 38 ft. The top elevation of glacial till in the Well 72 survey area generally decreases from northwest to southeast. Top elevations of the glacial till in the Well 72 survey area ranged from 1,400 to 1,409 ft along the southern end of transect W72_2. The estimated thickness of the Big Sioux aquifer in the Well 72 survey area was greatest along a southeast to northwest trending channel, with thicknesses ranging from 28 to 40 ft. The top elevation of glacial till in the Nose survey area generally decreases west toward the Big Sioux River. Top elevations of the glacial till in the Nose survey area ranged from 1,362 to 1,395 ft. The estimated thickness of the Big Sioux aquifer in the Nose survey area ranged from 33 to 70 ft.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265023","collaboration":"Prepared in cooperation with City of Sioux Falls, South Dakota","usgsCitation":"Medler, C.J., and Anderson, T.M., 2026, Top elevation of glacial till and thickness of the Big Sioux aquifer delineated from electrical resistivity tomography surveys near Sioux Falls, South Dakota, 2022 and 2025: U.S. Geological Survey Scientific Investigations Report 2026–5023, 29 p., https://doi.org/10.3133/sir20265023.","productDescription":"Report: vi, 29 p.; Data Release","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-183750","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504431,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119412.htm","linkFileType":{"id":5,"text":"html"}},{"id":504116,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5023 XML"},{"id":504120,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P18XCLZT","text":"USGS data release","linkHelpText":"Electrical resistivity tomography (ERT) data collected March 14–18 and November 17–21 north of Sioux Falls, South Dakota"},{"id":504119,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5023/images"},{"id":504115,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265023/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5023 HTML"},{"id":504113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.pdf","text":"Report","size":"18.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5023"},{"id":504112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5023/coverthb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Big Sioux Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.783333,\n 43.58\n ],\n [\n -96.683333,\n 43.58\n ],\n [\n -96.683333,\n 43.666667\n ],\n [\n -96.783333,\n 43.666667\n ],\n [\n -96.783333,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
We investigate changes in cool-season and winter daily minimum (Tmin) and maximum (Tmax) temperatures, and the occurrence of freeze days, from 1952 to 2024 across the conterminous United States (CONUS). Emphasis is placed on the tropical-temperate transition zone (TTTz) in the southeastern CONUS. During winter, ~70% of the land area exhibited Tmin warming rates exceeding those of Tmax. The countywide coldest Tmin became milder across 57% of the CONUS, while the coldest Tmax showed little change and even cooled east of the Rocky Mountains in the central CONUS. Across the TTTz, 75% of freeze days occur within a ~25–100-day window, often fewer than 75 days in the southernmost areas. Approximately 80% of counties exhibited significant contractions in freeze-day concentration, with the largest and most spatially consistent changes occurring in the Southeast, primarily driven by later start dates. Roughly 85% of the CONUS experienced a significant decline in freeze days, with the largest relative declines in regions where average winter Tmin is above freezing, while parts of the Pacific Northwest showed no significant change. An analysis of freeze day isopleths (30, 45, 60 and 75 days) across 20-year periods showed that the mean latitude of freeze days has migrated poleward substantially. Between 101° W and 79° W in the TTTz, the 30 freeze-day isopleth for the late period (2005–2024) was, on average, 122 km (~1.1° latitude) farther north than in the early period (1952–1971). Generally, the largest latitudinal shifts and percentage losses in freeze days occurred across low-elevation, low-relief regions at lower latitudes (e.g., the Mississippi River Valley), with abrupt shifts occurring near topographic gradients. Regions with sharp elevational gradients (e.g., Balcones Escarpment, Ouachita Mountains and Tennessee Valley) exhibited smaller temporal changes, likely reflecting the barrier-like influence of higher terrain on the poleward retreat of freeze days.
