El Paso County is the second-most populous county in Colorado and is projected to grow another 15 percent by 2030. Within El Paso County is the Upper Black Squirrel Creek Designated Groundwater Basin (Black Squirrel Basin), an area where surface water is scarce and water users rely primarily on groundwater from five different aquifers (the Upper Black Squirrel Creek alluvial aquifer and four bedrock aquifers within the Denver Basin aquifer system: the lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) to meet their needs. Currently (2024), land within the Upper Black Squirrel Creek Basin is primarily used for rural grazing and agriculture; however, municipal development is ongoing.
In 2021, the U.S. Geological Survey, in cooperation with the Upper Black Squirrel Creek Ground Water Management District, began a study to establish a baseline dataset and assess the groundwater resources of the aquifers within the Black Squirrel Basin. A network of 39 wells was established in 2021; discrete groundwater-level measurements were made bimonthly. Nine of the 39 wells were equipped with pressure transducers to record hourly groundwater-level data. Seven wells had statistically significant seasonal trends, and trends at 3 wells were negative. For the discrete data, 16 wells had a significant trend for the study period, and 4 wells had negative trends. For the time-series data, 8 wells had significant trends, and 3 wells had negative trends.
Potentiometric surface maps were created for this study using discrete, static groundwater levels measured in April 2023. These maps showed the estimated groundwater flow direction from the north-northwest to the south-southeast in the alluvial aquifer and from the northwest to the east-southeast for the lower Dawson and Denver aquifer wells.
This study indicates the potential benefit of monitoring wells in the areas near municipal pumping. Additional monitoring could lead to a better understanding of connectivity between aquifers and be an important tool for assessing long-term sustainability of groundwater use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245123","isbn":"978-1-4113-4591-1","collaboration":"Prepared in cooperation with Upper Black Squirrel Creek Ground Water Management District","usgsCitation":"Kisfalusi, Z.D., Hennessy, E.K., and Sharp, J.B., 2025, Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24: U.S. Geological Survey Scientific Investigations Report 2024–5123, 49 p., https://doi.org/10.3133/sir20245123.","productDescription":"Report: vii, 49 p.; Database","onlineOnly":"N","ipdsId":"IP-147629","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":492020,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118294.htm","linkFileType":{"id":5,"text":"html"}},{"id":480762,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245123/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5123"},{"id":466239,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.xml"},{"id":466238,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5123/images"},{"id":466138,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey, 2024, USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":466137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.pdf","text":"Report","size":"9.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5123"},{"id":466136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5123/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"El Paso County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6642,39.1308],[-104.6072,39.1307],[-104.4958,39.1298],[-104.3854,39.1284],[-104.2733,39.1278],[-104.166,39.1277],[-104.0521,39.1264],[-104.0538,39.0407],[-104.0544,38.9528],[-104.0549,38.8666],[-104.0537,38.7801],[-104.0525,38.693],[-104.051,38.6585],[-104.0524,38.6069],[-104.054,38.523],[-104.1629,38.5215],[-104.2759,38.5204],[-104.2794,38.5205],[-104.2836,38.5201],[-104.3759,38.52],[-104.4971,38.5192],[-104.6071,38.5187],[-104.7171,38.5186],[-104.736,38.5183],[-104.8295,38.5183],[-104.943,38.5175],[-104.9432,38.5479],[-104.943,38.5624],[-104.9429,38.6041],[-104.9427,38.6186],[-104.9429,38.6467],[-104.9429,38.6503],[-104.9427,38.6621],[-104.9427,38.6648],[-104.9428,38.6938],[-104.9399,38.6938],[-104.9386,38.7808],[-104.939,38.7949],[-105.0671,38.7946],[-105.0674,38.8666],[-105.0502,38.8665],[-105.0296,38.8668],[-105.026,39.0413],[-105.032,39.1311],[-104.9371,39.1312],[-104.9175,39.131],[-104.8303,39.1311],[-104.6642,39.1308]]]},\"properties\":{\"name\":\"El Paso\",\"state\":\"CO\"}}]}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
The Hiram M. Chittenden (Ballard) Locks and Lake Washington Ship Canal connect freshwater Lake Washington and saline Shilshole Bay of Puget Sound in Seattle, Washington. The locks and canal allow for ships to traverse this reach. Anadromous salmonids also migrate through, transitioning between saline and freshwater environments, and making use of a fish ladder at the locks when traveling upstream. WEST Consultants, Inc., constructed a two-dimensional hydrodynamic and water-quality model (CE-QUAL-W2) simulating flow, water temperature, and salinity for the Ballard Locks and the Lake Washington Ship Canal. An initial model was built for calendar years 2014–15, and the model was updated using a more recent and modern dataset for calendar years 2016–20. The U.S. Army Corps of Engineers requested that the U.S. Geological Survey review this model and its documentation to evaluate the technical aspects of its development and calibration. Findings from this review include the following:
Director, Oregon Water Science Center
U.S. Geological Survey
601 SW Second Avenue, Suite 1950
Portland, Oregon 97204
In many places, coldwater ecosystems are facing increasing pressure from anthropogenic warming. This study examined stream temperatures and the water balance in the Beaver Creek watershed on the Kenai Peninsula in south-central Alaska—an area that is experiencing rapid warming. Low-gradient streams near the Kenai coast provide important spawning and rearing habitat for salmon but may be especially vulnerable to rising temperatures, because of long residence times, inflows from abundant riparian wetlands, and reliance on groundwater discharge that may also warm, or decrease in volume with rising evapotranspiration. In recent decades, observed maximum 7-day temperatures have consistently exceeded statistical (regression-based) projections. Here we simulate total streamflows and temperatures with a physics-based model that links the Soil Water Balance, MODFLOW 6 and SNTEMP simulation codes on a 7-day timestep. The model is based on existing data and groundwater levels, instream flows, and stream temperatures collected during 2019–23. Future climate scenarios were developed for 2023–50 from downscaled climate projections.
Results indicate that groundwater discharge is about 64 percent of the total streamflow during the months of May through September. Total streamflow and groundwater discharge are expected to remain similar to current conditions through 2050. Stream temperatures are expected to rise; by midcentury, near the Beaver Creek mouth the model predicts 34 to 63 additional days per year with average weekly temperatures above 13 degrees Celsius, 14 to 81 additional days with average weekly temperatures above 15 degrees Celsius, and routine exceedances of 20 degrees Celsius during the warmest periods. Projected stream temperatures vary spatially. Areas of high groundwater inflows in the lower main stem and some tributaries may be most resilient to warming air temperatures during dry conditions. During storm events, groundwater-dominated tributaries may have the coolest stream temperatures.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245126","usgsCitation":"Leaf, A.T., Haserodt, M.J., Meyer, B.E., Westenbroek, S.M., and Koch, J.C., 2024, Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5126, 111 p., https://doi.org/10.3133/sir20245126.","productDescription":"Report: ix, 111 p.; 2 Data Releases; Dataset","numberOfPages":"126","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167012","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":465606,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.XML"},{"id":465583,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UAWGB","text":"USGS data release","linkHelpText":"Surface water and groundwater hydrology and temperature, Beaver Creek, Kenai Peninsula, Alaska, 2022–2023"},{"id":465585,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/national-hydrography/access-national-hydrography-products","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":465584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"http://doi.org/10.5066/P9K30VAP","text":"USGS data release","linkHelpText":"Soil water balance, groundwater flow, and stream temperature models for Beaver Creek, Alaska, 2019 to 2050"},{"id":492014,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118271.htm","linkFileType":{"id":5,"text":"html"}},{"id":465607,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5126/images/"},{"id":465605,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245126/full"},{"id":465582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.pdf","text":"Report","size":"34.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5126"},{"id":465581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5126/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaver Creek, Kenai Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.3330540056542,\n 60.957367731319806\n ],\n [\n -152.38912986860709,\n 59.25155522317334\n ],\n [\n -148.50867874659667,\n 59.25563148250791\n ],\n [\n -148.50867874659667,\n 60.95766646209441\n ],\n [\n -152.3330540056542,\n 60.957367731319806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
The U.S. Geological Survey (USGS) conducted hydrogeologic investigations, reviewed existing data, and developed a preliminary conceptual model of the groundwater system as part of technical support of the U.S. Environmental Protection Agency (EPA) at the North Penn Area 1 Superfund Site (hereafter, the NP1 Site) located within the Borough of Souderton in Montgomery County, Pennsylvania. Field work and monitoring took place during 2012–18. The area is underlain by sedimentary formations that form a fractured-rock aquifer used for drinking water and industrial supply. The EPA placed the Site on the National Priorities List in 1989, identifying tetrachloroethylene (PCE) and trichloroethylene (TCE) as contaminants of concern.
During 2012–18, the USGS conducted field activities that included drilling an 82-foot (ft)-deep monitoring well (MG 2220) in 2016, reconstructing a 208-ft-deep former industrial production well (MG 668 [Granite Knitting Mill]), and collecting borehole geophysical and video logs and water levels from those and five additional wells, which ranged in depth from about 50 to 200 ft below land surface. Continuous water levels were collected during 2014–17, and a synoptic set of water levels were measured in April 2018 in the seven wells.
The borehole geophysical logs (caliper, acoustic televiewer, natural gamma, single-point resistance, vertical flow, and fluid temperature and resistivity) and borehole video logs in the seven wells were evaluated to assess potential for lithologic correlation and to identify and describe water-bearing features, which included both low- and high-angle fractures and other openings oriented along dipping bedding planes, joints, or possible faults. Borehole geophysical logs collected by USGS in 1992 in a 300-ft-deep former production well near the Site were also evaluated. Few to no distinctive features were identified on geophysical logs (natural gamma and single-point resistance) that could be used for correlation, thus limiting this approach to determining local geologic structure. Extensive fracturing in the upper 62 ft of monitoring well MG 2220 indicates that the well was likely drilled through a zone of faulting, and other evidence of faulting is present in the area near the Site. Assessment of continuous water levels showed hydraulic connections among some wells as indicated by rising or falling water levels in response to changes in pumping rates at nearby wells. A map of water levels measured in April 2018 indicates potential for groundwater flow generally toward the stream to the south and southwest of the Site, but the limited water-level data are insufficient to describe vertical groundwater gradients or lateral gradients in any detail.
Review of 1999–2022 volatile organic compound (VOC) monitoring data collected by the Pennsylvania Department of Environmental Protection for five monitoring wells indicates that the highest groundwater concentrations of PCE and TCE were found in samples from extraction well MG 2201 (S-1) downgradient from, and nearest to, the previously identified Site contaminant source area, and these concentrations fluctuated through time. PCE concentrations were higher than TCE concentrations in samples from all five monitoring wells and were much higher than TCE concentrations in samples from extraction well MG 2201 (S-1). Temporally variable recharge is a possible factor affecting observed fluctuations in PCE concentrations in groundwater samples from well extraction MG 2201 (S-1), as indicated by a general inverse relation between PCE concentrations and water levels in a nearby long-term observation well. The PCE concentration of 1,830 micrograms per liter (μg/L) in a May 2018 water sample from monitoring well MG 2220 was more than four times the PCE concentration of 444 μg/L in a December 2017 sample from the nearby extraction well MG 2201 (S-1), which is open to fewer fractures. Low concentrations of VOCs were measured in surface water at two stream sites downgradient from wells with the highest groundwater VOC concentrations at the Site, indicating that discharge of contaminated groundwater to the stream is likely.
