The U.S. Geological Survey, in cooperation with the Upper Gunnison River Water Conservancy District, studied historical streamflow in a reach of the East River, Colorado, to gain a preliminary understanding of return flow dynamics. Return flow is agricultural irrigation water that is not consumed by evapotranspiration and instead reaches streams by surface and subsurface flow paths. The study reach had a contributing area of 50 square miles and contained 5.23 square miles of pastures irrigated with water diverted from the East River and its tributaries. By comparing upstream inflows to downstream outflows, the net water balance of the study reach from 1994 to 2023 was assessed.
Two general hydrologic conditions for the study reach were identified. One hydrologic condition was characterized by a net loss or consumption of water, termed here as general deficit. This general deficit condition extended about 16 years, from 1997 to 2012. During general deficit years, there was usually a notable net loss of streamflow from April through July, and a small net gain, possibly related to return flows, occurred in August about 75 days after the minimums for losses. The second hydrologic condition was characterized by a net gain of water, termed here as general surplus. This second condition extended about 10 years, from 2014 to 2023. During general surplus years, two separate transitions from net loss to net gain commonly occurred during June through August. Losses during general surplus years were smaller than losses during general deficit years, the respective gains were larger, and times between losses and gains were about 18 and 22 days.
Differences between the two hydrologic conditions could reflect interactions among irrigation water, available capacity to store additional shallow groundwater, and streamflow. However, deciphering the causes for the shifts between the two general hydrologic conditions was beyond the scope of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241075","collaboration":"Prepared in cooperation with Upper Gunnison River Water Conservancy District","usgsCitation":"Bern, C.R., and Gidley, R.G., 2024, Agricultural return flow dynamics on a reach of the East River, Colorado, as assessed by mass balance: U.S. Geological Survey Open-File Report 2024–1075, 10 p., https://doi.org/10.3133/ofr20241075.","productDescription":"Report: iv, 10 p.; Database","onlineOnly":"Y","ipdsId":"IP-170543","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":494235,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118077.htm","linkFileType":{"id":5,"text":"html"}},{"id":465116,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241075/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1075"},{"id":465073,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1075/ofr20241075.xml"},{"id":465072,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1075/images"},{"id":464952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1075/ofr20241075.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1075"},{"id":464954,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":464951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1075/coverthb.jpg"}],"country":"United states","state":"Colorado","otherGeospatial":"East River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.966667,\n 38.8333\n ],\n [\n -106.966667,\n 38.6333\n ],\n [\n -106.766667,\n 38.6333\n ],\n [\n -106.766667,\n 38.8333\n ],\n [\n -106.966667,\n 38.8333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
Nitrogen dynamics in intertidal and nearshore subtidal groundwater (subterranean estuary) adjacent to the Seacoast Shores peninsula, Falmouth, Massachusetts, were investigated during 2015–16 by the U.S. Geological Survey. The peninsula is a densely populated residential area with septic systems and cesspools that are substantial sources of nitrogen to groundwater. The study area is in the Eel River, an estuarine saltwater embayment connected to the ocean adjacent to the western shore of the peninsula, that was the subject of an earlier study by Colman and others (2018, https://doi.org/10.3133/sir20185095) on nitrogen transport and transformations in groundwater between onshore and offshore locations. The previous study documented the distribution of nitrate concentrations and nitrate attenuation reactions in fresh groundwater beneath the peninsula and the estuary. The current study extended those observations with more detailed sampling and analysis of shallow groundwater from wells near discharge sites beneath the estuary. The current field investigation included sampling of existing wells and installation and sampling of clusters of wells and temporary sampling points in the subterranean estuary, including (1) shallow transects 0.3 to 1.2 meters (m) deep extending from 1 to 13.5 m offshore and (2) deeper wells (from 1.83 to 4.88 m deep) extending from 4.3 to 14.3 m offshore.
Measurements of hydraulic-head gradients 2–5 m below the sediment/water interface in the intertidal and nearshore subtidal zones indicated that groundwater flow generally was upwards (towards the estuary) under all tide conditions in October 2016. The magnitude of the gradient was greatest during low tide conditions, indicating that groundwater discharge likely decreased during high tides.
Measurements of specific conductance in shallow groundwater in the subterranean estuary in three transects perpendicular to shore were consistent with the existence of saltwater flow cells (infiltration of overlying saline water, mixing with fresh groundwater, and discharge to the overlying saline water) in the intertidal and nearshore subtidal regions. The size of these flow cells was variable in space and time and dependent on the elevation of the tide (spring or neap). At this location in the Eel River subterranean estuary, and offshore to at least 13.5 m, offshore flow of fresh groundwater apparently prevented a deeper saltwater wedge from discharging to the surface.
Nitrate concentrations in shallow groundwater (30 to 122 centimeters [cm] depth) were variable in space and time, ranging from not detectable to 600 micromoles per liter (μmol/L) (8.4 milligrams per liter as N), and were highest in June 2016 at depths from 61 to 122 cm below the sediment/water interface and from 4 to 9 m offshore. Nitrate generally was not detectable in saline shallow groundwater at 30-cm depth or at any depth from 30 to 122 cm from 10 to 13.5 m offshore. Dissolved oxygen concentrations were suboxic (less than 16 μmol/L) in 60 percent of the sampled subterranean groundwater beneath the intertidal and subtidal zones. In the remaining sites, the range of dissolved oxygen concentrations was from 18 to 272 μmol/L and the median concentration was 43 μmol/L.
Evidence for microbial nitrate reduction (denitrification and possibly anammox) was provided by the distribution of the reaction product nitrogen gas (excess N2, or N2MIC), as determined from analysis of the dissolved nitrogen gas and argon gas (Ar) concentrations in groundwater samples. Excess nitrogen gas provided evidence for nitrate reduction in shallow groundwater below the subtidal and, to a lesser extent, intertidal zones adjacent to the Seacoast Shores peninsula. These zones, where evidence for nitrate reduction was detected, were in fresh and brackish groundwater near subtidal or intertidal saltwater cells where discharging fresh groundwater mixed with infiltrating saline water. Infiltrating seawater may have supplied organic carbon, one of several potential electron donors that are required for denitrification. Other potential electron donors, such as organic carbon, iron, manganese, hydrogen, methane, ammonium, elemental sulfur, or sulfide phases, may have been supplied by the estuarine sediments. Drainage from surface runoff near the shore also may have supplied organic carbon to fresh groundwater near the intertidal saltwater cell.
