Rapid development, population growth, and the changes in land and water use accompanying development are placing increasing stress on water resources in the Taunton River Basin. An assessment by the Massachusetts Department of Environmental Protection determined that a number of tributary streams to the Taunton River are impaired for a variety of beneficial uses because of nutrient enrichment. Most of the impaired reaches are in the Matfield River drainage area in the vicinity of the City of Brockton. In addition to impairments of stream reaches in the basin, discharge of nutrient-rich water from the Taunton River contributes to eutrophication of Mount Hope and Narragansett Bays. To assess water quality and loading in the impaired tributary stream reaches in the basin, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection compiled existing water-quality data from previous studies for the period 1997-2006, developed and calibrated a Hydrological Simulation Program-FORTRAN (HSPF) precipitation-runoff model to simulate streamflow in areas of the basin that contain the impaired reaches for the same time period, and collected additional streamflow and water-quality data from sites on the Matfield and Taunton Rivers in 2008. A majority of the waterquality samples used in the study were collected between 1999 and 2006. Overall, the concentration, yield, and load data presented in this report represent water-quality conditions in the basin for the period 1997-2008. Water-quality data from 52 unique sites were used in the study. Most of the samples from previous studies were collected between June and September under dry weather conditions. Simulated or measured daily mean streamflow and water-quality data were used to estimate constituent yields and loads in the impaired tributary stream reaches and the main stem of the Taunton River and to develop yield-duration plots for reaches with sufficient water-quality data. Total phosphorus concentrations in the impaired-reach areas ranged from 0.0046 to 0.91 milligrams per liter (mg/L) in individual samples (number of samples (n)=331), with a median of 0.090 mg/L; total nitrogen concentrations ranged from 0.34 to 14 mg/L in individual samples (n=139), with a median of 1.35 mg/L; and total suspended solids concentrations ranged from 2/d) for total phosphorus and 100 lb/mi2/d for total nitrogen in these reaches. In most of the impaired reaches not affected by the Brockton Advanced Water Reclamation Facility outfall, yields were lower than in reaches downstream from the outfall, and the difference between measured and threshold yields was fairly uniform over a wide range of flows, suggesting that multiple processes contribute to nonpoint loading in these reaches. The Northeast and Mid-Atlantic SPAtially-Referenced Regression On Watershed (SPARROW) models for total phosphorus and total nitrogen also were used to estimate annual nutrient loads in the impaired tributary stream reaches and main stem of the Taunton River and predict the distribution of these loads among point and diffuse sources in reach drainage areas. SPARROW is a regional, statistical model that relates nutrient loads in streams to upstream sources and land-use characteristics and can be used to make predictions for streams that do not have nutrient-load data. The model predicts mean annual loads based on longterm streamflow and water-quality data and nutrient source conditions for the year 2002. Predicted mean annual nutrient loads from the SPARROW models were consistent with the measured yield and load data from sampling sites in the basin. For conditions in 2002, the Brockton Advanced Water Reclamation Facility outfall accounted for over 75 percent of the total nitrogen load and over 93 percent of the total phosphorus load in the Salisbury Plain and Matfield Rivers downstream from the outfall. Municipal point sources also accounted for most of the load in the main stem of the Taunton River. Multiple municipal wastewater discharges in the basin accounted for about 76 and 46 percent of the delivered loads of total phosphorus and total nitrogen, respectively, to Mount Hope Bay. For similarly sized watersheds, total delivered loads were lower in watersheds without point sources compared to those with point sources, and sources associated with developed land accounted for most of the delivered phosphorus and nitrogen loads to the impaired reaches. The concentration, yield, and load data evaluated in this study may not be representative of current (2012) point-source loading in the basin; in particular, most of the water-quality data used in the study (1999-2006) were collected prior to completion of upgrades to the Brockton Advanced Water Reclamation Facility that reduced total phosphorus and nitrogen concentrations in treated effluent. Effluent concentration data indicate that, for a given flow rate, effluent loads of total phosphorus and total nitrogen declined by about 80 and 30 percent, respectively, between the late 1990s and 