Development of a conceptual model of the groundwater system was constrained by limited data. In areas with no pumping, groundwater-flow directions generally are thought to be controlled by topography and geologic structure (bedding orientation) and likely to the south and southwest of the Site, with local flow directions affected by orientations of fractures, joints, and local faults. Additional investigations that could help improve the conceptual model of the groundwater system and help delineate the extent of groundwater contamination and its transport are discussed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241080","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., Risser, D.W., Goode, D.J., and Bird, P.H., 2024, Hydrologic investigations and a preliminary conceptual model of the groundwater system at North Penn Area 1 Superfund Site, Souderton, Montgomery County, Pennsylvania: U.S. Geological Survey Open-File Report 2024–1080, 78 p., https://doi.org/10.3133/ofr20241080.","productDescription":"xi, 78 p.","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151018","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":494216,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118273.htm","linkFileType":{"id":5,"text":"html"}},{"id":465486,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1080/ofr20241080.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1080 XML"},{"id":465485,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241080/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1080 HTML"},{"id":465479,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1080/images/"},{"id":465476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1080/ofr20241080.pdf","text":"Report","size":"18.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1080 PDF"},{"id":465475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1080/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Montgomery County","city":"Souderton","otherGeospatial":"North Penn Area 1 Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.33380565402877,\n 40.30337215850042\n ],\n [\n -75.33067431094733,\n 40.30297414782885\n ],\n [\n -75.32310689850118,\n 40.30864557850933\n ],\n [\n -75.32121504538941,\n 40.31133187946756\n ],\n [\n -75.32415067952832,\n 40.31496319053656\n ],\n [\n -75.33002194780529,\n 40.3133714069823\n ],\n [\n -75.33432754454195,\n 40.307053646040714\n ],\n [\n -75.33380565402877,\n 40.30337215850042\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, Pennsylvania 17070
Between the 1950s and 1980s, wastewater generated at the Idaho National Laboratory contained Iodine-129 (129I); this wastewater was discharged directly into the eastern Snake River Plain (ESRP) aquifer through a deep disposal well, unlined infiltration ponds, or leaked from distribution systems below industrial facilities. During 2021–22, the U.S. Geological Survey, in cooperation with the U.S. Department of Energy and the Idaho Department of Environmental Quality Idaho National Laboratory Oversight Program, collected groundwater samples from 64 monitoring wells in the ESRP aquifer, 6 of which are part of a multilevel monitoring system, to determine the concentration of 129I in the groundwater. These samples were analyzed by accelerator mass spectrometry as part of a long-term ongoing study to track trends and occurrences of this carcinogenic, long-lived radionuclide in the environment. Concentrations ranged from slightly above the locally determined background concentration of 5.4×10−6 picocuries per liter, to just below the U.S. Environmental Protection Agency’s maximum contaminant level of 1 picocurie per liter. Discharge of wastewater containing 129I has been discontinued to the aquifer, and long-term trends from a subset (n=15) of sampled wells show decreasing 129I concentrations over the last three decades. Concentrations of 129I in groundwater from monitoring wells near facilities at the Idaho National Laboratory are affected by episodic recharge from an ephemeral surface-water source and by the fracture-flow dominated hydrologic regime in the ESRP aquifer. The spatially focused sampling effort has also identified a low-level 129I plume that affects long-term water quality near and downgradient from the Advanced Test Reactor Complex in the southwestern part of the facility that had not been clearly defined in previous sampling efforts, although the definition of the plume is somewhat limited by available data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245124","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22262","usgsCitation":"Treinen, K.C., Trcka, A.R., Krohe, N., and Lehotsky, G., 2024, Iodine-129 in the eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 2021–22: U.S. Geological Survey Scientific Investigations Report 2024–5124 (DOE/ID 22262), 27 p., https://doi.org/10.3133/sir20245124.","productDescription":"Report: vii, 27 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-150514","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":494219,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118236.htm","linkFileType":{"id":5,"text":"html"}},{"id":465410,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245124/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5124"},{"id":465409,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5124/sir20245124.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5124"},{"id":465413,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5124/sir20245124.XML"},{"id":465412,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5124/images"},{"id":465411,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWRYR4","text":"USGS data release","description":"USGS data release","linkHelpText":"Datasets for the U.S. Geological Survey—Idaho National Laboratory groundwater and surface-water monitoring networks, v1.1"},{"id":465408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5124/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.973611,\n 43.591667\n ],\n [\n -112.916667,\n 43.591667\n ],\n [\n -112.916667,\n 43.540278\n ],\n [\n -112.973611,\n 43.540278\n ],\n [\n -112.973611,\n 43.591667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4250
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
10 Bearfoot Road
Northborough, MA 01532
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 XML"},{"id":464953,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5099/sir20245099.pdf","text":"Report","size":"17.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5099 PDF"},{"id":464949,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IGMJGU","text":"USGS data release","linkHelpText":"Streamflow characteristics and trends at continuous-record and partial-record streamflow-gaging stations in New Jersey, water years 1903–2017"},{"id":464944,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5099/coverthb.jpg"},{"id":464948,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5099/images/"},{"id":464946,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245099/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5099 HTML"},{"id":497893,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118081.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Jersey","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-75.210876,39.865709],[-75.210425,39.865913],[-75.195324,39.877013],[-75.189323,39.880713],[-75.183023,39.882013],[-75.150721,39.882713],[-75.145421,39.884213],[-75.142421,39.886413],[-75.140221,39.888213],[-75.140006,39.888465],[-75.13342,39.896213],[-75.13082,39.900213],[-75.12792,39.911813],[-75.13012,39.917013],[-75.13282,39.921612],[-75.13502,39.927312],[-75.13612,39.933912],[-75.13572,39.947112],[-75.13352,39.954412],[-75.13012,39.958712],[-75.12692,39.961112],[-75.11922,39.965412],[-75.108119,39.970312],[-75.093718,39.974412],[-75.092481,39.974606],[-75.088618,39.975212],[-75.072017,39.980612],[-75.059994,39.991618],[-75.059017,39.992512],[-75.051217,40.004512],[-75.047016,40.008912],[-75.039316,40.013012],[-75.015515,40.019511],[-75.013796,40.020214],[-75.011115,40.021311],[-75.007914,40.023111],[-74.989914,40.037311],[-74.983913,40.042711],[-74.974713,40.048711],[-74.97432,40.048899],[-74.944412,40.063211],[-74.932211,40.068411],[-74.925311,40.07071],[-74.920811,40.07111],[-74.911911,40.06991],[-74.909011,40.07021],[-74.898573,40.072967],[-74.88781,40.07581],[-74.880209,40.07881],[-74.863809,40.08221],[-74.860909,40.08371],[-74.859809,40.08491],[-74.858209,40.08881],[-74.856509,40.09131],[-74.854409,40.09311],[-74.851108,40.09491],[-74.843408,40.09771],[-74.838008,40.10091],[-74.835108,40.10391],[-74.832808,40.11171],[-74.828408,40.12031],[-74.825907,40.12391],[-74.822307,40.12671],[-74.819007,40.12751],[-74.816307,40.12761],[-74.812807,40.12691],[-74.800607,40.12281],[-74.788706,40.12041],[-74.785106,40.12031],[-74.782106,40.12081],[-74.769488,40.129145],[-74.762864,40.132541],[-74.758882,40.134036],[-74.755305,40.13471],[-74.745905,40.13421],[-74.742905,40.13441],[-74.740605,40.13521],[-74.725663,40.145495],[-74.724304,40.14701],[-74.724134,40.14731],[-74.722604,40.15001],[-74.721604,40.15381],[-74.721504,40.158409],[-74.722304,40.160609],[-74.733804,40.174509],[-74.737205,40.177609],[-74.744105,40.181009],[-74.751705,40.183309],[-74.751943,40.183483],[-74.754305,40.185209],[-74.755605,40.186709],[-74.756905,40.189409],[-74.760605,40.198909],[-74.766905,40.207709],[-74.770406,40.214508],[-74.77136,40.215399],[-74.781206,40.221508],[-74.795306,40.229408],[-74.819507,40.238508],[-74.823907,40.241508],[-74.836307,40.246208],[-74.842308,40.250508],[-74.846608,40.258808],[-74.853108,40.269707],[-74.856508,40.277407],[-74.860492,40.284584],[-74.864692,40.290684],[-74.868209,40.295207],[-74.880609,40.305607],[-74.887109,40.310307],[-74.891609,40.313007],[-74.896409,40.315107],[-74.90331,40.315607],[-74.90831,40.316907],[-74.91741,40.322406],[-74.92681,40.329406],[-74.933111,40.333106],[-74.939711,40.338006],[-74.942954,40.341643],[-74.943776,40.342564],[-74.945088,40.347332],[-74.946006,40.357306],[-74.948722,40.364768],[-74.953697,40.376081],[-74.963997,40.395246],[-74.965508,40.397337],[-74.969597,40.39977],[-74.982735,40.404432],[-74.985467,40.405935],[-74.988901,40.408773],[-74.996378,40.410528],[-74.998651,40.410093],[-75.003351,40.40785],[-75.017221,40.404638],[-75.024775,40.403455],[-75.028315,40.403883],[-75.036616,40.406796],[-75.041651,40.409894],[-75.043071,40.411603],[-75.046473,40.413792],[-75.056102,40.416066],[-75.058848,40.418065],[-75.061489,40.422848],[-75.062923,40.433407],[-75.067425,40.448323],[-75.070568,40.455165],[-75.070568,40.456348],[-75.067302,40.464954],[-75.06805,40.468578],[-75.067776,40.472827],[-75.064327,40.476795],[-75.062227,40.481391],[-75.061937,40.486362],[-75.062373,40.491689],[-75.065275,40.504682],[-75.066001,40.510716],[-75.065853,40.519495],[-75.06509,40.526148],[-75.066402,40.536532],[-75.066426,40.536619],[-75.067257,40.539584],[-75.068615,40.542223],[-75.078503,40.548296],[-75.0957,40.564401],[-75.100325,40.567811],[-75.110903,40.570671],[-75.117292,40.573211],[-75.136748,40.575731],[-75.141906,40.575273],[-75.147368,40.573152],[-75.158446,40.565286],[-75.162871,40.564096],[-75.168609,40.564111],[-75.175307,40.564996],[-75.183151,40.567354],[-75.186737,40.569406],[-75.192352,40.574257],[-75.194046,40.576256],[-75.19487,40.578591],[-75.195114,40.579689],[-75.194656,40.58194],[-75.190796,40.586838],[-75.190146,40.590359],[-75.190369,40.591642],[-75.192291,40.602676],[-75.195923,40.606788],[-75.196803,40.60858],[-75.198499,40.611492],[-75.201348,40.614628],[-75.201812,40.617188],[-75.200708,40.618356],[-75.197891,40.619332],[-75.190691,40.619956],[-75.189283,40.621492],[-75.188579,40.624628],[-75.191059,40.637971],[-75.192276,40.640803],[-75.193492,40.642275],[-75.200468,40.646899],[-75.200452,40.649219],[-75.196676,40.655123],[-75.190852,40.661939],[-75.18794,40.663811],[-75.182756,40.665971],[-75.177491,40.672595],[-75.176803,40.675715],[-75.177587,40.677731],[-75.180564,40.679363],[-75.184516,40.679971],[-75.19058,40.679379],[-75.19692,40.681299],[-75.20092,40.685498],[-75.20392,40.691498],[-75.19872,40.705298],[-75.19442,40.714018],[-75.192612,40.715874],[-75.189412,40.71797],[-75.186372,40.72397],[-75.1825,40.729922],[-75.182084,40.731522],[-75.182804,40.73365],[-75.18578,40.737266],[-75.195349,40.745473],[-75.196325,40.747137],[-75.196861,40.750097],[-75.196533,40.751631],[-75.191796,40.75583],[-75.183037,40.759344],[-75.17904,40.761897],[-75.177477,40.764225],[-75.176855,40.768721],[-75.17562,40.772923],[-75.173349,40.776129],[-75.171587,40.777745],[-75.169523,40.778473],[-75.16365,40.778386],[-75.149378,40.774786],[-75.139106,40.773606],[-75.1344,40.773765],[-75.133303,40.774124],[-75.131465,40.77595],[-75.125867,40.784026],[-75.123088,40.786746],[-75.116842,40.78935],[-75.111343,40.789896],[-75.108505,40.791094],[-75.1008,40.799797],[-75.100277,40.801176],[-75.100165,40.803],[-75.