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Recognizing the role of bank-dwelling beavers expands our understanding of biotic drivers of riverscape complexity and provides new opportunities to integrate ecology with fluvial geomorphology in managing and restoring dynamic river corridors.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.70396","usgsCitation":"Pennock, C.A., Macfarlane, W.W., Budy, P., Scamardo, J., and White, D.C., 2026, Bank-dwelling beavers contribute to the wood regime in a dryland river: Ecology, v. 107, no. 5, e70396, 4 p., https://doi.org/10.1002/ecy.70396.","productDescription":"e70396, 4 p.","ipdsId":"IP-181956","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.70396","text":"Publisher Index Page"},{"id":505237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"eastern Utah, White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.1937831,\n 40.5473335\n ],\n [\n -110.1937831,\n 40.5473335\n ],\n [\n -110.1937831,\n 40.5473335\n ],\n [\n -110.1937831,\n 40.5473335\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.01797237006852,\n 40.53009343582272\n ],\n [\n -109.18996035918502,\n 40.53009343582272\n ],\n [\n -109.18996035918502,\n 39.923899931201504\n ],\n [\n -110.01797237006852,\n 39.923899931201504\n ],\n [\n -110.01797237006852,\n 40.53009343582272\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":371986,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey","middleInitial":"A.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":962640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macfarlane, William W.","contributorId":371987,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":962641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scamardo, Julianne","contributorId":352464,"corporation":false,"usgs":false,"family":"Scamardo","given":"Julianne","affiliations":[{"id":37627,"text":"Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":962643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Daniel C.","contributorId":371994,"corporation":false,"usgs":false,"family":"White","given":"Daniel","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275797,"text":"70275797 - 2026 - Water scarcity and infrastructure risk of amplified seasonal sediment transport","interactions":[],"lastModifiedDate":"2026-05-19T14:28:32.16682","indexId":"70275797","displayToPublicDate":"2026-05-06T09:22:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5791,"text":"Nature Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Water scarcity and infrastructure risk of amplified seasonal sediment transport","docAbstract":"Climate warming and deglaciation are reshaping hydrological seasonality in cold–dry regions, threatening the long-term sustainability of agriculture, ecosystems and local communities. However, existing evidence is limited to runoff seasonality. Changing sediment-transport seasonality, a more sensitive component, is emerging as a substantial yet under-recognized threat to water infrastructure. Leveraging monthly observations from the upper Tarim River from the 1960s to 2000s, we show that a warmer and wetter climate has intensified sediment-transport seasonality, with a 43% increase in summer sediment fluxes. Over half of this amplification stems from more frequent extreme sediment transport, particularly events triggered by high sediment supply rather than high discharge. Supported by a state-of-the-art river change dataset, we show that enhanced sediment seasonality and extreme sediment transport have largely contributed to increased river mobility since 2000. Sediment-driven changes are pushing riverine processes towards greater unpredictability and pose growing threats to water infrastructure and water security in vulnerable cold–dry regions.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-026-01829-4","usgsCitation":"Zhang, T., Best, J.L., East, A.E., Rosa, L., Wu, Q., Li, Y., Qi, Y., Li, Y., and Li, D., 2026, Water scarcity and infrastructure risk of amplified seasonal sediment transport: Nature Sustainability, https://doi.org/10.1038/s41893-026-01829-4.","ipdsId":"IP-181090","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ting","contributorId":331672,"corporation":false,"usgs":false,"family":"Zhang","given":"Ting","affiliations":[],"preferred":false,"id":961783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":961784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":961786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Qianhan","contributorId":371409,"corporation":false,"usgs":false,"family":"Wu","given":"Qianhan","affiliations":[{"id":88135,"text":"School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":961787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Yiyi","contributorId":371410,"corporation":false,"usgs":false,"family":"Li","given":"Yiyi","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qi, Yu","contributorId":371412,"corporation":false,"usgs":false,"family":"Qi","given":"Yu","affiliations":[],"preferred":false,"id":961791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Yunkai","contributorId":371411,"corporation":false,"usgs":false,"family":"Li","given":"Yunkai","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961789,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Dongfeng","contributorId":297068,"corporation":false,"usgs":false,"family":"Li","given":"Dongfeng","email":"","affiliations":[{"id":64287,"text":"National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":961790,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275189,"text":"sir20265002 - 2026 - Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","interactions":[],"lastModifiedDate":"2026-05-11T16:59:37.032231","indexId":"sir20265002","displayToPublicDate":"2026-05-04T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5002","displayTitle":"Analysis of Alternative Weir Designs for Improved Passage of Select Fish at the U.S. Geological Survey Streamgaging Weir at Blackwells Mills, New Jersey","title":"Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","docAbstract":"As the population of New Jersey continues to remain dense, the need for water supply will likely continue to be high, which can lead to water managers needing to make difficult decisions about managing drinking-water supply. Streamgaging weirs like the ones used by the U.S. Geological Survey (USGS) play a critical role in providing accurate and stable streamflow data, but their presence can affect the passage of diadromous fish species such as river herring (Alosa pseudoharengus [alewife], Alosa aestivalis [blueback herring], and Alosa sapidissima [American shad]). In some situations, weirs existing in rivers and streams are no longer used because they were part of a farm irrigation system or some type of industrial operation. The weir at the USGS streamgage 01402000 Millstone River at Blackwells Mills, New Jersey, was purposefully built as a hydraulic-control structure that provides a precise and stable control for the measurement of stage and computation of continuous streamflow. To satisfy the dual need of maintaining accurate streamflow data and providing improved fish passage for select species of fish during migration season, the USGS proposed the development and evaluation of two alternative weir designs that would meet the criteria established for successful passage of American shad, alewife, and blueback herring during their yearly migration. The designs were also required to maintain adequate control of the upstream pool elevation necessary for the precise computation of streamflow used by State agencies for municipal water-supply purposes for surrounding communities.
Two alternative weir design modifications were incorporated at the center of the Blackwells Mills weir and modeled using two-dimensional hydraulic modeling software and three-dimensional computational fluid-dynamics software to simultaneously evaluate conditions for passage of the target fish species and effects to streamflow computations at the streamgage. The models were calibrated to existing conditions around the weir location using surveyed-elevation data and recorded stage, streamflow, and velocity in the Millstone River. The alternative weir designs lowered the weir crest by 1.02 feet (ft) and the resulting simulations showed an effective increase in depth of 0.98 ft at the median streamflow of 251 cubic feet per second (ft3/s) and 0.96 ft at the 95-percent exceedance streamflow of 98 ft3/s. The alternative weir designs were also found to increase streamflow depth across the shallowest portions of the weir structure at the downstream anti-scour skirt by lowering the skirt about 4 inches, allowing for two or more body depths of water for American shad, alewife, and blueback herring at the median migration streamflow of 251 ft3/s. The alternative weir designs also reduced the highest stream velocities across the downstream weir sill and anti-scour skirt from about 9 to 10 feet per second, and the depth-averaged velocity to about 7 to 8 feet per second. The sensitivity of the weir with respect to the computation of streamflow was increased from about 1.8 cubic feet per second per hundredth foot to 1.6 cubic feet per second per hundredth foot for streamflows of about 10–100 cubic feet per second.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265002","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., and Mulligan, K.B., 2026, Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2026–5002, 31 p., https://doi.org/10.3133/sir20265002.","productDescription":"Report: ix, 31 p.; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179030","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119406.htm","linkFileType":{"id":5,"text":"html"}},{"id":503276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5002/coverthb.jpg"},{"id":503277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.pdf","text":"Report","size":"56.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5002 PDF"},{"id":503278,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265002/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5002 HTML"},{"id":503279,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.XML","text":"SIR 2026-5002 XML","description":"SIR 2026-5002 XML"},{"id":503280,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5002/images"},{"id":503281,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14T93HI","text":"USGS data release","linkHelpText":"HEC-RAS and FLOW 3-D HYDRO models used to evaluate alternative weir designs for the Millstone River at Blackwells Mills, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Blackwells Mills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.57920795080669,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47768788237764\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