The highest amounts of nitrate converted to excess nitrogen gas were estimated to be in the range of 230 to 430 μmol/L in nearly fresh groundwater near the subtidal saltwater cell at depths of 61 to 122 cm below the sediment/water interface and from 10 to 13.5 m offshore. Evidence of denitrification within 10 m of the shore was sparse (generally limited to less than 50 μmol/L of N2-N) despite the presence of high nitrate concentrations. The spatial distribution of estimated nitrate reduction in the intertidal and nearshore subtidal fresh and brackish groundwater may be related to local variability in the distribution of reactive electron donors in those zones. Variations in the amount of nitrate reduction to nitrogen gas were not clearly related to potential aqueous electron donors such as dissolved organic carbon, nor to potential reaction products such as alkalinity, but may have been controlled by combinations of aqueous and solid-phase reactants. The distribution of relatively shallow fresh groundwater containing nitrate could indicate potential nitrate discharge areas in the lower intertidal zone and uncertain locations farther offshore; however, the data did not extend all the way to the sediment/water interface or to the offshore freshwater limit. This study confirmed substantial loss of nitrate from some of the fresh and brackish groundwater in shallow subestuarine sediments prior to discharge but did not quantify how much nitrate eventually discharged to the estuary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245100","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Office of Research and Development and Region 1 (New England)","programNote":"Environmental Health Program, Coastal/Marine Hazards and Resources Program","usgsCitation":"Huntington, T.G., Kroeger, K.D., McCobb, T.D., Böhlke, J.K., Colman, J.A., Brooks, T.W., and Szymczycha, B., 2024, Evidence of nitrate attenuation in intertidal and subtidal groundwater in a subterranean estuary at a Cape Cod embayment, East Falmouth, Massachusetts, 2015–16: U.S. Geological Survey Scientific Investigations Report 2024–5100, 45 p., https://doi.org/10.3133/sir20245100.","productDescription":"Report: ix, 45 p.; Data Release","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-128353","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":495118,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118080.htm","linkFileType":{"id":5,"text":"html"}},{"id":464963,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20185095","text":"Scientific Investigations Report 2018–5095","linkHelpText":"Geochemical conditions and nitrogen transport in nearshore groundwater and the subterranean estuary at a Cape Cod embayment, East Falmouth, Massachusetts, 2013–14"},{"id":464958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5100/sir20245100.pdf","text":"Report","size":"8.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5100 PDF"},{"id":464961,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5100/images/"},{"id":464962,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13LGNTT","text":"USGS data release","linkHelpText":"Geochemical data supporting analysis of fate and transport of nitrogen in the nearshore groundwater and subterranean estuary near East Falmouth, Massachusetts, 2015–2016"},{"id":464960,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5100/sir20245100.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5100 XML"},{"id":464959,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245100/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5100 HTML"},{"id":464957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5100/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod Embayment, East Falmouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.5439543201461,\n 41.57096045380911\n ],\n [\n -70.5439543201461,\n 41.5648296072948\n ],\n [\n -70.53931798288792,\n 41.5648296072948\n ],\n [\n -70.53931798288792,\n 41.57096045380911\n ],\n [\n -70.5439543201461,\n 41.57096045380911\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
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As New Jersey’s population density remains high, so does its requirements for water management. Understanding the streamflow conditions throughout the state and how they may have changed over time is an important part of managing the water resources within the state. The New Jersey Department of Environmental Protection has many responsibilities related to protecting the environment and natural resources and among them is protecting the waters in the lakes, rivers, and streams of New Jersey for current and future use. To support this mission, the U.S. Geological Survey updated high- and low-streamflow statistics for 97 continuous-record streamgages and low-streamflow statistics for 719 partial-record streamgages throughout the state. The continuous-record streamgages included in the study had a minimum of 20 years of record, spanning from 1903 to 2017.
This study is an update to previous studies that documented the high- and low-streamflow statistics for New Jersey streams in the 1970s and in 2005. The 1982 report by Gillespie and Schopp documented low-flow characteristics and flow duration for about 400 continuous and partial-record streamgages. The U.S. Geological Survey computed streamflow statistics including, but not limited to, maximum, minimum, and means for period of record, flow durations, nonexceedance high- and low-flow frequencies, base flow, runoff, peak-to-mean flow ratios, and September median streamflow.
Overall, both high and low flows are generally increasing in New Jersey, though the results are not uniform across the State. Streamflow trends and changes to duration and frequency statistics can be influenced by local water use, in addition to climate variables. The resulting computations at some streamgages indicated considerable positive change while others showed considerable negative change. Water managers and regulators can use the data provided here and in the companion data release to assess individual stream reaches and watershed management areas to evaluate the available resources and changes, which may have developed during the periods for which streamflow statistics are available.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245099","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"McHugh, A.R., Suro, T.P., Sullivan, S.L., and Williams, B.M., 2024, Streamflow characteristics and trends in New Jersey, water years 1903–2017: U.S. Geological Survey Scientific Investigations Report 2024–5099, 59 p., https://doi.org/10.3133/sir20245099.","productDescription":"Report: vi, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144654","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":464947,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5099/sir20245099.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5099 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Jersey\",\"nation\":\"USA \"}}]}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Freshwater harmful algal blooms (HABs) formed by blue-green algae, or cyanobacteria, have emerged as a global environmental problem. Their negative impacts on aquatic ecosystems can affect the benefits nature provides to human society by reducing water quality; inhibiting aquatic recreation; killing fish, wildlife, and pets; and posing a risk to human health. To manage harmful algal blooms, the Engineer Research and Development Center of the U.S. Army Corps of Engineers is developing an advanced technology called the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS), which has been tested in pilot demonstrations upstream of spillways at HAB-affected waterbodies in Florida.