100739,40.805488],[-75.100277,40.807578],[-75.098279,40.810286],[-75.096147,40.812211],[-75.090518,40.815913],[-75.085387,40.821972],[-75.083929,40.824471],[-75.083822,40.827805],[-75.085517,40.830085],[-75.09494,40.837103],[-75.097006,40.839336],[-75.097572,40.840967],[-75.097586,40.843042],[-75.097221,40.844672],[-75.095784,40.847082],[-75.090962,40.849187],[-75.076684,40.849875],[-75.073544,40.84894],[-75.07083,40.847392],[-75.066014,40.847591],[-75.064328,40.848338],[-75.060491,40.85302],[-75.053294,40.8599],[-75.051029,40.865662],[-75.050839,40.868067],[-75.051508,40.870224],[-75.053664,40.87366],[-75.058655,40.877654],[-75.062149,40.882289],[-75.065438,40.885682],[-75.07392,40.892176],[-75.07534,40.894162],[-75.075957,40.895694],[-75.075188,40.900154],[-75.076092,40.907042],[-75.076956,40.90988],[-75.079279,40.91389],[-75.095526,40.924152],[-75.09772,40.926679],[-75.105524,40.936294],[-75.106153,40.939671],[-75.111683,40.948111],[-75.117764,40.953023],[-75.118904,40.956361],[-75.119893,40.961646],[-75.120316,40.96263],[-75.12065,40.964028],[-75.11977,40.96651],[-75.120435,40.968302],[-75.120514,40.968369],[-75.122603,40.970152],[-75.129074,40.968976],[-75.131364,40.969277],[-75.13378,40.970973],[-75.135526,40.973807],[-75.135521,40.976865],[-75.133086,40.980179],[-75.132106,40.982566],[-75.13153,40.984914],[-75.131619,40.9889],[-75.130575,40.991093],[-75.127196,40.993954],[-75.123423,40.996129],[-75.110595,41.002174],[-75.109114,41.004102],[-75.100682,41.006716],[-75.095556,41.008874],[-75.090312,41.013302],[-75.089787,41.014549],[-75.081101,41.016838],[-75.074999,41.01713],[-75.070532,41.01862],[-75.040668,41.031755],[-75.034496,41.036755],[-75.030701,41.038416],[-75.025777,41.039806],[-75.02543,41.04071],[-75.026376,41.04444],[-75.025702,41.046482],[-75.019186,41.052968],[-75.017239,41.055491],[-75.015867,41.05821],[-75.015271,41.061215],[-75.01257,41.066281],[-75.011133,41.067521],[-75.006376,41.067546],[-74.999617,41.073943],[-74.994847,41.076556],[-74.989332,41.078319],[-74.98259,41.079172],[-74.970987,41.085293],[-74.968389,41.087797],[-74.966759,41.093425],[-74.967136,41.094441],[-74.967464,41.095327],[-74.969434,41.096074],[-74.972036,41.095562],[-74.975298,41.094073],[-74.981314,41.08986],[-74.984782,41.088545],[-74.988263,41.088222],[-74.991013,41.088578],[-74.991815,41.089132],[-74.991718,41.092284],[-74.982212,41.108245],[-74.979873,41.110423],[-74.972917,41.113327],[-74.969312,41.113869],[-74.966298,41.113669],[-74.964294,41.114237],[-74.947912,41.12356],[-74.947334,41.124439],[-74.947714,41.126292],[-74.945067,41.129052],[-74.931141,41.133387],[-74.923169,41.138146],[-74.905256,41.155668],[-74.90178,41.161394],[-74.901172,41.16387],[-74.899701,41.166181],[-74.889424,41.1736],[-74.882139,41.180836],[-74.878492,41.187504],[-74.878275,41.190489],[-74.874034,41.198543],[-74.867287,41.208754],[-74.860398,41.217454],[-74.859632,41.219077],[-74.859323,41.220507],[-74.860837,41.222317],[-74.866839,41.226865],[-74.867405,41.22777],[-74.866182,41.232132],[-74.862049,41.237609],[-74.861678,41.241575],[-74.857151,41.248975],[-74.856003,41.250094],[-74.854669,41.25051],[-74.848987,41.251192],[-74.846932,41.253318],[-74.845883,41.254945],[-74.845031,41.258055],[-74.846506,41.261576],[-74.846319,41.263077],[-74.841137,41.27098],[-74.838366,41.277286],[-74.834067,41.281111],[-74.830057,41.2872],[-74.821884,41.293838],[-74.815703,41.296151],[-74.812033,41.298157],[-74.806858,41.303155],[-74.792558,41.310628],[-74.791991,41.311639],[-74.792377,41.314088],[-74.795822,41.318516],[-74.79504,41.320407],[-74.792116,41.322465],[-74.789095,41.323281],[-74.781584,41.324229],[-74.774887,41.324326],[-74.771588,41.325079],[-74.766714,41.328558],[-74.763499,41.331568],[-74.760325,41.340325],[-74.755971,41.344953],[-74.753239,41.346122],[-74.735622,41.346518],[-74.730373,41.345983],[-74.720923,41.347384],[-74.708514,41.352734],[-74.704429,41.354043],[-74.700595,41.354553],[-74.694914,41.357423],[-74.641544,41.332879],[-74.607348,41.317774],[-74.499603,41.267344],[-74.457584,41.248225],[-74.378898,41.208994],[-74.365849,41.202999],[-74.320995,41.182394],[-74.301994,41.172594],[-74.234473,41.142883],[-74.21321,41.134192],[-74.18239,41.121595],[-74.096786,41.083796],[-74.092486,41.081896],[-74.041054,41.059088],[-74.041049,41.059086],[-73.91188,41.001297],[-73.907054,40.998476],[-73.90501,40.997591],[-73.90268,40.997297],[-73.893979,40.997197],[-73.896479,40.981697],[-73.90728,40.951498],[-73.91558,40.924898],[-73.91768,40.919498],[-73.917905,40.917577],[-73.918405,40.917477],[-73.919705,40.913478],[-73.926758,40.895355],[-73.929006,40.889578],[-73.933406,40.882078],[-73.933408,40.882075],[-73.938081,40.874699],[-73.948281,40.858399],[-73.953982,40.848],[-73.963182,40.8269],[-73.968082,40.8207],[-73.984822,40.797444],[-73.991568,40.788074],[-74.000223,40.77605],[-74.009184,40.763601],[-74.013784,40.756601],[-74.021117,40.727417],[-74.024543,40.709436],[-74.038538,40.710741],[-74.051185,40.695802],[-74.069885,40.684502],[-74.082786,40.673702],[-74.089986,40.659903],[-74.087397,40.653607],[-74.094086,40.649703],[-74.143387,40.641903],[-74.161397,40.644092],[-74.181083,40.646484],[-74.186027,40.646076],[-74.189106,40.643832],[-74.202223,40.631053],[-74.206731,40.594569],[-74.208988,40.576304],[-74.214788,40.560604],[-74.218189,40.557204],[-74.231589,40.559204],[-74.248641,40.549601],[-74.251441,40.542301],[-74.246237,40.520963],[-74.26829,40.499205],[-74.269998,40.495014],[-74.27269,40.488405],[-74.26759,40.471806],[-74.261889,40.464706],[-74.236689,40.457806],[-74.225035,40.453301],[-74.224047,40.452919],[-74.222959,40.452499],[-74.209788,40.447407],[-74.206188,40.440707],[-74.206419,40.438789],[-74.208655,40.43752],[-74.207205,40.435434],[-74.202128,40.43894],[-74.193908,40.440995],[-74.191309,40.44299],[-74.187787,40.447407],[-74.174787,40.455607],[-74.174893,40.454491],[-74.175074,40.449144],[-74.176842,40.44774],[-74.175346,40.446607],[-74.169977,40.45064],[-74.167009,40.448737],[-74.166193,40.447128],[-74.164029,40.448312],[-74.163314,40.448424],[-74.157787,40.446607],[-74.153611,40.447647],[-74.152686,40.447344],[-74.151952,40.448062],[-74.142886,40.450407],[-74.139886,40.453407],[-74.138415,40.454468],[-74.135823,40.455196],[-74.133727,40.454672],[-74.131135,40.453245],[-74.127466,40.451061],[-74.124692,40.44958],[-74.122327,40.448258],[-74.116863,40.446069],[-74.088085,40.438407],[-74.076185,40.433707],[-74.058984,40.422708],[-74.047884,40.418908],[-74.006383,40.411108],[-73.998505,40.410911],[-73.995486,40.419472],[-73.991682,40.442908],[-74.006077,40.464625],[-74.017783,40.472207],[-74.017917,40.474338],[-74.014031,40.476471],[-74.0071,40.475298],[-73.995683,40.468707],[-73.978282,40.440208],[-73.976982,40.408508],[-73.971381,40.371709],[-73.971381,40.34801],[-73.977442,40.299373],[-73.981681,40.279411],[-73.993292,40.237669],[-74.016017,40.166914],[-74.030181,40.122814],[-74.03408,40.103115],[-74.031861,40.101047],[-74.031318,40.100541],[-74.033546,40.099518],[-74.039421,40.081437],[-74.058798,40.001244],[-74.064135,39.979157],[-74.077247,39.910991],[-74.090945,39.799978],[-74.097071,39.767847],[-74.096906,39.76303],[-74.09892,39.759538],[-74.101443,39.756173],[-74.113655,39.740719],[-74.141733,39.689435],[-74.190974,39.625118],[-74.240506,39.554911],[-74.249043,39.547994],[-74.27737,39.514064],[-74.291585,39.507705],[-74.311037,39.506715],[-74.312451,39.499869],[-74.313689,39.493874],[-74.308344,39.483945],[-74.304778,39.482945],[-74.302184,39.478935],[-74.304343,39.471445],[-74.334804,39.432001],[-74.36699,39.402017],[-74.406692,39.377516],[-74.406792,39.373916],[-74.408237,39.365071],[-74.412692,39.360816],[-74.459894,39.345016],[-74.521797,39.313816],[-74.541443,39.300245],[-74.551151,39.293539],[-74.553439,39.286915],[-74.560957,39.278677],[-74.581008,39.270819],[-74.597921,39.258851],[-74.614481,39.244659],[-74.636306,39.220834],[-74.646595,39.212002],[-74.651443,39.198578],[-74.67143,39.179802],[-74.714341,39.119804],[-74.71532,39.116893],[-74.714135,39.114631],[-74.704409,39.107858],[-74.705876,39.102937],[-74.738316,39.074727],[-74.778777,39.023073],[-74.786356,39.000113],[-74.792723,38.991991],[-74.807917,38.985948],[-74.819354,38.979402],[-74.850748,38.954538],[-74.864458,38.94041],[-74.865198,38.941439],[-74.870497,38.943543],[-74.882309,38.941759],[-74.90705,38.931994],[-74.920414,38.929136],[-74.933571,38.928519],[-74.963463,38.931194],[-74.967274,38.933413],[-74.971995,38.94037],[-74.955363,39.001262],[-74.94947,39.015637],[-74.93832,39.035185],[-74.903664,39.087437],[-74.897784,39.098811],[-74.892547,39.113183],[-74.885914,39.143627],[-74.887167,39.158825],[-74.905181,39.174945],[-74.914936,39.177553],[-74.962382,39.190238],[-74.976266,39.192271],[-74.998002,39.191253],[-75.026179,39.193621],[-75.028885,39.19456],[-75.027824,39.199482],[-75.023586,39.202594],[-75.023437,39.204791],[-75.026376,39.20985],[-75.035672,39.215415],[-75.041663,39.215511],[-75.047797,39.211702],[-75.052326,39.213609],[-75.062506,39.213564],[-75.086395,39.208159],[-75.101019,39.211657],[-75.107286,39.211403],[-75.114748,39.207554],[-75.12707,39.189766],[-75.136548,39.179425],[-75.139136,39.180021],[-75.165979,39.201842],[-75.164798,39.216606],[-75.170444,39.234643],[-75.177506,39.242746],[-75.205857,39.262619],[-75.21251,39.262755],[-75.241639,39.274097],[-75.244056,39.27769],[-75.242881,39.280574],[-75.244357,39.2857],[-75.251806,39.299913],[-75.271629,39.304041],[-75.28262,39.299055],[-75.285333,39.292212],[-75.288898,39.289557],[-75.30601,39.301712],[-75.315201,39.310593],[-75.326754,39.332473],[-75.327463,39.33927],[-75.333743,39.345335],[-75.341969,39.348697],[-75.355558,39.347823],[-75.365016,39.341388],[-75.39003,39.358259],[-75.394331,39.363753],[-75.395181,39.371398],[-75.399304,39.37949],[-75.407294,39.381954],[-75.422099,39.386521],[-75.431803,39.391625],[-75.442393,39.402291],[-75.465212,39.43893],[-75.476279,39.438126],[-75.483572,39.440824],[-75.505672,39.452927],[-75.508383,39.459131],[-75.536431,39.460559],[-75.542894,39.470447],[-75.544368,39.479602],[-75.542693,39.496568],[-75.528088,39.498114],[-75.527141,39.500112],[-75.529368,39.501229],[-75.53014,39.505373],[-75.529978,39.510817],[-75.526654,39.526638],[-75.526787,39.53144],[-75.527676,39.535278],[-75.531575,39.536825],[-75.534014,39.540702],[-75.532342,39.54328],[-75.526003,39.548488],[-75.519026,39.555401],[-75.514756,39.562612],[-75.511932,39.567616],[-75.512732,39.578],[-75.515228,39.580752],[-75.519628,39.583248],[-75.521596,39.583088],[-75.525677,39.584048],[-75.531133,39.587984],[-75.534477,39.590384],[-75.537213,39.592944],[-75.53954,39.594251],[-75.539949,39.594384],[-75.543965,39.596],[-75.545405,39.596784],[-75.553502,39.602],[-75.55587,39.605824],[-75.556734,39.606688],[-75.557502,39.609184],[-75.556878,39.612144],[-75.558446,39.617296],[-75.559614,39.624208],[-75.559102,39.629056],[-75.559446,39.629812],[-75.556246,39.634912],[-75.550645,39.637912],[-75.547197,39.640528],[-75.542045,39.646012],[-75.539245,39.646112],[-75.535144,39.647212],[-75.526744,39.655113],[-75.526844,39.655713],[-75.526344,39.656413],[-75.522343,39.660813],[-75.518343,39.663913],[-75.514643,39.668613],[-75.511743,39.674313],[-75.509342,39.685313],[-75.509742,39.686113],[-75.509042,39.694513],[-75.507162,39.696961],[-75.504042,39.698313],[-75.496241,39.701413],[-75.491341,39.711113],[-75.488553,39.714833],[-75.485241,39.715813],[-75.483141,39.715513],[-75.481741,39.714546],[-75.47894,39.713813],[-75.47764,39.715013],[-75.476888,39.718337],[-75.477432,39.720561],[-75.47724,39.724713],[-75.47544,39.728713],[-75.475384,39.731057],[-75.474168,39.735473],[-75.469239,39.743613],[-75.466263,39.750737],[-75.466249,39.750769],[-75.463039,39.758313],[-75.463339,39.761213],[-75.459439,39.765813],[-75.452339,39.769013],[-75.447339,39.773313],[-75.448135,39.773969],[-75.448639,39.774113],[-75.440909,39.780831],[-75.437938,39.783413],[-75.405337,39.796213],[-75.415041,39.801786],[-75.403737,39.807512],[-75.390536,39.815312],[-75.389764,39.815819],[-75.371835,39.827612],[-75.3544,39.839917],[-75.341765,39.846082],[-75.330433,39.849012],[-75.323232,39.849812],[-75.309674,39.850179],[-75.293376,39.848782],[-75.271159,39.84944],[-75.243431,39.854597],[-75.235026,39.856613],[-75.221025,39.861113],[-75.210876,39.865709]]]},\"properties\":{\"name\":\"New Jersey\",\"nation\":\"USA \"}}]}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Digital flood-inundation maps for a nearly 6-mile reach of the Cuyahoga River at Jaite, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees. 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
Once numbering in the tens of millions, plains bison (Bison bison bison) were nearly driven to extinction with only a few hundred individuals remaining by the late 19th century. Plains bison have since recovered to approximately 20,000 animals managed in conservation herds throughout North America, yet substantial challenges to their recovery remain.
