A reconnaissance team documented the geotechnical and geological aspects in the epicentral region of the Mw (moment magnitude) 5.8 Mineral, Virginia (USA), earthquake of 23 August 2011. Tectonically and seismically induced ground deformations, evidence of liquefaction, rock slides, river bank slumps, ground subsidence, performance of earthen dams, damage to public infrastructure and lifelines, and other effects of the earthquake were documented. This moderate earthquake provided the rare opportunity to collect data to help assess current geoengineering practices in the region, as well as to assess seismic performance of the aging infrastructure in the region. Ground failures included two marginal liquefaction sites, a river bank slump, four minor rockfalls, and a ~4-m-wide, ~12-m-long, ~0.3-m-deep subsidence on a residential property. Damage to lifelines included subsidence of the approaches for a bridge and a water main break to a heavily corroded, 5-cm-diameter valve in Mineral, Virginia. Observed damage to dams, landfills, and public-use properties included a small, shallow slide in the temporary (“working”) clay cap of the county landfill, damage to two earthen dams (one in the epicentral region and one further away near Bedford, Virginia), and substantial structural damage to two public school buildings.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2509(09)","usgsCitation":"Green, R.A., Lasley, S., Carter, M.W., Munsey, J.W., Maurer, B.W., and Tuttle, M.P., 2015, Geotechnical aspects in the epicentral region of the 2011, Mw5.8 Mineral, Virginia earthquake: GSA Special Papers, v. 509, p. 151-172, https://doi.org/10.1130/2014.2509(09).","productDescription":"22 p.","startPage":"151","endPage":"172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054097","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Mineral","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.495849609375,\n 36.10237644873644\n ],\n [\n -84.495849609375,\n 39.918162846609455\n ],\n [\n -74.77294921875,\n 39.918162846609455\n ],\n [\n -74.77294921875,\n 36.10237644873644\n ],\n [\n -84.495849609375,\n 36.10237644873644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"509","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f82cafe4b02419550d99de","contributors":{"authors":[{"text":"Green, Russell A.","contributorId":94708,"corporation":false,"usgs":false,"family":"Green","given":"Russell","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":540989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lasley, Samuel","contributorId":139385,"corporation":false,"usgs":false,"family":"Lasley","given":"Samuel","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":540990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":540988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munsey, Jeffrey W.","contributorId":139386,"corporation":false,"usgs":false,"family":"Munsey","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[{"id":12759,"text":"TVA","active":true,"usgs":false}],"preferred":false,"id":540991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maurer, Brett W.","contributorId":139387,"corporation":false,"usgs":false,"family":"Maurer","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":540992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuttle, Martitia P.","contributorId":139388,"corporation":false,"usgs":false,"family":"Tuttle","given":"Martitia","email":"","middleInitial":"P.","affiliations":[{"id":12760,"text":"Tuttle and Associates","active":true,"usgs":false}],"preferred":false,"id":540993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70141915,"text":"ofr20151034 - 2015 - Fire history of Everglades National Park and Big Cypress National Preserve, southern Florida","interactions":[],"lastModifiedDate":"2025-04-10T16:38:02.028941","indexId":"ofr20151034","displayToPublicDate":"2015-03-04T13:30:00","publicationYear":"2015","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":"2015-1034","title":"Fire history of Everglades National Park and Big Cypress National Preserve, southern Florida","docAbstract":"Fire occurs naturally in the environment on most continents, including Africa (Ryan and Williams, 2011), Asia (Kauhanen, 2008), Australia (Kutt and Woinarski, 2007), Europe (Eshel and others, 2000), South America (Fidelis and others, 2010), and North America (Van Auken, 2000). Antarctica appears to be the only continent that has no reported natural fires, although fire is common in grasslands of Patagonia and on islands in the Subantarctic region (Gonzalez and others, 2005; McGlone and others, 2007).
\nNatural fires also have occurred over thousands of years, and the frequencies of these natural fires have changed (Power and others, 2008). This has resulted in altered ecosystems at landscape scales. Recent evidence suggests that the treeless desert pastures of Tibet once were forests and woodlands, and charcoal deposits indicate that fire was more frequent in the past (Miehe and others, 2006). Human cultural development has been influenced by changes in natural fire frequencies. Zong and others (2007) reported that human suppression of fires in coastal areas of China allowed the development of rice paddy cultivation and, thus, increased the size of human populations.
\nIn addition to its almost world-wide occurrence, fire plays a role in a wide variety of ecosystem types. Grassland, savanna, steppe, woodland, forest, and wetland ecosystems all have fire as part of their natural ecology (Veblen and Lorenz, 1988; Chokkalingam and others, 2007; Miller and others, 2009, Keith and others, 2010; Staver and others, 2011). Fires affect these ecosystems in various ways, the most obvious of which is the direct effect on plant biomass (for example, Van Wilgen, 1982; Mack and others, 2008). However, fire has many other effects on ecosystems. Plant species richness, diversity, and functional types can change in response to fire (Peterson and Reich, 2008). All properties of the surface soils (such as bulk density, particle size distribution, pH, and organic carbon and nitrogen content) can be altered by the frequency and severity of fire (Boerner and others, 2009). Faunal communities will respond to fire, with some species increasing (Fuhlendorf and others, 2006) and other species decreasing, after the fire (Vasconcelos and others, 2009).The position of the ecotone between differing ecosystems also is influenced by fire occurrence (Heisler and others, 2003; Briggs and others, 2005; Smith and others, 2013).
\nFire has been used as a management tool in various ecosystems around the world. Prairies, grasslands, and savannas are fire-maintained ecosystems where fire is used to deter invasion by shrubs and trees (Grant and others, 2009; Scheintaub and others, 2009). Similarly, fire plays an important role in woodlands and forests by influencing species composition and succession such, as the use of fire in coniferous forests to prevent encroachment by hardwoods (Phillippe and others, 2011). Fire also has been used to manage wetland ecosystems for more than 50 years (Lynch, 1941; Frost, 1995). Uses have included returning marshes to early successional states, increasing forage for wildlife (Lynch, 1941). In all fire-influenced ecosystems, prescribed burns are routinely used to reduce fuel loads, reducing the possibility of catastrophic fires.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151034","collaboration":"Prepared in cooperation with Everglades National Park and Big Cypress National Preserve","usgsCitation":"Smith, T.J., III, Foster, A.M., and Jones, J.W., 2015, Fire history of Everglades National Park and Big Cypress National Preserve, southern Florida: U.S. Geological Survey Open-File Report 2015-1034, 86 p., https://dx.doi.org/10.3133/ofr20151034.","productDescription":"v, 86 p.","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049028","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":298290,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1034/"},{"id":298292,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1034/pdf/ofr2015-1034.pdf","text":"Report","size":"24.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298293,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr20151034.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve, Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.53778076171874,\n 24.851549944184754\n ],\n [\n -81.53778076171874,\n 26.26386228011112\n ],\n [\n -80.386962890625,\n 26.26386228011112\n ],\n [\n -80.386962890625,\n 24.851549944184754\n ],\n [\n -81.53778076171874,\n 24.851549944184754\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
In glacierized fjords, the ice-ocean boundary is a physically and biologically dynamic environment that is sensitive to both glacier flow and ocean circulation. Ocean ambient noise offers insight into processes and change at the ice-ocean boundary. Here we characterize fjord ambient noise and show that the average noise levels are louder than nearly all measured natural oceanic environments (significantly louder than sea ice and non-glacierized fjords). Icy Bay, Alaska has an annual average sound pressure level of 120 dB (re 1 μPa) with a broad peak between 1000 and 3000 Hz. Bubble formation in the water column as glacier ice melts is the noise source, with variability driven by fjord circulation patterns. Measurements from two additional fjords, in Alaska and Antarctica, support that this unusually loud ambient noise in Icy Bay is representative of glacierized fjords. These high noise levels likely alter the behavior of marine mammals.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014GL062950","usgsCitation":"Pettit, E.C., Lee, K.M., Brann, J.P., Nystuen, J.A., Wilson, P.S., and O’Neel, S., 2015, Unusually loud ambient noise in tidewater glacier fjords: a signal of ice melt: Geophysical Research Letters, v. 42, no. 7, p. 2309-2316, https://doi.org/10.1002/2014GL062950.","productDescription":"8 p.","startPage":"2309","endPage":"2316","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062408","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl062950","text":"Publisher Index Page"},{"id":298283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Icy Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.3947296142578,\n 60.07922860404502\n ],\n [\n -141.3947296142578,\n 60.107643864181306\n ],\n [\n -141.33773803710938,\n 60.107643864181306\n ],\n [\n -141.33773803710938,\n 60.07922860404502\n ],\n [\n -141.3947296142578,\n 60.07922860404502\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f82cb1e4b02419550d99e4","chorus":{"doi":"10.1002/2014gl062950","url":"http://dx.doi.org/10.1002/2014gl062950","publisher":"Wiley-Blackwell","authors":"Pettit Erin Christine, Lee Kevin Michael, Brann Joel Palmer, Nystuen Jeffrey Aaron, Wilson Preston Scot, O'Neel Shad","journalName":"Geophysical Research Letters","publicationDate":"4/1/2015","auditedOn":"3/15/2016"},"contributors":{"authors":[{"text":"Pettit, Erin C.","contributorId":139557,"corporation":false,"usgs":false,"family":"Pettit","given":"Erin","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":541835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kevin M.","contributorId":139558,"corporation":false,"usgs":false,"family":"Lee","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brann, Joel P.","contributorId":139559,"corporation":false,"usgs":false,"family":"Brann","given":"Joel","email":"","middleInitial":"P.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nystuen, Jeffrey A.","contributorId":139560,"corporation":false,"usgs":false,"family":"Nystuen","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Preston S.","contributorId":139561,"corporation":false,"usgs":false,"family":"Wilson","given":"Preston","email":"","middleInitial":"S.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":541840,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70142328,"text":"70142328 - 2015 - Stochastic reservoir simulation for the modeling of uncertainty in coal seam degasification","interactions":[],"lastModifiedDate":"2015-03-04T10:53:51","indexId":"70142328","displayToPublicDate":"2015-03-04T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic reservoir simulation for the modeling of uncertainty in coal seam degasification","docAbstract":"Coal seam degasification improves coal mine safety by reducing the gas content of coal seams and also by generating added value as an energy source. Coal seam reservoir simulation is one of the most effective ways to help with these two main objectives. As in all modeling and simulation studies, how the reservoir is defined and whether observed productions can be predicted are important considerations.
