Invasive carp pose ecological and economic risks to North American freshwater systems. This study uses the Fluvial Egg Drift Simulator to model the drift of invasive silver carp (Hypophthalmichthys molitrix) eggs and larvae after hypothetical spawning in Pools 1–10 of the Upper Mississippi River. Although adult invasive carps have been detected in this region, no reproduction has been confirmed as of this publication. A total of 450 spawning scenarios were simulated, representing 5 water temperatures, 9 flows, and 10 spawning locations in the tailwaters of lock and dam structures. The study examined egg and larval positions at two key developmental stages: hatching and gas bladder inflation, when larvae seek nursery habitat. Under a wide variety of flow conditions and water temperatures, eggs spawned upstream from Lake Pepin (Pool 4) are likely to settle in the lake before hatching, possibly increasing mortality rates. Eggs that survive passage through Lake Pepin reach gas bladder inflation within the study area, except in scenarios with lower temperatures and higher flows. Conversely, larvae spawned downstream from Lake Pepin generally drift out of the study area before reaching gas bladder inflation, except in cases of higher temperatures and lower flows. These findings inform ichthyoplankton sampling strategies and management actions aimed at reducing invasive carp populations in areas likely to support recruitment.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-41803-w","usgsCitation":"LeRoy, J.Z., Loppnow, G., Jackson, P.R., and Lasher, G.E., 2026, Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River: Scientific Reports, v. 16, 14421, 18 p., https://doi.org/10.1038/s41598-026-41803-w.","productDescription":"14421, 18 p.","ipdsId":"IP-173009","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-41803-w","text":"Publisher Index Page"},{"id":504086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.6,\n 45.1\n ],\n [\n -90,\n 45.1\n ],\n [\n -90,\n 42.667\n ],\n [\n -93.6,\n 42.667\n ],\n [\n -93.6,\n 45.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loppnow, Grace","contributorId":344014,"corporation":false,"usgs":false,"family":"Loppnow","given":"Grace","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lasher, G. Everett 0000-0001-6975-8264","orcid":"https://orcid.org/0000-0001-6975-8264","contributorId":371225,"corporation":false,"usgs":false,"family":"Lasher","given":"G.","middleInitial":"Everett","affiliations":[{"id":7197,"text":"Unaffiliated","active":true,"usgs":false}],"preferred":false,"id":961323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275797,"text":"70275797 - 2026 - Water scarcity and infrastructure risk of amplified seasonal sediment transport","interactions":[],"lastModifiedDate":"2026-05-19T14:28:32.16682","indexId":"70275797","displayToPublicDate":"2026-05-06T09:22:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5791,"text":"Nature Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Water scarcity and infrastructure risk of amplified seasonal sediment transport","docAbstract":"Climate warming and deglaciation are reshaping hydrological seasonality in cold–dry regions, threatening the long-term sustainability of agriculture, ecosystems and local communities. However, existing evidence is limited to runoff seasonality. Changing sediment-transport seasonality, a more sensitive component, is emerging as a substantial yet under-recognized threat to water infrastructure. Leveraging monthly observations from the upper Tarim River from the 1960s to 2000s, we show that a warmer and wetter climate has intensified sediment-transport seasonality, with a 43% increase in summer sediment fluxes. Over half of this amplification stems from more frequent extreme sediment transport, particularly events triggered by high sediment supply rather than high discharge. Supported by a state-of-the-art river change dataset, we show that enhanced sediment seasonality and extreme sediment transport have largely contributed to increased river mobility since 2000. Sediment-driven changes are pushing riverine processes towards greater unpredictability and pose growing threats to water infrastructure and water security in vulnerable cold–dry regions.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-026-01829-4","usgsCitation":"Zhang, T., Best, J.L., East, A.E., Rosa, L., Wu, Q., Li, Y., Qi, Y., Li, Y., and Li, D., 2026, Water scarcity and infrastructure risk of amplified seasonal sediment transport: Nature Sustainability, https://doi.org/10.1038/s41893-026-01829-4.","ipdsId":"IP-181090","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ting","contributorId":331672,"corporation":false,"usgs":false,"family":"Zhang","given":"Ting","affiliations":[],"preferred":false,"id":961783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":961784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":961786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Qianhan","contributorId":371409,"corporation":false,"usgs":false,"family":"Wu","given":"Qianhan","affiliations":[{"id":88135,"text":"School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":961787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Yiyi","contributorId":371410,"corporation":false,"usgs":false,"family":"Li","given":"Yiyi","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qi, Yu","contributorId":371412,"corporation":false,"usgs":false,"family":"Qi","given":"Yu","affiliations":[],"preferred":false,"id":961791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Yunkai","contributorId":371411,"corporation":false,"usgs":false,"family":"Li","given":"Yunkai","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961789,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Dongfeng","contributorId":297068,"corporation":false,"usgs":false,"family":"Li","given":"Dongfeng","email":"","affiliations":[{"id":64287,"text":"National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":961790,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276467,"text":"70276467 - 2026 - Restoration in motion: Expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","interactions":[],"lastModifiedDate":"2026-06-08T13:16:07.262292","indexId":"70276467","displayToPublicDate":"2026-05-06T09:08:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Restoration in motion: Expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","title":"Restoration in motion: Expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","docAbstract":"Habitat fragmentation poses a significant threat to migratory species. Dams are a common form of fragmentation, and recent restoration efforts around the Great Lakes have prioritized dam removal. We used acoustic telemetry to describe migratory movements of two redhorse species in the Sandusky and Cuyahoga rivers, Ohio, USA in relationship to habitat reconnection. Shorthead redhorse (Moxostoma macrolepidotum) typically migrated from both rivers into Lake Erie between May and July, moving 40–248 km straight-line distance from the river before returning the following spring. We recorded individual cumulative distances up to 809 km between spawning seasons. Shorthead redhorse demonstrated tributary fidelity, but individuals from both rivers co-occurred along southern Lake Erie. Silver redhorse (M. anisurum) largely remained in their tagging tributary watersheds year-round. Cuyahoga River silver redhorse moved upstream from March to April 28.8 km on average and passed upstream of the historical Brecksville Dam (removed in 2020), occasionally reaching the next upstream dam. Telemetry data revealed redhorse use of newly available habitat upstream of dam removals and previously undescribed long-range adfluvial migration by shorthead redhorse.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0330","usgsCitation":"Bonjour, S.M., Roberts, J.J., Mills, M.A., Walters, D., Mueller, A.T., Fischer, N.D., Trimbath, R.J., Wagner, C.P., Jenkins, P.I., and Acre, M.R., 2026, Restoration in motion: Expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-13, https://doi.org/10.1139/cjfas-2025-0330.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-183824","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":505089,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga River, Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.99957437904655,\n 41.455123996119426\n ],\n [\n -83.15876511531583,\n 41.455123996119426\n ],\n [\n -83.15759076931299,\n 41.29563625906624\n ],\n [\n -82.99922556340212,\n 41.29563625906624\n ],\n [\n -82.99957437904655,\n 41.455123996119426\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.79589612495593,\n 41.50836069209177\n ],\n [\n -81.4024573976178,\n 41.50836069209177\n ],\n [\n -81.40795017590118,\n 41.07604448536253\n ],\n [\n -81.79726538487185,\n 41.07604448536253\n ],\n [\n -81.79589612495593,\n 41.50836069209177\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Marc A.","contributorId":371845,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","middleInitial":"A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":962457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller, Andrew T. 0000-0001-8566-8023","orcid":"https://orcid.org/0000-0001-8566-8023","contributorId":238278,"corporation":false,"usgs":true,"family":"Mueller","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Nicholas David 0009-0002-7348-0773","orcid":"https://orcid.org/0009-0002-7348-0773","contributorId":371846,"corporation":false,"usgs":true,"family":"Fischer","given":"Nicholas","middleInitial":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trimbath, Ryan J.","contributorId":371847,"corporation":false,"usgs":false,"family":"Trimbath","given":"Ryan","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park 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0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962464,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275189,"text":"sir20265002 - 2026 - Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","interactions":[],"lastModifiedDate":"2026-05-11T16:59:37.032231","indexId":"sir20265002","displayToPublicDate":"2026-05-04T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5002","displayTitle":"Analysis of Alternative Weir Designs for Improved Passage of Select Fish at the U.S. Geological Survey Streamgaging Weir at Blackwells Mills, New Jersey","title":"Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","docAbstract":"As the population of New Jersey continues to remain dense, the need for water supply will likely continue to be high, which can lead to water managers needing to make difficult decisions about managing drinking-water supply. Streamgaging weirs like the ones used by the U.S. Geological Survey (USGS) play a critical role in providing accurate and stable streamflow data, but their presence can affect the passage of diadromous fish species such as river herring (Alosa pseudoharengus [alewife], Alosa aestivalis [blueback herring], and Alosa sapidissima [American shad]). In some situations, weirs existing in rivers and streams are no longer used because they were part of a farm irrigation system or some type of industrial operation. The weir at the USGS streamgage 01402000 Millstone River at Blackwells Mills, New Jersey, was purposefully built as a hydraulic-control structure that provides a precise and stable control for the measurement of stage and computation of continuous streamflow. To satisfy the dual need of maintaining accurate streamflow data and providing improved fish passage for select species of fish during migration season, the USGS proposed the development and evaluation of two alternative weir designs that would meet the criteria established for successful passage of American shad, alewife, and blueback herring during their yearly migration. The designs were also required to maintain adequate control of the upstream pool elevation necessary for the precise computation of streamflow used by State agencies for municipal water-supply purposes for surrounding communities.