The Department of the Interior (DOI) is working with diverse partners to steward approximately 11,000 bison in 18 conservation herds across 12 states. Most herds exist in areas without native predators, and removals are required to keep herd sizes at or below carrying capacity. The loss of genetic diversity within bison, and the fact that most DOI herds are relatively small and isolated from each other with no opportunity for natural gene flow, raises concerns about maintaining genetic diversity over the long term. Connecting populations through gene flow (i.e., creating a metapopulation) can minimize loss of genetic diversity, both within and across populations.
Management of DOI bison conservation herds has historically varied across bureaus and conservation units. Adopting a national perspective on bison conservation was identified as a priority in the 2008 Department of the Interior Bison Conservation Initiative (BCI). The concept of metapopulation management as a potential tool to maximize the conservation of genetic diversity among DOI herds was first described in this 2008 Initiative and was specifically encouraged in the 2010 DOI Bison Conservation Genetics Workshop report (Dratch and Gogan 2010). In the 2020 BCI, the DOI re-affirmed its commitment to conserving bison as native, North American wildlife.
This document establishes a framework for a nationally coordinated strategy for bison managed by the DOI to support the genetic conservation goals outlined in the 2020 BCI. This is a decisionmaking framework that guides managers through the process of determining when and how to consider translocations. Decisions and actions within the framework are informed by analysis and interpretation of data housed in an integrated, relational database that will be initially populated with the most current data and updated annually thereafter. It provides science-based guidance on how to conserve DOI bison genetic diversity through strategic translocations, while also considering cattle introgression and bison health. We illustrate how this Strategy can be used to guide the establishment of new conservation herds and discuss what it means to be a DOI partner. Finally, this is intended to be used as a living document that will evolve as needs and technologies change.
","language":"English","publisher":"National Park Service","doi":"10.36967/2307352","usgsCitation":"Oyler-McCance, S.J., Jones, L.C., McCann, B., Zimmerman, S.J., Schoenecker, K., Santavy, P., and Moynahan, B., 2024, A metapopulation strategy to support long term conservation of genetic diversity in Department of the Interior bison: Science Report NPS/SR—2024/229, vi, 47 p., https://doi.org/10.36967/2307352.","productDescription":"vi, 47 p.","ipdsId":"IP-170017","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":465531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":922016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCann, Blake","contributorId":347580,"corporation":false,"usgs":false,"family":"McCann","given":"Blake","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":922017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santavy, Paul","contributorId":347091,"corporation":false,"usgs":false,"family":"Santavy","given":"Paul","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":922020,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moynahan, Brendan J","contributorId":347582,"corporation":false,"usgs":false,"family":"Moynahan","given":"Brendan J","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":922021,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263950,"text":"70263950 - 2024 - Global survey of paleo-bedforms on Mars","interactions":[],"lastModifiedDate":"2025-03-03T14:55:07.675739","indexId":"70263950","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Global survey of paleo-bedforms on Mars","docAbstract":"Sedimentary processes on Mars have contributed to a plethora of landforms, both ancient and modern. Many of these are aeolian- or fluvial-formed constructs that meet the morphologic criteria for dunes and ripples but are clearly lithified and part of the rock record. This study conducted a survey of Mars using data returned from the High Resolution Imaging Science Experiment (HiRISE) to characterize the spatial distribution, origin, and geologic context of these preserved ancient bedforms, termed here as paleo-bedforms. The most compelling class include organized groups of 2–80-m-tall, crescentic to transverse features spaced at 100–1000 m wavelengths at Apollinaris Sulci, Valles Marineris, and other low-latitude sites. These morphologies along with superposed craters, boulders, and fractures led to the interpretation that these are highly lithified, friable, and partially eroded ancient aeolian dunes. In addition to lithified dunes, other remnants of ancient bedforms include examples in which the dune was completely removed, leaving a shallow depression in a crescentic outline as dune cast pits. The most widespread occurrences of paleo-bedforms show crest-to-crest wavelengths (10–80 m), heights (∼1–4 m), and morphologies consistent with lower-order bedforms of megaripples or transverse aeolian ridges. Paleo-megaripple fields in Arcadia Planitia, Hellas Planitia, Terra Sirenum, and other locations exhibit a progression of degraded morphologies, with crests showing signs of rounding, pitting, or fracturing, while heights and slopes are diminished due to erosion. Most rare are the paleo-bedforms in the fluvial bedform class at Lethe Vallis and Holden crater, as they occur along the path of proposed ancient flooding events. More enigmatic paleo-bedform candidates occur concentrated along the steep Valles Marineris and Noctis Labyrinthus wall slopes. These intermediate-sized, arcuate landforms that resemble transverse climbing dunes are heavily cratered, but they may align perpendicular or oblique to the local gradient, perhaps formed by wall slope winds and slope creep.
The bedforms are unlike most ancient terrestrial aeolian or fluvial bedform systems, which are typically preserved only as truncated members of stratigraphic sections. Episodes of burial and exhumation by various geologic units (e.g., the Medusae Fossae Formation, pyroclastic units, lava flows, dust) are notable, whereas other bedforms appear to have been stabilized and partially lithified in place without burial. Ongoing agents of mass wasting, aeolian abrasion, and cryo-driven processes have contributed to the exhumation, erosion, and weathered appearance of paleo-bedforms, and a spectrum of degradation states was observed. Collectively, we report a diverse variety of ancient sedimentary bedforms preserved across Mars, with implications about paleoclimates and landscape evolution on Mars.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2024.109428","usgsCitation":"Chojnacki, M., Fenton, L.K., Edgar, L.A., Day, M.D., Edwards, C., Weintraub, A., Gullikson, A.L., and Telfer, M., 2024, Global survey of paleo-bedforms on Mars: Geomorphology, v. 466, 109428, 31 p., https://doi.org/10.1016/j.geomorph.2024.109428.","productDescription":"109428, 31 p.","ipdsId":"IP-164035","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2024.109428","text":"Publisher Index Page"},{"id":482733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":929315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":929316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":929320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weintraub, Aaron R","contributorId":238778,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron R","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":929319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Telfer, Matt","contributorId":351705,"corporation":false,"usgs":false,"family":"Telfer","given":"Matt","affiliations":[{"id":84036,"text":"SOGEES, University of Plymouth","active":true,"usgs":false}],"preferred":false,"id":929322,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261168,"text":"ofr20241069 - 2024 - Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T21:08:42.407925","indexId":"ofr20241069","displayToPublicDate":"2024-11-27T07:12:37","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":"2024-1069","displayTitle":"Outmigration Behavior and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in Response to Deep Drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","title":"Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","docAbstract":"An acoustic telemetry study was conducted during August 2023–February 2024 to evaluate outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in the Middle Fork Willamette River, Oregon, during an experimental operation that was designed to facilitate downstream passage through two reservoirs and two dams. The experimental operation consisted of lowering the water surface elevation of Lookout Point Reservoir by nearly 100 feet between August and December 2023, and passing water through regulating outlets at Lookout Point Dam. This operation was intended to reduce residence time for juvenile Chinook salmon in Lookout Point Reservoir so that these fish would enter the free-flowing Willamette River as quickly as possible. During our study, acoustic-tagged juvenile Chinook salmon were released weekly during late August to late October to determine how fish responded to the drawdown. Data collected during the study were analyzed using a temporally stratified multistate mark-recapture model. We found that Lookout Point Reservoir became isothermic during the drawdown and water temperature exceeded 18 degrees Celsius during most of September 2023. This appeared to adversely affect juvenile Chinook salmon because the proportion of tagged fish that were subsequently detected in the forebay of Lookout Point Dam following release at the head of Lookout Point Reservoir during August 30–September 29 ranged from 0.01 to 0.05 for weekly release groups. Detections increased to 0.44–0.52 for fish released later in the year when water temperatures decreased. We found that fish size was a significant predictor of survival as fork length was positively related to survival probability in reservoir and free-flowing river reaches of our study area, but negatively related to survival probability for fish passing Lookout Point Dam. We also found that increased regulating outlet flow at Lookout Point Dam resulted in increased survival probability for juvenile Chinook salmon and water temperature was inversely related to survival. Results from this study suggest that the drawdown failed to create conditions that facilitated downstream passage and survival of juvenile Chinook salmon through the Lookout Point Project. Our analysis provides insights into several key factors that influence survival. This information can be used by resource managers when considering revised operations that may lead to improved outmigration survival in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241069","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Hance, D.J., Kock, T.J., Kelley, J.R., Hansen, A.C., Perry, R.W., and Fielding, S.D., 2024, Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon: U.S. Geological Survey Open-File Report 2024–1069, 20 p., https://doi.org/10.3133/ofr20241069.","productDescription":"Report: vii, 20 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169049","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497903,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118055.htm","linkFileType":{"id":5,"text":"html"}},{"id":464547,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1069/coverthb2.jpg"},{"id":464548,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1069/ofr20241069.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1069"},{"id":464549,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241069/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1069"},{"id":464552,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1069/ofr20241069.XML"},{"id":464551,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1069/images"},{"id":464550,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BRZVC","text":"USGS data release","description":"USGS data release","linkHelpText":"Acoustic-tagged juvenile Chinook salmon (Oncorhynchus tshawytscha) detections in Lookout Point Reservoir and downstream in the Middle Fork Willamette River, Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Project, Middle Fork Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.83475416812524,\n 43.945953407421115\n ],\n [\n -122.83475416812524,\n 43.89190767942003\n ],\n [\n -122.73141100618557,\n 43.89190767942003\n ],\n [\n -122.73141100618557,\n 43.945953407421115\n ],\n [\n -122.83475416812524,\n 43.945953407421115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
