{"pageNumber":"540","pageRowStart":"13475","pageSize":"25","recordCount":40783,"records":[{"id":70154756,"text":"70154756 - 2015 - Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","interactions":[],"lastModifiedDate":"2017-05-08T15:49:48","indexId":"70154756","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","docAbstract":"

The U.S. Bureau of Reclamation (USBR) and local stakeholder groups are evaluating reservoir-management strategies within Paonia Reservoir. This small reservoir fills to capacity each spring and requires approximately half of the snowmelt-runoff volume from its sediment-laden source waters, Muddy Creek. The U.S. Geological Survey is currently conducting high-resolution (15-minute data-recording interval) sediment monitoring to characterize incoming and outgoing sediment flux during reservoir operations at two sites on Muddy Creek. The high-resolution monitoring is being used to establish current rates of reservoir sedimentation, support USBR sediment transport and storage models, and assess the viability of water-storage recovery in Paonia Reservoir. These sites are equipped with in situ, single-frequency, side-looking acoustic Doppler current meters in conjunction with turbidity sensors to monitor sediment flux. This project serves as a demonstration of the capability of using surrogate techniques to predict suspended-sediment concentrations in small streams (less than 20 meters in width and 2 meters in depth). These two sites provide the ability to report near real-time suspended-sediment concentrations through the U.S. Geological Survey National Water Information System (NWIS) web interface and National Real-Time Water Quality websites (NRTWQ) to aid in reservoir operations and assessments.

","conferenceTitle":"10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Williams, C.A., Richards, R.J., and Collins, K.L., 2015, Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado, 10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference, Reno, NV, April 19-23, 2015, 11 p.","productDescription":"11 p.","ipdsId":"IP-061300","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":340960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340958,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=235"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.89373779296875,\n 38.515937313413474\n ],\n [\n -107.2430419921875,\n 38.515937313413474\n ],\n [\n -107.2430419921875,\n 39.31942523123949\n ],\n [\n -108.89373779296875,\n 39.31942523123949\n ],\n [\n -108.89373779296875,\n 38.515937313413474\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a68","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Kent L.","contributorId":51179,"corporation":false,"usgs":true,"family":"Collins","given":"Kent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":563977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188369,"text":"70188369 - 2015 - Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","interactions":[],"lastModifiedDate":"2017-06-07T11:10:51","indexId":"70188369","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","docAbstract":"

I reexamine the lower crust and mantle relaxation following two large events in the Mojave Desert: the 1992 M7.3 Landers and 1999 M7.1 Hector Mine, California, earthquakes. Time series from continuous GPS sites out to 300 km from the ruptures are used to constrain models of postseismic relaxation. Crustal motions in the Mojave Desert region are elevated above background for several years following each event. To account for broadscale relaxation of the lower crust and mantle, the Burgers body model is employed, involving transient and steady state viscosities. Joint afterslip/postseismic relaxation modeling of the GPS time series up to one decade following the Hector Mine earthquake reveals a significant rheological contrast between a northwest trending “southwest domain” (that envelopes the San Andreas fault system and western Mojave Desert) and an adjacent “northeast domain” (that envelopes the Landers and Hector Mine rupture areas in the central Mojave Desert). The steady state viscosity of the northeast domain mantle asthenosphere is inferred to be ∼4 times greater than that of the southwest domain. This pattern is counter to that expected for regional heat flow, which is higher in the northeast domain, but it is explicable by means of a nonlinear rheology that includes dependence on both strain rate and water concentration. I infer that the southwest domain mantle has a relatively low steady state viscosity because of its high strain rate and water content. The relatively low mantle water content of the northeast domain is interpreted to result from the continual extraction of water through igneous and volcanic activity over the past ∼20 Myr.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011603","usgsCitation":"Pollitz, F., 2015, Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle: Journal of Geophysical Research B: Solid Earth, v. 120, no. 4, p. 2672-2696, https://doi.org/10.1002/2014JB011603.","productDescription":"25 p.","startPage":"2672","endPage":"2696","ipdsId":"IP-057101","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.5,\n 33.5\n ],\n [\n -117.25,\n 33.5\n ],\n [\n -117.25,\n 35\n ],\n [\n -115.5,\n 35\n ],\n [\n -115.5,\n 33.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"593910b1e4b0764e6c5e889f","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697421,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187563,"text":"70187563 - 2015 - Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","interactions":[],"lastModifiedDate":"2020-12-18T15:12:08.313004","indexId":"70187563","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5389,"text":"Journal of South Carolina Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","docAbstract":"

Managers of large river basins face conflicting demands for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin, for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting dependent economies for years. The Savannah River estuary contains two municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor to expand ship traffic since the 1970s have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent. A planned deepening of the harbor includes flow-alteration features to minimize further migration of salinity, whose effectiveness will only be known after all construction is completed.

One of the challenges of large basin management is the optimization of water use through ongoing regional economic development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to substantially reduce salinity intrusions in the Savannah National Wildlife Refuge, while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated.

","language":"English","publisher":"Institute of Computational Ecology","publisherLocation":"Clemson, SC","doi":"10.34068/JSCWR.02.03","usgsCitation":"Roehl, E.A., and Conrads, P., 2015, Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin: Journal of South Carolina Water Resources, v. 2, no. 1, p. 16-23, https://doi.org/10.34068/JSCWR.02.03.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-066414","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.34068/jscwr.02.03","text":"Publisher Index Page"},{"id":381502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Savannah River 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Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":694574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189946,"text":"70189946 - 2015 - Baseline and premining geochemical characterization of mined sites","interactions":[],"lastModifiedDate":"2017-07-31T13:35:46","indexId":"70189946","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Baseline and premining geochemical characterization of mined sites","docAbstract":"

A rational goal for environmental restoration of new, active, or inactive mine sites would be ‘natural background’ or the environmental conditions that existed before any mining activities or other related anthropogenic activities. In a strictly technical sense, there is no such thing as natural background (or entirely non-anthropogenic) existing today because there is no part of the planet earth that has not had at least some chemical disturbance from anthropogenic activities. Hence, the terms ‘baseline’ and ‘pre-mining’ are preferred to describe these conditions. Baseline conditions are those that existed at the time of the characterization which could be pre-mining, during mining, or post-mining. Protocols for geochemically characterizing pre-mining conditions are not well-documented for sites already mined but there are two approaches that seem most direct and least ambiguous. One is characterization of analog sites along with judicious application of geochemical modeling. The other is reactive-transport modeling (based on careful synoptic sampling with tracer-injection) and subtracting inputs from known mining and mineral processing. Several examples of acidic drainage are described from around the world documenting the range of water compositions produced from pyrite oxidation in the absence of mining. These analog sites provide insight to the processes forming mineralized waters in areas untouched by mining. Natural analog water-chemistry data is compared with the higher metal concentrations, metal fluxes, and weathering rates found in mined areas in the few places where comparisons are possible. The differences are generally 1–3 orders of magnitude higher for acid mine drainage.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.010","usgsCitation":"Nordstrom, D.K., 2015, Baseline and premining geochemical characterization of mined sites: Applied Geochemistry, v. 57, p. 17-34, https://doi.org/10.1016/j.apgeochem.2014.12.010.","productDescription":"18 p.","startPage":"17","endPage":"34","ipdsId":"IP-061799","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789358","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":706847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148141,"text":"sir20155074 - 2015 - Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2016-02-17T12:18:48","indexId":"sir20155074","displayToPublicDate":"2015-06-15T13:45:00","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":"2015-5074","title":"Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","docAbstract":"

Nutrients such as nitrogen and phosphorus are important for aquatic ecosystem health. Excessive amounts of nutrients, however, can make aquatic ecosystems harmful for biota because enhanced growth and decay cycles of aquatic algae can reduce dissolved oxygen in the water. In Puget Sound marine waters, low dissolved oxygen concentrations are observed in a number of marine nearshore areas, and nutrients have been identified as a major stressor to the local ecosystem. Delivery of nutrients from major rivers in the Puget Sound Basin to the marine environment can be large. Therefore, it is important to identify factors related to how nutrients are retained (attenuated) within streams and rivers in the Puget Sound Basin. Physical, chemical, and biological factors related to nutrient attenuation were identified through a review of related scientific literature.

\n

Numerous empirical modeling approaches for estimating nutrient attenuation in streams and rivers also were compiled, and a subset of these models was applied to the Puget Sound Basin. In particular, models based on the physical characteristics of a river reach (RivR-N model) and on the physical and biological features of a river reach (vf model) were used and compared for the 17 major rivers draining to the Puget Sound. Data on the relative amount of instream attenuation (the fraction of nutrient input removed per kilometer of stream reach) showed some common and general themes. Firstly, headwater reaches throughout the Puget Sound Basin tend to be better than the main stems of the major rivers at attenuating nitrate and orthophosphorus (ortho-P). Secondly, rivers are more efficient at attenuating nitrate than ortho-P, probably because of the close relation between phosphorus and suspended sediment, which was not captured fully in the models. Thirdly, when comparing the RivR-N and vf models for nitrate, physical characteristics of the channel may be more effective predictors of relative nitrate attenuation for main stem reaches, whereas biological factors may be more effective predictors in headwater reaches. These results are explained in terms of four primary factors of attenuation: sinuosity, channel slope, specific discharge, and uptake velocity (vf) of the reach.