Two alternative weir design modifications were incorporated at the center of the Blackwells Mills weir and modeled using two-dimensional hydraulic modeling software and three-dimensional computational fluid-dynamics software to simultaneously evaluate conditions for passage of the target fish species and effects to streamflow computations at the streamgage. The models were calibrated to existing conditions around the weir location using surveyed-elevation data and recorded stage, streamflow, and velocity in the Millstone River. The alternative weir designs lowered the weir crest by 1.02 feet (ft) and the resulting simulations showed an effective increase in depth of 0.98 ft at the median streamflow of 251 cubic feet per second (ft3/s) and 0.96 ft at the 95-percent exceedance streamflow of 98 ft3/s. The alternative weir designs were also found to increase streamflow depth across the shallowest portions of the weir structure at the downstream anti-scour skirt by lowering the skirt about 4 inches, allowing for two or more body depths of water for American shad, alewife, and blueback herring at the median migration streamflow of 251 ft3/s. The alternative weir designs also reduced the highest stream velocities across the downstream weir sill and anti-scour skirt from about 9 to 10 feet per second, and the depth-averaged velocity to about 7 to 8 feet per second. The sensitivity of the weir with respect to the computation of streamflow was increased from about 1.8 cubic feet per second per hundredth foot to 1.6 cubic feet per second per hundredth foot for streamflows of about 10–100 cubic feet per second.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265002","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., and Mulligan, K.B., 2026, Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2026–5002, 31 p., https://doi.org/10.3133/sir20265002.","productDescription":"Report: ix, 31 p.; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179030","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119406.htm","linkFileType":{"id":5,"text":"html"}},{"id":503276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5002/coverthb.jpg"},{"id":503277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.pdf","text":"Report","size":"56.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5002 PDF"},{"id":503278,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265002/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5002 HTML"},{"id":503279,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.XML","text":"SIR 2026-5002 XML","description":"SIR 2026-5002 XML"},{"id":503280,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5002/images"},{"id":503281,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14T93HI","text":"USGS data release","linkHelpText":"HEC-RAS and FLOW 3-D HYDRO models used to evaluate alternative weir designs for the Millstone River at Blackwells Mills, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Blackwells Mills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.57920795080669,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47768788237764\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Prioritization is a central component of natural resource management because conservation needs routinely exceed available resources. Waterfowl and wetland conservation programs in North America are at the forefront of landscape-scale prioritization and transboundary management decisions due to the migratory nature of ducks, geese, and swans. The growing availability of geographic information systems (GIS) and geospatial technologies has accelerated the development of multi-objective landscape prioritization models, including applications of structured decision making and multi-criteria decision analysis to spatial planning for waterfowl and wetlands at the continental scale. However, regional managers and conservationists could benefit from flexibility in downscaling continental tools, selecting objectives, and assigning weights for rapid production of spatial prioritization models at smaller spatial scales without extensive computer coding or GIS analysis. We developed a spatial value model that prioritizes landscapes at sub-continental scales (e.g., states and provinces, bird conservation regions, etc.) and provides flexibility for users to select waterfowl conservation objectives of interest and weights. Our model can be used for direct downscaling of an existing continental geospatial model or further customized with region-specific geospatial data. We illustrate how regional prioritization can vary with the spatial scale selected by the user. The spatial value modeling framework and the downscaling tool presented here could increase the use of multi-criteria decision analysis and linear value modeling in spatial landscape prioritization, while also providing flexibility for selecting scales, objectives, and weights. Our spreadsheet tool was developed specifically for use by regional biologists, conservationists, and managers and does not require knowledge of GIS software (although results can be exported from the spreadsheet for spatial analysis using GIS). Together, the model outputs and the accompanying spreadsheet tool provide a bridge between continental waterfowl conservation and regional implementation, enabling rapid, stakeholder-driven, value-explicit prioritization.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70027","usgsCitation":"Couvillon, A., Soulliere, G., Gordon, D., Eggeman, D., Al-Saffar, M.A., Humburg, D.D., and Lyons, J., 2026, Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.70027.","ipdsId":"IP-168494","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70027","text":"Publisher Index Page"},{"id":504242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillon, Anastasia","contributorId":371246,"corporation":false,"usgs":false,"family":"Couvillon","given":"Anastasia","affiliations":[{"id":63963,"text":"University of Louisiana","active":true,"usgs":false}],"preferred":false,"id":961373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulliere, Gregory J.","contributorId":353609,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, David H.","contributorId":221670,"corporation":false,"usgs":false,"family":"Gordon","given":"David H.","affiliations":[],"preferred":false,"id":961375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggeman, Diane","contributorId":371247,"corporation":false,"usgs":false,"family":"Eggeman","given":"Diane","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":961376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Saffar, Mohammed A","contributorId":292215,"corporation":false,"usgs":false,"family":"Al-Saffar","given":"Mohammed","email":"","middleInitial":"A","affiliations":[{"id":62842,"text":"USWFS","active":true,"usgs":false}],"preferred":false,"id":961377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":961378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275210,"text":"fs20263065 - 2026 - An automated geographic information system-based hydraulic modeling tool for developing preliminary culvert designs for stream crossings in Massachusetts","interactions":[],"lastModifiedDate":"2026-05-01T19:08:48.376321","indexId":"fs20263065","displayToPublicDate":"2026-05-01T12:11:01","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":"2026-3065","displayTitle":"An Automated Geographic Information System-Based Hydraulic Modeling Tool for Developing Preliminary Culvert Designs for Stream Crossings in Massachusetts","title":"An automated geographic information system-based hydraulic modeling tool for developing preliminary culvert designs for stream crossings in Massachusetts","docAbstract":"Currently (2026), many of the about 25,000 roadway crossing structures over rivers and streams in Massachusetts are undersized. Undersized culverts and bridges can be detrimental to fish and wildlife movement, habitat continuity, and the health of aquatic organisms. Undersized culverts also can lack the resiliency needed to withstand large floods, which could be worsened by potential increases in flood magnitude and frequency due to climate change. Improving culvert and bridge designs for stream crossing projects may improve aquatic organism passage, stream continuity, and resiliency during future floods by decreasing upstream overbank flooding, road flooding and erosion, and degradation of aquatic habitat.
The U.S. Geological Survey (USGS), Massachusetts Department of Environmental Protection (MassDEP), and University of Massachusetts Amherst began a series of cooperative studies in July 2019 to develop an automated geographic information system (GIS) hydraulic modeling tool for preliminary culvert designs for stream crossings. The USGS plans to provide preliminary culvert designs in the web-based StreamStats application, which enables municipalities and engineers to view potential designs and related information for stream crossing replacement projects in Massachusetts. This application can (a) provide information on hydrology, hydraulics, and ecological conditions at stream crossing sites, (b) provide users with potential culvert designs to improve aquatic organism passage and flood resiliency, and (c) assist MassDEP in implementing the Massachusetts Wetlands Protection Act regulations for stream crossing projects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263065","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Bent, G.C., McCarthy, B.A., Sturtevant, L.P., McCallister, M.A., Tudor, A.L., Armstrong, I.P., Poe, M.W., Graziano, A.P., and Carlson, C.S., 2026, An automated geographic information system-based hydraulic modeling tool for developing preliminary culvert designs for stream crossings in Massachusetts: U.S. Geological Survey Fact Sheet 2026–3065, 6 p., https://doi.org/10.3133/fs20263065.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-165751","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":503353,"rank":5,"type":{"id":18,"text":"Project 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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Water-supply managers in the Colorado River Basin are tasked with balancing consumptive water use with natural water supply. Decisions associated with water-supply policy can include where and how much water consumption occurs, where water could be stored, and how to operate reservoirs. Water-supply decisions often affect other resources including energy production, recreation and aquatic ecosystems.
