The last 16 years witnessed a rapid growth in understanding the composition and aqueous alteration of Mars’ surface from orbital data from the Observatoire pour la Mineralogie, l’Eau, les Glaces et l’Activité (OMEGA) [1] and Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) [2]. Both are sensitive to water-, hydroxyl-, sulfate-, and carbonate-bearing and ferric phases that record past liquid water. As the spatial resolution of such data has improved, and supporting laboratory data have been acquired, the diversity of mineral phases that are recognized has likewise expanded. The same phases typically contain recoverable water, a resource for future human exploration, and are the only near-surface water reservoir in the >50% of Mars over which ice likely does not occur in the shallowest subsurface. Knowledge of the distribution and abundance of these water-bearing phases, and their geologic implications, is limited by spatial resolution of the available data. A revolutionary advance in understanding the inventory, diversity, and stratigraphy of these materials can be obtained from Mars orbit, using two complementary approaches: hyperspectral imaging at ~6 meters per pixel at 0.7–4 µm, and 1 meter-per-pixel imaging at selected VSWIR wavelengths from 0.4–1.7 µm.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planetary science and astrobiology decadal survey 2023-2032","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Academy of Sciences","doi":"10.3847/25c2cfeb.7da7980b","usgsCitation":"Murchie, S.L., Arvidson, R.E., Bishop, J., Calvin, W.M., Carter, J., Christian, J., Clark, R., Dundas, C.M., Ehlmann, B.L., Fox, V.K., Fraeman, A.A., Goudge, T.A., Horgan, B.H., Hughes, M.N., Leask, E.K., McEwen, A.S., Mustard, J., Parente, M., Powell, K.E., Seelos, F.P., Seelos, K.D., Tarnas, J.D., Viviano, C.E., and Wray, J.J., 2021, Maximizing the science and resource mapping potential of Orbital VSWIR Spectral measurements of Mars: Bulletin of the AAS, v. 53, no. 4, Whitepaper #119, 8 p., https://doi.org/10.3847/25c2cfeb.7da7980b.","productDescription":"Whitepaper #119, 8 p.","ipdsId":"IP-119870","costCenters":[{"id":131,"text":"Astrogeology Science 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Growing evidence indicates that much of this ice is relatively pure, exists within a few meters of the surface, and reaches lower latitudes than previously thought, potentially providing an accessible record of the recent climate and a large in situ resource for future human exploration of Mars. We are reaching the limits of currently available datasets, however, just as we are starting to unlock the climate record and determine the water resources contained within the Martian mid-latitudes. A comprehensive understanding of the nature of this ice would significantly enhance our understanding of Mars’ climate history and total water budget, as well as the effects of orbital/axial forcing on volatiles. In this regard, Mars is a testbed for comparative planetary climate studies, including for exoplanets; these studies are particularly valuable because Mars has many similarities to Earth but lacks the complicating effects of oceans and a biosphere, such that orbital/axial forcing dominates climate variability.
Quantifying the volumes, distribution, and properties of the water ice are crucial for addressing two overarching questions in the next decade:
1. What climate record is preserved in mid-latitude ice deposits on Mars?
2. How accessible is the ice as a resource for future exploration?
New missions will enable us to capitalize on the major discoveries of the last decade and take the next giant leap in the upcoming decade to address these questions.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planetary science and astrobiology decadal survey 2023-2032","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Academy of Sciences","doi":"10.3847/25c2cfeb.cc90422d","usgsCitation":"Bramson, A., Andres, C., Bapst, J., Becerra, P., Courville, S.W., Dundas, C.M., Hibbard, S.M., Holt, J.W., Karunatillake, S., Khuller, A., Mellon, M.T., Morgan, G.A., Obbard, R.W., Perry, M.R., Petersen, E.I., Putzig, N.E., Sizemore, H.G., Smith, I.B., Stillman, D.E., and Wooster, P., 2021, Mid-latitude ice on Mars: A science target for planetary climate histories and an exploration target for in situ resources: Bulletin of the AAS, v. 53, no. 4, Whitepaper #115, 8 p., https://doi.org/10.3847/25c2cfeb.cc90422d.","productDescription":"Whitepaper #115, 8 p.","ipdsId":"IP-120079","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/25c2cfeb.cc90422d","text":"Publisher Index Page"},{"id":390418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bramson, Ali","contributorId":189477,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","affiliations":[],"preferred":false,"id":793316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andres, Chimira","contributorId":229481,"corporation":false,"usgs":false,"family":"Andres","given":"Chimira","email":"","affiliations":[{"id":41656,"text":"U. 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Precipitation from the 2016 event totaled 6.60 inches in 3 hours (National Oceanic and Atmospheric Administration, 2016). Precipitation from the 2018 storm totaled 6.56 inches in 3 hours (National Oceanic and Atmospheric Administration, 2018).
In the aftermath of both storms, personnel from the U.S. Geological Survey (USGS) performed indirect discharge measurements to determine peak flow on the three streams that drain through the downtown area of Ellicott City and empty into the Patapsco River. High-water marks were flagged on selected reaches of three streams, Hudson Branch (station 01589017), Tiber Branch (station 01589019), and New Cut Branch (station 01589021) (fig. 2). Peak flows were computed using flow-through-culvert techniques with road overflow for Hudson Branch and slope-area techniques for Tiber Branch and New Cut Branch.
This fact sheet describes the basin characteristics, hydrologic characteristics, and flood history of the Ellicott City, Maryland, area. The storms and flood characteristics for July 30, 2016, and May 27, 2018, are described. Peak discharges computed from the indirect discharge measurements for Hudson Branch, Tiber Branch, and New Cut Branch are presented for the storms and floods of July 30, 2016, and May 27, 2018. To provide historical perspective on these floods in Ellicott City, results from the indirect discharge measurement computations were compared to peak flows from 75 USGS streamgages and 6 miscellaneous sites in Maryland and Delaware that resulted from intense storms in August and September 1971 (Carpenter, 1974). The findings indicate that although the Ellicott City storms and floods from July 30, 2016, and May 27, 2018, are considered very rare in terms of their probability of occurrence, other storms have occurred in the Maryland and Delaware regions in the past that have produced comparable runoff characteristics relative to drainage-area magnitude.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213025","usgsCitation":"Doheny, E.J., and Nealen, C.W., 2021, Storms and floods of July 30, 2016, and May 27, 2018, in Ellicott City, Howard County, Maryland: U.S. Geological Survey Fact Sheet 2021–3025, 6 p., https://doi.org/10.3133/fs20213025.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-114401","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":385345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3025/coverthb.jpg"},{"id":385346,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3025/fs20213025.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021-3025"}],"country":"United States","state":"Maryland","county":"Howard 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Maryland-Delaware-D.C. Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Catonsville, MD 21228
The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, used noninvasive surface geophysics in the investigation of the distribution of saline groundwater in the valley-fill aquifer system of the Genesee River Valley near the former Retsof salt mine in western New York. In 1994, the Retsof salt mine, the largest of its kind in the western hemisphere, underwent a catastrophic roof collapse that resulted in groundwater inflow from the valley-fill aquifer system and bedrock fracture zones into the mine through two bedrock-rubble chimneys and the subsequent dissolution and filling of the mine with saturated brine. Since the early 2000s, except for a period of remedial pumping in 2006 to 2013, high-salinity water has migrated upward through the rubble chimneys into the basal part the aquifer system. The extent of saline-water migration within the aquifer system had not been evaluated since the end of remedial pumping when all the monitoring wells were grouted shut and abandoned. Installation of a monitoring-well network would be expensive and difficult given the thickness and heterogeneous character of valley fill. An investigation of the current extent of saline water in the aquifer system was warranted because the basal part of the aquifer is shallow to the north and it is used for water supply.