\nUsing geostatistical realizations as spatial maps of different coal reservoir properties is a more realistic approach than assuming uniform properties across the field. In fact, this approach can help with simultaneous history matching of multiple wellbores to enhance the confidence in spatial models of different coal properties that are pertinent to degasification. The problem that still remains is the uncertainty in geostatistical simulations originating from the partial sampling of the seam that does not properly reflect the stochastic nature of coal property realizations. Stochastic simulations and using individual realizations, rather than E-type, make evaluation of uncertainty possible.
\nThis work is an advancement over Karacan et al. (2014) in the sense of assessing uncertainty that stems from geostatistical maps. In this work, we batched 100 individual realizations of 10 coal properties that were randomly generated to create 100 bundles and used them in 100 separate coal seam reservoir simulations for simultaneous history matching. We then evaluated the history matching errors for each bundle and defined the single set of realizations that would minimize the error for all wells. We further compared the errors with those of E-type and the average realization of the best matches. Unlike in Karacan et al. (2014), which used E-type maps and average of quantile maps, using these 100 bundles created 100 different history match results from separate simulations, and distributions of results for in-place gas quantity, for example, from which uncertainty in coal property realizations could be evaluated.
\nThe study helped to determine the realization bundle that consisted of the spatial maps of coal properties, which resulted in minimum error. In addition, it was shown that both E-type and the average of realizations that gave the best match for invidual approximated the same properties resonably. Moreover, the determined realization bundle showed that the study field initially had 151.5 million m3 (cubic meter) of gas and 1.04 million m3 water in the coal, corresponding to Q90 of the entire range of probability for gas and close to Q75 for water. In 2013, in-place fluid amounts decreased to 138.9 million m3 and 0.997 million m3 for gas and water, respectively.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2015.01.046","usgsCitation":"Karacan, C., and Olea, R., 2015, Stochastic reservoir simulation for the modeling of uncertainty in coal seam degasification: Fuel, v. 148, p. 87-97, https://doi.org/10.1016/j.fuel.2015.01.046.","productDescription":"11 p.","startPage":"87","endPage":"97","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062278","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472223,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.fuel.2015.01.046","text":"External Repository"},{"id":298276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.54592895507812,\n 39.00851330385611\n ],\n [\n -87.54592895507812,\n 39.089034905217474\n ],\n [\n -87.41134643554688,\n 39.089034905217474\n ],\n [\n -87.41134643554688,\n 39.00851330385611\n ],\n [\n -87.54592895507812,\n 39.00851330385611\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f82cb1e4b02419550d99e2","contributors":{"authors":[{"text":"Karacan, C. Özgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":139554,"corporation":false,"usgs":true,"family":"Karacan","given":"C. Özgen","affiliations":[{"id":12800,"text":"National Institute for Occupational Safety and Health (NIOSH)","active":true,"usgs":false}],"preferred":false,"id":541822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":1401,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","email":"rolea@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":541821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70136492,"text":"sir20145235 - 2015 - Simulation of groundwater flow and streamflow depletion in the Branch Brook, Merriland River, and parts of the Mousam River watersheds in southern Maine","interactions":[],"lastModifiedDate":"2015-03-04T10:40:00","indexId":"sir20145235","displayToPublicDate":"2015-03-04T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5235","title":"Simulation of groundwater flow and streamflow depletion in the Branch Brook, Merriland River, and parts of the Mousam River watersheds in southern Maine","docAbstract":"Watersheds of three streams, the Mousam River, Branch Brook, and Merriland River in southeastern Maine were investigated from 2010 through 2013 under a cooperative project between the U.S. Geological Survey and the Maine Geological Survey. The Branch Brook watershed previously had been deemed “at risk” by the Maine Geological Survey because of the proportionally large water withdrawals compared to estimates of the in-stream flow requirements for habitat protection. The primary groundwater withdrawals in the study area include a water-supply well in the headwaters of the system and three water-supply wells in the coastal plain near the downstream end of the system. A steady-state groundwater flow model was used to understand the movement of water within the system, to evaluate the water budget and the effect of groundwater withdrawals on streamflows, and to understand streamflow depletion in relation to the State of Maine’s requirements to maintain in-stream flows for habitat protection.
\nDelineation of the simulated groundwater divides compared to the surface-water divides suggests that the groundwater divides in the headwater areas do not exactly correspond to the surface-water divides. Under both pumping and non-pumping conditions, groundwater flows from the headwaters of the Branch Brook watershed into the Mousam River watershed. Pumping in the Mousam River watershed captures a small amount of groundwater from the Branch Brook basin.
\nThe cumulative effect of groundwater withdrawals on base flows in two rivers in the study area (Branch Brook and the Merriland River) was evaluated using the groundwater flow model. Streamflow depletion in the headwaters of Branch Brook was 0.12 cubic feet per second (ft3/s) for the steady-state simulation, or about 10 percent of the average base flow at that location. Downstream on Branch Brook, the total streamflow depletion from all the wells was 0.59 ft3/s, or 3 percent of the average base flow at that location. In the Merriland River downstream from the Merriland River well, the total amount of streamflow depletion was 0.6 ft3/s, or about 7 percent of the average base flow.
\nThe groundwater model was used to evaluate several different scenarios that could affect streamflow and groundwater discharging to the rivers and streams in the study area. The scenarios were (1) no pumping from the water-supply wells; (2) current pumping from the water-supply wells, but simulated drought conditions (25 percent reduction in recharge); (3) current recharge, but with increased pumping from the large water-supply wells; and (4) drought conditions and increased pumping combined.
\nSimulations of increased pumping in the water-supply wells resulted in streamflow depletion in the headwaters of Branch Brook increasing to 16 percent of the headwater base flow. Simulated increases in the pumping in the coastal plain wells increased the amount of streamflow depletion to 6 percent of the flow in Branch Brook and to 8 percent of the flow in the Merriland River. The additional stress of a drought imposed on the model (25 percent less recharge) had a substantial impact on streamflows, as expected. If the simulated drought occurred simultaneously with an increase in pumping, the base flows would be reduced 48 percent in the headwaters of Branch Brook, compared to the no-pumping scenario. Downstream in Branch Brook, the total reduction in flow would be 29 percent of the simulated base flows in the no-pumping scenario, and in the Merriland River, the reduction would be 33 percent of the base flows in the no-pumping scenario.
\nThe study evaluated two different methods of calculating in-stream flow requirements for Branch Brook and the Merriland River—a set of statewide equations used to calculate monthly median flows and the MOVE.1 record-extension technique used on site-specific streamflow measurements. The August median in-stream flow requirement in the Merriland River was calculated as 7.18 ft3/s using the statewide equations but was 3.07 ft3/s using the MOVE.1 analysis. In Branch Brook, the August median in-stream flow requirements were calculated as 20.3 ft3/s using the statewide equations and 11.8 ft3/s using the MOVE.1 analysis. In each case, using site-specific data yields an estimate of in-stream flow that is much lower than an estimate the statewide equations provide.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145235","collaboration":"Prepared in cooperation with the Maine Geological Survey","usgsCitation":"Nielsen, M.G., and Locke, D.B., 2015, Simulation of groundwater flow and streamflow depletion in the Branch Brook, Merriland River, and parts of the Mousam River watersheds in southern Maine: U.S. Geological Survey Scientific Investigations Report 2014-5235, x, 78 p., https://doi.org/10.3133/sir20145235.","productDescription":"x, 78 p.","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057435","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":298274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145235.jpg"},{"id":298272,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5235/"},{"id":298273,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5235/pdf/sir2014-5235.pdf","text":"Report","size":"9.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1988","country":"United States","state":"Maine","otherGeospatial":"Branch Brook, Merriland River, Mousam River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.7571029663086,\n 43.303944586803205\n ],\n [\n -70.7571029663086,\n 43.4576541092803\n ],\n [\n -70.49789428710938,\n 43.4576541092803\n ],\n [\n -70.49789428710938,\n 43.303944586803205\n ],\n [\n -70.7571029663086,\n 43.303944586803205\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f82cb0e4b02419550d99e0","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Locke, Daniel B.","contributorId":131153,"corporation":false,"usgs":false,"family":"Locke","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":537486,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142086,"text":"ofr20151037 - 2015 - Validation of eDNA markers for New Zealand mudsnail surveillance and initial eDNA monitoring at Mississippi River Basin sites","interactions":[],"lastModifiedDate":"2015-03-04T08:41:16","indexId":"ofr20151037","displayToPublicDate":"2015-03-03T17:15:00","publicationYear":"2015","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":"2015-1037","title":"Validation of eDNA markers for New Zealand mudsnail surveillance and initial eDNA monitoring at Mississippi River Basin sites","docAbstract":"The performance of newly developed New Zealand mudsnail (Potamopyrgus antipodarum; NZMS) genetic markers for environmental (eDNA) analysis of water were compared across two laboratories. The genetic markers were tested in four quantitative polymerase chain reaction assays targeting two regions of the NZMS mitochondrial genome, specifically the cytochrome c oxidase subunit 1 (coi) and cytochrome b (cytb) genes. In a blind study, analysts tested each sample eight times with each assay. There were 10 expected-negative samples from the Black River in La Crosse, Wisconsin, 10 expected-positive samples from the Black Earth Creek in Black Earth, Wisconsin, and 10 known-positive samples from the Black River spiked with NZMS DNA. Previously extracted samples, kept at the Upper Midwest Environmental Sciences Center, were pooled by sample location and then equal quantities were distributed between the Upper Midwest Environmental Sciences Center and the Molecular Conservation Genetics Laboratory at the University of Wisconsin-Stevens Point for analysis. The assays tested were (1) the assay targeting cytb with a minor groove binder probe described by Goldberg and others (2013), (2) the cytb assay with a modified double-quenched probe, (3) an assay targeting coi with a double-quenched probe, and (4) a duplex reaction combining the modified cytb assay and the coi assay. Samples were considered positive for the presence of NZMS DNA when quantitative polymerase chain reaction amplification and probe signal was higher than the normalized threshold value above baseline fluorescence. For the duplex assay, samples were considered positive only when both probe signals were higher than the normalized threshold value above baseline fluorescence. Positive results were then confirmed by sequencing the products.
