{"pageNumber":"52","pageRowStart":"1275","pageSize":"25","recordCount":68802,"records":[{"id":70259813,"text":"70259813 - 2024 - Coastal wetlands in the Anthropocene","interactions":[],"lastModifiedDate":"2024-10-25T15:42:09.720904","indexId":"70259813","displayToPublicDate":"2024-10-01T10:39:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"Coastal wetlands in the Anthropocene","docAbstract":"<p><span>We review the functioning and sustainability of coastal marshes and mangroves. Urbanized humans have a 7,000-year-old enduring relationship to coastal wetlands. Wetlands include marshes, salt flats, and saline and freshwater forests. Coastal wetlands occur in all climate zones but are most abundant in deltas. Mangroves are tropical, whereas marshes occur from tropical to boreal areas. Quantification of coastal wetland areas has advanced in recent years but is still insufficiently accurate. Climate change and sea-level rise are predicted to lead to significant wetland losses and other impacts on coastal wetlands and the humans associated with them. Landward migration and coastal retreat are not expected to significantly reduce coastal wetland losses. Nitrogen watershed inputs are unlikely to alter coastal marsh stability because watershed loadings are mostly significantly lower than those in fertilization studies that show decreased belowground biomass and increased decomposition of soil organic matter. Blue carbon is not expected to significantly reduce climate impacts. The high values of ecosystem goods and services of wetlands are expected to be reduced by area losses. Humans have had strong impacts on coastal wetlands in the Holocene, and these impacts are expected to increase in the Anthropocene.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-121922-041109","usgsCitation":"Day, J.W., Anthony, E., Costanza, R., Edmonds, D., Gunn, J., Hopkinson, C., Mann, M., Morris, J., Osland, M., Quirk, T., Rovai, A.S., Rybczyk, J.M., Spencer, T., Stephens, J., Syvitski, J., Twilley, R.R., Visser, J., and White, J.R., 2024, Coastal wetlands in the Anthropocene: Annual Review of Environment and Resources, v. 49, p. 105-135, https://doi.org/10.1146/annurev-environ-121922-041109.","productDescription":"31 p.","startPage":"105","endPage":"135","ipdsId":"IP-158374","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466885,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-environ-121922-041109","text":"Publisher Index Page"},{"id":463196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Day, John W.","contributorId":200323,"corporation":false,"usgs":false,"family":"Day","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":916785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Edward","contributorId":345502,"corporation":false,"usgs":false,"family":"Anthony","given":"Edward","email":"","affiliations":[{"id":82607,"text":"Aix Marseille U, Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":916786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costanza, Robert","contributorId":345503,"corporation":false,"usgs":false,"family":"Costanza","given":"Robert","affiliations":[{"id":82609,"text":"Institute for Global Prosperity, University College London, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":916787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmonds, Douglas","contributorId":345504,"corporation":false,"usgs":false,"family":"Edmonds","given":"Douglas","email":"","affiliations":[{"id":82610,"text":"Dept. of Earth and Atmospheric Sciences, Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":916788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunn, Joel","contributorId":345505,"corporation":false,"usgs":false,"family":"Gunn","given":"Joel","email":"","affiliations":[{"id":82611,"text":"Dept. of Anthropology, University of North Carolina Greensboro, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":916789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hopkinson, Charles","contributorId":224758,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","affiliations":[{"id":40936,"text":"U. 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Ecology and Zoology, Brazil","active":true,"usgs":false}],"preferred":false,"id":916795,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rybczyk, John M","contributorId":257932,"corporation":false,"usgs":false,"family":"Rybczyk","given":"John","email":"","middleInitial":"M","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":916796,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spencer, Thomas","contributorId":216288,"corporation":false,"usgs":false,"family":"Spencer","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":916797,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stephens, Jessica","contributorId":345507,"corporation":false,"usgs":false,"family":"Stephens","given":"Jessica","email":"","affiliations":[{"id":82613,"text":"Dept. of Environmental Sciences, Louisiana State University, Baton Rouge, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":916798,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Syvitski, Jaia","contributorId":237738,"corporation":false,"usgs":false,"family":"Syvitski","given":"Jaia","email":"","affiliations":[],"preferred":false,"id":916799,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":916800,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Visser, Jenneke","contributorId":145631,"corporation":false,"usgs":false,"family":"Visser","given":"Jenneke","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":916801,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"White, John R.","contributorId":304473,"corporation":false,"usgs":false,"family":"White","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":66084,"text":"Dept. of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":916802,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70266334,"text":"70266334 - 2024 - Appendix D-4: USGS water resource investigations and activities","interactions":[],"lastModifiedDate":"2026-03-17T14:40:39.669903","indexId":"70266334","displayToPublicDate":"2024-10-01T09:24:48","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Appendix D-4: USGS water resource investigations and activities","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The 2023 annual report of the International Red River Watershed Board","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"International Joint Commission","usgsCitation":"Thomas, D.C., 2024, Appendix D-4: USGS water resource investigations and activities, 12 p.","productDescription":"12 p.","startPage":"118","endPage":"129","ipdsId":"IP-167477","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":485364,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ijc.org/en/rrb/irrwb-annual-report-2023"},{"id":501213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Daniel C. 0009-0005-7051-9670","orcid":"https://orcid.org/0009-0005-7051-9670","contributorId":354437,"corporation":false,"usgs":true,"family":"Thomas","given":"Daniel","middleInitial":"C.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":935653,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259243,"text":"70259243 - 2024 - Declines in brook trout abundance linked to atmospheric warming in Maryland, USA","interactions":[],"lastModifiedDate":"2024-10-02T13:44:49.727247","indexId":"70259243","displayToPublicDate":"2024-10-01T08:36:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Declines in brook trout abundance linked to atmospheric warming in Maryland, USA","docAbstract":"<p><span>Salmonid fishes provide an important indicator of climate change given their reliance on cold water. We evaluated temporal changes in the density of stream-dwelling brook trout (</span><span class=\"html-italic\">Salvelinus fontinalis</span><span>) from surveys conducted over a 36-year period (1988–2023) by the Maryland Department of Natural Resources in Eastern North America. Nonparametric trend analyses revealed decreasing densities of adult fish (age 1+) in 19 sites (27%) and increases in 5 sites (7%). In contrast, juvenile fish (age 0) densities decreased in 4 sites (6%) and increased in 10 sites (14%). Declining adult brook trout trends were related to atmospheric warming rates during the study period, and this relationship was stronger than the effects of land use change or non-native brown trout. In contrast, juvenile fish trends generally increased with elevation but were not related to air temperature trends or land use change. Our analysis reveals significant changes in several brook trout populations over recent decades and implicates warming atmospheric conditions in population declines. Our findings also suggest the importance of temperature for adult survival rather than recruitment limitation in brook trout population dynamics.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology3040019","usgsCitation":"Hitt, N.P., Rogers, K.M., and Kelly, Z.A., 2024, Declines in brook trout abundance linked to atmospheric warming in Maryland, USA: Hydrobiology, v. 3, no. 4, p. 310-324, https://doi.org/10.3390/hydrobiology3040019.","productDescription":"15 p.","startPage":"310","endPage":"324","ipdsId":"IP-167192","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology3040019","text":"Publisher Index Page"},{"id":462478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.47357981579292,\n              39.72563602937481\n            ],\n            [\n              -79.47357981579292,\n              39.14605298237868\n            ],\n            [\n              -76.54141330247968,\n              39.14605298237868\n            ],\n            [\n              -76.54141330247968,\n              39.72563602937481\n            ],\n            [\n              -79.47357981579292,\n              39.72563602937481\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":914544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":914545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Zachary A. 0000-0003-4684-2345","orcid":"https://orcid.org/0000-0003-4684-2345","contributorId":222459,"corporation":false,"usgs":true,"family":"Kelly","given":"Zachary","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":914546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261924,"text":"70261924 - 2024 - Fall 2024","interactions":[],"lastModifiedDate":"2025-01-03T14:38:01.270477","indexId":"70261924","displayToPublicDate":"2024-10-01T08:35:00","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10554,"text":"Watermarks New England Water Science Center Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Fall 2024","docAbstract":"<p><span>This issue highlights our long history of outreach on Cape Cod in an article and video. It also features a story about our crest-stage gage network in Vermont, which provisionally hit high-water records during flash floods this summer. Also, we discuss a USGS study that examined trends of extreme low-flows across multiple continents.&nbsp;</span></p>","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Rossos, K., 2024, Fall 2024: Watermarks New England Water Science Center Newsletter, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-171574","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":465623,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cms.usgs.gov/watermarks-new-england-wsc-newsletters/watermarks-newsletter-fall-2024"},{"id":465624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rossos, Katrina 0000-0002-3819-4344","orcid":"https://orcid.org/0000-0002-3819-4344","contributorId":331723,"corporation":false,"usgs":true,"family":"Rossos","given":"Katrina","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922291,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259122,"text":"sir20245081 - 2024 - Evaluation of the lakes and impoundments drought index for the Massachusetts Drought Management Plan","interactions":[],"lastModifiedDate":"2025-12-23T21:58:56.305428","indexId":"sir20245081","displayToPublicDate":"2024-09-30T09:48:00","publicationYear":"2024","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":"2024-5081","displayTitle":"Evaluation of the Lakes and Impoundments Drought Index for the Massachusetts Drought Management Plan","title":"Evaluation of the lakes and impoundments drought index for the Massachusetts Drought Management Plan","docAbstract":"<p>The condition of surface water storage in lakes and impoundments is used as an index of drought in the Massachusetts drought management plan. The U.S. Geological Survey visited 28 of these lakes and impoundments at 14 single and multiple waterbody systems to evaluate their appropriateness for characterizing drought. The data collection and computation methods at each system were then reviewed and checked for consistency. The types of historical monthly data available varied by system and included water surface elevation, depth of water below the spillway, volume, or reservoir capacity (percent full). For this analysis, water surface elevations and reservoir capacities were converted to volumes to assess the interannual variability in lake volumes. As a second level of assessment, analysis was also done on water surface elevation variability. Systems that did not have enough differentiation in monthly values between lake volume or water surface elevations to clearly demarcate drought levels were identified as unsuitable for use in the drought index for that month. This report discusses the limitations of using the reviewed lakes and impoundments as a drought index, as well as a list of best practices for data collection techniques to improve the confidence and reliability of the data collected.