The goal of this project was to model how different water supply management scenarios might affect riverine ecosystems with a specific focus on potential impacts on federally listed fish populations, including threatened humpback chub (Gila cypha) and endangered Colorado pikeminnow (Ptychocheilus lucius) and razorback sucker (Xyrauchen texanus). Threats to these endemic species include introduced non-native fish species that often become invasive, like smallmouth bass (Micropterus dolomieu), and altered physical conditions that may favor these non-native fish species over the endemic fish species. Changes in how water supply may be managed in the Colorado River Basin can affect physical conditions in rivers by altering how much water flows through a particular river segment at a given time, by changing the extent of riverine ecosystems between reservoirs, and by determining the quality of water released from storage reservoirs with fixed release elevation (e.g., full reservoirs generally release colder water). To address our goal, we developed tools that coupled water storage models, river temperature models and fish population models to examine how different scenarios to operate Lake Mead, Lake Powell, and Flaming Gorge Reservoir, the three largest reservoirs in the watershed, may affect fish populations.
We developed our work plan when available water supply was diminished. At the end of our project period (May 2022), Lake Powell and Lake Mead contained historically low water levels, and our models were being used in evaluating different options for operating Lake Powell by the Bureau of Reclamation and other stakeholders.
","language":"English","publisher":"Southwest Climate Adaptation Science Center","usgsCitation":"Schmidt, J.C., and Yackulic, C.B., 2026, Informing policy response to declining water supply in the Colorado River basin: Linking water supply management with outcomes for fish communities: Final Report, 30 p.","productDescription":"30 p.","ipdsId":"IP-171966","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504545,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6580e4b0546c0c397b4e/5d49e2eae4b01d82ce8de984"}],"country":"United States","state":"Arizona, Utah, Wyoming","otherGeospatial":"Colorado River, Flaming Gorge Dam, Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.3057922,\n 41.668286\n ],\n [\n -113.78987108248965,\n 41.668286\n ],\n [\n -113.78987108248965,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 41.668286\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":371443,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","middleInitial":"C.","affiliations":[{"id":88143,"text":"Janet Quinney Lawson Chair in Colorado River Studies, Center for Colorado River Studies, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":961827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":961828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70276315,"text":"70276315 - 2026 - Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","interactions":[],"lastModifiedDate":"2026-05-28T14:50:26.640902","indexId":"70276315","displayToPublicDate":"2026-05-01T09:42:53","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":24799,"text":"Data Series","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"6","title":"Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","docAbstract":"The Geochemical Geodatabase of Sedimentary Strata (Coal, Coal-adjacent Rocks, Tuffaceous Oil Shale, Phosphate-rich Rocks) and Produced Water in the Uinta Region, Utah and Colorado, consists of compiled datasets acquired as part of the Carbon Ore, Rare Earth, and Critical Mineral (CORE-CM) Uinta Region assessment funded by the U.S. Department of Energy (DEFE0032046, 2021–2024; Birgenheier et al., 2024). The CORE-CM assessment focused on providing comprehensive geological and geochemical characterization of current and prospective sedimentary-hosted resources including coal, oil shale, phosphatic limestone, and produced water from oil and gas targets present in eastern Utah and northwestern Colorado (Figure 1).
This Data Series includes a geodatabase that consists of analytical geochemical data collected September 2021 through December 2024 via portable X-ray fluorescence (pXRF), and laboratory measured analyses produced by inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectroscopy (ICP-OES). The coal-related geochemical data are derived primarily from the Cretaceous Blackhawk Formation and Ferron Sandstone of Utah, and the Mesaverde Group of Colorado. Additional non-coal resources assessed include oil shale-bearing strata of the Eocene upper Green River Formation (Utah and Colorado), phosphate-rich limestone of the Permian Park City Formation (Utah) and produced water from oil and gas-bearing strata of the Eocene Green River and Wasatch Formations (Uinta Basin) and the Pennsylvanian Paradox Formation (Paradox Basin) (Table 1). The CORE-CM assessment included a wide range of lithologies present in the coal, oil shale, and phosphate geologic resource systems whether or not the specific lithology has current economic value. Geochemical analyses of produced water from oil and gas wells focused on current and emerging hydrocarbon targets in the central Uinta Basin and northern Paradox Basin. A total of 13,092 geochemical analyses from these geologic systems is provided in the included geodatabase. A series of coal quality data (e.g., composition and maceral analyses) is also included in the database and was digitized from archived coal samples from the Utah Geological Survey (Appendix A).
","language":"English","publisher":"Utah Geological Survey","doi":"10.34191/DS-6","usgsCitation":"Gall, R.D., Birgenheier, L., Fausett, P., Coe, H., Morris, E., Fernandez, D.P., Wilcock, L., Vanden Berg, M., Masterson, A.L., Jubb, A., Birdwell, J.E., Ashurst-McGee, L., Bailey, N., Giebel, A., Herzberg, A., Chenault, J., and Hoskins, B., 2026, Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado: Data Series 6, 13 p., https://doi.org/10.34191/DS-6.","productDescription":"13 p.","ipdsId":"IP-183398","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Uinta region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 41\n ],\n [\n -113,\n 41\n ],\n [\n -113,\n 37.5\n ],\n [\n -107,\n 37.5\n ],\n [\n -107,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gall, Ryan D.","contributorId":296324,"corporation":false,"usgs":false,"family":"Gall","given":"Ryan","email":"","middleInitial":"D.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":962078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birgenheier, Lauren","contributorId":371588,"corporation":false,"usgs":false,"family":"Birgenheier","given":"Lauren","affiliations":[{"id":13252,"text":"University of 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The U.S. Geological Survey (USGS) Climate Adaptation Science Centers (CASCs) deliver actionable science to help land and resource managers prepare for, reduce the risk of, and recover from drought.
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Basin","interactions":[],"lastModifiedDate":"2026-05-01T16:47:30.87071","indexId":"sir20265018","displayToPublicDate":"2026-04-30T15:25:00","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":"2026-5018","displayTitle":"Understanding the Occurrence and Distribution of Per- and Polyfluoroalkyl Substances (PFAS) in Surface Waters of the Nontidal Passaic River Basin","title":"Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin","docAbstract":"This study, completed by the U.S. Geological Survey in cooperation with the North Jersey District Water Supply Commission (NJDWSC), was designed to characterize the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin in New Jersey that have the potential to affect public-drinking-water quality. In 2025, 37 sites in the Wanaque, Ramapo, Pompton, and Passaic River watersheds were sampled in January, March, July, and September under base-flow conditions and a subset of sites was sampled during two rain events. Samples were analyzed for 40 individual PFAS and total organic carbon and a subset of samples was analyzed for 1,4-dioxane and trace elements. Fifteen PFAS were detected at least once, with individual concentrations ranging from 0.42 to 28 nanograms per liter (ng/L; median, 2.8 ng/L). Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) were widespread and detected in 100 and 97 percent of the samples, respectively. Concentrations of PFOA and PFOS ranged from 1.2 to 28 ng/L (median, 7.7 ng/L) and from 0.52 to 12 ng/L (median, 3.8 ng/L), respectively. Generally, concentrations were lower in the Wanaque and Ramapo River watersheds compared to the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest in July and September when flows were low. During rain events, median concentrations of PFOS were elevated compared to those observed under base-flow conditions, indicating potential inputs from non-point sources. To understand potential drivers of PFAS concentrations, land cover and potential PFAS sources were summarized for each sampling site, and an accumulated wastewater model was used to estimate the percentage of wastewater from upstream municipal and industrial sources in all flowlines of the Passaic River Basin. Developed land, the number of potential sources, and the mean-annual accumulated wastewater percentage were highly correlated with PFAS concentrations and Deciduous Forests were negatively related to concentrations. Data provided by this study can be used by water purveyors and resource managers to make treatment and mitigation decisions to minimize PFAS in local surface waters used as drinking-water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265018","collaboration":"Prepared in cooperation with the North Jersey District Water Supply Commission","usgsCitation":"Schreiner, M.L., Romanok, K.M., Gray, J.T., Brown, E.J., Williams, B.M., Kneser, M., Capuzzi, A.J., Boerner, J., Giunta, L., Serillo, P., Trainor, J.J., and Smalling, K.L., 2026, Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin: U.S. Geological Survey Scientific Investigations Report 2026–5018, 64 p., https://doi.org/10.3133/sir20265018.","productDescription":"Report: ix, 64 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184195","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":503901,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119389.htm","linkFileType":{"id":5,"text":"html"}},{"id":503606,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RGG9YQ","text":"USGS data release","linkHelpText":"Per- and polyfluoroalkyl substances (PFAS) concentration results in the Wanaque, Ramapo, Pompton and Passaic River watersheds, New Jersey 2025"},{"id":503604,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5018 XML"},{"id":503603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265018/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5018 HTML"},{"id":503605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5018/images/"},{"id":503602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.pdf","text":"Report","size":"4.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5018 PDF"},{"id":503601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5018/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Passaic River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.83442630336236,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 41.42203271609333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
U.S. Geological Survey researchers, in cooperation with the North Jersey District Water Supply Commission, determined that per- and polyfluoroalkyl substances (PFAS) are present in northern New Jersey rivers that are used as drinking-water sources. During their 2025 study, the researchers sampled 37 locations across the Wanaque, Ramapo, Pompton, and Passaic River watersheds. The researchers tested each sample for 40 types of PFAS. Of these, 15 were detected at least once. Two PFAS, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), were present in nearly every sample. PFAS concentrations varied by watershed and season. The lowest were detected in the Wanaque and Ramapo River watersheds, and the highest, in the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest under base-flow conditions in July and September.
","publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schreiner, Molly L. 0000-0001-9306-5564","orcid":"https://orcid.org/0000-0001-9306-5564","contributorId":296363,"corporation":false,"usgs":true,"family":"Schreiner","given":"Molly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M. 0000-0002-8472-8765 kromanok@usgs.gov","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":204640,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin","email":"kromanok@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Jacob T. 0000-0002-9374-0336","orcid":"https://orcid.org/0000-0002-9374-0336","contributorId":330273,"corporation":false,"usgs":true,"family":"Gray","given":"Jacob","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Eileen J. 0000-0003-3417-0203 ejbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-0203","contributorId":361968,"corporation":false,"usgs":true,"family":"Brown","given":"Eileen","email":"ejbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kneser, Maureen","contributorId":370591,"corporation":false,"usgs":false,"family":"Kneser","given":"Maureen","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Capuzzi, Albert J.","contributorId":370592,"corporation":false,"usgs":false,"family":"Capuzzi","given":"Albert","middleInitial":"J.","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boerner, Jason","contributorId":370593,"corporation":false,"usgs":false,"family":"Boerner","given":"Jason","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giunta, Luke","contributorId":370594,"corporation":false,"usgs":false,"family":"Giunta","given":"Luke","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Serillo, Paul","contributorId":370595,"corporation":false,"usgs":false,"family":"Serillo","given":"Paul","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960555,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275239,"text":"sir20265142 - 2026 - Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","interactions":[],"lastModifiedDate":"2026-05-01T16:45:34.897463","indexId":"sir20265142","displayToPublicDate":"2026-04-30T10:23:48","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":"2026-5142","displayTitle":"Assessment of Long-Term Trends in Streamflow Statistics Within and Near the Mobile Bay and Perdido Bay Watersheds, United States, 1950–2022","title":"Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","docAbstract":"The U.S. Geological Survey, in cooperation with the Gulf Coast Ecosystem Restoration Council, assessed monotonic trends for a variety of streamflow statistics for 69 long-term U.S. Geological Survey streamgages within either the Mobile Bay or Perdido Bay watersheds that were active through at least at the end of calendar year 2019. Long-term data were defined for this investigation as having at least 50 years of cumulative record within the period since January 1, 1950, with a requirement for a complete record of streamflow during the 2010s (2010–19). The 69 streamgages have at least 54 years and as many as 73 years of daily mean streamflow data; the median period of record is 72 years; and 15 of the streamgages are identified as “major nodes” on the basis of the criteria described. The occurrence of statistically monotonic significant trends for the 69 streamgages at the 0.05 significance level is spatially shown for six statistics. For the major node streamgages, the study depicts (1) time-series graphics of annual mean, annual harmonic mean, decadal 10th, 50th, and 90th-percentile streamflows, and (2) a variation on Quantile-Kendall plots of Kendall’s tau and streamflow nonexceedance probabilities for each of the 365 days of a year. Trend assessment synthesis shows that, except for a few streamgages with relatively greater counts of statistically significant trends than others, the majority (about 93 percent) of individual trend tests indicate no trend in the streamflow and ecological metrics considered.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate various approximations of channel shape. After screening and pre-processing these data, we fit four model types to each XS, including a new approach that involves Stacking PDFs (probability density functions) to Approximate River Channel Shapes (SPARCS). This framework produced depth estimates that closely matched field measurements, with typical cross-sectional area errors <1% and a median R2 of 0.77 for comparison of observed and predicted depths. SPARCS model parameters can be interpreted in terms of channel characteristics: mean depth, asymmetry, bar convexity, and flatness of the bed. The model performed well for the XS included in the database, which was biased toward straight, uniform channels conducive to operational streamflow measurement. Neither model parameters nor accuracy were dependent on discharge. We also assessed the potential of SPARCS to fill in measurement gaps and found that although the model can help, the accuracy of inferred depths decreased as the observable fraction of the channel decreased. An important limitation of SPARCS is that mid-channel bars or multi-threaded morphologies cannot be produced. Graphical tools can help visualize how model parameters affect simulated river forms. SPARCS could facilitate satellite-based discharge estimation by providing prior information on channel shape.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041177","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2026, Evaluating approximations of river channel shape using a national cross section database: Water Resources Research, v. 62, no. 5, e2025WR041177, 35 p., https://doi.org/10.1029/2025WR041177.","productDescription":"e2025WR041177, 35 p.","ipdsId":"IP-179311","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041177","text":"Publisher Index Page"},{"id":503881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":960758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275718,"text":"70275718 - 2026 - Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","interactions":[],"lastModifiedDate":"2026-05-15T13:15:07.488526","indexId":"70275718","displayToPublicDate":"2026-04-30T08:34:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","docAbstract":"Transport of terrigenic sediment from nontidal watersheds into estuaries has important impacts on coastal habitat quality, pollutant transport, and resilience to sea-level rise. However, relatively little is known about changes in suspended sediment as nontidal rivers encounter tide, transition into tidal rivers through the tidal freshwater zone (TFZ), and enter saline portions of estuaries. The goal of this paper is to identify spatial and temporal patterns in suspended sediment concentration (SS) changes across tidal and salinity gradients over multiple tidal rivers, using a robust monitoring long-term dataset from the Chesapeake Bay. The multiple TFZs in the Chesapeake Bay consistently have a “sediment shadow” shown by a local spatial minimum in SS compared to upstream nontidal and downgradient oligohaline river reaches. Similarly, freshwater inputs from nontidal rivers have diminishing influence on tidal SS temporal dynamics with distance downstream from the head-of-tide. Therefore, little of the contemporary watershed sediment load is likely transported past the TFZ except during extreme floods when some sediment may be delivered to saline portions of the estuary. Tidal freshwater and brackish portions of the estuary have spatially variable trends in SS over time, both increases and decreases. However, the more saline downstream ends of tidal rivers and the mainstem of the Chesapeake Bay have had a consistent average 25% decline in SS over the past decades. In summary, the presence of “sediment shadows” suggests watershed loads of sediment are currently mostly not transported through the TFZ into the saline estuary, and likely generate sediment deficits for tidal freshwater wetlands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109931","usgsCitation":"Noe, G.E., Murphy, R., and Krauss, K., 2026, Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”: Estuarine, Coastal and Shelf Science, v. 337, 109931, 14 p., https://doi.org/10.1016/j.ecss.2026.109931.","productDescription":"109931, 14 p.","ipdsId":"IP-178405","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504324,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504375,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2026.109931","text":"Publisher Index Page"}],"country":"United States","state":"Delaware, Maryland, Pennsylvania","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 40\n ],\n [\n -75.2,\n 40\n ],\n [\n -75.2,\n 37\n ],\n [\n -78,\n 37\n ],\n [\n -78,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"337","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca","contributorId":331418,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":961523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":210857,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276540,"text":"70276540 - 2026 - Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria","interactions":[],"lastModifiedDate":"2026-06-09T15:28:29.137387","indexId":"70276540","displayToPublicDate":"2026-04-30T08:22:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria","docAbstract":"Agrivoltaics, the co-location of agriculture and solar photovoltaic (PV) infrastructure, can deliver co-benefits like reduced plant drought stress and improved yields of shade-tolerant crops, particularly in water-scarce regions. Despite growing global interest, the technical potential and opportunities for agrivoltaics remain poorly understood in many regions facing both food and energy insecurity, such as sub-Saharan Africa. Here we provide a spatial assessment of agrivoltaic opportunities in Nigeria by integrating cropland distribution, solar resources, and water stress. We find that northern states—where cropland is abundant and water-stressed, solar irradiance is high, and electricity access remains low—offer the greatest potential for agrivoltaic systems to generate co-benefits. In contrast, the humid forest regions of southern Nigeria exhibit lower suitability, with sparse cropland and weaker solar potential. We also estimate that northern states could fully meet their projected 2050 solar energy targets by allocating less than 1% of existing cropland to agrivoltaics, whereas southern states would require much larger fractions (5.9–18.9%). Notably, in the northern state of Kano, the country’s most populous, allocating 0.6–1.8% of cropland would be sufficient to meet mid-century solar energy projections. Collectively, our findings highlight priority regions where agrivoltaics could most effectively strengthen food-energy security linkages and support equitable energy transition in Nigeria.