The Little Sequatchie River and Pryor Cove Branch, in southern Tennessee, drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River near the southern end of the Sequatchie Valley. The Little Sequatchie River is the largest tributary to the Sequatchie River by drainage area, covering over 120 square miles. The hydrology of the two drainage areas has been largely altered by karst processes, which has caused the majority of the streams to sink at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and Tennessee Department of Environment and Conservation, initiated a study in 2021 to map the karst groundwater pathways in both watersheds in order to delineate recharge areas for several springs. One of these springs, Sequatchie Cave, represents a significant habitat for two Species of Greatest Conservation Need, the Glyphopsyche sequatchie (Sequatchie caddisfly) and the federally endangered Marstonia ogmorhaphe (royal marstonia). Springs and springflow-dominated streams in the Little Sequatchie River valley and Pryor Cove also provide water for agricultural practices and serve as a drinking water source for nearby communities. During the study, a total of 25 dye injections were conducted over eight rounds from January 2022 through March 2023. Dye traces from these injections helped to delineate recharge areas for six major springs, ranging from 7.3 to 65.2 square miles in area. The majority of the dye traces remained subsurface (from sinkpoint to recovery site) for long distances, with karst groundwater travelling nearly 8 miles before resurfacing. The dye traces also had rapid traveltimes, often travelling hundreds to thousands of feet per hour. The goal of this project was to provide scientific data related to karst groundwater pathways and spring recharge areas to aid State and Federal agencies in making informed decisions to protect and preserve this unique and vulnerable karst system.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The U.S. Geological Survey constructed a two-dimensional hydrodynamic model that was applied to a 15.8-mile tailwater reach of the Colorado River in Glen Canyon that begins 0.25 mile downstream from Glen Canyon Dam and extends to Lees Ferry in Glen Canyon National Recreation Area, Arizona. The model used the Flow and Sediment Transport with Morphological Evolution of Channels (FaSTMECH) solver in the International River Interface Cooperative (iRIC) modeling interface. The model grid was developed from a full channel digital elevation model derived by combining bathymetric and topographic data collected from March 2013 to February 2016. The model was used to predict water-surface elevations, depths, depth-averaged flow velocities, and bed shear stresses for discharges ranging from 1,000 to 70,000 cubic feet per second. Modeled water-surface elevations matched well with measured values at cross sections throughout the reach, with a mean absolute error of 0.14 meter over the range of typical discharge releases from Glen Canyon Dam. The mean error on discharge, a measure of how well the model solution converged, averaged 0.6 percent and did not exceed 2 percent over the range of discharges modeled. These results indicate that model predictions of hydraulic parameters are reasonably accurate and suitable for use for a variety of purposes, such as ecological and geomorphic modeling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1197","usgsCitation":"Wright, S.A., Kaplinski, M.A., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Data Report 1197, 9 p., https://doi.org/10.3133/dr1197.","productDescription":"Report: v, 9 p.; Data Release","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-161399","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":464434,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.XML"},{"id":464432,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1197/coverthb.jpg"},{"id":497908,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117828.htm","linkFileType":{"id":5,"text":"html"}},{"id":464437,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QTRNEB","text":"USGS Data Release","description":"Wright, S.A., Kaplinski, M., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment: U.S. Geological Survey data release, https://doi.org/10.5066/P1QTRNEB.","linkHelpText":"Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment"},{"id":464436,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1197/full"},{"id":464435,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1197/images"},{"id":464433,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.45495155269207,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.96381776712943\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
The Decompartmentalization Physical Model (DPM) was an experimental facility in the central Everglades operated between 2010 and 2022 to release high flows through a levee-enclosed area of degraded ridge and slough wetland that had been isolated from flow for sixty years. The purpose of DPM experimental program was to make measurements before, during, and after seasonal high-flow releases that could help guide the Congressionally authorized Everglades restoration project known as the Decompartmentalization and Sheet Flow Enhancement Project.
The DPM facility was operated by the South Florida Water Management District, with the U.S. Geological Survey (USGS) and several universities participating in experimental design and leading aspects of the research. The USGS research at DPM focused on measuring high-flow hydraulics and its sedimentary and ecological responses in downstream wetlands. USGS investigated interactions between flow and vegetation and microtopography that influenced flow velocity and water depth, bed shear stress, sediment entrainment, and the resulting downstream transport of suspended sediment and fate of particle-associated phosphorus. USGS also investigated high-flow changes in water-column mixing and gas exchange and resulting effects on metabolism of the aquatic ecosystem (primary productivity and respiration). USGS also investigated effects of built structures such as levee gaps that were constructed to reconnect levee-enclosed basins. This report describes the methods and results of the USGS-led data collection at DPM.
The USGS studies at DPM have identified factors that influence effectiveness of restoration, specifically how high-flow releases maximize sheet flow and affect sediment and nutrient dynamics while minimizing undesirable outcomes caused by past management that bypassed wetlands by conveying polluted water through canals to ecologically sensitive downstream areas. The DPM high-flow experiments reconnected the Water Conservation Area 3A and Water Conservation Area 3B basins, and it therefore has become a central feature of the restoration’s Decompartmentalization and Sheet Flow Enhancement Project. DPM’s scientific findings have already influenced the adaptive management of Everglades restoration in guiding elements of the final design and implementation of the Central Everglades Planning Project-South. In addition to serving Everglades restoration, the DPM has the potential to influence similar adaptive management programs throughout the nation’s network of federal and state-managed river corridors, floodplains, and riparian ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241063","usgsCitation":"Harvey, J., Choi, J., Larsen, L., Skalak, K., Maglio, M., Quion, K., Swartz, A., Lin, J.T.Y., Gomez-Velez, J., and Schmadel, N., 2024, High-flow experimental outcomes to inform Everglades restoration, 2010–22: U.S. Geological Survey Open-File Report 2024–1063, 72 p., https://doi.org/10.3133/ofr20241063.","productDescription":"Report: xi, 72 p.; 3 Data Releases","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-148372","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":464267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1063/coverthb.jpg"},{"id":464268,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":464271,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241063/full"},{"id":464270,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1063/images"},{"id":464269,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.XML"},{"id":464274,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9SQ85","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Quion, K., Lin, J.T., Swartz, A., Larsen, L.G., Haase, K., and Schmadel, N., 2024, High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism: U.S. Geological Survey, data release, https://doi.org/10.5066/P9A9SQ85.","linkHelpText":"- High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism"},{"id":464272,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQYB1O","text":"USGS Data Release","description":"Harvey, J.W., and Choi, J., 2022, Biophysical Data for Simulating Overland Flow in the Everglades: U.S. Geological Survey data release, https://doi.org/10.5066/P9DQYB1O.","linkHelpText":"- Biophysical Data for Simulating Overland Flow in the Everglades"},{"id":464273,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SP0HM1","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Larsen, L., Skalak, K., Maglio, M.M., Quion, K.M., Lin, T., Psaltakis, J.W., Buskirk, B.A., Swartz, A.G., Lewis, J.M., Gomez-Velez, J.D., and Schmadel, N.M., 2022, High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9SP0HM1.","linkHelpText":"- High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023)"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.1076224101966,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 26.691819233104567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Peak-flow (flood) frequency analysis is essential to water-resources management applications, including the design of critical infrastructure such as bridges and culverts, and floodplain mapping. Federal guidelines for performing peak-flow flood frequency analyses are presented in a U.S. Geological Survey Techniques and Methods Report known as Bulletin 17C. A basic assumption within Bulletin 17C, which documents the guidelines for determining annual peak streamflow frequency, is that, for basins without major hydrologic alterations (for example, regulation, diversion, and urbanization), statistical properties of the distribution of annual peak streamflows are stationary; that is, the mean, variance, and skew are constant through time. Nonstationarity is a statistical property of a peak-flow series such that the long-term (on the order of decades) distributional properties change one or more times either gradually or abruptly through time. Individual nonstationarities may be attributed to one source such as flow regulation, land-use change, or climate but are often the result of a combination of sources, making detection and attribution of nonstationarities challenging.
In response to a growing concern regarding nonstationarity in peak streamflows in the region, the U.S. Geological Survey, in cooperation with the Departments of Transportation of Illinois, Iowa, Michigan, Minnesota, Missouri, South Dakota, and Wisconsin; the Montana Department of Natural Resources and Conservation; and the North Dakota Department of Water Resources, assessed the potential nonstationarity in peak streamflows in the north-central United States. This chapter characterizes the effects of natural hydroclimatic shifts and potential climate change on annual peak streamflows in the State of South Dakota. Annual peak and daily streamflow as well as model-simulated gridded climatic data were examined for temporal monotonic trends, change points, and other statistical properties indicative of changing climatic and environmental conditions.
Changes in annual peak and daily flows were evaluated among 13, 35, and 81 qualifying U.S. Geological Survey streamgages for the 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, to September 30, 2020) in South Dakota, respectively. No qualifying streamgages were in the 100-year trend period in the State. Statistical tests for autocorrelation (independent and identically distributed assumption), monotonic trends, and change points in the median and scale are analyzed to evaluate potential stationarity violations (nonstationarity) for performing at-site peak-flow flood-frequency analysis. The trends are reported using a likelihood approach as an alternative to simply reporting significant trends with an arbitrary p-value cutoff point.
A distinct east-west spatial pattern of likely upward and downward monotonic trends and change points, respectively, was detected in 75- and 50-year trend periods, but an inconsistent spatial pattern was detected in the 30-year trend period. Additionally, change points in the median annual peak streamflows were detected in the late 1970s and early 1980s in the western part of the State, but in the east, the change point was more commonly detected in 1992–93. A similar east-west spatial pattern of likely upward and downward trends was detected in the annual peak-flow timing, the day of the year of the annal peak streamflow. In the western part of the State, the annual peak streamflows are arriving earlier, but in the east, the annual peak streamflows are arriving later. A peaks-over-threshold (POT) analysis where, on average, there are two events per year (POT2) and four events per year (POT4) was also used to evaluate changes in the frequency (count) of daily streamflows exceeding the threshold. Similar to detected changes in the annual peak streamflow, an east-west likely upward or downward change corresponding to an increase or decrease, respectively, in the frequency of daily streamflow greater than a POT2 and POT4 threshold was detected.
A monthly water-balance model was used to evaluate hydroclimatic variation in annual and seasonal precipitation, snowfall, potential evapotranspiration, and soil moisture storage for all qualifying streamgages in the 75-, 50-, and 30-year trend periods. Detected trends in the annual hydroclimatic metrics for the 75- and 50-year trend periods indicate a spatially consistent statewide increase in precipitation, decrease in snowfall, increase in potential evapotranspiration, and increase in soil moisture storage. Furthermore, detected trends in seasonal precipitation in the 75- and 50-year trend periods highlight a pronounced change in precipitation in winter and later into the summer season, especially in the 50-year trend period in the eastern part of the State. Statewide increases in seasonal soil moisture storage were also detected, highlighting year-round increasing flood magnitudes, particularly in the eastern part of the State.
