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.
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U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
From 2022 through 2024, the U.S. Geological Survey (USGS) in cooperation with the Regional Resources Planning Group (Southeastern Colorado Water Conservancy District, Colorado Springs Utilities, Pueblo Water, Lower Arkansas Valley Water Conservancy District, Aurora Water, and Upper Arkansas Water Conservancy District) established a basinwide water-quality monitoring network in the Arkansas River Basin in Colorado. The study leveraged ongoing continuous measurements of streamflow and specific conductance (SC) at 13 sites along the main stem Arkansas River and Fountain Creek from the USGS 07108600 Arkansas River at Granite, Colo., (Ark Granite) site to the USGS 07137500 Arkansas River near Coolidge, Kansas, (Ark Coolidge) site. Baseline water-quality conditions were established using data from October 1989 through September 2022 to help identify changes in water quality that could result from changes in land and water use.
Total dissolved solids (TDS) concentration was the main indicator of general water quality in this study because it can be accurately estimated from SC and is sensitive to changes in streamflow, water operations, and source contributions. Median TDS concentrations in Arkansas River samples (October 1989 through December 2023) ranged from 75 milligrams per liter (mg/L) at Ark Granite near the headwaters to 3,660 mg/L at Ark Coolidge near the Colorado–Kansas State line. Distinct seasonal differences in median streamflow and TDS were apparent during the winter and summer months.
Seasonal Kendall tests showed no significant trends in monthly mean streamflow (October 1995 through September 2022) at Arkansas River sites upstream from Pueblo Reservoir. Upward trends in TDS concentrations and loads occurred only at Ark Granite. Downward trends in streamflow, TDS concentrations, and TDS loads occurred at Arkansas River sites from USGS 07109500 Arkansas River near Avondale, Colo., to Ark Coolidge. Downward trends in streamflow and SC (surrogate for TDS) were more prevalent during winter base flow months and may indicate changes in groundwater quantity, and possibly groundwater quality, potentially affecting the river water-quality condition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265013","collaboration":"Prepared in cooperation with Southeastern Colorado Water Conservancy District, Colorado Springs Utilities, Pueblo Water, Lower Arkansas Valley Water Conservancy District, Aurora Water, and Upper Arkansas Water Conservancy District","usgsCitation":"Miller, L.D., Eng, L.E., and Sharp, J.B., 2026, Determination of baseline water-quality conditions using continuous specific conductance and discrete measurements of total dissolved solids and selected major ions, Arkansas River Basin, Colorado: U.S. Geological Survey Scientific Investigations Report 2026–5013, 33 p., https://doi.org/10.3133/sir20265013.","productDescription":"Report: vi, 41 p.; 2 Tables; Data Release: Dataset","onlineOnly":"Y","ipdsId":"IP-172978","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":506383,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265013/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5013"},{"id":505781,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DRV9FR","text":"USGS data release","description":"SIR 2026-5013 data release","linkHelpText":"Surrogate Models for Total Dissolved Solids and Major Ion Concentrations at Real-Time Water-Quality Sites, Arkansas River Basin, Colorado, October 1989 - December 2023"},{"id":505780,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","description":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":505779,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2026/5013/sir20265013_AppendixTable1.2.csv","text":"Table 1.2","size":"12.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2026-5013 AppendixTable1.2","linkHelpText":"Distribution of significant trends in monthly median specific conductance values using the Mann-Kendall test at selected sites on the Arkansas River and Fountain Creek, water years 1995–2022"},{"id":505778,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2026/5013/sir20265013_AppendixTable1.1.csv","text":"Table 1.1","size":"5.15 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2026-5013 AppendixTable1.1","linkHelpText":"Distribution of significant trends in monthly mean streamflow using the Mann-Kendall test at selected sites on the Arkansas River and Fountain Creek, water years 1995–2022"},{"id":505777,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5013/sir20265013.pdf","text":"Report","size":"9.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5013"},{"id":505776,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5013/coverthb.jpg"},{"id":505782,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5013/images"},{"id":505783,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5013/sir20265013.xml"}],"country":"United States","state":"Colordao","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5383390369882,\n 39.116847\n ],\n [\n -102.0231103,\n 39.116847\n ],\n [\n -102.0231103,\n 37.086458366461855\n ],\n [\n -105.5383390369882,\n 37.086458366461855\n ],\n [\n -105.5383390369882,\n 39.116847\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
The Arkansas River Basin in Colorado is an important water source for southeastern Colorado. This report discusses continuous water-quality monitoring data across the Arkansas River Basin from 13 sites and evaluates 2 major indicators of general water quality: total dissolved solids and specific conductance. These data were used to establish baseline water-quality conditions that could help identify water-quality changes from potential changes in land and water use or water management.