In fall 2016 and fall 2017, the U.S. Geological Survey collected time-domain electromagnetic soundings at 105 sites along 13 cross-valley transects north and south of the mine-collapse area, east of Piffard, and on the Fowlerville Moraine. The time-domain electromagnetic soundings were colocated with passive-seismic measurements to estimate the bedrock-surface elevation through use of a regression equation developed from measurements at well sites with reported bedrock depths in the study area. An integrated analysis of the time-domain electromagnetic soundings with the depth-to-bedrock estimates, well logs, and past chloride-monitoring data suggests the presence of a zone of high electrical conductivity associated with saline water in the confined lower part of the valley-fill aquifer system. This high-salinity zone delineated in the lower confined aquifer extends from the mine-collapse area northward for more than 2.5 miles (4.0 kilometers). The chloride concentration in groundwater within this high-conductivity zone may be about 20,000 milligrams per liter. Saline water flowing upward through the bedrock-rubble chimneys and mixing with northward groundwater flow in the lower confined aquifer likely is a major source of chlorides for this high-conductivity zone. The northern extent of the zone is unclear because of the presence of highly saline water zones that were delineated by time-domain electromagnetic soundings in the lower confined aquifer and uppermost bedrock and are probably associated with historic salt-solution wells in Piffard or possibly sourced from natural brine pools.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215008","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Williams, J.H., Kappel, W.M., Johnson, C.D., White, E.A., Heisig, P.M., and Lane, J.W., Jr., 2021, Time-domain electromagnetic soundings and passive-seismic measurements for delineation of saline groundwater in the Genesee valley-fill aquifer system, western New York, 2016–17: U.S. Geological Survey Scientific Investigations Report 2021–5008, 25 p., https://doi.org/10.3133/sir20215008.","productDescription":"Report: vii, 25 p.; 1 Plate: 49.96 x 35.95 inches; 3 Data Releases","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108173","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":385251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5008/coverthb.jpg"},{"id":385369,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VQOCRZ","text":"USGS data release","linkHelpText":"Time-domain electromagnetic soundings to delineate saline groundwater in the Genesee valley-fill aquifer system, New York (2016-2017)"},{"id":385368,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J354SU","text":"USGS data release","linkHelpText":"Chloride concentrations from wells in the Genesee River Valley, Livingston County, New York"},{"id":385367,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LI7CCR","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio and depth-to-bedrock data for saline-groundwater investigation in the Genesee valley, New York, October-November 2016 and 2017"},{"id":385366,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5008/sir20215008_plate1.pdf","text":"Plate 1","size":"59.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Electrical-conductivity transects from time-domain electromagnetic soundings, top of bedrock estimated from passive-seismic measurements, and lithostratigraphic logs of selected boreholes along 13 transects in the Genesee River Valley, western New York, 2016–17"},{"id":385365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5008/sir20215008.pdf","text":"Report","size":"3.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5008"}],"country":"United States","state":"New York","otherGeospatial":"Genesee Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.93701171875,\n 42.54397489736545\n ],\n [\n -77.68363952636719,\n 42.54397489736545\n ],\n [\n -77.68363952636719,\n 42.97802779741624\n ],\n [\n -77.93701171875,\n 42.97802779741624\n ],\n [\n -77.93701171875,\n 42.54397489736545\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
A cloudburst on 7 August 2018 in the coastal bluffs of the Atlantic Highlands, New Jersey, induced flooding, erosion and multiple shallow slope failures that adversely affected the surrounding hillside residential area. Historically, short-duration deluges are rare in the New York Bay region, with only eight cloudbursts of greater magnitude documented since 1948. The coastal bluffs consist of a variably thick, sandy surficial material overlying flat-lying, mostly non-indurated Cretaceous and Tertiary sediments, including some low-permeability glauconitic units. The bluffs have been affected by both historical deep-seated and shallow landslide movement, the latter typically related to heavy, relatively long-duration rainfall associated with tropical cyclones and nor'easters. The shallow hydrological response during the rare cloudburst was captured at two hydrological monitoring sites and yielded insights into rapidly changing moisture conditions resulting in slope failure. Additional information is provided on historical cloudbursts that have affected the region, antecedent moisture conditions, and documented landslide types and processes.
