Volcanic debris flows that originate at potentially active volcanoes are called lahars. Lahars are like debris flows in non-volcanic terrain but can most notably differ in origin and size. Primary lahars occur during eruptions and may have novel origins such as turbulent mixing of hot rock moving across ice- and snow-clad volcanoes and eruptions through crater lakes. Lahars range in volume to more than a cubic kilometer (109 m3), with the biggest ones caused by huge deep-seated flank collapses of water-saturated edifice rock. Because they can be so voluminous, can have high water contents, and commonly can be clay rich, these lahars can travel tens to even hundreds of kilometers. Long transport causes evolution of flow types from flood flow to hyperconcentrated flow to debris flow. Lahars capable of traveling far downstream are commonly sufficiently liquefied that they drape valley slopes and leave behind thin deposits as they pass downstream. Only in valley bottoms are lahars likely to emplace thick deposits, and even there the deposits are apt to be much thinner than peak flow depths. Flows with long transport change character with time and distance downstream. Deposits, especially those in valley bottoms, can accrete during intervals that represent a significant proportion of the time it takes the flow to pass (typically minutes). The combination of flows changing character and their progressive accretion imposes distinctive characteristics on their deposits such as normal and inverse grading. Historically, lahars have caused thousands of fatalities and destroyed entire towns. Perhaps the most disastrous known lahar occurred in 1985 at Nevado del Ruiz in Colombia and killed more than 23,000 people. Since that disaster, an increasing awareness of lahar hazards has led to efforts to mitigate them. In recent decades, improved land-use decisions, monitoring and communication have improved hazard responses and saved many lives. Lahar hazard maps and development of lahar inundation models have helped planners and people at risk to better understand the nature of the risk owing to lahars.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in debris-flow science and practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-48691-3_12","usgsCitation":"Vallance, J.W., 2024, Lahars: Origins, behavior and hazards, chap. of Advances in debris-flow science and practice, p. 347-381, https://doi.org/10.1007/978-3-031-48691-3_12.","productDescription":"35 p.","startPage":"347","endPage":"381","ipdsId":"IP-149909","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"editors":[{"text":"Jakob, Matthias","contributorId":82179,"corporation":false,"usgs":true,"family":"Jakob","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":922171,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McDougall, Scott","contributorId":194908,"corporation":false,"usgs":false,"family":"McDougall","given":"Scott","email":"","affiliations":[],"preferred":false,"id":922172,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Santi, Paul","contributorId":347682,"corporation":false,"usgs":false,"family":"Santi","given":"Paul","affiliations":[],"preferred":false,"id":922173,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922161,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70252473,"text":"sir20245008 - 2024 - A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","interactions":[],"lastModifiedDate":"2026-02-02T22:15:49.88748","indexId":"sir20245008","displayToPublicDate":"2024-03-28T09:44:52","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":"2024-5008","displayTitle":"A Comparison of Contemporary and Historical Hydrology and Water Quality in the Foothills and Coastal Plain of the Arctic National Wildlife Refuge, Arctic Slope, Northern Alaska","title":"A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","docAbstract":"The Arctic National Wildlife Refuge is a unique landscape in northern Alaska with limited water resources, substantial biodiversity of rare and threatened species, as well as oil and gas resources. The region has unique hydrology related to perennial springs, and the formation of large aufeis fields—sheets of ice that grow in the river channels where water reaches the surface in the winter and freezes. This work aims to update our understanding of water resources and water quality in the springs, streams, rivers, and lakes of this region, returning to sites sampled by the U.S. Geological Survey in the 1970s. We resampled eight streams, four springs, and six lakes for hydrological metrics, water quality, and macroinvertebrates, and recalculated flood-frequency metrics for rivers using updated data and modern techniques. Aufeis field melt rates were also assessed for the past several decades. Although the available data preclude trend determinations in most cases, our analysis and comparison to the historical sampling indicates an increase in dissolved ions for streams and springs, faster and earlier aufeis melt, and similar macroinvertebrate populations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245008","usgsCitation":"Koch, J.C., Best, H., Baughman, C., Couvillion, C., Carey, M.P., and Conaway, J., 2024, A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5008, 24 p., https://doi.org/10.3133/sir20245008.","productDescription":"Report: viii, 24 p.; 2 Data Releases; Correction Note","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-151990","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":499422,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116206.htm","linkFileType":{"id":5,"text":"html"}},{"id":498378,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2024/5008/correctionNote.txt","text":"Correction note","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":430506,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KK98VP","text":"USGS data release","description":"USGS data release","linkHelpText":"Rasters of observed aufeis deposits within rivers of the 1002 Area based on historical Landsat imagery, 1985-2022"},{"id":430429,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X34VHM","text":"USGS data release","description":"USGS data release","linkHelpText":"Macroinvertebrates from streams and springs in the 1002 region of the Arctic National Wildlife Refuge, Alaska, 2021"},{"id":427077,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.XML"},{"id":427076,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5008/images"},{"id":427075,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5008"},{"id":427074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5008"},{"id":427073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.35991062435545,\n 70.47943246978403\n ],\n [\n -147.35991062435545,\n 68.94103321326239\n ],\n [\n -141.60307468685548,\n 68.94103321326239\n ],\n [\n -141.60307468685548,\n 70.47943246978403\n ],\n [\n -147.35991062435545,\n 70.47943246978403\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508
There is a significant need to develop decision support tools capable of delivering accurate representations of environmental conditions, such as ground and surface water solute concentrations, in a timely and computationally efficient manner. Such tools can be leveraged to assess a large number of potential management strategies for mitigating non-point source pollutants. Here, we assess the effectiveness of the impulse-response emulation approach to approximate process-based groundwater model estimates of solute transport from MODFLOW and MT3D over a wide range of model inputs and parameters, with the goal of assessing where in parameter space the assumptions underlying this emulation approach are valid. The impulse-response emulator was developed using the sensitivity analysis utilities in the PEST++ software suite and is capable of approximating MODFLOW/MT3D estimates of solute transport over a large portion of the parameter space tested, except in cases where the Courant number is above 0.5. Across all runs tested, the highest percent errors were at the plume fronts. These results suggest that the impulse-response approach may be suitable for emulation of solute transport models for a wide range of cases, except when high-resolution outputs are needed, or when very low concentrations at plume edges are of particular interest.