2008 in response to plant upgrades. Consequently, current (2012) water-quality conditions in the impaired reaches downstream from the facility likely have improved compared to conditions described in the report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125277","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection, Division of Watershed Management","usgsCitation":"Barbaro, J.R., and Sorenson, J.R., 2013, Nutrient and sediment concentrations, yields, and loads in impaired streams and rivers in the Taunton River Basin, Massachusetts, 1997-2008: U.S. Geological Survey Scientific Investigations Report 2012-5277, Report: ix, 89 p.; Appendix 2, https://doi.org/10.3133/sir20125277.","productDescription":"Report: ix, 89 p.; Appendix 2","numberOfPages":"103","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":265860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5277.gif"},{"id":265859,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5277/appendix/sir2012-5277_appx02_table.xlsx"},{"id":265858,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5277/pdf/sir2012-5277_report_508.pdf"},{"id":265857,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5277/"}],"projection":"Massachusetts state plane projection, mainland zone","datum":"1983 North American datum","country":"United States","state":"Massachusetts","otherGeospatial":"Taunton River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.34933471679688,\n 41.67086022030498\n ],\n [\n -71.34933471679688,\n 42.14405981155152\n ],\n [\n -70.71487426757812,\n 42.14405981155152\n ],\n [\n -70.71487426757812,\n 41.67086022030498\n ],\n [\n -71.34933471679688,\n 41.67086022030498\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50fa6f27e4b061045bf9ab9b","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042674,"text":"tm11C8 - 2013 - User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS)","interactions":[],"lastModifiedDate":"2016-12-05T13:26:32","indexId":"tm11C8","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C8","title":"User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS)","docAbstract":"National Wildlife Refuges may have impaired water quality resulting from historic and current land uses, upstream sources, and aerial pollutant deposition. National Wildlife Refuge staff have limited time available to identify and evaluate potential water quality issues. As a result, water quality–related issues may not be resolved until a problem has already arisen. The National Wildlife Refuge System Water Quality Information System (WQIS) is a relational database developed for use by U.S. Fish and Wildlife Service staff to identify existing water quality issues on refuges in the United States. The WQIS database relies on a geospatial overlay analysis of data layers for ownership, streams and water quality. The WQIS provides summary statistics of 303(d) impaired waters and total maximum daily loads for the National Wildlife Refuge System at the national, regional, and refuge level. The WQIS allows U.S. Fish and Wildlife Service staff to be proactive in addressing water quality issues by identifying and understanding the current extent and nature of 303(d) impaired waters and subsequent total maximum daily loads. Water quality data are updated bi-annually, making it necessary to refresh the WQIS to maintain up-to-date information. This manual outlines the steps necessary to update the data and reports in the WQIS.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C8","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service. This report is Chapter 8 of Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data.","usgsCitation":"Chojnacki, K.A., Vishy, C., Hinck, J.E., Finger, S.E., Higgins, M.J., and Kilbride, K., 2013, User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS): U.S. Geological Survey Techniques and Methods 11-C8, iv, 24 p., https://doi.org/10.3133/tm11C8.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042181","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":265788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c8.gif"},{"id":265786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11c8/"},{"id":265787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11c8/TM11C8.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d71e4b0727905955f24","contributors":{"authors":[{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vishy, Chad J.","contributorId":45601,"corporation":false,"usgs":true,"family":"Vishy","given":"Chad J.","affiliations":[],"preferred":false,"id":472029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":472028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finger, Susan E. sfinger@usgs.gov","contributorId":1317,"corporation":false,"usgs":true,"family":"Finger","given":"Susan","email":"sfinger@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":472026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgins, Michael