\nAll four assays detected the DNA of NZMS in all expected-positive and known-positive samples in both labs. The modified cytb assay, the coi assay, and the duplex assay all failed to detect the DNA of NZMS in all expected-negative samples in both labs. The cytb assay, as described by Goldberg and others (2013), failed to detect the DNA of NZMS in all expected-negative samples for the Molecular Conservation Genetics Laboratory, but some reactions resulted in positive detection in late cycles for 9 of the 10 expected-negative samples at the Upper Midwest Environmental Sciences Center. Amplicons for expected-negative samples with positive reactions were sent for sequencing, and none were confirmed as NZMS. Six amplicons failed to give readable sequences, and three gave sequences without similarity to any known sequence in GenBank. Amplicons from each assay for one representative positive sample were sequenced and identified as NZMS with greater than 99 percent identity.
\nThe duplex assay was chosen as the most efficient assay and was used at the Upper Midwest Environmental Sciences Center to analyze triplicate samples from 29 streams in Wisconsin, 8 streams in Illinois, and 8 streams in Iowa. In order to verify results, additional triplicate samples were collected from two of the streams in Iowa and two of the streams in Wisconsin for analysis at the Molecular Conservation Genetics Laboratory. All samples at all sites were negative for NZMS DNA.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151037","collaboration":"Prepared in cooperation with Wisconsin Cooperative Fishery Research Unit, Molecular Conservation Genetics Laboratory, College of Natural Resources, University of Wisconsin-Stevens Point","usgsCitation":"Merkes, C.M., Turnquist, K.N., Rees, C.B., and Amberg, J., 2015, Validation of eDNA markers for New Zealand mudsnail surveillance and initial eDNA monitoring at Mississippi River Basin sites: U.S. Geological Survey Open-File Report 2015-1037, Report: vi, 9 p.; Tables 4-7, https://doi.org/10.3133/ofr20151037.","productDescription":"Report: vi, 9 p.; Tables 4-7","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063296","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":298262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151037.jpg"},{"id":298251,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1037/"},{"id":298259,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1037/tables/nzms_table5.xlsx","text":"Table 5","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Molecular Conservation Genetics Laboratory assay validation results."},{"id":298260,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1037/tables/nzms_table6.xlsx","text":"Table 6","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Sequencing results."},{"id":298261,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1037/tables/nzms_table7.xlsx","text":"Table 7","size":"34 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Monitoring results."},{"id":298258,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1037/tables/nzms_table4.xlsx","text":"Table 4","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Upper Midwest Environmental Sciences Center assay validation results."},{"id":298257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1037/pdf/ofr2015-1037.pdf","text":"Report","size":"2631 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1037 Report"}],"country":"United States","state":"Illinois, Iowa, Wisconsin","otherGeospatial":"Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.724609375,\n 41.27780646738183\n ],\n [\n -92.724609375,\n 46.164614496897094\n ],\n [\n -88.26416015625,\n 46.164614496897094\n ],\n [\n -88.26416015625,\n 41.27780646738183\n ],\n [\n -92.724609375,\n 41.27780646738183\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f6db2ee4b02419550d3096","contributors":{"authors":[{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":541782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turnquist, Keith N.","contributorId":139517,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":12787,"text":"Molecular Conservation Genetics Laboratory, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":541783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":541784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":139518,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":541785,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046904,"text":"70046904 - 2015 - The comparative limnology of Lakes Nyos and Monoun, Cameroon","interactions":[],"lastModifiedDate":"2016-01-20T15:53:55","indexId":"70046904","displayToPublicDate":"2015-03-03T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The comparative limnology of Lakes Nyos and Monoun, Cameroon","docAbstract":"Lakes Nyos and Monoun are known for the dangerous accumulation of CO2 dissolved in stagnant bottom water, but the shallow waters that conceal this hazard are dilute and undergo seasonal changes similar to other deep crater lakes in the tropics. Here we discuss these changes with reference to climatic and water-column data collected at both lakes during the years following the gas release disasters in the mid-1980s. The small annual range in mean daily air temperatures leads to an equally small annual range of surface water temperatures (ΔT ~6–7 °C), reducing deep convective mixing of the water column. Weak mixing aids the establishment of meromixis, a requisite condition for the gradual buildup of CO2 in bottom waters and perhaps the unusual condition that most explains the rarity of such lakes. Within the mixolimnion, a seasonal thermocline forms each spring and shallow diel thermoclines may be sufficiently strong to isolate surface water and allow primary production to reduce PCO2 below 300 μatm, inducing a net influx of CO2 from the atmosphere. Surface water O2 and pH typically reach maxima at this time, with occasional O2 oversaturation. Mixing to the chemocline occurs in both lakes during the winter dry season, primarily due to low humidity and cool night time air temperature. An additional period of variable mixing, occasionally reaching the chemocline in Lake Monoun, occurs during the summer monsoon season in response to increased frequency of major storms. The mixolimnion encompassed the upper ~40–50 m of Lake Nyos and upper ~15–20 m of Lake Monoun prior to the installation of degassing pipes in 2001 and 2003, respectively. Degassing caused chemoclines to deepen rapidly. Piping of anoxic, high-TDS bottom water to the lake surface has had a complex effect on the mixolimnion. Algal growth stimulated by increased nutrients (N and P) initially stimulated photosynthesis and raised surface water O2 in Lake Nyos, but O2 removal through oxidation of iron was also enhanced and appeared to dominate at Lake Monoun. Depth-integrated O2 contents decreased in both lakes as did water transparency. No dangerous instabilities in water-column structure were detected over the course of degassing. While Nyos-type lakes are extremely rare, other crater lakes can pose dangers from gas releases and monitoring is warranted.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanic Lakes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/978-3-642-36833-2_18","usgsCitation":"Kling, G., Evans, W.C., and Tanyileke, G., 2015, The comparative limnology of Lakes Nyos and Monoun, Cameroon, chap. of Volcanic Lakes, p. 401-425, https://doi.org/10.1007/978-3-642-36833-2_18.","startPage":"401","endPage":"425","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046437","costCenters":[{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":314549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 10.296249389648438,\n 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Sacramento-San Joaquin Delta, California","docAbstract":"The Sacramento-San Joaquin Delta, California, (Delta) has been significantly altered since the mid-nineteenth century. Many existing channels have been widened or deepened and new channels have been created for navigation and water conveyance. Tidal marshes have been drained and leveed to form islands that have subsided, some of which have permanently flooded. To understand how these alterations have affected hydrodynamics and sediment transport in the Delta, we analysed measurements from 27 sites, along with other spatial data, and previous literature. Results show that: (a) the permanent flooding of islands results in an increase in the shear velocity of channels downstream, (b) artificial widening and deepening of channels generally results in a decrease in shear velocity except when the channel is also located downstream of a flooded island, (c) 1.5 Mt/year of sediment was deposited in the Delta (1997–2010), and of this deposited sediment, 0.31 Mt/year (21%) was removed through dredging.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the International Association of Hydrological Sciences","conferenceTitle":"International Association of Hydrological Sciences","conferenceDate":"11–14 December 2014","conferenceLocation":"New Orleans, Louisiana","language":"English","publisher":"International Association of Hydrological Sciences (IAHS)","doi":"10.5194/piahs-367-399-2015","collaboration":"BOR","usgsCitation":"Marineau, M.D., and Wright, S., 2015, Effects of human alterations on the hydrodynamics and sediment transport in the Sacramento-San Joaquin Delta, California, in Proceedings of the International Association of Hydrological Sciences, v. 367, New Orleans, Louisiana, 11–14 December 2014, p. 399-406, https://doi.org/10.5194/piahs-367-399-2015.","productDescription":"8 p.","startPage":"399","endPage":"406","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054154","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-367-399-2015","text":"Publisher Index Page"},{"id":312649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.76696777343749,\n 38.49444388772503\n ],\n [\n -121.47857666015625,\n 38.49444388772503\n ],\n [\n -121.30828857421875,\n 37.931200459333716\n ],\n [\n -121.4208984375,\n 37.80761398306056\n ],\n [\n -121.53350830078124,\n 37.77722770873696\n ],\n [\n -121.65435791015625,\n 37.88569271818349\n ],\n [\n -121.69830322265625,\n 38.004819966413194\n ],\n [\n -121.83837890625,\n 38.013476231041935\n ],\n [\n -121.84112548828125,\n 38.067554724225275\n ],\n [\n -121.717529296875,\n 38.151837403006766\n ],\n [\n -121.78619384765624,\n 38.39764411353181\n ],\n [\n -121.88507080078125,\n 38.436379603\n ],\n [\n -121.79992675781249,\n 38.49444388772503\n ],\n [\n -121.76696777343749,\n 38.49444388772503\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"367","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-03","publicationStatus":"PW","scienceBaseUri":"567930c6e4b0da412f4fb553","contributors":{"authors":[{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142095,"text":"ds909 - 2015 - Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13","interactions":[],"lastModifiedDate":"2015-03-03T11:22:33","indexId":"ds909","displayToPublicDate":"2015-03-02T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"909","title":"Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13","docAbstract":"The U.S. Geological Survey cooperated with the U.S. Army Corps of Engineers (USACE), Omaha District, to complete hydrographic surveys of seven chutes and three backwaters on the Missouri River yearly during 2011–13. These chutes and backwaters were constructed by the USACE to increase the amount of available shallow water habitat (SWH) to support threatened and endangered species, as required by the amended “2000 Biological Opinion” on the operation of the Missouri River main-stem reservoir system. Chutes surveyed included Council chute, Plattsmouth chute, Tobacco chute, Upper Hamburg chute, Lower Hamburg chute, Kansas chute, and Deroin chute. Backwaters surveyed included Ponca backwater, Plattsmouth backwater, and Langdon backwater. Hydrographic data from these chute and backwater surveys will aid the USACE to assess the current (2011–13) amount of available SWH, the effects river flow have had on evolving morphology of the chutes and backwaters, and the functionality of the chute and backwater designs. Chutes and backwaters were surveyed from August through November 2011, June through November 2012, and May through October 2013. During the 2011 surveys, high water was present at all sites because of the major flooding on the Missouri River. The hydrographic survey data are published along with this report in comma-separated-values (csv) format with associated metadata.