","publicationDate":"2026-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Lauren E. 0009-0003-9808-4184","orcid":"https://orcid.org/0009-0003-9808-4184","contributorId":332901,"corporation":false,"usgs":true,"family":"Eng","given":"Lauren","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Jackson B. 0009-0005-5495-1041","orcid":"https://orcid.org/0009-0005-5495-1041","contributorId":332900,"corporation":false,"usgs":true,"family":"Sharp","given":"Jackson B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275625,"text":"70275625 - 2026 - Mars as one system: Insights from the 8th international conference on Mars polar science and exploration","interactions":[],"lastModifiedDate":"2026-05-05T15:59:07.567535","indexId":"70275625","displayToPublicDate":"2026-07-01T08:49:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Mars as one system: Insights from the 8th international conference on Mars polar science and exploration","docAbstract":"The 8th International Conference on Mars Polar Science and Exploration (ICMPSE) provided new insights into the complex interplay between Martian ice, climate, and atmospheric dynamics. The conference emphasized a holistic view of Mars as a system, where surface processes, subsurface ice, atmospheric dynamics, and historical climate shifts are interconnected. Research updates spanned cutting-edge remote sensing techniques and observations, terrestrial analog studies, and theoretical modeling, providing a multidimensional view of Mars' dynamic history and present-day activity. Numerous presentations highlighted the importance of understanding Mars as an integrated and dynamic system where surface and atmospheric processes interact over various timescales. This paper synthesizes unresolved questions and the major themes discussed, including mid-latitude glaciation, the evolution of the polar layered deposits (PLDs), terrestrial analog studies, climate modeling, and future mission planning. The findings contributed to refining models of Martian climate history, assessing the potential for extant life, and planning future human exploration. We also discuss the historical perspective of Mars Polar Science and new findings since the 7th conference in this series and anticipate the next four to 20 years of science on Mars related to ice, climate, and the atmosphere.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2026.116998","usgsCitation":"Smith, I.B., Andres, C., Hibbard, S., Nerozzi, S., Aguilar, R., Buhler, P., Cornford, B., Tamppari, L., and Titus, T.N., 2026, Mars as one system: Insights from the 8th international conference on Mars polar science and exploration: Icarus, v. 452, 116998, 16 p., https://doi.org/10.1016/j.icarus.2026.116998.","productDescription":"116998, 16 p.","ipdsId":"IP-177958","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":505978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2026.116998","text":"Publisher Index Page"},{"id":503998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"452","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Isaac B.","contributorId":371158,"corporation":false,"usgs":false,"family":"Smith","given":"Isaac","middleInitial":"B.","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":961135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andres, Chimira","contributorId":241818,"corporation":false,"usgs":false,"family":"Andres","given":"Chimira","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":961136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hibbard, Shannon","contributorId":241820,"corporation":false,"usgs":false,"family":"Hibbard","given":"Shannon","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":961137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nerozzi, Stefano","contributorId":241860,"corporation":false,"usgs":false,"family":"Nerozzi","given":"Stefano","affiliations":[{"id":48409,"text":"Lunar and Planetary Laboratory","active":true,"usgs":false}],"preferred":false,"id":961138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguilar, Roberto","contributorId":371161,"corporation":false,"usgs":false,"family":"Aguilar","given":"Roberto","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":961139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buhler, Peter","contributorId":258300,"corporation":false,"usgs":false,"family":"Buhler","given":"Peter","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":961140,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cornford, Ben","contributorId":371162,"corporation":false,"usgs":false,"family":"Cornford","given":"Ben","affiliations":[{"id":28159,"text":"University of Sheffield","active":true,"usgs":false}],"preferred":false,"id":961141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tamppari, Leslie","contributorId":237035,"corporation":false,"usgs":false,"family":"Tamppari","given":"Leslie","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":961142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":961143,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276995,"text":"70276995 - 2026 - A simplified two-station approach for modeling metabolism in dam tailwaters subject to diel flow variation","interactions":[],"lastModifiedDate":"2026-07-01T15:11:21.094089","indexId":"70276995","displayToPublicDate":"2026-06-30T10:05:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"A simplified two-station approach for modeling metabolism in dam tailwaters subject to diel flow variation","docAbstract":"Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver discontinuities (i.e., dams) violate commonly employed one-station approaches. In such cases, two-station metabolism models can be applied, although substantial diel variation in flow (a common outcome of hydropower production) requires more complex treatment of water parcel travel times. Here, we present a new two-station metabolism model that allows estimation of reach-scale gross primary productivity and ecosystem respiration in streams and rivers that experience within-day variation in flow. Our approach simplifies two-station variable flow model implementation compared to previous efforts. We apply our model to a 6-yr dissolved oxygen time series and use Bayesian inference to estimate daily gross primary productivity, ecosystem respiration, and gas exchange velocity (k600) for a ~12-km reach of the Colorado River downriver of Glen Canyon Dam. We compare our model's performance to a more mechanistically detailed and computationally intensive Eulerian dynamic flow model and also to a widely-used one-station model that uses assumptions of reach uniformity that are often strongly violated in tailwaters. These comparisons show that our metabolism estimates conform with output from the more detailed dynamic flow model and that the one-station approach deviates substantially from both two-station approaches. Our new stream metabolism model can help resolve a fundamental analytical impediment in tailwater ecology.