In unconventional petroleum reservoirs hydrocarbon fluids are hosted by both mineral and organic matter pores. These pores can have diameters that range from microns to less than a single nanometer and, for unconventional reservoirs, there is evidence that small pores ( <20 nm diameter) may constitute a large proportion of the available space. Understanding subsurface volumes and how fluids behave in them can be helpful for predicting hydrocarbon production and storage in the subsurface. One area with knowledge gaps regarding hydrocarbon behavior in small pores is the possibility for mixtures to fractionate (i.e., unmix) based on pore size or pore type. Mixture fractionation as a function of pore size could impact recovery of hydrocarbons, drive compositional shifts during production, and limit fluid storage within candidate reservoirs. To investigate natural gas fractionation in small geologic pores, we applied total neutron scattering to probe methane-ethane mixtures at reservoir pressures (up to ≈30 MPa) and temperature (60°C) within a sample from the Upper Cretaceous Niobrara Formation. Neutron scattering data reveal only minor fractionation occurs between methane and ethane in 20-nm diameter sample mesopores. Increased fractionation is observed for sample micropores, with up to 72% (±1% at 1-sigma) methane found in 2 nm diameter pores following injection of a 50%-50% methane-ethane mixture. These data provide rarely available direct experimental observations of hydrocarbon mixture behavior under nanoconfinement in a sample from an important unconventional petroleum reservoir. Our results are discussed in the context of evaluating hydrocarbon resources in unconventional reservoir meso- and micropores, reconciling observed gas composition changes during production, and more broadly, understanding subsurface pore volumes within an energy storage framework.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2026.140015","usgsCitation":"Jubb, A., Birdwell, J.E., Ruppert, L., Stokes, M., Wiens, A.M., Headen, T., and Youngs, T.G., 2027, Neutron scattering reveals fractionation of natural gas mixtures in unconventional petroleum reservoir pores: Perspectives on energy resource recovery and storage: Fuel, v. 427, no. Part E, 140015, 9 p., https://doi.org/10.1016/j.fuel.2026.140015.","productDescription":"140015, 9 p.","ipdsId":"IP-178718","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":505040,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fuel.2026.140015","text":"Publisher Index Page"},{"id":504908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"427","issue":"Part E","noUsgsAuthors":false,"publicationDate":"2026-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":962161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":242600,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":962163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Headen, Thomas","contributorId":239572,"corporation":false,"usgs":false,"family":"Headen","given":"Thomas","affiliations":[],"preferred":false,"id":962165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Youngs, Tristan G. 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The activities are conducted in cooperation with the U.S. Department of Energy’s (DOE) Idaho Operations Office. Results of water-quality and hydraulic head research efforts are presented in various USGS and scientific journal publications (refer to Fisher, 2022). These data are stored internally in the Aquarius Time Series and Aquarius Samples databases and are publicly accessible through National Water Quality Monitoring Council (2025) and U.S. Geological Survey (2025). Data collected from our studies are used by researchers, Federal and State agencies, water management and regulatory organizations, as well as the public.
This quality assurance plan (QAP) describes the methods and processes for field methods, data collection, data management, data auditing, and equipment management for both the water-quality and water- level programs at the USGS INL Project Office (hereto referred to as INL Project Office). A comprehensive quality assurance (QA) plan ensures that the processes defined in this document will guide the program staff to collect and publish reliable, useful, and defensible data products for stakeholders. This QAP supersedes previous versions of this document and is intended to complement the Quality Assurance and Data Management (QADM) Plan for the Idaho Water Science Center (IDWSC; Christopher Mebane and Lauren Zinsser, written commun., 2024).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20261008","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Treinen, K.C., Trcka, A.R., Zingre, J.A., and Wehnke, A.J., 2026, Field methods, quality- assurance, and data management plan for water- quality activities and water- level measurements, Idaho National Laboratory, Idaho: U.S. Geological Survey Open- File Report 2026–1008, 51 p., https://doi.org/10.3133/ofr20261008.","productDescription":"viii, 51 p.","onlineOnly":"Y","ipdsId":"IP-172087","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":505579,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1008"},{"id":505310,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1008/ofr20261008.xml"},{"id":505309,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1008/images"},{"id":505301,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1008/ofr20261008.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1008"},{"id":505300,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1008/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, ID 83702-4520