J.","contributorId":86662,"corporation":false,"usgs":true,"family":"Higgins","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilbride, Kevin","contributorId":88234,"corporation":false,"usgs":true,"family":"Kilbride","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":472031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70042680,"text":"ofr20131016 - 2013 - Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","interactions":[],"lastModifiedDate":"2013-01-17T11:03:32","indexId":"ofr20131016","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","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":"2013-1016","title":"Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","docAbstract":"The Merced River in the popular and picturesque eastern-most part of Yosemite Valley in Yosemite National Park, California, USA, has been extensively altered since the park was first conceived in 1864. Historical human trampling of streambanks has been suggested as the cause of substantial increases in stream width, and the construction of undersized stone bridges in the 1920s has been suggested as the major factor leading to an increase in overbank flooding due to deposition of bars and islands between the bridges. In response, the National Park Service at Yosemite National Park (YNP) requested a study of the hydraulic and geomorphic conditions affecting the most-heavily influenced part of the river, a 2.4-km reach in eastern Yosemite Valley extending from above the Tenaya Creek and Merced River confluence to below Housekeeping Bridge. As part of the study, present-day conditions were compared to historical conditions and several possible planning scenarios were investigated, including the removal of an elevated road berm and the removal of three undersized historic stone bridges identified by YNP as potential problems: Sugar Pine, Ahwahnee and Stoneman Bridges. This Open-File Report will be superseded at a later date by a Scientific Investigations Report. A two-dimensional hydrodynamic model, the USGS FaSTMECH (Flow and Sediment Transport with Morphological Evolution of Channels) model, within the USGS International River Interface Cooperative (iRIC) model framework, was used to compare the scenarios over a range of discharges with annual exceedance probabilities of 50-, 20-, 10-, and 5- percent. A variety of topographic and hydraulic data sources were used to create the input conditions to the hydrodynamic model, including aerial LiDAR (Light Detection And Ranging), ground-based LiDAR, total station survey data, and grain size data from pebble counts. A digitized version of a historical topographic map created by the USGS in 1919, combined with estimates of grain size, was used to simulate historical conditions, and the planning scenarios were developed by altering the present-day topography. Roughness was estimated independently of measured water-surface elevations by using the mapped grain-size data and the Keulegan relation of grain size to drag coefficient. The FaSTMECH hydrodynamic model was evaluated against measured water levels by using a 130.9 m3 s-1 flow (approximately a 33-percent annual exceedance probability flood) with 36 water-surface elevations measured by YNP personnel on June 8, 2010. This evaluation run had a root mean square error of 0.21 m between the simulated- and observed water-surface elevations (less than 10 percent of depth), though the observed water-surface elevations had relatively high variation due to the strong diurnal stage changes over the course of the 4.4-hour collection period, during which discharge varied by about 15 percent. There are presently no velocity data with which to test the model. A geomorphic assessment was performed that consisted of an estimate of the magnitude and frequency of bedload and suspended-sediment transport at “Tenaya Bar”, an important gravel-cobble bar located near the upstream end of the study site that determines the amount of flow across the floodplain at the Sugar Pine – Ahwahnee bend. An analysis of select repeat cross-sections collected by YNP since the late 1980s was done to investigate changes in channel cross-sectional area near the Tenaya Bar site. The results of the FaSTMECH models indicate that the maximum velocities in the present-day channel within the study reach are associated with Stoneman and Sugar Pine Bridges, at close to 3.0 m s-1 for the 5-percent annual exceedance probability flood. The modeled maximum velocities at Ahwahnee Bridge are comparatively low, at between 1.5 and 2.0 m s-1, most likely due to the bridge's orientation parallel to down-valley floodplain flows. The results of the FaSTMECH models for the bridge removal scenarios indicate a reduction in average velocity at the bridge sites for the range of flows by approximately 23-38 percent (Sugar Pine Bridge), 32-42 percent (Ahwahnee Bridge), and 33-39 percent (Stoneman Bridge), though a side channel of concern to YNP management did not appear to be substantially affected by the removal scenarios. In comparison to the historical data, the FaSTMECH results