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245081","collaboration":"Prepared in cooperation with the Massachusetts Executive Office of Energy and Environmental Affairs","usgsCitation":"Smith, T.L., 2024, Evaluation of the lakes and impoundments drought index for the Massachusetts Drought Management Plan: U.S. Geological Survey Scientific Investigations Report 2024–5081, 19 p., https://doi.org/10.3133/sir20245081.","productDescription":"Report: vi, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158999","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Background</li><li>System Descriptions</li><li>Historical Data</li><li>Methods</li><li>Results</li><li>Limitations of the Drought Severity Level</li><li>Best Practices for Data Collection</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-09-30","noUsgsAuthors":false,"publicationDate":"2024-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Travis L. 0000-0002-3448-2787 tlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-2787","contributorId":297400,"corporation":false,"usgs":true,"family":"Smith","given":"Travis","email":"tlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914248,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259545,"text":"70259545 - 2024 - Statistical analysis of Lake Tahoe secchi depth data","interactions":[],"lastModifiedDate":"2024-10-11T13:57:27.121649","indexId":"70259545","displayToPublicDate":"2024-09-30T08:52:09","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Statistical analysis of Lake Tahoe secchi depth data","docAbstract":"<p>Secchi depth measurements in Lake Tahoe have been collected at a Long-Term Profile (LTP) monitoring site since 1968. Periodic updates in Secchi trend analysis are needed to understand changes in the long-term record, changes in seasonal pattern, and to provide insight into the progress of restoration efforts in improving lake clarity. As such, this analysis is intended to evaluate the long-term and seasonal clarity conditions by updating the analysis by Jassby and others, (1999) and to demonstrate the use of statistical measures as metrics for comparing ongoing monitoring data (Watanabe, 2024). </p>","language":"English","publisher":"Tahoe Science Advisory Council","usgsCitation":"Naranjo, R.C., 2024, Statistical analysis of Lake Tahoe secchi depth data, 16 p.","productDescription":"16 p.","ipdsId":"IP-168331","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":462818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.tahoesciencecouncil.org/project-list","linkFileType":{"id":5,"text":"html"}},{"id":462826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.11446470824197,\n              39.21366571450457\n            ],\n            [\n              -120.16965242081064,\n              39.102249370483676\n            ],\n            [\n              -120.08208791686843,\n              38.932606385440636\n            ],\n            [\n              -119.94227904502787,\n              38.933750744029425\n            ],\n            [\n              -119.93050566634669,\n              39.25014399290501\n            ],\n            [\n              -120.0666353573491,\n              39.24444253042536\n            ],\n            [\n              -120.11446470824197,\n              39.21366571450457\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261569,"text":"70261569 - 2024 - Elemental composition and potential toxicity of the riverine macrophyte Podostemum ceratophyllum Michx. reflects land use in eastern North America","interactions":[],"lastModifiedDate":"2024-12-16T15:09:37.031728","indexId":"70261569","displayToPublicDate":"2024-09-28T09:02:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Elemental composition and potential toxicity of the riverine macrophyte <i>Podostemum ceratophyllum</i> Michx. reflects land use in eastern North America","title":"Elemental composition and potential toxicity of the riverine macrophyte Podostemum ceratophyllum Michx. reflects land use in eastern North America","docAbstract":"<p><span>Land use influences surface water quality, often alleviating stoichiometric constraints on primary production and altering biogeochemical cycling. However, land use effects on nutrient content and potential trace metal accumulation in aquatic plants remain unclear, and high concentrations of metals and altered nutrient ratios could impact the health of herbivores and detritivores. We tested for land use effects on nutrient and trace metal accumulation in a widespread riverine macrophyte,&nbsp;</span><i>Podostemum ceratophyllum</i><span>, collected from 91 locations from Georgia to Maine, USA in 2014–2016. We quantified carbon (C), nitrogen (N), phosphorus (P), their molar and mass ratios, N and C stable isotopes, and 17 additional elements in dried plants collected from each location to estimate relationships between plant tissue content and watershed land use, which we quantified as agriculture, forest, and development. Decreasing forest cover was correlated with increasing δ</span><sup>15</sup><span>N, Mg, Mn, and P in&nbsp;</span><i>Podostemum</i><span>&nbsp;tissue. Increasing urban development was correlated with increasing δ</span><sup>15</sup><span>N, Mg and P, while increasing agriculture was correlated with a decrease in C: P and the concentrations of multiple metals, along with increases in P, Mg and δ</span><sup>15</sup><span>N. Decreases in ratios of N: P and C:P with increasing agriculture and urban development in the watershed indicate more rapid P storage relative to C and N in plant tissue, and increased resource quality of the plant to consumers in these watersheds. We also observed potentially toxic dietary concentrations of some trace metals (B, Cd, Tl, Zn) in plant tissue which could be related to the plant's natural herbivory defense system or to land use. We conclude that land use influences the elemental composition of&nbsp;</span><i>P. ceratophyllum</i><span>, and potentially the quality and toxicity of the plant to herbivores and detritivores in eastern North American rivers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.176118","usgsCitation":"Wood, J., Dietterich, L.H., Leasure, D.R., Jantzi, S., Maddox, T., Wenger, S., Skaggs, J., Rosemond, A.D., and Freeman, M., 2024, Elemental composition and potential toxicity of the riverine macrophyte Podostemum ceratophyllum Michx. reflects land use in eastern North America: Science of the Total Environment, v. 954, 176118, 14 p., https://doi.org/10.1016/j.scitotenv.2024.176118.","productDescription":"176118, 14 p.","ipdsId":"IP-144142","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.176118","text":"Publisher Index Page"},{"id":465144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -69.54256609727352,\n              43.88143574292508\n            ],\n            [\n              -70.647563027507,\n              44.26997672061174\n            ],\n            [\n              -73.8976845593064,\n              43.177908703325954\n            ],\n            [\n              -74.07002050845693,\n              40.99340531964512\n            ],\n            [\n              -72.05924526688266,\n              41.33951624483788\n            ],\n            [\n              -70.23920091350011,\n              41.51880370179515\n            ],\n            [\n              -69.54256609727352,\n              43.88143574292508\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.53957439072548,\n              37.96935046600281\n            ],\n            [\n              -80.27133242619323,\n              38.11626273373102\n            ],\n            [\n              -85.94943603496614,\n              34.90130349851556\n            ],\n            [\n              -85.30759808373625,\n              33.510279887546815\n            ],\n            [\n              -82.4448300394111,\n              34.00184838830782\n            ],\n            [\n              -77.9718785239481,\n              36.58735830390653\n            ],\n            [\n              -77.87536535646905,\n              37.23153468843074\n            ],\n            [\n              -79.53957439072548,\n              37.96935046600281\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"954","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, James","contributorId":174400,"corporation":false,"usgs":false,"family":"Wood","given":"James","affiliations":[],"preferred":false,"id":921060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Lee H.","contributorId":333170,"corporation":false,"usgs":false,"family":"Dietterich","given":"Lee","email":"","middleInitial":"H.","affiliations":[{"id":79766,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523; US Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS 39180","active":true,"usgs":false}],"preferred":false,"id":921061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":921062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jantzi, Sarah","contributorId":347214,"corporation":false,"usgs":false,"family":"Jantzi","given":"Sarah","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maddox, Thomas","contributorId":347217,"corporation":false,"usgs":false,"family":"Maddox","given":"Thomas","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":921065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skaggs, Jonathan","contributorId":260315,"corporation":false,"usgs":false,"family":"Skaggs","given":"Jonathan","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosemond, Amy D.","contributorId":279630,"corporation":false,"usgs":false,"family":"Rosemond","given":"Amy","email":"","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921067,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":921068,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70259510,"text":"70259510 - 2024 - Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA","interactions":[],"lastModifiedDate":"2024-10-10T13:46:25.073316","indexId":"70259510","displayToPublicDate":"2024-09-28T08:40:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA","docAbstract":"<p><span>The goal of this study was to assess health of male Common Carp (carp,&nbsp;</span><span class=\"html-italic\">Cyprinus carpio</span><span>) at four sites with a wide range in environmental organic contaminant (EOC) concentrations and water temperatures in Lake Mead National Recreation Area NV/AZ, US, and the potential influence of regional drought. Histological and reproductive biomarkers were measured in 17–30 carp at four sites and 130 EOCs in water per site were analyzed using passive samplers in 2010. Wide ranges among sites were noted in total EOC concentrations (&gt;10Xs) and water temperature/degree days (10Xs). In 2007/08, total polychlorinated biphenyls (tPCBs) in fish whole bodies from Willow Beach (WB) in the free-flowing Colorado River below Hoover Dam were clearly higher than at the other sites. This was most likely due to longer exposures in colder water (12–14 °C) and fish there having the longest lifespan (up to 54 years) for carp reported in the Colorado River Basin. Calculated estrogenicity in water exceeded long-term, environmentally safe criteria of 0.1–0.4 ng/L by one to three orders of magnitude at all sites except the reference site. Low ecological screening values for four contaminants of emerging concern (CEC) in water were exceeded for one CEC in the reference site, two in WB and Las Vegas Bay and three in the most contaminated site LVW. Fish health biomarkers in WB carp had 25% lower liver glycogen, 10Xs higher testicular pigmented cell aggregates and higher sperm abnormalities than the reference site. Sperm from LVW fish also had significantly higher fragmentation of DNA, lower motility and testis had lower percent of spermatozoa, all of which can impair reproduction. Projections from a 3D water quality model performed for WB showed that EOC concentrations due to prolonged regional drought and reduced water levels could increase as high as 135%. Water temperatures by late 21st century are predicted to rise between 0.7 and 2.1 °C that could increase eutrophication, algal blooms, spread disease and decrease dissolved oxygen over 5%.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/toxics12100708","usgsCitation":"Goodbred, S.L., Patino, R., Alvarez, D.A., Johnson, D., Hannoun, D., Echols, K.R., and Jenkins, J., 2024, Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA: Toxics, v. 12, no. 10, 708, 29 p., https://doi.org/10.3390/toxics12100708.","productDescription":"708, 29 p.","ipdsId":"IP-157522","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics12100708","text":"Publisher Index Page"},{"id":462787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Mead National Recreation Area, Lower Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.31285412120533,\n              36.6\n            ],\n            [\n              -115.31285412120533,\n              35.75\n            ],\n            [\n              -113.64554275683693,\n              35.75\n            ],\n            [\n              -113.64554275683693,\n              36.6\n            ],\n            [\n              -115.31285412120533,\n              36.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodbred, Steven L 0009-0006-1165-3295 sgoodbred@usgs.gov","orcid":"https://orcid.org/0009-0006-1165-3295","contributorId":345073,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":915546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":205688,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","affiliations":[{"id":37106,"text":"Cherokee Nation","active":true,"usgs":false}],"preferred":false,"id":915548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannoun, Deena 0000-0003-3928-4023","orcid":"https://orcid.org/0000-0003-3928-4023","contributorId":345075,"corporation":false,"usgs":false,"family":"Hannoun","given":"Deena","email":"","affiliations":[{"id":35387,"text":"Southern Nevada Water Authority","active":true,"usgs":false}],"preferred":false,"id":915549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":915551,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259093,"text":"sir20245080 - 2024 - Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts","interactions":[],"lastModifiedDate":"2025-12-23T22:00:34.67459","indexId":"sir20245080","displayToPublicDate":"2024-09-27T16:00:00","publicationYear":"2024","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":"2024-5080","displayTitle":"Estimating Groundwater Level Records Using MOVE.1 and Computing Monthly Percentiles From Estimated Groundwater Records in Massachusetts","title":"Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, performed record extensions on groundwater levels at select wells using the Maintenance of Variance Extension type 1 (MOVE.1) method. The groundwater levels estimated from these record extensions were used to compute monthly percentiles to improve future determinations of a groundwater index. In Massachusetts, 27 of 29 short-record study wells with continuous groundwater levels between 0.8 and 8.1 years were suitable for record extensions; 37 long-record index wells were used to extend the groundwater level records at the study wells. The index well selected to pair with a study well was chosen based on Pearson correlation coefficient values; cross-correlation between the two wells; geologic and topographic similarity; and smallest distance spanning the wells. Each study well and its corresponding index well have 1 or more years of concurrent, overlapping data; a Pearson correlation coefficient that exceeded a threshold value of 0.8; and a similar aquifer type and hydrologic characteristics. Of the 29 study wells, 2 showed poor correlations with all index wells and were not considered for record extensions.