","language":"English","publisher":"Geological Society of America","doi":"10.1144/qjegh2020-127","usgsCitation":"Ashland, F., Reilly, P.A., and Fiore, A.R., 2021, Capturing the transient hydrological response in sandy soils during a rare cloudburst associated with shallow slope failures; A case study in the Atlantic Highlands, New Jersey, USA: Quarterly Journal of Engineering Geology and Hydrogeology, v. 54, no. 4, qjegh2020-127, 10 p., https://doi.org/10.1144/qjegh2020-127.","productDescription":"qjegh2020-127, 10 p.","ipdsId":"IP-113986","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":436389,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A601HC","text":"USGS data release","linkHelpText":"Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018"},{"id":387111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.1851806640625,\n 40.250184183819854\n ],\n [\n -73.8226318359375,\n 40.250184183819854\n ],\n [\n -73.8226318359375,\n 40.48873742102282\n ],\n [\n -74.1851806640625,\n 40.48873742102282\n ],\n [\n -74.1851806640625,\n 40.250184183819854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ashland, Francis 0000-0001-9948-0195 fashland@usgs.gov","orcid":"https://orcid.org/0000-0001-9948-0195","contributorId":198587,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis","email":"fashland@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":819186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819188,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221865,"text":"70221865 - 2021 - Demethylation of methylmercury in bird, fish, and earthworm","interactions":[],"lastModifiedDate":"2021-07-12T14:25:31.068851","indexId":"70221865","displayToPublicDate":"2021-04-29T08:55:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Demethylation of methylmercury in bird, fish, and earthworm","docAbstract":"Toxicity of methylmercury (MeHg) to wildlife and humans results from its binding to cysteine residues of proteins, forming MeHg-cysteinate (MeHgCys) complexes that hinder biological functions. MeHgCys complexes can be detoxified in vivo, yet how this occurs is unknown. We report that MeHgCys complexes are transformed into selenocysteinate (Hg(Sec)4) complexes in multiple animals from two phyla (a waterbird, freshwater fish, and earthworms) sampled in different geographical areas and contaminated by different Hg sources. In addition, high energy-resolution X-ray absorption spectroscopy and chromatography-ICP mass spectrometry of the waterbird liver support the binding of Hg(Sec)4 to selenoprotein P and biomineralization of Hg(Sec)4 to chemically inert nanoparticulate mercury selenide (HgSe). The results provide a foundation for understanding mercury detoxification in higher organisms, and suggest that the identified MeHgCys to Hg(Sec)4 demethylation pathway is common in nature.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c04948","usgsCitation":"Manceau, A., Bourdineaud, J., Oliveira, R.B., Sarrazin, S.L., Krabbenhoft, D.P., Eagles-Smith, C., Ackerman, J.T., Stewart, R., Ward-Deitrich, C., del Castillo Busto, M.E., Goenaga-Infante, H., Wack, A., Retegan, M., Detlefs, B., Glatzel, P., Bustamante, P., Nagy, K.L., and Poulin, B., 2021, Demethylation of methylmercury in bird, fish, and earthworm: Environmental Science & Technology, v. 55, no. 3, p. 1527-1534, https://doi.org/10.1021/acs.est.0c04948.","productDescription":"7 p.","startPage":"1527","endPage":"1534","ipdsId":"IP-122030","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":819062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819064,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":222246,"corporation":false,"usgs":true,"family":"Stewart","given":"Robin","email":"","affiliations":[{"id":37277,"text":"WMA - 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2021 - Performance of bedload sediment transport formulas applied to the Lower Minnesota River","interactions":[],"lastModifiedDate":"2021-05-04T11:42:09.813275","indexId":"70220275","displayToPublicDate":"2021-04-29T07:24:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Performance of bedload sediment transport formulas applied to the Lower Minnesota River","docAbstract":"Despite limitations in reproducing complex bedload sediment transport processes in rivers, formulas have been preferred over collection and analysis of field data due to the high cost and time-consuming nature of bedload discharge measurements. However, the performance of such formulas depends on the hydraulic and sedimentological conditions they attempt to describe. The availability of field measurements provides a unique opportunity to test bedload transport formulas to better guide formula selection. Hydraulic parameters and bedload discharge data from the Lower Minnesota River and two of its tributaries were used to evaluate nine bedload transport formulas using three different indices. The bedload data for the different sites were collected by the United States Geological Survey (USGS) from 2011 through 2014, with bed material varying from very coarse to medium sand. The formulas calculated higher bedload rates than were measured due to a combination of site-specific physical characteristics, including the presence of bed forms (dunes), and sampling uncertainties. Because of the lack of reproducibility of the tested formulas, five power functions, based on the relation between the specific unit power (independent hydraulic variable) and the USGS measured data (dependent variable), were derived as provisional equations to estimate the bedload discharge on the Lower Minnesota River and tributaries.
Reservoir properties of coal seams such as gas and water effective permeabilities and gas content, as well as spatial distributions thereof, affect the success of gas production and CO2-enhanced gas recovery (EGR) with simultaneous CO2 sequestration. These properties change during production and injection operations due to variations in reservoir pressure, matrix shrinkage/swelling, and water saturation and are therefore referred to as dynamic properties. Predicting distribution of such important reservoir properties and how they evolve during production, or injection, at unsampled locations can be particularly important for field development and project economics.
In this work, dynamic properties of Black Creek coal seam of Black Warrior Basin, Alabama were mapped using pointwise results from single-well production history matching of 45 wells and classical geostatistics. It is explored if this approach can be a proxy, with its limitations, to multi-well reservoir simulation. For this purpose, a reservoir model was built using available reservoir, well and production data to compare its results with those of the geostatistical maps for the same properties. Despite the expected local discrepancies due to differences between the two approaches, the results showed similar patterns and global distributions. Specific results showed that despite long-time operation of the wells in this area, there were still areas with high gas content and low gas effective permeability within the modeled time interval that might have benefited from further development using additional wells.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2021.103766","usgsCitation":"Karacan, C.O., 2021, Single-well production history matching and geostatistical modeling as proxy to multi-well reservoir simulation for evaluating dynamic reservoir properties of coal seams: International Journal of Coal Geology, v. 241, 103766, 10 p., https://doi.org/10.1016/j.coal.2021.103766.","productDescription":"103766, 10 p.","ipdsId":"IP-124559","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":385530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","city":"Tuscaloosa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.8082275390625,\n 32.9764120829052\n ],\n [\n -86.912841796875,\n 32.9764120829052\n ],\n [\n -86.912841796875,\n 33.669496972795535\n ],\n [\n -87.8082275390625,\n 33.669496972795535\n ],\n [\n -87.8082275390625,\n 32.9764120829052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"241","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815294,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70220246,"text":"ofr20211040 - 2021 - Assessment of wave attenuation, current patterns, and sediment deposition and erosion during winter storms by living shoreline structures in Gandys Beach, New Jersey","interactions":[],"lastModifiedDate":"2021-04-29T11:46:56.483387","indexId":"ofr20211040","displayToPublicDate":"2021-04-28T14:35:04","publicationYear":"2021","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":"2021-1040","displayTitle":"Assessment of Wave Attenuation, Current Patterns, and Sediment Deposition and Erosion During Winter Storms by Living Shoreline Structures in Gandys Beach, New Jersey","title":"Assessment of wave attenuation, current patterns, and sediment deposition and erosion during winter storms by living shoreline structures in Gandys Beach, New Jersey","docAbstract":"This study was conducted by the U.S. Geological Survey and Northeastern University in cooperation with the U.S. Fish and Wildlife Service and The Nature Conservancy. This report summarizes field investigation and analysis of waves, current patterns, and sediment deposition and erosion along the Gandys Beach, New Jersey, salt marsh vegetated shoreline and mudflat, where living shoreline structures (for example, oyster reefs) were constructed to protect the marsh shoreline and enhance habitat for oyster and other species. Constructed oyster reefs (CORs, also known as oyster castles) provide shoreline protection and habitat for fish and shellfish communities via wave energy attenuation. However, the processes and mechanism of CORs on wave attenuation and current circulation remain unclear, thus limiting the assessment of COR effectiveness for shoreline protection. This report presents the results of the field investigation on wave characteristics, current patterns, and marsh edge erosion along a shoreline with CORs in Delaware Bay. To measure the effectiveness of these CORs, six pressure transducers, six tilt current meters, multiple sediment traps, and marsh edge erosion pins were deployed from February to April 2018 in Gandys Beach in upper Delaware Bay. The spatial variations of wave heights measured on both sides of the CORs indicate a strong dependence of wave attenuation on the ratio between the freeboard of the CORs and the offshore wave heights. It was found that swell energy originating from the Atlantic Ocean can penetrate the CORs without any dampening even when the CORs are emergent, whereas the wind seas are more impacted by the CORs. Tidal current velocity and circulation patterns near the CORs (for example, the current velocity was higher than 10 centimeters per second [cm/s] and even up to 30 cm/s in the gaps between the CORs compared to less than 10 cm/s in the control area) differ from those in the control area without protection from the CORs and are greatly affected by the surrounding bathymetry. The combined effect of living shoreline structures on wave attenuation and changes in circulation patterns over the study period resulted in the reduction of shoreline erosion both vertically and laterally compared to that in the control area and also resulted in changes in the grain size distribution in both the water column and the salt marsh and mudflat areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211040","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and The Nature Conservancy
Prepared in collaboration with Northeastern University
Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st St.