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.70066","usgsCitation":"Bishop, I.W., Deemer, B., Kennedy, T., Payn, R.A., Hall, R.O., and Yackulic, C.B., 2026, A simplified two-station approach for modeling metabolism in dam tailwaters subject to diel flow variation: Limnology and Oceanography Methods, https://doi.org/10.1002/lom3.70066.","ipdsId":"IP-181343","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":506350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.35027722674604,\n 37.000670118236556\n ],\n [\n -111.6063931,\n 37.000670118236556\n ],\n [\n -111.6063931,\n 36.8253299\n ],\n [\n -111.35027722674604,\n 36.8253299\n ],\n [\n -111.35027722674604,\n 37.000670118236556\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Ian Wesley 0000-0003-2197-3197","orcid":"https://orcid.org/0000-0003-2197-3197","contributorId":336123,"corporation":false,"usgs":true,"family":"Bishop","given":"Ian","email":"","middleInitial":"Wesley","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":963853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":963854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":963855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Payn, Robert A.","contributorId":372905,"corporation":false,"usgs":false,"family":"Payn","given":"Robert","middleInitial":"A.","affiliations":[{"id":88460,"text":"Land Resources & Environmental Sciences, Montana State University, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":963856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Robert O. Jr.","contributorId":372906,"corporation":false,"usgs":false,"family":"Hall","given":"Robert","suffix":"Jr.","middleInitial":"O.","affiliations":[{"id":88462,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT, USA","active":true,"usgs":false}],"preferred":false,"id":963857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":963858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276988,"text":"70276988 - 2026 - Mercury biomagnification across food webs with varying non-native fish presence: Implications for native fish conservation in the upper Colorado River Basin","interactions":[],"lastModifiedDate":"2026-07-01T14:53:39.829668","indexId":"70276988","displayToPublicDate":"2026-06-30T09:48:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury biomagnification across food webs with varying non-native fish presence: Implications for native fish conservation in the upper Colorado River Basin","docAbstract":"Environmental contaminants and non-native species introductions negatively affect aquatic ecosystem conservation. Mercury (Hg) accumulates within food webs where it can biomagnify to toxic concentrations, which can be affected by altered trophic relationships from non-native species. This study examined Hg concentrations (n samples = 655) and stable carbon and nitrogen isotope (n = 746) compositions in native (n = 313) and non-native (n = 342) species among four river subbasins (Gunnison, Lower Green, Colorado-Dolores, and White-Yampa), in the Upper Colorado River Basin (UCRB) during 2016 and 2017 to inform the potential combined effects of Hg exposure and non-native species interactions on native fishes of conservation concern. We assessed Hg biomagnification at the fish assemblage level, compared concentrations to risk thresholds for fish and human health, and evaluated niche overlap among trophic levels across subbasins. The generalist-invertivores feeding guild had the lowest Hg concentrations (0.001–0.191 μg g−1 wet weight), and no individuals exceeded the U.S. Environmental Protection Agency aquatic life criterion (0.225 μg g−1). Piscivores had the highest concentrations (0.008–1.840 μg g−1), and 74% of individuals exceeded the criterion. Biomagnification across trophic levels was observed throughout the UCRB, yet varied by subbasin, with higher magnification factors in the Lower Green and White-Yampa subbasins which also had the highest proportion of non-native species. Stable isotope compositions revealed niche overlap among native and non-native species. Additionally, trophic position varied within species among the subbasins. The proliferation of non-native species has likely reshaped food webs and may have intensified the potential threat Hg poses to native fish recovery and conservation. This study documented increased Hg concentrations relative to past assessments, suggesting that continued monitoring could assist in evaluating trends in Hg accumulation. Particularly studies that focus on sources entering the food web, vectors for accumulation, and competitive interactions among native and non-native species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2026.181996","usgsCitation":"Wahl, C.F., Day, N.K., Schmidt, T.S., Roberts, J.J., Brandt, J.E., and Stricker, C.A., 2026, Mercury biomagnification across food webs with varying non-native fish presence: Implications for native fish conservation in the upper Colorado River Basin: Science of the Total Environment, v. 1046, 181996, 19 p., https://doi.org/10.1016/j.scitotenv.2026.181996.","productDescription":"181996, 19 p.","ipdsId":"IP-178937","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":506348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Upper Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.83743209781127,\n 42.99236075758739\n ],\n [\n -111.77003390293811,\n 42.99236075758739\n ],\n [\n -111.77003390293811,\n 37.65951930210163\n ],\n [\n -105.83743209781127,\n 37.65951930210163\n ],\n [\n -105.83743209781127,\n 42.99236075758739\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1046","noUsgsAuthors":false,"publicationDate":"2026-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Wahl, Charles F. 0000-0003-3411-851X","orcid":"https://orcid.org/0000-0003-3411-851X","contributorId":335253,"corporation":false,"usgs":true,"family":"Wahl","given":"Charles","email":"","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":963843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":221742,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis","email":"tschmidt@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":963844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":963847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Jessica E.","contributorId":372903,"corporation":false,"usgs":false,"family":"Brandt","given":"Jessica","middleInitial":"E.