Based on the results of these stationarity tests for the qualifying streamgages in South Dakota among the 75-, 50-, and 30-year trend periods, consistent temporal and spatial patterns of nonstationarity were detected among the 75- and 50-year trend periods. Furthermore, when nonstationarity is detected in daily streamflow, increased streamflow and volume (increasing frequency in POT), as well as potentially bridge scour, may have implications on culvert and highway design in the eastern part of South Dakota. Thus, when performing at-site peak-flow flood-frequency analyses in South Dakota, potential nonstationarities and alternative approaches are important considerations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064I","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation","usgsCitation":"Barth, N.A., and Sando, S.K., 2024, Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020, chap. I of Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 70 p., https://doi.org/10.3133/sir20235064I.","productDescription":"Report: x, 70 p.; Data Release; Dataset","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146340","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":497916,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117775.htm","linkFileType":{"id":5,"text":"html"}},{"id":463794,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064I/full"},{"id":463793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1920–2020"},{"id":463788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/coverthb.jpg"},{"id":463792,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":463791,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/images/"},{"id":463790,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/sir20235064i.XML"},{"id":463789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/sir20235064i.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5064–I"}],"country":"United States","state":"South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.054487,44.180381],[-104.055914,44.874986],[-104.057698,44.997431],[-104.039681,44.998041],[-104.040114,45.374214],[-104.045443,45.94531],[-100.430597,45.943638],[-99.005754,45.939944],[-98.414518,45.936504],[-96.56328,45.935238],[-96.564002,45.91956],[-96.56703,45.915682],[-96.56442,45.909415],[-96.568315,45.902902],[-96.568772,45.888072],[-96.571354,45.886673],[-96.571871,45.871846],[-96.574667,45.866816],[-96.572984,45.861602],[-96.574517,45.843098],[-96.583085,45.820024],[-96.596704,45.811801],[-96.612512,45.794442],[-96.627778,45.786239],[-96.638726,45.770171],[-96.641941,45.759871],[-96.652226,45.746809],[-96.662595,45.738682],[-96.672665,45.732336],[-96.711157,45.717561],[-96.745086,45.701576],[-96.75035,45.698782],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.852392,45.61484],[-96.857751,45.605962],[-96.801987,45.555414],[-96.79384,45.550724],[-96.76528,45.521414],[-96.745487,45.488712],[-96.743486,45.480649],[-96.738446,45.473499],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.60118,45.403181],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.469246,45.324941],[-96.468027,45.318619],[-96.46191,45.313884],[-96.453067,45.298115],[-96.451232,44.718375],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.584603,43.46961],[-96.587929,43.464878],[-96.600039,43.45708],[-96.60286,43.450907],[-96.594254,43.434153],[-96.587884,43.431685],[-96.575181,43.431756],[-96.570224,43.428601],[-96.573579,43.419228],[-96.562728,43.412782],[-96.557586,43.406792],[-96.537116,43.395063],[-96.531159,43.39561],[-96.529152,43.397735],[-96.525453,43.396317],[-96.521572,43.38564],[-96.521323,43.374607],[-96.526467,43.368314],[-96.527223,43.362257],[-96.526635,43.351833],[-96.524289,43.347214],[-96.534913,43.336473],[-96.528817,43.316561],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.555246,43.294803],[-96.56911,43.295535],[-96.573556,43.29917],[-96.581052,43.297118],[-96.579094,43.293797],[-96.577588,43.2788],[-96.580904,43.2748],[-96.582876,43.274594],[-96.582939,43.276536],[-96.586317,43.274319],[-96.58522,43.268878],[-96.576804,43.268308],[-96.564165,43.260239],[-96.554968,43.259998],[-96.552591,43.257769],[-96.552963,43.247281],[-96.565253,43.244241],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.554937,43.226775],[-96.540088,43.225698],[-96.535741,43.22764],[-96.526865,43.224071],[-96.519273,43.21769],[-96.500759,43.220767],[-96.496454,43.223652],[-96.485264,43.224183],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473777,43.198766],[-96.473834,43.189804],[-96.472395,43.185644],[-96.465146,43.182971],[-96.467292,43.164066],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.443431,43.133825],[-96.440801,43.123129],[-96.436589,43.120842],[-96.439335,43.113916],[-96.462855,43.091419],[-96.462636,43.089614],[-96.455337,43.088129],[-96.454088,43.084197],[-96.455209,43.075053],[-96.46085,43.064033],[-96.468207,43.06186],[-96.473165,43.06355],[-96.476905,43.062383],[-96.490365,43.050789],[-96.501748,43.048632],[-96.510256,43.049917],[-96.518431,43.042068],[-96.509145,43.037297],[-96.512916,43.029962],[-96.510995,43.024701],[-96.499187,43.019213],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512886,42.991424],[-96.512237,42.985937],[-96.516724,42.981458],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.503132,42.968192],[-96.500308,42.959391],[-96.504857,42.954659],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516419,42.935438],[-96.516888,42.932512],[-96.525536,42.935511],[-96.541689,42.922576],[-96.536564,42.905656],[-96.542847,42.903737],[-96.539397,42.899964],[-96.536007,42.900901],[-96.528886,42.89795],[-96.526357,42.891852],[-96.540116,42.889678],[-96.537851,42.878475],[-96.546394,42.874464],[-96.549659,42.870281],[-96.550469,42.863742],[-96.546556,42.857273],[-96.541708,42.858871],[-96.545502,42.849956],[-96.554709,42.846142],[-96.554203,42.843648],[-96.549976,42.840705],[-96.551285,42.836606],[-96.556162,42.836675],[-96.560572,42.839373],[-96.56284,42.836309],[-96.563058,42.831051],[-96.565605,42.830434],[-96.571353,42.837155],[-96.581604,42.837521],[-96.58238,42.833657],[-96.577813,42.828719],[-96.585699,42.818041],[-96.596008,42.815044],[-96.595664,42.810426],[-96.590913,42.808987],[-96.595283,42.792982],[-96.602575,42.787767],[-96.603784,42.78372],[-96.61949,42.784034],[-96.626406,42.773518],[-96.632142,42.770863],[-96.632212,42.761512],[-96.628741,42.757532],[-96.621235,42.758084],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.624704,42.725497],[-96.624446,42.714294],[-96.630617,42.70588],[-96.612555,42.698402],[-96.61017,42.694568],[-96.59908,42.697296],[-96.596625,42.695122],[-96.596405,42.688514],[-96.58562,42.687076],[-96.575299,42.682665],[-96.574064,42.67801],[-96.578148,42.672765],[-96.572261,42.670776],[-96.569194,42.675509],[-96.566684,42.675942],[-96.556244,42.664396],[-96.5599,42.662819],[-96.559962,42.658543],[-96.556214,42.657949],[-96.546827,42.661491],[-96.542366,42.660736],[-96.537877,42.655431],[-96.537881,42.646446],[-96.526766,42.641184],[-96.516338,42.630435],[-96.515918,42.624994],[-96.518542,42.62035],[-96.530896,42.617129],[-96.529894,42.610432],[-96.525671,42.609312],[-96.517048,42.615343],[-96.509468,42.61273],[-96.500183,42.594106],[-96.501037,42.589247],[-96.494777,42.585741],[-96.49545,42.579474],[-96.485796,42.575001],[-96.489328,42.5708],[-96.498709,42.57087],[-96.498041,42.558153],[-96.476952,42.556079],[-96.479909,42.524195],[-96.490802,42.520331],[-96.49297,42.517282],[-96.490089,42.512441],[-96.477454,42.509589],[-96.473339,42.503537],[-96.476909,42.497795],[-96.476509,42.493595],[-96.474409,42.491895],[-96.46255,42.490788],[-96.456348,42.492478],[-96.443408,42.489495],[-96.478792,42.479635],[-96.501321,42.482749],[-96.508587,42.486691],[-96.515891,42.49427],[-96.520683,42.504761],[-96.528753,42.513273],[-96.538036,42.518131],[-96.548791,42.520547],[-96.567896,42.517877],[-96.591121,42.50541],[-96.603468,42.50446],[-96.611489,42.506088],[-96.625958,42.513576],[-96.628179,42.516963],[-96.632882,42.528987],[-96.63533,42.54764],[-96.643589,42.557604],[-96.658754,42.566426],[-96.681369,42.574486],[-96.7093,42.603753],[-96.711546,42.614758],[-96.709485,42.621932],[-96.687788,42.645992],[-96.687082,42.652093],[-96.691269,42.6562],[-96.728024,42.666882],[-96.746949,42.666223],[-96.76406,42.661985],[-96.793238,42.666024],[-96.800986,42.669758],[-96.802178,42.672237],[-96.800485,42.692466],[-96.801652,42.698774],[-96.806219,42.704149],[-96.843419,42.712024],[-96.860436,42.720797],[-96.886845,42.725222],[-96.906797,42.7338],[-96.924156,42.730327],[-96.948902,42.719465],[-96.961576,42.719841],[-96.964776,42.722455],[-96.965833,42.727096],[-96.96123,42.740623],[-96.96888,42.754278],[-96.97912,42.76009],[-96.99282,42.759481],[-97.02485,42.76243],[-97.033229,42.765904],[-97.065592,42.772189],[-97.096128,42.76934],[-97.131331,42.771929],[-97.134461,42.774494],[-97.138216,42.783428],[-97.150763,42.795566],[-97.166978,42.802087],[-97.200431,42.805485],[-97.210126,42.809296],[-97.213084,42.813007],[-97.213957,42.820143],[-97.218269,42.829561],[-97.217411,42.843519],[-97.218825,42.845848],[-97.237868,42.853139],[-97.251764,42.855432],[-97.267946,42.852583],[-97.289859,42.855499],[-97.306677,42.867604],[-97.336156,42.856802],[-97.359569,42.854816],[-97.368643,42.858419],[-97.376695,42.865195],[-97.393966,42.86425],[-97.408315,42.868334],[-97.417066,42.865918],[-97.431951,42.851542],[-97.442279,42.846224],[-97.452177,42.846048],[-97.470529,42.850455],[-97.49149,42.851625],[-97.504847,42.858477],[-97.531867,42.850105],[-97.561928,42.847552],[-97.591916,42.853837],[-97.603762,42.858329],[-97.611811,42.858367],[-97.657846,42.844626],[-97.686506,42.842435],[-97.72045,42.847439],[-97.774456,42.849774],[-97.817075,42.861781],[-97.828496,42.868797],[-97.84527,42.867734],[-97.875345,42.858724],[-97.877003,42.854394],[-97.875849,42.847725],[-97.878976,42.843673],[-97.879878,42.835395],[-97.888562,42.817251],[-97.908983,42.794909],[-97.921434,42.788352],[-97.936716,42.775754],[-97.950147,42.769619],[-97.977588,42.769923],[-98.000348,42.763256],[-98.017228,42.762411],[-98.035034,42.764205],[-98.059838,42.772772],[-98.062913,42.781119],[-98.067388,42.784759],[-98.094574,42.799309],[-98.107688,42.810633],[-98.127489,42.820127],[-98.137912,42.832728],[-98.146933,42.839823],[-98.167523,42.836925],[-98.189765,42.841628],[-98.219826,42.853157],[-98.25181,42.872824],[-98.280007,42.874996],[-98.325864,42.8865],[-98.34623,42.902747],[-98.42074,42.931924],[-98.430934,42.931504],[-98.437285,42.928393],[-98.444145,42.929242],[-98.448309,42.936428],[-98.467356,42.947556],[-98.490483,42.977948],[-98.49855,42.99856],[-100.472742,42.999288],[-101.625424,42.996238],[-101.849982,42.999329],[-104.053127,43.000585],[-104.055488,43.853476],[-104.054487,44.180381]]]},\"properties\":{\"name\":\"South Dakota\",\"nation\":\"USA \"}}]}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Daily mean and peak streamflow conditions during the 3-year study were at or below average except for the peak flow in 2022. Each of the three sites included in the study had a coarse bed with an armored channel. Observed pier scour at each of the three sites was less than 20 percent than the stated minimum depth to the pier pile tip. The below average daily mean and peak streamflow during the study period may have resulted in below average scour.
Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. For the 3-year study period, the Coarse Bed design equation generally overpredicted scour by about 2.5 times less than the HEC-18 general pier scour equation. The risk associated with each design equation was summarized using a reliability index to describe how each prediction might be expected to reliably overestimate scour depth. Overall, the Coarse Bed design scour equation provided more reasonable scour depth estimates than the HEC-18 general pier scour equation but with more risk to underestimating scour depth. Because these data are limited (3 sites, 3 years, and during average streamflow conditions), further research is needed to compare observed scour data to estimates predicted by the Coarse Bed design equation and other design equations.
This study demonstrated that real-time pier scour monitoring is a useful method and countermeasure at critical bridge sites. A recently developed rapid deployment real-time pier scour monitoring method may be a useful method to consider for future studies. Real-time monitoring at scour critical sites may be a useful tool to confirm previous scour evaluation estimates where site inspection scour observations conflict with the scour evaluation estimates. Considering alternative scour monitoring and evaluation methods, including the rapid estimation method, and updating pier scour calculations using the most recent coarse-bed pier scour equation may offer a more cost-effective solution to identifying and updating scour critical coding for bridges in Idaho. For scour critical bridge sites, the real-time pier scour monitoring methods used for this study provided an effective real-time local pier scour monitoring countermeasure.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245095","collaboration":"Prepared in cooperation with the Idaho Transportation Department","usgsCitation":"Fosness, R.L., and Schauer, P.V., 2024, Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22: U.S. Geological Survey Scientific Investigations Report 2024–5095, 23 p., https://doi.org/10.3133/sir20245095.","productDescription":"Report; vii, 23 p.p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128131","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":497921,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117770.htm","linkFileType":{"id":5,"text":"html"}},{"id":463605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5095/images"},{"id":463604,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90332LD","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydraulic assessment summary at selected real-time pier scour monitoring sites in Idaho, 2020–2022"},{"id":463603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5095"},{"id":463602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5095"},{"id":463601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.jpg"},{"id":463606,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.XML"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Payette River, St. Joe River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.19181903119929,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.27634704869766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.98113730832642,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.79475425455084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.64141007600492,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.905644822917225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702-4250
The E-FRESH decision support tool is intended to facilitate assessment and comparison of different flow management scenarios on available habitat for various aquatic, riparian, and invertebrate species of interest. This tool also allows users to conduct a variety of analyses ranging from large-scale data processing and export to detailed and complex flow scenario manipulation around water rights and alternative climate futures.