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13405","usgsCitation":"Heerspink, B.P., Fienen, M., and Reeves, H.W., 2024, Evaluation of an impulse-response emulator for groundwater contaminant transport modeling: Groundwater, v. 62, no. 6, p. 945-956, https://doi.org/10.1111/gwat.13405.","productDescription":"12 p.","startPage":"945","endPage":"956","ipdsId":"IP-153543","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498231,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13405","text":"Publisher Index Page"},{"id":429517,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":435013,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13J3TCG","text":"USGS data release","linkHelpText":"Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Heerspink, Brent Porter 0000-0001-7591-5115","orcid":"https://orcid.org/0000-0001-7591-5115","contributorId":337146,"corporation":false,"usgs":true,"family":"Heerspink","given":"Brent","email":"","middleInitial":"Porter","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252472,"text":"ofr20241014 - 2024 - Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","interactions":[],"lastModifiedDate":"2024-06-21T19:11:07.137467","indexId":"ofr20241014","displayToPublicDate":"2024-03-27T10:44:49","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":"2024-1014","displayTitle":"Assessing Influence from Wastewater Treatment Facilities on Glorieta Creek and the Pecos River Within Pecos National Historical Park, New Mexico, February–October 2022","title":"Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","docAbstract":"The Pecos National Historical Park protects 2.9 miles of the Pecos River and part of Glorieta Creek within the park boundaries. Updated water-quality data can assist resource managers in determining if effluent from two nearby wastewater treatment plants (WWTPs) is affecting the quality of the water in the Pecos River and Glorieta Creek within the park. Water samples were collected four times in 2022 at two WWTP outfalls, two locations on Glorieta Creek, and two locations on the Pecos River. Water quality parameters (dissolved oxygen, water temperature, pH, turbidity, specific conductance) were measured in the field, and samples were collected and analyzed for major ions, trace elements, rare earth elements, nutrients, bacteria, and per- and polyfluoroalkyl substances (PFAS).
Specific conductance values in all samples collected from Glorieta Creek exceeded the New Mexico Surface Water Quality Standard (NMWQS) of 300 microsiemens per centimeter at 25 degrees Celsius. Concentrations of dissolved oxygen in three samples collected from Glorieta Creek and one sample for the Pecos WWTP did not meet the standard for high-quality cold-water use. Concentrations of Escherichia coli in samples from the Pecos WWTP exceeded the NMWQS of 235 colony-forming units per 100 milliliters during every sampling event. Concentrations of E. coli in samples collected from two sites on Glorieta Creek in August exceeded the NMWQS.
The chemical signature of water from Glorieta Creek indicated groundwater and (or) septic system contributions. Water samples collected from the Pecos River all had similar chemical signatures of calcium-bicarbonate type. Although concentrations of several trace elements were higher in samples from Glorieta Creek than in samples from the Pecos River, no concentrations exceeded the drinking-water standards. No concentrations exceeded aquatic life standards except for copper concentrations in two samples from the downstream location on Glorieta Creek. The trace element signature and the gadolinium anomalies in the WWTP samples indicate anthropogenic contributions.
Eleven of the 28 PFAS compounds analyzed were detected in samples during this study, with the treated wastewater effluent samples having the highest total PFAS concentrations. The total PFAS concentrations in samples from Glorieta Creek decreased by an order of magnitude as the creek flowed downstream. At the downstream site on the Pecos River, there was only one sample that had a detection of PFAS.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in a desert environment, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip238","usgsCitation":"Love, S., Hill, S., Carling, G., Lemonte, J., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Desert [poster]: U.S. Geological Survey General Information Product 238, https://doi.org/10.3133/gip238.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154490","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/238/coverthb.jpg"},{"id":426706,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426707,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/238/gip238.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 238"},{"id":426783,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/238/gip238_print.pdf","text":"Report","size":"49.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 238","linkHelpText":"High-resolution file for printing"},{"id":426703,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426704,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426705,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426708,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is on the coast, how water moves, and different ways that water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip232","usgsCitation":"Love, S., Hill, S., Gill, R., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Coast [poster]: U.S. Geological Survey General Information Product 232, https://doi.org/10.3133/gip232.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154489","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426672,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426671,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426670,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426669,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426668,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426525,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/232/gip232.pdf","text":"Report","size":"23.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 232"},{"id":426777,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/232/gip232_print.pdf","text":"Report","size":"52.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 232","linkHelpText":"High-resolution file for printing"},{"id":426667,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/232/coverthb.jpg"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in the suburbs, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip236","usgsCitation":"Hale, M., Wright, A., Hill, S., Abbott, B., Lee, R., Wood, R., Bailey, E., Nixon, R., Hale, R., Corson-Dosch, H.R., Nell, C., and Song, K., 2024, Where is the water? Suburban [poster]: U.S. Geological Survey General Information Product 236, https://doi.org/10.3133/gip236.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154492","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426694,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/236/coverthb.jpg"},{"id":426533,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/236/gip236.pdf","text":"Report","size":"17.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 236"},{"id":426781,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/236/gip236_print.pdf","text":"Report","size":"35.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 236","linkHelpText":"High-resolution file for printing"},{"id":426692,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426693,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426695,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426696,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426691,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates agricultural water use, how water moves, and different ways that water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip234","usgsCitation":"Love, S., Hill, S., Hopkins, B., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Agriculture [poster]: U.S. Geological Survey General Information Product 234, https://doi.org/10.3133/gip234.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154488","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426681,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/234/coverthb.jpg"},{"id":426529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/234/gip234.pdf","text":"Report","size":"3.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 234"},{"id":426779,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/234/gip234_print.pdf","text":"Report","size":"27.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 234","linkHelpText":"High-resolution file for printing"},{"id":426679,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426680,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426682,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426684,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426683,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in urban environments, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip233","usgsCitation":"Love, S., Hill, S., Hopkins, B., Abbott, B., Lee, R., Wood, R., Bailey, E., Nixon, R., Corson-Dosch, H.R., Nell, C., and Hale, R., 2024, Where is the water? Urban [poster]: U.S. Geological Survey General Information Product 233, https://doi.org/10.3133/gip233.