As part of the U.S. Geological Survey’s (USGS) mission to distribute global mineral information and analyze supply chains, this study provides a comprehensive review of the global significance of China’s mineral production and capacity in 2023. Of 77 mineral commodities in the USGS dataset, China produced 74 and was the world’s first- ranked producer for 39 of the 74. Compared to the high share of global mineral production, including up to 98 percent of global gallium production, the country’s share of global mineral reserves was relatively small, ranging from 20 percent (zinc ore) to 52 percent (tungsten ore). China’s imports of metal ores, slag, and ash accounted for 64 percent of global imports of such commodities by value. The country’s exports of base metals and articles of base metal accounted for 17 percent of the global exports. To help nongeographic information system users assess the spatial distribution of mineral mines, processing facilities, and ports for trades in China, this study created a geospatial (also called “georeferenced”) portable document format (GeoPDF) map. In addition, the GeoPDF contains mineral resource tracts (such as antimony, copper, potash, coal, and oil and gas), exploration sites, and energy infrastructure based on the preexisting USGS data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261018","programNote":"Mineral Resources Program","usgsCitation":"Chung, J., Neustaedter, E.R., Moon, J.W., Xun, S., and Textoris, S.D., 2026, Production of mineral commodities and geospatial map of the mineral industries and related infrastructure of China: U.S. Geological Survey Open-File Report 2026–1018, 1 map sheet, scale 1:17,500,000, 19-p. pamphlet, https://doi.org/10.3133/ofr20261018.","productDescription":"Report: v, 19 p.; 1 Sheet: 18 x 12 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-169279","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":504753,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1018/coverthb.jpg"},{"id":504758,"rank":6,"type":{"id":34,"text":"Image 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National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
","tableOfContents":"A network of ten buckets was established early in the 2008–2018 summit eruption at Kīlauea to collect proximal tephra ejected from the new, informally named the “Overlook crater”; the buckets were emptied on most days of the eruption thereafter. This report summarizes the results of more than 2,400 different sampling intervals (most 1–3 days long) during the eruption, focusing on the physical and dispersal characteristics of the tephra deposits. The network was within about 300 meters south of the vent to capture tephra dispersed by the dominant northeast trade wind. The juvenile tephra mainly reflected spattering at the southeast (SE) sink, a downwelling area in the southeastern part of the lava lake in the Overlook crater that remained in the same area throughout the eruption, with admixtures of solid rock and secondary minerals derived from the wall of the crater. The proportion of juvenile material to lithic material ranged widely early in the eruption but was generally greater than 90 percent for the last 6 years of the eruption as lake level rose and the crater walls decreased in height and became more stable. The accumulation rate of tephra at each bucket was strongly dependent on the location of the bucket and reflects the interplay between lava lake level and wind direction and speed. The mass per unit area (m/a) of collected tephra was a maximum of about 97 kilograms per square meter for the entire eruption, equivalent to a thickness of about 75 millimeters. Thirty-two explosive events with a volcanic explosivity index of −2 to −4 deposited much of the tephra in the network. Fifteen of these rock-fall-induced events occurred within 6 days of one another. Pele’s hair, a volcanic glass predominantly associated with quieter activity at the vent in the final half of the eruption, was dispersed more than 60 kilometers downwind from the lava lake and formed a nearly continuous deposit near the Overlook crater. This eruption was probably the most frequently sampled long-lasting eruption in history, but most of the deposits are ephemeral. The collected samples, although generally of small mass, are retained by the Hawaiian Volcano Observatory and are available for detailed study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867D","usgsCitation":"Swanson, D., Orr, T., Patrick, M., and Houghton, B., 2026, Tephra from Kīlauea’s 2008–2018 lava lake eruption—Proximal deposits and dispersal characteristics, chap. D of Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 Summit Lava Lake at Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Professional Paper 1867, 17 p., https://doi.org/10.3133/pp1867D.","productDescription":"Report: v, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-178290","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":505556,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1867/d/pp1867D.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1867-D XML"},{"id":505557,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1867/d/images"},{"id":505558,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P144UD4G","text":"USGS data release","description":"Swanson, D.A., Orr, T.R., Patrick, M.R., and Houghton, B.F., 2026, Tephra accumulation and wind data for Kīlauea’s 2008–2018 lava lake eruption: U.S. Geological Survey data release, https://doi.org/10.5066/P144UD4G.","linkHelpText":"Tephra accumulation and wind data for Kīlauea’s 2008–2018 lava lake eruption"},{"id":505553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/d/coverthb.jpg"},{"id":505554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/d/pp1867D.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1867-D PDF"},{"id":505555,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1867D/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1867-D HTML"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.30080043954055,\n 19.441008306151602\n ],\n [\n -155.23217711397314,\n 19.441008306151602\n ],\n [\n -155.23217711397314,\n 19.378134279401294\n ],\n [\n -155.30080043954055,\n 19.378134279401294\n ],\n [\n -155.30080043954055,\n 19.441008306151602\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact HVO, Hawaiian Volcano Observatory
U.S. Geological Survey
1266 Kamehameha Avenue
Suite A-8
Hilo, HI 96720
The New River Gorge National Park and Preserve in West Virginia receives more than 1 million visitors each year, many of whom come to enjoy the New River, which is known for its whitewater recreation. However, most of the tributaries within the New River Gorge are impaired by fecal-coliform bacteria, which are at concentrations that may exceed recreational-contact standards, posing a potential health risk to the public and, therefore, creating a need to better understand the spatial and temporal distribution of fecal-coliform bacteria and to communicate this information to park visitors.