\n

A simple scoring procedure based on these four factors showed that reaches where attenuation scores were high had higher relative attenuation of nutrients from the RivR-N and vf models. This attenuation \"scorecard\" can be used to quickly assess the potential for a given reach to attenuate nutrients. Seasonal relative attenuation at three case studies was greater in summer months (July through September) and much lower and almost constant from January through June. An analysis of relative attenuation across a range of nutrient concentrations showed that, at some point, relative instream attenuation is minimized. For nitrate, relative attenuation reached a minimum value greater than 3 milligrams of nitrogen per liter (mg N/L) during low flow and 1 mg N/L during high flow. For orthophosphate, minimum relative attenuation was observed at about 0.1 milligram of phosphorus per liter (mg P/L) for both low- and high-flow conditions. Generally, the temporal dynamics of nutrient attenuation are dependent on the travel time through a given reach, the proportion of flow in contact with the sediment, and the amount of biological activity. Improved understanding of nutrient attenuation in Puget Sound Basin will benefit from the compilation of more detailed data for specific discharge, channel slope, and channel sinuosity in Puget Sound streams and rivers. Additionally, field studies examining upstream-downstream changes in nutrient load and field-based measurements of vf are needed.

\n

From a management perspective, preservation and improvement of instream nutrient attenuation should focus on increasing the travel time through a reach and contact time of water sediment (reactive) surfaces and lowering nutrient concentrations (and loads) to avoid saturation of instream attenuation and increase attenuation efficiency. These goals can be reached by maintaining and restoring channel-flood plain connectivity, maintaining and restoring healthy riparian zones along streams, managing point and nonpoint nutrient loads to streams and rivers, and restoring channel features that promote attenuation such as the addition of woody debris and maintaining pool-riffle morphologies. Many of these management approaches are already being undertaken during projects aimed to restore quality salmon habitat. Therefore, there is a dual benefit to these projects that also may lead to enhanced potential for nitrogen and phosphorus attenuation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155074","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Sheibley, R.W., Konrad, C.P., and Black, R.W., 2015, Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington (Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016): U.S. Geological Survey Scientific Investigations Report 2015-5074, vii, 67 p., https://doi.org/10.3133/sir20155074.","productDescription":"vii, 67 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061211","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":301233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155074.PNG"},{"id":301231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5074/"},{"id":301232,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5074/pdf/sir20155074.pdf","text":"Report","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5074 Report"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87109375,\n 48.980216985374994\n ],\n [\n -122.58544921875,\n 48.58932584966972\n ],\n [\n -123.00292968749999,\n 48.38544219115486\n ],\n [\n -123.00292968749999,\n 48.10743118848039\n ],\n [\n -123.92578125,\n 48.21003212234042\n ],\n [\n -124.34326171874999,\n 48.3416461723746\n ],\n [\n -124.71679687499999,\n 48.45835188280866\n ],\n [\n -124.87060546874999,\n 48.1367666796927\n ],\n [\n -124.62890625,\n 47.76886840424207\n ],\n [\n -124.49707031249999,\n 47.487513008956554\n ],\n [\n -124.34326171874999,\n 47.15984001304432\n ],\n [\n -124.23339843749999,\n 46.89023157359399\n ],\n [\n -124.16748046874999,\n 46.63435070293566\n ],\n [\n -124.1455078125,\n 46.28622391806708\n ],\n [\n -119.2236328125,\n 46.27103747280261\n ],\n [\n -119.13574218749999,\n 48.980216985374994\n ],\n [\n -122.87109375,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557fe91be4b023124e8ef92c","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173551,"text":"70173551 - 2015 - Sampling techniques for burbot in a western non-wadeable river","interactions":[],"lastModifiedDate":"2016-06-13T16:22:40","indexId":"70173551","displayToPublicDate":"2015-06-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sampling techniques for burbot in a western non-wadeable river","docAbstract":"

Burbot, Lota lota (L.), populations are declining throughout much of their native distribution. Although numerous aspects of burbot ecology are well understood, less is known about effective sampling techniques for burbot in lotic systems. Occupancy models were used to estimate the probability of detection (\"inline) for three gears (6.4- and 19-mm bar mesh hoop nets, night electric fishing), within the context of various habitat characteristics. During the summer, night electric fishing had the highest estimated detection probability for both juvenile (\"inline, 95% C.I.; 0.35, 0.26–0.46) and adult (0.30, 0.20–0.41) burbot. However, small-mesh hoop nets (6.4-mm bar mesh) had similar detection probabilities to night electric fishing for both juvenile (0.26, 0.17–0.36) and adult (0.27, 0.18–0.39) burbot during the summer. In autumn, a similar overlap between detection probabilities was observed for juvenile and adult burbot. Small-mesh hoop nets had the highest estimated probability of detection for both juvenile and adult burbot (0.46, 0.33–0.59), whereas night electric fishing had a detection probability of 0.39 (0.28–0.52) for juvenile and adult burbot. By using detection probabilities to compare gears, the most effective sampling technique can be identified, leading to increased species detections and more effective management of burbot.

","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/fme.12118","usgsCitation":"Klein, Z.B., Quist, M.C., Rhea, D., and Senecal, A., 2015, Sampling techniques for burbot in a western non-wadeable river: Fisheries Management and Ecology, v. 22, no. 3, p. 213-223, https://doi.org/10.1111/fme.12118.","productDescription":"11 p.","startPage":"213","endPage":"223","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-21","publicationStatus":"PW","scienceBaseUri":"575fd930e4b04f417c2baa73","contributors":{"authors":[{"text":"Klein, Z. B.","contributorId":171782,"corporation":false,"usgs":false,"family":"Klein","given":"Z.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, D.T.","contributorId":90930,"corporation":false,"usgs":true,"family":"Rhea","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":638624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senecal, A. C.","contributorId":171783,"corporation":false,"usgs":false,"family":"Senecal","given":"A. C.","affiliations":[],"preferred":false,"id":638625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148425,"text":"ds938 - 2015 - Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","interactions":[],"lastModifiedDate":"2015-06-12T08:55:55","indexId":"ds938","displayToPublicDate":"2015-06-12T09:45:00","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":"938","title":"Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","docAbstract":"

The water gun is a tool adapted from deep marine geophysical surveys that is being evaluated for use as an acoustic fish deterrent to control the movement of invasive marine species. The water gun creates a seismic signal by using a compressed air discharge to move a piston rapidly within the water, resulting in an implosion. This energy pulse may be able to modify fish behavior or destroy marine life, such as the Asian carp, at some distance. The effects of this energy pulse on structures in the Chicago Sanitary and Ship Canal (CSSC), such as canal walls, shore lines, and lock structures, are not known. The potential effects of the use of a water gun on structures was identified as a concern in the CSSC and was assessed relative to existing background sources during this study. During September 2011, two water guns with piston sizes of 80 and 343 cubic inches, respectively, were tested in the CSSC at varying pressures and distances from a canal wall consisting of dolomite and dolomite setblock. Seismic data were collected during these water gun firings using geophones on land, in boreholes, and at the canal wall interface. Data were collected at varying depths in the canal water using hydrophones. Seismic data were also collected during the occurrences of barge traffic, railroad traffic located near the electric fish barrier in Lemont, and coal-loading operations at a coal power plant near the electric fish barrier. In general, energy produced by barge and railroad sources was less than energy created by the water gun. Energy levels produced by coal-loading operations at least 200 feet from geophones were approximately four times lower than energy levels measured during water gun operations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds938","usgsCitation":"Morrow, W.S., Carpenter, P.J., and Adams, R.F., 2015, Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011: U.S. Geological Survey Data Series 938, Report: iv, 23 p.; Downloads Directory, https://doi.org/10.3133/ds938.","productDescription":"Report: iv, 23 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-036766","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds938.jpg"},{"id":301175,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0938/"},{"id":301176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0938/pdf/ds938.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301177,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0938/downloads","text":"Downloads Directory","linkHelpText":"Contains water gun and industrial background data files that were collected in September, October, and November 2011. Seismic data can be accessed through standard geophysical software capable of reading SEG-2 files. Software capable of reading SEG-2 format is also freely available and documented in U.S. Geological Survey (USGS) Open-File Report 03-141 (Ellefsen, 2003), available at http://pubs.usgs.gov/of/2003/ofr-03-141. Other open-source software, such as Geopsy​ ​(available at ​​http://www.geopsy.org)​,​ are available to read SEG-2 formatted data."}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07464599609375,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.63545984052713\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4ace4b023124e8eddef","contributors":{"authors":[{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Phillip J.","contributorId":141062,"corporation":false,"usgs":false,"family":"Carpenter","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":548196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144268,"text":"sir20155025 - 2015 - Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","interactions":[],"lastModifiedDate":"2016-08-05T12:01:51","indexId":"sir20155025","displayToPublicDate":"2015-06-12T09:30:00","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":"2015-5025","title":"Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","docAbstract":"