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154493","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426677,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426676,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426675,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426674,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426673,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426778,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/233/gip233_print.pdf","text":"Report","size":"41.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 233","linkHelpText":"High-resolution file for printing"},{"id":426678,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426526,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/233/coverthb.jpg"},{"id":426527,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/233/gip233.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 233"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in forests, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip237","usgsCitation":"Love, S., Hill, S., Carling, G., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Forest [poster]: U.S. Geological Survey General Information Product 237, https://doi.org/10.3133/gip237.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154491","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426699,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426700,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426702,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/237/coverthb.jpg"},{"id":426535,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/237/gip237.pdf","text":"Report","size":"6.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 237"},{"id":426782,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/237/gip237_print.pdf","text":"Report","size":"29.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 237","linkHelpText":"High-resolution file for printing"},{"id":426697,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426698,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426701,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
The water cycle describes how water moves from Earth’s surface into the atmosphere, then back to the surface again or to below Earth’s surface. This educational poster depicts five key water-cycle processes that transport or transform water between states: evaporation, transpiration, condensation, precipitation, and infiltration. It illustrates examples of natural and human interactions with these processes. This poster is intended for eighth-grade audiences.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip235","usgsCitation":"Anderson, E., Hill, S., Nixon, R., Abbott, B., Lee, R., Wood, R., Carling, G., Hopkins, B., Corson-Dosch, H.R., Nell, C., and Bailey, E., 2024, Water cycle processes [poster]: U.S. Geological Survey General Information Product 235, https://doi.org/10.3133/gip235.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-154487","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426689,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426688,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426687,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426686,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426685,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426780,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235_print.pdf","text":"Report","size":"3.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235","linkHelpText":"High-resolution file for printing"},{"id":426531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235.pdf","text":"Report","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235"},{"id":426530,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/235/coverthb.jpg"},{"id":426690,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
In response to the increasing frequency of cyanobacterial harmful algal blooms (CyanoHABs) in the Finger Lakes region of New York State, a pilot study by the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, was conducted to enhance CyanoHAB monitoring and understanding. High-frequency sensors were deployed on open water monitoring-station platforms at Seneca Lake in 2019–20, at Owasco Lake in 2019–20, and at Skaneateles Lake in 2019. One of the goals of this study was to evaluate the ability of in-place sensors to make representative measurements of dissolved organic matter, nutrients, and algal pigments (as indicators of phytoplankton biomass) while collecting routine field parameters (water temperature, specific conductance, pH, dissolved oxygen, turbidity, weather, and light) to provide additional information about environmental conditions.
Despite challenges like power issues and sensor fouling, the sensors performed well overall. However, correlation analyses between sensor readings and laboratory measurements revealed variable performance. Results indicate the relation between the fluorescent dissolved organic matter sensor and laboratory-measured dissolved organic carbon was weak at all study lakes. The nitrate sensors can be sensitive to ambient temperature and have a substantial power requirement, and the relation between sensor- and laboratory-measured nitrate values differed among lakes. The orthophosphate sensors, which were complex and prone to data loss, yielded results that were difficult to interpret because orthophosphate detections are rare in the study lakes. The multichannel fluorometer was also complex to use and required several unique procedures for its operation.
Chlorophyll measurements from the fluorometers correlated moderately well with laboratory-measured chlorophyll-a, although relations with total phytoplankton biovolume were weaker. Relations between phycocyanin concentration measurements from the dual-channel fluorometers and cyanobacterial biovolume were not significant; however, the cyanobacterial biovolume correlation was moderately strong with chlorophyll contribution from cyanobacteria measurements from the multichannel fluorometer. Of all collected parameters, water temperature was among the strongest correlated with chlorophyll-a, total phytoplankton biovolume, and cyanobacterial biovolume.
Stepwise regression analysis was used to identify the best parameters for modeling variance in laboratory measures of phytoplankton biomass. This analysis included factors such as chlorophyll fluorescence, pH, water temperature, and others, which varied by lake. Overall, the models had limited explanatory power for chlorophyll-a and other biovolumes, possibly due to the absence of CyanoHABs at the open-water monitoring locations. Multivariate models did not outperform simple fluorescence-based models. Notably, turbidity was a more significant indicator of cyanobacterial biovolume variability than phycocyanin from dual-channel fluorometers.
The study concludes that while single and multivariate models based on sensor data are useful, they did not explain any more variance than fluorescence-based models. Broader data collection, including more CyanoHAB events, is necessary to refine these models. Integrating machine learning could leverage large, complex datasets to improve CyanoHAB predictions, thereby enhancing the management and understanding of these blooms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245010","usgsCitation":"Johnston, B.D., Finkelstein, K.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., Savoy, P.R., Rosen, J.J., and Jennings, M.B., 2024, Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020: U.S. Geological Survey Scientific Investigations Report 2024–5010, 54 p., https://doi.org/10.3133/sir20245010.","productDescription":"Report: vii, 54 p.; 2 Data Releases","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151193","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":426806,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9T1D","text":"USGS data release","linkHelpText":"Phytoplankton data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes region, New York, 2019–2020 (ver. 2.1, June 2023)"},{"id":426805,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2019 and 2020"},{"id":426804,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5010/images/"},{"id":426803,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.XML"},{"id":426802,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5010 HTML"},{"id":499423,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116207.htm","linkFileType":{"id":5,"text":"html"}},{"id":426800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5010/coverthb.jpg"},{"id":426801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5010 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.18392460037663,\n 43.28424086245511\n ],\n [\n -78.18392460037663,\n 42.10263922827107\n ],\n [\n -76.00088907460236,\n 42.10263922827107\n ],\n [\n -76.00088907460236,\n 43.28424086245511\n ],\n [\n -78.18392460037663,\n 43.28424086245511\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