Concentrations of Escherichia coli, a species of fecal-coliform bacteria, were monitored in the New River and selected tributaries from October 2021 through September 2023, with emphasis placed on the primary recreational-contact season from May through October. Composite and cross-sectional water samples were taken from three U.S. Geological Survey (USGS) monitoring locations: the New River at Highway 41 at Prince, West Virginia (USGS 03184905), New River at Thurmond, West Virginia (USGS 03185400; hereafter, Thurmond), and New River at Fayette, West Virginia (USGS 03186000). Periodic longitudinal transects included water samples collected below seven major tributaries of the New River within the gorge. Water-quality parameters, including water temperature, pH, specific conductance, dissolved oxygen, and turbidity, were recorded with each E. coli water sample.
During the 2 years of sampling, E. coli concentrations in samples collected from the New River ranged from less than 1 to 1,100 most probable number (MPN) per 100 milliliters (MPN/100 mL). The recreational-contact standard, which is based on the U.S. Environmental Protection Agency 90th-percentile statistical threshold value for E. coli concentrations (320 MPN/100 mL), was exceeded in 11 of the 110 samples collected from the New River during this study. Water-quality parameter measurements and E. coli concentrations in collected samples were generally consistent among USGS monitoring locations throughout the New River Gorge; however, storm events created notable exceptions because they increased tributary streamflow and E. coli concentrations in samples, particularly at the New River below Piney Creek at McCreery, West Virginia (USGS 03185208), and New River Below Arbuckle Creek at Thurmond, West Virginia (USGS 03185440), monitoring locations. Escherichia coli concentrations of cross-sectional samples tended to be consistent across the New River, except for a few nearshore samples.
Sample E. coli concentrations and corresponding measurements of continuous water-quality parameters, streamflow, and precipitation data from Thurmond and the Piney Creek at Raleigh, West Virginia (USGS 03185000; tributary to the New River) monitoring locations were evaluated for use in a near-real-time E. coli surrogate model. The antecedent mean 24-hour turbidity at Thurmond was selected as the best variable for a simple linear regression surrogate model for the log10 E. coli concentration in the New River and had an adjusted coefficient of determination of 0.556 and a p-value of less than 0.001. The regression equation surrogate model suggests that the recreational-contact standard is exceeded when the antecedent mean 24-hour turbidity at Thurmond is 23.6 formazin nephelometric units or higher (with a 95-percent confidence interval of 19.4–30.7 formazin nephelometric units). Evaluated against a turbidity duration curve, this standard is exceeded 7.5 percent of the time at Thurmond. This surrogate model could help New River Gorge National Park and Preserve staff provide near-real-time information about E. coli concentrations and related recreational-contact risks to the public.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265025","programNote":"U.S. Geological Survey—National Park Service Water-Quality Partnership","usgsCitation":"Kearns, M.R., and Chambers, D.B., 2026, Estimation, distribution, and development of a surrogate model for Escherichia Coli in the New River, New River Gorge National Park and Preserve, West Virginia, 2021–23: U.S. Geological Survey Scientific Investigations Report 2026–5025, 32 p., https://doi.org/10.3133/sir20265025.","productDescription":"viii, 32 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-182032","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":505267,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5025/images/"},{"id":505266,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5025/sir20265025.XML","description":"SIR 2026-5025 XML"},{"id":505263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5025/coverthb.jpg"},{"id":505264,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5025/sir20265025.pdf","text":"Report","size":"5.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5025 PDF"},{"id":505265,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265025/full","description":"SIR 2026-5025 HTML"}],"country":"United States","state":"West Virginia","otherGeospatial":"New River, New River Gorge National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.24372686447863,\n 38.120746595184386\n ],\n [\n -80.79040508021905,\n 38.120746595184386\n ],\n [\n -80.79040508021905,\n 37.66345478418221\n ],\n [\n -81.24372686447863,\n 37.66345478418221\n ],\n [\n -81.24372686447863,\n 38.120746595184386\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
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Mantle rocks undergoing serpentinization can generate significant amounts of natural hydrogen, yet the rates and controlling processes remain poorly understood. Here, we constrain the possible hydrogen generation rates in two distinct mantle rock types, the fertile lherzolites of the Western Pyrenees and the depleted harzburgites of Northern California, to relatively low rates of ~0.1 to ~0.5 tonnes H₂ yr⁻¹ km⁻³ of reactive rock. When integrated over the full reactive volumes, this corresponds to total production rates of ~300 to ~600 tonnes H₂ yr⁻¹. By combining three-dimensional geophysical inversion with numerical modelling of fluid-rock processes, we show that hydrogen generation rates are mainly limited by H₂ saturation in the fluid and reaction kinetics. Under these constraints, hydrogen generation in mantle-derived serpentinization systems proceeds slowly, making rapid large-scale replenishment unlikely and suggesting that large, economically relevant accumulations, would require timescales of thousands to tens of thousands of years to develop.