\nHydrographic surveys included bathymetric and Real-Time Kinematic Global Navigation Satellite System surveys. Hydrographic data were collected along transects extending across the channel from top of bank to top of bank. Transect segments with water depths greater than 1 meter were surveyed using a single-beam echosounder to measure depth and a differentially corrected global positioning system to measure location. These depth soundings were converted to elevation using water-surface-elevation information collected with a Real-Time Kinematic Global Navigation Satellite System. Transect segments with water depths less than 1 meter were surveyed using Real-Time Kinematic Global Navigation Satellite Systems. Surveyed features included top of bank, toe of bank, edge of water, sand bars, and near-shore areas.
\nDischarge was measured at chute survey sites, in both the main channel of the Missouri River upstream from the chute and the chute. Many chute entrances and control structures were damaged by floodwater during the 2011 Missouri River flood, allowing a larger percentage of the total Missouri River discharge to flow through the chute than originally intended in the chute design. Measured discharge split between the main channel and the chute at most chutes was consistent with effects of the 2011 Missouri River flood damages and a larger percent of the total Missouri River discharge was flowing through the chute than originally intended. The U.S. Army Corps of Engineers repaired many of these chutes in 2012 and 2013, and the resulting hydraulic changes are reflected in the discharge splits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds909","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Omaha District","usgsCitation":"Krahulik, J., Densmore, B.K., Anderson, K.J., and Kavan, C.L., 2015, Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13: U.S. Geological Survey Data Series 909, Report: vi, 28 p.; 10 Figures: 8.5 inches x 11 inches; GIS Datasets, https://doi.org/10.3133/ds909.","productDescription":"Report: vi, 28 p.; 10 Figures: 8.5 inches x 11 inches; GIS Datasets","startPage":"28","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057194","costCenters":[{"id":464,"text":"Nebraska Water Science 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Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial synchrony in cisco recruitment","docAbstract":"We examined the spatial scale of recruitment variability for disparate cisco (Coregonus artedi) populations in the Great Lakes (n = 8) and Minnesota inland lakes (n = 4). We found that the scale of synchrony was approximately 400 km when all available data were utilized; much greater than the 50-km scale suggested for freshwater fish populations in an earlier global analysis. The presence of recruitment synchrony between Great Lakes and inland lake cisco populations supports the hypothesis that synchronicity is driven by climate and not dispersal. We also found synchrony in larval densities among three Lake Superior populations separated by 25–275 km, which further supports the hypothesis that broad-scale climatic factors are the cause of spatial synchrony. Among several candidate climate variables measured during the period of larval cisco emergence, maximum wind speeds exhibited the most similar spatial scale of synchrony to that observed for cisco. Other factors, such as average water temperatures, exhibited synchrony on broader spatial scales, which suggests they could also be contributing to recruitment synchrony. Our results provide evidence that abiotic factors can induce synchronous patterns of recruitment for populations of cisco inhabiting waters across a broad geographic range, and show that broad-scale synchrony of recruitment can occur in freshwater fish populations as well as those from marine systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2014.12.014","usgsCitation":"Myers, J., Yule, D.L., Jones, M.L., Ahrenstorff, T.D., Hrabik, T.R., Claramunt, R., Ebener, M.P., and Berglund, E., 2015, Spatial synchrony in cisco recruitment: Fisheries Research, v. 165, p. 11-21, https://doi.org/10.1016/j.fishres.2014.12.014.","productDescription":"11 p.","startPage":"11","endPage":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050718","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota","otherGeospatial":"Great Lakes, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.09716796875,\n 41.409775832009565\n ],\n [\n -97.09716796875,\n 49.009050809382046\n ],\n [\n -81.650390625,\n 49.009050809382046\n ],\n [\n -81.650390625,\n 41.409775832009565\n ],\n [\n -97.09716796875,\n 41.409775832009565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"165","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f589b1e4b02419550d2f35","contributors":{"authors":[{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":44055,"corporation":false,"usgs":false,"family":"Myers","given":"Jared T.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":541677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":139525,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":541676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":139526,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":541678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahrenstorff, Tyler D.","contributorId":92559,"corporation":false,"usgs":false,"family":"Ahrenstorff","given":"Tyler","email":"","middleInitial":"D.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":541679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":541680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":541681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":541682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berglund, Eric K.","contributorId":67012,"corporation":false,"usgs":true,"family":"Berglund","given":"Eric K.","affiliations":[],"preferred":false,"id":541683,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70139543,"text":"sir20155011 - 2015 - Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011","interactions":[],"lastModifiedDate":"2015-03-02T13:47:10","indexId":"sir20155011","displayToPublicDate":"2015-03-02T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5011","title":"Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011","docAbstract":"Nitrogen concentration data were collected from 20 wells near the Niantic River Estuary, during 18 sampling periods from 2005 through 2011, as part of a study to determine changes in nitrogen concentrations and loads as a result of sewering on the Pine Grove peninsula in Niantic, Connecticut. The Pine Grove peninsula area is a neighborhood of 35 acres containing 172 residences with onsite wastewater treatment systems at the beginning of the study in 2005. From 2008 through 2009, the residences were connected to a newly installed sewer system. Water-quality data collection continued from 2010 through 2011, after the sewers were installed.
\nThe peninsula is underlain by glacial stratified deposits. The freshwater in this aquifer ranges from 10 to 45 feet (ft) in thickness and overlies saline groundwater. The mean water-table altitude was from 0.09 to 0.97 ft above the North American Vertical Datum of 1988, with a horizontal hydraulic gradient of 0.0004 to 0.0005.
\nInitial sampling of the wells included analysis for nutrients, major ions, boron, bromide, and dissolved gases. Concentrations of nitrate plus nitrite nitrogen from the initial sampling ranged from 0.94 to 20 milligrams per liter (mg/L) in samples collected spatially and with depth in the aquifer. The mean concentration of total dissolved nitrogen before the sewers were installed was 7.5 mg/L, and dissolved gas analyses indicated little or no denitrification in the aquifer. Chloride to bromide ratios and boron analysis of the initial water samples confirmed that wastewater was a source of groundwater recharge to most of the wells. Annual recharge from onsite wastewater-disposal systems in 2006 was 4.98 inches, based on analysis of water-use data.
\nConcentrations of total dissolved nitrogen decreased following sewering in samples from most of the wells that were identified as having nitrogen related to wastewater discharge. Concentrations of total dissolved nitrogen in individual wells decreased by as much as 11.7 mg/L between the periods before and after the sewers were installed, and the mean concentration of total dissolved nitrogen in all wells decreased by 2.3 mg/L to a mean concentration of 5.2 mg/L.
\nNitrogen loads from groundwater in the Pine Grove peninsula area were estimated for three time periods by using the measured mean concentrations of total dissolved nitrogen and estimated recharge rates. The estimated nitrogen load before sewering was 1,675 pounds per year (lb/yr) and following sewering was 963 lb/yr. Mean concentrations of total dissolved nitrogen were assumed to have been reduced to 1.1 to 2.3 mg/L after the aquifer had stabilized and sewage-related nitrogen had been completely discharged from the system, with an estimated future load of 202 to 423 lb/yr.