The U.S. Geological Survey and cooperators from the U.S. Department of the Interior Office of Policy Analysis investigated the societal benefits of HABITATS technology by using data from an actual 2018 harmful algal bloom in Lake Okeechobee to characterize the observed societal impacts and then comparing observed effects to hypothetical scenarios of HABITATS deployment. This study estimated an economic value of $5.5 million in foregone recreation as a result of closed boating ramp facilities and other restrictions on aquatic recreation such as fishing and swimming during the 2018 cyanobacteria harmful algal bloom outbreak. The change in housing sales prices that could have resulted from murky water or bad odor during that outbreak was estimated as $2.3 million. The team also investigated drinking water contamination and human illness but did not find significant societal impacts in this case. If HABITATS had been deployed, the avoided losses less the cost of management could have provided net societal benefits that ranged between negative $2.1 million and positive $0.8 million, depending on the vertical distribution of algae in the water column and the HABITATS version used. The study’s estimated societal benefit is undoubtedly a lower bound estimate because current scientific knowledge is inadequate to characterize, or monetize, all the impacts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245091","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis","usgsCitation":"Boubacar, I., Pindilli, E., Brown, E., Simon, B., Skrabis, K., and Luby, I., 2024, Societal benefits of cyanobacteria harmful algal bloom management in Lake Okeechobee in Florida—Potential damages avoided during the 2018 event under U.S. Army Corps of Engineers Harmful Algal Bloom Interception, Treatment, and Transformation System scenarios: U.S. Geological Survey Scientific Investigations Report 2024–5091, 45 p., https://doi.org/10.3133/sir20245091.","productDescription":"viii, 45 p.","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150304","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":463780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5091/coverthb.jpg"},{"id":463781,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5091/sir20245091.pdf","text":"Report","size":"3.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5091 PDF"},{"id":465046,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245091/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5091 HTML"},{"id":465047,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5091/sir20245091.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5091 XML"},{"id":465048,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5091/images/"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.71054671420583,\n 26.687775426716726\n ],\n [\n -80.58954039907944,\n 26.917874571459976\n ],\n [\n -80.63426012423493,\n 27.05617802730012\n ],\n [\n -80.68424099352616,\n 27.141653409197076\n ],\n [\n -80.7920944483125,\n 27.21419764747064\n ],\n [\n -80.88416447069157,\n 27.15803848776676\n ],\n [\n -81.13538410318226,\n 26.9729819104991\n ],\n [\n -81.08671851992459,\n 26.83105527322678\n ],\n [\n -80.98412620927402,\n 26.7958392807315\n ],\n [\n -80.8960020449971,\n 26.737121664610214\n ],\n [\n -80.81050845278828,\n 26.686600255683558\n ],\n [\n -80.74737472315748,\n 26.68189945039616\n ],\n [\n -80.71054671420583,\n 26.687775426716726\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Center Director, Science and Decisions Center
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No abstract available.
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","language":"English","publisher":"MDPI","doi":"10.3390/v16121898","usgsCitation":"Hubbard, L.E., Stelzer, E., Poulson, R., Kolpin, D., Szablewski, C.M., and Givens, C.E., 2024, Development of a large-volume concentration method to recover infectious avian influenza virus from the aquatic environment: Viruses, v. 16, no. 12, 1898, 14 p., https://doi.org/10.3390/v16121898.","productDescription":"1898, 14 p.","ipdsId":"IP-165194","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v16121898","text":"Publisher Index Page"},{"id":465023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","city":"Columbus","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.22878762807818,\n 40.153210789628275\n ],\n [\n -83.22878762807818,\n 39.86763424579317\n ],\n [\n -82.75220132092967,\n 39.86763424579317\n ],\n [\n -82.75220132092967,\n 40.153210789628275\n ],\n [\n -83.22878762807818,\n 40.153210789628275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":920624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szablewski, Christine M. 0000-0003-4796-7318","orcid":"https://orcid.org/0000-0003-4796-7318","contributorId":331719,"corporation":false,"usgs":false,"family":"Szablewski","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":920626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266852,"text":"70266852 - 2024 - Hydrological Simulation Program - FORTRAN (HSPF)","interactions":[],"lastModifiedDate":"2026-02-24T16:14:38.788439","indexId":"70266852","displayToPublicDate":"2024-12-09T10:13:08","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"chapter":"6.3","title":"Hydrological Simulation Program - FORTRAN (HSPF)","docAbstract":"No abstract available.
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Annual mean streamflows for monitoring stations in this study ranged from 0.37 to 32.4 cubic feet per second during water year 2021. At the 16 continuous-record streamgages, tributaries transported about 2,900 metric tons (t) of chloride and 1,800 t of sodium to the Scituate Reservoir; annual chloride yields for the tributaries ranged from 15 to 110 metric tons per square mile (t/mi2), and annual sodium yields ranged from 10 to 68 t/mi2. At the stations where water-quality samples were collected by Providence Water, the medians of the median daily loads were 180 kilograms per day for chloride, 12 grams per day as nitrogen for nitrite, less than 700 grams per day as nitrogen for nitrate, 410 grams per day as orthophosphate for phosphate, 71,000 million colony forming units per day for coliform bacteria, and less than 2,000 million colony forming units per day for Escherichia coli. The medians of the median yields were 67 kilograms per day per square mile for chloride, 4.2 grams per day per square mile as nitrogen for nitrite, 400 grams per day per square mile as nitrogen for nitrate, 180 grams per day per square mile as orthophosphate as phosphate, 46,000 million colony forming units per day per square mile for coliform bacteria, and 1,000 million colony forming units per day per square mile for Escherichia coli.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1203","collaboration":"Prepared in cooperation with Providence Water","usgsCitation":"Smith, K.P., and Spaetzel, A.B., 2024, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2021: U.S. Geological Survey Data Report 1203, 34 p., https://doi.org/10.3133/dr1203.","productDescription":"Report: vi, 34 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157776","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":497894,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118078.htm","linkFileType":{"id":5,"text":"html"}},{"id":464722,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WK8N0F","text":"USGS data release","linkHelpText":"Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 3.0, 2023)"},{"id":464720,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1203/dr1203.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1203 XML"},{"id":464719,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1203/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1203 HTML"},{"id":464717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1203/coverthb.jpg"},{"id":464718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1203/dr1203.pdf","text":"Report","size":"3.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1203 PDF"},{"id":464721,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1203/images/"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir Drainage Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.6124559054163,\n 41.732581620415004\n ],\n [\n -71.57280936185028,\n 41.74634136521371\n ],\n [\n -71.53961690677208,\n 41.77247675758633\n ],\n [\n -71.53777288148986,\n 41.842577016973706\n ],\n [\n -71.6032357790058,\n 41.91671720431131\n ],\n [\n -71.6557904995461,\n 41.894072384442495\n ],\n [\n -71.65210244898232,\n 41.858373339441414\n ],\n [\n -71.70834522008708,\n 41.87416576105147\n ],\n [\n -71.7516798142176,\n 41.85013226656352\n ],\n [\n -71.74245968780639,\n 41.79653941237348\n ],\n [\n -71.68621691670165,\n 41.749780840744904\n ],\n [\n -71.6124559054163,\n 41.732581620415004\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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10 Bearfoot Road
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The U.S. Geological Survey, in cooperation with Providence Water (formerly Providence Water Supply Board), conducted a long-term program to monitor water quality in the Scituate Reservoir drainage area in Rhode Island to collect streamflow and water-quality data from 16 tributaries to the reservoir during the water year 2021. These data were used to estimate loads of chloride and sodium. Additionally, water-quality samples were collected at 36 sampling stations on the tributaries, and the data were summarized using central tendency values.