New bedrock and surficial geologic mapping in the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, investigates the geologic framework and causative mechanisms of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina. The mapping documents (1) the coseismic surface rupture from the 2020 earthquake and related brittle structures in the bedrock; (2) the fault contact between the western Blue Ridge and eastern Blue Ridge; (3) lithostratigraphy in the Lynchburg Group, Ashe Metamorphic Suite, and Alligator Back Metamorphic Suite; (4) the nature of the contact between the Lynchburg Group, Ashe Metamorphic Suite, and Alligator Back Metamorphic Suite; and (5) surficial deposits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261010","collaboration":"Prepared in cooperation with the North Carolina Geological Survey, the University of North Carolina at Chapel Hill, and North Carolina State University","usgsCitation":"Merschat, A.J., Carter, M.W., Lynn, A.S., Weinmann, B.R., Odom, W.E., McAleer, R.J., Mahan, S.A., Stewart, K.G., Holm-Denoma, C.S., and Crider, E.A., Jr., 2026, Preliminary geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina: U.S. Geological Survey Open-File Report 2026–1010, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20261010.","productDescription":"Report: 1 p.; 2 Data Releases","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158347","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":503989,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119391.htm","linkFileType":{"id":5,"text":"html"}},{"id":502870,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DCJMR0","text":"USGS data release","linkHelpText":"Database for the preliminary geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina"},{"id":502869,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XJCPS","text":"USGS data release","linkHelpText":"Luminescence and radiocarbon data for—Geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake in Sparta, NC"},{"id":502867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1010/coverthb2.jpg"},{"id":502868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1010/ofr20261010.pdf","text":"Report","size":"42.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1010 PDF"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.25,\n 36.625\n ],\n [\n -81,\n 36.625\n ],\n [\n -81,\n 36.4689\n ],\n [\n -81.25,\n 36.4689\n ],\n [\n -81.25,\n 36.625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Florence Bascom Geoscience Center
U.S. Geological Survey
Mail Stop 926A
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey and cooperators mapped the bedrock and surficial geology of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles in North Carolina and Virginia to provide a detailed geologic framework of the August 9, 2020, magnitude 5.1 earthquake near Sparta, North Carolina. The earthquake produced the first documented faulting that ruptured the surface in the eastern United States. The area is underlain by Precambrian (>541 million years old) igneous and metamorphic rocks in the north and strongly layered metamorphic rocks in the south, separated by a large Paleozoic fault zone (approximately 340 million years old). The regional geologic structural trends (the orientation of faults and rock formations) are aligned northeast to southwest. The surface rupture (Little River fault) from the 2020 earthquake, is mapped for 4 kilometers (~2.5 miles) and cuts across the older geologic structures in the bedrock. Evidence of prior faulting is documented in the Bledsoe Creek valley, where terrace gravels indicate that fault movement occurred before 460,000 years ago.
","publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Merschat, Arthur J. 0000-0002-9314-4067","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":369967,"corporation":false,"usgs":false,"family":"Merschat","given":"Arthur","middleInitial":"J.","affiliations":[],"preferred":false,"id":959449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Mark W. 0000-0003-0460-7638","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":369968,"corporation":false,"usgs":false,"family":"Carter","given":"Mark","middleInitial":"W.","affiliations":[],"preferred":false,"id":959450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynn, Ashley S.","contributorId":369969,"corporation":false,"usgs":false,"family":"Lynn","given":"Ashley","middleInitial":"S.","affiliations":[{"id":87892,"text":"University of North Carolina at Chapel Hill; East Carolina University","active":true,"usgs":false}],"preferred":false,"id":959451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weinmann, Benjamin R. 0000-0002-8685-7093","orcid":"https://orcid.org/0000-0002-8685-7093","contributorId":298592,"corporation":false,"usgs":true,"family":"Weinmann","given":"Benjamin R.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":959452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odom, William E. 