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2026 - Development of projected depth-duration-frequency curves for precipitation in Florida, 2020–59 and 2050–89","interactions":[],"lastModifiedDate":"2026-06-11T17:46:24.118744","indexId":"sir20255111","displayToPublicDate":"2026-06-11T09:43:30","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":"2025-5111","displayTitle":"Development of Projected Depth-Duration-Frequency Curves for Precipitation in Florida, 2020–59 and 2050–89","title":"Development of projected depth-duration-frequency curves for precipitation in Florida, 2020–59 and 2050–89","docAbstract":"The planning, permitting, and design of stormwater-management projects require estimates of the depths of extreme precipitation for current and future events with specified durations and return periods. In this project, precipitation data from six downscaled climate datasets were used to determine changes in precipitation depth-duration-frequency curves from the period 1966–2005 to the periods 2020–59 and 2050–89. The downscaled climate datasets are from the Coupled Model Intercomparison Project Phases 5 and 6 and include (1) Coordinated Regional Downscaling Experiment (CORDEX), (2) Localized Constructed Analogs (LOCA), (3) Multivariate Adaptive Constructed Analogs (MACA), (4) Jupiter Intelligence Weather Research and Forecasting model (JupiterWRF), (5) LOCA version 2 (LOCA2), and (6) National Aeronautics and Space Administration Earth Exchange Global Daily Downscaled Projections (NEX-GDDP). Change factors—multiplicative changes in expected extreme precipitation magnitude from a historical to future period—were computed for grid cells containing National Oceanic and Atmospheric Administration Atlas 14 stations in Florida. Change factors for specific durations and return periods were developed to scale the National Oceanic and Atmospheric Administration Atlas 14 historical depth-duration-frequency values to the periods 2020–59 and 2050–89 on the basis of changes in extreme precipitation derived from six downscaled climate datasets.
Overall, a large variation in change factors across downscaled climate datasets was found, with change factors generally being greater than 1 and increasing with return period. In general, median change factors were found to range within 1.01–1.58 for 2020–59 and 1.01–1.63 for 2050–89, depending on the downscaled climate dataset, region, duration, and return period, indicating a projected overall increase in future extreme-precipitation events. When data from all datasets are considered together, median change factors range within 1.04–1.18 for the period 2020–59 and within 1.04–1.23 for the period 2050–89, depending on the region, duration, and return period. Spatial patterns in median change factors were found to vary by dataset.
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\"}}]}","contact":"Grass carp (Ctenopharyngodon idella) is an invasive herbivore observed in small numbers in the Laurentian Great Lakes since the 1980 s with records from all lakes except Lake Superior. Identification of diploid, age-1 + grass carp from the Sandusky River, a Lake Erie tributary, in 2012, prompted targeted efforts to evaluate the status of grass carp reproduction in the Lake Erie Basin. In 2014, researchers from the U.S. Geological Survey and University of Toledo began surveys to assess grass carp spawning in the Great Lakes, with the first fertilized eggs discovered in 2015 in the Sandusky River. Eight Great Lakes tributaries in the United States have been surveyed for evidence of grass carp spawning, identifying three confirmed spawning tributaries (Sandusky, Maumee, and Huron Rivers in Ohio). Initial work identified specific flow and temperature conditions that likely stimulate spawning. Egg and larval drift modeling estimated spawning locations based on egg development and flow characteristics, which helped removal crews locate and target spawning fish in the Sandusky River and later, the Maumee River. The research synthesized herein demonstrates the value of ichthyoplankton research to inform control of emerging invasive species and could inform management of other invasive carps with similar reproductive life histories, should they enter the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102815","usgsCitation":"Hilling, C.D., Brown, R.E., Embke, H., Flanigan, K.D., King, N.R., George, A.E., Hunter, R.D., Jackson, P.R., Mayer, C.M., Pritt, J.J., Qian, S.S., Richter, C.A., Roberts, J.J., and Kocovsky, P., 2026, On the importance of ichthyoplankton monitoring for invasive grass carp control in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 52, no. 3, 102815, 11 p., https://doi.org/10.1016/j.jglr.2026.102815.","productDescription":"102815, 11 p.","ipdsId":"IP-176645","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":505573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Great Lakes basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.27527621059633,\n 45.05898830827303\n ],\n [\n -79.26827871577467,\n 45.05898830827303\n ],\n [\n -79.26827871577467,\n 41.182340014145154\n ],\n [\n -85.27527621059633,\n 41.182340014145154\n ],\n [\n -85.27527621059633,\n 45.05898830827303\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Ryan E.","contributorId":372207,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","middleInitial":"E.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":962927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flanigan, Kristina D.","contributorId":372212,"corporation":false,"usgs":false,"family":"Flanigan","given":"Kristina","middleInitial":"D.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":962928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Nicole R.","contributorId":239495,"corporation":false,"usgs":false,"family":"King","given":"Nicole","email":"","middleInitial":"R.","affiliations":[{"id":47892,"text":"University of Toledo Lake Erie Center, 6200 Bay Shore Road, Oregon, OH","active":true,"usgs":false}],"preferred":false,"id":962929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Robert D. 0000-0002-6021-4479 rhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-6021-4479","contributorId":5749,"corporation":false,"usgs":true,"family":"Hunter","given":"Robert","email":"rhunter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962932,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mayer, Christine M.","contributorId":372216,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":962933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pritt, Jeremy J","contributorId":372220,"corporation":false,"usgs":false,"family":"Pritt","given":"Jeremy","middleInitial":"J","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962934,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Qian, Song S.","contributorId":372223,"corporation":false,"usgs":false,"family":"Qian","given":"Song","middleInitial":"S.