\nNitrogen loads from groundwater discharge to the Niantic River Estuary from the lower part of the Niantic River watershed, including Pine Grove, were estimated to be 18,800 pounds (lb) in 2011. This compares with an additional 51,000 lb from the surface-water tributaries to the estuary and an unknown quantity of nitrogen load from stormwater runoff in the lower Niantic watershed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155011","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Mullaney, J.R., 2015, Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011: U.S. Geological Survey Scientific Investigations Report 2015-5011, vii, 30 p., https://doi.org/10.3133/sir20155011.","productDescription":"vii, 30 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-057160","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":298197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155011.jpg"},{"id":298196,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5011/pdf/sir2015-5011.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298195,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5011/"}],"country":"United States","state":"Connecticut","otherGeospatial":"Niantic River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.2024917602539,\n 41.321138395239565\n ],\n [\n -72.2024917602539,\n 41.372944119757406\n ],\n [\n -72.16747283935547,\n 41.372944119757406\n ],\n [\n -72.16747283935547,\n 41.321138395239565\n ],\n [\n -72.2024917602539,\n 41.321138395239565\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f589a9e4b02419550d2f2f","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539432,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159463,"text":"70159463 - 2015 - At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada","interactions":[],"lastModifiedDate":"2019-12-11T16:02:55","indexId":"70159463","displayToPublicDate":"2015-03-02T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada","docAbstract":"This special issue contains 12 papers that report on new understanding of arsenic (As) hydrogeochemistry, performance of household well water treatment systems, and testing and treatment behaviors of well users in several states of the northeastern region of the United States and Nova Scotia, Canada. The responsibility to ensure water safety of private wells falls on well owners. In the U.S., 43 million Americans, mostly from rural areas, use private wells. In order to reduce As exposure in rural populations that rely on private wells for drinking water, risk assessment, which includes estimation of population at risk of exposure to As above the EPA Maximum Contaminant Level, is helpful but insufficient because it does not identify individual households at risk. Persistent optimistic bias among well owners against testing and barriers such as cost of treatment mean that a large percentage of the population will not act to reduce their exposure to harmful substances such as As. If households are in areas with known As occurrence, a potentially large percentage of well owners will remain unaware of their exposure. To ensure that everyone, including vulnerable populations such as low income families with children and pregnant women, is not exposed to arsenic in their drinking water, alternative action will be required and warrants further research.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2014.10.089","usgsCitation":"Zheng, Y., and Ayotte, J.D., 2015, At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada: Science of the Total Environment, v. 505, p. 1237-1247, https://doi.org/10.1016/j.scitotenv.2014.10.089.","productDescription":"11 p.","startPage":"1237","endPage":"1247","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060375","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":472229,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4386837","text":"External Repository"},{"id":310904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Maine, New Hampshire, Massachusetts, Connecticut, Vermont, Pennsylvania, New Jersey, New Brunswick, Nova Scotia","otherGeospatial":"New England","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.1796875,\n 40.58058466412761\n ],\n [\n -70.751953125,\n 40.91351257612758\n ],\n [\n -69.12597656249999,\n 41.705728515237524\n ],\n [\n -68.5546875,\n 42.94033923363181\n ],\n [\n -63.54492187500001,\n 44.933696389694674\n ],\n [\n -62.9296875,\n 49.15296965617042\n ],\n [\n -67.8955078125,\n 48.10743118848039\n ],\n [\n -75.76171875,\n 42.52069952914966\n ],\n [\n -76.6845703125,\n 41.178653972331674\n ],\n [\n -74.1796875,\n 40.58058466412761\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"505","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389746e4b0d6133fe72f9b","contributors":{"authors":[{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":578975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157346,"text":"70157346 - 2015 - Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data","interactions":[],"lastModifiedDate":"2017-11-22T18:01:31","indexId":"70157346","displayToPublicDate":"2015-03-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data","docAbstract":"Statistics of central tendency and dispersion may not capture relevant or desired characteristics of the distribution of continuous phenomena and, thus, they may not adequately describe temporal patterns of change. Here, we present two methodological approaches that can help to identify temporal changes in environmental regimes. First, we use higher-order statistical moments (skewness and kurtosis) to examine potential changes of empirical distributions at decadal extents. Second, we adapt a statistical procedure combining a non-metric multidimensional scaling technique and higher density region plots to detect potentially anomalous years. We illustrate the use of these approaches by examining long-term stream temperature data from minimally and highly human-influenced streams. In particular, we contrast predictions about thermal regime responses to changing climates and human-related water uses. Using these methods, we effectively diagnose years with unusual thermal variability and patterns in variability through time, as well as spatial variability linked to regional and local factors that influence stream temperature. Our findings highlight the complexity of responses of thermal regimes of streams and reveal their differential vulnerability to climate warming and human-related water uses. The two approaches presented here can be applied with a variety of other continuous phenomena to address historical changes, extreme events, and their associated ecological responses.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-19-1169-2015","usgsCitation":"Arismendi, I., Johnson, S.L., and Dunham, J.B., 2015, Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data: Hydrology and Earth System Sciences, v. 19, p. 1169-1180, https://doi.org/10.5194/hess-19-1169-2015.","productDescription":"12 p.","startPage":"1169","endPage":"1180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056997","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-19-1169-2015","text":"Publisher Index Page"},{"id":308333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308307,"type":{"id":15,"text":"Index Page"},"url":"https://www.hydrol-earth-syst-sci.net/19/1169/2015/hess-19-1169-2015.html"}],"volume":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-02","publicationStatus":"PW","scienceBaseUri":"56012a52e4b03bc34f544402","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":572770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":572771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":572769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198332,"text":"70198332 - 2015 - Life in the main channel: long-term hydrologic control of microbial mat abundance in McMurdo Dry Valley streams, Antarctica","interactions":[],"lastModifiedDate":"2018-07-30T16:03:50","indexId":"70198332","displayToPublicDate":"2015-03-01T15:13:02","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Life in the main channel: long-term hydrologic control of microbial mat abundance in McMurdo Dry Valley streams, Antarctica","docAbstract":"Given alterations in global hydrologic regime, we examine the role of hydrology in regulating stream microbial mat abundance in the McMurdo Dry Valleys, Antarctica. Here, perennial mats persist as a desiccated crust until revived by summer streamflow, which varies inter-annually, and has increased since the 1990s. We predicted high flows to scour mats, and intra-seasonal drying to slow growth. Responses were hypothesized to differ based on mat location within streams, along with geomorphology, which may promote (high coverage) or discourage (low coverage) accrual. We compared hydrologic trends with the biomass of green and orange mats, which grow in the channel, and black mats growing at stream margins for 16 diverse stream transects over two decades. We found mat biomass collectively decreased during first decade coinciding with low flows, and increased following elevated discharges. Green mat biomass showed the greatest correlations with hydrology and was stimulated by discharge in high coverage transects, but negatively correlated in low coverage due to habitat scour. In contrast, orange mat biomass was negatively related to flow in high coverage transects, but positively correlated in low coverage because of side-channel expansion. Black mats were weakly correlated with all hydrologic variables regardless of coverage. Lastly, model selection indicated the best combination of predictive hydrologic variables for biomass differed between mat types, but also high and low coverage transects. These results demonstrate the importance of geomorphology and species composition to modeling primary production, and will be useful in predicting ecological responses of benthic habitats to altered hydrologic regimes.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-014-9829-6","usgsCitation":"Kohler, T.J., Stanish, L.F., Crisp, S.W., Koch, J.C., Liptzin, D., Baeseman, J.L., and McKnight, D.M., 2015, Life in the main channel: long-term hydrologic control of microbial mat abundance in McMurdo Dry Valley streams, Antarctica: Ecosystems, v. 18, no. 2, p. 310-327, https://doi.org/10.1007/s10021-014-9829-6.","productDescription":"28 p.","startPage":"310","endPage":"327","ipdsId":"IP-052879","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":356007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"McMurdo Dry Valley, Antarctica","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-12-23","publicationStatus":"PW","scienceBaseUri":"5b6fcc2de4b0f5d57878ecd1","contributors":{"authors":[{"text":"Kohler, Tyler J.","contributorId":206557,"corporation":false,"usgs":false,"family":"Kohler","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":25642,"text":"Institute of arctic and Alpine Research, Univ. of Co, Boulder, C","active":true,"usgs":false}],"preferred":false,"id":741108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanish, Lee F.","contributorId":206565,"corporation":false,"usgs":false,"family":"Stanish","given":"Lee","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":741109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crisp, Steven W.","contributorId":206558,"corporation":false,"usgs":false,"family":"Crisp","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":25620,"text":"Institute of Arctic and Alpine Research, University of Colorado – Boulder","active":true,"usgs":false}],"preferred":false,"id":741110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liptzin, Daniel","contributorId":168551,"corporation":false,"usgs":false,"family":"Liptzin","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":741112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baeseman, Jenny L.","contributorId":189421,"corporation":false,"usgs":false,"family":"Baeseman","given":"Jenny","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":741114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70162625,"text":"70162625 - 2015 - Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA","interactions":[],"lastModifiedDate":"2016-01-27T13:38:31","indexId":"70162625","displayToPublicDate":"2015-03-01T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA","docAbstract":"Contamination to aquatic resources from co-produced water (brine) associated with energy development has been documented in the northeastern portion of the Williston Basin; an area mantled by glacial drift. The presence and magnitude of brine contamination can be determined using the contamination index (CI) value from water samples. Recently, the U.S. Geological Survey published a section (~ 2.59 km2) level risk assessment of brine contamination to aquatic resources for Sheridan County, Montana, using oilfield and hydrogeological parameters.