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-026-48997-z","usgsCitation":"Babarinde, I.E., Salisu, E.B., Benavides, J.A., Pereira, E., Grodsky, S.M., and Almeida, R.M., 2026, Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria: Scientific Reports, 20 p., https://doi.org/10.1038/s41598-026-48997-z.","productDescription":"20 p.","ipdsId":"IP-181674","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nigeria","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 2.851264465908571,\n 14.589762570167153\n ],\n [\n 14.109453690686877,\n 14.529210782534122\n ],\n [\n 14.092146779897575,\n 4.185711419301953\n ],\n [\n 3.303202659892804,\n 4.141705696303603\n ],\n [\n 2.851264465908571,\n 14.589762570167153\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Babarinde, Ifeoluwa E.","contributorId":371979,"corporation":false,"usgs":false,"family":"Babarinde","given":"Ifeoluwa","middleInitial":"E.","affiliations":[{"id":88242,"text":"The University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":962629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salisu, E. Bashir","contributorId":371980,"corporation":false,"usgs":false,"family":"Salisu","given":"E.","middleInitial":"Bashir","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":962630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benavides, Jude A.","contributorId":371400,"corporation":false,"usgs":false,"family":"Benavides","given":"Jude","middleInitial":"A.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":962631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pereira, Engil","contributorId":371981,"corporation":false,"usgs":false,"family":"Pereira","given":"Engil","affiliations":[{"id":88242,"text":"The University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":962632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Almeida, Rafael M.","contributorId":371982,"corporation":false,"usgs":false,"family":"Almeida","given":"Rafael","middleInitial":"M.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":962634,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276528,"text":"70276528 - 2026 - Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","interactions":[],"lastModifiedDate":"2026-06-09T14:57:03.227613","indexId":"70276528","displayToPublicDate":"2026-04-30T07:50:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","title":"Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","docAbstract":"Aquatic invasive species (AIS) are amongst the greatest threats to native aquatic biodiversity. These introduced species often thrive in human-altered environments and spread through human-mediated pathways to invade new watersheds. Corbicula fluminea is a freshwater bivalve native to southeastern Asia first introduced in North America in Seattle, WA, in 1938 and has spread to nearly every major watershed in the southeastern United States. In the present study, we use an information theoretic framework to compare landscape and stream habitat variables associated with C. fluminea presence across five HUC10 watersheds in the upper Savannah River basin of South Carolina and Georgia, USA. Predictive models included landscape-level and site-level habitat variables associated with agricultural, developed, and forested landscapes. Models with variables associated with forested and developed landscapes were the top performing models based on AICc values. In top performing models C. fluminea presence was positively correlated with increased stream width, but negatively correlated with substrates dominated by cobble. Lower performing models highlight positive correlations with the presence of upstream reservoirs and increased developed landscape surrounding the site. Identification of habitat and landscape correlates with invasive species presence may lead to more efficient introduction monitoring efforts for conservation managers.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/ai.2026.21.2.189571","usgsCitation":"Schumber, Z.M., Baker, M.A., Irwin, B., Hamel, M.J., and Hazelton, P.D., 2026, Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA): Aquatic Invasions, v. 21, no. 2, p. 111-126, https://doi.org/10.3391/ai.2026.21.2.189571.","productDescription":"16 p.","startPage":"111","endPage":"126","ipdsId":"IP-176978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"upper Savannah River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.92148068402683,\n 35.4052177436574\n ],\n [\n -82.53167062328764,\n 35.32859575622739\n ],\n [\n -82.66075283407501,\n 34.143783816142786\n ],\n [\n -84.02919228413968,\n 34.222239597486976\n ],\n [\n -83.92148068402683,\n 35.4052177436574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schumber, Zachary M.","contributorId":371930,"corporation":false,"usgs":false,"family":"Schumber","given":"Zachary","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Michael A.","contributorId":371931,"corporation":false,"usgs":false,"family":"Baker","given":"Michael","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamel, Martin J.","contributorId":371939,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazelton, Peter D.","contributorId":371940,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962592,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275267,"text":"sir20265132 - 2026 - Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","interactions":[],"lastModifiedDate":"2026-05-01T16:44:17.159946","indexId":"sir20265132","displayToPublicDate":"2026-04-29T11:00:00","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":"2026-5132","displayTitle":"Hydrologic Investigation of Water Level Fluctuations at Moreau Lake, Moreau Lake State Park, Town of Moreau, New York","title":"Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","docAbstract":"The causes of water level fluctuations at Moreau Lake, within Moreau Lake State Park in the town of Moreau, New York, were investigated from 2016 to 2021 after lake water levels dropped between 2015 and 2016, raising concerns about the loss of a shallow swimming area at the park beach. Annual variation in precipitation records from the area did not account for the lake water level decline. Two possible causes for the low lake water levels were investigated: the increase in groundwater withdrawals from new residential development since about 2000 and seasonal changes (nongrowing and growing seasons) in precipitation.
Investigation of the potential effects of nearby groundwater withdrawals required the compilation and collection of well-log data, seismic surveys, and measurements of lake and groundwater levels, field chemical parameters, and water isotopes to define the hydrogeologic system and to estimate water use. The net result of this work was the determination that Moreau Lake is a “flow though” lake with no surface water outlet; groundwater enters the lake on the upgradient side and exits through the downgradient side, however, groundwater does not flow southward from the lake toward nearby groundwater withdrawals from the semiconfined aquifer, and thus groundwater withdrawals were unlikely to have an effect on lake water levels.
Investigation of the historic precipitation records during nongrowing (November through April) and growing (May through October) indicated that (1) nongrowing season precipitation from 2011–12 to 2015–16 was more deficient than any similar period during the past 78 years and (2) since about 2000, nongrowing seasons have been drier overall and growing seasons have been considerably wetter. Initiation of lake water level monitoring in 2016 provided an opportunity to compare seasonal precipitation with seasonal lake water level changes. Nongrowing season lake water levels are very sensitive to precipitation, such that high precipitation (40 percent above the seasonal median) resulted in a 5-foot rise in lake water level. In contrast, the growing season lake water levels are sensitive to dry conditions; for example, deficient rainfall (about 6 percent below the seasonal median) resulted in a decline of lake water levels of about 3.5 feet. However, lake water levels are insensitive to high growing season rainfall inputs (about 10 to 47 percent above the seasonal median); lake water levels consistently declined about by 0.8 feet above this range of seasonal excessive precipitation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265132","collaboration":"Prepared in cooperation with New York State Department of Parks, Recreation and Historic Preservation","usgsCitation":"Heisig, P.M., 2026, Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York: U.S. Geological Survey Scientific Investigations Report 2026–5132, 55 p., https://doi.org/10.3133/sir20265132.","productDescription":"Report: viii, 55 p., 3 Data Releases","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148237","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5132/coverthb.jpg"},{"id":503899,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119387.htm","linkFileType":{"id":5,"text":"html"}},{"id":503541,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R49VRO","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Moreau Lake area, town of Moreau, N.Y."},{"id":503540,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K0LSHJ","text":"USGS data release","linkHelpText":"Hydrologic data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503539,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JPZ1R5","text":"USGS data release","linkHelpText":"Geospatial data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503538,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5132/images"},{"id":503537,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.XML","description":"SIR 2026-5132 XML"},{"id":503536,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265132/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5132 HTML"},{"id":503534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.pdf","text":"Report","size":"36.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5132 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Moreau Lake, Moreau Lake State Park, Town of Moreau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.7367112856191,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.25254327180468\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Mudboils have been documented in the Tully Valley in southern Onondaga County, New York, since the late 1890s. Sediment-laden water from the mudboils flows into Onondaga Creek, which empties into Onondaga Lake at Syracuse 15 miles to the north. Turbidity from the mudboils has degraded the water quality of Onondaga Creek despite a series of mitigation efforts that began in the early 1990s. Turbidity mitigation actions presently (2025) being considered include creek relocation and offline sediment settling. In support of these proposed actions during 2021–23, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board, collected and analyzed geologic, hydrologic, geophysical, and geotechnical data to characterize the shallow hydrogeology along four proposed creek-relocation paths and in the proposed offline settling basin area.