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":962935,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962936,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962937,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962938,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70276645,"text":"70276645 - 2026 - Network-wide assessment of soil water content calibration and sensitivity to biomass proxies using cosmic-ray neutron sensing in the Roaring Fork Basin, Colorado","interactions":[],"lastModifiedDate":"2026-06-15T14:07:26.328106","indexId":"70276645","displayToPublicDate":"2026-06-11T08:56:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Network-wide assessment of soil water content calibration and sensitivity to biomass proxies using cosmic-ray neutron sensing in the Roaring Fork Basin, Colorado","docAbstract":"Soil water content (SWC) is a key state variable of the climate system but is often uncertain in water balance monitoring, especially in alpine environments. SWC measurements can be challenging in alpine environments due to the topography and rocky soils. In 2022, the US Geological Survey's Next Generation Water Observing System Program began research to evaluate water balance monitoring technologies, including cosmic-ray neutron sensors (CRNS). This work evaluated the uncertainty resulting from network-wide calibration of CRNS for SWC monitoring in an alpine watershed and investigated the stability of the calibration parameters across space and time, focusing on potential influence of biomass dynamics. Fifteen stations with moderated and unmoderated (bare) CRNS were deployed and made operational within the Roaring Fork Basin in west-central Colorado. The root mean squared error of the network-wide calibration using the moderated CRNS was 0.042 or 0.047 cm3 cm−3, depending on the calibration equation used. Relative SWC dynamics from CRNS were correlated with the in situ probes with a correlation coefficient of 0.91 or 0.87 (depending on calibration equation). We did not find significant relationships between the calibration parameters and stationary site-specific variables. However, the calibration parameters derived from in situ probe SWC dynamics varied over time and were correlated with biomass proxies of cumulative growing degree-day, cumulative growing season index, and bare neutron counts. Future use of the CRNS network can leverage the reliable relative SWC data from network-wide calibration for watershed modeling and continue to research sensitivity of bare neutron measurements to biomass dynamics.
","language":"English","publisher":"Wiley","doi":"10.1002/vzj2.70112","usgsCitation":"Becker, S., Davies, G.E., Franz, T.E., Lampard, T., and Caldwell, T., 2026, Network-wide assessment of soil water content calibration and sensitivity to biomass proxies using cosmic-ray neutron sensing in the Roaring Fork Basin, Colorado: Vadose Zone Journal, v. 25, no. 3, e70112, 26 p., https://doi.org/10.1002/vzj2.70112.","productDescription":"e70112, 26 p.","ipdsId":"IP-181385","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":505571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Roaring Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.5,\n 39.667\n ],\n [\n -106.5,\n 39.667\n ],\n [\n -106.5,\n 39\n ],\n [\n -107.5,\n 39\n ],\n [\n -107.5,\n 39.667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Becker, Sophia 0000-0003-3714-6698","orcid":"https://orcid.org/0000-0003-3714-6698","contributorId":372237,"corporation":false,"usgs":false,"family":"Becker","given":"Sophia","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":962950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davies, Gwendolyn Elizabeth 0000-0003-1538-8610","orcid":"https://orcid.org/0000-0003-1538-8610","contributorId":293203,"corporation":false,"usgs":true,"family":"Davies","given":"Gwendolyn","email":"","middleInitial":"Elizabeth","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franz, Trenton E.","contributorId":199412,"corporation":false,"usgs":false,"family":"Franz","given":"Trenton","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":962953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampard, Tyler Dunham 0009-0003-1823-7807","orcid":"https://orcid.org/0009-0003-1823-7807","contributorId":315492,"corporation":false,"usgs":true,"family":"Lampard","given":"Tyler Dunham","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962952,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":372238,"corporation":false,"usgs":false,"family":"Caldwell","given":"Todd","affiliations":[],"preferred":false,"id":962954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276510,"text":"fs20263013 - 2026 - Assessment of undiscovered continuous oil and gas resources in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, and Afghanistan, 2026","interactions":[],"lastModifiedDate":"2026-06-10T19:18:27.372428","indexId":"fs20263013","displayToPublicDate":"2026-06-10T11:55:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3013","displayTitle":"Assessment of Undiscovered Continuous Oil and Gas Resources in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, and Afghanistan, 2026","title":"Assessment of undiscovered continuous oil and gas resources in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, and Afghanistan, 2026","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean continuous resources of 519 million barrels of oil and 82.9 trillion cubic feet of gas in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, and Afghanistan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263013","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered continuous oil and gas resources in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, and Afghanistan, 2026: U.S. Geological Survey Fact Sheet 2026–3013, 4 p., https://doi.org/10.3133/fs20263013.