We investigated wetland vegetation before, during, and after dike construction at the Metzger Marsh project in western Lake Erie, which was designed to restore a 300-ha wetland that had been degraded following the loss of a protective barrier beach. A dike was constructed in 1995 to replace the function of the eroded barrier beach, but it contained a water-control structure to allow managed hydrologic connection to the lake. The control structure contained a fish passageway to allow movement of fish across the dike, while restricting entry of large common carp. Color-infrared aerial photos from project start in 1994 through 2010 (and 2022) were analyzed to track vegetation changes, and major vegetation types were sampled quantitatively. Drawdown of water levels in 1996 after dike construction elicited a response of mudflat species from the seed bank, as well as tree seedlings. Over half of the marsh was vegetated then and in subsequent years. The water-control structure was opened in 1998, and by 2000, invasive Phragmites australis had gained dominance. Most trees were eventually eliminated by herbicide treatment and flooding, and extent of Phragmites was reduced by management actions. Typha spp. and emergents Sagittaria latifolia and Schoenoplectus tabernaemontani became dominant by 2022. This restoration project increased habitat values for fish and wildlife; it also provided lessons for future projects on lands managed by multiple agencies with differing missions. More importantly, it showed that long-term monitoring data are critical for assessing wetland restoration projects and guiding management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102309","usgsCitation":"Wilcox, D., Kowalski, K., and Bozimowski, A.A., 2024, The Metzger marsh restoration: A vegetation-centric look after 27 years: Journal of Great Lakes Research, v. 50, no. 2, 102309, 12 p., https://doi.org/10.1016/j.jglr.2024.102309.","productDescription":"102309, 12 p.","ipdsId":"IP-157465","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":427396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Metzger Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.21526317873082,\n 41.63861198193294\n ],\n [\n -83.24120906559943,\n 41.650434477459726\n ],\n [\n -83.2513342897436,\n 41.64523284668019\n ],\n [\n -83.25101787648906,\n 41.63813903699173\n ],\n [\n -83.23867775956381,\n 41.63766608857978\n ],\n [\n -83.21526317873082,\n 41.63861198193294\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":898064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozimowski, Alexandra A 0000-0002-0835-1089","orcid":"https://orcid.org/0000-0002-0835-1089","contributorId":328563,"corporation":false,"usgs":true,"family":"Bozimowski","given":"Alexandra","email":"","middleInitial":"A","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252694,"text":"70252694 - 2024 - Controls on in-stream nitrogen loss in western Lake Erie tributaries","interactions":[],"lastModifiedDate":"2024-04-03T14:15:02.853271","indexId":"70252694","displayToPublicDate":"2024-03-26T07:00:49","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":"Controls on in-stream nitrogen loss in western Lake Erie tributaries","docAbstract":"Management efforts to reduce cyanobacterial harmful algal blooms (cHABs) in the Great Lakes have focused on decreasing tributary inputs of phosphorus (P). Recent research has indicated that reduction of both P and nitrogen (N) can lessen cHABs severity. Microbially mediated N cycling in streambed sediment may reduce N riverine loads, yet little is known about in-stream N processing rates in the Maumee River Basin, a major source of nutrients to Lake Erie. During summer of 2019 and 2021, we sampled streambed sediment to measure potential nitrification and denitrification rates using the acetylene block method at 78 sites throughout the Maumee River network. We used structural equation models to identify indirect and direct drivers of denitrification. Precipitation was greater in 2019, resulting in a 67 % increase in mean discharge, 41 % of farm fields to be fallow, and a 50 % reduction in fertilizer use. During summer field surveys, median stream-water nitrate concentrations were not different between 2019 and 2021. Median denitrification rates were 13.3 mg N/m2/h and 31.2 mg N/m2/h, respectively, indicating high potential to remove N. Nitrate concentrations and nitrification rates were strong direct drivers of denitrification, especially in 2019 when coupled nitrification–denitrification sustained denitrification. Nitrate concentrations varied with land use. Notably, nitrate concentrations increased with the area of fallow land, which may indicate the presence of a legacy N source. These findings indicate that promoting streambed denitrification could reduce N loads to Lake Erie, but legacy N currently stored in the system may mask N reduction efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102284","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Breckner, K.J., Williamson, T.N., Hood, J.M., Manning, N., and Johnson, L.T., 2024, Controls on in-stream nitrogen loss in western Lake Erie tributaries: Journal of Great Lakes Research, v. 50, no. 2, 102284, https://doi.org/10.1016/j.jglr.2024.102284.","productDescription":"102284","ipdsId":"IP-155751","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Michigan, Ohio","otherGeospatial":"Maumee River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.1,\n 42\n ],\n [\n -85.1,\n 40.52\n ],\n [\n -83,\n 40.52\n ],\n [\n -83,\n 42\n ],\n [\n -85.1,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breckner, Kenna Jean 0000-0002-8358-7825","orcid":"https://orcid.org/0000-0002-8358-7825","contributorId":301096,"corporation":false,"usgs":true,"family":"Breckner","given":"Kenna","email":"","middleInitial":"Jean","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":897946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manning, Nathan F.","contributorId":211818,"corporation":false,"usgs":false,"family":"Manning","given":"Nathan F.","affiliations":[],"preferred":false,"id":897947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Laura T.","contributorId":301097,"corporation":false,"usgs":false,"family":"Johnson","given":"Laura","email":"","middleInitial":"T.","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":897948,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70252508,"text":"70252508 - 2024 - Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2024-03-27T11:43:31.996794","indexId":"70252508","displayToPublicDate":"2024-03-26T06:40:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","docAbstract":"Terrestrial wildlife species are important yet often overlooked taxa in the recovery of ecosystems following dam removal. Their presence can shape ecosystem recovery, signal restoration of ecosystem function, and influence food web dynamics and nutrient transfer. We used camera traps to examine seasonal use of two former reservoir beds and an upstream reference reach by the mammalian community following the removal of two large dams on the Elwha River, Washington, USA. For certain taxa, we compared current species use to data collected prior to dam removal. Camera traps revealed use by at least fifteen mammal species, including but not limited to American black bear (Ursus americanus), Columbian black-tailed deer (Odocoileus hemionus columbianus), Roosevelt elk (Cervus elaphus roosevelti), puma (Puma concolor), coyotes (Canis latrans), bobcats (Lynx rufus), and snowshoe hares (Lepus americanus). Coyotes were found mostly lower in the watershed outside the Olympic National Park boundary, while other species were distributed throughout the restoration area. We did not see major differences in species composition between the restoration areas and the upstream reference reach, though number of detections across study reaches differed for most species. Unlike previous findings, black bears were observed across all seasons in this study, suggesting a shift in seasonal use since dam removal. Full restoration of the terrestrial wildlife community could take decades to unfold, but early patterns demonstrate rapid establishment and use by wildlife on new riparian surfaces that are expected to continue to evolve with restoration of fish and vegetation communities.