</p><p>Performance metrics used to assess the accuracy of the MOVE.1 models indicated that most models provided reasonable estimates of groundwater levels. Root mean square error values ranged from 0.097 to 2.292 feet, with a median of 0.536 foot. Nash-Sutcliffe efficiency coefficient values ranged from 0.623 to 0.996, with a median value of 0.759. Generally, study wells in close geographical proximity to their index well resulted in stronger model performance.</p><p>The average length of groundwater level records was extended by 14.1 years to a new average of 18.1 years. The estimated groundwater level records from the MOVE.1 models resulted in an increase in the range of highest and lowest groundwater levels at 23 of 27 wells. The increase in range of groundwater levels was between 0.08 to 7.95 feet. Monthly percentiles for State drought indices were computed from the estimated MOVE.1 records and observed records through December 31, 2021. Percentiles computed from estimated records show an average groundwater level about 1.0 foot lower than observed data at the 2d percentile and 0.1 foot lower at the 30th percentile.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245080","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Ahearn, E.A., and Crozier, D.E., 2024, Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2024–5080, 38 p., https://doi.org/10.3133/sir20245080.","productDescription":"Report: iv, 38 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162998","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Well Network</li><li>Development of MOVE.1 Models for the Extension of Groundwater Level Records</li><li>Computation of Monthly Percentiles From Estimated Records</li><li>Summary</li><li>Acknowledgments</li><li>Selected References</li><li>Appendix 1. U.S. Geological Survey Climate Response Network of Groundwater Wells in Massachusetts, 2022</li><li>Appendix 2. Monthly Percentiles at Study Wells With Record Extensions</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-09-27","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":false,"id":914121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crozier, Dee-Ann E. 0000-0003-0526-3013","orcid":"https://orcid.org/0000-0003-0526-3013","contributorId":245837,"corporation":false,"usgs":true,"family":"Crozier","given":"Dee-Ann","email":"","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914122,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266205,"text":"70266205 - 2024 - An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations","interactions":[],"lastModifiedDate":"2025-04-30T16:01:00.53097","indexId":"70266205","displayToPublicDate":"2024-09-27T10:50:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>White Sturgeon<span>&nbsp;</span><i>Acipenser transmontanus</i><span>&nbsp;</span>in the Kootenai River basin is listed as endangered in the United States and Canada. Declines have been mainly attributed to poor recruitment exacerbated by the environmental effects of Libby Dam in Montana. Reduced primary production downstream of Libby Dam has been identified as one factor limiting growth of White Sturgeon, thereby limiting natural reproduction through delayed sexual maturity. However, estimating changes in growth over time without knowledge of fish location (i.e., Kootenai River vs. Kootenay Lake) is difficult. The objective of this project was to use microchemistry analysis to describe the movement of White Sturgeon within the Kootenai River basin.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>Water samples (<i>n</i><span>&nbsp;</span>= 27) and White Sturgeon fin rays (<i>n</i><span>&nbsp;</span>= 162) collected in the Kootenai River basin were measured for strontium isotope (<sup>87</sup>Sr:<sup>86</sup>Sr) ratios using laser ablation multicollector inductively coupled plasma mass spectrometry. All water samples and a subset of fin rays (<i>n</i><span>&nbsp;</span>= 8) were also analyzed for trace elements (e.g., Sr, Ba, Mg). Fin ray annuli were measured and tested using knowledge of known age; known locations from physical capture events were assigned to age at capture.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>Strontium isotope analysis was unable to detect differences in the Kootenai River and Kootenay Lake using water or fin ray samples. The Kootenai River and Kootenay Lake were distinguishable using trace element data from water samples, but not fin rays. The discrepancy with trace elements appears to be associated with the physiology of fin ray growth.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Although this study did not meet its original objective of describing the movement of White Sturgeon in the Kootenai River basin from fin ray microchemistry, our results provide insight into the potential influence of physiology on microchemistry analysis. In particular, fin ray microchemistry of slow-growing fishes may be possible in freshwater systems with further investigation into the physiological processes associated with growth and the incorporation of elements into calcified structures.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2024.1475115","usgsCitation":"Ghere, C., Quist, M.C., Hardy, R.S., Willmes, M., Lewis, L., Wilson, S., and Smith, T., 2024, An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations: Frontiers in Freshwater Science, v. 2, 1475115, 16 p., https://doi.org/10.3389/ffwsc.2024.1475115.","productDescription":"1475115, 16 p.","ipdsId":"IP-167840","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2024.1475115","text":"Publisher Index Page"},{"id":485211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana","otherGeospatial":"Kootenai River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.58401652080497,\n              50.69930521150616\n            ],\n            [\n              -117.49821629131017,\n              49.509131619753205\n            ],\n            [\n              -116.48726648061708,\n              48.128537941603184\n            ],\n            [\n              -115.02431190642167,\n              48.23747385319575\n            ],\n            [\n              -115.07423825028928,\n              48.982857626149\n            ],\n            [\n              -115.7490124116938,\n              50.94774297789954\n            ],\n            [\n              -117.58401652080497,\n              50.69930521150616\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghere, Courtnie L.","contributorId":352032,"corporation":false,"usgs":false,"family":"Ghere","given":"Courtnie","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":934915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":934917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willmes, Malte","contributorId":198500,"corporation":false,"usgs":false,"family":"Willmes","given":"Malte","email":"","affiliations":[],"preferred":false,"id":934918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, Levi","contributorId":313579,"corporation":false,"usgs":false,"family":"Lewis","given":"Levi","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Sean","contributorId":352033,"corporation":false,"usgs":false,"family":"Wilson","given":"Sean","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Troy","contributorId":353368,"corporation":false,"usgs":false,"family":"Smith","given":"Troy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934921,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259385,"text":"70259385 - 2024 - Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning","interactions":[],"lastModifiedDate":"2024-10-07T14:39:04.576768","indexId":"70259385","displayToPublicDate":"2024-09-27T09:34:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning","docAbstract":"<p><span>Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies, and this imbalance is expected to increase as the world transitions away from fossil fuel energy sources. High concentrations of lithium in brines have been observed in the Smackover Formation in southern Arkansas (&gt;400 milligrams per liter). We used published and newly collected brine lithium concentration data to train a random forest machine-learning model using geologic, geochemical, and temperature explanatory variables and create a map of predicted lithium concentrations in Smackover Formation brines across southern Arkansas. Using these predicted lithium maps with reservoir parameters and geologic information, we calculated that there are 5.1 to 19 million tons of lithium in Smackover Formation brines in southern Arkansas, which represents 35 to 136% of the current US lithium resource estimate. Based on these calculations, in 2022, 5000 tons of dissolved lithium were brought to the surface within brines as waste streams of the oil, gas, and bromine industries.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adp8149","usgsCitation":"Knierim, K.J., Blondes, M., Masterson, A., Freeman, P., McDevitt, B., Herzberg, A., Li, P., Mills, C., Doolan, C.A., Jubb, A., Ausbrooks, S., and Chenault, J., 2024, Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning: Science Advances, v. 10, no. 39, eadp8149, 11 p., https://doi.org/10.1126/sciadv.adp8149.","productDescription":"eadp8149, 11 p.","ipdsId":"IP-153803","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":466893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adp8149","text":"Publisher Index Page"},{"id":462662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Smackover Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.97434190011148,\n              33.77226311729616\n            ],\n            [\n              -93.97434190011148,\n              32.98074805942153\n            ],\n            [\n              -92.06801891555762,\n              32.98074805942153\n            ],\n            [\n              -92.06801891555762,\n              33.77226311729616\n            ],\n            [\n              -93.97434190011148,\n              33.77226311729616\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"39","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masterson, Andrew Laurence 0000-0002-3422-2985","orcid":"https://orcid.org/0000-0002-3422-2985","contributorId":343951,"corporation":false,"usgs":true,"family":"Masterson","given":"Andrew Laurence","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":224150,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzberg, Amanda Sha 0000-0003-0343-9425","orcid":"https://orcid.org/0000-0003-0343-9425","contributorId":333089,"corporation":false,"usgs":true,"family":"Herzberg","given":"Amanda Sha","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Peng","contributorId":344957,"corporation":false,"usgs":false,"family":"Li","given":"Peng","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915112,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mills, Ciara","contributorId":344958,"corporation":false,"usgs":false,"family":"Mills","given":"Ciara","email":"","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915113,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915114,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915115,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ausbrooks, Scott","contributorId":344959,"corporation":false,"usgs":false,"family":"Ausbrooks","given":"Scott","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915116,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science 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,{"id":70259531,"text":"70259531 - 2024 - Trace organic contaminants in U.S. national park surface waters: Prevalence and ecological context☆","interactions":[],"lastModifiedDate":"2024-10-11T11:51:06.323049","indexId":"70259531","displayToPublicDate":"2024-09-27T06:48:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Trace organic contaminants in U.S. national park surface waters: Prevalence and ecological context☆","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div id=\"abspara0010\" class=\"u-margin-s-bottom\">Surface water samples were collected from 264 sites across 46 U.S national parks during the period of 2009–2019. The number of sites within each park ranged from 1 to 31 and the number of samples collected within each park ranged from 1 to 201. Samples were analyzed for up to 340 trace organic contaminants (TrOCs), including pharmaceuticals, personal care products, pesticides, and various contaminants indicative of anthropogenic influence (e.g., fragrances, surfactants, flame retardants). A total of 155 TrOCs was detected in at least one sample with concentrations ranging from the reporting level of 10&nbsp;ng/L (multiple contaminants) to 11,900&nbsp;ng/L (p-cresol). Except for bisphenol A, DEET, theobromine, and gabapentin, TrOCs were detected in &lt;20% of samples. Despite the relatively low detection frequencies, when TrOCs were detected, concentrations were similar to those reported from other regional or national studies. We compared detected concentrations to bioactivity concentrations and water quality benchmarks, when available, to identify occurrences of elevated concentrations and to estimate the potential for biological effects to aquatic biota. Elevated concentrations of 27 TrOCs, mostly pesticides, were detected throughout the study. To gain insight regarding potential sources, we related watershed characteristics (e.g., land cover, presence of point sources) to the number of TrOCs detected at each site. We found that the presence of wastewater treatment plants and the proportion of the watershed classified as agricultural land were the most influential variables for describing the number of pharmaceuticals and the number of pesticides present, respectively. This study represents the largest-scale study characterizing the presence and magnitude of TrOCs in U.S. national park surface waters, to date. These data provide a baseline that can be used to inform future monitoring within the parks and to assess changes in water quality.