No abstract available.
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Professor, State University of New York at Albany","active":true,"usgs":false}],"preferred":false,"id":958574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":958575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlesinger, Matthew D.","contributorId":342842,"corporation":false,"usgs":false,"family":"Schlesinger","given":"Matthew D.","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":958576,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shuford, Rebecca","contributorId":369187,"corporation":false,"usgs":false,"family":"Shuford","given":"Rebecca","affiliations":[{"id":56145,"text":"New York Sea Grant","active":true,"usgs":false}],"preferred":false,"id":958577,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stevens, Amanda","contributorId":369214,"corporation":false,"usgs":false,"family":"Stevens","given":"Amanda","affiliations":[],"preferred":false,"id":958608,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70261231,"text":"fs20243043 - 2024 - Cryospheric sciences at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2024-12-09T17:26:07.627409","indexId":"fs20243043","displayToPublicDate":"2024-12-06T09:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3043","displayTitle":"Cryospheric Sciences at the U.S. Geological Survey","title":"Cryospheric sciences at the U.S. Geological Survey","docAbstract":"The cryosphere is the collective parts of the Earth where water is in its frozen state and includes snow, glaciers, ice sheets, ice shelves, freshwater ice, sea ice, and permafrost. The cryosphere is a climate indicator and climate regulator. Surface cryosphere features, such as glaciers, snow, and sea ice, store freshwater and make the surface of the Earth bright white, which affects how much energy from the sun is absorbed or reflected by the planet. The subsurface cryosphere, such as permafrost and ground ice, stores water and other materials, including carbon, nutrients, heavy metals, and viruses. Carbon storage in permafrost is one way the cryosphere regulates the Earth's climate. Changes to the cryosphere indicate the state of the Earth's climate. The cryosphere spans many regions of the Earth, from subtropical regions of the Himalayas to polar regions of the Arctic and Antarctica, and intersects many of the Earth's spheres, including the lithosphere, biosphere, atmosphere, and hydrosphere.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243043","programNote":"Land Change Science","usgsCitation":"Florentine, C., Peitzsch, E., Jones, M., Barnhart, T., and Cronin, T., 2024, Cryospheric sciences at the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2024–3043, 4 p., https://doi.org/10.3133/fs20243043.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-171605","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":464666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3043/coverthb.jpg"},{"id":464667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3043/fs20243043.pdf","text":"Report","size":"1.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3043"},{"id":464890,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3043/images"},{"id":464891,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3043/fs20243043.xml"},{"id":464930,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3043"}],"contact":"Director, Northern Rocky Mountain Science Center
U.S. Geological Survey
P.O. Box 169
West Glacier, MT 59936
Efforts to reduce the frequency, extent, and toxicity of harmful algal blooms (HABs) require knowledge about drivers of algal growth, toxin production, and shifts in phytoplankton community composition to cyanobacterial dominance. Although labile nitrogen (N) and phosphorus (P) fuel primary production, micronutrients also play roles as the enzymatic engines that facilitate rapid and efficient growth and toxin production. Macro- and micronutrient availability can shape community composition and function by selecting for particular taxa. To address how phytoplankton in two Great Lakes subbasins respond to macro- and micronutrients, we conducted bottle incubation enrichment experiments using water collected from two blooming and two nonblooming sites in Lakes Erie and Michigan during late summer (August). Three of the four sites exhibited multi-nutrient limitation of growth. Both blooming sites responded strongest to NH4+ enrichment. Both nonblooming sites responded the strongest to PO43− enrichment, and three of the four sites responded in some way to a mix of micronutrients (Fe, Mn, Mo, Ni, and Zn). Microcystis aeruginosa relative abundance increased most with N enrichment, while P enrichment increased the abundance of diatoms and chlorophytes. At the Fox River, N-enriched communities grew 10%–20% more than non-N enriched communities (measured as chlorophyll a), and N-enriched communities had, on average, over twice as much microcystin (non-N communities average MC = 2.45 μg · L−1, +N communities MC = 5.35 μg · L−1). These overarching trends support the idea that control of HABs may not be effective with a P-only approach.
","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13519","usgsCitation":"Stoll, J.T., Larson, J.H., Bailey, S., Blackwood, C., and Costello, D.M., 2024, Macro- and micronutrient effects on phytoplankton in Green Bay, Lake Michigan and the western basin of Lake Erie: Journal of Phycology, v. 60, no. 6, p. 1514-1527, https://doi.org/10.1111/jpy.13519.","productDescription":"14 p.","startPage":"1514","endPage":"1527","ipdsId":"IP-147490","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":486966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13519","text":"Publisher Index Page"},{"id":483046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio, Wisconsin","otherGeospatial":"Green Bay, Lake Erie, Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.03685128690228,\n 41.87600695467955\n ],\n [\n -83.20795357925205,\n 42.027867652226206\n ],\n [\n -83.5115221624522,\n 41.678418108973744\n ],\n [\n -83.34593929888818,\n 41.69078411771747\n ],\n [\n -83.03685128690228,\n 41.87600695467955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.05899801254903,\n 44.55955967593911\n ],\n [\n -87.91549286412715,\n 44.52415450727088\n ],\n [\n -87.04342311602409,\n 45.688867542994075\n ],\n [\n -87.0930979750935,\n 45.719704005362075\n ],\n [\n -87.24764198108645,\n 45.60397956527325\n ],\n [\n -87.5622494218576,\n 45.18539079311623\n ],\n [\n -87.62296313849751,\n 44.9827421736417\n ],\n [\n -87.81062371720358,\n 44.95540765403871\n ],\n [\n -88.05899801254903,\n 44.55955967593911\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Stoll, Jordyn T.","contributorId":345787,"corporation":false,"usgs":false,"family":"Stoll","given":"Jordyn","email":"","middleInitial":"T.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":929934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Christopher","contributorId":352038,"corporation":false,"usgs":false,"family":"Blackwood","given":"Christopher","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costello, David M. 0000-0002-1532-5399","orcid":"https://orcid.org/0000-0002-1532-5399","contributorId":255146,"corporation":false,"usgs":false,"family":"Costello","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261292,"text":"70261292 - 2024 - Longitudinal and seasonal changes of organic matter sources through a semi-arid river-reservoir system","interactions":[],"lastModifiedDate":"2024-12-05T15:06:22.778321","indexId":"70261292","displayToPublicDate":"2024-12-04T07:57:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Longitudinal and seasonal changes of organic matter sources through a semi-arid river-reservoir system","docAbstract":"The quality and quantity of organic matter (OM) in a river system directly affects ecosystem health; thus, managers benefit from an in-depth understanding of the drivers and sources of OM. In the Snake River, a highly altered river-reservoir system in the semi-arid western United States, OM production and loading are key drivers of reservoir anoxia, which leads to several deleterious processes such as mercury methylation. However, sources and quantities of OM to the Snake River, and the effects of impoundment on OM moving through the river-reservoir system, are not well understood. Particulate organic carbon (POC), dissolved organic carbon (DOC), particulate nitrogen (PN), chlorophyll a (chl-a), and δ15N–PN and δ13C–POC isotopic ratios were measured bi-weekly for over 2 years at four locations through the Snake River Hells Canyon Reservoir Complex to determine spatial and temporal patterns of OM quantities and sources. POC concentrations increased through the riverine zone upstream of the reservoirs, likely due to in situ primary production and/or inputs from tributaries and agricultural drains; then decreased through the most upstream reservoir likely due to particle settling. Isotopic ratios and other OM source indicators (δ15N–PN, δ13C–POC, POC:PN, chl-a:POC) show that the dominant source of particulate OM was phytoplankton with seasonal terrestrial/macrophytic inputs. Results highlight the effects of major tributary and agricultural drain inputs, primary production, and impoundment on OM composition and concentration through a large river-reservoir system and may inform water quality management efforts in this and similar systems.