The investigation indicated that the four proposed creek-relocation paths, two east of Onondaga Creek and two west of Onondaga Creek, are underlain by sediments including muck, alluvium, mudboil deposits, alluvial-fan sand and gravel, and lacustrine fines. The proposed excavations would penetrate partially to fully saturated conditions: generally, the water table is shallow near the creek and deep on the alluvial fans. The shallowest excavation, about 5 feet below land surface, would be near the creek and primarily in alluvium, and the deepest excavation, as much as 30 feet below land surface, would be in the alluvial-fan deposits. Brackish waters would be penetrated by proposed channel excavations on the eastern side of Onondaga Creek in an area downgradient from a potentially leaking historical salt-exploration borehole and near the main mudboil area. Excavation in these areas likely would provide a continuous source of brackish groundwater to the relocated creek. Proposed channel excavations of muck, soft to very soft lacustrine fines, and mudboil-type sediments in mudboil and suspected mudboil areas would pose an excavation and slope stability challenge and would have the greatest potential to create new mudboils. Proposed channel excavations below the water table on the Rattlesnake Gulf and Rainbow Creek alluvial fans would intercept groundwater and make the constructed streambank susceptible to seepage-induced slope instability. The substantial water-level fluctuation in the sediments of both alluvial fans would aggravate the stability condition. In addition, excavation on the Rattlesnake Gulf alluvial fan would have the potential to affect water-supply springs at the toe of the fan.
The proposed offline settling basin area is in the northern part of the Rattlesnake Gulf alluvial fan. Natural and man-made diversions of Rattlesnake Gulf have resulted in saturated conditions in the general area of the proposed basin. The proposed offline settling basin would be excavated in, and berms would be constructed on, alluvial-fan deposits and lacustrine fines. In the proposed basin area, the alluvial deposits overlying the lacustrine fines are less than 10 feet thick. Excavation, berm construction, and loading of the saturated, soft to very soft lacustrine fines may be problematic and require soil strengthening.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265129","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board","usgsCitation":"Williams, J.H., Terry, N.C., Kappel, W.M., Heisig, P.M., Glas, R.L., and Woda, J.C., 2026, Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2026–5129, 58 p., https://doi.org/10.3133/sir20265129.","productDescription":"Report: ix, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160204","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119386.htm","linkFileType":{"id":5,"text":"html"}},{"id":502792,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5129/images"},{"id":502793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149P35X","text":"USGS data release","linkHelpText":"Surface-geophysical, geotechnical, hydraulic-slug test, specific conductance, and geospatial data for shallow hydrogeologic investigations of the Tully Valley mudboil area, Onondaga County, New York"},{"id":502791,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.XML","description":"SIR 2026-5129 XML"},{"id":502790,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265129/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5129 HTML"},{"id":502789,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5129/coverthb2.jpg"},{"id":502786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5129 PDF"}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Tully Valley Mudboil Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.30484467796983,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 43.13842576064047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Mountain regions are highly climate-sensitive, yet long-term observational evidence of elevation and seasonal climate dynamics in Central Asia remains limited. This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (<400 m) to high mountains (>1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade−1, peaking at 0.36 °C decade−1 above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing >0.60 °C decade−1 (approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade−1), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade−1, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.
","language":"English","publisher":"MDPI","doi":"10.3390/w18091046","usgsCitation":"Duisebek, B., Senay, G.B., Usmanov, T., Kyrgyzbay, K., Sagin, J., Mukanov, Y., Samarkhanov, K., Wang, X., Danierhan, S., and Pan, X., 2026, Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia: Water, v. 18, no. 9, 1046, 26 p., https://doi.org/10.3390/w18091046.","productDescription":"1046, 26 p.","ipdsId":"IP-187896","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":503778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18091046","text":"Publisher Index 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The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255047","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.","productDescription":"Report: viii, 38 p.; 2 Tables; Data Release","onlineOnly":"Y","ipdsId":"IP-140049","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":503285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5047"},{"id":504484,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5047"},{"id":504422,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.xml"},{"id":504421,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5047/images"},{"id":503897,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119385.htm","linkFileType":{"id":5,"text":"html"}},{"id":503290,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.2.csv","text":"Table 1.2","size":"16.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 2","linkHelpText":"Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019"},{"id":503284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5047/coverthb.jpg"},{"id":503289,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.1.csv","text":"Table 1.1","size":"72.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 1","linkHelpText":"Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019"},{"id":503286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5AMFV","text":"USGS data release","linkHelpText":"Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019"}],"country":"United States","state":"Colorado","otherGeospatial":"central and western Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5157587,\n 37.0336449\n ],\n [\n -104.2371905,\n 37.7437419\n ],\n [\n -104.4345097,\n 38.3014981\n ],\n [\n -104.9220039,\n 39.2695668\n ],\n [\n -104.5737937,\n 39.5207192\n ],\n [\n -104.8523603,\n 41.026094\n ],\n [\n -109.0540968,\n 40.9910589\n ],\n [\n -109.0557679,\n 37.0087015\n ],\n [\n -104.5157587,\n 37.0336449\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
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Cyanobacterial harmful algal blooms (cyanoHABs) pose risks to human and animal health.
We investigated the relationship between cyanoHABs and asthma or wheeze-related emergency department (ED) visits near three Wisconsin cities (Green Bay, Madison, and Oshkosh) during 2017–2019. CyanoHAB exposure was approximated using the Cyanobacterial Assessment Network remotely sensed satellite indicator of cyanobacterial biomass, a chlorophyl algorithm (ChlBS) aggregated by water-adjacent ZIP Code Tabulation Areas (ZCTA), and distance weighted from the nearest waterbody. Weekly counts of ED visits for asthma or wheeze were aggregated by ZCTA. Poisson generalized linear models estimated the association between the weekly number of ED visits and weekly ChlBS, adjusting for maximum temperature, dewpoint, fine particulate matter (PM2.5), month, and correlation within ZCTA.
During 2017–2019, 7,057 ED visits for asthma or wheeze occurred in the study area (42 ZCTAs). Peaks in ChlBS occurred between June and October, with higher values in Lake Winnebago and Lake Mendota compared to Green Bay. ChlBS was not associated with ED visits for asthma or wheeze (adjusted rate ratio = 1.00, 95% confidence interval = 0.99, 1.00), and the presence of onshore winds did not change this result. Monthly aggregations of ED visits and ChlBS showed a monotonic trend between increasing ChlBS and ED visits during July–September.
This study demonstrates the utility of remote sensing data in environmental health research. Future studies could explore individual-level exposure and outcomes to refine health risks associated with cyanoHABs.