In winter 2011–12 and summer 2012, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Albuquerque District and the U.S. Fish and Wildlife Service New Mexico Fish and Wildlife Conservation Office in Albuquerque, New Mexico, evaluated the physical characteristics and fish assemblage composition of available mesohabitats over a range of streamflows at 15 sites on the Middle Rio Grande in New Mexico. The fish assemblage of the Middle Rio Grande includes several minnow species adapted to hydrologically variable but seasonably predictable rivers, including theHybognathus amarus (Rio Grande silvery minnow), a federally listed endangered species. Gaining a better understanding of habitat usage by the Rio Grande silvery minnow was the impetus for studying physical characteristics and fish assemblages in the Middle Rio Grande during different streamflow conditions. Data were collected at all 15 sites during winter 2011–12 (moderate streamflow), and a subset was collected at the 13 most downstream sites in summer 2012 (low streamflow). Sites were grouped into four river reaches separated by diversion dams listed in downstream order (names of the diversion dams are followed by short names of the sites nearest each dam in parentheses, listed in downstream order): (1) Cochiti (Peña Blanca), (2) Angostura (Bernalillo, La Orilla, Barelas, Los Padillas), (3) Isleta (Los Lunas I, Los Lunas II, Abeytas, La Joya, Rio Salado), and (4) San Acacia (Lemitar, Arroyo del Tajo, San Pedro, Bosque del Apache I, and Bosque del Apache II). Stream habitat was mapped in the field by using a geographic information system in conjunction with a Global Positioning System. Fish assemblage composition was determined during both streamflow regimes, and fish were collected by seining in each mesohabitat where physical characteristic data (depth, velocity, dominant substrate type and size, and percent embeddedness) and water-quality properties (temperature, dissolved oxygen, specific conductance, and pH; during summer 2012 only) were measured.

\n

Nineteen species of fish were collected among the 15 sites and four reaches over both sampling periods; 10 of these 19 species are introduced. Fish-species richness (total number of fish species collected at each site during each sampling event) among sites that were sampled during both sampling periods ranged from 6 at Rio Salado to 12 at La Orilla. Fish were most abundant at the Lemitar site (1,786 individuals) and least abundant at the San Pedro site (275 individuals). The native Cyprinella lutrensis (red shiner) was the most abundant species collected among all of the sites, accounting for about 42 percent of fish collected. Fish-species richness and catch per unit effort (CPUE) were higher (or equivalent) at all sites during summer 2012 compared to winter 2011–12.

\n

The relations between fish assemblage composition (that is, total abundance, which refers to the number of individuals of each species that were collected) and selected environmental variables (physical characteristic data collected at the mesohabitat scale [depth, velocity, and substrate particle size], and mesohabitat types) were explored by using canonical correspondence analysis. Environmental variables explained 8 percent (p=0.48) of the variability in the Middle Rio Grande fish assemblage during winter 2011–12, and Rio Grande silvery minnow were weakly associated with sand substrates, relatively moderate velocities (qualitative descriptors are derived from synthetic gradients extracted from CCAs), and relatively shallow depths. Environmental variables explained 14 percent (p < 0.01) of the variability in the Middle Rio Grande fish assemblage during summer 2012, when Rio Grande silvery minnow were associated with run mesohabitats, relatively high velocities, sand substrates, and relatively moderate depths.

\n

The mean fish-species richness was greater in summer 2012 than in winter 2011–12 for each mesohabitat type, and the overall fish-species richness across all mesohabitat types was 0.62 during winter 2011–12, compared to 1.49 during summer 2012. The highest mean CPUE during winter 2011–12 was in isolated pools (54.3 fish per 100 square meters [m2]), whereas the lowest was in flats (18.9 fish per 100 m2). Ranges in CPUE were higher in summer 2012 relative to winter 2011–12 in each mesohabitat type sampled. As in winter 2011–12, the highest mean CPUE during summer 2012 was in isolated pools (233 fish per 100 m2), whereas the lowest was in flats (29.6 fish per 100 m2). Overall mean CPUE per mesohabitat across all mesohabitat types was 29.1 fish per 100 m2 during winter 2011–12 compared to 85.3 fish per 100 m2 during summer 2012.

\n

Four species of minnows (red shiner, Rio Grande silvery minnow, Pimephales promelas [fathead minnow], and Platygobio gracilis[flathead chub]) were selected to compare preferred mesohabitat characteristics because all are small-bodied minnows and because more than 200 individuals of each of these species were collected. Red shiner were collected across the largest range of depths in both winter 2011–12 (0.02–4.31 feet [ft]) and summer 2012 (0.05–3.4 ft), as well as the largest range of velocities (0.0–4.31 feet per second [ft/s]) during winter 2011–12 among the four minnow species of interest. Rio Grande silvery minnow occurred in the narrowest range of depths (0.30–2.1 ft) during summer 2012, as well as the narrowest range of velocities in both winter 2011–12 (0.0–3.18 ft/s) and summer 2012 (0.02–1.51 ft/s).

\n

Water-quality properties were only collected during summer 2012, when low-streamflow conditions existed and water-quality properties were thought to be potentially most limiting to aquatic life. Area-weighted mean water temperatures tended to be higher at the sites that were sampled in August 2012 (25.57 degrees Celsius [°C]) compared to June 2012 (24.61 °C). The highest area-weighted mean water temperature at a given site (29.03 °C) was measured at the Lemitar site on August 7, 2012, coincident with the lowest measured discharge (4.13 cubic feet per second [ft3/s]). Area-weighted mean dissolved oxygen concentrations tended to be lower in August (7.46 milligrams per liter [mg/L]) compared to June (8.33 mg/L). The highest area-weighted mean dissolved oxygen concentration (9.13 mg/L) was measured at the Lemitar site on August 7, 2012, and the lowest area-weighted mean dissolved oxygen concentration (6.23 mg/L) was measured at the Los Padillas site on August 10, 2012. Area-weighted specific conductance in the sites upstream from La Joya did not exceed 400 microsiemens per centimeter (μS/cm) at 25 °C, whereas the area-weighted mean specific conductance at La Joya (837 μs/cm at 25 °C), Rio Salado (857 μs/cm at 25 °C), and Lemitar (1,300 μs/cm at 25 °C) were all well above the average of the area-weighted means for the 10 remaining sites (433 μs/cm at 25 °C). Lower area-weighted mean pH values were measured at the 3 sites in and near Albuquerque (La Orilla, Barelas, and Los Padillas—7.98, 8.08, and 7.81, respectively) compared to any of the 10 remaining sites, which had an overall mean pH of 8.44.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155025","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Albuquerque District, and the U.S. Fish and Wildlife Service","usgsCitation":"Braun, C.L., Pearson, D., Porter, M., and Moring, J.B., 2015, Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012: U.S. Geological Survey Scientific Investigations Report 2015-5025, Report: viii, 90 p.; Downloads Directory, https://doi.org/10.3133/sir20155025.","productDescription":"Report: viii, 90 p.; Downloads Directory","startPage":"90","numberOfPages":"102","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056792","costCenters":[{"id":583,"text":"Texas Water Science 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The Coastal Plain of the southeastern United States has extensive, unconsolidated sedimentary deposits that are enriched in heavy minerals containing titanium, zirconium, and rare earth element resources. Areas favorable for exploration and development of these resources are being identified by geochemical data, which are supplemented with geological, geophysical, hydrological, and geographical data. The first steps of this analysis have been completed. The concentrations of lanthanum, yttrium, and titanium tend to decrease as distance from the Piedmont (which is the likely source of these resources) increases and are moderately correlated with airborne measurements of equivalent thorium concentration. The concentrations of lanthanum, yttrium, and titanium are relatively high in those watersheds that adjoin the Piedmont, south of the Cape Fear Arch. Although this relation suggests that the concentrations are related to the watersheds, it may be simply an independent regional trend. The concentration of zirconium is unrelated to the distance from the Piedmont, the equivalent thorium concentration, and the watershed. These findings establish a foundation for more sophisticated analyses using integrated spatial modeling.

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The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic study to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago de Matrullas Dam, located within the headwaters of the Río Grande de Manatí. The hydrologic study yielded outflow hydrographs and peak discharges for Lago de Matrullas and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation (PMP) event, (2) a 24-hour PMP event, and (3) a 100-year-recurrence, 24-hour rainfall event. The hydraulic study simulated the hypothetical dam failure of Lago de Matrullas using hypothetical flood hydrographs generated from the hydrologic study and selected dam breach parameters. The flood wave resulting from the failure was downstream-routed through the lower reaches of the Río Matrullas, the Río Toro Negro, and the Río Grande de Manatí for determination of water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” (no precipitation) conditions. The Hydrologic Modeling System (HEC–HMS) and the River Analysis System (HEC–RAS) computer programs, developed by the Hydrologic Engineering Center (HEC) of the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was performed using the unsteady-state flow module available in the HEC–RAS model.

\n

At the Lago de Matrullas Dam, inflow peak discharges of about 1,104 and 1,032 cubic meters per second (m3/s) were estimated with HEC–HMS for the 6- and 24-hour PMP events, respectively. The 100-year recurrence, 24-hour rainfall event simulation resulted in a peak discharge of about 418 m3/s. For the hydrologic analysis, no dam failure conditions were considered with the model. The results of the hydrologic simulations indicated, however, that the dam would be overtopped by the simulated 6- and 24-hour PMP events. Unlike the 6- and 24-hour PMP events, no overtopping was observed during the simulated 100-year recurrence, 24-hour rainfall event.