","language":"English","publisher":"Wiley","doi":"10.1029/2024JG008242","usgsCitation":"Yoder, A.M., Baldwin, A.K., Marvin-DiPasquale, M.C., Poulin, B., Naymik, J., and Krabbenhoft, D.P., 2024, Longitudinal and seasonal changes of organic matter sources through a semi-arid river-reservoir system: Journal of Geophysical Research: Biogeosciences, v. 129, no. 12, e2024JG008242, 15 p., https://doi.org/10.1029/2024JG008242.","productDescription":"e2024JG008242, 15 p.","ipdsId":"IP-150136","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":486954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008242","text":"Publisher Index Page"},{"id":464800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Hells Canyon Complex, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.88297561944614,\n 45.69761052859886\n ],\n [\n -116.8822359107354,\n 45.69761052859886\n ],\n [\n -116.8822359107354,\n 45.72878961676912\n ],\n [\n -116.88297561944614,\n 45.72878961676912\n ],\n [\n -116.88297561944614,\n 45.69761052859886\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.27953842589977,\n 46.01291358546047\n ],\n [\n -117.27953842589977,\n 45.22381718321657\n ],\n [\n -116.3843523126414,\n 45.22381718321657\n ],\n [\n -116.3843523126414,\n 46.01291358546047\n ],\n [\n -117.27953842589977,\n 46.01291358546047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Yoder, Alysa Muir 0000-0002-3683-6729","orcid":"https://orcid.org/0000-0002-3683-6729","contributorId":296598,"corporation":false,"usgs":true,"family":"Yoder","given":"Alysa","email":"","middleInitial":"Muir","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - 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The maps depict estimates of the extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 04206425 on the Cuyahoga River at Jaite, Ohio.
Water-surface profiles were computed for the stream reach by using a one-dimensional steady-state step-backwater model. The hydraulic model was calibrated to the current USGS streamgage data and then used to compute 15 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 6 to 20 feet, which correspond to below “action stage” to “major flood stage” as reported by the National Weather Service. The simulated water-surface profiles were then used with a geographic information system digital elevation model derived from light detection and ranging data to delineate the areas flooded at each stage.
These maps, along with current stage data from the USGS streamgage and forecasted high-flow stages from the National Weather Service, can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245115","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2024, Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024: U.S. Geological Survey Scientific Investigations Report 2024–5115, 12 p., https://doi.org/10.3133/sir20245115.","productDescription":"Report: vi, 12 p.; 1 Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158402","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":497897,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118059.htm","linkFileType":{"id":5,"text":"html"}},{"id":464690,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O3MYQ0","text":"USGS data release","linkHelpText":"Geospatial datasets and hydraulic model for flood-inundation maps of Cuyahoga River at Jaite, Ohio"},{"id":464689,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5115/images/"},{"id":464688,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5115 XML"},{"id":464685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5115/coverthb.jpg"},{"id":464686,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.pdf","text":"Report","size":"3.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5115 PDF"},{"id":464687,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245115/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5115 HTML"}],"country":"United States","state":"Ohio","city":"Jaite","otherGeospatial":"Cuyahoga River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.6,\n 41.3167\n ],\n [\n -81.6,\n 41.25\n ],\n [\n -81.5,\n 41.25\n ],\n [\n -81.5,\n 41.3167\n ],\n [\n -81.6,\n 41.3167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Recent trends of rising temperatures and longer droughts between precipitation events are impacting water-limited dryland ecosystems in the western United States. Although ecosystem drought response depends directly on soil moisture, trends in soil moisture (e.g., edaphic drought) remain more poorly explored than precipitation (e.g., meteorological drought), representing an important knowledge gap. Here, we applied the SOILWAT2 ecosystem water balance model to quantify long-term trends of soil moisture and edaphic drought using observed daily weather from 1976 to 2019 at 337 stations across the western United States. We assessed edaphic drought for different plant community types (grass dominated vs. shrub dominated), and explored variations with soil depth and texture. The duration of the longest edaphic drought in a given year increased by 1.5 ± 0.2 days/decade for grassy and 1.7 ± 0.2 days/decade for woody vegetation. Importantly, these trends in edaphic drought were consistent with but greater in magnitude compared with meteorological drought indicating more severe water stress for both plants and ecosystems. The correlation between meteorological drought and edaphic drought was greater under woody vegetation (0.45) compared with grass (0.34) and greater at surface soil depths (0–20 cm; 0.46) compared with the deeper soil (20–100 cm; 0.34). Among soil textures, the correlation between meteorological and edaphic drought was highest on sandy soils and lowest on finer textured silty soils. Using the biogeographic domains (eight western NEON domains), we found that the Pacific Northwest, Pacific Southwest, and Desert Southwest exhibited the strongest increases in edaphic drought through time, but lower correlation between meteorological and edaphic droughts. These findings characterize strong but variable connections between edaphic drought and meteorological drought across the western United States and demonstrate the critical influences of vegetation type, soil depth, and soil properties in mediating the magnitude and spatial distribution of edaphic drought.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2749","usgsCitation":"Zhang, F., Biederman, J.A., Schlaepfer, D.R., Bradford, J.B., Reed, S.C., and Smith, W.K., 2024, Increasing soil water drought in response to altered precipitation timing across the western United States: Ecohydrology, v. 18, no. 2, e2749, 12 p., https://doi.org/10.1002/eco.2749.","productDescription":"e2749, 12 p.","ipdsId":"IP-163653","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2749","text":"Publisher Index Page"},{"id":494732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.86807902477261,\n 49.588522649130624\n ],\n [\n -125.36941038239132,\n 41.02167216747373\n ],\n [\n -122.62525956962213,\n 32.782718887450514\n ],\n [\n -101.22796660251535,\n 31.03128157801875\n ],\n [\n -101.22796660251535,\n 49.588522649130624\n ],\n [\n -125.86807902477261,\n 49.588522649130624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; 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The purpose of the inventory was to provide information about water bottling facilities needed to assess and improve understanding of local-, regional-, and national-scale hydrologic and socioeconomic effects resulting from water extraction for bottling. Beverage types coded in the North American Industry Classification System under subsector 312 (Beverage and Tobacco Product Manufacturing) were compiled; however, facility information was often not publicly available, time intensive to search manually, and difficult to verify because there are no nationally available facility lists. A separate evaluation of facilities in the Great Lakes region identified some facilities that were missing and some with incorrect information. Ancillary facility attributes were primarily available from a proprietary business dataset and water-use data could only be acquired for a small subset of facilities. These limitations and deficiencies may affect the types of analyses that can be done using the inventory information. Therefore, the following data-quality aspects are used to describe the information compiled in the facility and water-use tables: completeness, uniqueness, validity, timeliness, accuracy, consistency, and accessibility. The resulting implications of the data and knowledge gaps are that users of the data may need to make additional evaluations of the inventory information for some analyses.