","language":"English","publisher":"Wolters Kluwer","doi":"10.1097/EE9.0000000000000439","collaboration":"Center for Disease Control and Prevention, Wisconsin Dept of Health Services, United States Environmental Protection Agency, National Aeronautics and Space Administration, Morgan State University","usgsCitation":"Lavery, A.M., Murray, J., Pennington, A.F., Schaeffer, B., Seegers, B., Hilborn, E.D., Loftin, K., Scroggins, S., and Backer, L., 2026, Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017–2019: Environmental Epidemiology, v. 10, no. 3, e439, https://doi.org/10.1097/EE9.0000000000000439.","productDescription":"e439","ipdsId":"IP-178648","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":503551,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503769,"rank":1,"type":{"id":40,"text":"Open Access 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Jordan","contributorId":289441,"corporation":false,"usgs":false,"family":"Murray","given":"Jordan","email":"","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":960300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pennington, Audrey F.","contributorId":334289,"corporation":false,"usgs":false,"family":"Pennington","given":"Audrey","email":"","middleInitial":"F.","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":960301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Blake","contributorId":269872,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":960302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seegers, Bridget","contributorId":291792,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":960303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilborn, Elizabeth D.","contributorId":334290,"corporation":false,"usgs":false,"family":"Hilborn","given":"Elizabeth","email":"","middleInitial":"D.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":960304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftin, Keith 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221958,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":960305,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scroggins, Stephen","contributorId":370413,"corporation":false,"usgs":false,"family":"Scroggins","given":"Stephen","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":960306,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Backer, Lorraine","contributorId":334295,"corporation":false,"usgs":false,"family":"Backer","given":"Lorraine","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":960307,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","interactions":[{"subject":{"id":70262007,"text":"70262007 - 2025 - Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022","indexId":"70262007","publicationYear":"2025","noYear":false,"title":"Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022"},"predicate":"SUPERSEDED_BY","object":{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","indexId":"70275332","publicationYear":"2026","noYear":false,"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022"},"id":1}],"lastModifiedDate":"2026-04-29T15:01:54.607734","indexId":"70275332","displayToPublicDate":"2026-04-22T09:57:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6465,"text":"Journal of American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","docAbstract":"Illinois contributes substantial nutrient loads to the Gulf of America, warranting watershed-scale assessment. This study estimated nitrate-nitrogen (nitrate-N) and total phosphorus (TP) loads and yields for 49 Illinois 8-digit hydrologic unit code (HUC8) watersheds draining to the Mississippi River Basin from 1997–2022, comparing recent (2018–2022) to baseline (1997–2011) conditions. Estimates included point and nonpoint source contributions, dissolved phosphorus, and water yields. During the recent period, nonpoint sources dominated nutrient export (82% nitrate-N, 78% TP), though point sources drove high yields in the Chicago area. Spatially, nonpoint source nutrient hotspots persisted with nitrate-N yields highest in east-central and northern Illinois and TP yields higher in southern and western Illinois. Temporally, statewide nitrate-N loads decreased 9%, while TP loads increased 27%. Nitrate-N yields increased in 22 HUC8s and decreased in 20, while TP yields increased in 32 HUC8s and decreased in 9. For both nutrients, baseline yields were negatively correlated with yield changes, indicating high-yielding watersheds tended toward larger decreases or smaller increases. Water yields increased 19% on average but were weakly correlated with nutrient yield changes (r = 0.23 and 0.20 for nitrate-N and TP). These results reveal spatially persistent yet temporally divergent nutrient export across Illinois, with contrasting nitrate-N and TP trajectories for nonpoint sources.
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0000-0001-7761-6231","orcid":"https://orcid.org/0000-0001-7761-6231","contributorId":370630,"corporation":false,"usgs":false,"family":"McIsaac","given":"Gregory","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":960594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275144,"text":"tm5E1 - 2026 - Standardized method for logging drill core at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2026-04-21T14:52:03.318781","indexId":"tm5E1","displayToPublicDate":"2026-04-21T09:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-E1","displayTitle":"Standardized Method for Logging Drill Core at the Idaho National Laboratory, Idaho","title":"Standardized method for logging drill core at the Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey’s (USGS) Lithologic Core Storage Library (CSL) at the Idaho National Laboratory stores more than 120,000 feet of drill core that is accessible to the public for research and sampling. To effectively convey the physical and descriptive properties of the drill core, USGS staff at the Idaho National Laboratory Project Office log the drill core and publish the lithologic logs as data releases. The logs provide essential data on the lithology, texture, mineralogy, alteration, and other physical properties of the core, which serve as valuable information for researchers to guide their research and sampling efforts. To ensure consistent, quality, and dependable lithologic logs, this document outlines the procedures and expectations for logging drill core at the CSL. This document describes the processes for storing, photographing, and logging core, and includes a variety of resources, reference materials, and appendixes designed to standardize and aid the logging process. Following the procedures outlined in this document will produce consistent, detailed logs that facilitate dependable observations and serve as an easy reference for researchers and other interested parties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5E1","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Dietz, H., 2026, Standardized method for logging drill core at the Idaho National Laboratory, Idaho: U.S. Geological Survey Techniques and Methods, book 5, chapter E1, 54 p., https://doi.org/10.3133/tm5E1.","productDescription":"Report: vi, 54 p.; 2 Appendixes","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159218","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":502933,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/05/e1/images/"},{"id":502932,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 5-E1 XML"},{"id":502931,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm5E1/full","linkFileType":{"id":5,"text":"html"},"description":"TM 5-E1 HTML"},{"id":502930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.pdf","size":"5.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-E1 PDF"},{"id":502929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/e1/coverthb.jpg"},{"id":503257,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1.xlsx","text":"Appendix 1","size":"57 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Digital Logbook"},{"id":503266,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1_csv.xlsx","text":"Appendix 1","size":"4.86 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Digital Logbook (in CSV format)"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.25,\n 44\n ],\n [\n -112.4,\n 44\n ],\n [\n -112.4,\n 43.333\n ],\n [\n -113.25,\n 43.333\n ],\n [\n -113.25,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, ID 83702-4520
The U.S. Geological Survey (USGS) manages the Lithologic Core Storage Library (CSL) at Idaho National Laboratory in southeastern Idaho. The CSL stores drill core, which are long cylinders of rock that have been removed from the subsurface of the Earth through drilling. USGS staff describe these drill cores in detail to create lithologic logs, which record features of the drill core like rock type, mineralogy, and appearance. This report explains how to describe drill cores at the CSL so that the lithologic logs are consistent and dependable. The report also includes helpful tools and resources like charts and dictionaries. Following the steps outlined in this report ensures that researchers have detailed and reliable information about the subsurface geology of southeastern Idaho.
","publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietz, Haley M. 0000-0001-9741-9366","orcid":"https://orcid.org/0000-0001-9741-9366","contributorId":350974,"corporation":false,"usgs":true,"family":"Dietz","given":"Haley","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959641,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276244,"text":"70276244 - 2026 - Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","interactions":[],"lastModifiedDate":"2026-05-20T14:13:52.678977","indexId":"70276244","displayToPublicDate":"2026-04-21T08:56:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","docAbstract":"In 2014, California's Sustainable Groundwater Management Act (SGMA) mandated local agencies to devise and implement groundwater sustainability plans to address critically overdrafted conditions throughout the state's aquifers. However, the feasibility of these agencies' sustainability goals has not previously been assessed through a regional-scale, integrative lens. Here, we develop and analyze a novel, basin-wide database of 936 sustainability indicator wells located within Central Valley subbasins designated as critically overdrafted, most of which lie in the San Joaquin Valley. Our database shows 2040 groundwater elevation goals vary widely from 60 m above to 80 m below 2020 levels, with variability within and between adjacent subbasins. To evaluate the feasibility of achieving these goals, we coupled the database with a regional hydrologic model (Central Valley Hydrologic Model version 2) and simulated multiple future pumping scenarios. Results show that under increased groundwater demand, 60%–70% of indicator wells may fail to meet their 2040 goals. Even a 50% reduction from 2020 demand levels leaves nearly 40% of wells failing to meet their sustainability thresholds by 2040. Baseline models show that by 2070, up to 70% of wells could fail to meet their goals due to large-scale, spatially connected regions of groundwater depletion. This integrated framework, linking the first region-wide compilation of SGMA indicator wells with a regional groundwater model, demonstrates that many local sustainability goals may be unattainable with substantial (up to 50%) reductions in pumping. Additional management interventions, such as expanded recharge or coordinated demand reductions, may help achieve sustainability goals.