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":963845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":963846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276919,"text":"sir20265036 - 2026 - Flood-frequency estimates for Kentucky streamgages based on data through water year 2021 and results of updating the fundamental layers in Kentucky StreamStats","interactions":[],"lastModifiedDate":"2026-07-01T17:15:34.504203","indexId":"sir20265036","displayToPublicDate":"2026-06-30T02:42:00","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":"2026-5036","displayTitle":"Flood-Frequency Estimates for Kentucky Streamgages Based on Data Through Water Year 2021 and Results of Updating the Fundamental Layers in Kentucky StreamStats","title":"Flood-frequency estimates for Kentucky streamgages based on data through water year 2021 and results of updating the fundamental layers in Kentucky StreamStats","docAbstract":"The U.S. Geological Survey, in cooperation with the Kentucky Transportation Cabinet, analyzed flood-frequency statistics for streamgages in Kentucky. Using annual peak-flow data through water year 2021, flood-frequency estimates were computed for 261 streamgages, including unregulated and regulated sites as well as sites with mixed regulation records. Methods followed those outlined in “Guidelines for Determining Flood Flow Frequency—Bulletin 17C” (U.S. Geological Survey Techniques and Methods 4–B5). These estimates included flows corresponding to annual exceedance probabilities of 50, 20, 10, 4, 2, 1, and 0.2 percent. Temporal trend analyses using the Mann-Kendall test indicated that 18 percent of unregulated streamgages with (1) at least 30 years of peak-flow record and (2) peak-flow record at least as recent as water year 2000 showed statistically significant trends, most of which were weak to moderate increases in peak flows. Concurrently, the fundamental geospatial datasets that support the Kentucky StreamStats application were updated by using high-resolution digital elevation models and hydrography datasets to derive flow direction, flow accumulation, and stream definition rasters. Comparisons of regression-based flood-frequency models using the old and new layers demonstrated consistent results, with a statewide root-mean-square error of 0.019, in the base-10 logarithm of cubic feet per second. Furthermore, to assess model performance, flood-frequency estimates made by using the updated layers and previously published regression-based models were compared to flood-frequency estimates newly computed by following Bulletin 17C. This analysis showed the models performed adequately for most Kentucky stream locations. The updated statistics and geospatial layers provide stakeholders with more accurate, current data for flood-risk assessment, infrastructure design, and water-resource management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265036","collaboration":"Prepared in cooperation with the Kentucky Transportation Cabinet","usgsCitation":"VonIns, B.L., Webber, J.J., Follette, D.D., and Jeffords, T.G., 2026, Flood-frequency estimates for Kentucky streamgages based on data through water year 2021 and results of updating the fundamental layers in Kentucky StreamStats: U.S. Geological Survey Scientific Investigations Report 2026–5036, 12 p., https://doi.org/10.3133/sir20265036.","productDescription":"Report: vii, 12 p.; 2 Data Releases","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-135280","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science 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\"}}]}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229-1737
Modeling tools for estimating and forecasting shifts in species distributions are becoming increasingly valuable for conservation planning and response. This is especially true for wild bird populations, which have been declining across habitats and regions. Species distribution models (SDM) represent a diverse set of tools with options for addressing various sources of bias. Complex spatial processes associated with rare or clustered species can be accounted for using zero-inflated SDMs, whereas biased survey data can be integrated with additional data sources to improve estimates. Each option addresses an important and common source of bias, but the two SDM frameworks have not been implemented together previously. We present a novel zero-inflated extension of an integrated SDM framework for a Poisson regression (ZI-iSDM), allowing for the estimation of independent occurrence and abundance processes by integrating opportunistic survey and presence-only data. We validated performance of this ZI-iSDM using simulated datasets under different degrees of species rarity and density on the landscape as well as sampling bias in opportunistic datasets. We additionally applied this model to real survey data for multiple wild bird species using publicly available observation data combined with open-access environmental information to describe habitat associations. We found that integrating presence-only data, such as banding or harvest events, can compensate for potential deficiencies in opportunistic surveys by expanding sampling to be more representative of available and used habitat. Additionally, models that first differentiated occurrence and abundance using a ZI term were better suited for approximating distributions of spatially clustered species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2026.111712","usgsCitation":"Mullinax, J., Gonnerman, M.B., Sullivan, J.D., Kent, C.M., and Prosser, D., 2026, Improved estimates of relative occurrence and abundance using opportunistic surveys and presence-only observations: A zero-inflated integrated species distribution model: Ecological Modeling, v. 521, 111712, 11 p., https://doi.org/10.1016/j.ecolmodel.2026.111712.","productDescription":"111712, 11 p.","ipdsId":"IP-184595","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":506483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2026.111712","text":"Publisher Index