</div></div></div><div id=\"abs0015\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2024.125006","usgsCitation":"Elliott, S.M., King, K.A., Krall, A.L., and VanderMeulen, D.D., 2024, Trace organic contaminants in U.S. national park surface waters: Prevalence and ecological context☆: Environmental Pollution, v. 362, https://doi.org/10.1016/j.envpol.2024.125006.","productDescription":"125006, 11 p.","startPage":"125006","ipdsId":"IP-165096","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2024.125006","text":"Publisher Index Page"},{"id":462820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n          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              46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"362","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Kerensa A.","contributorId":191814,"corporation":false,"usgs":false,"family":"King","given":"Kerensa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":915629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krall, Aliesha L. 0000-0003-2521-5043 adiekoff@usgs.gov","orcid":"https://orcid.org/0000-0003-2521-5043","contributorId":176545,"corporation":false,"usgs":true,"family":"Krall","given":"Aliesha","email":"adiekoff@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanderMeulen, David D.","contributorId":196965,"corporation":false,"usgs":false,"family":"VanderMeulen","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":915631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259143,"text":"70259143 - 2024 - Beyond the wedge: Impact of tidal streams on salinization of groundwater in a coastal aquifer stressed by pumping and sea-level rise","interactions":[],"lastModifiedDate":"2025-04-08T20:22:53.531767","indexId":"70259143","displayToPublicDate":"2024-09-27T06:09:56","publicationYear":"2024","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":"Beyond the wedge: Impact of tidal streams on salinization of groundwater in a coastal aquifer stressed by pumping and sea-level rise","docAbstract":"<div class=\"article-section__content en main\"><p>Saltwater intrusion (SWI) is a well-studied phenomenon that threatens the freshwater supplies of coastal communities around the world. The development and advancement of numerical models has led to improved assessment of the risk of salinization. However, these studies often fail to include the impact of surface waters as potential sources of aquifer salinity and how they may impact SWI. Based on field-collected data, we developed a regional, variable-density groundwater model using SEAWAT for east Dover, Delaware. In this location, major users of groundwater from the surficial aquifer are the City of Dover and irrigation for agriculture. Our model includes salinized marshland and tidal streams, along with irrigation and municipal pumping wells. Model scenarios were run for 100&nbsp;years and included changes in pumping rates and sea-level rise (SLR). We examined how these drivers of SWI affect the extent and location of salinization in the surficial aquifer by evaluating differences in chloride concentration near surface waters and the subsurface freshwater-saltwater interface. We found the presence of the marsh inverts the typical freshwater-saltwater wedge interface and that the edge of the interface did not migrate farther inland. Additionally, we found that tidal streams are the dominant pathways of SWI at our site with salinization from streams being exacerbated by SLR. Our results also show that spatial distribution of pumping affects both the magnitude and extent of salinization, with an increase in concentrated pumping leading to more intensive salinization than a more widely distributed increase of the same total pumping volume.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035840","usgsCitation":"Hingst, M.C., Housego, R., He, C., Minsley, B.J., Ball, L.B., and Michael, H.A., 2024, Beyond the wedge: Impact of tidal streams on salinization of groundwater in a coastal aquifer stressed by pumping and sea-level rise: Water Resources Research, v. 60, no. 10, e2023WR035840, 19 p., https://doi.org/10.1029/2023WR035840.","productDescription":"e2023WR035840, 19 p.","ipdsId":"IP-159135","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":484343,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/59722284e4b0ec1a4885ed9d","text":"USGS data release","description":"USGS data release","linkHelpText":"Airborne electromagnetic and magnetic survey of Delaware Bay and surrounding regions of New Jersey and Delaware, 2022 (ver 2.0, March 2025)"},{"id":462403,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466897,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035840","text":"Publisher Index Page"}],"country":"United States","state":"Delaware","otherGeospatial":"Saint Jones River","volume":"60","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hingst, Mary C.","contributorId":344601,"corporation":false,"usgs":false,"family":"Hingst","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":914312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Housego, R.M.","contributorId":344602,"corporation":false,"usgs":false,"family":"Housego","given":"R.M.","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":914313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"He, C.","contributorId":76951,"corporation":false,"usgs":true,"family":"He","given":"C.","email":"","affiliations":[],"preferred":false,"id":914314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":914315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":914316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael, Holly A.","contributorId":190224,"corporation":false,"usgs":false,"family":"Michael","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":914317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258899,"text":"sir20245090 - 2024 - Simulated mean monthly groundwater-transported nitrogen loads in watersheds on the north shore of Long Island Sound, 1993–2022","interactions":[],"lastModifiedDate":"2025-12-23T22:02:28.106914","indexId":"sir20245090","displayToPublicDate":"2024-09-26T14:30:00","publicationYear":"2024","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":"2024-5090","displayTitle":"Simulated Mean Monthly Groundwater-Transported Nitrogen Loads in Watersheds on the North Shore of Long Island Sound, 1993–2022","title":"Simulated mean monthly groundwater-transported nitrogen loads in watersheds on the north shore of Long Island Sound, 1993–2022","docAbstract":"<p>Elevated nitrogen loads are pervasive in the Long Island Sound, an estuary that receives freshwater and nutrients from both surface-water and groundwater discharge. Surface-water nitrogen loads to the Long Island Sound are relatively well characterized, but less is known about groundwater-transported nitrogen loads. Prior work on the northern shore of Long Island Sound (Connecticut and areas of New York and Rhode Island) suggested that groundwater travel times are relatively short (median less than 2 years) and that decade-long nutrient legacies are not widespread. Because the travel times are short, groundwater flow and nutrient loads likely vary substantially between months. In the current study, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency’s Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection, developed a set of models to better characterize spatial and temporal patterns of groundwater-transported nitrogen loading from atmospheric deposition, septic systems, and fertilizers within the study area. The models provide an estimate, with uncertainty, of groundwater-transported nitrogen loads in the study area, filling a key gap in the nitrogen budget for Long Island Sound. The models also highlight the spatial and temporal variation in nitrogen loading throughout the study area.</p><p>The modeling workflow involved four models. (1) A soil-water-balance model was developed by using the Soil-Water-Balance software to simulate groundwater recharge across the study area for water years 2005 through 2022. The simulated mean monthly recharge from the soil-water-balance model was used as input into a groundwater-flow model. (2) The groundwater-flow model was developed by using the MODFLOW 6 software and data for water years 1993 through 2022 and simulates average monthly hydrologic conditions. The groundwater-flow model was calibrated by using the Iterative Ensemble Smoother method within the PEST++ software. The Iterative Ensemble Smoother method generates an ensemble of sets of parameter values, with each set producing reasonable simulated hydrologic parameter values. (3) An ensemble of MODPATH particle-tracking simulations were run to generate particle flow paths and travel times, with each simulation using a different set of the flow model parameters. (4) A nitrogen load model uses the MODPATH simulation outputs to track nitrogen from the land surface through multiple attenuation zones until it discharges into fresh or saline surface water. As with the groundwater-flow model, the nitrogen model simulated average monthly groundwater-transported nitrogen loads for water years 1993 through 2022. One novel aspect of the nitrogen load model is that the nitrogen attenuation parameters were calibrated to observed nitrogen loads.</p><p>Across the ensemble of simulated nitrogen loads, the median study-area-wide monthly simulated nitrogen loads from the aquifer to Long Island Sound throughout the year ranged from 900 to 18,600 kilograms of nitrogen per day, with a median load of 5,100 kilograms of nitrogen per day. The simulated loads were based on average monthly conditions for water years 1993 through 2022. Loads were highest during the winter and early spring and lowest during the late summer. However, simulated travel times for groundwater and nitrogen loads discharged to Long Island Sound during summer were longer than travel times for groundwater and loads discharged during the winter, indicating that, on average, groundwater discharged during summer traveled along different, and longer, flow paths, than groundwater discharged during winter. This indicates that summer loads would respond more slowly to changes in nitrogen inputs at the water table than winter loads. Over the entire study area, approximately 15 percent of the simulated load is from atmospheric deposition sources, 30 to 40 percent is from fertilizer, and 50 to 60 percent is from septic systems.</p><p>The final analysis of the study involved simulating the change in groundwater-transported nitrogen load in response to upgrading septic systems or reducing fertilizing inputs to areas of turf grass. Both management interventions reduced the groundwater-transported nitrogen load, and reductions were greater in areas with greater loads from septic systems or turf-grass fertilizers. The delay between management actions and substantial reductions in groundwater-transported nitrogen loads varied seasonally; loads during the late summer months remained elevated longer than the winter loads.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245090","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency’s Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Barclay, J.R., Holland, M.J., and Mullaney, J.R., 2024, Simulated mean monthly groundwater-transported nitrogen loads in watersheds on the north shore of Long Island Sound, 1993–2022: U.S. Geological Survey Scientific Investigations Report 2024–5090, 63 p., https://doi.org/10.3133/sir20245090.","productDescription":"Report: xi, 63; 3 Data Releases","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150246","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":462294,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HKENGV","text":"USGS data release","linkHelpText":"MODFLOW6 groundwater flow model, MODPATH particle-tracking simulation, and groundwater-transported nitrogen load model of average monthly conditions in coastal Connecticut and adjacent areas of New York and Rhode Island, 1993–2022"},{"id":497952,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117502.htm","linkFileType":{"id":5,"text":"html"}},{"id":462296,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215116","text":"Scientific Investigations Report 2021–5116","linkHelpText":"- Simulation of Groundwater Budgets and Travel Times for Watersheds on the North Shore of Long Island Sound, With Implications for Nitrogen-Transport Studies"},{"id":462295,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1GUC7FE","text":"USGS data release","linkHelpText":"Soil-Water-Balance model developed to simulate net infiltration in watersheds on the north shore of the Long Island Sound"},{"id":462293,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1XEN74S","text":"USGS data release","linkHelpText":"Summary simulated groundwater-transported nitrogen loads on the north shore of Long Island Sound and associated data"},{"id":462292,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5090/sir20245090.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5090 XML"},{"id":462291,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5090/images/"},{"id":462290,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245090/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5090 HTML"},{"id":462289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5090/sir20245090.pdf","text":"Report","size":"24.