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":959453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":959454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":959455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, Kevin G.","contributorId":369970,"corporation":false,"usgs":false,"family":"Stewart","given":"Kevin","middleInitial":"G.","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":959456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":959457,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crider,, E. Allen Jr. 0000-0003-2393-5290 ecrider@usgs.gov","orcid":"https://orcid.org/0000-0003-2393-5290","contributorId":203507,"corporation":false,"usgs":true,"family":"Crider,","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":959458,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275674,"text":"70275674 - 2026 - Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions","interactions":[],"lastModifiedDate":"2026-05-08T14:24:23.473349","indexId":"70275674","displayToPublicDate":"2026-05-04T09:20:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions","docAbstract":"Prioritization is a central component of natural resource management because conservation needs routinely exceed available resources. Waterfowl and wetland conservation programs in North America are at the forefront of landscape-scale prioritization and transboundary management decisions due to the migratory nature of ducks, geese, and swans. The growing availability of geographic information systems (GIS) and geospatial technologies has accelerated the development of multi-objective landscape prioritization models, including applications of structured decision making and multi-criteria decision analysis to spatial planning for waterfowl and wetlands at the continental scale. However, regional managers and conservationists could benefit from flexibility in downscaling continental tools, selecting objectives, and assigning weights for rapid production of spatial prioritization models at smaller spatial scales without extensive computer coding or GIS analysis. We developed a spatial value model that prioritizes landscapes at sub-continental scales (e.g., states and provinces, bird conservation regions, etc.) and provides flexibility for users to select waterfowl conservation objectives of interest and weights. Our model can be used for direct downscaling of an existing continental geospatial model or further customized with region-specific geospatial data. We illustrate how regional prioritization can vary with the spatial scale selected by the user. The spatial value modeling framework and the downscaling tool presented here could increase the use of multi-criteria decision analysis and linear value modeling in spatial landscape prioritization, while also providing flexibility for selecting scales, objectives, and weights. Our spreadsheet tool was developed specifically for use by regional biologists, conservationists, and managers and does not require knowledge of GIS software (although results can be exported from the spreadsheet for spatial analysis using GIS). Together, the model outputs and the accompanying spreadsheet tool provide a bridge between continental waterfowl conservation and regional implementation, enabling rapid, stakeholder-driven, value-explicit prioritization.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70027","usgsCitation":"Couvillon, A., Soulliere, G., Gordon, D., Eggeman, D., Al-Saffar, M.A., Humburg, D.D., and Lyons, J., 2026, Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.70027.","ipdsId":"IP-168494","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70027","text":"Publisher Index Page"},{"id":504242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillon, Anastasia","contributorId":371246,"corporation":false,"usgs":false,"family":"Couvillon","given":"Anastasia","affiliations":[{"id":63963,"text":"University of Louisiana","active":true,"usgs":false}],"preferred":false,"id":961373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulliere, Gregory J.","contributorId":353609,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, David H.","contributorId":221670,"corporation":false,"usgs":false,"family":"Gordon","given":"David H.","affiliations":[],"preferred":false,"id":961375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggeman, Diane","contributorId":371247,"corporation":false,"usgs":false,"family":"Eggeman","given":"Diane","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":961376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Saffar, Mohammed A","contributorId":292215,"corporation":false,"usgs":false,"family":"Al-Saffar","given":"Mohammed","email":"","middleInitial":"A","affiliations":[{"id":62842,"text":"USWFS","active":true,"usgs":false}],"preferred":false,"id":961377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":961378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275757,"text":"70275757 - 2026 - Holocene barrier dynamics & management on the Eastern Shore of Virginia","interactions":[],"lastModifiedDate":"2026-05-18T15:32:21.456053","indexId":"70275757","displayToPublicDate":"2026-05-01T10:12:18","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Holocene barrier dynamics & management on the Eastern Shore of Virginia","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field trip guide","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Virginia Geological Field Conference 2025","conferenceDate":"March 20-22, 