","language":"English","publisher":"One Water Solutions Institute","doi":"10.25675/10217/239641","usgsCitation":"Wible, T., Holmquist-Johnson, C., Klingel, H., Morrison, R.R., Merritt, D., and Korsa, M., 2024, Environmental Flows for Riverine EcoSystem Habitats (E-FRESH) decision support tool user guide, 74 p., https://doi.org/10.25675/10217/239641.","productDescription":"74 p.","ipdsId":"IP-169441","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":464207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wible, Tyler","contributorId":346297,"corporation":false,"usgs":false,"family":"Wible","given":"Tyler","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klingel, Heidi","contributorId":346298,"corporation":false,"usgs":false,"family":"Klingel","given":"Heidi","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":918612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":918614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korsa, Matthew","contributorId":346299,"corporation":false,"usgs":false,"family":"Korsa","given":"Matthew","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918615,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260412,"text":"sim3527 - 2024 - Geomorphic map of the Umatilla River corridor, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T20:27:56.574752","indexId":"sim3527","displayToPublicDate":"2024-11-01T10:05:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3527","title":"Geomorphic map of the Umatilla River corridor, Oregon","docAbstract":"This map portrays the distribution of landforms along the Umatilla River in northeastern Oregon and covers a corridor 127 kilometers long from the confluence of the Umatilla River with the Columbia River upstream to Meacham Creek. The map encompasses the valley bottom and extends about 1 kilometer up the adjoining hillslopes. Map data are intended to support water quality and fisheries enhancement efforts pursuant to the First Foods, a resource-management approach that focuses on traditionally gathered foods including water, fish, big game, roots, and berries and calls attention to the reciprocity between people and the foods upon which humans depend.
The Umatilla River drains about 6,300 square kilometers on the northwest slope of the Blue Mountains in northeast Oregon. Most of the drainage basin is underlain by Miocene basalt flows of the Columbia River Basalt Group. Younger, weakly lithified, late Miocene and early Pliocene gravel deposits of local origin (for example, McKay Formation) are mapped in a few places. Upland surfaces are mantled with windborne silt (loess) correlative with deposits elsewhere known as the Palouse Formation. Surfaces below an elevation of about 340 meters were inundated repeatedly by large Pleistocene glacial outburst floods, most emanating from glacial Lake Missoula in western Montana. In backflooded areas such as the lower Umatilla River valley, Missoula floods deposited extensive slack-water silt.
Areas mapped as open water, active channel and tie channel, flood basin, valley bottom, and modified land constitute the geomorphic floodplain: the area subject to occasional inundation by the Umatilla River. Deposits and landforms within the floodplain are inset into Missoula flood deposits and hence postdate the 20–15-kilo-annum Missoula floods. Some floodplain deposits are no more than a few centuries old, as indicated by substantial erosion and deposition during the Umatilla River flood of February 2020, the largest since systematic measurements began in October 1903. Deposits and landforms of the floodplain are transient features within the longer-term incision of the Umatilla River into mid-Miocene flood basalts and younger gravel of the McKay Formation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3527","collaboration":"Prepared in cooperation with the Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Yuh, I.P., Haugerud, R.A., O'Connor, J.E., and O'Daniel, S.J., 2024, Geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey Scientific Investigation Map 3527, scale 1:12,000, 6 sheets, https://doi.org/10.3133/sim3527.","productDescription":"6 Sheets: 60.00 x 22.00 inches or smaller; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-158910","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497889,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117653.htm","linkFileType":{"id":5,"text":"html"}},{"id":463503,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13OOE7Q","description":"Yuh, I.P., Haugerud, R.A., O’Connor, J.E., and O’Daniel, S.J., 2024, Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P13OOE7Q.","linkHelpText":"Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon"},{"id":463502,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet06.pdf","text":"Sheet 6","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463501,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet05.pdf","text":"Sheet 5","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463500,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet04.pdf","text":"Sheet 4","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463499,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet03.pdf","text":"Sheet 3","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463498,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet02.pdf","text":"Sheet 2","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463497,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet01.pdf","text":"Sheet 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3527/covrthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla River corridor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.33321833933547,\n 45.68071824192785\n ],\n [\n -118.3561230993523,\n 45.730645505488894\n ],\n [\n -118.68247351832258,\n 45.7153349524672\n ],\n [\n -118.92979975453633,\n 45.69914300966221\n ],\n [\n -119.0766497072885,\n 45.72208021102742\n ],\n [\n -119.23122860492205,\n 45.82720081569687\n ],\n [\n -119.31238252617953,\n 45.9495910938214\n ],\n [\n -119.37228184901241,\n 45.932123278858995\n ],\n [\n -119.33556936082459,\n 45.81912165021458\n ],\n [\n -119.34329830570641,\n 45.7652305840443\n ],\n [\n -119.05732734508436,\n 45.64513599220672\n ],\n [\n -118.76555967580092,\n 45.630274925778025\n ],\n [\n -118.33238843274466,\n 45.66767113997548\n ],\n [\n -118.33321833933547,\n 45.68071824192785\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
350 N. Akron Rd.
Moffett Field, CA 94035
Sediment from the Central Valley via the Sacramento-San Joaquin Delta (Delta) and Suisun Bay is a primary source of sand to San Francisco Bay, California. Sand is mined from San Francisco Bay for commercial purposes, such as for use in concrete for construction. To better understand the supply of sand to Suisun Bay and San Francisco Bay, the U.S. Geological Survey (USGS), in cooperation with the San Francisco Bay Estuary Institute (SFEI) and the San Francisco Bay Conservation Development Commission (BCDC), initiated this study to compile and synthesize historical data and estimate the total sediment and sand portion of sediment exiting the Delta to Suisun Bay for a 20-year period between water years 2001 and 2020.
Sediment exiting the Delta is a combination of suspended sediment and bedload sediment. Seaward bedload transport was estimated using bedload transport equations and available hydraulic data at the two downstream-most streamgages in the Delta (where velocity is measured). Those two streamgages are about 25 kilometers upstream from the “exit” of the Delta at Mallard Island. The combined average annual net (seaward) bedload at these two streamgages was estimated to be 0.102 million cubic meters per year (Mm3/yr) for the study period. This volume of bedload is equivalent to 0.155 million metric tons per year (Mt/yr), assuming a bulk density of 1.517 metric tons per cubic meter (t/m3). The bedload composition was estimated to be 88 percent sand.
Between the two streamgages and Mallard Island, an annual average of 0.076 Mm3/yr of material was removed through mining during the study period, of which 97.5 percent was sand. In addition, 0.053 Mm3/yr was removed through dredging to support shipping and navigation, of which 76 percent was sand. The total volume of mined and dredged sediment material was approximately 0.128 Mm3/yr, equivalent to 0.194 Mt/yr, assuming a bulk density of 1.517 t/m3.
Assuming the estimated bedload reaching Mallard Island was reduced by mining and dredging, a mean bedload flux of −0.009 Mm3/yr was computed (using a bulk density of 1.517 t/m3), suggesting a deficit or landward transport of bedload. However, the total suspended-sediment and suspended-sand flux was in the seaward direction. The average total suspended flux of sediment to Suisun Bay through the cross section at the Mallard Island streamgage was estimated to be 0.482 million metric tons per year (Mt/yr; 0.015 Mt/yr sand) in the seaward direction. The results indicate a net flux out of the Delta of 0.469 Mt/yr of total sediment and 0.003 Mt/yr of sand.
The primary limitation of the study was the lack of physical bedload measurements to validate the bedload estimates. To better refine the estimates of bedload, physical measurements of bedload or repeat bathymetry would be necessary for a range of flow conditions. Such measurements could be used to calibrate transport equations and quantify the uncertainty in such estimates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241055","collaboration":"Prepared in cooperation with the San Francisco Estuary Institute Aquatic Science Center, the California State Coastal Conservancy, and the San Francisco Bay Conservation and Development Commission","programNote":"Water Availability and Use Science Program","usgsCitation":"Marineau, M.D., Hart, D., Ely, C.P., and McKee, L., 2024, Sand supply to San Francisco Bay from the Sacramento and San Joaquin Rivers of the Central Valley, California: U.S. Geological Survey Open-File Report 2024–1055, 18 p., https://doi.org/10.3133/ofr20241055.","productDescription":"Report: viii, 18 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-157560","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":463205,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1055/images"},{"id":463204,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1055/ofr20241055.xml"},{"id":463203,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1055/ofr20241055.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463201,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I18RGG","text":"USGS Data Release","description":"Ely, C.P., and Marineau, M.D., 2023, Estimated bedload transport rates at Rio Vista and Jersey Point, California, 2011–2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9I18RGG.","linkHelpText":"Estimated bedload transport rates at Rio Vista and Jersey Point, California, 2011–2020"},{"id":497888,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117739.htm","linkFileType":{"id":5,"text":"html"}},{"id":463206,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/ofr20241055/full"},{"id":463202,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1055/covrthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.29538442038356,\n 38.56577858557708\n ],\n [\n -122.29538442038356,\n 37.65383277017135\n ],\n [\n -121.19683028697757,\n 37.65383277017135\n ],\n [\n -121.19683028697757,\n 38.56577858557708\n ],\n [\n -122.29538442038356,\n 38.56577858557708\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
In support of Missouri’s Nutrient Loss Reduction Strategy, which was created to reduce the nutrient contamination of Missouri’s waterways from point and nonpoint sources, total phosphorus concentrations and loads were computed for the Missouri River at St. Joseph, Missouri, streamgage (U.S. Geological Survey station 06818000) and the Missouri River at Hermann, Mo., streamgage (U.S. Geological Survey station 06934500) for October 2007 to September 2022 using surrogate models and continuous turbidity sensor data. To obtain a more complete total phosphorus record for the study period, LOAD ESTimator (LOADEST) regression models using flow were used when turbidity sensor data were unavailable to estimate daily total phosphorus loads. This report presents the methods and results for the computed total phosphorus concentrations, loads, and yields for the two study sites on the Missouri River. With continued data collection and ongoing model evaluation and maintenance, the surrogate models may be useful into the future for computing total phosphorus concentrations and loads.
Daily mean total phosphorus concentrations calculated using a surrogate model at the Missouri River at St. Joseph, Mo., streamgage during the 15-year study period (water years 2008 through 2022) ranged from 0.104 to 4.56 milligrams per liter (mg/L; median of 0.272 mg/L), and computed total phosphorus daily loads (with gaps in the daily record filled using the LOADEST regression model) ranged from 5.19 to 1,760 tons per day (tons/d; median of 36.5 tons/d). Annual loads ranged from 9,570 tons in water year 2022 to 50,500 tons in water year 2019. The total load for the study period was 437,000 tons.