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5090 PDF"},{"id":462288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5090/coverthb.jpg"}],"country":"United States","state":"Connecticut, Rhode Island","otherGeospatial":"Long Island Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.60521599677895,\n              40.99974278286342\n            ],\n            [\n              -71.33663482988541,\n              40.99974278286342\n            ],\n            [\n              -71.33663482988541,\n              41.7908892811372\n            ],\n            [\n              -73.60521599677895,\n              41.7908892811372\n            ],\n            [\n              -73.60521599677895,\n              40.99974278286342\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Compilation and Analysis</li><li>Soil-Water-Balance Model Development</li><li>Numerical Groundwater-Flow Model</li><li>Development of the Particle-Tracking Model</li><li>Nitrogen Load Model</li><li>Simulation of Monthly Nitrogen Loads</li><li>Nitrogen Management Scenarios</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Estimation of Seasonal Population</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-09-26","noUsgsAuthors":false,"publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holland, Madeleine J. 0000-0002-2369-0767","orcid":"https://orcid.org/0000-0002-2369-0767","contributorId":344551,"corporation":false,"usgs":true,"family":"Holland","given":"Madeleine","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263332,"text":"70263332 - 2024 - Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning","interactions":[],"lastModifiedDate":"2025-02-06T15:50:05.857714","indexId":"70263332","displayToPublicDate":"2024-09-26T08:45:09","publicationYear":"2024","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":"Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning","docAbstract":"We developed a suite of models using deep learning to make hindcast predictions of the 7‐day\naverage backward‐looking nitrate concentration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorological variables and watershed attributes describing anthropogenic modification to hydrology, nitrogen application, climate, groundwater, land use, watershed physiographic attributes, and soils. Across all sites, discharge and watershed soil and physiographic attributes showed a strong influence on model performance. Analysis of drivers across sites revealed considerable regional differences related to controlling processes such as groundwater contributions. We tested several ways to pool data across sites to develop accurate models and make the most effective use of available data. Single‐site models, in which models are trained and tested at a single location, showed generally strong predictive performance (median Kling‐Gupta Efficiency = 0.66), and accuracy at poorly performing sites could be improved by grouping sites with similar characteristics. Developing a single model for all sites reduced performance at several locations with distinct characteristics, suggesting that there is a threshold of dissimilarity beyond which more data does not improve the model. While many deep learning studies have shown that national or even global models can outperform local models, it is not clear that this is true for water quality constituents. This study demonstrates how data can be combined effectively, using deep learning to develop accurate and interpretable models of instream nitrate at sites where varying processes are responsible for changes in nitrate concentration.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR036591","usgsCitation":"Gorski, G., Larsen, L., Wingenroth, J., Zhang, L., Bellugi, D., and Appling, A.P., 2024, Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning: Water Resources Research, v. 60, no. 9, e2023WR036591, 20 p., https://doi.org/10.1029/2023WR036591.","productDescription":"e2023WR036591, 20 p.","ipdsId":"IP-159507","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr036591","text":"Publisher Index Page"},{"id":481745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.40564338832684,\n              45.91506689989822\n            ],\n            [\n              -96.40564338832684,\n              37.394013908611555\n            ],\n            [\n              -74.76198078442837,\n              37.394013908611555\n            ],\n            [\n              -74.76198078442837,\n              45.91506689989822\n            ],\n            [\n              -96.40564338832684,\n              45.91506689989822\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":926442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Laurel 0000-0001-7057-5377","orcid":"https://orcid.org/0000-0001-7057-5377","contributorId":298678,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel","affiliations":[{"id":64654,"text":"University of California, Berkeley, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":926443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wingenroth, Jordan 0000-0002-7970-841X","orcid":"https://orcid.org/0000-0002-7970-841X","contributorId":350622,"corporation":false,"usgs":false,"family":"Wingenroth","given":"Jordan","affiliations":[{"id":36572,"text":"Resources for the Future","active":true,"usgs":false}],"preferred":false,"id":926444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Liang","contributorId":288484,"corporation":false,"usgs":false,"family":"Zhang","given":"Liang","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":926445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino","contributorId":148040,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":926446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":926447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258713,"text":"sir20245042 - 2024 - Groundwater quality near the Placerita Oil Field, California, 2018","interactions":[],"lastModifiedDate":"2025-12-23T22:04:59.870246","indexId":"sir20245042","displayToPublicDate":"2024-09-26T08:40:00","publicationYear":"2024","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":"2024-5042","displayTitle":"Groundwater Quality Near the Placerita Oil Field, California, 2018","title":"Groundwater quality near the Placerita Oil Field, California, 2018","docAbstract":"<p>Groundwater-quality data and potential fluid-migration pathways near the Placerita Oil Field in Los Angeles County, California, were examined by the U.S. Geological Survey to determine if oil-field fluids (water and gas from oil-producing and non-producing zones) have mixed with groundwater resources. Six of the 13 new groundwater samples collected for this study contained petroleum hydrocarbons, thermogenic gas, inorganic chemical signatures, and (or) isotopic values consistent with potential mixing with fluids from hydrocarbon-bearing formations.</p><p>For historical groundwater samples, benzene was the most detected petroleum hydrocarbon. The historical groundwater samples with a benzene concentration greater than 0.5 micrograms per liter were from environmental monitoring wells at industrial or commercial facilities unrelated to oil and gas development that, in many cases, have identified soil or groundwater contamination and were not typically analyzed for other constituents that could provide additional lines of evidence for potential mixing with oil-field fluids. Methane was not detected in any of the 12 historical samples with a reported measurement.</p><p>Reviewing historical data revealed factors that could potentially adversely affect groundwater quality in the study area. These factors include modified hydraulic gradients caused by large volumes of water extracted from the main production area and reinjected downgradient into nonproducing zones, well-barrier failures in wells constructed in the northern part of the oil field before the 1970s, well-barrier failures in produced-water disposal wells downgradient from the main production area, and naturally occurring hydrocarbons at shallow intervals. The groundwater samples most geochemically similar to samples from hydrocarbon-bearing formations were in areas where hydrocarbons are naturally occurring at shallow intervals and where oil development is at shallow depths. Additional data for hydraulic heads, water quality, and formation temperatures at multiple depths in areas with large injection volumes and well-integrity issues are needed to evaluate whether those factors have contributed to mixing between fluids from oil-producing or injection formations and groundwater resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245042","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stanton, J.S., Landon, M.K., Shimabukuro, D.H., Kulongoski, J.T., Hunt, A.G., McMahon, P.B., Cozzarelli, I.M., Anders, R., and Sowers, T.A., 2024, Groundwater quality near the Placerita Oil Field, California, 2018: U.S. Geological Survey Scientific Investigations Report 2024–5042, 65 p., https://doi.org/10.3133/sir20245042.","productDescription":"Report: ix, 65 p.; 2 Data Releases; 7 Tables","numberOfPages":"65","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-152098","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":462192,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042_app2_csv.zip","text":"Appendix 2, Tables 2.1–2.7","size":"10.4 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- CSV files"},{"id":462187,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5042/images/"},{"id":462188,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5042 XML"},{"id":462186,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245042/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5042 HTML"},{"id":462191,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042_app2.xlsx","text":"Appendix 2, Tables 2.1–2.7","size":"56.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Supplemental Tables for the Placerita Oil Field Study Area, California, 2018"},{"id":462190,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G5UD7J","text":"USGS data release","linkHelpText":"Water chemistry data for samples collected at groundwater sites in the Placerita Oil Field study area, June 2018—November 2018, Los Angeles County, California"},{"id":462189,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93KFFR8","text":"USGS data release","linkHelpText":"Produced water chemistry data collected from the Oxnard Oil Field, Ventura County, and the Placerita Oil Field, Los Angeles County, 2018, California"},{"id":462185,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042.pdf","text":"Report","size":"7.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5042 PDF"},{"id":462184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5042/coverthb.jpg"},{"id":497953,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117501.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Placerita Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.5667,\n              34.4333\n            ],\n            [\n              -118.5667,\n              34.3333\n            ],\n            [\n              -118.4,\n              34.3333\n            ],\n            [\n              -118.4,\n              34.4333\n            ],\n            [\n              -118.5667,\n              34.4333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/california-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/california-water-science-center\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater Quality</li><li>Potential Fluid-Migration Pathways</li><li>Relation of Groundwater Quality to Pathways</li><li>Study Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Glossary</li><li>Appendix 2. Supplemental Tables for the Placerita Oil Field Study Area, California, 2018</li><li>Appendix 3. Quality of Groundwater Samples Collected for the Placerita Oil Field Study Area, California, 2018</li><li>Appendix 4. Noble Gas Compositions of Groundwater and Produced Water in the Placerita Oil Field Study Area, California, 2018</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-09-26","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey studied groundwater near the Placerita Oil Field in Los Angeles County to see if oil-field fluids have mixed with groundwater. Six out of 13 new samples showed signs of mixing with fluids from hydrocarbon-bearing formations. Historical data revealed factors that could affect groundwater quality, including modified hydraulic gradients, well-barrier failures, and naturally occurring hydrocarbons. More data are needed to evaluate the effects of these factors.