\n

For the dam-breach hydraulic analysis, the hypothetical failures of the Lago de Matrullas Dam included two possible failure modes: overtopping and piping. Overtopping failure was evaluated in this study for the 6- and 24- hour probable-maximum-precipitation breach scenarios. Piping dam failure was simulated for sunny day conditions and for the 100-year-recurrence, 24-hour rainfall scenario.

\n

Results from the simulated dam failure of the Lago de Matrullas Dam using the HEC–RAS model for the 6- and 24-hour PMP events showed peak discharges at the dam of 3,149.33 and 3,604.70 m3/s, respectively. Dam failure during the 100-year-recurrence, 24-hour rainfall event resulted in a peak discharge of 2,103.12 m3/s directly downstream from the dam. Dam failure under sunny day conditions produced a peak discharge of 1,695.91 m3/s at the dam assuming the antecedent lake level was at the morning-glory spillway invert elevation. Flood-inundation maps prepared as part of the study depict the flood extent and provide valuable information for preparing an Emergency Action Plan. Results of the failure analysis indicate that a failure of the Lago de Matrullas Dam could cause flooding to many of the inhabited areas along stream banks from the Lago de Matrullas Dam to the mouth of the Río Grande de Manatí. Among the areas most affected are the low-lying regions in the vicinity of the towns of Ciales, Manatí, and Barceloneta. The delineation of the flood boundaries near the town of Barceloneta considered the effects of a levee constructed during 2000 at Barceloneta in the flood plain of the Río Grande de Manatí to provide protection against flooding to the near-by low-lying populated areas. The results showed overtopping can be expected in the aforementioned levee during 6- and 24-hour probable-maximum-precipitation dam failure scenarios. No overtopping of the levee was simulated, however, during dam failure scenarios under the 100-year recurrence, 24-hour rainfall event or sunny day conditions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155065","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Torres-Sierra, H., and Gómez-Fragoso, J., 2015, Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2015-5065, Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches, https://doi.org/10.3133/sir20155065.","productDescription":"Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-023008","costCenters":[{"id":156,"text":"Caribbean Water Science 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This map is an interpretation of a 6-ft-resolution lidar-derived digital elevation model combined with geology by Derek B. Booth and Kathy Goetz Troost. Field work by Booth and Troost was located on the 1:24,000-scale topographic map of the Vashon and Des Moines 7.5' quadrangles that were published in 1997 and 1995, respectively. Much of the geology was interpreted from landforms portrayed on the topographic maps, supplemented by field exposures, where available. In 2001, the Puget Sound Lidar Consortium (see http://pugetsoundlidar.org/) obtained a lidar-derived digital elevation model (DEM) for Vashon Island and the Des Moines quadrangle. For a brief description of lidar and this data acquisition program, see Haugerud and others (2003). This new DEM has a horizontal resolution of 6 ft (1.83 m) and mean vertical accuracy of about 1 ft (about 0.3 m). The greater resolution and accuracy of the lidar DEM facilitated a much-improved interpretation of many aspects of the surficial geology, especially the distribution and relative age of landforms and the materials inferred to comprise them. Booth and Troost were joined by Tabor to interpret the new lidar DEM but have done no futher field work for this map.

\n

This map, the Vashon quadrangle and selected adjacent areas, encompasses most of Vashon Island, Maury Island, and Three Tree Point in the south-central Puget Sound. One small area in the Vashon quadrangle on the east side of Puget Sound is excluded from this map but included on the adjacent Seattle quadrangle (Booth and others, 2005). The map displays a wide variety of surficial geologic deposits, which reflect many geologic environments and processes. Multiple ice-sheet glaciations and intervening nonglacial intervals have constructed a complexly layered sequence of deposits that underlie both islands to a depth of more than 300 m below sea level. These deposits not only record glacial and nonglacial history but also control the flow and availability of ground water, determine the susceptibility of the slopes to landslides, and provide economic reserves of sand and gravel. The islands are surrounded by channels of Puget Sound, some as deep as the islands are high (>600 ft (~200 m)). The shorelines provide many kilometers of well-exposed coastal outcrops that reveal abundant lithologic and stratigraphic details not ordinarily displayed in the heavily vegetated Puget Lowland.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3328","collaboration":"Prepared in cooperation with King County, Washington","usgsCitation":"Booth, D.B., Troost, K.G., and Tabor, R.W., 2015, Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington: U.S. Geological Survey Scientific Investigations Map 3328, Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata, https://doi.org/10.3133/sim3328.","productDescription":"Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049122","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":301167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3328.gif"},{"id":301150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3328/"},{"id":301165,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3328/downloads/vashgeol-genmd.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301164,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3328/sim_3328_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_map.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"Map"},{"id":301163,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim3328_database.zip","text":"Database","linkFileType":{"id":6,"text":"zip"},"description":"Database","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":301162,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":398999,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103699.htm"}],"scale":"24000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Washington","county":"King County","otherGeospatial":"Maury Island, Puget Sound, Three Tree Point, Vashon Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5,\n 47.375\n ],\n [\n -122.5,\n 47.5125\n ],\n [\n -122.3708,\n 47.5125\n ],\n [\n -122.3708,\n 47.375\n ],\n [\n -122.5,\n 47.375\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4aae4b023124e8eddeb","contributors":{"authors":[{"text":"Booth, Derek B.","contributorId":100873,"corporation":false,"usgs":false,"family":"Booth","given":"Derek","email":"","middleInitial":"B.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troost, Kathy Goetz","contributorId":127391,"corporation":false,"usgs":false,"family":"Troost","given":"Kathy","email":"","middleInitial":"Goetz","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tabor, Rowland W. rtabor@usgs.gov","contributorId":3816,"corporation":false,"usgs":true,"family":"Tabor","given":"Rowland","email":"rtabor@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159691,"text":"70159691 - 2015 - Quantifying water flow and retention in an unsaturated fracture-facial domain","interactions":[],"lastModifiedDate":"2016-06-28T16:04:04","indexId":"70159691","displayToPublicDate":"2015-06-12T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Quantifying water flow and retention in an unsaturated fracture-facial domain","docAbstract":"

Hydrologically significant flow and storage of water occur in macropores and fractures that are only partially filled. To accommodate such processes in flow models, we propose a three-domain framework. Two of the domains correspond to water flow and water storage in a fracture-facial region, in addition to the third domain of matrix water. The fracture-facial region, typically within a fraction of a millimeter of the fracture wall, includes a flowing phase whose fullness is determined by the availability and flux of preferentially flowing water, and a static storage portion whose fullness is determined by the local matric potential. The flow domain can be modeled with the source-responsive preferential flow model, and the roughness-storage domain can be modeled with capillary relations applied on the fracture-facial area. The matrix domain is treated using traditional unsaturated flow theory. We tested the model with application to the hydrology of the Chalk formation in southern England, coherently linking hydrologic information including recharge estimates, streamflow, water table fluctuation, imaging by electron microscopy, and surface roughness. The quantitative consistency of the three-domain matrix-microcavity-film model with this body of diverse data supports the hypothesized distinctions and active mechanisms of the three domains and establishes the usefulness of this framework.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fluid dynamics in complex fractured-porous systems","language":"English","publisher":"Wiley","doi":"10.1002/9781118877517.ch12","usgsCitation":"Nimmo, J.R., and Malek-Mohammadi, S., 2015, Quantifying water flow and retention in an unsaturated fracture-facial domain, chap. of Fluid dynamics in complex fractured-porous systems, p. 169-182, https://doi.org/10.1002/9781118877517.ch12.","productDescription":"14 p.","startPage":"169","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054366","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":324559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-12","publicationStatus":"PW","scienceBaseUri":"57739fb5e4b07657d1a90d33","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malek-Mohammadi, Siamak","contributorId":149944,"corporation":false,"usgs":false,"family":"Malek-Mohammadi","given":"Siamak","email":"","affiliations":[{"id":17862,"text":"Bradley University","active":true,"usgs":false}],"preferred":false,"id":580105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048249,"text":"70048249 - 2015 - The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","interactions":[],"lastModifiedDate":"2020-06-12T14:38:58.06431","indexId":"70048249","displayToPublicDate":"2015-06-11T12:48:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","docAbstract":"

Laguna Mar Chiquita (central Argentina; ~latitude 31°S, longitude 63°W) provides an outstanding opportunity to examine organic facies development and petroleum source-rock potential in a modern thick-skinned foreland basin lake. In this case study, we define profundal, paleodelta, and lake-margin depositional environments based on trends in bathymetry and lake-floor sediment particle size. Sedimentary geochemical analyses indicate that organic carbon–rich muds accumulate in profundal environments during the extant lake-level highstand. The lateral variability of organic facies is minimal. The quality of organic facies is controlled by lake level and depositional environment, both of which dictate patterns of algal productivity, siliciclastic dilution, and early diagenesis. We present conceptual models of lacustrine source rocks in both thick-skinned and thin-skinned foreland basins based on modern analog data from both Laguna Mar Chiquita and other lakes in the central Andean foreland. Over relatively short time intervals (102–104 yr), climatically driven water-level fluctuations influence the source-rock potential of these basins. Over time intervals >105 yr, contraction and lateral migration of the basin flexural profile control stratal stacking patterns and the potential for hydrocarbon play development.