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-186805","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":505323,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263013/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3013"},{"id":505276,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3013/images"},{"id":505151,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3013/fs20263013.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3013"},{"id":505150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3013/coverthb.jpg"},{"id":505152,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13SXVBJ","text":"USGS data release","description":"FS 2023-3013 Data Release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Amu Darya Basin Province Continuous Resources—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":505277,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3013/fs20263013.xml"}],"country":"Afghanistan, Turkmenistan, Uzbekistan","otherGeospatial":"Amu Darya Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 60,\n 40\n ],\n [\n 67,\n 40\n ],\n [\n 67,\n 35.9\n ],\n [\n 60,\n 35.9\n ],\n [\n 60,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Eutrophication has been regularly documented in the Grand Calumet River and Indiana Harbor Canal in northwest Indiana. The area has undergone various remediation efforts since the development of a Remedial Action Plan for the area in response to a 1987 amendment to the Great Lakes Water Quality Agreement of 1978 between the United States and Canada and the designation of the Grand Calumet River Area of Concern by the U.S. Environmental Protection Agency. To address concerns of eutrophication and its effects, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency and the Indiana Department of Environmental Management, collected data from the Grand Calumet River and Indiana Harbor Canal in 2021 and 2022 to document the effects of remediation and combined sewer overflow releases on water quality.
This study used continuous monitors to collect real time data for dissolved oxygen, water temperature, chlorophyll fluorescence, specific conductance, and pH. Discrete sample analysis included biological oxygen demand, chemical oxygen demand, nutrients, nitrogen and oxygen isotopes in nitrate, nitrogen isotopes in ammonia, hydrogen and oxygen isotopes in water, and identification of algal communities (cyanobacteria and eukaryotic algae) by metabarcoding.
Eutrophic conditions were found throughout the area. Isotopic results indicated the source of nitrate in samples was either from soil organic nitrogen or combined sewer overflows. Combined sewer overflows were shown to have considerable effects on the sites, and remediation status did not have a great effect. Algal community results identified several taxa capable of becoming nuisance species, including Microcystaceae (cyanobacteria) and Chrysophyceae, Cryptophyceae, and Bacillariophyceae (all eukaryotic algae). When sites with irregular flow patterns were excluded from datasets, minimum dissolved oxygen concentrations were often higher downstream from remediated sites than from unremediated sites. This study shows the potential for further and more targeted exploration into the unusual conditions found throughout the Grand Calumet River and Indiana Harbor Canal area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265130","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the Indiana Department of Environmental Management","usgsCitation":"Hammer-Lester, R., Dumond, A., Moore, M.T., Story, A., Shively, D., Byappanahalli, M.N., Aunins, A., and Lampe, D.C., 2026, Evaluation of a eutrophication Beneficial Use Impairment in the Grand Calumet River Area of Concern in northwest Indiana, 2021–22: U.S. Geological Survey Scientific Investigations Report 2026–5130, 57 p., https://doi.org/10.3133/sir20265130.","productDescription":"Report: ix, 57 p.; 3 Data Releases; Dataset","numberOfPages":"57","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150447","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":505188,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5130/sir20265130.pdf","text":"Report","size":"29.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5130 PDF"},{"id":505189,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5130/coverthb.jpg"},{"id":505195,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EE4N0L","text":"USGS data release","linkHelpText":"Eutrophication and plankton communities (cyanobacteria and eukaryotic algae) in the Grand Calumet River Area of Concern, Indiana, 2021"},{"id":505194,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93261E5","text":"USGS data release","linkHelpText":"Grand Calumet River Area of Concern metabarcoding data"},{"id":505193,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5130/images"},{"id":505190,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265130/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5130 HTML"},{"id":505192,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5130/sir20265130.XML","description":"SIR 2026-5130 XML"},{"id":505296,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119490.htm","linkFileType":{"id":5,"text":"html"}},{"id":505197,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS dataset","linkHelpText":"- USGS water data for the nation"},{"id":505196,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13R2DPD","text":"USGS data release","linkHelpText":"Nuisance algae—Planktonic communities in the Grand Calumet River Area of Concern, Indiana, 2021"}],"country":"United States","state":"Indiana","otherGeospatial":"Grand Calumet River Area of Concern","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.54027759823069,\n 41.70901483550435\n ],\n [\n -87.25,\n 41.70901483550435\n ],\n [\n -87.25,\n 41.577370442400564\n ],\n [\n -87.54027759823069,\n 41.577370442400564\n ],\n [\n -87.54027759823069,\n 41.70901483550435\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd
Indianapolis, IN 46278
The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, completed high-resolution multibeam bathymetric surveys to compute new elevation-area-capacity tables for Council Grove Lake and Marion Reservoir, Kansas, and Pine Creek Lake, Oklahoma. Elevation-area-capacity tables identify the relation between the water-surface elevation, surface area, and storage capacity of the lake. The surface areas and storage capacities of each lake were computed from bathymetric surfaces combining multibeam echo sounder data collected in 2024 and light detection and ranging point-cloud data collected in 2016 and 2018.