</p>","publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":913789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":913791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":913793,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anders, Robert 0000-0002-2363-9072 randers@usgs.gov","orcid":"https://orcid.org/0000-0002-2363-9072","contributorId":1210,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913794,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":211482,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron","email":"","middleInitial":"A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":913795,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70259191,"text":"70259191 - 2024 - Factors contributing to pesticide contamination in riverine systems: The role of wastewater and landscape sources","interactions":[],"lastModifiedDate":"2024-10-01T11:49:20.686522","indexId":"70259191","displayToPublicDate":"2024-09-26T06:44:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Factors contributing to pesticide contamination in riverine systems: The role of wastewater and landscape sources","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><div id=\"sp0045\" class=\"u-margin-s-bottom\">Wastewater treatment plant (WWTP) discharges can be a source of organic contaminants, including pesticides, to rivers. An integrated model was developed for the Potomac River watershed (PRW) to determine the amount of accumulated wastewater percentage of streamflow (ACCWW) and calculate predicted environmental concentrations (PECs) for 14 pesticides in non-tidal National Hydrography Dataset Plus Version 2.1 stream segments. Predicted environmental concentrations were compared to measured environmental concentrations (MECs) from 32 stream sites that represented a range of ACCWW and land use to evaluate model performance and to assess possible non-WWTP loading sources. Statistical agreement between PECs and MECs was strongest for insecticides, followed by fungicides and herbicides. Principal component analysis utilizing optical fluorescence and ancillary water quality data identified wastewater and urban runoff sources. Pesticides that indicated relatively larger sources from WWTPs included dinotefuran, fipronil, carbendazim, thiabendazole, and prometon whereas imidacloprid, azoxystrobin, propiconazole, tebuconazole, and diuron were more related to urban runoff. In addition, PECs generally comprised a low proportion of MECs, which indicates possible dominant loading sources beyond WWTP discharges. Cumulative potential toxicity was higher for sites with greater ACCWW and/or located in developed areas. Imidacloprid, fipronil, and carbendazim accounted for the largest portion of predicted potential toxicity across sites. The chronic aquatic life toxicity benchmarks for freshwater invertebrates were exceeded for 82&nbsp;% of the imidacloprid detections (<i>n</i>&nbsp;=&nbsp;28) and 47&nbsp;% of the fipronil detections (<i>n</i>&nbsp;=&nbsp;19). These results highlight the ecological implications of pesticide contamination from WWTP discharges and also the potential legacy effects from accumulated soil and groundwater sources. Pesticide management strategies that mitigate both current and historical impacts may improve the health of aquatic ecosystems.</div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.174939","usgsCitation":"Miller, S.A., Faunce, K.E., Barber, L., Fleck, J., Burns, D.W., Jasmann, J.R., and Hladik, M.L., 2024, Factors contributing to pesticide contamination in riverine systems: The role of wastewater and landscape sources: Science of the Total Environment, v. 954, 174939, 20 p., https://doi.org/10.1016/j.scitotenv.2024.174939.","productDescription":"174939, 20 p.","ipdsId":"IP-163718","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":466900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.174939","text":"Publisher Index Page"},{"id":490408,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P134KYMX","text":"USGS data release","linkHelpText":"Data for the Potomac River Watershed Accumulated Wastewater Viewer"},{"id":490407,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DUC4L1","text":"USGS data release","linkHelpText":"Environmental Sampling and Modeling Results to Characterize Surface-Water Quality at 32 Sites Across the Potomac River Watershed, 2022 (ver. 3.0, April 2025)"},{"id":462432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.00158016691461,\n              37.7988952018341\n            ],\n            [\n              -76.30315760557744,\n              39.41263041610057\n            ],\n            [\n              -76.67191432446523,\n              40.08428166281456\n            ],\n            [\n              -78.02170860891448,\n              40.115475475687674\n            ],\n            [\n              -79.51949995994003,\n              39.934136133761626\n            ],\n            [\n              -80.11964444845647,\n              39.194067143596186\n            ],\n            [\n              -79.98352863659944,\n              37.91127030328214\n            ],\n            [\n              -79.8471944255433,\n              37.08531532441057\n            ],\n            [\n              -77.98677780480173,\n              38.1705801476881\n            ],\n            [\n              -76.00158016691461,\n              37.7988952018341\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"954","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Samuel Adam 0000-0003-4225-1601","orcid":"https://orcid.org/0000-0003-4225-1601","contributorId":333495,"corporation":false,"usgs":true,"family":"Miller","given":"Samuel","email":"","middleInitial":"Adam","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunce, Kaycee E. 0000-0002-9178-0692","orcid":"https://orcid.org/0000-0002-9178-0692","contributorId":224488,"corporation":false,"usgs":true,"family":"Faunce","given":"Kaycee","email":"","middleInitial":"E.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - 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,{"id":70258746,"text":"sir20245071 - 2024 - Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19","interactions":[],"lastModifiedDate":"2025-12-29T14:29:03.412249","indexId":"sir20245071","displayToPublicDate":"2024-09-25T13:15:46","publicationYear":"2024","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":"2024-5071","displayTitle":"Pesticides in Surface Water Downstream of and Near Agricultural and Developed Land in Hawai‘i, 2015–19","title":"Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19","docAbstract":"<p>Pesticides and pesticide degradates (herein referred to as pesticides) in surface water were assessed at 78 sites on 4 Hawaiian Islands (Kauaʻi, Oʻahu, Maui, and Island of Hawaiʻi) during 2015–19. Each site was downstream of or near agricultural land, developed land, or both. Most (58) sites were streams; the remaining sites were canals, ditches, anchialine pools, coastal ponds, and the nearshore ocean. Pesticides in water at each site were assessed by collection of one to four water samples, by a weeks-long deployment of a passive sampler, or both. Passive-sampler extracts and water samples, which consisted of fair-weather samples and storm samples, were analyzed for as many as 253 pesticides that consisted of 129 herbicides, 101 insecticides, and 23 fungicides.</p><p>A total of 117 pesticides were detected in water. Of these, 30 pesticides were detected at more than 20 percent of their assessment sites and thus were considered “common” pesticides. The common pesticides included 17 herbicides (ametryn, atrazine, bentazon, bromacil, diuron, hexazinone, metolachlor, propazine, simazine, triclopyr, prometryn, and degradates of atrazine [4], diuron, hexazinone, and prometryn); 8 insecticides (carbaryl, dinotefuran, fipronil, flubendiamide, imidacloprid, methoxyfenozide and 2 degradates of fipronil); and 5 fungicides (azoxystrobin, metalaxyl, propiconazole, a degradate of chlorothalonil, and a degradate of thiophanate-methyl and benomyl). Common pesticides typically were present more frequently in storm samples than in fair-weather samples. A mixture of two or more pesticides was detected in 86 percent of the water samples and in water during every passive-sampler deployment.</p><p>About 92 percent of all pesticide detections had concentrations less than 100 nanograms per liter. Pesticide concentrations were less than Federal aquatic-life benchmarks (ALBs) for vertebrates and typically were less than ALBs for invertebrates, nonvascular plants, and vascular plants. Acute ALBs were exceeded by acetochlor, atrazine, carbaryl, chlorpyrifos, cis-permethrin, diazinon, diuron, halosulfuron methyl, and imidacloprid in storm samples at one to four sites. ALBs for invertebrates were exceeded by clothianidin, diazinon, fipronil, and imidacloprid in fair-weather samples, during passive-sampler deployments, or both at 1 to 17 sites. Federal drinking water standards were available for only five pesticides detected in water, and the standard for atrazine was exceeded in one storm sample. Pesticide concentrations did not exceed any Federal human-health benchmarks, but many of the detected pesticides did not have a benchmark.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245071","collaboration":"Prepared in cooperation with the State of Hawai‘i Department of Agriculture","usgsCitation":"Johnson, A.G., Kennedy, J.J., and Alvarez, D.A., 2024, Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19: U.S. Geological Survey Scientific Investigations Report 2024–5071, 94 p., https://doi.org/10.3133/sir20245071.","productDescription":"Report: ix, 94 p.; 3 Data Releases","numberOfPages":"94","onlineOnly":"Y","ipdsId":"IP-154311","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":462624,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K782ZO","text":"USGS Data Release","description":"Johnson, A.G., and Alvarez, D.A., 2024, Pesticide, organic-contaminant, and wastewater-indicator results for passive samplers deployed in surface water and groundwater in Hawai‘i, 2015–19: U.S. Geological Survey data release, https://doi.org/10.5066/P9K782ZO.","linkHelpText":"Pesticide, organic-contaminant, and wastewater-indicator results for passive samplers deployed in surface water and groundwater in Hawai‘i, 2015–19"},{"id":462625,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95XY6ZY","text":"USGS Data Release","description":"Johnson, A.G., and Kennedy, J.J., 2024, Surface-water sites in Hawai‘i where pesticides were assessed, 2015–19: U.S. Geological Survey data release, https://doi.org/10.5066/P95XY6ZY.","linkHelpText":"Surface-water sites in Hawai‘i where pesticides were assessed, 2015–19"},{"id":462623,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WX2RGU","text":"USGS Data 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 \"}}]}","contact":"<p><a href=\"mailto:dc_hi@usgs.gov\" data-mce-href=\"mailto:dc_hi@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/piwsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/piwsc\">Pacific Islands Water Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>Inouye Regional Center<br>1845 Wasp Blvd., B176<br>Honolulu, HI 96818</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods—Assessment of Pesticides in Surface Water in Hawai‘i, 2015–19</li><li>Methods—Management and Analysis of Pesticide Results</li><li>Results—Pesticide Occurrence in Surface Water</li><li>Limitations of Pesticide Assessment</li><li>Suggestions for Future Pesticide Monitoring</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Amounts of restricted-use pesticides sold in Hawai‘i, 2014–19</li><li>Appendix 2. Methods Used to Collect Water Samples, Deploy Passive Samplers, and Prepare Passive-Sampler Extracts</li><li>Appendix 3. Quality-Control Samples Associated with Water Samples and Passive Samplers</li><li>Appendix 4. Pesticides Analyzed in Water Samples and Passive Samplers Collected and Deployed in Hawai‘i During 2015–19</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-10-04","noUsgsAuthors":false,"publicationDate":"2024-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Joseph J. 0000-0002-6608-2366","orcid":"https://orcid.org/0000-0002-6608-2366","contributorId":333051,"corporation":false,"usgs":false,"family":"Kennedy","given":"Joseph J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":913935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":913936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259609,"text":"70259609 - 2024 - Groundwater-Surface water interactions research: Past trends and future directions","interactions":[],"lastModifiedDate":"2024-10-17T11:58:22.178363","indexId":"70259609","displayToPublicDate":"2024-09-25T06:55:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater-Surface water interactions research: Past trends and future directions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\">Interactions between groundwater and surface water sustain groundwater-dependent ecosystems and regulate river temperature and biogeochemical cycles, amongst many other processes. These interactions occur in freshwater environments including rivers, springs, lakes, and wetlands, and in coastal environments via tidal pumping, submarine groundwater discharge, and seawater intrusion. Here, we explore groundwater-surface water interactions research using bibliometric analyses of titles, abstracts, and keywords from 20,275 journal papers published between 1970 and 2023 extracted from Scopus. Analyses show that research into groundwater-surface water interactions is highly multi-disciplinary, with growing contributions from the social and biological sciences. The number of groundwater-surface water interactions papers is rapidly increasing with over 1200 papers published per year since 2020. Drawing on our data-driven approach and expert knowledge, we synthesise current research trends and identify critical future research directions. Despite the thousands of papers on groundwater-surface water interactions, important processes are still difficult to quantify or predict at meaningful spatial scales to inform water-resources management. We see benefits in future groundwater-surface water interactions research focusing on: (1) using new technologies including internet-of-things-based sensors, uncrewed vehicles, and remote-sensing approaches for data collection to inform groundwater-surface water interactions at large scales, (2) seeking approaches to upscale site-specific findings to better inform management, and (3) continuing the movement towards multi-disciplinary investigations to better inform the understanding of groundwater-surface water interactions and processes that will enable better management outcomes.