\nOur goal was to improve the Sheridan County assessment (SCA) and evaluate the use of this new Williston Basin assessment (WBA) across 31 counties mantled by glacial drift in the Williston Basin. To determine if the WBA model improved the SCA model, results from both assessments were compared to CI values from 37 surface and groundwater samples collected to evaluate the SCA. The WBA (R2 = 0.65) outperformed the SCA (R2 = 0.52) indicating improved model performance. Applicability across the Williston Basin was evaluated by comparing WBA results to CI values from 123 surface water samples collected from 97 sections. Based on the WBA, the majority (83.5%) of sections lacked an oil well and had minimal risk. Sections with one or more oil wells comprised low (8.4%), moderate (6.5%), or high (1.7%) risk areas. The percentage of contaminated water samples, percentage of sections with at least one contaminated sample, and the average CI value of contaminated samples increased from low to high risk indicating applicability across the Williston Basin. Furthermore, the WBA performed better compared to only the contaminated samples (R2 = 0.62) versus all samples (R2 = 0.38). This demonstrates that the WBA was successful at identifying sections, but not individual aquatic resources, with an increased risk of contamination; therefore, WBA results can prioritize future sampling within areas of increased risk.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2014.11.054","collaboration":"USFWS Region 6 Inventory and Monitoring Program","usgsCitation":"Preston, T.M., and Chesley-Preston, T.L., 2015, Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA: Science of the Total Environment, v. 508, p. 534-545, https://doi.org/10.1016/j.scitotenv.2014.11.054.","productDescription":"12 p.","startPage":"534","endPage":"545","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059481","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.16259765625,\n 48.96579381461063\n ],\n [\n -109.40185546874999,\n 48.99463598353405\n ],\n [\n -109.57763671875,\n 47.82790816919327\n ],\n [\n -108.43505859374999,\n 47.635783590864854\n ],\n [\n -107.77587890625,\n 47.54687159892238\n ],\n [\n -106.8310546875,\n 47.7097615426664\n ],\n [\n -106.50146484374999,\n 48.019324184801185\n ],\n [\n -104.9853515625,\n 48.09275716032736\n ],\n [\n -104.765625,\n 48.04870994288686\n ],\n [\n -103.9306640625,\n 47.97521412341618\n ],\n [\n -103.71093749999999,\n 48.122101028190805\n ],\n [\n -103.447265625,\n 47.945786463687185\n ],\n [\n -103.1396484375,\n 48.1367666796927\n ],\n [\n -102.568359375,\n 48.03401915864286\n ],\n [\n -102.26074218749999,\n 47.66538735632654\n ],\n [\n -101.8212890625,\n 47.487513008956554\n ],\n [\n -101.337890625,\n 47.56170075451973\n ],\n [\n -101.337890625,\n 47.249406957888446\n ],\n [\n -100.986328125,\n 47.249406957888446\n ],\n [\n -100.8984375,\n 46.89023157359399\n ],\n [\n -100.5908203125,\n 46.51351558059737\n ],\n [\n -100.5029296875,\n 46.28622391806708\n ],\n [\n -100.6787109375,\n 46.10370875598026\n ],\n [\n -100.45898437499999,\n 45.96642454131025\n ],\n [\n -99.5361328125,\n 45.9511496866914\n ],\n [\n -98.228759765625,\n 45.96642454131025\n ],\n [\n -98.162841796875,\n 46.927758623434435\n ],\n [\n -97.987060546875,\n 47.71715357016648\n ],\n [\n -98.15185546874999,\n 48.29781249243716\n ],\n [\n -98.81103515625,\n 49.001843917978526\n ],\n [\n -99.16259765625,\n 48.96579381461063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"508","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a9f84be4b012c193aa3edc","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesley-Preston, Tara L. tchesley-preston@usgs.gov","contributorId":5557,"corporation":false,"usgs":true,"family":"Chesley-Preston","given":"Tara","email":"tchesley-preston@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150432,"text":"70150432 - 2015 - The role of depth in regulating water quality and fish assemblages in oxbow lakes","interactions":[],"lastModifiedDate":"2018-09-14T15:59:59","indexId":"70150432","displayToPublicDate":"2015-03-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"The role of depth in regulating water quality and fish assemblages in oxbow lakes","docAbstract":"We evaluated water quality and fish assemblages in deep (> 3.0 m; N = 7) and shallow (< 1.5 m; N = 6) floodplain lakes in the intensively cultivated Yazoo River Basin (Mississippi, USA) using indirect gradient multivariate procedures. Shallow lakes displayed wide diel oxygen fluctuations, some reaching hypoxic/anoxic conditions for extended periods of time, high suspended solids, and extreme water temperatures. Conversely, deeper lakes were represented by higher visibility, stable oxygen levels, and cooler water temperatures. Fish assemblages in shallow lakes were dominated by tolerant, small-bodied fishes and those able to breathe atmospheric oxygen. Deeper lakes had a greater representation of predators and other large-bodied fishes. Our evaluation suggests fish assemblages are reflective of oxbow lakes water quality, which is shaped by depth. Understanding the interactions between depth, water quality, and fish assemblages may facilitate development of effective management plans for improving conditions necessary to sustain diverse fish assemblages in agriculturally dominated basins.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-014-0330-z","usgsCitation":"Goetz, D.B., Miranda, L.E., Kroger, R., and Andrews, C.S., 2015, The role of depth in regulating water quality and fish assemblages in oxbow lakes: Environmental Biology of Fishes, v. 98, no. 3, p. 951-959, https://doi.org/10.1007/s10641-014-0330-z.","productDescription":"9 p.","startPage":"951","endPage":"959","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":302437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-03","publicationStatus":"PW","scienceBaseUri":"558e77bee4b0b6d21dd6597f","contributors":{"authors":[{"text":"Goetz, Daniel B.","contributorId":143784,"corporation":false,"usgs":false,"family":"Goetz","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":557079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":557080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Caroline S.","contributorId":143700,"corporation":false,"usgs":false,"family":"Andrews","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":557081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70143906,"text":"70143906 - 2015 - Endocrine disrupting alkylphenolic chemicals and other contaminants in wastewater treatment plant effluents, urban streams, and fish in the Great Lakes and Upper Mississippi River Regions","interactions":[],"lastModifiedDate":"2018-09-04T15:45:00","indexId":"70143906","displayToPublicDate":"2015-03-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Endocrine disrupting alkylphenolic chemicals and other contaminants in wastewater treatment plant effluents, urban streams, and fish in the Great Lakes and Upper Mississippi River Regions","docAbstract":"Urban streams are an integral part of the municipal water cycle and provide a point of discharge for wastewater treatment plant (WWTP) effluents, allowing additional attenuation through dilution and transformation processes, as well as a conduit for transporting contaminants to downstream water supplies. Domestic and commercial activities dispose of wastes down-the-drain, resulting in wastewater containing complex chemical mixtures that are only partially removed during treatment. A key issue associated with WWTP effluent discharge into streams is the potential to cause endocrine disruption in fish. This study provides a long-term (1999-2009) evaluation of the occurrence of alkylphenolic endocrine disrupting chemicals (EDCs) and other contaminants discharged from WWTPs into streams in the Great Lakes and Upper Mississippi River Regions (Indiana, Illinois, Michigan, Minnesota, and Ohio). The Greater Metropolitan Chicago Area Waterways, Illinois, were evaluated to determine contaminant concentrations in the major WWTP effluents and receiving streams, and assess the behavior of EDCs from their sources within the sewer collection system, through the major treatment unit processes at a WWTP, to their persistence and transport in the receiving stream. Water samples were analyzed for alkylphenolic EDCs and other contaminants, including 4-nonylphenol (NP), 4-nonylphenolpolyethoxylates (NPEO), 4-nonylphenolethoxycarboxylic acids (NPEC), 4-tert-octylphenol (OP), 4-tert-octylphenolpolyethoxylates (OPEO), bisphenol A, triclosan, ethylenediaminetetraacetic acid (EDTA), and trace elements. All of the compounds were detected in all of the WWTP effluents, with EDTA and NPEC having the greatest concentrations. The compounds also were detected in the WWTP effluent dominated rivers. Multiple fish species were collected from river and lake sites and analyzed for NP, NPEO, NPEC, OP, and OPEO. Whole-body fish tissue analysis indicated widespread occurrence of alkylphenolic compounds, with the highest concentrations occurring in streams with the greatest WWTP effluent content. Biomarkers of endocrine disruption in the fish indicated long-term exposure to estrogenic chemicals in the wastewater impacted urban waterways.