Wildland–urban interface fires (WUI fires) can pose a significant threat to water resources, including drinking water supplies, water treatment infrastructure, ecosystem function, and agricultural irrigation. Wildfires, especially WUI fires, are expected to increase in frequency and severity. Despite the need for effective mitigation and response strategies for wildfires, rapid research co-production to support decision-making for water incident response and water management is generally limited. This manuscript draws on five U.S. wildfire case studies to highlight how research co-production between scientists, water agencies, and managers supports more effective decision-making for water resilience and recovery. The case studies demonstrate the importance of rapid response activities, coordinating collaborative response, pre-wildfire preparation, and knowledge co-production among agencies, researchers, and managers in addressing the impacts of wildfires on water supply and quality. The lessons learned emphasize opportunities to pivot wildfire-water research and operations from reactive to proactive, focusing on mutually beneficial activities such as understanding watershed health, fostering collaboration, embracing new discoveries and tools, and enabling pre-wildfire research through table-top activities, workshops, pre-fire data collection and analysis, and appointing a central water response lead. These outcomes inform the development of a research-to-operations and operations-to-research (R2O2R) co-production framework and future opportunities to guide proactive response and management efforts before, during, and after wildfire.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2026.1741106","usgsCitation":"Newcomer, M.E., González-Pinzón, R., Siirila-Woodburn, E.R., Peña, J., Underwood, J.C., Webster, J.P., Whelton, A.J., Im, J., Paramasamy, D., Ulrich, C., Ajami, N., Meyer, R.S., Jagannathan, K., Xin, S., Oshun, M., Schram, T., Seymour, D., and Maples, S.R., 2026, Facilitating water resilience in wildfire affected communities: Lessons learned from rapid response research: Frontiers in Water, v. 8, 1741106, 25 p., https://doi.org/10.3389/frwa.2026.1741106.","productDescription":"1741106, 25 p.","ipdsId":"IP-183711","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":505551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Hawaii, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.405035,\n 42.0123939\n ],\n [\n -125.405035,\n 42.0123939\n ],\n [\n -125.405035,\n 42.0123939\n ],\n [\n -125.405035,\n 42.0123939\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.47312360767772,\n 42.15551359214214\n ],\n [\n -120.431147,\n 42.2116334\n ],\n [\n -120.4301835,\n 39.5502914\n ],\n [\n -114.6430922,\n 34.9602323\n ],\n [\n -113.95656360757398,\n 32.87142202820456\n ],\n [\n -118.4082877,\n 32.3678591\n ],\n [\n -123.2486327,\n 37.1965297\n ],\n [\n -125.47312360767772,\n 42.15551359214214\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05402047537429,\n 37.043613065612064\n ],\n [\n -103.23551873177526,\n 37.252888605100495\n ],\n [\n -103.1024357564866,\n 31.63714930979029\n ],\n [\n -108.53881401480682,\n 31.41911050925502\n ],\n [\n -109.05402047537429,\n 37.043613065612064\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.31041410169516,\n 22.520678473592227\n ],\n [\n -154.64151317037275,\n 23.224790473302093\n ],\n [\n -154.11811186013946,\n 18.59810293604035\n ],\n [\n -159.62122415605603,\n 17.811040489924977\n ],\n [\n -160.31041410169516,\n 22.520678473592227\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2026-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Newcomer, Michelle E. 0000-0001-5138-9026","orcid":"https://orcid.org/0000-0001-5138-9026","contributorId":359968,"corporation":false,"usgs":false,"family":"Newcomer","given":"Michelle","middleInitial":"E.","affiliations":[{"id":85952,"text":"Lawrence Berkley National Lab","active":true,"usgs":false}],"preferred":false,"id":962869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"González-Pinzón, Ricardo 0000-0001-9387-6885","orcid":"https://orcid.org/0000-0001-9387-6885","contributorId":372168,"corporation":false,"usgs":false,"family":"González-Pinzón","given":"Ricardo","affiliations":[{"id":88271,"text":"University of New Mexico, Albuquerque, New Mexico","active":true,"usgs":false}],"preferred":false,"id":962870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siirila-Woodburn, Erica R. 0000-0001-9406-124X","orcid":"https://orcid.org/0000-0001-9406-124X","contributorId":372169,"corporation":false,"usgs":false,"family":"Siirila-Woodburn","given":"Erica","middleInitial":"R.","affiliations":[{"id":68983,"text":"Lawrence Berkeley National Laboratory, Earth & Environmental Sciences Area","active":true,"usgs":false}],"preferred":false,"id":962871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peña, Jasquelin 