Page"},{"id":506224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"521","noUsgsAuthors":false,"publicationDate":"2026-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Mullinax, Jennifer","contributorId":358744,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":963692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonnerman, Matthew Brandon 0000-0002-0791-9218","orcid":"https://orcid.org/0000-0002-0791-9218","contributorId":345802,"corporation":false,"usgs":true,"family":"Gonnerman","given":"Matthew","email":"","middleInitial":"Brandon","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":963688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":963689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Cody M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":963690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":963691,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276933,"text":"70276933 - 2026 - Geochemistry of the 2022 Mauna Loa eruption: A comparison with earlier historical summit reservoir eruptions, with implications for magma supply and recharge","interactions":[],"lastModifiedDate":"2026-06-29T14:32:36.026528","indexId":"70276933","displayToPublicDate":"2026-06-26T09:26:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry of the 2022 Mauna Loa eruption: A comparison with earlier historical summit reservoir eruptions, with implications for magma supply and recharge","docAbstract":"On November 28th, 2022, following a record historical repose period of 38 years, Mauna Loa erupted about 145 × 106 m3 of lava and tephra over a 15-day period. The eruption was confined to the summit caldera region and the upper Northeast Rift Zone and is remarkably homogeneous in composition in both time and space. In these respects, it is typical of prior shallow summit reservoir magma bodies, recently estimated to be at a depth of around 1–2 km beneath the caldera. In contrast with these earlier magma bodies, which typically contain 6.7–7.1% MgO and are perched at the low-MgO end of olivine-control trends, the 2022 lava and tephra are more evolved with 6.24 + / − 0.03% MgO. This implies a temperature difference of around 11 °C with the prior 1984 magma. The simplest explanation is that over 38 years, cooling and crystallization of the remaining 1984 magma body has significantly exceeded magma recharge, giving rise to the evolved 2022 magma. The problem with this model is that we know from a variety of geophysical observations that in those 38 years, Mauna Loa has been erratically inflating, with heightened periods since around 2000 attributed to magma recharge. To reconcile these differences, we suggest instead that the 1984 magma cooled and crystallized much more extensively, from 1166 °C to around 1106 °C, co-crystallizing plagioclase, clinopyroxene, pigeonite and subsequently enstatite instead of pigeonite. At this point, the residual 1984 magma would have an MgO content around 4.2% and been about 50% solidified. Subsequent recharge and mixing by dominantly reservoir magmas, derived from a deeper 3–4-km intermediate magma reservoir, eventually produced the 2022 magma.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-026-01993-7","usgsCitation":"Rhodes, J.M., Trusdell, F., Lynn, K.J., Downs, D.T., and Vollinger, M., 2026, Geochemistry of the 2022 Mauna Loa eruption: A comparison with earlier historical summit reservoir eruptions, with implications for magma supply and recharge: Bulletin of Volcanology, v. 88, 77, https://doi.org/10.1007/s00445-026-01993-7.","productDescription":"77","ipdsId":"IP-178801","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":506207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.6429026434013,\n 19.64234577540033\n ],\n [\n -155.4392027817081,\n 19.64234577540033\n ],\n [\n -155.4392027817081,\n 19.43865485428765\n ],\n [\n -155.6429026434013,\n 19.43865485428765\n ],\n [\n -155.6429026434013,\n 19.64234577540033\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rhodes, J. Michael 0000-0001-9864-5269","orcid":"https://orcid.org/0000-0001-9864-5269","contributorId":372833,"corporation":false,"usgs":false,"family":"Rhodes","given":"J.","middleInitial":"Michael","affiliations":[{"id":49179,"text":"University of Massachusetts-Amherst","active":true,"usgs":false}],"preferred":false,"id":963683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":963684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":963685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":963686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vollinger, Michael 0000-0002-5679-7886","orcid":"https://orcid.org/0000-0002-5679-7886","contributorId":372834,"corporation":false,"usgs":false,"family":"Vollinger","given":"Michael","affiliations":[{"id":49179,"text":"University of Massachusetts-Amherst","active":true,"usgs":false}],"preferred":false,"id":963687,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276741,"text":"fs20263015 - 2026 - Assessment of undiscovered conventional oil and gas resources in the Buda Limestone of Texas, 2025","interactions":[],"lastModifiedDate":"2026-07-01T17:12:12.179379","indexId":"fs20263015","displayToPublicDate":"2026-06-24T11:50:00","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":"2026-3015","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Buda Limestone of Texas, 2025","title":"Assessment of undiscovered conventional oil and gas resources in the Buda Limestone of Texas, 2025","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 12 million barrels of oil and 184 billion cubic feet of gas in the Buda Limestone of Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263015","programNote":"National and Global Petroleum Assessment","usgsCitation":"Lohr, C.D., Doolan, C.A., Merrill, M.D., Craddock, W.H., Gardner, R., Anderson, C.P., Le, P.A., Mercier, T.J., and Schenk, C.J., 2026, Assessment of undiscovered conventional oil and gas resources in the Buda Limestone of Texas, 2025: U.S. Geological Survey Fact Sheet 2026–3015, 4 p., https://doi.org/10.3133/fs20263015.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-184808","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":505700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3015/coverthb.jpg"},{"id":505701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3015/fs20263015.pdf","text":"Report","size":"3.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3015"},{"id":505702,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SN76VY","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Buda Limestone of Texas—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":505837,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3015/images"},{"id":505838,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3015/fs20263015.xml"},{"id":505912,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3015"},{"id":506365,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119569.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Buda Limestone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102,\n 34\n ],\n [\n -92,\n 34\n ],\n [\n -92,\n 26\n ],\n [\n -102,\n 26\n ],\n [\n -102,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