Gainesville, FL 32653
Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the river and tributaries of the Clark Fork. Water samples were collected periodically at 20 sites from October 2018 through September 2019. Bed-sediment and tissue samples were collected once at 13 sites during July 2019.
Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace-element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2019.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211027","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.D., Hornberger, M.I., Hepler, E.J., Cleasby, T.E., and Heinert, T.L., 2021, Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2018–September 2019: U.S. Geological Survey Open-File Report 2021–1027, 16 p., https://doi.org/10.3133/ofr20211027.","productDescription":"Report: vi, 16 p.; Data Release; Dataset","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-122934","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":385286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1027/coverthb.jpg"},{"id":385287,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1027/ofr20211027.pdf","text":"Report","size":"1.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 1027–1027"},{"id":385288,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GKHL8W","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2018–September 2019"},{"id":385289,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.13421630859374,\n 47.10565336099383\n ],\n [\n -114.39788818359375,\n 47.025206001585396\n ],\n [\n -114.25506591796875,\n 46.613601326659726\n ],\n [\n -114.00238037109375,\n 46.58718152732907\n ],\n [\n -113.15917968749999,\n 46.15890744507131\n ],\n [\n -112.69775390625,\n 45.84793427349226\n ],\n [\n -112.00836181640625,\n 46.15319980124842\n ],\n [\n -111.88201904296875,\n 46.428392162921234\n ],\n [\n -113.00262451171875,\n 46.848921470800455\n ],\n [\n -113.631591796875,\n 47.13368783277605\n ],\n [\n -114.13421630859374,\n 47.10565336099383\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
The Mars Orbiter for Resources, Ices, and Environments (MORIE) was selected as one of NASA's 2019 Planetary Mission Concept Studies. The mission builds upon recent discoveries and current knowledge gaps linked to two primary scientific questions: (1) when did elements of the cryosphere form and how are ice deposits linked to current, recent, and ancient climate, and (2) how does the crust record the evolution of surface environments and their transition through time? Addressing these questions has emerged in numerous recent reports as a high priority in investigating the evolution of Mars as a habitable world. A subsidiary goal of the mission concept is to provide information relevant to the eventual human exploration of Mars, specifically helping to locate and quantify near-surface water ice and hydrated mineral resources. The proposed instrument suite includes polarimetric synthetic aperture radar imaging, radar sounding, high-resolution visible and infrared imaging, both short-wave and thermal-infrared spectroscopy, and multichannel wide-angle imaging. MORIE would provide novel measurements of Mars expected to lead to significant new discoveries by the first radar imaging from orbit, radar sounding directly over the poles, and mineral mapping at spatial scales that will unravel geologic sequence stratigraphy through time. The final report of the mission concept provides details on the spacecraft, orbital design, technological maturity, results from systems-level integration studies, and costs. This article is intended to expand upon the science motivation for the mission, the measurement goals and objectives, and the instrument trade space that was examined in detail during the concept study.