","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2015.02.035","usgsCitation":"Barber, L.B., Loyo-Rosales, J.E., Rice, C.P., Minarik, T.A., and Oskouie, A.K., 2015, Endocrine disrupting alkylphenolic chemicals and other contaminants in wastewater treatment plant effluents, urban streams, and fish in the Great Lakes and Upper Mississippi River Regions: Science of the Total Environment, v. 517, p. 195-206, https://doi.org/10.1016/j.scitotenv.2015.02.035.","productDescription":"12 p.","startPage":"195","endPage":"206","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063329","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":298891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"517","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55128aade4b02e76d75bd60b","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":543102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loyo-Rosales, Jorge E.","contributorId":139815,"corporation":false,"usgs":false,"family":"Loyo-Rosales","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":13282,"text":"Ryerson University","active":true,"usgs":false}],"preferred":false,"id":543103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Clifford P.","contributorId":56594,"corporation":false,"usgs":true,"family":"Rice","given":"Clifford","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":543104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minarik, Thomas A.","contributorId":139816,"corporation":false,"usgs":false,"family":"Minarik","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":13283,"text":"Metropolitan Water Reclamation District of Greater Chicago","active":true,"usgs":false}],"preferred":false,"id":543105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oskouie, Ali K.","contributorId":139817,"corporation":false,"usgs":false,"family":"Oskouie","given":"Ali","email":"","middleInitial":"K.","affiliations":[{"id":13284,"text":"Illinois Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":543106,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70143924,"text":"70143924 - 2015 - Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development","interactions":[],"lastModifiedDate":"2018-08-09T12:45:36","indexId":"70143924","displayToPublicDate":"2015-03-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development","docAbstract":"Salinization is a global threat to the quality of streams and rivers, but it can have many causes. Oil and gas development were investigated as one of several potential causes of changes in the salinity of Muddy Creek, which drains 2470 km2 of mostly public land in Wyoming, U.S.A. Stream discharge and salinity vary with seasonal snowmelt and define a primary salinity-discharge relationship. Salinity, measured by specific conductance, increased substantially in 2009 and was 53-71% higher at low discharge and 33-34% higher at high discharge for the years 2009-2012 compared to 2005-2008. Short-term processes (e.g., flushing of efflorescent salts) cause within-year deviations from the primary relation but do not obscure the overall increase in salinity. Dissolved elements associated with increased salinity include calcium, magnesium, and sulfate, a composition that points to native soil salts derived from marine shales as a likely source. Potential causes of the salinity increase were evaluated for consistency by using measured patterns in stream chemistry, slope of the salinity-discharge relationship, and inter-annual timing of the salinity increase. Potential causes that were inconsistent with one or more of those criteria included effects from precipitation, evapotranspiration, reservoirs, grazing, irrigation return flow, groundwater discharge, discharge of energy co-produced waters, and stream habitat restoration. In contrast, surface disturbance of naturally salt-rich soil by oil and gas development activities, such as pipeline, road, and well pad construction, is a reasonable candidate for explaining the salinity increase. As development continues to expand in semiarid lands worldwide, the potential for soil disturbance to increase stream salinity should be considered, particularly where soils host substantial quantities of native salts.
","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.02.020","usgsCitation":"Bern, C., Clark, M.L., Schmidt, T., Holloway, J.M., and Mcdougal, R., 2015, Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development: Journal of Hydrology: Regional Studies, v. 524, p. 123-136, https://doi.org/10.1016/j.jhydrol.2015.02.020.","productDescription":"14 p.","startPage":"123","endPage":"136","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057757","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":298890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55128ab5e4b02e76d75bd621","contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":139818,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":543110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcdougal, Robert rmcdouga@usgs.gov","contributorId":139819,"corporation":false,"usgs":true,"family":"Mcdougal","given":"Robert","email":"rmcdouga@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70135275,"text":"70135275 - 2015 - Mineral resource of the month: silver","interactions":[],"lastModifiedDate":"2015-05-20T09:00:03","indexId":"70135275","displayToPublicDate":"2015-03-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: silver","docAbstract":"Silver, one of the eight precious or noble metals, has been used extensively throughout recorded history for various medical purposes, ornaments and utensils, and for its intrinsic value as the basis for trade and monetary systems. Silver has played a significant role in world history, financing a Greek victory over the Persians in 480 B.C., helping Spain become a world power in the 16th and 17th centuries, and helping fund the Union forces during the U.S. Civil War, to give a few examples.
\nSilver occurs as a native metal; in sulfide ores of copper, lead and zinc; and sometimes with bismuth and antimony. Silver is always present in ores containing gold. The Silver Institute estimated that, in 2013, about 29 percent of global mined silver came from silver ores, 38 percent came from lead-zinc ores, 20 percent came from copper ores and 13 percent came from gold ores.
\nSilver's properties include its ability to endure extreme temperatures, its high reflectance of light, its thermal and electrical conductivity (the highest of all metals), and its strength, malleability and ductility. Demand for silver arises from three areas: industrial applications (in electronics, brazing alloys and solders, photography and other uses), investment (including coins and bars), and silver jewelry and decor (including silverware).
\nSilver-halide X-rays were long the standard, but are now being replaced by digital imaging technology. Since 2000, demand for silver in photographic applications has also declined owing to the use of digital photography. In 2013, uses in electronics accounted for 42 percent of U.S. silver consumption; coins and metals for 35 percent; photography for 13 percent; jewelry and silverware for 7 percent; and other uses for 3 percent.
\nSilver is also used in solar power generation: 90 percent of crystalline silicon photovoltaic solar cells use silver paste. On windows, a transparent layer of silver reflects up to 95 percent of sunlight, saving energy. In water purification, use of silver eliminates the need for corrosive chlorine.
\nFor more information on silver and other mineral resources, visit: http://minerals.usgs.gov/minerals.
","language":"English","publisher":"American Geological Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Katrivanos, F.C., 2015, Mineral resource of the month: silver: Earth, v. 60, no. 3, p. 53-53.","productDescription":"1 p.","startPage":"53","endPage":"53","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061694","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":300596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-silver"},{"id":300597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555db054e4b0a92fa7eb831a","contributors":{"authors":[{"text":"Katrivanos, Florence C. fkatrivanos@usgs.gov","contributorId":2109,"corporation":false,"usgs":true,"family":"Katrivanos","given":"Florence","email":"fkatrivanos@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":527006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70146993,"text":"70146993 - 2015 - EverVIEW: a visualization platform for hydrologic and Earth science gridded data","interactions":[],"lastModifiedDate":"2015-04-24T11:47:41","indexId":"70146993","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"EverVIEW: a visualization platform for hydrologic and Earth science gridded data","docAbstract":"The EverVIEW Data Viewer is a cross-platform desktop application that combines and builds upon multiple open source libraries to help users to explore spatially-explicit gridded data stored in Network Common Data Form (NetCDF). Datasets are displayed across multiple side-by-side geographic or tabular displays, showing colorized overlays on an Earth globe or grid cell values, respectively. Time-series datasets can be animated to see how water surface elevation changes through time or how habitat suitability for a particular species might change over time under a given scenario. Initially targeted toward Florida's Everglades restoration planning, EverVIEW has been flexible enough to address the varied needs of large-scale planning beyond Florida, and is currently being used in biological planning efforts nationally and internationally.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2014.12.004","usgsCitation":"Romañach, S., McKelvy, M., Suir, K.J., and Conzelmann, C., 2015, EverVIEW: a visualization platform for hydrologic and Earth science gridded data: Computers & Geosciences, v. 76, p. 88-95, https://doi.org/10.1016/j.cageo.2014.12.004.","productDescription":"8 p.","startPage":"88","endPage":"95","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056104","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2014.12.004","text":"Publisher Index Page"},{"id":299865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553b6945e4b0a658d79371bb","chorus":{"doi":"10.1016/j.cageo.2014.12.004","url":"http://dx.doi.org/10.1016/j.cageo.2014.12.004","publisher":"Elsevier BV","authors":"Romañach Stephanie S., McKelvy Mark, Suir Kevin, Conzelmann Craig","journalName":"Computers & Geosciences","publicationDate":"3/2015","auditedOn":"2/10/2015","publiclyAccessibleDate":"12/16/2014"},"contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":138936,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":545554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKelvy, Mark 0000-0001-5465-2571 mckelvym@usgs.gov","orcid":"https://orcid.org/0000-0001-5465-2571","contributorId":4865,"corporation":false,"usgs":true,"family":"McKelvy","given":"Mark","email":"mckelvym@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":545555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545557,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70143551,"text":"70143551 - 2015 - Hydroclimatic conditions preceding the March 2014 Oso landslide","interactions":[],"lastModifiedDate":"2015-06-02T11:24:40","indexId":"70143551","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatic conditions preceding the March 2014 Oso landslide","docAbstract":"The 22 March 2014 Oso landslide was one of the deadliest in U.S. history, resulting in 43 fatalities and the destruction of more than 40 structures. We examine synoptic conditions, precipitation records and soil moisture reconstructions in the days, months, and years preceding the landslide. Atmospheric reanalysis shows a period of enhanced moisture transport to the Pacific Northwest beginning on 11 February 2014. The 21- to 42-day periods prior to the landslide had anomalously high precipitation; we estimate that 300-400 mm of precipitation fell at Oso in the 21 days prior to the landslide. Relative only to historical periods ending on 22 March, the return periods of these precipitation accumulations are large (25-88 years). However, relative to the largest accumulations from any time of the year (annual maxima), return periods are more modest (2-6 years). In addition to the 21-42 days prior to the landslide, there is a secondary maximum in the precipitation return periods for the 4 years preceding the landslide. Reconstructed soil moisture was anomalously high prior to the landslide, with a return period that exceeded 40 years about a week before the event.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-15-0008.1","usgsCitation":"Henn, B., Cao, Q., Lettenmaier, D.P., Magirl, C.S., Mass, C., Bower, J.B., St. Laurent, M., Mao, Y., and Perica, S., 2015, Hydroclimatic conditions preceding the March 2014 Oso landslide: Journal of Hydrometeorology, v. 16, no. 3, p. 1243-1249, https://doi.org/10.1175/JHM-D-15-0008.1.","productDescription":"7 p.","startPage":"1243","endPage":"1249","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061638","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":472244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-15-0008.1","text":"Publisher Index Page"},{"id":298832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.167724609375,\n 47.27177506640826\n ],\n [\n -123.167724609375,\n 48.94415123418794\n ],\n [\n -119.388427734375,\n 48.94415123418794\n ],\n [\n -119.388427734375,\n 47.27177506640826\n ],\n [\n -123.167724609375,\n 47.27177506640826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d44c0e4b02e76d759d87f","contributors":{"authors":[{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cao, Qian","contributorId":139778,"corporation":false,"usgs":false,"family":"Cao","given":"Qian","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lettenmaier, Dennis P.","contributorId":139779,"corporation":false,"usgs":false,"family":"Lettenmaier","given":"Dennis","email":"","middleInitial":"P.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mass, Clifford","contributorId":139780,"corporation":false,"usgs":false,"family":"Mass","given":"Clifford","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bower, J. Brent","contributorId":138697,"corporation":false,"usgs":false,"family":"Bower","given":"J.","email":"","middleInitial":"Brent","affiliations":[{"id":12498,"text":"NOAA National Weather Service, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":542797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"St. Laurent, Michael","contributorId":139782,"corporation":false,"usgs":false,"family":"St. Laurent","given":"Michael","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mao, Yixin","contributorId":139783,"corporation":false,"usgs":false,"family":"Mao","given":"Yixin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perica, Sanja","contributorId":139784,"corporation":false,"usgs":false,"family":"Perica","given":"Sanja","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542800,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70144704,"text":"70144704 - 2015 - Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","interactions":[],"lastModifiedDate":"2015-12-21T13:16:57","indexId":"70144704","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","docAbstract":"Rainbow and brown trout have been intentionally introduced into tailwaters downriver of dams globally and provide billions of dollars in economic benefits. At the same time, recruitment and maximum length of trout populations in tailwaters often fluctuate erratically, which negatively affects the value of fisheries. Large recruitment events may increase dispersal downriver where other fish species may be a priority (e.g., endangered species). There is an urgent need to understand the drivers of trout population dynamics in tailwaters, in particular the role of flow management. Here, we evaluate how flow, fish density, and other physical factors of the river influence recruitment and mean adult length in tailwaters across western North America using data from 29 dams spanning 1-19 years. Rainbow trout recruitment was negatively correlated with high annual, summer, and spring flow and dam latitude, and positively correlated with high winter flow, sub-adult brown trout catch, and reservoir storage capacity. Brown trout recruitment was negatively correlated with high water velocity and daily fluctuations in flow (i.e., hydropeaking) and positively correlated with adult rainbow trout catch. Among these many drivers, rainbow trout recruitment was primarily correlated with high winter flow combined with low spring flow, whereas brown trout recruitment was most related to high water velocity.