suggest that flows for present-day conditions do not inundate the floodplain until between the 50- and 20-percent annual exceedance probability flood, whereas historically, a large portion of the floodplain was inundated during the 50-percent annual exceedance probability flood. Modeled maximum velocities in the present-day channel commonly exceed 2.0 m s-1, whereas with the historical scenario, modeled maximum in-channel velocities rarely exceeded 2.0 m s-1. The geomorphic analysis of the magnitude-frequency of bedload and suspended-sediment transport suggests that at the important Tenaya Bar site, the majority of bed sediment is mobile during most snowmelt-dominated floods. In contrast to sediment transport capacity, the analysis of repeat cross-sections suggests that bedload sediment supply into the eastern Yosemite Valley may be quite different between rain-on-snow floods and snowmelt-dominated floods, potentially with most sediment supply occurring during rain-on-snow floods, such as the 1997 flood. In contrast, the magnitude-frequency analysis of bedload and suspended-sediment transport suggests that long-term bedload sediment transport is likely dominated by snowmelt floods, and suspended-sediment transport is relatively low compared to bedload transport. Obtaining measured velocity data throughout the study reach would aid in model calibration, and thus would improve confidence in model results. Improved confidence in the model velocity results would allow additional substantial analyses of reach-scale effects of the planning scenarios and would enable the development of geomorphic models to evaluate the long-term geomorphic responses of the site. In addition, the collection of watershed sediment-supply data, about which little is presently known, would give planners helpful tools to plan restoration scenarios for this nationally important river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131016","usgsCitation":"Minear, J., and Wright, S., 2013, Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California: U.S. Geological Survey Open-File Report 2013-1016, ix, 79 p., https://doi.org/10.3133/ofr20131016.","productDescription":"ix, 79 p.","numberOfPages":"88","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1016.jpg"},{"id":265802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1016/"},{"id":265803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1016/pdf/ofr2013-1016.pdf"}],"country":"United States","state":"California","otherGeospatial":"Illilouette Creek;Tenaya Creek;Upper Merced;Yosemite Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.7,37.639 ], [ -119.7,37.816 ], [ -119.35,37.816 ], [ -119.35,37.639 ], [ -119.7,37.639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6de4b0727905955f14","contributors":{"authors":[{"text":"Minear, J. Toby","contributorId":9938,"corporation":false,"usgs":true,"family":"Minear","given":"J. 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The USGS Earth Resources Observation and Science (EROS) Center is charged with prototyping systems and software to generate these high-level data products. Various USGS Geographic Science Centers are charged with particular ECV algorithm development and (or) selection as well as the evaluation and application demonstration of various USGS CDRs and ECVs. Because it is a foundation for many other ECVs, the first CDR in development is the Landsat Surface Reflectance Product (LSRP). The LSRP incorporates data quality information in a bit-packed structure that is not readily accessible without postprocessing services performed by the user. This document describes two general methods of LSRP quality-data extraction for use in image processing systems. Helpful hints for the installation and use of software originally developed for manipulation of Hierarchical Data Format (HDF) produced through the National Aeronautics and Space Administration (NASA) Earth Observing System are first provided for users who wish to extract quality data into separate HDF files. Next, steps follow to incorporate these extracted data into an image processing system. Finally, an alternative example is illustrated in which the data are extracted within a particular image processing system.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C7","usgsCitation":"Jones, J.W., Starbuck, M., and Jenkerson, C.B., 2013, Landsat surface reflectance quality assurance extraction (version 1.7): U.S. Geological Survey Techniques and Methods 11-C7, iv, 9 p., https://doi.org/10.3133/tm11C7.","productDescription":"iv, 9 p.","numberOfPages":"15","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c7.gif"},{"id":265814,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/c07/"},{"id":265815,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/c07/pdf/tm11-c7.pdf"}],"country":"United States","publicComments":"This report is Chapter 7 of Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6fe4b0727905955f1c","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starbuck, M.J.","contributorId":86243,"corporation":false,"usgs":true,"family":"Starbuck","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":472062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":24958,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042676,"text":"sir20125241 - 2013 - Estimated anthropogenic nitrogen and phosphorus inputs to the land surface of the conterminous United States--1992, 1997, and 2002","interactions":[],"lastModifiedDate":"2013-01-17T09:32:04","indexId":"sir20125241","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","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":"2012-5241","title":"Estimated anthropogenic nitrogen and phosphorus inputs to the land surface of the conterminous United States--1992, 1997, and 2002","docAbstract":"Anthropogenic inputs of nitrogen and phosphorus to each county in the conterminous United States and to the watersheds of 495 surface-water sites studied as part of the U.S. Geological Survey National Water-Quality Assessment Program were quantified for the years 1992, 1997, and 2002. Estimates of inputs of nitrogen and phosphorus from biological fixation by crops (for nitrogen only), human consumption, crop production for human consumption, animal production for human consumption, animal consumption, and crop production for animal consumption for each county are provided in a tabular dataset. These county-level estimates were allocated to the watersheds of the surface-water sites to estimate watershed-level inputs from the same sources; these estimates also are provided in a tabular dataset, together with calculated estimates of net import of food and net import of feed and previously published estimates of inputs from atmospheric deposition, fertilizer, and recoverable manure. The previously published inputs are provided for each watershed so that final estimates of total anthropogenic nutrient inputs could be calculated. Estimates of total anthropogenic inputs are presented together with previously published estimates of riverine loads of total nitrogen and total phosphorus for reference.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125241","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Sprague, L.A., and Gronberg, J., 2013, Estimated anthropogenic nitrogen and phosphorus inputs to the land surface of the conterminous United States--1992, 1997, and 2002: U.S. Geological Survey Scientific Investigations Report 2012-5241, Report: iv, 14 p.; 2 Datasets, https://doi.org/10.3133/sir20125241.","productDescription":"Report: iv, 14 p.; 2 Datasets","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":265793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5241.gif"},{"id":265791,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5241/Nutrient_input_county.xlsx"},{"id":265789,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5241/"},{"id":265790,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5241/sir2012-5241.pdf"},{"id":265792,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5241/Nutrient_input_watershed.xlsx"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6be4b0727905955f0c","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":472035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gronberg, Jo Ann M.","contributorId":18342,"corporation":false,"usgs":true,"family":"Gronberg","given":"Jo Ann M.","affiliations":[],"preferred":false,"id":472036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042679,"text":"fs20133003 - 2013 - What is the economic value of satellite imagery?","interactions":[],"lastModifiedDate":"2013-01-17T10:50:06","indexId":"fs20133003","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3003","title":"What is the economic value of satellite imagery?","docAbstract":"Does remote-sensing information, such as that from Landsat and similar Earth-observing satellites, provide economic benefits to society, and can this value be estimated? Using satellite data for northeastern Iowa, U.S. Geological Survey scientists modeled the relations among land uses, agricultural production, and dynamic nitrate (NO3-) contamination of aquifers. They demonstrated that information from such modeling can allow more efficient management of agricultural production without sacrificing groundwater quality. Just for northeastern Iowa, the value of such remote-sensing information was shown to be as much as $858 million ± $197 million per year, which corresponds to a current value of $38.1 billion ± $8.8 billion for that flow of benefits into the foreseeable future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133003","usgsCitation":"Raunikar, R.P., Forney, W.M., and Benjamin, S.P., 2013, What is the economic value of satellite imagery?: U.S. Geological Survey Fact Sheet 2013-3003, 2 p., https://doi.org/10.3133/fs20133003.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2013_3003.gif"},{"id":265799,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3003/"},{"id":265800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3003/fs2013-3003.