Historical activities on the Bremerton Naval Complex (BNC) in Puget Sound, Washington, have resulted in Sinclair Inlet sediments with elevated concentrations of contaminants, including organic contaminants such as polychlorinated biphenyls and trace elements including mercury. Six U.S. Geological Survey–U.S. Navy datasets have been collected since the last major assessment, in 2013, of soil and groundwater contaminant transport pathways and mercury loading estimates from the BNC to Sinclair Inlet. These include:
The results were incorporated into an updated Conceptual Site Model and used to update contaminant load estimates from the terrestrial BNC to Sinclair Inlet. The results from these studies provide data to the U.S. Navy to support prioritization of on-going remediation actions to manage contamination on the BNC that reduce potential impacts to Sinclair Inlet sediment, surface water, and fish and shellfish tissue.
Mercury isotope analysis of surface sediments and particulate material indicated that a similar industrial mercury profile is present throughout Puget Sound, including terrestrial and marine BNC samples and in other Sinclair Inlet sediments and persists across regions with low and elevated mercury concentrations. Two sources of mercury at the BNC are Sites 1 and 2 subsurface soils/fill material, with total mercury concentrations in particulates collected from the bottom of monitoring wells drilled in these materials ranging from 18,000 to 44,000 nanograms per gram (as compared to the Washington State Marine Sediment Cleanup Screening Level of 590 nanograms per gram).
Contaminants are transported from the terrestrial BNC to Sinclair Inlet via three primary pathways, (1) stormwater outfalls, (2) dry dock discharges, and (3) direct discharge along unwalled shorelines.
Previous loading estimates (based on filtered total mercury) ranked stormwater outfalls, particularly outfall PSNS015 in Site 2 soils, as the largest soil and groundwater contaminant transport pathway from the terrestrial BNC to Sinclair Inlet. Updated loading estimates in this report suggest that the dry dock systems may be a larger pathway of mercury from the terrestrial BNC to Sinclair Inlet than previously thought, within the same order of magnitude as the PSNS015 storm-drain system.
Trace-element loads via direct shoreline discharge are difficult to estimate due to the large and dynamic tidal mixing zone of groundwater and seawater in the nearshore along unwalled shorelines. However, current best estimated ranges suggest that direct shoreline discharge is one of the three main pathways and may contribute smaller mercury loads than the stormwater and the dry dock systems. Along unwalled shorelines, direct groundwater discharge of terrestrial contaminants may be less important than recirculating seawater in the nearshore mixing zone that can extract contaminants from nearshore subsurface material. Total estimated mercury loads from the terrestrial BNC to Sinclair Inlet range from approximately 40 to 200 grams of filtered total mercury per year and a minimum of 70–350 grams of particulate total mercury per year, for a minimum total of 110–525 grams of whole (filtered plus particulate) total mercury per year. Data gaps are identified that, if filled, would further refine the Conceptual Site Model and contaminant loading estimates from the terrestrial BNC to Sinclair Inlet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245011","collaboration":"Prepared in cooperation with U.S. Department of the Navy","usgsCitation":"Conn, K.E., Janssen, S.E., Opatz, C.C., and Bright, V.A.L., 2024, A conceptual site model of contaminant transport pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21 (ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2024–5011, 111 p., https://doi.org/10.3133/sir20245011.","productDescription":"Report: x, 111 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-142440","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499424,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116205.htm","linkFileType":{"id":5,"text":"html"}},{"id":426852,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.XML"},{"id":426851,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5011/images"},{"id":427851,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5011/VersionHistory.txt","description":"Version History"},{"id":426850,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K9P8G2","text":"USGS data release","description":"USGS data release","linkHelpText":"Particulate mercury isotope results, fiber optic thermal survey data, and nearshore surface sediment results at the Bremerton Naval Complex, Washington, USA, 2020-21"},{"id":426849,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FCYGV","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington"},{"id":426848,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245011/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5011"},{"id":426847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.pdf","text":"Report","size":"36.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5011"},{"id":426846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Sinclair Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.75191725882988,\n 47.580405375032115\n ],\n [\n -122.75191725882988,\n 47.50997977336348\n ],\n [\n -122.60639127716968,\n 47.50997977336348\n ],\n [\n -122.60639127716968,\n 47.580405375032115\n ],\n [\n -122.75191725882988,\n 47.580405375032115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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Tacoma, Washington 98402
Two interagency workshops were held in 2019 and 2023 in Fort Collins, Colorado, to discuss the use of novel data in recreation monitoring. During the workshops, the phrase “novel data in recreation monitoring” was primarily used to refer to data from social media, mobile device applications, and other online secondary sources. The goals of these workshops were to share information across agencies and researchers on the state of the science and applications for using novel data and to collectively discuss best practices for using novel data for understanding recreation on public lands and waters. Presentations during the workshops focused on use-cases, current applications, and the current state of research (as of the time of the workshops) for using novel data in recreation monitoring. Group discussions during the workshops focused on the strengths and limitations of novel data sources, potential approaches for integrating new and emerging data sources and methods with traditional approaches, and research and management needs. This report provides the proceedings of the 2019 and 2023 interagency workshops on novel data in recreation monitoring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245013","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis, U.S. Department of Agriculture Forest Service, and University of Washington","programNote":"Land Management Research Program","usgsCitation":"Wilkins, E.J., Crowley, C.S.L., White, E.M., Wood, S.A., and Schuster, R., 2024, Novel data in recreation monitoring—Summary proceedings from interagency workshops in 2019 and 2023: U.S. Geological Survey Scientific Investigations Report 2024–5013, 24 p., https://doi.org/10.3133/sir20245013.","productDescription":"vi, 24 p.","onlineOnly":"Y","ipdsId":"IP-154663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":427101,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245013/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5013"},{"id":427100,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5013/images"},{"id":426971,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.xml"},{"id":426930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5013"},{"id":426929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5013/coverthb.jpg"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
The U.S. Geological Survey (USGS), in cooperation with the National Park Service, investigated groundwater gains and losses on the upper White River within Mount Rainier National Park in Washington. This investigation was conducted using stream discharge measurements at 14 locations within 7 reaches over a 6.5-mile river length from near the White River’s origin at the terminus of the Emmons Glacier on Mount Rainier to the White River Entrance near the northeast boundary of Mount Rainier National Park. Locations selected for the stream discharge measurements were on the main channel of the White River and on tributary streams near their confluence with the White River.