2026","language":"English","publisher":"William & Mary","usgsCitation":"Hein, C., Boggess, A., Cahoon, K., Ciarletta, D.J., Davis, E., Fenster, M., Georgiou, I., Harris, M., Hein, E., Kivimaki, K., McCormick, W., and Shawler, J., 2026, Holocene barrier dynamics & management on the Eastern Shore of Virginia, in Field trip guide, March 20-22, 2026, 44 p.","productDescription":"44 p.","ipdsId":"IP-186937","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504467,"rank":1,"type":{"id":15,"text":"Index 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Science","active":true,"usgs":false}],"preferred":false,"id":961667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kivimaki, Katherine","contributorId":371359,"corporation":false,"usgs":false,"family":"Kivimaki","given":"Katherine","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961668,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCormick, William","contributorId":371360,"corporation":false,"usgs":false,"family":"McCormick","given":"William","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961669,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shawler, Justin","contributorId":371361,"corporation":false,"usgs":false,"family":"Shawler","given":"Justin","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":961670,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70276315,"text":"70276315 - 2026 - Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","interactions":[],"lastModifiedDate":"2026-05-28T14:50:26.640902","indexId":"70276315","displayToPublicDate":"2026-05-01T09:42:53","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":24799,"text":"Data Series","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"6","title":"Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","docAbstract":"The Geochemical Geodatabase of Sedimentary Strata (Coal, Coal-adjacent Rocks, Tuffaceous Oil Shale, Phosphate-rich Rocks) and Produced Water in the Uinta Region, Utah and Colorado, consists of compiled datasets acquired as part of the Carbon Ore, Rare Earth, and Critical Mineral (CORE-CM) Uinta Region assessment funded by the U.S. Department of Energy (DEFE0032046, 2021–2024; Birgenheier et al., 2024). The CORE-CM assessment focused on providing comprehensive geological and geochemical characterization of current and prospective sedimentary-hosted resources including coal, oil shale, phosphatic limestone, and produced water from oil and gas targets present in eastern Utah and northwestern Colorado (Figure 1).
This Data Series includes a geodatabase that consists of analytical geochemical data collected September 2021 through December 2024 via portable X-ray fluorescence (pXRF), and laboratory measured analyses produced by inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectroscopy (ICP-OES). The coal-related geochemical data are derived primarily from the Cretaceous Blackhawk Formation and Ferron Sandstone of Utah, and the Mesaverde Group of Colorado. Additional non-coal resources assessed include oil shale-bearing strata of the Eocene upper Green River Formation (Utah and Colorado), phosphate-rich limestone of the Permian Park City Formation (Utah) and produced water from oil and gas-bearing strata of the Eocene Green River and Wasatch Formations (Uinta Basin) and the Pennsylvanian Paradox Formation (Paradox Basin) (Table 1). The CORE-CM assessment included a wide range of lithologies present in the coal, oil shale, and phosphate geologic resource systems whether or not the specific lithology has current economic value. Geochemical analyses of produced water from oil and gas wells focused on current and emerging hydrocarbon targets in the central Uinta Basin and northern Paradox Basin. A total of 13,092 geochemical analyses from these geologic systems is provided in the included geodatabase. A series of coal quality data (e.g., composition and maceral analyses) is also included in the database and was digitized from archived coal samples from the Utah Geological Survey (Appendix A).
","language":"English","publisher":"Utah Geological Survey","doi":"10.34191/DS-6","usgsCitation":"Gall, R.D., Birgenheier, L., Fausett, P., Coe, H., Morris, E., Fernandez, D.P., Wilcock, L., Vanden Berg, M., Masterson, A.L., Jubb, A., Birdwell, J.E., Ashurst-McGee, L., Bailey, N., Giebel, A., Herzberg, A., Chenault, J., and Hoskins, B., 2026, Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado: Data Series 6, 13 p., https://doi.org/10.34191/DS-6.","productDescription":"13 p.","ipdsId":"IP-183398","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Uinta region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 41\n ],\n [\n -113,\n 41\n ],\n [\n -113,\n 37.5\n ],\n [\n -107,\n 37.5\n ],\n [\n -107,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gall, Ryan D.","contributorId":296324,"corporation":false,"usgs":false,"family":"Gall","given":"Ryan","email":"","middleInitial":"D.