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d72e4b0727905955f28","contributors":{"authors":[{"text":"Raunikar, Ronald P.","contributorId":101535,"corporation":false,"usgs":true,"family":"Raunikar","given":"Ronald","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":472042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Susan P. sbenjamin@usgs.gov","contributorId":354,"corporation":false,"usgs":true,"family":"Benjamin","given":"Susan","email":"sbenjamin@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":472040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042688,"text":"sim3200 - 2013 - Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts","interactions":[],"lastModifiedDate":"2022-09-23T14:47:40.025665","indexId":"sim3200","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","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":"3200","title":"Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts","docAbstract":"The bedrock geology of the 7.5-minute Nashua South quadrangle consists primarily of deformed Silurian metasedimentary rocks of the Berwick Formation. The metasedimentary rocks are intruded by a Late Silurian to Early Devonian diorite-gabbro suite, Devonian rocks of the Ayer Granodiorite, Devonian granitic rocks of the New Hampshire Plutonic Suite including pegmatite and the Chelmsford Granite, and Jurassic diabase dikes. The bedrock geology was mapped to study the tectonic history of the area and to provide a framework for ongoing hydrogeologic characterization of the fractured bedrock of Massachusetts and New Hampshire. This report presents mapping by G.J. Walsh and R.H. Jahns and zircon U-Pb geochronology by J.N. Aleinikoff. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are only available as downloadable files (see frame at right). The GIS database is available for download in ESRITM shapefile and Google EarthTM formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, photographs, and a three-dimensional model.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3200","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Massachusetts Geological Survey and the State of New Hampshire, New Hampshire Geological Survey","usgsCitation":"Walsh, G.J., Jahns, R., and Aleinikoff, J.N., 2013, Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3200, Pamphlet: iv, 31 p.; 1 Plate: 29.72 x 37.38 inches; Downloads Directory, https://doi.org/10.3133/sim3200.","productDescription":"Pamphlet: iv, 31 p.; 1 Plate: 29.72 x 37.38 inches; Downloads Directory","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":265818,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3200/pdf/SIM_3200_map_sheet.pdf"},{"id":265817,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3200/"},{"id":265819,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3200/pdf/SIM3200_pamphlet_low_rez.pdf"},{"id":265820,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3200/Downloads"},{"id":265821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3200.gif"},{"id":398870,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98076.htm"}],"scale":"24000","projection":"Polyconic projection","datum":"1927 North American Datum","country":"United States","state":"Massachusetts, New Hampshire","county":"Hillsborough County, Middlesex County","otherGeospatial":"Nashua South quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.500,42.625 ], [ -71.500,42.750 ], [ -71.375,42.750 ], [ -71.375,42.625 ], [ -71.500,42.625 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d5fe4b0727905955f08","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":472064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahns, Richard H.","contributorId":107757,"corporation":false,"usgs":true,"family":"Jahns","given":"Richard H.","affiliations":[],"preferred":false,"id":472066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042685,"text":"sir20125263 - 2013 - Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","interactions":[],"lastModifiedDate":"2023-03-09T20:15:36.375142","indexId":"sir20125263","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","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":"2012-5263","title":"Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","docAbstract":"In 2009, to support an evaluation of the feasibility of reopening the Pearce Creek Dredge Material Containment Area (DMCA) in Cecil County, Maryland, for dredge-spoil disposal, the U.S. Geological Survey (USGS) began to implement a comprehensive study designed to improve the understanding of the hydrogeologic framework, hydrology, and water quality of shallow aquifers underlying the DMCA and adjacent communities, to determine whether or not the DMCA affected groundwater quality, and to assess whether or not groundwater samples contained chemical constituents at levels greater than maximum allowable or recommended levels established by the U.S. Environmental Protection Agency Safe Drinking Water Act. The study, conducted