","language":"English","publisher":"American Astronomical Society","doi":"10.3847/PSJ/abe4db","usgsCitation":"Calvin, W.M., Putzig, N.E., Dundas, C.M., Bramson, A.M., Horgan, B.H., Seelos, K.D., Sizemore, H.G., Ehlmann, B.L., Morgan, G.A., Holt, J.W., Murchie, S.L., and Patterson, G.W., 2021, The Mars Orbiter for Resources, Ices, and Environments (MORIE) science goals and instrument trades in radar, imaging, and spectroscopy: The Planetary Science Journal, v. 2, no. 76, 13 p., https://doi.org/10.3847/PSJ/abe4db.","productDescription":"13 p.","ipdsId":"IP-124773","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/abe4db","text":"Publisher Index Page"},{"id":385894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"2","issue":"76","noUsgsAuthors":false,"publicationDate":"2021-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Calvin, Wendy M. 0000-0002-6097-9586","orcid":"https://orcid.org/0000-0002-6097-9586","contributorId":189159,"corporation":false,"usgs":false,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":816318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putzig, Nathaniel E. 0000-0003-4485-6321","orcid":"https://orcid.org/0000-0003-4485-6321","contributorId":208684,"corporation":false,"usgs":true,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":816319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":816320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bramson, Ali M 0000-0003-4903-0916","orcid":"https://orcid.org/0000-0003-4903-0916","contributorId":201618,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","middleInitial":"M","affiliations":[{"id":27205,"text":"U. 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N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":816322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seelos, Kim D 0000-0001-7236-0580","orcid":"https://orcid.org/0000-0001-7236-0580","contributorId":258277,"corporation":false,"usgs":false,"family":"Seelos","given":"Kim","email":"","middleInitial":"D","affiliations":[{"id":36691,"text":"JHU APL","active":true,"usgs":false}],"preferred":false,"id":816323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":816324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":816325,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":816326,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holt, John W 0000-0003-1314-7848","orcid":"https://orcid.org/0000-0003-1314-7848","contributorId":237030,"corporation":false,"usgs":false,"family":"Holt","given":"John","email":"","middleInitial":"W","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":816327,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murchie, Scott L. 0000-0002-1616-8751","orcid":"https://orcid.org/0000-0002-1616-8751","contributorId":189161,"corporation":false,"usgs":false,"family":"Murchie","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":816328,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Patterson, G Wesley 0000-0003-4787-3899","orcid":"https://orcid.org/0000-0003-4787-3899","contributorId":239986,"corporation":false,"usgs":false,"family":"Patterson","given":"G","email":"","middleInitial":"Wesley","affiliations":[{"id":36691,"text":"JHU APL","active":true,"usgs":false}],"preferred":false,"id":816329,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70220215,"text":"70220215 - 2021 - Arctic insect emergence timing and composition differs across thaw ponds of varying morphology","interactions":[],"lastModifiedDate":"2021-04-28T13:21:06.753259","indexId":"70220215","displayToPublicDate":"2021-04-27T08:17:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Arctic insect emergence timing and composition differs across thaw ponds of varying morphology","docAbstract":"Freshwater ponds provide habitats for aquatic insects that emerge and subsidize consumers in terrestrial ecosystems. In the Arctic, insects provide an important seasonal source of energy to birds that breed and rear young on the tundra. The abundance and timing of insect emergence from arctic thaw ponds is poorly understood, but understanding these fluxes is important, given the role of insects in food webs and current rates of environmental change at high latitudes. We aimed to evaluate emerging insect communities from thaw ponds with different morphologies, identify environmental covariates influencing insect composition, and describe temporal changes in insect abundance. We collected environmental information and insects that emerged over two growing seasons and examined the phenology and taxonomic composition of insects arising from different pond classes: low centered polygon, small coalescent, large coalescent, and trough ponds. Our findings indicated no differences in the timing of total emergence across ponds of varying morphology. Community dissimilarity was primarily associated with center or margin habitat and variables that differed strongly among pond classes. These insects, which provide important provisions for various species of birds, are likely to experience changes in emergence phenology and composition due to ongoing, rapid warming in the region.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2021.1902249","usgsCitation":"Laske, S.M., Gurney, K.E., Koch, J.C., Schmutz, J.A., and Wipfli, M.S., 2021, Arctic insect emergence timing and composition differs across thaw ponds of varying morphology: Arctic, Antarctic, and Alpine Research, v. 53, no. 1, p. 110-126, https://doi.org/10.1080/15230430.2021.1902249.","productDescription":"17 p.","startPage":"110","endPage":"126","ipdsId":"IP-121723","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":452558,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2021.1902249","text":"Publisher Index Page"},{"id":436391,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FG9DEO","text":"USGS data release","linkHelpText":"Insect Emergence from Arctic Coastal Plain Thaw Ponds, 2012-2013"},{"id":385352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144.0087890625,\n 70.01307827710367\n ],\n [\n -153.1494140625,\n 71.00265967789278\n ],\n [\n -156.77490234375,\n 71.28669893545877\n ],\n [\n -163.14697265625,\n 69.90766734108514\n ],\n [\n -163.49853515625,\n 68.73638345287264\n ],\n [\n -155.126953125,\n 68.37490016066832\n ],\n [\n -149.17236328125,\n 68.80004113882613\n ],\n [\n -143.98681640625,\n 69.9830151028733\n ],\n [\n -144.0087890625,\n 70.01307827710367\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":814832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurney, Kirsty E. 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Sea lamprey, a destructive invasive species in the Laurentian Great Lakes and conservation target in North America and Europe, is among very few fishes that possess and use oral suction, yet suction has not been exploited for sea lamprey control or conservation. Knowledge of specific characteristics of sea lamprey suction (e.g., amplitude, duration, and pattern of suction events; hereafter ‘suction dynamics’) may be useful to develop devices that detect, record, and respond to the presence of sea lamprey at a given place and time. Previous observations were limited to adult sea lampreys in static water. In this study, pressure sensing panels were constructed and used to measure oral suction pressures and describe suction dynamics of juvenile and adult sea lampreys at multiple locations within the mouth and in static and flowing water. Suction dynamics were largely consistent with previous descriptions, but more variation was observed. For adult sea lampreys, suction pressures ranged from –0.6 kPa to –26 kPa with 20 s to 200 s between pumps at rest, and increased to –8 kPa to –70 kPa when lampreys were manually disengaged. An array of sensors indicated that suction pressure distribution was largely uniform across the mouths of both juvenile and adult lampreys; but some apparent variation was attributed to obstruction of sensing portal holes by teeth. Suction pressure did not differ between static and flowing water when water velocity was lower than 0.45 m/s. Such information may inform design of new systems to monitor behavior, distribution and abundance of lampreys.
In August 2019, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Patillas to update stage-volume data in order to determine the sediment infill rates and to generate a bathymetry map. Water-depth data were collected along predefined lines using single-beam depth sounder and Differential Global Positioning System technology. The study also included delineating a new reservoir shoreline based on 2016–17 light detection and ranging data and the establishment of a new official vertical datum at the reservoir referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02). Survey results indicated that the storage capacity was 12.96 million cubic meters in 2019 at an elevation of 67.55 meters above PRVD02. The mean annual loss of capacity from 1961 to 2019 is 0.08 million cubic meters per year. The point of zero remaining storage of Lago Patillas is projected to be 161 years, ending in 2180.
The new vertical datum referenced to PRVD02 was established at Lago Patillas by conducting a Global Navigation Satellite System static observation in March 2019, which indicated that the spillway elevation is 67.55 meters. The new spillway elevation datum supersedes the previous datum (mean sea level) used on the island of Puerto Rico.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3471","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, J.M., 2021, Bathymetric survey and sedimentation analysis of Lago Patillas, Puerto Rico, August 2019: U.S. Geological Survey Scientific Investigations Map 3471, 1 sheet, https://doi.org/10.3133/sim3471.","productDescription":"1 Sheet: 45.00 x 3.6.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-122145","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":385306,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3471/sim3471.pdf","text":"Sheet","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3471"},{"id":385307,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y2SCY1","text":"USGS data release","description":"USGS data release","linkHelpText":"Spatial and bathymetric data for Lago Patillas, Puerto Rico, August 2019"},{"id":385305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3471/coverthb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, Lago Patillas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.0446548461914,\n 18.005998640427865\n ],\n [\n -65.9974479675293,\n 18.005998640427865\n ],\n [\n -65.9974479675293,\n 18.039625778656163\n ],\n [\n -66.0446548461914,\n 18.039625778656163\n ],\n [\n -66.0446548461914,\n 18.005998640427865\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Maryland, called “America in Miniature,” encompasses nearly every geographical feature in the United States except a desert. Water dominates the State, whose borders run along much of Chesapeake Bay. The bay is the country’s largest estuary, where freshwater from watershed tributaries mingles with the ocean’s saltwater and teems with life.