954 National Center
Reston, VA 20192
Porphyritic intrusions in the southeast Beartooth Mountains and porphyritic cobbles from the Torchlight conglomerate of the Cenomanian Frontier Formation in Bighorn basin (Montana-Wyoming, USA) bear striking resemblance. We utilize geologic mapping, petrography, geochemistry, and geochronology to characterize rocks from both locations and test whether the Beartooth Mountains area was the provenance for Bighorn basin cobbles. Mapping on Line Creek Plateau in the Beartooth Mountains shows three units with porphyritic phenocrysts consisting dominantly of plagioclase, plagioclase + potassium feldspar, and plagioclase + quartz. Petrography shows embayed quartz, opacitic rims, and zoned plagioclase. Geochemistry characterizes the intrusions as trachydacite to trachyte and trace elements exhibit enrichment in light rare earth elements and slight depletion in heavy rare earth elements relative to primitive mantle. Zircon U-Pb dating shows substantial Archean inheritance and ca. 104−92 Ma dates; some samples display multiple mid-Cretaceous date populations. Bighorn basin porphyritic cobbles exhibit similar modal mineralogy, near-identical geochemistry, and Archean inheritance and mid-Cretaceous geochronology. We suggest the porphyritic cobbles were sourced from basement-hosted porphyritic intrusions now exposed in the Beartooth Mountains, given that geochemistry does not agree with coeval volcanic sources along the Frontier Formation depositional fairway (Idaho batholith) or sedimentary-hosted Beartooth Mountains porphyritic sills intruded into Cambrian shale. Stratigraphic evidence does not support kilometer-scale mid-Cretaceous Beartooth Mountains exhumation to expose basement-hosted porphyritic intrusions, and we therefore present a volcanic hypothesis to bring rocks to the surface. This mid-Cretaceous multimillion-year magmatism is unexplained by tectonic models for the north-central Laramide foreland, and thus we further explore the emplacement processes, spatiotemporal significance, and tectonic implications of these rocks.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38923.1","usgsCitation":"Thacker, J.O., Brailer, N.A., Michelfelder, G.S., Shaulis, B., VanderLeest, R.A., Attia, S., and Cunningham, E., 2026, Mid-Cretaceous porphyritic magmatism in the Beartooth Mountains of the northern Laramide foreland and its connection to Frontier Formation sediment dispersal in Bighorn basin, Montana-Wyoming (USA), and Cordilleran tectonism: GSA Bullletin, https://doi.org/10.1130/B38923.1.","ipdsId":"IP-183371","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":506303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Big Horn basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.6074368,\n 45.4083454\n ],\n [\n -108.9043174,\n 45.4083454\n ],\n [\n -108.9043174,\n 44.7706461\n ],\n [\n -109.6074368,\n 44.7706461\n ],\n [\n -109.6074368,\n 45.4083454\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Thacker, Jacob O.","contributorId":372854,"corporation":false,"usgs":false,"family":"Thacker","given":"Jacob","middleInitial":"O.","affiliations":[{"id":88452,"text":"Rocky Mountain College","active":true,"usgs":false}],"preferred":false,"id":963767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brailer, Nicholas A.","contributorId":372855,"corporation":false,"usgs":false,"family":"Brailer","given":"Nicholas","middleInitial":"A.","affiliations":[{"id":88453,"text":"Montana State University Billings","active":true,"usgs":false}],"preferred":false,"id":963768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michelfelder, Gary S.","contributorId":372856,"corporation":false,"usgs":false,"family":"Michelfelder","given":"Gary","middleInitial":"S.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":963769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaulis, Barry","contributorId":372857,"corporation":false,"usgs":false,"family":"Shaulis","given":"Barry","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":963770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanderLeest, Rebecca A.","contributorId":372858,"corporation":false,"usgs":false,"family":"VanderLeest","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":963771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Attia, Snir 0000-0001-8582-8197","orcid":"https://orcid.org/0000-0001-8582-8197","contributorId":344165,"corporation":false,"usgs":true,"family":"Attia","given":"Snir","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":963772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cunningham, Eddy","contributorId":372859,"corporation":false,"usgs":false,"family":"Cunningham","given":"Eddy","affiliations":[{"id":88453,"text":"Montana State University Billings","active":true,"usgs":false}],"preferred":false,"id":963773,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276888,"text":"70276888 - 2026 - Thermal infrared and ultraviolet remote sensing of sulfur dioxide gas emitted during the 2018 lower East Rift Zone eruption of Kilauea, Hawaiʻi","interactions":[],"lastModifiedDate":"2026-06-29T16:10:12.221061","indexId":"70276888","displayToPublicDate":"2026-06-24T07:53:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Thermal infrared and ultraviolet remote sensing of sulfur dioxide gas emitted during the 2018 lower East Rift Zone eruption of Kilauea, Hawaiʻi","docAbstract":"Ultraviolet (UV) remote sensing is widely used to detect volcanic sulfur dioxide (SO₂) due to its high sensitivity and favorable spatial and temporal resolution. However, significant discrepancies have been reported between ground-based and satellite-based UV observations of dense volcanic plumes. A notable example is the 2018 lower East Rift Zone eruption of Kīlauea, where SO₂ emission rates derived from ground-based Differential Optical Absorption Spectroscopy (DOAS) measurements differed substantially from those obtained by the spaceborne Tropospheric Monitoring Instrument (TROPOMI). In