","language":"English","publisher":"GSA","doi":"10.1130/2015.2515(01)","usgsCitation":"McGlue, M.M., Ellis, G., and Cohen, A.S., 2015, The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland: GSA Special Papers, v. 515, p. 1-18, https://doi.org/10.1130/2015.2515(01).","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-043051","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Laguna Mar Chiquita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.19287109375,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -32.30570601389429\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"515","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGlue, Michael M mmcglue@usgs.gov","contributorId":225231,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M","affiliations":[],"preferred":true,"id":790791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":225232,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey S","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":790792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":790793,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70160110,"text":"70160110 - 2015 - Linear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data","interactions":[],"lastModifiedDate":"2015-12-11T15:27:53","indexId":"70160110","displayToPublicDate":"2015-06-10T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Linear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data","docAbstract":"

Modern operational forest inventory often uses remotely sensed data that cover the whole inventory area to produce spatially explicit estimates of forest properties through statistical models. The data obtained by airborne light detection and ranging (LiDAR) correlate well with many forest inventory variables, such as the tree height, the timber volume, and the biomass. To construct an accurate model over thousands of hectares, LiDAR data must be supplemented with several hundred field sample measurements of forest inventory variables. This can be costly and time consuming. Different LiDAR-data-based and spatial-data-based sampling designs can reduce the number of field sample plots needed. However, problems arising from the features of the LiDAR data, such as a large number of predictors compared with the sample size (overfitting) or a strong correlation among predictors (multicollinearity), may decrease the accuracy and precision of the estimates and predictions. To overcome these problems, a Bayesian linear model with the singular value decomposition of predictors, combined with regularization, is proposed. The model performance in predicting different forest inventory variables is verified in ten inventory areas from two continents, where the number of field sample plots is reduced using different sampling designs. The results show that, with an appropriate field plot selection strategy and the proposed linear model, the total relative error of the predicted forest inventory variables is only 5%–15% larger using 50 field sample plots than the error of a linear model estimated with several hundred field sample plots when we sum up the error due to both the model noise variance and the model’s lack of fit.

","language":"English","publisher":"IEEE","publisherLocation":"New York","doi":"10.1109/TGRS.2015.2425916","issn":"01962892","usgsCitation":"Junttila, V., Kauranne, T., Finley, A., and Bradford, J.B., 2015, Linear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data: IEEE Transactions on Geoscience and Remote Sensing, v. 53, no. 10, p. 5600-5612, https://doi.org/10.1109/TGRS.2015.2425916.","productDescription":"13 p.","startPage":"5600","endPage":"5612","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043945","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":312193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312171,"type":{"id":15,"text":"Index Page"},"url":"https://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7108001"}],"volume":"53","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566c01ebe4b09cfe53ca5aee","contributors":{"authors":[{"text":"Junttila, Virpi","contributorId":103547,"corporation":false,"usgs":true,"family":"Junttila","given":"Virpi","email":"","affiliations":[],"preferred":false,"id":581932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauranne, Tuomo","contributorId":75037,"corporation":false,"usgs":true,"family":"Kauranne","given":"Tuomo","email":"","affiliations":[],"preferred":false,"id":581931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":581930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":581929,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148420,"text":"sim3330 - 2015 - Bathymetric survey of Lake Calumet, Cook County, Illinois","interactions":[],"lastModifiedDate":"2015-09-04T09:24:52","indexId":"sim3330","displayToPublicDate":"2015-06-10T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3330","title":"Bathymetric survey of Lake Calumet, Cook County, Illinois","docAbstract":"

The U.S. Geological Survey collected bathymetric data in Lake Calumet and a portion of the Calumet River in the vicinity of Lake Calumet to produce a bathymetric map. The bathymetric survey was made over 3 days (July 26, September 11, and November 7, 2012). Lake Calumet has become a focus area for Asian carp rapid-response efforts by state and federal agencies, and very little bathymetric data existed prior to this survey. This bathymetric survey provides data for a variety of scientific and engineering studies of the area; for example, hydraulic modeling of water and sediment transport from Lake Calumet to the Calumet River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3330","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Duncker, J.J., Johnson, K.K., and Sharpe, J.B., 2015, Bathymetric survey of Lake Calumet, Cook County, Illinois: U.S. Geological Survey Scientific Investigations Map 3330, 1 sheet, https://doi.org/10.3133/sim3330.","productDescription":"1 sheet","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042792","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3330.jpg"},{"id":301132,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3330/"},{"id":301133,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3330/pdf/sim3330.pdf","text":"SIM 3330","size":"80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Illinois","county":"Cook County","otherGeospatial":"Lake Calumet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.60068893432617,\n 41.66284553398066\n ],\n [\n -87.60068893432617,\n 41.687912152121875\n ],\n [\n -87.57777214050293,\n 41.687912152121875\n ],\n [\n -87.57777214050293,\n 41.66284553398066\n ],\n [\n -87.60068893432617,\n 41.66284553398066\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951afe4b032353cc173ef","contributors":{"authors":[{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155002,"text":"70155002 - 2015 - Organic carbon burial in lakes and reservoirs of the conterminous United States","interactions":[],"lastModifiedDate":"2018-08-09T12:49:27","indexId":"70155002","displayToPublicDate":"2015-06-10T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Organic carbon burial in lakes and reservoirs of the conterminous United States","docAbstract":"

Organic carbon (OC) burial in lacustrine sediments represents an important sink in the global carbon cycle; however, large-scale OC burial rates are poorly constrained, primarily because of the sparseness of available data sets. Here we present an analysis of OC burial rates in water bodies of the conterminous U.S. (CONUS) that takes advantage of recently developed national-scale data sets on reservoir sedimentation rates, sediment OC concentrations, lake OC burial rates, and water body distributions. We relate these data to basin characteristics and land use in a geostatistical analysis to develop an empirical model of OC burial in water bodies of the CONUS. Our results indicate that CONUS water bodies sequester 20.8 (95% CI: 9.4–65.8) Tg C yr–1, and spatial patterns in OC burial are strongly influenced by water body type, size, and abundance; land use; and soil and vegetation characteristics in surrounding areas. Carbon burial is greatest in the central and southeastern regions of the CONUS, where cultivation and an abundance of small water bodies enhance accumulation of sediment and OC in aquatic environments.

","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b00373","usgsCitation":"Clow, D.W., Stackpoole, S.M., Verdin, K.L., Butman, D.E., Zhu, Z., Krabbenhoft, D.P., and Striegl, R.G., 2015, Organic carbon burial in lakes and reservoirs of the conterminous United States: Environmental Science & Technology, v. 49, no. 13, p. 7614-7622, https://doi.org/10.1021/acs.est.5b00373.","productDescription":"9 p.","startPage":"7614","endPage":"7622","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064948","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"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":305957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n","volume":"49","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-22","publicationStatus":"PW","scienceBaseUri":"55b361b5e4b09a3b01b5dab1","chorus":{"doi":"10.1021/acs.est.5b00373","url":"http://dx.doi.org/10.1021/acs.est.5b00373","publisher":"American Chemical Society (ACS)","authors":"Clow David W., Stackpoole Sarah M., Verdin Kristine L., Butman David E., Zhu Zhiliang, Krabbenhoft David P., Striegl Robert G.","journalName":"Environmental Science & Technology","publicationDate":"7/7/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science 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0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":564542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":564543,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148495,"text":"70148495 - 2015 - The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park","interactions":[],"lastModifiedDate":"2015-06-11T10:27:58","indexId":"70148495","displayToPublicDate":"2015-06-10T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park","docAbstract":"

Tree mortality is a vital component of forest management in the context of prescribed fires; however, few studies have examined the effect of prefire tree health on postfire mortality. This is especially relevant for sugar pine (Pinus lambertiana Douglas), a species experiencing population declines due to a suite of anthropogenic factors. Using data from an old-growth mixed-conifer forest in Sequoia National Park, we evaluated the effects of fire, tree size, prefire radial growth, and crown condition on postfire mortality. Models based only on tree size and measures of fire damage were compared with models that included tree size, fire damage, and prefire tree health (e.g., measures of prefire tree radial growth or crown condition). Immediately following the fire, the inclusion of different metrics of prefire tree health produced variable improvements over the models that included only tree size and measures of fire damage, as models that included measures of crown condition performed better than fire-only models, but models that included measures of prefire radial growth did not perform better. However, 5 years following the fire, sugar pine mortality was best predicted by models that included measures of both fire damage and prefire tree health, specifically, diameter at breast height (DBH, 1.37 m), crown scorch, 30-year mean growth, and the number of sharp declines in growth over a 30-year period. This suggests that factors that influence prefire tree health (e.g., drought, competition, pathogens, etc.) may partially determine postfire mortality, especially when accounting for delayed mortality following fire.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0449","usgsCitation":"Nesmith, J.C., Das, A., O’Hara, K.L., and van Mantgem, P.J., 2015, The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park: Canadian Journal of Forest Research, v. 45, p. 910-919, https://doi.org/10.1139/cjfr-2014-0449.","productDescription":"10 p.","startPage":"910","endPage":"919","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030332","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":301116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.92288208007812,\n 36.33614694088851\n ],\n [\n -118.92288208007812,\n 36.677230602346214\n ],\n [\n -118.6083984375,\n 36.677230602346214\n ],\n [\n -118.6083984375,\n 36.33614694088851\n ],\n [\n -118.92288208007812,\n 36.33614694088851\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951b5e4b032353cc17401","contributors":{"authors":[{"text":"Nesmith, Jonathan C. B.","contributorId":88618,"corporation":false,"usgs":true,"family":"Nesmith","given":"Jonathan","email":"","middleInitial":"C. B.","affiliations":[],"preferred":false,"id":548429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Hara, Kevin L.","contributorId":9923,"corporation":false,"usgs":true,"family":"O’Hara","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":548430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148506,"text":"70148506 - 2015 - Application of Bayesian Networks to hindcast barrier island morphodynamics","interactions":[],"lastModifiedDate":"2015-06-10T10:19:06","indexId":"70148506","displayToPublicDate":"2015-06-10T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Application of Bayesian Networks to hindcast barrier island morphodynamics","docAbstract":"