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U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Inland fisheries face multiple, intensifying threats (i.e., proximate human pressures causing degraded ecological attributes) from land development, climate change, resource extraction, and competing demands for water resources. Planning for resiliency amidst these pressures requires understanding the factors that influence an inland fishery’s capacity to adapt to system changes under multiple threats. Incorporating expert knowledge can illuminate priority fisheries and provide important insights where data are otherwise limited. Using data from a global survey of 536 fishery professionals, this study examines perceptions of threats and adaptive capacity (i.e., ability to mitigate or respond to change) in major inland fisheries. We assessed associations across 29 different perceived threats and their ranked influence scores, tested agreement among five adaptive capacity domains (i.e., agency, assets, flexibility, learning, organization), and examined relationships between threats and adaptive capacity domains. Results provide quantitative evidence that the greatest threats to inland fisheries come from outside the fishing sector and that most inland fisheries face multiple threats. Results also support the five domains as a collective measure of adaptive capacity and illuminate a negative association between the threats to a fishery and a fishery’s adaptive capacity. These findings highlight the need for fishery managers to engage in decision making with non-fishery sectors (e.g., multi-sectoral management) and the prioritization of habitat and watershed-scale conservation and rehabilitation efforts for improved adaptability amidst ecological transformation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2024.102949","usgsCitation":"Stokes, G.L., Smidt, S.J., Tucker, E.L., Cleary, M., Funge-Smith, S., Valbo-Jorgensen, J., Lowe, B.S., and Lynch, A., 2024, Adaptive capacities of inland fisheries facing anthropogenic pressures: Global Environmental Change, v. 90, 102949, 11 p., https://doi.org/10.1016/j.gloenvcha.2024.102949.","productDescription":"102949, 11 p.","ipdsId":"IP-146936","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloenvcha.2024.102949","text":"Publisher Index Page"},{"id":464701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":920016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":920017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Emily L.","contributorId":346851,"corporation":false,"usgs":false,"family":"Tucker","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":920018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleary, Matteo","contributorId":346852,"corporation":false,"usgs":false,"family":"Cleary","given":"Matteo","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":920019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":920020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valbo-Jorgensen, John","contributorId":346853,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":920021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowe, Benjamin S. 0000-0002-1879-254X","orcid":"https://orcid.org/0000-0002-1879-254X","contributorId":245641,"corporation":false,"usgs":false,"family":"Lowe","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":920022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":920023,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261108,"text":"sir20245073 - 2024 - Assessment of the interconnection between Tampa Bay and the Floridan aquifer system: Historical groundwater data compilation and analysis, 1976–2022","interactions":[],"lastModifiedDate":"2025-12-22T21:06:29.381777","indexId":"sir20245073","displayToPublicDate":"2024-12-02T08:51:01","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":"2024-5073","displayTitle":"Assessment of the Interconnection Between Tampa Bay and the Floridan Aquifer System: Historical Groundwater Data Compilation and Analysis, 1976–2022","title":"Assessment of the interconnection between Tampa Bay and the Floridan aquifer system: Historical groundwater data compilation and analysis, 1976–2022","docAbstract":"The U.S. Geological Survey used existing data collected after the last major navigational channel modification in the mid-1980s to investigate groundwater levels and chloride concentrations in wells in the Floridan aquifer system and other aquifers beneath and near Tampa Bay. Tampa Bay is located on the west-central coast of Florida and provides access for commercial shipping. In 2021, the U.S. Army Corps of Engineers began to investigate alternatives to improve the efficiency of the deep-draft navigation channels within Tampa Bay, reduce costs, improve safety, and analyze the implications of modifying navigational channels. The Floridan aquifer system underlies Tampa Bay and is the primary source of public water supply in the region. Modifications to the channels have the potential to expose the Floridan aquifer system to the saltwater in Tampa Bay, with the potential to increase salinity in wells in the region. Other factors affecting the groundwater levels and the location of the freshwater/saltwater interface were also examined, including changes in sea level, groundwater extraction, and variations in climate.
Groundwater levels and well-construction reports were used to identify whether different aquifer units are well-connected. Twelve wells had available data before and after the last major channel modifications, which took place in the 1980s, with six datasets of chloride concentration available in areas along the northern and eastern coastline of Tampa Bay, which is nearest to historical dredging activities. Of these six, Kendall’s τ and p-values indicated increasing trends in chloride concentration for three datasets (TR 11-2, TR 10-2, 51), no trend in chloride concentration for two datasets (TR 9-3, 50), and a decreasing trend in chloride concentration for one dataset (TR 9-1). The upward trends in chloride concentration observed for TR 10-2 and 51 are likely the result of changes in local groundwater withdrawals. Well TR 11-2 had a gradual increasing trend in chloride concentration, fresh groundwater throughout the period of record, and a 3- to 4-foot increase in hydraulic head during the period of record, possibly caused by the construction and control of the Tampa Bypass Canal, resulting in changes to the regional potentiometric surface.