A soil-water-balance (SWB) model analysis was also performed on the White River basin to estimate groundwater recharge throughout the basin during the time of the study. Analyses were made for the White River basin at the sub-basin (zone) scale to determine groundwater input to the stream for individual stream reaches. The gridded SWB model was simulated at a 10-meter (m) horizontal resolution, where recharge simulations were constructed using five spatially distributed datasets. Daily climate data as input for the simulation included gridded daily precipitation and air temperature.
Upon analysis of the seepage run results, three of the seven reaches showed groundwater gains in this study. The SWB model results were used in conjunction with the baseflow gain totals in the reaches to estimate the length of time for recharge to become base flow. Further analysis estimated the rates of groundwater flow in the zones with adjacent gaining reaches. A streamflow gain curve was created from a simple flow model for each of the zones to relate the recharge from the zones to the adjacent reaches on the White River and tributaries. The fit of the streamflow gain curve to the calculated streamflow gain during the seepage run was used to analyze where the recharge from each zone resulted as streamflow gain. Consecutive reach losses from zones D and L were immediately followed downstream by a relatively large gain in zone GH, indicating that the gain in the reach adjacent to zone GH could be from the recharge in zones D and L.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245015","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Fuhrig, L.T., Long, A.J., and Headman, A.O., 2024, Evaluation of groundwater resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020 (ver. 1.1, March 2024): U.S. Geological Survey Scientific Investigations Report 2024–5015, 19 p., https://doi.org/10.3133/sir20245015.","productDescription":"Report: vi, 19 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-148848","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":499425,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116204.htm","linkFileType":{"id":5,"text":"html"}},{"id":426941,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.XML"},{"id":426940,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5015/images"},{"id":426939,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KI310W","text":"USGS data release","description":"USGS data release","linkHelpText":"Soil water balance model of the White River basin, Mount Rainier National Park, Washington, USA"},{"id":427249,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5015/versionHistory.txt"},{"id":426938,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245015/full","linkFileType":{"id":5,"text":"html"}},{"id":426937,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.pdf","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5015"},{"id":426936,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.66827303334932,\n 47.34261069492973\n ],\n [\n -122.66827303334932,\n 46.07710849497087\n ],\n [\n -120.72369295522444,\n 46.07710849497087\n ],\n [\n -120.72369295522444,\n 47.34261069492973\n ],\n [\n -122.66827303334932,\n 47.34261069492973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 25, 2024; Version 1.1: March 29, 2024","contact":"Director, Washington Water Science Center
U.S. Geological Survey
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Tacoma, Washington 98402
Accurate prediction of water quality and quantity is crucial for sustainable development and human well-being. However, existing data-driven methods often suffer from spatial biases in model performance due to heterogeneous data, limited observations, and noisy sensor data. To overcome these challenges, we propose Fair-Graph, a novel graph-based recurrent neural network that leverages interrelated knowledge from multiple rivers to predict water flow and temperature within large-scale stream networks. Additionally, we introduce node-specific graph masks for information aggregation and adaptation to enhance prediction over heterogeneous river segments. To reduce performance disparities across river segments, we introduce a centralized coordination strategy that adjusts training priorities for segments. We evaluate the prediction of water temperature within the Delaware River Basin, and the prediction of streamflow using simulated data from U.S. National Water Model in the Houston River network. The results showcase improvements in predictive performance and highlight the proposed model's ability to maintain spatial fairness over different river segments.
","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","doi":"10.1609/aaai.v38i20.30212","usgsCitation":"He, E., Xie, Y., Sun, A.Y., Zwart, J.A., Yang, J., Jin, Z., Wang, Y., Karimi, H.A., and Jia, X., 2024, Fair graph learning using constraint-aware priority adjustment and graph masking in river networks: Proceedings of the AAAI Conference on Artificial Intelligence, v. 38, no. 20, p. 22087-22095, https://doi.org/10.1609/aaai.v38i20.30212.","productDescription":"9 p.","startPage":"22087","endPage":"22095","ipdsId":"IP-158367","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":440050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1609/aaai.v38i20.30212","text":"Publisher Index Page"},{"id":427821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.19185307052085,\n 38.71562965387949\n ],\n [\n -74.4374506373952,\n 38.7070541171185\n ],\n [\n -74.13043021159795,\n 41.597382404326765\n ],\n [\n -75.720357416618,\n 41.63871233834436\n ],\n [\n -76.19185307052085,\n 38.71562965387949\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2024-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Erhu","contributorId":329980,"corporation":false,"usgs":false,"family":"He","given":"Erhu","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Yiqun","contributorId":297447,"corporation":false,"usgs":false,"family":"Xie","given":"Yiqun","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":898945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":898946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":898947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Jie","contributorId":335648,"corporation":false,"usgs":false,"family":"Yang","given":"Jie","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Zhenong","contributorId":297865,"corporation":false,"usgs":false,"family":"Jin","given":"Zhenong","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Yang","contributorId":173071,"corporation":false,"usgs":false,"family":"Wang","given":"Yang","email":"","affiliations":[],"preferred":false,"id":898950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karimi, Hassan Ali","contributorId":335649,"corporation":false,"usgs":false,"family":"Karimi","given":"Hassan","email":"","middleInitial":"Ali","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70253890,"text":"70253890 - 2024 - Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study","interactions":[],"lastModifiedDate":"2024-07-01T14:43:11.240846","indexId":"70253890","displayToPublicDate":"2024-03-24T10:11:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17625,"text":"Diabetes Care","active":true,"publicationSubtype":{"id":10}},"title":"Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study","docAbstract":"We examined the association of arsenic in federally regulated community water systems (CWSs) and unregulated private wells with type 2 diabetes (T2D) incidence in the Strong Heart Family Study (SHFS), a prospective study of American Indian communities, and the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective study of racially and ethnically diverse urban U.S. communities.
We evaluated 1,791 participants from SHFS and 5,777 participants from MESA who had water arsenic estimates available and were free of T2D at baseline (2001–2003 and 2000–2002, respectively). Participants were followed for incident T2D until 2010 (SHFS cohort) or 2019 (MESA cohort). We used Cox proportional hazards mixed-effects models to account for clustering by family and residential zip code, with adjustment for sex, baseline age, BMI, smoking status, and education.