The Chesapeake Bay faces threats from erosion, pollution, rising sea levels, and natural disasters. Because the Chesapeake Bay is prominent in Maryland’s history, economy, natural diversity, and way of life, protecting its waters and ecosystems is a priority for the State. Landsat imagery helps with a number of these efforts. Maryland also has a special relation with Landsat satellites; the USGS manages their flight operations out of NASA’s Goddard Space Flight Center in Greenbelt.
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\"}}]}","edition":"Version 1.0: April 26, 2021; Version 1.1: January 18, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
From the iconic skyline of New York City to the forested landscapes of the Adirondack Mountains and the countryside of the Allegheny Plateau, the State of New York is overflowing with diversity and life. Bordered by the Atlantic Ocean on the east and two of the Great Lakes to the north and west, New York has more than 7,600 lakes, ponds, and reservoirs and more than 70,000 miles of rivers and streams. New York’s stewardship of its freshwater resources is fundamental to the health and well-being of all who work at, reside in, and visit the State’s landmarks and places.
Harmful algal blooms in the State’s waterbodies are a growing concern and threaten the health of the region and its inhabitants. Images and data from Landsat satellites continue to provide critical information to scientists, public health officials, and resource managers who are studying the effects and risks of the problem.
Here is a closer look at just a few examples of the value of Landsat to New York.
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York\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: April 26, 2021; Version 1.1: January 23, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
A numerical surface-water/groundwater model was developed for the lower San Antonio River Basin to evaluate the responses of low base flows and groundwater levels within the basin under conditions of reduced recharge and increased groundwater withdrawals. Batch data assimilation through history matching used a simulation of historical conditions (2006-2013); this process included history-matching to groundwater levels and base-flow estimates at several gages, and was completed in a high-dimensional (highly parameterized) framework. The model was developed in an uncertainty framework such that parameters, observations, and scenarios of interest are envisioned stochastically as distributions of potential values. Results indicate that groundwater contributions to surface water during periods of low flow may be reduced from 6% to 25% with a corresponding 25% reduction in recharge and a 25% increase in groundwater pumping over an 8-year planning period. Furthermore, results indicate groundwater-level reductions in some hydrostratigraphic units are more likely than in other hydrostratigraphic units over an 8-year period under drought conditions with the higher groundwater withdrawal scenario.
Water level (WL) fluctuations substantially alter the fauna, flora, and microbial community of nearshore aquatic ecosystems. Water level management therefore has the potential to strongly influence a wide variety of ecosystem processes. Many northern temperate lake food webs experience substantial methylmercury contamination, which is partially mediated by the action of sulfate-reducing bacteria occurring in sediments that are periodically inundated. For lakes with elevated methylmercury, WL management could be designed to reduce methylmercury contamination. At the lake scale, this concept is supported by studies that identified statistical associations between fish mercury content and water level (WL) fluctuations. Here, we compiled a long-term dataset (1997–2015) of mercury content in young-of-year Yellow Perch (Perca flavescens) from six lakes on the border of the United States and Canada and examined whether mercury content was associated with WL fluctuation. Many WL metrics covary and appear to have strong associations with Yellow Perch mercury. However, these associations appear to vary by lake, and lake-specific models are needed to identify relationships between WL fluctuation and Yellow Perch mercury content. We used partial least-squares regression (PLSR) to identify the associations between Yellow Perch mercury content and WL metrics, temperature, and annual deposition data for lakes in northern Minnesota. These PLSR models not only showed some variation among lakes, but also supported strong associations between WL fluctuations and annual variation in Yellow Perch mercury content. The study lakes underwent a change in WL management in 2000, when winter WL minimums were increased by about 1 m in five of the six study lakes, which reduced annual WL fluctuation on those lakes. Using the PLSR models, we estimated how this change in WL management would have affected Yellow Perch mercury content. In four of the five study lakes in which annual WL fluctuation was reduced in 2000, the change in WL management likely reduced Yellow Perch mercury content, relative to the previous WL management regime.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3465","usgsCitation":"Larson, J.H., Maki, R., Christensen, V., Hlavacek, E., Sandheinrich, M.B., LeDuc, J.F., Kissane, C., and Knights, B.C., 2021, Mercury and water level management in lakes of northern Minnesota: Ecosphere, v. 12, no. 4, e03465, 17 p., https://doi.org/10.1002/ecs2.3465.","productDescription":"e03465, 17 p.","ipdsId":"IP-119750","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":489137,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3465","text":"Publisher Index Page"},{"id":436398,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96TWNJL","text":"USGS data release","linkHelpText":"Mercury and water level fluctuations in lakes of northern Minnesota - sampling site land cover and inundated area data"},{"id":387629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.240966796875,\n 48.16058943132621\n ],\n [\n -92.37991333007812,\n 48.16058943132621\n ],\n [\n -92.37991333007812,\n 48.62383195130112\n ],\n [\n -93.240966796875,\n 48.62383195130112\n ],\n [\n -93.240966796875,\n 48.16058943132621\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":820352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandheinrich, Mark B.","contributorId":149084,"corporation":false,"usgs":false,"family":"Sandheinrich","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":820355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeDuc, Jaime F.","contributorId":190132,"corporation":false,"usgs":false,"family":"LeDuc","given":"Jaime","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":820356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kissane, Claire","contributorId":178240,"corporation":false,"usgs":false,"family":"Kissane","given":"Claire","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":820357,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820358,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220382,"text":"70220382 - 2021 - Riverine complexity and life history inform restoration in riparian environments in the southwestern U.S.","interactions":[],"lastModifiedDate":"2021-10-06T14:50:26.808765","indexId":"70220382","displayToPublicDate":"2021-04-23T07:52:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Riverine complexity and life history inform restoration in riparian environments in the southwestern U.S.","docAbstract":"Riparian habitat in the southwestern USA has undergone substantial degradation over the past century, prompting extensive management and restoration of these critical ecosystems. Most restoration efforts, however, do not account for life history traits or riverine complexity that may influence genetic diversity and structure. Here, we use simple sequence repeat (SSR) markers in four southwestern riparian species (Populus fremontii, Salix gooddingii, S. exigua, and Prosopis glandulosa) that occupy a geographically complex region to address four questions: 1) How is river connectivity related to genetic diversity and structure? 