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","tableOfContents":"The U.S. Geological Survey (USGS) operates a National Water Quality Network (NWQN) to monitor trends in groundwater quality and assess emerging contaminants of concern. It is a “network of networks” with 81 subnetworks being sampled on a decadal time scale. Each year, eight of the subnetworks are sampled. Subnetworks have 20–30 wells each and include studies of domestic supply wells or shallow groundwater (20–50 feet deep) underlying urban land use or agricultural land use. Currently there are 2,114 wells in the network.
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Observing Systems Division
Water Mission Area
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
Contact Publications Warehouse
Tidal wetland restoration to benefit at-risk fish species in the Sacramento-San Joaquin Delta and Suisun marsh has gained momentum over the past decade, much of it in response to mitigation requirements for the State Water Project and Central Valley Project. In fall 2023, the Department of Water Resources and the State Water Contractors convened a symposium, entitled Delta-Suisun Tidal Wetland Restoration Symposium: State of the Science and Future Directions, to discuss the latest wetland restoration research and future directions. The symposium was held 10 years after the 2013 symposium “Tidal Marshes and Native Fishes in the Delta: Will Restoration Make a Difference?”, so served as an opportunity to follow up on the progress that has been made over the past decade. This paper synthesizes the key findings from the 2023 workshop.
The paper begins with the historical context of wetland restoration in the Delta and Suisun marsh, then outlines the restoration process as it is currently implemented. It then describes the monitoring of tidal wetlands in terms of their capacity to support fish (capacity), the opportunity fish have to use the habitat (opportunity), and the realized functions provided when fish are actually using the site.
Finally, the paper identifies priority science actions to advance our understanding and management of tidal wetland restoration sites. These actions include further research into fish habitat utilization, improved monitoring techniques, and enhanced adaptive management strategies. This list of information needs is intended to inform future monitoring of restoration sites, scientific studies, funding, and prioritization of wetland research.
","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2024v22iss4art3","usgsCitation":"Hartman, R., Young, M.J., Sherman, S., Ayers, D.E., Brusati, E., Chapple, D., Mendonsa, E., Hard, E., and Conrad, L., 2024, Management of tidal wetland restoration and fish in the upper San Francisco Estuary: Where are we now and how do we move forward? 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These disturbances can change riparian land cover by limiting water availability for riparian plant species, increasing fire intensity and frequency, and increasing soil and water salinities. In response to these forms of degradation, restoration efforts have begun to restore riparian habitats and native plant health, but vegetation greenness and corresponding plant water use continue to decline in unrestored reaches. Researchers from the U.S. Geological Survey (USGS) Southwest Biological Science Center are monitoring riparian plant health along the Colorado River Delta to support better ecohydrological decision-making. The researchers are helping a binational team to protect, restore, and maintain native vegetation within the 150-km long riparian corridor. Researchers are using Landsat 8 Operational Land Imager (OLI) data spanning 2014–2022 to measure greenness, a proxy for plant health, and actual evapotranspiration (ETa). Using an empirical model for ETa, evapotranspiration is estimated over each 16-day Landsat 8 OLI overpass period by considering the 8 days before and after the overpass date.
In their paper, researchers noted an increase in vegetation greenness within the restoration sites over nine years, with an average increase of 41.3%, which may be partially due to targeted water deliveries at the restoration sites. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study showed a 22.1% increase in ETa in restored areas, compared to a 30.8% reduction in unrestored regions. Restored sites in one restored area experienced ETa increases up to 12.2%, whereas their unrestored counterparts showed a decline of 21.4%. These estimates of riparian greenness and water use may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.
","language":"English","publisher":"Department of Interior","usgsCitation":"Nagler, P.L., 2024, Colorado Delta riparian plant health improvement, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169348","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491582,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/colorado-delta-riparian-plant-health-improvement"},{"id":498747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.10014888935096,\n 34.16115185091701\n ],\n [\n -116.10014888935096,\n 28.217554494522687\n ],\n [\n -109.77287116074022,\n 28.217554494522687\n ],\n [\n -109.77287116074022,\n 34.16115185091701\n ],\n [\n -116.10014888935096,\n 34.16115185091701\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941661,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70264770,"text":"70264770 - 2024 - Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","interactions":[],"lastModifiedDate":"2026-02-11T16:11:52.104027","indexId":"70264770","displayToPublicDate":"2024-12-01T10:02:17","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","docAbstract":"Geochemical and hydrologic models of pit lakes are commonly used in environmental regulatory decisions to predict future water quality and hydrologic conditions and to understand existing pit lakes. Models may be used to quantify sulfide oxidation, predict thermal/chemical stratification and mixing, and better understand connections between pit lakes and aquifers. One concern related to the hydrologic character of pit lakes is if they are terminal (a groundwater sink with no outflow) or flowthrough (both receiving groundwater inflow and discharging to groundwater). This question was pertinent to the Liberty pit lake, a small acidic pit lake formed in a former Cu deposit in south-central Nevada where potentiometric and geochemical data potentially indicate pit-lake outflow. Potential discharge to groundwater from the pit lake was evaluated using a water-balance model, but uncertainty in hydraulic parameters led to ambiguity in the hydrologic character. Stable isotopes of water were then sampled from the pit lake and adjacent groundwater wells, which unambiguously indicated the lack of an evaporative signature in downgradient groundwater because the groundwater did not plot on a hypothetical mixing line between evaporated pit lake water and observed meteoric recharge. This methodology provided a more effective and more data-driven approach for understanding pit-lake hydrology. Although predictive models are required to quantify reasonable bounds on future conditions, many models contain substantial uncertainty and are not well suited in some environments. Datasets that provide more clear lines of evidence could be collected from existing pit lakes whenever possible to inform water-rock interaction, limnological behavior, and connectivity to adjacent groundwater.