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132061","usgsCitation":"Irvine, D.J., Singha, K., Kurylyk, B.L., Briggs, M., Sebastian, Y., Tait, D., and Helton, A., 2024, Groundwater-Surface water interactions research: Past trends and future directions: Journal of Hydrology, v. 644, 132061, 23 p., https://doi.org/10.1016/j.jhydrol.2024.132061.","productDescription":"132061, 23 p.","ipdsId":"IP-168109","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132061","text":"Publisher Index Page"},{"id":462934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"644","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":915937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singha, Kamini","contributorId":331170,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":915938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":915939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":915940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebastian, Yakub","contributorId":345187,"corporation":false,"usgs":false,"family":"Sebastian","given":"Yakub","email":"","affiliations":[{"id":12877,"text":"Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":915941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tait, Douglas","contributorId":345188,"corporation":false,"usgs":false,"family":"Tait","given":"Douglas","email":"","affiliations":[{"id":40535,"text":"Southern Cross University","active":true,"usgs":false}],"preferred":false,"id":915942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helton, Ashley","contributorId":219741,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":915943,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70258712,"text":"ofr20241043 - 2024 - Dissolved oxygen monitoring on the Souris River, 2019–23","interactions":[],"lastModifiedDate":"2025-12-23T22:08:50.448299","indexId":"ofr20241043","displayToPublicDate":"2024-09-25T06:54:02","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1043","displayTitle":"Dissolved Oxygen Monitoring on the Souris River, 2019–23","title":"Dissolved oxygen monitoring on the Souris River, 2019–23","docAbstract":"<p>The U.S. Geological Survey (USGS) in partnership with the International Joint Commission installed and operated continuous water-quality monitors at three sites on the Souris River from May 2019 to October 2023. Continuously recorded data included dissolved oxygen (DO), water temperature, and specific conductance at the Souris River near Sherwood, North Dakota (USGS station 05114000), Souris River above Minot, N. Dak. (USGS station 05117500), and Souris River near Westhope, N. Dak (USGS station 05124000). The three sites on the Souris River were chosen for additional DO monitoring because they provided the best opportunity to capture potential effects on DO in areas downstream from major flow control structures and because identifying the connection of streamflow to DO at the international border is a focus of the International Souris River Board (ISRB).</p><p>The continuous water-quality monitoring at three sites on the Souris River from May 16, 2019, to October 1, 2023, indicated different patterns in DO among the three sites, and the different patterns indicate different factors affect DO concentrations among the sites. DO concentrations near Sherwood indicated the strong effect of algal dynamics at lower streamflow conditions with large diurnal fluctuations in DO concentration and indicated that streamflow does seem to affect DO concentrations when the streamflow is greater than about 100 cubic feet per second. DO concentrations were also frequently less than the water-quality objective (WQO) of 5 milligrams per liter in the summer and winter months, particularly during relatively low streamflow conditions in 2020 and 2021. DO concentrations above Minot had a different pattern with considerably fewer diurnal fluctuations than near Sherwood, high DO concentrations most winters except for the winter of 2021–22, and fewer instances when the DO was less than the WQO compared to Sherwood. The pattern of DO concentrations near Westhope seemed to be mainly influenced by the water chemistry coming out of J. Clark Salyer Pool 357 rather than streamflow and channel conditions at the site. The Westhope site also had the most days with daily minimum DO concentrations less than the WQO among the three sites, mainly in the winter when concentrations were consistently at or near 0 milligrams per liter for most of the winter months.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241043","collaboration":"Prepared in cooperation with the International Joint Commission","usgsCitation":"Galloway, J.M., 2024, Dissolved oxygen monitoring on the Souris River, 2019–23: U.S. Geological Survey Open-File Report 2024–1043, 13 p., https://doi.org/10.3133/ofr20241043.","productDescription":"Report: iv, 13 p.; Dataset","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167787","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":497955,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117500.htm","linkFileType":{"id":5,"text":"html"}},{"id":462183,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241043/full"},{"id":462182,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":462181,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1043/images/"},{"id":462180,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1043/ofr20241043.XML"},{"id":462179,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1043/ofr20241043.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1043"},{"id":462178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1043/coverthb.jpg"}],"country":"Canada, United States","state":"North Dakota","otherGeospatial":"Souris River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.03302625208204,\n              50.79350866915286\n            ],\n            [\n              -105.03302625208204,\n              47.533599370512235\n            ],\n            [\n              -98.11163953333218,\n              47.533599370512235\n            ],\n            [\n              -98.11163953333218,\n              50.79350866915286\n            ],\n            [\n              -105.03302625208204,\n              50.79350866915286\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/dakota-water\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue<br>Bismarck, ND 58503<br>1608 Mountain View Road<br>Rapid City, SD 57702</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous Water Quality in the Souris River 2019–23</li><li>Implications</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-09-25","noUsgsAuthors":false,"publicationDate":"2024-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913786,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70258656,"text":"sir20245074 - 2024 - Evaluation and review of ecology-focused stream studies to support cooperative monitoring, Fountain Creek Basin, Colorado","interactions":[],"lastModifiedDate":"2025-12-23T22:12:00.330021","indexId":"sir20245074","displayToPublicDate":"2024-09-24T13:10:00","publicationYear":"2024","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":"2024-5074","displayTitle":"Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado","title":"Evaluation and review of ecology-focused stream studies to support cooperative monitoring, Fountain Creek Basin, Colorado","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Colorado Springs Utilities and Colorado Springs Stormwater Enterprise, synthesized previous studies and evaluated recent monitoring data to understand the distribution of fish and invertebrates in the Fountain Creek Basin and documented response to streamflow, water temperature, and water quality. The goal was to identify opportunities for aligning data collection to help maximize information gained from additional monitoring. Fifty-two publications were compiled from the literature that were completed within the study area between 1964 and 2022. Of these publications, 19 were fish and invertebrate focused. Overall, the distribution of fish and invertebrates in the Fountain Creek Basin has changed since the early 1900s. The occurrence of several fish species has increased or decreased since 2003, and a few species have not been collected in more than 100 years. Several mayfly, stonefly, and caddisfly taxa once common at several locations before 2000 are now rarely encountered, and those that now occur more frequently are associated with warmer-water streams. Decreasing invertebrate multimetric index values were noted at six locations, and the invasive <i>Potamopyrgus antipodarum</i> (New Zealand mud snail) is now established at two locations and occurs at several others, but in low numbers. Various streamflow characteristics were frequently noted to affect spatial and temporal patterns in fish and invertebrate communities, including early development and recruitment of <i>Platygobio gracilis</i> (flathead chub). Water quality and temperature contributed to patterns in aquatic communities, but less is known about the direct effects as these data were inconsistently available. Reach-scale habitat also contributed to patterns in aquatic communities, especially measures associated with the streambank, stream channel, and composition of streambed substrate. Moving forward, aligning consistent streamflow, water temperature, water quality, and geomorphic data collection at fish-, invertebrate-, and habitat-monitoring locations could maximize information gained from monitoring efforts and potentially inform evolving management activities and interests within the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245074","collaboration":"Prepared in cooperation with Colorado Springs Utilities and Colorado Springs Stormwater Enterprise","usgsCitation":"Zuellig, R.E., Wahl, C.F., Hennessy, E.K., Jouney, A., and Foutz, P., 2024, Evaluation and review of ecology-focused stream studies to support cooperative monitoring, Fountain Creek Basin, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5074, 30 p., https://doi.org/10.3133/sir20245074.","productDescription":"Report: vii, 30 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-158983","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":497958,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117504.htm","linkFileType":{"id":5,"text":"html"}},{"id":462209,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245074/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5074"},{"id":462156,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5074/images"},{"id":462112,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91QQ6GT","text":"USGS data release","linkHelpText":"Datasets for Evaluation and Review of Ecology-Focused Stream Studies, Fountain Creek Basin, Colorado"},{"id":462111,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5074/sir20245074.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5074"},{"id":462110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5074/coverthb.jpg"},{"id":462157,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5074/sir20245074.xml"}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.45322123672925,\n              39.26331261795599\n            ],\n            [\n              -105.45322123672925,\n              38.0924698636114\n            ],\n            [\n              -104.3145085834951,\n              38.0924698636114\n            ],\n            [\n              -104.3145085834951,\n              39.26331261795599\n            ],\n            [\n              -105.45322123672925,\n              39.26331261795599\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water/\" data-mce-href=\"https://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments </li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Supplemental Evaluation and Review of Ecology-Focused Stream Studies</li><li>Major Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1. References from Literature Review</li></ul>","publishedDate":"2024-09-24","noUsgsAuthors":false,"publicationDate":"2024-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Charles F. 0000-0003-3411-851X","orcid":"https://orcid.org/0000-0003-3411-851X","contributorId":335253,"corporation":false,"usgs":true,"family":"Wahl","given":"Charles","email":"","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hennessy, Erin K. 0000-0003-3436-0699","orcid":"https://orcid.org/0000-0003-3436-0699","contributorId":300634,"corporation":false,"usgs":true,"family":"Hennessy","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jouney, Alex","contributorId":344346,"corporation":false,"usgs":false,"family":"Jouney","given":"Alex","email":"","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":913578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foutz, Paul","contributorId":344347,"corporation":false,"usgs":false,"family":"Foutz","given":"Paul","email":"","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":913579,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259221,"text":"70259221 - 2024 - Influences of meteorological conditions, runoff, and bathymetry on summer thermal regime of a Great Lakes estuary","interactions":[],"lastModifiedDate":"2024-10-02T14:34:21.031908","indexId":"70259221","displayToPublicDate":"2024-09-24T09:28:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Influences of meteorological conditions, runoff, and bathymetry on summer thermal regime of a Great Lakes estuary","docAbstract":"<p><span>To better understand the primary drivers of the thermal regime in a Great Lakes estuary, and their implications for local biota, water temperature variations in the Milwaukee Estuary of Lake Michigan were studied between July and October of 2019 using a network of 25 sensors at 18 locations. Like Lake Michigan, the estuary was thermally stratified July to October, and historically dredged channels with water depths greater than 6&nbsp;m allowed for the free movement of cold lake water into the estuary. However, temperatures in the estuary fluctuated rapidly both spatially and temporally, reflecting lake temperature fluctuations driven by changing meteorological conditions. Lake-driven upwelling and downwelling events influenced water temperature more than tributary contributions. Periodic upwelling and downwelling events caused temperature changes by up to 15&nbsp;°C in less than 24&nbsp;h. Nearshore upwelling events occasionally allowed cold, hypolimnetic lake water to reach tributary portions of the estuary beyond dredged areas, while downwelling events disrupted thermal stratification and caused the deep, dredged portions of the estuary to exceed 20&nbsp;°C. Thermal impacts from these events were especially noticeable in transition zones between dredged and not dredged channels less than 2&nbsp;m deep. The warming effects from downwelling persisted longer inside the estuary – up to two weeks – than cooling effects from upwelling, which typically lasted a few days. The predominantly lake-driven, rapid summer water temperature fluctuations observed in the Milwaukee Estuary serve as an important consideration in habitat restoration activities happening in Great Lakes estuaries.