Prediction of coastal vulnerability is of increasing concern to policy makers, coastal managers and other stakeholders. Coastal regions and barrier islands along the Atlantic and Gulf coasts are subject to frequent, large storms, whose waves and storm surge can dramatically alter beach morphology, threaten infrastructure, and impact local economies. Given that precise forecasts of regional hazards are challenging, because of the complex interactions between processes on many scales, a range of probable geomorphic change in response to storm conditions is often more helpful than deterministic predictions. Site-specific probabilistic models of coastal change are reliable because they are formulated with observations so that local factors, of potentially high influence, are inherent in the model. The development and use of predictive tools such as Bayesian Networks in response to future storms has the potential to better inform management decisions and hazard preparation in coastal communities. We present several Bayesian Networks designed to hindcast distinct morphologic changes attributable to the Nor'Ida storm of 2009, at Fire Island, New York. Model predictions are informed with historical system behavior, initial morphologic conditions, and a parameterized treatment of wave climate.

\n

We refine a preliminary Bayesian Network by 1) increasing model experience through additional observations, 2) including anthropogenic modification history, and 3) replacing parameterized wave impact values with maximum run-up elevation. Further, we develop and train a pair of generalized models with an additional dataset encompassing a different storm event, which expands the observations beyond our hindcast objective. We compare the skill of the generalized models against the Nor'Ida specific model formulation, balancing the reduced skill with an expectation of increased transferability. Results of Nor'Ida hindcasts ranged in skill from 0.37 to 0.51 and accuracy of 65.0 to 81.9%.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2015.04.006","usgsCitation":"Wilson, K.E., Adams, P.N., Hapke, C.J., Lentz, E., and Brenner, O.T., 2015, Application of Bayesian Networks to hindcast barrier island morphodynamics: Coastal Engineering, v. 102, p. 30-43, https://doi.org/10.1016/j.coastaleng.2015.04.006.","productDescription":"14 p.","startPage":"30","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059455","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":301114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.34884643554688,\n 40.63688312646408\n ],\n [\n -73.32824707031249,\n 40.60873982383701\n ],\n [\n -73.20602416992188,\n 40.622291783092706\n ],\n [\n -73.00140380859375,\n 40.67126439151552\n ],\n [\n -72.82562255859375,\n 40.73581157695217\n ],\n [\n -72.69653320312499,\n 40.7701418259051\n ],\n [\n -72.71438598632812,\n 40.791979118109566\n ],\n [\n -72.80364990234375,\n 40.76494141246851\n ],\n [\n -72.88467407226562,\n 40.74101426921151\n ],\n [\n -72.94097900390625,\n 40.724364221722716\n ],\n [\n -73.01101684570312,\n 40.69834018178775\n ],\n [\n -73.05084228515625,\n 40.67959657544238\n ],\n [\n -73.14285278320312,\n 40.6629311662891\n ],\n [\n -73.23486328124999,\n 40.64521960545374\n ],\n [\n -73.30078125,\n 40.6410514961004\n ],\n [\n -73.34884643554688,\n 40.63688312646408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951aee4b032353cc173ed","contributors":{"authors":[{"text":"Wilson, Kathleen E. kwilson@usgs.gov","contributorId":5788,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":548489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Peter N.","contributorId":64361,"corporation":false,"usgs":true,"family":"Adams","given":"Peter","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":548491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":548490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lentz, Erika E. elentz@usgs.gov","contributorId":141129,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika E.","email":"elentz@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":548492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154933,"text":"70154933 - 2015 - Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","interactions":[],"lastModifiedDate":"2017-07-20T14:07:27","indexId":"70154933","displayToPublicDate":"2015-06-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","docAbstract":"

Restoration activities inherently depend on understanding the spatial and temporal variation in basic demographic rates of the species of interest. For species that modify and maintain their own habitat such as the eastern oyster Crassostrea virginica, understanding demographic rates and their impacts on population and habitat success are crucial to ensuring restoration success. We measured oyster recruitment, density, size distribution, biomass, mortality and Perkinsus marinus infection intensity quarterly for 3 yr on shallow intertidal reefs created with shell cultch in March 2009. All reefs were located within Sister Lake, LA. Reefs were placed in pairs at 3 different locations within the lake; pairs were placed in low and medium energy sites within each location. Restored reefs placed within close proximity (<8 km) experienced very different development trajectories; there was high inter-site and inter-annual variation in recruitment and mortality of oysters, with only slight variation in growth curves. Despite this high variation in population dynamics, all reefs supported dense oyster populations (728 ± 102 ind. m-2) and high live oyster biomass (>14.6 kg m-2) at the end of 3 yr. Shell accretion, on average, exceeded estimated rates required to keep pace with local subsidence and shell loss. Variation in recruitment, growth and survival drives local site-specific population success, which highlights the need to understand local water quality, hydrodynamics, and metapopulation dynamics when planning restoration.

","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11198","usgsCitation":"Casas, S.M., La Peyre, J.F., and La Peyre, M., 2015, Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion: Marine Ecology Progress Series, v. 524, p. 171-184, https://doi.org/10.3354/meps11198.","productDescription":"14 p.","startPage":"171","endPage":"184","ipdsId":"IP-057172","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11198","text":"Publisher Index Page"},{"id":344146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Sister Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.00250244140624,\n 29.165053325564653\n ],\n [\n -90.79479217529297,\n 29.165053325564653\n ],\n [\n -90.79479217529297,\n 29.284602230535242\n ],\n [\n -91.00250244140624,\n 29.284602230535242\n ],\n [\n -91.00250244140624,\n 29.165053325564653\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"524","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c4e4b0ec1a4885dae0","contributors":{"authors":[{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148001,"text":"ofr20151085 - 2015 - Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2015-06-09T14:59:54","indexId":"ofr20151085","displayToPublicDate":"2015-06-09T15:00:00","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":"2015-1085","title":"Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","docAbstract":"

A two-dimensional model was developed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to assess flow and chemical reaction associated with groundwater discharge through the subterranean estuary representative of coastal salt ponds of southern Cape Cod. The model simulated both the freshwater and saltwater flow systems and accounted for density-dependent flow, tidal fluctuation, and chemical reactivity among oxygen, dissolved organic carbon, nitrate, and ammonia. Not previously incorporated into one model, the interaction of these effects can now be simulated in the subterranean estuary context.

\n

An analysis of the flow system under mean-tide conditions was conducted first to provide the initial conditions for a subsequent analysis that included the effects of tidal fluctuations. Tidal fluctuations were simulated with a repeated couplet that represented a high tide-low tide sequence and alternating locations of head-dependent flux boundaries placed along the simulated seabed, above and below the levels of the respective high and low tides.

\n

Boundary conditions for chemical species included nitrate in recharge, and oxygen and organic matter (including organic nitrogen) in infiltrating solutions of head-dependent boundaries. Reaction chemistry was limited to oxidative degradation of organic matter (including remineralization of ammonia) with oxygen or nitrate as electron acceptors and nitrification of ammonia in the presence of oxygen.

\n

Simulations using the SEAWAT-2000 computer program resulted in two mixing zones-between freshwater and saltwater in a deep saltwater wedge and in an intertidal salt zone, which results from tidal fluctuation. The mixing zones are the principal locations where nitrogen attenuation reactions occurred-between organic matter in the saltwater zones of the aquifer and nitrate in the freshwater zone.

\n

In mean-tide PHT3D model simulations, 15 percent of nitrogen that is recharged was attenuated because of reaction with dissolved organic matter, a denitrification reaction that reduces nitrate to nitrogen gas. When a fluctuating tide was simulated, the amount of recharged nitrogen that was denitrified increased to 20 percent.