this study, we investigate these differences by applying thermal infrared (TIR) satellite retrievals using a modified version of the SO₂-ALTA algorithm to Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The resulting TIR-derived SO₂ fluxes are compared with ground-based DOAS data, satellite UV observations, and petrological estimates of gas emissions. Our results show strong agreement between TIR-derived fluxes, ground-based DOAS measurements, and petrological estimates, particularly during the peak and plateau phases of the eruption. In contrast, satellite UV-derived SO₂ emissions are systematically lower. We find that TIR observations are more effective in quantifying high-concentration SO₂ plumes in the near-vent region, while UV measurements are more sensitive under lower-concentration conditions but more affected by scattering in optically dense plumes. These findings highlight the complementary strengths of UV and TIR remote sensing techniques and emphasize the importance of accounting for plume density and observation geometry when interpreting satellite SO₂ retrievals.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-026-02004-5","usgsCitation":"Gabrieli, A., Kern, C., Lerner, A., Realmuto, V.J., Carn, S., Nadeau, P.A., Wright, R., and Porter, J.N., 2026, Thermal infrared and ultraviolet remote sensing of sulfur dioxide gas emitted during the 2018 lower East Rift Zone eruption of Kilauea, Hawaiʻi: Bulletin of Volcanology, v. 88, 76, https://doi.org/10.1007/s00445-026-02004-5.","productDescription":"76","ipdsId":"IP-189503","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":505908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -155.4727625,\n 19.3686062\n ],\n [\n -155.2091918920762,\n 19.376341900270532\n ],\n [\n -155.2091918920762,\n 19.247549862007077\n ],\n [\n -155.2646912,\n 19.264299\n ],\n [\n -155.3661629,\n 19.2232172\n ],\n [\n -155.4768625205247,\n 19.247549862007077\n ],\n [\n -155.4727625,\n 19.3686062\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gabrieli, Andrea","contributorId":372801,"corporation":false,"usgs":false,"family":"Gabrieli","given":"Andrea","affiliations":[{"id":88423,"text":"Univ. of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":963586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":963587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":963588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Realmuto, Vincent J.","contributorId":372802,"corporation":false,"usgs":false,"family":"Realmuto","given":"Vincent","middleInitial":"J.","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":963589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carn, Simon","contributorId":344949,"corporation":false,"usgs":false,"family":"Carn","given":"Simon","affiliations":[],"preferred":false,"id":963590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":963591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Robert","contributorId":174413,"corporation":false,"usgs":false,"family":"Wright","given":"Robert","affiliations":[],"preferred":false,"id":963592,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Porter, John N.","contributorId":372803,"corporation":false,"usgs":false,"family":"Porter","given":"John","middleInitial":"N.","affiliations":[{"id":88429,"text":"Univ of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":963593,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70276779,"text":"sim3548 - 2026 - Colored shaded-relief bathymetric and acoustic-backscatter maps of Jenkinson Lake with orthomosaic of the Sly Park Creek and Hazel Creek area, California","interactions":[],"lastModifiedDate":"2026-06-24T14:17:19.358294","indexId":"sim3548","displayToPublicDate":"2026-06-23T14:47:41","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3548","displayTitle":"Colored Shaded-Relief Bathymetric and Acoustic-Backscatter Maps of Jenkinson Lake with Orthomosaic of the Sly Park Creek and Hazel Creek Area, California","title":"Colored shaded-relief bathymetric and acoustic-backscatter maps of Jenkinson Lake with orthomosaic of the Sly Park Creek and Hazel Creek area, California","docAbstract":"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
Digital flood-inundation maps for 35.5 miles of the Blue River, in and near Kansas City, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Kansas City. Maps were also developed for a combined 7.3 miles of Brush Creek (4.4 miles) and Indian Creek (2.9 miles), two primary tributaries to the Blue River in the study reach. The flood-inundation maps, available through the USGS Flood Inundation Mapping Program website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding, depth of water above first-floor elevations in selected buildings, water velocity, water-surface elevations, and time of travel corresponding to selected water levels or gage heights (hereafter referred to as “stages”) at nine reference USGS streamgages—five on the Blue River (USGS station numbers 06893590, 06893578, 06893500, 06893150, and 06893100), two on Brush Creek (USGS station numbers 06893562 and 06893557), one on Indian Creek (USGS station number 06893390), and one on the Missouri River (USGS station number 06893000). Near-real-time stages at these streamgages may be obtained from USGS Water Data for the Nation at https://doi.org/10.5066/F7P55KJN or the National Weather Service National Water Prediction Service at http://water.noaa.gov/, which also forecasts flood hydrographs at seven of these sites (USGS station numbers 06893000, 06893590, 06893578, 06893500, 06893150, 06893557, and 06893390).
Flood profiles were computed for eight map reaches by means of two-dimensional hydraulic models. The models were calibrated using the USGS-developed stage–streamflow relations at each reference streamgage. Two map reaches on the lower Blue River also include the effects of backwater from the Missouri River on flood inundation extent and hydraulic characteristics.
The hydraulic models were used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datums. The profile stages ranged from the National Weather Service “Action Stage” or near bankfull to a stage exceeding the highest recorded water level at each streamgage. The simulated water-surface profiles were then combined with a digital elevation model (derived from light detection and ranging data having a nonvegetated vertical accuracy of a maximum 10-centimeter root-mean-square error) to delineate the area flooded at each water level and the associated hydraulic characteristics.