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":962078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birgenheier, Lauren","contributorId":371588,"corporation":false,"usgs":false,"family":"Birgenheier","given":"Lauren","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":962079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fausett, Peyton","contributorId":371589,"corporation":false,"usgs":false,"family":"Fausett","given":"Peyton","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":962080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Haley","contributorId":371590,"corporation":false,"usgs":false,"family":"Coe","given":"Haley","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":962081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morris, Emma","contributorId":371591,"corporation":false,"usgs":false,"family":"Morris","given":"Emma","affiliations":[{"id":88188,"text":"University of North Carolina Wilmingon","active":true,"usgs":false}],"preferred":false,"id":962082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernandez, Diego P.","contributorId":138701,"corporation":false,"usgs":false,"family":"Fernandez","given":"Diego","email":"","middleInitial":"P.","affiliations":[{"id":12499,"text":"Univ. of Utah","active":true,"usgs":false}],"preferred":false,"id":962083,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcock, L.","contributorId":371592,"corporation":false,"usgs":false,"family":"Wilcock","given":"L.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":962084,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vanden Berg, Michael","contributorId":225089,"corporation":false,"usgs":false,"family":"Vanden Berg","given":"Michael","affiliations":[{"id":17626,"text":"Utah Geological 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Utah","active":true,"usgs":false}],"preferred":false,"id":962088,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Giebel, Andrew","contributorId":371600,"corporation":false,"usgs":false,"family":"Giebel","given":"Andrew","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":962089,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Herzberg, Amanda Sha 0000-0003-0343-9425","orcid":"https://orcid.org/0000-0003-0343-9425","contributorId":333089,"corporation":false,"usgs":true,"family":"Herzberg","given":"Amanda Sha","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":962090,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962091,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hoskins, Brittney","contributorId":371601,"corporation":false,"usgs":false,"family":"Hoskins","given":"Brittney","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":962092,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70275078,"text":"sir20265129 - 2026 - Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York","interactions":[],"lastModifiedDate":"2026-05-01T16:42:15.609499","indexId":"sir20265129","displayToPublicDate":"2026-04-29T09:32:47","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5129","displayTitle":"Shallow Hydrogeologic Framework of the Tully Valley Mudboil Area, Onondaga County, New York","title":"Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York","docAbstract":"Mudboils have been documented in the Tully Valley in southern Onondaga County, New York, since the late 1890s. Sediment-laden water from the mudboils flows into Onondaga Creek, which empties into Onondaga Lake at Syracuse 15 miles to the north. Turbidity from the mudboils has degraded the water quality of Onondaga Creek despite a series of mitigation efforts that began in the early 1990s. Turbidity mitigation actions presently (2025) being considered include creek relocation and offline sediment settling. In support of these proposed actions during 2021–23, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board, collected and analyzed geologic, hydrologic, geophysical, and geotechnical data to characterize the shallow hydrogeology along four proposed creek-relocation paths and in the proposed offline settling basin area.
The investigation indicated that the four proposed creek-relocation paths, two east of Onondaga Creek and two west of Onondaga Creek, are underlain by sediments including muck, alluvium, mudboil deposits, alluvial-fan sand and gravel, and lacustrine fines. The proposed excavations would penetrate partially to fully saturated conditions: generally, the water table is shallow near the creek and deep on the alluvial fans. The shallowest excavation, about 5 feet below land surface, would be near the creek and primarily in alluvium, and the deepest excavation, as much as 30 feet below land surface, would be in the alluvial-fan deposits. Brackish waters would be penetrated by proposed channel excavations on the eastern side of Onondaga Creek in an area downgradient from a potentially leaking historical salt-exploration borehole and near the main mudboil area. Excavation in these areas likely would provide a continuous source of brackish groundwater to the relocated creek. Proposed channel excavations of muck, soft to very soft lacustrine fines, and mudboil-type sediments in mudboil and suspected mudboil areas would pose an excavation and slope stability challenge and would have the greatest potential to create new mudboils. Proposed channel excavations below the water table on the Rattlesnake Gulf and Rainbow Creek alluvial fans would intercept groundwater and make the constructed streambank susceptible to seepage-induced slope instability. The substantial water-level fluctuation in the sediments of both alluvial fans would aggravate the stability condition. In addition, excavation on the Rattlesnake Gulf alluvial fan would have the potential to affect water-supply springs at the toe of the fan.