\n

Chemical reaction was controlled by the rate of mixing of freshwater and saltwater, which contained the reactants nitrate and dissolved organic matter, respectively, necessary for nitrogen attenuation reactions to take place. Reaction occurred in both the deep saltwater wedge and in an increased denitrification. However, mixing may also have been enhanced partly by numerical dispersion.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151085","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Colman, J.A., Carlson, C.S., and Robinson, C., 2015, Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts: U.S. Geological Survey Open-File Report 2015-1085, vi, 30 p., https://doi.org/10.3133/ofr20151085.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056161","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151085.jpg"},{"id":301098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1085/"},{"id":301099,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1085/pdf/ofr2015-1085.pdf","text":"Report","size":"3.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1085 Report"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5377197265625,\n 41.80203073088394\n ],\n [\n -70.477294921875,\n 41.77131167976407\n ],\n [\n -70.29052734375,\n 41.73852846935917\n ],\n [\n -70.235595703125,\n 41.74467659677642\n ],\n [\n -70.191650390625,\n 41.76106872528616\n ],\n [\n -70.02685546875,\n 41.79384042311992\n ],\n [\n -70.01312255859375,\n 41.87365126992505\n ],\n [\n -70.0762939453125,\n 41.89205502378826\n ],\n [\n -70.0872802734375,\n 41.98807738309159\n ],\n 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C.","contributorId":70586,"corporation":false,"usgs":true,"family":"Robinson","given":"C.","affiliations":[],"preferred":false,"id":548417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148471,"text":"sir20155045 - 2015 - Hydrologic model of the Modesto Region, California, 1960-2004","interactions":[],"lastModifiedDate":"2015-06-09T08:50:49","indexId":"sir20155045","displayToPublicDate":"2015-06-09T10:00:00","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":"2015-5045","title":"Hydrologic model of the Modesto Region, California, 1960-2004","docAbstract":"

Strategies for managing water supplies and groundwater quality in the Modesto region of the eastern San Joaquin Valley, California, are being formulated and evaluated by the Stanislaus and Tuolumne Rivers Groundwater Basin Association. Management issues and goals in the basin include an area in the lower part of the basin that requires drainage of the shallow water table to sustain agriculture, intra- and inter-basin migration of poor-quality groundwater, and efficient management of surface and groundwater supplies. To aid in the evaluation of water-management strategies, the U.S. Geological Survey and the Stanislaus and Tuolumne Rivers Groundwater Basin Association have developed a hydrologic model that simulates monthly groundwater and surface-water flow as governed by aquifer-system properties, annual and seasonal variations in climate, surface-water flow and availability, water use, and land use. The model was constructed by using the U.S. Geological Survey groundwater-modeling software MODFLOW-OWHM with the Farm Process.

\n

Available measurements of groundwater pumped for municipal, irrigation, and drainage purposes are specified in the model, as are deliveries of surface water. Private irrigation pumping and recharge associated with agricultural land use were estimated by using the Farm Process in MODFLOW-OWHM, which simulates landscape processes associated with irrigated agriculture and other land uses. The distribution of hydraulic conductivity in the aquifer system was constrained by using data from more than 3,500 drillers' logs. The model was calibrated to 4,061 measured groundwater levels in 109 wells and 2,739 mean monthly surface-water flows measured at 6 streamgages during 1960-2004 by using a semi-automated method of parameter estimation.

\n

The model fit to groundwater levels was good, with an absolute mean residual of 0.8 feet; 74 percent of simulated heads were within 10 feet of those observed. The model fit to streamflow was biased low, but reasonable overall; the absolute mean residual of streamflow was 780 cubic feet per second, and 68 percent of simulated streamflows were within 500 cubic feet per second of observed. Hydrographs both of groundwater levels and streamflow indicated overall an acceptable fit to observed trends.

\n

Simulated private agricultural pumpage ranged from about 780,000 to 1,380,000 acre-feet per year and averaged about 1,000,000 acre-feet per year from 1960 to 2004. Simulated deep percolation, or groundwater recharge from precipitation and irrigation, varied with climate and land use from about 1,100,000 to 1,700,000 acre-feet per year, averaging 1,360,000 acre-feet per year. Key limitations of the model with respect to estimating these large components of the water budget are the uncertainty associated with actual irrigation deliveries and irrigation efficiencies and the lack of metered data for private agricultural groundwater pumping. Different assumptions with respect to irrigation deliveries and efficiencies, and other model input, would result in different estimates of private agricultural groundwater use.

\n

The simulated exchange between groundwater and surface water was a small percentage of streamflow, typically ranging within a loss or gain of about 2 cubic feet per second per mile. The simulated exchange compared reasonably with limited independent estimates available, but substantial uncertainty is associated with these estimates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155045","collaboration":"Prepared in cooperation with the Stanislaus and Tuolumne Rivers Groundwater Basin Association","usgsCitation":"Phillips, S.P., Rewis, D.L., and Traum, J.A., 2015, Hydrologic model of the Modesto Region, California, 1960-2004: U.S. Geological Survey Scientific Investigations Report 2015-5045, x, 69 p., https://doi.org/10.3133/sir20155045.","productDescription":"x, 69 p.","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-014014","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":301085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155045.jpg"},{"id":301082,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5045/"},{"id":301084,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5045/downloads/sir2015-5045_fig21supplement.xls","text":"Supplement to figure 21","size":"3.1 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5045 Supplement to figure 21"},{"id":301083,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5045/pdf/sir2015-5045.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5045 Report"}],"projection":"Albers equal area conic projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Modesto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.38381958007812,\n 37.56308554496544\n ],\n [\n -121.38381958007812,\n 37.565262680889965\n ],\n [\n -121.34948730468749,\n 37.565262680889965\n ],\n [\n -121.34948730468749,\n 37.56308554496544\n ],\n [\n -121.38381958007812,\n 37.56308554496544\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.33575439453126,\n 37.57505900514994\n ],\n [\n -120.838623046875,\n 37.9051994823157\n ],\n [\n -120.39093017578125,\n 37.470498470798724\n ],\n [\n -120.96633911132812,\n 37.11543110112874\n ],\n [\n -121.33575439453126,\n 37.57505900514994\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5578001de4b032353cbeb6b3","contributors":{"authors":[{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rewis, Diane L. dlrewis@usgs.gov","contributorId":1511,"corporation":false,"usgs":true,"family":"Rewis","given":"Diane","email":"dlrewis@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548353,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154932,"text":"70154932 - 2015 - Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","interactions":[],"lastModifiedDate":"2018-02-27T18:16:26","indexId":"70154932","displayToPublicDate":"2015-06-09T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"title":"Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","docAbstract":"

Oysters are often cited as “ecosystem engineers” because they modify their environment. Coastal Louisiana contains extensive oyster reef areas that have been harvested for decades, and whether differences in habitat functions exist between those areas and nonharvested reefs is unclear. We compared reef physical structure and resident community metrics between these 2 subtidal reef types. Harvested reefs were more fragmented and had lower densities of live eastern oysters (Crassostrea virginica) and hooked mussels (Ischadium recurvum) than the nonharvested reefs. Stable isotope values (13C and 15N) of dominant nekton species and basal food sources were used to compare food web characteristics. Nonpelagic source contributions and trophic positions of dominant species were slightly elevated at harvested sites. Oyster harvesting appeared to have decreased the number of large oysters and to have increased the percentage of reefs that were nonliving by decreasing water column filtration and benthopelagic coupling. The differences in reef matrix composition, however, had little effect on resident nekton communities. Understanding the thresholds of reef habitat areas, the oyster density or oyster size distribution below which ecosystem services may be compromised, remains key to sustainable management.

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Limnogeology is the study of modern lakes and lake deposits in the geologic record. Limnogeologists have been active since the 1800s, but interest in limnogeology became prevalent in the early 1990s when it became clear that lake deposits contain continental environmental and climate records. A society that is focused on limnogeology would allow greater communication and access to research on these important subjects and contribute to providing sound science used to understand rapid global changes in our modern world; thus, the International Association of Limnogeology was founded in 1995 at the first International Limnogeology Congress (ILIC) held in Copenhagen, Denmark.

\n

The Sixth International Limnogeology Congress (ILIC6) was held in Reno, Nevada, from June 15–19, 2015. The ILIC meetings have been held every 4 years since the first meeting in1995 and were subsequently convened in Brest, France (1999), Tucson, Arizona, USA (2003), Barcelona, Spain (2007), and Konstanz, Germany (2011). The Congress in Reno, USA marks the second time the Congress has been held in the United States and more than 150 scientists from every part of the world participated. About one-half of the participants were from North America, together with scientists from Europe, South America, Asia, Africa, Australia, and New Zealand. The format of the Reno Congress followed the format originated at the Tucson Congress (ILIC3), which is unusual for scientific meetings. Nine keynote speakers spread throughout the Congress gave 1-hour talks, with the rest of the time available for viewing posters that were presented by the bulk of the participants. Keynote presentations were diverse and showed the breadth of research that is being done in lake systems worldwide. The abstracts of the keynote speakers and about 140 poster presentations are included in this volume. These posters cover a variety of limnologic, paleolimnologic, and limnogeologic topics including contaminant histories of lakes, the role of groundwater in lake processes, the formation of minerals in lake sediments, terminal lakes, how lakes reveal climate changes and paleohydrologic processes, the impact of volcanic emissions on lakes, as well as the biologic and chemical evolution of lake systems.

\n

The U.S. Geological Survey has sponsored each ILIC that has been held in the United States because of the importance of understanding paleoclimate and contaminant histories of lakes, two main themes of the Congress. This volume provides a permanent record of the wide variety of studies that are being conducted in modern lakes and ancient lake deposits worldwide, and it provides a stepping stone for any one desiring further discussion of the work that was presented at ILIC6.