","conferenceTitle":"International Conference on Acid Rock Drainage","conferenceDate":"September 16-20, 2024","conferenceLocation":"Halifax, Nova Scotia, Canada","language":"English","publisher":"Canadian Institute of Mining, Metallurgy and Petroleum","usgsCitation":"Newman, C.P., 2024, Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake, International Conference on Acid Rock Drainage, Halifax, Nova Scotia, Canada, September 16-20, 2024, p. 1345-1356.","productDescription":"12 p.","startPage":"1345","endPage":"1356","ipdsId":"IP-164239","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Liberty pit lake","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931595,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273175,"text":"70273175 - 2024 - Global Food Security Support Analysis Data (GFSAD) using remote sensing in support of food and water security in the 21st century","interactions":[],"lastModifiedDate":"2025-12-18T15:48:13.209769","indexId":"70273175","displayToPublicDate":"2024-12-01T09:43:09","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Global Food Security Support Analysis Data (GFSAD) using remote sensing in support of food and water security in the 21st century","docAbstract":"The overarching goal of this chapter is to provide a comprehensive overview of the state-of-art of global cropland mapping procedures using remote sensing as characterized and envisioned by the “Global Food Security Support Analysis Data @ 30 m (GFSAD30)” project working group team. First, the chapter will provide an overview of existing cropland maps and their characteristics along with establishing the gaps in knowledge related to global cropland mapping. Second, definitions of cropland mapping along with key parameters involved in cropland mapping based on their importance in food security analysis, and cropland naming conventions for standardized cropland mapping using remote sensing will be presented. Third, existing methods and approaches for cropland mapping will be discussed. This will include the type of remote sensing data used in cropland mapping and their characteristics along with discussions on the secondary data, field-plot data, and cropland mapping algorithms. Fourth, currently existing global cropland products derived using remote sensing will be presented and discussed. Fifth, a synthesis of all existing products leading to a composite global cropland extent version 1.0 (GCE V1.0) is presented and discussed. Sixth, a way forward for advanced global cropland mapping is visualized.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing handbook, volume III","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","usgsCitation":"Teluguntla, P., Thenkabail, P., Xiong, J., Oliphant, A., Gumma, M.K., Giri, C., Milesi, C., Ozdogan, M., Congalton, R.G., Tilton, J., Sankey, T.T., Massey, R., Phalke, A., and Yadav, K., 2024, Global Food Security Support Analysis Data (GFSAD) using remote sensing in support of food and water security in the 21st century, chap. of Remote sensing handbook, volume III, v. 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Alexander Drive, Research Triangle Park, NC, 27709, USA","active":true,"usgs":false}],"preferred":false,"id":952601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milesi, Cristina","contributorId":364370,"corporation":false,"usgs":false,"family":"Milesi","given":"Cristina","affiliations":[],"preferred":false,"id":952602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ozdogan, Mutlu","contributorId":138721,"corporation":false,"usgs":false,"family":"Ozdogan","given":"Mutlu","email":"","affiliations":[{"id":12508,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, 1710 University Ave., Room 285, Madison, WI 53726, USA","active":true,"usgs":false}],"preferred":false,"id":952603,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Congalton, Russell G.","contributorId":364371,"corporation":false,"usgs":false,"family":"Congalton","given":"Russell","middleInitial":"G.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":952604,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tilton, James","contributorId":149289,"corporation":false,"usgs":false,"family":"Tilton","given":"James","email":"","affiliations":[],"preferred":false,"id":952605,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sankey, Temuulen Tsagaan","contributorId":364373,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","middleInitial":"Tsagaan","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952606,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Massey, Richard","contributorId":149291,"corporation":false,"usgs":false,"family":"Massey","given":"Richard","affiliations":[],"preferred":false,"id":952607,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Phalke, Aparna","contributorId":149292,"corporation":false,"usgs":false,"family":"Phalke","given":"Aparna","email":"","affiliations":[],"preferred":false,"id":952608,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yadav, Kamini","contributorId":138720,"corporation":false,"usgs":false,"family":"Yadav","given":"Kamini","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":952609,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70261611,"text":"70261611 - 2024 - Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning","interactions":[],"lastModifiedDate":"2025-03-26T19:02:40.702879","indexId":"70261611","displayToPublicDate":"2024-12-01T09:19:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning","docAbstract":"Invasive grass carp Ctenopharyngodon idella spawning was confirmed in Lake Erie with the collection of fertilized eggs in the Sandusky River, Ohio in 2015. Managers responded with initiation of adult grass carp removal in 2017. Hydrodynamic modeling revealed a potential spawning location in downtown Fremont, Ohio (41.3455; −83.1110), which was supported by the presence of sexually mature adults. Egg detection and adult removals appear to coincide with periods of elevated discharge and suitable water temperatures. Electrofishing is the primary method for removing adults during spawning, however, it is unknown if this has indirect effects such as disruption of grass carp spawning; thereby lowering egg presence in ichthyoplankton samples. We used a binomial generalized linear model to predict the probability of grass carp egg presence (≥ 1 egg) in a paired ichthyoplankton net based on the presence of electrofishing in the spawning grounds and net depth using 2017–2022 data. Further, we carried out a field experiment to isolate the effect of electrofishing by sampling eggs at two sites before and during electrofishing in the spawning grounds in 2022. Analysis of 2017–2022 egg and electrofishing data suggested that grass carp egg presence in a paired ichthyoplankton net was significantly higher without electrofishing and in nets towed at a depth of 1.5 m compared to surfacetowed nets. Data analysis from the field experiment revealed a significant negative relationship between electrofishing in the spawning grounds and grass carp egg collections downstream. Both analyses suggested lower egg capture rates associated with electrofishing in the spawning grounds, although other factors should be further quantified. Consequently, electrofishing may cause a short-term disruption in grass carp spawning in the Sandusky River and could reduce spawning during preferred conditions.
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This problem was addressed by International Ocean Discovery Program Expedition 389 by drilling a unique succession of Hawaiian drowned coral reefs now at 110–1300 meters below sea level (mbsl). The four objectives are to investigate (1) the timing, rate, and amplitude of sea level variability to examine cryosphere and geophysical processes, including the assessment of abrupt sea level change events; (2) the processes that determine changes in mean and high-frequency (seasonal–interannual) climate variability from times with different boundary conditions (e.g., ice sheet size, pCO2, and solar forcing); (3) the response of coral reef systems to abrupt sea level and climate changes; and (4) the variation through space and time of the subsidence and the volcanic evolution of the island. To achieve these objectives, 35 holes at 16 sites ranging 131.9–1241.8 mbsl were drilled during the expedition. A total of 425 m of core was recovered, comprising reef (83%) and volcanic (17%) material. Average core recoveries were 66%, with numerous intervals characterized by very well preserved mixtures of coralgal and microbialite frameworks with recoveries >90%. Some science-critical shallow sites were not drilled due to a failure to secure permits to operate in Hawaiian state waters. Furthermore, apart from one site the target penetration depths were not achieved. Preliminary radiometric dates indicate that the recovered reef deposits are from 488 to 13 ka in age. The Onshore Science Party took place in February 2024. Cores were CT and hyperspectral scanned and described. Standard measurements were made, and samples were taken for postcruise research. Preliminary assessment of the age and quality of the reef and basalt cores suggest that many of the expedition objectives will be met.
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