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102416","usgsCitation":"Stefaniak, O.M., Fitzpatrick, F., Dow, B.A., Blount, J.D., Sullivan, D.J., and Reneau, P., 2024, Influences of meteorological conditions, runoff, and bathymetry on summer thermal regime of a Great Lakes estuary: Journal of Great Lakes Research, v. 50, no. 5, 102416, 14 p., https://doi.org/10.1016/j.jglr.2024.102416.","productDescription":"102416, 14 p.","ipdsId":"IP-141345","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102416","text":"Publisher Index Page"},{"id":462484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.9583,\n              43.0667\n            ],\n            [\n              -87.9583,\n              43\n            ],\n            [\n              -87.89167,\n              43\n            ],\n            [\n              -87.89167,\n              43.0667\n            ],\n            [\n              -87.9583,\n              43.0667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stefaniak, Owen M. 0000-0001-5394-8338 ostefaniak@usgs.gov","orcid":"https://orcid.org/0000-0001-5394-8338","contributorId":271143,"corporation":false,"usgs":true,"family":"Stefaniak","given":"Owen","email":"ostefaniak@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209540,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dow, Brennan A.","contributorId":344687,"corporation":false,"usgs":false,"family":"Dow","given":"Brennan","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":914521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":204322,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914524,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258081,"text":"70258081 - 2024 - The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning","interactions":[],"lastModifiedDate":"2024-11-22T16:08:59.048285","indexId":"70258081","displayToPublicDate":"2024-09-23T17:17:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning","docAbstract":"<p><span>The advent of machine learning techniques has led to a proliferation of landscape classification products. These approaches can fill gaps in wetland inventories across the United States (U.S.) provided that large reference datasets are available to develop accurate models. In this study, we tested the feasibility of expediting the classification process by sourcing requisite training and testing data from existing national-scale land cover maps instead of customized sample sets. We created a single map of water and wetland presence by intersecting water and wetland classes from available land cover products (National Wetland Inventory, Gap Analysis Project, National Land Cover Database and Dynamic Surface Water Extent) across the U.S. state of Arizona, which has fewer wetland-specific mapping products than other parts of the U.S. We derived classified samples for four wetland classes from the combined map: open water, herbaceous wetlands, wooded wetlands and non-wetland cover. In Google Earth Engine, we developed a random forest model that combined the training data with spatial predictor variables, including vegetation greenness indices, wetness indices, seasonal index variation, topographic parameters and vegetation height metrics. Results show that the final model separates the four classes with an overall accuracy of 86.2%. The accuracy suggests that existing datasets can be effectively used to compile machine learning training samples to map wetlands in arid landscapes in the U.S. These methods hold promise for the generation of wetland inventories at more frequent intervals, which could allow more nuanced investigations of wetland change over time in response to anthropogenic and climatic drivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5985","usgsCitation":"Soulard, C.E., Walker, J., Smith, B.W., and Kreitler, J.R., 2024, The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning: Earth Surface Processes and Landforms, v. 49, no. 14, p. 4632-4649, https://doi.org/10.1002/esp.5985.","productDescription":"18 p.","startPage":"4632","endPage":"4649","ipdsId":"IP-158309","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":462417,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70258672,"text":"gip242 - 2024 - The U.S. Geological Survey National Streamgage Network—2023","interactions":[],"lastModifiedDate":"2025-12-23T22:13:42.116878","indexId":"gip242","displayToPublicDate":"2024-09-23T11:33:40","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"242","displayTitle":"The U.S. Geological Survey National Streamgage Network—2023","title":"The U.S. Geological Survey National Streamgage Network—2023","docAbstract":"<p>The U.S. Geological Survey (USGS) operated 11,850 continuous surface-water monitoring locations (streamgages) across the United States in 2023. The streamgages provide information on river height and streamflow, typically at 15-minute intervals. This information is then made available to everyone, most of it delivered nearly in realtime on the USGS National Water Dashboard.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip242","usgsCitation":"McCallum, B.E., 2024, The U.S. Geological Survey National Streamgage Network—2023: U.S. Geological Survey General Information Product 242, https://doi.org/10.3133/gip242.","productDescription":"1 p.","onlineOnly":"N","ipdsId":"IP-163973","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481890,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip243","text":"GIP 243","description":"GIP 243","linkHelpText":"— U.S. Geological Survey Groundwater Climate Response Network—2023"},{"id":462132,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0242/gip242.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 242"},{"id":462131,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0242/gip242.jpg"},{"id":481891,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481892,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip245","text":"GIP 245","description":"GIP 245","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Surface Water—2023"},{"id":497959,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117498.htm","linkFileType":{"id":5,"text":"html"}},{"id":481893,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"}],"contact":"<p><a href=\"mailto:bemccall@usgs.gov\" data-mce-href=\"mailto:bemccall@usgs.gov\">National Streamgage Networks Coordinator</a><br><a href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\">Observing Systems Division</a><br>Water Mission Area<br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, Georgia 30093</p>","publishedDate":"2024-09-23","noUsgsAuthors":false,"publicationDate":"2024-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"McCallum, Brian E. 0000-0002-8935-0343 bemccall@usgs.gov","orcid":"https://orcid.org/0000-0002-8935-0343","contributorId":1591,"corporation":false,"usgs":true,"family":"McCallum","given":"Brian","email":"bemccall@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913623,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70258516,"text":"sir20245046 - 2024 - Groundwater and surface-water interactions in the Lower Duwamish Waterway, Seattle, Washington","interactions":[],"lastModifiedDate":"2025-12-23T22:15:55.273826","indexId":"sir20245046","displayToPublicDate":"2024-09-23T08:38:10","publicationYear":"2024","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":"2024-5046","displayTitle":"Groundwater and Surface-Water Interactions in the Lower Duwamish Waterway, Seattle, Washington","title":"Groundwater and surface-water interactions in the Lower Duwamish Waterway, Seattle, Washington","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Washington State Department of Ecology (Ecology), conducted a study to describe the current understanding of the regional groundwater system of the lower Duwamish River valley and groundwater and surface-water interactions in the lower Duwamish Waterway. The lower Duwamish Waterway is the final 5-mile (mi) reach of the Duwamish River before it empties into Elliott Bay in Puget Sound near Seattle, Washington. A nearshore site (hereinafter referred to as “Nearshore Site” to distinguish the particular site from general discussions of nearshore areas) along the western shoreline of the Duwamish River, about 1.5 mi upstream from the river mouth, was selected for focused groundwater data collection by USGS. Data loggers were deployed in seven groundwater wells and one stilling well in the Duwamish River to measure specific conductance, temperature, and depth at 15-minute intervals for a period of about 2 years.</p><p>At the Nearshore Site during 2020–22, water levels in the shallow wells were 3–8 feet (ft) higher than water levels in the deep wells, providing evidence for a low-permeability layer between the shallow and deep aquifers in this area. The shallow wells had a pronounced seasonal variability, with high water levels in winter and low water levels in summer. Data from the deep wells showed far less seasonal variability, with slight increases in winter and a near-constant water level from spring to autumn. The deep wells had a strong hydraulic connection to the Duwamish River, as evidenced by the synchronous water-level variability during the tidal cycle, whereas the shallow wells had minimal to no tidal response. The potentiometric maps developed for the Nearshore Site and surrounding areas indicate large differences in groundwater-flow directions for the shallow and deep aquifers at low and high tides. For the shallow aquifer, flow is toward the lower Duwamish Waterway near the Nearshore Site, regardless of the tidal condition. For the deep aquifer, a potentiometric trough forms parallel to the shoreline during high tide, indicating that groundwater flow converges from the uplands to the west and the Duwamish River to the east. The geometry of the potentiometric surfaces between the nearshore-most well and the shoreline is complex and is further confounded by intermittent shoreline armoring and other buried infrastructure, which could serve as either a barrier or a conduit to flow.</p><p>Groundwater and surface-water interactions in the lower Duwamish Waterway are inherently complex as a result of three overarching factors. First, water levels in the lower reaches of the Duwamish River vary daily by 11–16 ft because of tides from Puget Sound, which create large swings in the hydraulic gradient in the nearshore groundwater system. Second, the density and chemical composition of water in the Duwamish River change daily with the tides and seasonally, which constrains how river water entering the nearshore sediments interacts with discharging groundwater. Third, the nearshore subsurface and shoreline conditions are heterogenous because of extensive shoreline armoring over the past century, which governs the flow of groundwater and infiltrating river water. These unique features of groundwater and surface-water interactions in the lower Duwamish Waterway thus govern the transport of terrestrial contaminants to the lower Duwamish Waterway. Furthermore, the heterogenous aquifer properties in the lower Duwamish Waterway contribute to spatially and temporally dynamic contaminant-transport processes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245046","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Mitchell, J.N., and Conn, K.E., 2024, Groundwater and surface-water interactions in the Lower Duwamish Waterway, Seattle, Washington: U.S. Geological Survey Scientific Investigations Report 2024–5046, 43 p., https://doi.org/10.3133/sir20245046.","productDescription":"Report: vi, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-158073","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":497961,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117497.htm","linkFileType":{"id":5,"text":"html"}},{"id":434877,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5046/sir20245046.XML"},{"id":434876,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5046/images"},{"id":434875,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1F7QX42","text":"USGS data release","description":"USGS data release","linkHelpText":"Data in support of groundwater- and surface-water-interactions report— Groundwater and surface-water interactions in the Lower Duwamish Waterway, Seattle, Washington"},{"id":434874,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245046/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5046"},{"id":434873,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5046/sir20245046.pdf","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5046"},{"id":434872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5046/sir20245046.jpg"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Lower Duwamish Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.45687695827122,\n              47.691936104689205\n            ],\n            [\n              -122.45687695827122,\n              47.28\n            ],\n            [\n              -122,\n              47.28\n            ],\n            [\n              -122,\n              47.691936104689205\n            ],\n            [\n              -122.45687695827122,\n              47.691936104689205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/washington-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/washington-water-science-center\">Washington Water Science Center</a><br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of the Study Area</li><li>Data and Methods</li><li>Evaluation of Site-Specific Characteristics in a Nearshore Site</li><li>Regional Conceptual Groundwater Model</li><li>Groundwater and Surface-Water Interactions</li><li>Data Gaps and Uncertainties</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-09-23","noUsgsAuthors":false,"publicationDate":"2024-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Jackson N. 0000-0002-9289-6240 jnmitchell@usgs.gov","orcid":"https://orcid.org/0000-0002-9289-6240","contributorId":207734,"corporation":false,"usgs":true,"family":"Mitchell","given":"Jackson","email":"jnmitchell@usgs.gov","middleInitial":"N.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913330,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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