2) How do mating systems and dispersal mechanisms influence gene flow? 3) Is genetic diversity influenced by unidirectional water flow? 4) How do unregulated tributary and regulated river flows affect clonality and associated diversity? Our results identify five findings: 1) Patterns of genetic diversity and structure vary substantially across different species; 2) species with geographic distributions that include a large, perennial river exhibit the least genetic structure; 3) mating system, clonality, and seed dispersal are related to genetic structure; 4) genetic diversity is variable among species and populations, but does not increase or decrease unidirectionally; and 5) clonality and associated diversity does not differ along a regulated river relative to unregulated tributaries. Our multispecies approach to understanding how riverine complexity and life history traits influence genetic diversity and structure could be incorporated into management efforts to more closely match riparian species with their unique environments, thereby facilitating restoration success.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.13418","usgsCitation":"Palmquist, E.C., Allan, G.J., Ogle, K., Whitham, T.G., Butterfield, B.J., and Shafroth, P., 2021, Riverine complexity and life history inform restoration in riparian environments in the southwestern U.S.: Restoration Ecology, v. 29, no. 7, e13418, 11 p., https://doi.org/10.1111/rec.13418.","productDescription":"e13418, 11 p.","ipdsId":"IP-122036","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JLNJGJ","text":"USGS data release","linkHelpText":"Plant genetic structure data from riparian areas within the Grand Canyon region in northern Arizona"},{"id":385541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.08203125,\n 34.74161249883172\n ],\n [\n -110.36865234374999,\n 34.74161249883172\n ],\n [\n -110.36865234374999,\n 36.98500309285596\n ],\n [\n -114.08203125,\n 36.98500309285596\n ],\n [\n -114.08203125,\n 34.74161249883172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":815308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Gerald J","contributorId":257926,"corporation":false,"usgs":false,"family":"Allan","given":"Gerald","email":"","middleInitial":"J","affiliations":[{"id":52178,"text":"Northern Arizona University, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":815309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":815310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":815311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":815312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":815313,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70220198,"text":"70220198 - 2021 - West-wide drought analysis","interactions":[],"lastModifiedDate":"2021-04-27T12:40:24.30458","indexId":"70220198","displayToPublicDate":"2021-04-23T07:33:53","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"chapter":"4","title":"West-wide drought analysis","docAbstract":"This chapter describes analyses of the variability and characteristics of drought for historical and future projected climate conditions across the Western United States. The analyses are performed using the Palmer Drought Severity Index (PDSI; Palmer, 1965) to define drought events. The advantage of using PDSI to define droughts is that it focuses explicitly on droughts driven by hydroclimate variability. The PDSI does not include anthropogenic effects, such as water management, including the effects of reservoirs and diversions. Thus, PDSI is well-suited to examine natural climate-driven drought characteristics (i.e., drought duration, severity, and frequency).\nThe next section (Section 4.1) describes the PDSI dataset and how it is used in the analyses. Section 4.2 describes the methodologies used to identify and analyze drought events. Section 4.3 presents results, along with considerations regarding the interpretations of the results. Summary and next steps emerging from the analyses are described in Section 4.4. Lastly, a listing of key findings is given in Section 4.5.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"West-Wide Climate and Hydrology Assessment, Technical Memorandum No. ENV-2021-001","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Bureau of Reclamation","collaboration":"U.S. Bureau of Reclamation","usgsCitation":"Gangopadhyay, S., McCabe, G.J., Pruitt, T., and House, B., 2021, West-wide drought analysis, 54 p.","productDescription":"54 p.","startPage":"129","endPage":"182","ipdsId":"IP-125638","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":385318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385309,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/climate/secure/2021secure.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gangopadhyay, Subhrendu","contributorId":257611,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":814724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":814725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom","contributorId":257612,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":814726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, Brandon","contributorId":257613,"corporation":false,"usgs":false,"family":"House","given":"Brandon","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":814727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230170,"text":"70230170 - 2021 - Radionuclides in surface water and groundwater","interactions":[],"lastModifiedDate":"2022-04-04T11:53:49.612176","indexId":"70230170","displayToPublicDate":"2021-04-23T06:52:23","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Radionuclides in surface water and groundwater","docAbstract":"Unique among all the contaminants that adversely affect surface- and groundwater quality, radioactive compounds pose a double threat from toxicity and ionizing radiation. The high energy potential of many of these materials makes them both useful and hazardous. The unique properties of radioactive materials make them invaluable for medical and energy applications. However, mining, production, use, and disposal of compounds and their byproducts provide potential pathways for their release into the environment, posing a risk to both humans and ecosystems. This chapter presents an overview of the sources and uses of radioactive compounds in the United States, biogeochemical processes that control mobility in the environment, examples of radionuclide contamination, and an overview of remediation strategies.
We assessed the effects of hydrology on growth and hatching success of age‐0 Channel Catfish Ictalurus punctatus in regulated and unregulated reaches of the Tallapoosa River basin, Alabama. Age‐0 Channel Catfish (N = 91) were collected from sites in both the Coastal Plain and Piedmont regions in fall 2003 and fall 2005. Lapillus otoliths were used to estimate the daily ages of age‐0 Channel Catfish, for which hatch dates were back‐calculated. We performed growth analysis to determine growth histories of each fish at 20‐d increments from hatch. Across the 2 years of sampling, Channel Catfish hatches were documented from June 7 to September 15. Ages and growth rates of age‐0 Channel Catfish ranged from 20 to 126 d and 0.60 to 1.5 mm/d, respectively. In general, growth was highest among age‐0 Channel Catfish from unregulated sites in the lower Coastal Plain, lowest among fish from unregulated sites in the Piedmont, and intermediate from regulated sites in the Piedmont. Successful hatching typically occurred during periods when mean discharges were in the upper two quartiles of flows for each site but not during exceptionally high peaks in flow. Physiographic province, the frequency of high pulses, and the number of flow reversals were the most important factors influencing the growth of recently hatched Channel Catfish. Results suggest that a low to moderate frequency of high pulses (25–150 pulses per 20‐d increment) and a moderate number of flow reversals (~100–175 reversals per 20‐d increment) enhances early growth of Channel Catfish in the Tallapoosa River system. Managing flow, when possible, to minimize large releases of water that result in exceptionally high pulses and providing minimal hydropeaking may improve hatching success during the Channel Catfish spawning season.