","conferenceTitle":"Sixth International Limnogeology Congress","conferenceDate":"June 15-19, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151092","collaboration":"Prepared in cooperation with the International Association of Limnogeology","usgsCitation":"2015, Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015: U.S. Geological Survey Open-File Report 2015-1092, vi, 244 p., https://doi.org/10.3133/ofr20151092.","productDescription":"vi, 244 p.","numberOfPages":"254","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064519","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":301079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151092.jpg"},{"id":301076,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1092/"},{"id":301078,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151108","text":"Open-File Report 2015-1108","description":"Open-File Report 2015-1108","linkHelpText":"Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015"},{"id":301077,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1092/pdf/ofr2015-1092.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5576ae9ae4b032353cb4a449","contributors":{"editors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548310,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":548311,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kirby, Matthew","contributorId":140654,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":548312,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Gierlowski-Kordesch, Elizabeth","contributorId":140655,"corporation":false,"usgs":false,"family":"Gierlowski-Kordesch","given":"Elizabeth","email":"","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":548313,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548314,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Valero Garces, Blas L.","contributorId":140656,"corporation":false,"usgs":false,"family":"Valero Garces","given":"Blas","email":"","middleInitial":"L.","affiliations":[{"id":13545,"text":"Instituto Pirenaico de Ecología-CSIC","active":true,"usgs":false}],"preferred":false,"id":548315,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Varekamp, Johan","contributorId":140657,"corporation":false,"usgs":false,"family":"Varekamp","given":"Johan","affiliations":[{"id":13546,"text":"Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":548316,"contributorType":{"id":2,"text":"Editors"},"rank":7}]}} ,{"id":70148286,"text":"ofr20151108 - 2015 - Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015","interactions":[],"lastModifiedDate":"2015-06-08T11:58:36","indexId":"ofr20151108","displayToPublicDate":"2015-06-08T11:15:00","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":"2015-1108","title":"Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015","docAbstract":"

Limnogeology is the study of modern lakes and lake deposits in the geologic record. Limnogeologists have been active since the 1800s, but interest in Limnogeology became prevalent in the early 1990s when it became clear that lake deposits contain continental environmental and climate records. A society that is focused on Limnogeology would allow greater communication and access to research on these important subjects and contribute to providing sound science used to understand rapid global changes in our modern world; thus the International Association of Limnogeology was founded in 1995 at the first International Limnogeology Congress (ILIC) held in Copenhagen, Denmark.

\n

The Sixth International Limnogeology Congress (ILIC6) was held in Reno, Nevada, from June 15–19, 2015. The ILIC meetings have been held every 4 years since the first meeting in1995 and were subsequently convened in Brest, France (1999), Tucson, USA (2003), Barcelona, Spain (2007), and Konstanz, Germany (2011). The Congress in Reno, USA marks the second time the Congress has been held in the United States and more than 150 scientists from every part of the world participated.

\n

As part of the Congress, ILIC6 included pre- and post- Congress field trips, the descriptions of which are included as separate trips in this Open-File Report. Trip 1 provides information on the pluvial and post-glacial Lakes of the eastern Great Basin, led by Paul Jewell, University of Utah, Ben Laabs, State University of New York-Geneseo, Jeff Munroe, Middlebury College, and Jack Oviatt, Kansas State University. Trip 2 contains information on the lake sequences of closed-basin lakes in the Eocene Green River Formation in Wyoming, led by Michael Smith, Northern Arizona University and Jennifer Scott, Mount Royal University. Trip 3 provides the background for the field trip to Pleistocene and modern lakes in the Great Basin of North America that was led by Susan Zimmerman, Lawrence Livermore National Laboratory, Ken Adams, Desert Research Institute, and Michael Rosen, U.S. Geological Survey. Trip 4 contains the information for a trip to the modern lakes in Lassen National Park that was led by Paula Noble and Kerry Howard, both from the University of Nevada, Reno.

\n

The U.S. Geological Survey has sponsored each ILIC that has been held in the United States because of the importance of understanding paleoclimate and contaminant histories of lakes, two main themes of the Congress. This field trip guide provides a permanent record of some of the wide variety of studies that are being conducted in modern lakes and ancient lake deposits in western North America, and it provides a starting point for any one desiring to visit these exceptional sites or begin work in these areas.

","conferenceTitle":"Sixth International Limnogeology Congress","conferenceDate":"June 15-19, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151108","collaboration":"Prepared in cooperation with the International Association of Limnogeology","usgsCitation":"2015, Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015: U.S. Geological Survey Open-File Report 2015-1108, vi, 100 p., https://doi.org/10.3133/ofr20151108.","productDescription":"vi, 100 p.","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064866","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":301074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151108.jpg"},{"id":301072,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1108/pdf/ofr2015-1108.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301073,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151092","text":"Open-File Report 2015-1092","description":"Open-File Report 2015-1092","linkHelpText":"Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015"},{"id":301071,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1108/"}],"country":"United States","state":"California, Nevada, Utah, Wyoming","otherGeospatial":"Great Basin, Lassen Volcanic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.0872802734375,\n 41.04828819952275\n ],\n [\n -115.521240234375,\n 40.18516846826054\n ],\n [\n -115.48828125000001,\n 40.13899044275822\n ],\n [\n -115.24383544921875,\n 40.327701904195926\n ],\n [\n -115.10650634765625,\n 40.67647212850004\n ],\n [\n -114.02297973632812,\n 40.74517613004631\n ],\n [\n -113.65768432617188,\n 40.959159772134896\n ],\n [\n -113.84033203125,\n 41.00373905329032\n ],\n [\n -114.18228149414062,\n 40.826280356677124\n ],\n [\n -115.01586914062499,\n 40.950862628132775\n ],\n [\n -115.0872802734375,\n 41.04828819952275\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.54168701171875,\n 41.000629848685385\n ],\n [\n -110.54168701171875,\n 41.76926321969369\n ],\n [\n -109.10522460937499,\n 41.76926321969369\n ],\n [\n -109.10522460937499,\n 41.000629848685385\n ],\n [\n -110.54168701171875,\n 41.000629848685385\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.47906494140624,\n 39.58240712203527\n ],\n [\n -119.59030151367188,\n 39.56970506644249\n ],\n [\n -119.84161376953125,\n 39.317300373271024\n ],\n [\n -119.84298706054688,\n 39.235444275770554\n ],\n [\n -119.14672851562499,\n 37.85750715625203\n ],\n [\n -118.93798828125,\n 37.91170058826019\n ],\n [\n -118.72100830078125,\n 38.63189092902837\n ],\n [\n -118.740234375,\n 38.77549900381297\n ],\n [\n -118.8006591796875,\n 38.982897808179985\n ],\n [\n -118.795166015625,\n 39.26203141523749\n ],\n [\n -118.6248779296875,\n 39.3831409542565\n ],\n [\n -118.63037109375,\n 39.48920467334085\n ],\n [\n -118.87069702148436,\n 39.552765371831015\n ],\n [\n -119.47906494140624,\n 39.58240712203527\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.57745361328125,\n 40.550330732028456\n ],\n [\n -121.36974334716795,\n 40.550330732028456\n ],\n [\n -121.37042999267577,\n 40.5855387460858\n ],\n [\n -121.2839126586914,\n 40.583974338791805\n ],\n [\n -121.25198364257811,\n 40.540156079737145\n ],\n [\n -121.25164031982422,\n 40.5302408293016\n ],\n [\n -121.51359558105469,\n 40.42368991675518\n ],\n [\n -121.57814025878906,\n 40.529979881843865\n ],\n [\n -121.57745361328125,\n 40.550330732028456\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5576ae9de4b032353cb4a453","contributors":{"compilers":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548270,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}} ,{"id":70139689,"text":"ofr20151010 - 2015 - Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS)","interactions":[],"lastModifiedDate":"2015-06-05T11:58:22","indexId":"ofr20151010","displayToPublicDate":"2015-06-05T13:00:00","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":"2015-1010","title":"Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS)","docAbstract":"

Typically, quadrupole inductively coupled plasma-mass spectrometry (ICP-MS) is used to determine as many as 57 major, minor, and trace elements in aqueous geochemical samples, including natural surface water and groundwater, acid mine drainage water, and extracts or leachates from geological samples. The sample solution is aspirated into the inductively coupled plasma (ICP) which is an electrodeless discharge of ionized argon gas at a temperature of approximately 6,000 degrees Celsius. The elements in the sample solution are subsequently volatilized, atomized, and ionized by the ICP. The ions generated are then focused and introduced into a quadrupole mass filter which only allows one mass to reach the detector at a given moment in time. As the settings of the mass analyzer change, subsequent masses are allowed to impact the detector. Although the typical quadrupole ICP-MS system is a sequential scanning instrument (determining each mass separately), the scan speed of modern instruments is on the order of several thousand masses per second. Consequently, typical total sample analysis times of 2–3 minutes are readily achievable for up to 57 elements.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151010","usgsCitation":"Wolf, R.E., and Adams, M., 2015, Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS): U.S. Geological Survey Open-File Report 2015-1010, Report: iv, 34 p.; Downloads Directory, https://doi.org/10.3133/ofr20151010.","productDescription":"Report: iv, 34 p.; Downloads Directory","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056063","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":301050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151010.jpg"},{"id":301047,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1010/"},{"id":301048,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1010/pdf/ofr2015-1010.pdf","text":"Report","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301049,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1010/downloads/ofr2015-1010_table1-2.xlsx","text":"Download","linkHelpText":"Contains table 1–2, a correction equations calculation worksheet with formulas used for calculations in the report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5572ba27e4b077dba76c1b92","contributors":{"authors":[{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}