T2D incidence was 24.4 cases per 1,000 person-years (mean follow-up, 5.6 years) in SHFS and 11.2 per 1,000 person-years (mean follow-up, 14.0 years) in MESA. In a meta-analysis across the SHFS and MESA cohorts, the hazard ratio (95% CI) per doubling in CWS arsenic was 1.10 (1.02, 1.18). The corresponding hazard ratio was 1.09 (0.95, 1.26) in the SHFS group and 1.10 (1.01, 1.20) in the MESA group. The corresponding hazard ratio (95% CI) for arsenic in private wells and incident T2D in SHFS was 1.05 (0.95, 1.16). We observed statistical interaction and larger magnitude hazard ratios for participants with BMI <25 kg/m2 and female participants.
Low to moderate water arsenic levels (<10 µg/L) were associated with T2D incidence in the SHFS and MESA cohorts.
","language":"English","publisher":"American Diabetes Association","doi":"10.2337/dc23-2231","usgsCitation":"Spaur, M., Galvez-Fernandez, M., Chen, Q., Lombard, M.A., Bostick, B., Factor-Litvak, P., Fretts, A., Shea, S., Navas-Acien, A., and Nigra, A., 2024, Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study: Diabetes Care, v. 47, no. 7, p. 1143-1151, https://doi.org/10.2337/dc23-2231.","productDescription":"9 p.","startPage":"1143","endPage":"1151","ipdsId":"IP-159826","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":440052,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2337/dc23-2231","text":"External Repository"},{"id":428359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaur, Maya","contributorId":257947,"corporation":false,"usgs":false,"family":"Spaur","given":"Maya","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galvez-Fernandez, Marta","contributorId":336125,"corporation":false,"usgs":false,"family":"Galvez-Fernandez","given":"Marta","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Qixuan","contributorId":318224,"corporation":false,"usgs":false,"family":"Chen","given":"Qixuan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bostick, Benjamin","contributorId":257949,"corporation":false,"usgs":false,"family":"Bostick","given":"Benjamin","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":900010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Factor-Litvak, Pam","contributorId":336127,"corporation":false,"usgs":false,"family":"Factor-Litvak","given":"Pam","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fretts, Amanda","contributorId":336128,"corporation":false,"usgs":false,"family":"Fretts","given":"Amanda","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":900012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Steven","contributorId":336129,"corporation":false,"usgs":false,"family":"Shea","given":"Steven","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Navas-Acien, Ana","contributorId":257950,"corporation":false,"usgs":false,"family":"Navas-Acien","given":"Ana","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nigra, Anne E","contributorId":257951,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne E","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900015,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70256586,"text":"70256586 - 2024 - Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","interactions":[],"lastModifiedDate":"2024-08-22T16:38:45.585477","indexId":"70256586","displayToPublicDate":"2024-03-23T11:38:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","title":"Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","docAbstract":"Prymnesium parvum is a harmful alga found in brackish waters worldwide whose toxins can be lethal to aquatic organisms. Established field methods to control blooms of this species, however, are unavailable. Earlier studies showed that various extracts of giant reed (Arundo donax) can suppress P. parvum growth and that ellipticine, an allelochemical present in giant reed, is a potent algicide against this species. The unintended effects of giant reed products on nontarget organisms, however, are not fully understood. This study determined the effects of giant reed leachate (aqueous extract of dried chips) and ellipticine on growth of P. parvum and the green microalga Chlorella sorokiniana; survival and reproduction of the planktonic crustacean Daphnia pulex; and hatching success, larval survival, and larval swimming behavior of the teleost fish Danio rerio. Leachate made with 3 g chips L−1 was lethally toxic to P. parvum and D. pulex, stimulated C. sorokiniana growth, and impaired D. rerio behavior. Leachate at 1 g L−1 fully suppressed P. parvum growth, had moderate effects on D. pulex reproductive output, and had no effects on D. rerio. Ellipticine at 0.01 mg L−1 irreversibly inhibited P. parvum growth, acutely but reversibly inhibited C. sorokiniana growth, slightly delayed D. pulex reproduction, and had no effects on D. rerio. These observations suggest that when applied at appropriate concentrations, natural products derived from giant reed can be used as tools to specifically control P. parvum growth with minimal effects on nontarget species.
","language":"English","publisher":"MDPI","doi":"10.3390/w16070930","usgsCitation":"Mary, M.A., Tabora-Sarmiento, S., Nash, S., Mayer, G.D., Crago, J., and Patino, R., 2024, Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum: Water, v. 16, no. 7, 930, 12 p., https://doi.org/10.3390/w16070930.","productDescription":"930, 12 p.","ipdsId":"IP-159702","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16070930","text":"Publisher Index Page"},{"id":433072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mary, Mousumi A.","contributorId":341256,"corporation":false,"usgs":false,"family":"Mary","given":"Mousumi","email":"","middleInitial":"A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabora-Sarmiento, Shisbeth","contributorId":341257,"corporation":false,"usgs":false,"family":"Tabora-Sarmiento","given":"Shisbeth","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nash, Sarah","contributorId":341258,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Gregory D.","contributorId":172783,"corporation":false,"usgs":false,"family":"Mayer","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":908154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crago, Jordan","contributorId":341260,"corporation":false,"usgs":false,"family":"Crago","given":"Jordan","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":908156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256404,"text":"70256404 - 2024 - The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes","interactions":[],"lastModifiedDate":"2024-08-01T15:19:23.908763","indexId":"70256404","displayToPublicDate":"2024-03-22T10:19:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes","docAbstract":"Nearly one in five reptile species is at risk of extinction. Changes in habitat area, its configuration, and vegetation diversity could affect habitat use, but their relative importance is understudied. We assessed how these factors affected reptile presence in agricultural landscapes figure in Iowa, United States, using 695 cover boards visited 16,441 times in 2015–2020. Species-wise encounter rates ranged 0.0001–0.012. Eight of 11 species and 54.2% of individuals were species of greatest conservation need. Habitat area, configuration, and vegetation diversity influenced reptile presence similarly. Mean patch occupancy was 0.18 for common garter snake (CG, Thamnophis sirtalis) and 0.45 for all snakes (AS). Naïve presence was explained by effort (odds ratio [OR]AS = 1.83, ORCG = 1.79), vegetation diversity (ORAS = 1.28, ORCG = 1.28), woody cover (ORAS = 1.24, ORCG = 1.41), and patch size (ORAS = 1.30). Large patch prairies were more likely to contain snakes than other conservation practices (\uD835\uDC5F̂encounter = 0.291), and more likely to contain CG (0.098) than prairie contour strips (0.031), waterways (0.018), grass contour strips (0.016), or terraces (0.015). While we documented low overall reptile presence, their higher presence in large prairie patches underscores the importance of core nature reserves for reptile conservation.