","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.10600","usgsCitation":"Erickson, K., Sakaris, P., Conner, H., and Irwin, E.R., 2021, Hydrologic effects on growth and hatching success of age-0 Channel Catfish in the Tallapoosa River basin: Implications for management in regulated systems: North American Journal of Fisheries Management, v. 41, no. S1, p. S118-S132, https://doi.org/10.1002/nafm.10600.","productDescription":"15 p.","startPage":"S118","endPage":"S132","ipdsId":"IP-117156","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Tallapoosa River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.13103826076762,\n 34.346950443170655\n ],\n [\n -86.13103826076762,\n 33.770251015559566\n ],\n [\n -85.39701150663335,\n 33.770251015559566\n ],\n [\n -85.39701150663335,\n 34.346950443170655\n ],\n [\n -86.13103826076762,\n 34.346950443170655\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Keith A.","contributorId":353730,"corporation":false,"usgs":false,"family":"Erickson","given":"Keith A.","affiliations":[{"id":84494,"text":"Georgia Gwinnett College","active":true,"usgs":false}],"preferred":false,"id":934427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sakaris, Peter C.","contributorId":353731,"corporation":false,"usgs":false,"family":"Sakaris","given":"Peter C.","affiliations":[{"id":84494,"text":"Georgia Gwinnett College","active":true,"usgs":false}],"preferred":false,"id":934428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, Hannah","contributorId":353732,"corporation":false,"usgs":false,"family":"Conner","given":"Hannah","affiliations":[{"id":84494,"text":"Georgia Gwinnett College","active":true,"usgs":false}],"preferred":false,"id":934429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":934430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222089,"text":"70222089 - 2021 - Quantifying diagenesis, contributing factors, and resulting isotopic bias in benthic foraminifera using the Foraminiferal Preservation Index: Implications for geochemical proxy records","interactions":[],"lastModifiedDate":"2021-07-19T23:24:09.565365","indexId":"70222089","displayToPublicDate":"2021-04-22T18:19:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying diagenesis, contributing factors, and resulting isotopic bias in benthic foraminifera using the Foraminiferal Preservation Index: Implications for geochemical proxy records","docAbstract":"Geochemical records generated from the calcite tests of benthic foraminifera, especially those of the genera Cibicidoides and Uvigerina, provide the basis for proxy reconstructions of past climate. However, the extent to which benthic foraminifera are affected by postdepositional alteration is poorly constrained. Furthermore, how diagenesis may alter the geochemical composition of benthic foraminiferal tests, and thereby biasing a variety of proxy-based climate records, is also poorly constrained. We present the Foraminiferal Preservation Index (FPI) as a new metric to quantify preservation quality based on objective, well-defined criteria. The FPI is used to identify and quantify trends in diagenesis temporally, from late Pliocene to modern coretop samples (3.3–0 Ma), as well as spatially in the deep ocean. The FPI identifies the chemical composition of deep-ocean water masses to be the primary driver of diagenesis through time, while also serving as a supplementary method of identifying periods of changing water mass influence at a given site. Additionally, we present stable isotope data (δ18O, δ13C) generated from individual Cibicidoides specimens of various preservation quality that demonstrate the likelihood of significant biasing in a variety of geochemical proxy records, especially those used to reconstruct past changes in ice volume and sea level. These single-test data further demonstrate that when incorporating carefully selected tests of only the highest preservation quality, robust paleorecords can be generated.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020PA004110","usgsCitation":"Poirier, R., Gaetano, M.Q., Acevedo, K., Morgan F. Schaller, M.F., Raymo, M.E., and Kozdon, R., 2021, Quantifying diagenesis, contributing factors, and resulting isotopic bias in benthic foraminifera using the Foraminiferal Preservation Index: Implications for geochemical proxy records: Paleoceanography and Paleoclimatology, v. 36, no. 5, e2020PA004110, 32 p., https://doi.org/10.1029/2020PA004110.","productDescription":"e2020PA004110, 32 p.","ipdsId":"IP-121944","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":387257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Poirier, Robert 0000-0001-5380-4545","orcid":"https://orcid.org/0000-0001-5380-4545","contributorId":261201,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":819465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaetano, Madison Q.","contributorId":261202,"corporation":false,"usgs":false,"family":"Gaetano","given":"Madison","email":"","middleInitial":"Q.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":819466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Acevedo, Kimberly","contributorId":261203,"corporation":false,"usgs":false,"family":"Acevedo","given":"Kimberly","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":819467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan F. Schaller, Morgan F. 0000-0003-2742-2126","orcid":"https://orcid.org/0000-0003-2742-2126","contributorId":261204,"corporation":false,"usgs":false,"family":"Morgan F. 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We examined the microbial ecology of shallow reefs within the Federated States of Micronesia. We surveyed 20 reefs surrounding 7 islands and atolls (Yap, Woleai, Olimarao, Kosrae, Kapingamarangi, Nukuoro, and Pohnpei), spanning 875053 km2. On the reefs, we found consistently higher coral coverage (mean ± SD = 36.9 ± 22.2%; max 77%) compared to macroalgae coverage (15.2 ± 15.5%; max 58%), and low abundances of fish. Reef waters had low inorganic nutrient concentrations and were dominated by Synechococcus, Prochlorococcus, and SAR11 bacteria. The richness of bacterial and archaeal communities was significantly related to interactions between island/atoll and depth. High coral coverage on reefs was linked to higher relative abundances of Flavobacteriaceae, Leisingera, Owenweeksia, Vibrio, and the OM27 clade, as well as other heterotrophic bacterial groups, consistent with communities residing in waters near corals and within coral mucus. Microbial community structure at reef depth was significantly correlated with geographic distance, suggesting that island biogeography influences reef microbial communities. Reefs at Kosrae Island, which hosted the highest coral abundance and diversity, were unique compared to other locations; seawater from Kosrae reefs had the lowest organic carbon (59.8-67.9 µM), highest organic nitrogen (4.5-5.3 µM), and harbored consistent microbial communities (>85% similar), which were dominated by heterotrophic cells. This study suggests that the reef-water microbial ecology on Micronesian reefs is influenced by the density and diversity of corals as well as other biogeographical features.
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Monitoring Project, North Carolina—Summary of Monitoring Activities, Quality Assurance, and Data, October 2017–September 2019","title":"Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2017–September 2019","docAbstract":"Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, from October 2017 through September 2018 (water year 2018) and from October 2018 through September 2019 (water year 2019). Major findings for this period include the following:
Director, South Atlantic Water Science Center
U.S. Geological Survey
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Norcross, GA 30093