The availability of these maps, along with information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel, resource managers, and residents with information that could be critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265033","collaboration":"Prepared in cooperation with the City of Kansas City, Missouri","usgsCitation":"Heimann, D.C., Cigrand, C.V., High, J.L., Kostynick, R.P., Atkinson, A.A., and Rydlund, P.H., Jr., 2026, Flood-inundation maps of the Blue River and major tributaries in and near Kansas City, Missouri, 2023–25: U.S. Geological Survey Scientific Investigations Report 2026–5033, 26 p., https://doi.org/10.3133/sir20265033.","productDescription":"Report: viii, 26 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-182544","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":506364,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119567.htm","linkFileType":{"id":5,"text":"html"}},{"id":505633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5033/coverthb.jpg"},{"id":505637,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265033/full","description":"SIR 2026–5033 HTML"},{"id":505635,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5033/sir20265033.XML","description":"SIR 2026–5033 XML"},{"id":505634,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5033/sir20265033.pdf","text":"Report","size":"33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026–5033 PDF"},{"id":505638,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NSJHXH","text":"USGS data release","linkHelpText":"Flood-inundation map products, travel time estimates, geospatial information, and hydraulic models of the Blue River and major tributaries, in and near Kansas City, Missouri, 2023–25"},{"id":505636,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5033/images/"}],"country":"United States","state":"Kansas, Missouri","city":"Kansas City","otherGeospatial":"Blue River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.833,\n 39.1667\n ],\n [\n -94.4,\n 39.1667\n ],\n [\n -94.4,\n 38.75\n ],\n [\n -94.833,\n 38.75\n ],\n [\n -94.833,\n 39.1667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
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The U.S. Geological Survey (USGS) created a new set of flood-inundation maps for the Blue River and two of its tributaries, Brush Creek and Indian Creek, in and near Kansas City, Missouri. These maps show where flooding is likely to spread and how deep the water may get when the river rises to different water levels. The maps are based on water-level information measured at nine USGS streamgages in the area. Using computer simulations, the USGS estimated how water would move through river channels and across nearby land during floods. The results show the likely extent of flooding, areas where water may flow quickly, and places where the water might become deep enough to threaten buildings and roads. These maps can help residents, businesses, and emergency managers understand their flood risk and make informed decisions before and during flood events. Knowing which areas may flood at different river levels helps people better plan evacuation routes, road closures, and other safety measures.
","publicationDate":"2026-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"High, Jason L. 0009-0009-1031-1439","orcid":"https://orcid.org/0009-0009-1031-1439","contributorId":372425,"corporation":false,"usgs":false,"family":"High","given":"Jason","middleInitial":"L.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":963077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kostynick, Robert P. 0009-0004-2801-1091","orcid":"https://orcid.org/0009-0004-2801-1091","contributorId":372426,"corporation":false,"usgs":true,"family":"Kostynick","given":"Robert","middleInitial":"P.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":963078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":963079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":963080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276820,"text":"70276820 - 2026 - Perceptions of parcel-level wildfire risk differ between homeowners and trained assessors in wildland-urban interface communities across the western United States","interactions":[],"lastModifiedDate":"2026-06-24T16:03:55.28622","indexId":"70276820","displayToPublicDate":"2026-06-23T10:56:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Perceptions of parcel-level wildfire risk differ between homeowners and trained assessors in wildland-urban interface communities across the western United States","docAbstract":"Wildfire risk mitigation on private property is central to reducing community wildfire vulnerability. Homeowners have control over many of the key factors that contribute to wildfire risk on their parcels, yet vulnerable conditions persist. One potential explanation is a misalignment between homeowners' and trained assessors' perceptions of parcel-level wildfire risk. Prior research has documented a “risk gap” in a single community wherein owners often underestimate their parcel-level wildfire risk; however, it is unclear whether such misalignments are widespread. This study replicates and expands previous research by examining the parcel-level wildfire risk gap in 38 wildland–urban interface (WUI) communities across the Western United States using paired data from household surveys and parcel-level wildfire risk assessments by trained assessors. We find that homeowners and assessors often perceive parcel characteristics differently. Homeowners may systematically mis-weight their importance, tending to underweight key controllable factors such as building materials and defensible space, leading to meaningful divergence from trained assessor ratings. Accordingly, we also find that homeowners generally underestimate overall parcel wildfire risk compared to trained assessors. These results suggest that even when homeowners recognize attributes on their parcels that contribute to wildfire risk, they may not fully grasp how much the attributes contribute to overall parcel risk, potentially failing to recognize the need to undertake meaningful mitigation actions. The findings from this study contribute to the broader natural hazards literature on expert-layperson risk perception gaps and offer insights for improving wildfire communication, education, and mitigation strategies in WUI communities.
","language":"English","publisher":"Wiley","doi":"10.1111/risa.70268","usgsCitation":"Wallace, K., Webster, G., Brenkert-Smith, H., Champ, P.A., Donovan, C., Wagner, C., Barth, C.M., Kuehn, J., Wittenbrink, S., and Meldrum, J.R., 2026, Perceptions of parcel-level wildfire risk differ between homeowners and trained assessors in wildland-urban interface communities across the western United States: Risk Analysis, v. 46, no. 7, e70268, 15 p., https://doi.org/10.1111/risa.70268.","productDescription":"e70268, 15 p.","ipdsId":"IP-183761","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":506080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/risa.70268","text":"Publisher Index Page"},{"id":505834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.87193311450088,\n 61.38021349656111\n ],\n [\n -148.38408803583386,\n 61.38021349656111\n ],\n [\n -148.38408803583386,\n 59.42383348186476\n ],\n [\n -151.87193311450088,\n 59.42383348186476\n ],\n [\n -151.87193311450088,\n 61.38021349656111\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.5996176,\n 43.7152618\n ],\n [\n -103.99309069449717,\n 43.7152618\n ],\n [\n -103.99309069449717,\n 33.721908765802056\n ],\n [\n -112.5996176,\n 33.721908765802056\n ],\n [\n -112.5996176,\n 43.7152618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"7","noUsgsAuthors":false,"publicationDate":"2026-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, 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Center","active":true,"usgs":false}],"preferred":false,"id":963453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":372706,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":88412,"text":"USDA Forest Service, Washington Office, Fire and Aviation Management","active":true,"usgs":false}],"preferred":false,"id":963454,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":963455,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) 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