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040639","usgsCitation":"Platt, L., Weingarten, M., Faunt, C., Traum, J.A., and Boyce, S., 2026, Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070): Water Resources Research, v. 62, no. 4, e2025WR040639, 21 p., https://doi.org/10.1029/2025WR040639.","productDescription":"e2025WR040639, 21 p.","ipdsId":"IP-177585","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040639","text":"Publisher Index Page"},{"id":504548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.4080957,\n 34.9782649\n ],\n [\n -117.4924999,\n 36.0958145\n ],\n [\n -121.8550448,\n 40.6736669\n ],\n [\n -122.9860749,\n 40.4691133\n ],\n [\n -121.8550448,\n 38.0720337\n ],\n [\n -119.7007016,\n 35.484185\n ],\n [\n -118.4080957,\n 34.9782649\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Platt, Logan 0009-0009-3390-8043","orcid":"https://orcid.org/0009-0009-3390-8043","contributorId":371426,"corporation":false,"usgs":true,"family":"Platt","given":"Logan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Mathew 0000-0002-1289-5935","orcid":"https://orcid.org/0000-0002-1289-5935","contributorId":371427,"corporation":false,"usgs":false,"family":"Weingarten","given":"Mathew","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":961808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275163,"text":"sir20265136 - 2026 - Assessment of groundwater quantity and quality contributions to Lake Huron","interactions":[],"lastModifiedDate":"2026-04-24T18:36:33.989868","indexId":"sir20265136","displayToPublicDate":"2026-04-20T14:45:02","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":"2026-5136","displayTitle":"Assessment of Groundwater Quantity and Quality Contributions to Lake Huron","title":"Assessment of groundwater quantity and quality contributions to Lake Huron","docAbstract":"Lake Huron, one of the five Great Lakes, borders the United States and Canada, with Michigan as the only U.S. State on its shoreline. Like other freshwater lakes, it faces water-quality challenges from nutrients and chemicals applied across its drainage basin. Although past studies focused on surface-water sources, groundwater contributions remain less understood. To address this gap, the U.S. Geological Survey, as part of the Cooperative Science and Monitoring Initiative, classified drainage basins to Lake Huron into eight hydrogeologic zones based on bedrock rock type and glacial sediment transmissivity. Utilizing existing data and empirical field data, we quantified groundwater discharge and identified areas of concern for loading of chloride and nitrate to Lake Huron. Groundwater contributions, including indirect and shoreline discharge, ranged from 5.8 to 11.5 inches annually, totaling 1.9 cubic miles and 0.09 cubic mile, respectively. Hydrogeologic zones with higher glacial sediment transmissivity yielded greater indirect groundwater discharge. Chloride levels above the U.S. Environmental Protection Agency’s 250-mg/L recommendation were mainly in the Saginaw lowlands, whereas nitrate above the 10-mg/L standard was rare—found in only 11 wells. Together, the analysis of where groundwater discharge is occurring in the Lake Huron Basin and the identification of areas with potential groundwater-quality concerns can help prioritize areas that are critical to protecting the long-term health of Lake Huron.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265136","collaboration":"Prepared in cooperation with the Great Lakes Cooperative and Science Monitoring Initiative","usgsCitation":"Kaemming, B.B., Ford, C.M., and Martin, S.L., 2026, Assessment of groundwater quantity and quality contributions to Lake Huron: U.S. Geological Survey Scientific Investigations Report 2026–5136, 41 p., https://doi.org/10.3133/sir20265136.","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-174874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503529,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119372.htm","linkFileType":{"id":5,"text":"html"}},{"id":503229,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P133AHTG","text":"USGS data release","linkHelpText":"Data to improve the understanding of groundwater quantity and quality contributions to Lake Huron"},{"id":503228,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5136/images/"},{"id":503227,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5136/sir20265136.XML","description":"SIR 2026–5136 XML"},{"id":503226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5136/sir20265136.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026–5136 PDF"},{"id":503225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5136/coverthb.jpg"},{"id":503230,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265136/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026–5136 HTML"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.8593869,\n 46.759902\n ],\n [\n -82.56847017910663,\n 46.759902\n ],\n [\n -82.56847017910663,\n 42.11813735680883\n ],\n [\n -85.8593869,\n 42.11813735680883\n ],\n [\n -85.8593869,\n 46.759902\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Lake Huron is one of the five Great Lakes and is solely bordered by the State of Michigan on the U.S. side of the lake. Nutrients like nitrate and chemicals like chloride are commonly applied to the land surface in the form of agricultural fertilizers and road salts. Nutrients and chemicals can then be transported to downstream water bodies, such as Lake Huron, through streams and groundwater flow. However, neither the volume of groundwater nor the nutrients and chemicals it contributes to Lake Huron are well understood. As part of the Cooperative Science and Monitoring Initiative program, the goals of this study were to assess how much groundwater annually enters Lake Huron and identify if groundwater may be causing nitrate or chloride contamination to Lake Huron. In this study, we quantified groundwater contributions to Lake Huron for drainage areas with similar geology, analyzed existing datasets of groundwater quality with respect to nitrate and chloride, and collected field samples to compare to the other analyses. The results showed that most of the groundwater entering Lake Huron came from groundwater that discharges to streams that flow into the lake, and smaller amounts of groundwater enter Lake Huron through groundwater that directly discharges to the lake shore. Chloride was found to be a greater contaminant risk to Lake Huron because elevated chloride was identified in many groundwater samples from both the bedrock and glacial aquifers. Nitrate was less prevalent in the groundwater samples analyzed. Most groundwater samples did not have detectable levels of nitrate, and the samples that did were primarily from groundwater in the glacial aquifer that lay under agricultural areas.
","publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaemming, Bridget B. 0009-0000-7163-2126","orcid":"https://orcid.org/0009-0000-7163-2126","contributorId":306251,"corporation":false,"usgs":true,"family":"Kaemming","given":"Bridget","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Chanse M. 0000-0002-7159-5051","orcid":"https://orcid.org/0000-0002-7159-5051","contributorId":347040,"corporation":false,"usgs":true,"family":"Ford","given":"Chanse","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Sherry L. 0000-0001-7471-0476","orcid":"https://orcid.org/0000-0001-7471-0476","contributorId":343444,"corporation":false,"usgs":true,"family":"Martin","given":"Sherry","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275320,"text":"70275320 - 2026 - A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream","interactions":[],"lastModifiedDate":"2026-04-29T14:14:57.192235","indexId":"70275320","displayToPublicDate":"2026-04-20T09:06:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream","docAbstract":"Contaminants found in treated wastewater discharged to streams, including pharmaceuticals and per- and polyfluoroalkyl substances (PFAS), are of global concern due to their deleterious effects on aquatic ecosystems and potential impacts to human health. Hyporheic zones have strong potential for contaminant attenuation. Assessing this potential requires collection of physical and biogeochemical data within the hyporheic zone. This study tested the applicability of a novel drive-point multilevel system (DP-MLS) for quantifying head profiles and characterizing contaminant concentrations in the hyporheic zone of a temperate region effluent dominated stream (EDS). DP-MLS, each with 4 ports, were installed in the stream bed at two sites, DS-1 and DS-2, 0.2 and 4.7 km downstream of the effluent outfall, respectively. Head profiles were measured and groundwater collected for analysis of pharmaceuticals and PFAS temporally over two years. The DP-MLS withstood rapid changes in stage, ice formation, and floating debris. Vertical hydraulic gradients (VHG) were generally upward but varied in magnitude indicating heterogeneity in hydraulic conductivity and variability in flow conditions. Upward VHG were also about 2X larger at DS-1 than at DS-2. Contaminant concentration profiles consistently showed penetration of pharmaceuticals and PFAS to 1 m below the bed at DS-2 while there was less penetration, lower groundwater concentrations, and more temporal variability in concentrations at DS-1. Integration of the physical and chemical data suggests weaker upwelling conditions at DS-2 are more easily reversed during periods of high stream stage, which could facilitate migration of wastewater contaminants into the bed. However, further studies incorporating other transport processes and reach scale dynamics are required to fully characterize these exchanges. Overall, this study demonstrates the efficacy of these novel DP-MLSs for characterization of the hyporheic zone and provides new insights into the occurrence, composition, and persistence of wastewater derived contaminants in the hyporheic zone of a well-studied EDS.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70517","usgsCitation":"Meyer, J.R., Mianecki, A.L., Occhi, E., Kolpin, D., and LeFevre, G.H., 2026, A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream: Hydrological Processes, v. 40, no. 4, e70517, 20 p., https://doi.org/10.1002/hyp.70517.","productDescription":"e70517, 20 p.","ipdsId":"IP-182710","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70517","text":"Publisher Index Page"},{"id":503619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Iowa","county":"Johnson County","otherGeospatial":"Muddy Creek","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.3677,41.8603],[-91.3673,41.7745],[-91.3675,41.6855],[-91.3671,41.5987],[-91.3679,41.5107],[-91.3687,41.4235],[-91.4839,41.4222],[-91.4843,41.4286],[-91.492,41.4405],[-91.5033,41.4493],[-91.5026,41.452],[-91.4989,41.4538],[-91.4988,41.4592],[-91.5145,41.4676],[-91.5156,41.4704],[-91.5136,41.4767],[-91.5038,41.4779],[-91.5029,41.4874],[-91.5039,41.4933],[-91.5076,41.4939],[-91.5107,41.4944],[-91.5112,41.4971],[-91.508,41.5016],[-91.5098,41.5034],[-91.5117,41.5016],[-91.5148,41.4985],[-91.5197,41.4981],[-91.5196,41.5027],[-91.5281,41.5078],[-91.528,41.511],[-91.5991,41.5107],[-91.7138,41.511],[-91.8291,41.5116],[-91.827,41.6001],[-91.8337,41.6006],[-91.8335,41.6865],[-91.8327,41.775],[-91.8318,41.8617],[-91.716,41.862],[-91.5989,41.8612],[-91.4836,41.8608],[-91.3677,41.8603]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"IA\"}}]}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, J. R.","contributorId":370596,"corporation":false,"usgs":false,"family":"Meyer","given":"J.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mianecki, A. L.","contributorId":370597,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Occhi, E.","contributorId":370598,"corporation":false,"usgs":false,"family":"Occhi","given":"E.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeFevre, G. H.","contributorId":370599,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}