0000-0001-7081-3873","orcid":"https://orcid.org/0000-0001-7081-3873","contributorId":372170,"corporation":false,"usgs":false,"family":"Peña","given":"Jasquelin","affiliations":[{"id":88274,"text":"University of California, Davis & Lawrence Berkeley National Laboratory, Earth & Environmental Sciences Area","active":true,"usgs":false}],"preferred":false,"id":962872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Underwood, Jennifer C. 0000-0002-2702-0410 jcunder@usgs.gov","orcid":"https://orcid.org/0000-0002-2702-0410","contributorId":294555,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer","email":"jcunder@usgs.gov","middleInitial":"C.","affiliations":[{"id":37464,"text":"WMA - 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Surveys were completed at five locations: one along the San Dieguito River (San Dieguito [SD]), which was last surveyed in 2016, and four along the upper San Luis Rey River, including three downstream from Lake Henshaw that have been surveyed annually since 2015 (Rey River Ranch [RRR], Cleveland National Forest [CNF], Vista Irrigation District [VID]), and one upstream at VID Lake Henshaw (VLH) that has been surveyed annually since 2018. There was a minimum of 57 territorial flycatchers (22 male, 35 female) and 3 transient flycatchers of unknown subspecies detected at 1 location (VLH). In total, 37 territories were established, containing 35 pairs (20 males and 35 females) and 2 male flycatchers of undetermined breeding status. Of the 35 pairs, 12 were monogamous pairings, and 23 were polygynous pairings consisting of 3 males each pairing with 2 different females [6 pairs], 3 males each pairing with 3 different females [9 pairs], and 2 males each pairing with 4 different females [8 pairs]).
No territorial flycatchers were detected downstream from Lake Henshaw or along the San Dieguito River. Brown-headed Cowbirds (Molothrus ater; cowbird) were detected at all five survey locations. No banded flycatchers were detected during surveys.
Flycatchers used only one habitat type at VLH, mixed willow riparian. All flycatcher locations were in habitat characterized as mixed willow riparian dominated by Goodding’s black willow (Salix gooddingii), and 93 percent were in habitat with greater than 95-percent native plant cover.
We monitored flycatcher nests at VLH to collect baseline data on nest success, productivity, and cowbird parasitism rate. There were 33 completed nests monitored in 26 territories; 10 were successful (30 percent). Of the 23 failed nests, 14 were depredated, 5 failed for unknown reasons, and 4 failed because of cowbird parasitism. There were 33 fledglings confirmed in monitored territories, yielding a seasonal productivity of 1.3 young/pair (33 young/26 monitored pairs). One additional fledgling was confirmed in an unmonitored territory during surveys at VLH. Based on 31 nests in which the contents were observed during the egg stage, 23 percent of nests in 2025 were parasitized. In two additional territories where nests were not located, adult flycatchers were observed feeding a cowbird fledgling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1225","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2026, Distribution, abundance, and breeding activities of Southwestern Willow Flycatchers (Empidonax traillii extimus) on the San Dieguito River and upper San Luis Rey River, San Diego County,\nCalifornia—2025 data summary: U.S. Geological Survey Data Report 1225, 14 p., https://doi.org/10.3133/dr1225.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184457","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":505191,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96VC5Y4","text":"USGS data release","linkHelpText":"Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys and Nest Monitoring in San Diego County, California (ver. 5.0, December 2025)"},{"id":505115,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1225/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1225 HTML"},{"id":505117,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1225/images"},{"id":505116,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1225/dr1225.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1225 XML"},{"id":505114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1225/dr1225.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1225 PDF"},{"id":505113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1225/coverthb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"San Dieguito River, Upper San Luis Rey River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.667,\n 33.33\n ],\n [\n -117.0833,\n 33.33\n ],\n [\n -117.0833,\n 33\n ],\n [\n -116.667,\n 33\n ],\n [\n -116.667,\n 33.33\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819