The proposed offline settling basin area is in the northern part of the Rattlesnake Gulf alluvial fan. Natural and man-made diversions of Rattlesnake Gulf have resulted in saturated conditions in the general area of the proposed basin. The proposed offline settling basin would be excavated in, and berms would be constructed on, alluvial-fan deposits and lacustrine fines. In the proposed basin area, the alluvial deposits overlying the lacustrine fines are less than 10 feet thick. Excavation, berm construction, and loading of the saturated, soft to very soft lacustrine fines may be problematic and require soil strengthening.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265129","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board","usgsCitation":"Williams, J.H., Terry, N.C., Kappel, W.M., Heisig, P.M., Glas, R.L., and Woda, J.C., 2026, Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2026–5129, 58 p., https://doi.org/10.3133/sir20265129.","productDescription":"Report: ix, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160204","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119386.htm","linkFileType":{"id":5,"text":"html"}},{"id":502792,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5129/images"},{"id":502793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149P35X","text":"USGS data release","linkHelpText":"Surface-geophysical, geotechnical, hydraulic-slug test, specific conductance, and geospatial data for shallow hydrogeologic investigations of the Tully Valley mudboil area, Onondaga County, New York"},{"id":502791,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.XML","description":"SIR 2026-5129 XML"},{"id":502790,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265129/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5129 HTML"},{"id":502789,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5129/coverthb2.jpg"},{"id":502786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5129 PDF"}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Tully Valley Mudboil Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.30484467796983,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 43.13842576064047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
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The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for estimating various statistics for natural streamflow in hydrologic regions of central and western Colorado. The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255047","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.","productDescription":"Report: viii, 38 p.; 2 Tables; Data Release","onlineOnly":"Y","ipdsId":"IP-140049","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":503285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5047"},{"id":504484,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5047"},{"id":504422,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.xml"},{"id":504421,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5047/images"},{"id":503897,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119385.htm","linkFileType":{"id":5,"text":"html"}},{"id":503290,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.2.csv","text":"Table 1.2","size":"16.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 2","linkHelpText":"Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019"},{"id":503284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5047/coverthb.jpg"},{"id":503289,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.1.csv","text":"Table 1.1","size":"72.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 1","linkHelpText":"Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019"},{"id":503286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5AMFV","text":"USGS data release","linkHelpText":"Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019"}],"country":"United States","state":"Colorado","otherGeospatial":"central and western Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5157587,\n 37.0336449\n ],\n [\n -104.2371905,\n 37.7437419\n ],\n [\n -104.4345097,\n 38.3014981\n ],\n [\n -104.9220039,\n 39.2695668\n ],\n [\n -104.5737937,\n 39.5207192\n ],\n [\n -104.8523603,\n 41.026094\n ],\n [\n -109.0540968,\n 40.9910589\n ],\n [\n -109.0557679,\n 37.0087015\n ],\n [\n -104.5157587,\n 37.0336449\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
Illinois contributes substantial nutrient loads to the Gulf of America, warranting watershed-scale assessment. This study estimated nitrate-nitrogen (nitrate-N) and total phosphorus (TP) loads and yields for 49 Illinois 8-digit hydrologic unit code (HUC8) watersheds draining to the Mississippi River Basin from 1997–2022, comparing recent (2018–2022) to baseline (1997–2011) conditions. Estimates included point and nonpoint source contributions, dissolved phosphorus, and water yields. During the recent period, nonpoint sources dominated nutrient export (82% nitrate-N, 78% TP), though point sources drove high yields in the Chicago area. Spatially, nonpoint source nutrient hotspots persisted with nitrate-N yields highest in east-central and northern Illinois and TP yields higher in southern and western Illinois. Temporally, statewide nitrate-N loads decreased 9%, while TP loads increased 27%. Nitrate-N yields increased in 22 HUC8s and decreased in 20, while TP yields increased in 32 HUC8s and decreased in 9. For both nutrients, baseline yields were negatively correlated with yield changes, indicating high-yielding watersheds tended toward larger decreases or smaller increases. Water yields increased 19% on average but were weakly correlated with nutrient yield changes (r = 0.23 and 0.20 for nitrate-N and TP). These results reveal spatially persistent yet temporally divergent nutrient export across Illinois, with contrasting nitrate-N and TP trajectories for nonpoint sources.
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