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13100","usgsCitation":"Stephenson, M.D., Schulte, L.A., and Klaver, R.W., 2024, The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes: Conservation Science and Practice, v. 6, no. 4, e13100, 16 p., https://doi.org/10.1111/csp2.13100.","productDescription":"e13100, 16 p.","ipdsId":"IP-152690","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13100","text":"Publisher Index Page"},{"id":432033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.22124038615748,\n 42.82477121925069\n ],\n [\n -95.22124038615748,\n 41.12043796716799\n ],\n [\n -91.13952782789761,\n 41.12043796716799\n ],\n [\n -91.13952782789761,\n 42.82477121925069\n ],\n [\n -95.22124038615748,\n 42.82477121925069\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Matthew D.","contributorId":274318,"corporation":false,"usgs":false,"family":"Stephenson","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Lisa A.","contributorId":274319,"corporation":false,"usgs":false,"family":"Schulte","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":907271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257194,"text":"70257194 - 2024 - Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","interactions":[],"lastModifiedDate":"2024-08-13T15:19:28.725216","indexId":"70257194","displayToPublicDate":"2024-03-22T10:12:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","docAbstract":"Freshwater mussels provide invaluable ecological services but are threatened by habitat alteration, poor water quality, invasive species, climate change, and contaminants, including contaminants of emerging concern (CECs). Contaminants of emerging concerns are well documented in aquatic environments, including the Great Lakes Basin, but limited information is available on how environmentally relevant mixtures affect freshwater mussel biology throughout their varied life stages. Our main goal was to assess mussels' reproductive output in response to exposure to agricultural and urban CEC mixtures during glochidial development through juvenile transformation and excystment focusing on how exposure duration and treatment affect: (1) the number of glochidia prematurely released by brooding females, (2) glochidial transformation through host-fish excystment, and (3) the number of fully metamorphosed juveniles able to continue the lifecycle. Mussels and host fish were exposed to either a control water (CW), control ethanol (CE), agriculture CEC mixture (AM), or urban CEC mixture (UM) for 40 and 100 days. We found no effect from treatment or exposure duration on the number of glochidia prematurely released. Fewer partially and fully metamorphosed AM juveniles were observed during the 100-day exposure, compared with the 40-day. During the 40-day exposure, CW produced more fully metamorphosed individuals compared with CE and UM, but during the 100-day exposure AM produced more fully metamorphosed individuals compared with the CW. There was reduction in fully metamorphosed juveniles compared with partially metamorphosed for CE and UM during the 40-day exposure, as well as in the CW during the 100-day exposure. These results will be important for understanding how mussel populations are affected by CEC exposure. The experiments also yielded many insights for laboratory toxicology exposure studies.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5844","usgsCitation":"Richard, M.A., Elliott, S.M., Hummel, S.L., Woolnough, D., Rzodkiewicz, L.D., Gill, S., Rappold, J., and Annis, M., 2024, Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1112-1125, https://doi.org/10.1002/etc.5844.","productDescription":"24 p.; Data Release","startPage":"1112","endPage":"1125","ipdsId":"IP-150504","costCenters":[],"links":[{"id":440057,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5844","text":"Publisher Index Page"},{"id":435015,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFLVII","text":"USGS data release","linkHelpText":"Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018"},{"id":432599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Richard, Molly Anne 0000-0002-2663-5130","orcid":"https://orcid.org/0000-0002-2663-5130","contributorId":340509,"corporation":false,"usgs":true,"family":"Richard","given":"Molly","email":"","middleInitial":"Anne","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":909694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woolnough, D.A.","contributorId":83370,"corporation":false,"usgs":true,"family":"Woolnough","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":909696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rzodkiewicz, Lacey D.","contributorId":342117,"corporation":false,"usgs":false,"family":"Rzodkiewicz","given":"Lacey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":909697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, Stephanie","contributorId":340795,"corporation":false,"usgs":false,"family":"Gill","given":"Stephanie","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":909698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rappold, Justin","contributorId":342118,"corporation":false,"usgs":false,"family":"Rappold","given":"Justin","email":"","affiliations":[],"preferred":false,"id":909699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Annis, Mandy mannis@usgs.gov","contributorId":150368,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy","email":"mannis@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":909700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70252615,"text":"70252615 - 2024 - Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","interactions":[],"lastModifiedDate":"2024-07-15T14:54:36.864148","indexId":"70252615","displayToPublicDate":"2024-03-22T06:49:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","title":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","docAbstract":"Coastal flooding affects low-lying communities worldwide and is expected to increase with climate change, especially along reef-lined coasts, where wave-driven flooding is particularly prevalent. However, current regional modeling approaches are either insufficient or too computationally expensive to accurately assess risks in these complex environments. This study introduces and validates an improved computationally efficient and physics-based approach to compute dynamic wave-driven regional flooding on reef-lined coasts. We coupled a simplified-physics flood model (SFINCS) with a one-dimensional wave transformation model (XBeach-1D). To assess the performance of the proposed approach, we compared its results with results from a fully resolving two-dimensional wave transformation model (XBeach-2D). We applied this approach for a range of storms and sea-level rise scenarios for two contrasting reef-lined coastal geomorphologies: one low relief area and one high relief area. Our findings reveal that SFINCS coupled with XBeach-1D generates flood extents comparable to those produced by XBeach-2D, with a hit rate of 92%. However, this method tends to underpredict the flood extent of weaker, high-frequency storms and overpredict stronger, low-frequency storms. Across scenarios, our approach overpredicted the mean flood water depth, with a positive bias of 7 cm and root mean square difference of 15 cm. Offering approximately 100 times greater computational efficiency than its two-dimensional XBeach counterpart, this flood modeling technique is recommended for wave-driven flood modeling in scenarios with high computational demands, such as modeling numerous scenarios or undertaking detailed regional-scale modeling.