\nThe mean lengths of adult rainbow and brown trout were influenced by similar flow and catch metrics. Length in both species was positively correlated with high annual flow but declined in tailwaters with high daily fluctuations in flow, high catch rates of conspecifics, and when large cohorts recruited to adult size. Whereas brown trout did not respond to the proportion of water allocated between seasons, rainbow trout length increased in rivers that released more water during winter than in spring. Rainbow trout length was primarily related to high catch rates of conspecifics, whereas brown trout length was mainly related to large cohorts recruiting to the adult size class. Species-specific responses to flow management are likely attributable to differences in seasonal timing of key life history events such as spawning, egg hatching, and fry emergence.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-2211.1","usgsCitation":"Dibble, K.L., Yackulic, C.B., Kennedy, T., and Budy, P.E., 2015, Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America: Ecological Applications, v. 25, no. 8, p. 2168-2179, https://doi.org/10.1890/14-2211.1.","productDescription":"12 p.","startPage":"2168","endPage":"2179","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060840","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438714,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79P2ZQ2","text":"USGS data release","linkHelpText":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North AmericaData"},{"id":299221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.0244140625,\n 31.31610138349565\n ],\n [\n -125.0244140625,\n 49.009050809382046\n ],\n [\n -101.90917968749999,\n 49.009050809382046\n ],\n [\n -101.90917968749999,\n 31.31610138349565\n ],\n [\n -125.0244140625,\n 31.31610138349565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a4a","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":543799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":543800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148113,"text":"70148113 - 2015 - Response of crayfish to hyporheic water availability and excess sedimentation","interactions":[],"lastModifiedDate":"2015-06-02T14:01:18","indexId":"70148113","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Response of crayfish to hyporheic water availability and excess sedimentation","docAbstract":"Crayfish in many headwater streams regularly cope with seasonal drought. However, it is unclear how landscape changes affect the long-term persistence of crayfish populations. We designed two laboratory experiments to investigate the acute effects of common landscape stressors on crayfish: water withdrawal and sedimentation. The first experiment tested the interaction among water withdrawals (four 24-h water reductions of 0, 15, 30, or 45 cm) and two substrate treatments (pebble and cobble) on the burrowing depth of crayfish. The second experiment evaluated the effects of excess fine sediment (three treatments of 0, 45, and 90% sediment) and substrate type (cobble and pebble) on crayfish burrowing depth. Crayfish were able to burrow deeper into the simulated hyporheic zone in cobble substrate when compared to pebble. Crayfish subjected to greater water withdrawals in the pebble treatment were not able to reach the simulated hyporheic zone. Excess fine sediment reduced the depth that crayfish burrowed, regardless of substrate type. Results from this study suggest excess fine sediment may reduce crayfish persistence, particularly when seeking refuge during prolonged dry conditions.
","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10750-014-2126-8","usgsCitation":"Dyer, J.J., Worthington, T.A., and Brewer, S.K., 2015, Response of crayfish to hyporheic water availability and excess sedimentation: Hydrobiologia, v. 747, no. 1, p. 147-157, https://doi.org/10.1007/s10750-014-2126-8.","productDescription":"11 p.","startPage":"147","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057495","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"747","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"556ed3d3e4b0d9246a9fa7f6","contributors":{"authors":[{"text":"Dyer, Joseph J.","contributorId":140681,"corporation":false,"usgs":false,"family":"Dyer","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":547436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174829,"text":"70174829 - 2015 - Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","interactions":[],"lastModifiedDate":"2016-07-18T11:37:50","indexId":"70174829","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","docAbstract":"Cheney Reservoir, constructed during 1962 to 1965, is the primary water supply for the city of Wichita, the largest city in Kansas. Sediment is an important concern for the reservoir as it degrades water quality and progressively decreases water storage capacity. Long-term data collection provided a unique opportunity to estimate the annual suspended sediment loads for the entire history of the reservoir. To quantify and characterize sediment loading to Cheney Reservoir, discrete suspended sediment samples and continuously measured streamflow data were collected from the North Fork Ninnescah River, the primary inflow to Cheney Reservoir, over a 48-year period. Continuous turbidity data also were collected over a 15-year period. These data were used together to develop simple linear regression models to compute continuous suspended sediment concentrations and loads from 1966 to 2013. The inclusion of turbidity as an additional explanatory variable with streamflow improved regression model diagnostics and increased the amount of variability in suspended sediment concentration explained by 14%. Using suspended sediment concentration from the streamflow-only model, the average annual suspended sediment load was 102,517 t (113,006 tn) and ranged from 4,826 t (5,320 tn) in 1966 to 967,569 t (1,066,562 tn) in 1979. The sediment load in 1979 accounted for about 20% of the total load over the 48-year history of the reservoir and 92% of the 1979 sediment load occurred in one 24-hour period during a 1% annual exceedance probability flow event (104-year flood). Nearly 60% of the reservoir sediment load during the 48-year study period occurred in 5 years with extreme flow events (9% to 1% annual exceedance probability, or 11- to 104-year flood events). A substantial portion (41%) of sediment was transported to the reservoir during five storm events spanning only eight 24-hour periods during 1966 to 2013. Annual suspended sediment load estimates based on streamflow were, on average, within ±20% of estimates based on streamflow and turbidity combined. Results demonstrate that large suspended sediment loads are delivered to Cheney Reservoir in very short time periods, indicating that sediment management plans eventually must address large, infrequent inflow events to be effective.
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Development of geochemical indicators of ground-ice residence times in permafrost will advance understanding of the circumstances and evidence of permafrost formation, preservation, and thaw in response to climate warming and other disturbance. We used uranium isotopes to evaluate the residence time of segregated ground ice from ice-rich loess permafrost cores in central Alaska. Activity ratios of 234U vs. 238U (234U/238U) in water from thawed core sections ranged between 1.163 and 1.904 due to contact of ice and associated liquid water with mineral surfaces over time. Measured (234U/238U) values in ground ice showed an overall increase with depth in a series of five neighboring cores up to 21 m deep. This is consistent with increasing residence time of ice with depth as a result of accumulation of loess over time, as well as characteristic ice morphologies, high segregated ice content, and wedge ice, all of which support an interpretation of syngenetic permafrost formation associated with loess deposition. At the same time, stratigraphic evidence indicates some past sediment redistribution and possibly shallow thaw among cores, with local mixing of aged thaw waters. Using measures of surface area and a leaching experiment to determine U distribution, a geometric model of (234U/238U) evolution suggests mean ages of up to ∼200 ky BP in the deepest core, with estimated uncertainties of up to an order of magnitude. Evidence of secondary coatings on loess grains with elevated (234U/238U) values and U concentrations suggests that refinement of the geometric model to account for weathering processes is needed to reduce uncertainty. We suggest that in this area of deep ice-rich loess permafrost, ice bodies have been preserved from the last glacial period (10–100 ky BP), despite subsequent fluctuations in climate, fire disturbance and vegetation. Radiocarbon (14C) analysis of dissolved organic carbon (DOC) in thaw waters supports ages greater than ∼40 ky BP below 10 m. DOC concentrations in thaw waters increased with depth to maxima of >1000 ppm, despite little change in ice content or cryostructures. These relations suggest time-dependent production of old DOC that will be released upon permafrost thaw at a rate that is mediated by sediment transport, among other factors.
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