For the Missouri River at Hermann, Mo., streamgage during the same 15-year study period, daily mean total phosphorus concentrations, calculated using surrogate models applied to low and high turbidity values, ranged from 0.183 to 1.97 mg/L (median of 0.319 mg/L), and computed total phosphorus daily loads (with gaps in the daily record filled using the LOADEST regression model) ranged from 12.7 to 1,970 tons/d (median of 76.8 tons/d). Annual loads ranged from 22,600 tons in water year 2022 to 101,000 tons in water year 2019. The total load for the study period was 833,000 tons, which is nearly twice that at the Missouri River at St. Joseph, Mo., streamgage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245097","collaboration":"Prepared in cooperation with Missouri Department of Natural Resources","usgsCitation":"Markland, K.M., 2024, Use of continuous water-quality time-series data to compute total phosphorus concentrations and loads for the Missouri River at St. Joseph and Hermann, Missouri, 2007–22: U.S. Geological Survey Scientific Investigations Report 2024–5097, 26 p., https://doi.org/10.3133/sir20245097.","productDescription":"Report: vii, 26 p.; Data Release; Dataset","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161927","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":463254,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":463253,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245097/full"},{"id":463252,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5097/images/"},{"id":463251,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5097/sir20245097.XML"},{"id":463250,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5097/sir20245097.pdf","text":"Report","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5097"},{"id":463249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5097/coverthb.jpg"},{"id":497886,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117740.htm","linkFileType":{"id":5,"text":"html"}},{"id":463255,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P17PHYDZ","text":"USGS data release","linkHelpText":"Data and model archive summaries to support use of continuous water-quality time-series data to compute total phosphorus concentrations and loads for the Missouri River at St. Joseph and Hermann, Missouri, 2007–22"}],"country":"United States","state":"Missouri","city":"Hermann, St. Joseph","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.48454431267173,\n 38.7389466373896\n ],\n [\n -91.48454431267173,\n 38.678901791033724\n ],\n [\n -91.40123726792416,\n 38.678901791033724\n ],\n [\n -91.40123726792416,\n 38.7389466373896\n ],\n [\n -91.48454431267173,\n 38.7389466373896\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.002636709889,\n 39.854445017011784\n ],\n [\n -95.002636709889,\n 39.62967769348404\n ],\n [\n -94.65186218929263,\n 39.62967769348404\n ],\n [\n -94.65186218929263,\n 39.854445017011784\n ],\n [\n -95.002636709889,\n 39.854445017011784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240
To better understand the relation between climate variability and future groundwater resources in reach 1 of the Washita River alluvial aquifer and Foss Reservoir in western Oklahoma, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, used a previously published numerical groundwater-flow model and climate-model data to investigate changes in base flow and reservoir storage by evaluating three scenarios. The three projected climate scenarios were (1) a central-tendency scenario, (2) a warmer/drier scenario, and (3) a less-warm/wetter scenario. To estimate future base flow and groundwater availability in western Oklahoma, specifically in reach 1 of the Washita River alluvial aquifer, downscaled climate-model data from 231 Coupled Model Intercomparison Project phase 5 (CMIP5) projections coupled with a previously published numerical groundwater-flow model were used to compare the effects of different climate scenarios on the aquifer. Changes in base flow and groundwater-level elevations during a 30-year baseline scenario (1985–2014) and the three 30-year projected climate scenarios (2050–79) under central-tendency, warmer/drier, and less-warm/wetter climatic conditions were assessed by using the calibrated model. In the simulations, the amount of base flow and reservoir storage declined in the central-tendency and warmer/drier scenarios compared to the amount of base flow and reservoir storage under historical climatic conditions (baseline scenario). Mean annual change in reservoir storage decreased from the baseline scenario the most in the warmer/drier scenario, followed by the central-tendency scenario, but increased in the less-warm/wetter scenario compared to the baseline scenario. At the end of the simulation period (2079), the largest magnitude differences in groundwater-level elevations in all three projected climate scenarios relative to the baseline scenario occurred upstream from Foss Reservoir. Results from incorporating downscaled climate projections into localized numerical groundwater-flow models can highlight potential future changes in and implications for groundwater resources and availability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245082","issn":"2328-0328","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Labriola, L.G., Ellis, J.H., Gangopadhyay, S., Kirstetter, P.E., and Hong, Y., 2024, Use of a numerical groundwater-flow model and projected climate scenarios to simulate the effects of future climate conditions on base flow for reach 1 of the Washita River alluvial aquifer and Foss Reservoir storage, western Oklahoma: U.S. Geological Survey Scientific Investigations Report 2024–5082, 20 p., https://doi.org/10.3133/sir20245082.","productDescription":"Report: viii, 20 p.; 2 Datasets, Data Release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-140254","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":497883,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117736.htm","linkFileType":{"id":5,"text":"html"}},{"id":463125,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245082/full","description":"SIR 2024-5082 HTML"},{"id":463003,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5082/images"},{"id":463001,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5082/coverthb.jpg"},{"id":463000,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5082/images"},{"id":463006,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://waterdata.usgs.gov/ok/nwis/","text":"USGS Water Data for Oklahoma","linkHelpText":"- USGS NWIS water data for Oklahoma"},{"id":463066,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS Water Data for the Nation","linkHelpText":"- USGS NWIS database"},{"id":463005,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XFE87Q","text":"USGS Data Release","linkHelpText":"- MODFLOW-NWT model data used to simulate base flow and groundwater availability under different future climatic conditions for reach 1 of the Washita River alluvial aquifer and Foss Reservoir, western Oklahoma"},{"id":463124,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5082/sir20245082.XML","description":"SIR 2024-5082 XML"},{"id":463002,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5082/sir20245082.pdf","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5082"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Washita River alluvial aquifer and Foss Reservoir storage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.99793544098728,\n 35.9\n ],\n [\n -99.99793544098728,\n 35.458335525604184\n ],\n [\n -98.75,\n 35.458335525604184\n ],\n [\n -98.75,\n 35.9\n ],\n [\n -99.99793544098728,\n 35.9\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"A continuous-flow streamside toxicity test was completed to evaluate the risk posed by the use of 4-nitro-3-(trifluoromethyl)phenol (TFM), used to control Petromyzon marinus (sea lamprey), to Percina caprodes (logperch). Logperch are a host fish to the parasitic glochidia life stage of the federally endangered Epioblasma triquetra (snuffbox mussel). Streams with an extant population of snuffbox must be treated before May 1, 2023, to prevent inadvertent take through TFM-related mortality of glochidia-infested fish. Although the concentration of TFM required to induce 99.9 percent mortality of sea lamprey was 6.52 milligrams per liter, the TFM required to induce 25 percent mortality of logperch was 10.14 milligrams per liter. Our data indicate that logperch are not as sensitive to TFM as previously suggested.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241064","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service Sea Lamprey Control Program","usgsCitation":"Kirkeeng, C.A., Luoma, J.A., Schloesser, N., Schueller, J., and Kaye, C., 2024, Assessment of the sensitivity of Percina caprodes (logperch) to the pesticide 4-nitro-3-(trifluoromethyl)phenol: U.S. Geological Survey Open-File Report 2024–1064, 7 p., https://doi.org/10.3133/ofr20241064.","productDescription":"Report: vi, 7 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161522","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497880,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117735.htm","linkFileType":{"id":5,"text":"html"}},{"id":463108,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HHHKA","text":"USGS data release","linkHelpText":"Data and code release—Technical assistance bioassay to compare sea lamprey and logperch sensitivity to TFM"},{"id":463099,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241064/full"},{"id":463097,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1064/ofr20241064.XML"},{"id":463096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1064/ofr20241064.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1064"},{"id":463095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1064/coverthb.jpg"},{"id":463098,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1064/images/"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.8159644849273,\n 44\n ],\n [\n -85,\n 44\n ],\n [\n -85,\n 43.2\n ],\n [\n -83.8159644849273,\n 43.2\n ],\n [\n -83.8159644849273,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54603
The Mineral Mountains in southwestern Utah are a structurally controlled core complex at the confluence of the Colorado Plateau and the Basin and Range physiographic provinces. Aside from hosting Utah’s largest batholith, the Mineral Mountains host some of the State’s youngest high-silica rhyolites, which have been linked to a magma source that is presently being utilized as an enhanced geothermal system. The high-silica rhyolites take the form of effusive lavas and domes, and explosive products are rare. Previous K-Ar dating of these Pleistocene rhyolites placed eruptions between about 790 and 500 kilo-annum (ka) with contemporaneous basalts erupting in the valley to the east of the Mineral Mountains. Large uncertainties on these ages obscured the tempo of eruptions and thus hindered attempts to constrain the timescales of the petrogenetic processes that produced the rhyolites. In this study, we build on previous studies conducted in the 1970s and 1980s by using new geochronologic and geochemical data to investigate the temporal and spatial evolution of the youngest phase of volcanism in the Mineral Mountains. We identify two major eruptive periods, from approximately 850 to 750 ka and from approximately 590 to 480 ka. The older phase is characterized by the eruption of several basaltic lavas, two obsidian flows, and a series of coalescing porphyritic rhyolite domes. The younger phase included the eruption of six evolved high-silica rhyolite domes and one pyroclastic deposit, followed by the eruption of trachyandesite in the adjacent valley to the east. Whole-rock geochemical data indicate that the rhyolites can be divided into three chemical groups, with more evolved compositions erupting through time. The youngest rhyolites along the range crest have the lowest total iron and TiO2 concentrations and the highest incompatible element concentrations, indicative of increasing differentiation with time and elevation. Improved precision on the eruption ages indicates a recurrence interval of approximately 20 thousand years. The eruptive flux for both periods of rhyolitic volcanism is about 0.01 cubic kilometers per thousand years, which is less than the magma resurgence flux rates for syn-caldera and post-caldera eruptions of the Valles Caldera and Yellowstone Caldera volcanic systems. Collectively, these geochemical, geochronological, and volumetric data may facilitate a better understanding of heat flux and the longevity of magmatic sources related to geothermal resources in similar small-volume, silicic systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890K","usgsCitation":"Rivera, T.A., Jicha, B.R., Kirby, S., and Peacock, H.B., 2024, Temporal, spatial, and chemical evolution of Quaternary high-silica rhyolites in the Mineral Mountains, Utah, chap. K of Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, G.R., Connor, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 19 p., https://doi.org/10.3133/pp1890K.","productDescription":"v, 19 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-154539","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497878,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117732.htm"},{"id":462712,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/k/covrthb.png"},{"id":462713,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/k/pp1890k.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-K PDF"},{"id":500729,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/k/images"},{"id":500728,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/k/pp1890K.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1890-K XML"},{"id":500727,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890K/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-K HTML"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.1,\n 38.2\n ],\n [\n -112.5,\n 38.2\n ],\n [\n -112.5,\n 39.0\n ],\n [\n -113.1,\n 39.0\n ],\n [\n -113.1,\n 38.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
The National Volcano Early Warning System (NVEWS) was authorized and partially funded by the U.S. Government in 2019. In response, the U.S. Geological Survey (USGS) Volcano Hazards Program asked its scientists to reflect on and summarize their views of best practices for volcano monitoring. The goal was to review and update the recommendations of a previous report (Moran and others, 2008) and to provide a more detailed analysis of capabilities and instrumentation for monitoring networks for U.S. volcanoes. This Scientific Investigations Report and its chapters reflect those USGS scientists’ views and summaries and will serve as a guide for future network upgrades funded through NVEWS.
Given the well-documented hazards posed by volcanoes to population centers and aviation (for example, Blong, 1984; Scott, 1989; Neal and others, 1997, 2019; Guffanti and others, 2010; Shroder and Papale, 2014; Prata and Rose, 2015; Palmer, 2020), volcano monitoring is critical for ensuring public safety and for mitigating the impacts of volcanic activity. Accurate and timely forecasts are facilitated by well-designed monitoring networks that are in place long enough to allow for background behavior to be recognized and understood. Because precursory signals may be limited and unrest may progress rapidly to an eruption, our goal is to deploy monitoring systems that enable detection of the reactivation of dormant volcanoes as early as possible, allowing for public safety and risk mitigation. NVEWS planning is also informed by the results of Ewert and others (2005, 2018), whereby 161 U.S. volcanoes are currently categorized and ranked commensurate with their relative threat.
In each chapter, author(s) considered the need for some redundancy of instrumentation and telemetry, given the likelihood of occasional equipment failure, particularly in extreme and remote environments. Establishing digital telemetry networks requires advanced planning, sighting, radio-shot testing, and, inevitably, troubleshooting in the field. This is harder to achieve rapidly during a crisis; thus, an important goal for monitoring U.S. volcanoes is to establish digital telemetry backbones with redundancy and extra capacity to absorb additional instruments should a volcano begin to exhibit signs of unrest (fig. A1). The National Telecommunications and Information Administration (NTIA) imposed new regulations in the United States, eliminating the use of older analog radios for many purposes, which had been one previous means for redundant data delivery. However, the resulting conversion from analog to digital systems usefully enables stations to accommodate new and multivariate real-time data streams (for example, Global Navigation Satellite System [GNSS] receivers, infrasound arrays, gas spectrometers, visible and infrared cameras, and broadband seismometers).
We note that other USGS and broader national and international hazard programs can leverage NVEWS instrumentation plans. Examples of this include the following:
Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508