in 2010-11 by USGS in cooperation with the U.S. Army Corps of Engineers, included installation of observation wells in areas where data gaps led earlier studies to be inconclusive. The data from new wells and existing monitoring locations were interpreted and show the DMCA influences the groundwater flow and quality. Groundwater flow in the two primary aquifers used for local supplies-the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone)-is radially outward from the DMCA toward discharge areas, including West View Shores, the Elk River, and Pearce Creek Lake. In addition to horizontal flow outward from the DMCA, vertical gradients primarily are downward in most of the study area, and upward near the Elk River on the north side of the DMCA property, and the western part of West View Shores. Integrating groundwater geochemistry data in the analysis, the influence of the DMCA is not only a source of elevated concentrations of dissolved solids but also a geochemical driver of redox processes that enhances the mobilization and transport of redox-sensitive metals and nutrients. Groundwater affected by the DMCA is in the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone). Based on minimal data, the water quality in the upper Patapsco aquifer deep water-bearing zone does not seem to have been impacted by the DMCA.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125263","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Dieter, C.A., Koterba, M.T., Zapecza, O.S., Walker, C., and Rice, D.E., 2013, Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5263, Report: xiii, 219 p.; Appendix, https://doi.org/10.3133/sir20125263.","productDescription":"Report: xiii, 219 p.; Appendix","numberOfPages":"238","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":265813,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5263.gif"},{"id":265811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5263/sir12_5263.pdf"},{"id":265812,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5263/downloads/append_B_tables.xlsx"},{"id":265810,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5263/"}],"scale":"1000000","projection":"Universal Mercator projection, Zone 18N","datum":"North American Datum 1983","country":"United States","state":"Maryl","county":"Cecil County","otherGeospatial":"Pearce Creek Dredge Material Containment Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.45,39.00 ], [ -75.45,39.78 ], [ -77.00,39.78 ], [ -77.00,39.00 ], [ -75.45,39.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6ee4b0727905955f18","contributors":{"authors":[{"text":"Dieter, Cheryl A. 0000-0002-5786-4091 cadieter@usgs.gov","orcid":"https://orcid.org/0000-0002-5786-4091","contributorId":2058,"corporation":false,"usgs":true,"family":"Dieter","given":"Cheryl","email":"cadieter@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koterba, Michael T.","contributorId":70419,"corporation":false,"usgs":true,"family":"Koterba","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":472059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zapecza, Otto S. ozapecza@usgs.gov","contributorId":3687,"corporation":false,"usgs":true,"family":"Zapecza","given":"Otto","email":"ozapecza@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":472057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Charles W.","contributorId":56948,"corporation":false,"usgs":true,"family":"Walker","given":"Charles W.","affiliations":[],"preferred":false,"id":472058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Donald E.","contributorId":70440,"corporation":false,"usgs":true,"family":"Rice","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70073366,"text":"70073366 - 2013 - Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use","interactions":[],"lastModifiedDate":"2014-01-27T10:39:55","indexId":"70073366","displayToPublicDate":"2013-01-16T11:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use","docAbstract":"A study was conducted to evaluate changes in water quality and land-use change associated with \nlakes that are south of the current breeding range of Common Loons in Wisconsin but that historically \nsupported breeding loons. Museum collection records and published accounts were examined to \nidentify lakes in southern Wisconsin with a former history of loon nesting activity. Historical and recent \nwater quality data were obtained from state and USEPA databases for the former loon nesting lakes that \nwere identified and paleolimnological data were acquired for these lakes from sediment cores used to \ninfer historical total phosphorus concentrations from diatom assemblages. U.S. General Land Office \nnotes and maps from the original land survey conducted in Wisconsin during 1832-1866 and the \nNational Land Cover Database 2006 were utilized to assess land use changes that occurred within the \ndrainage basins of former loon nesting lakes. Our results indicate that the landscape of southern \nWisconsin has changed dramatically since Common Loons last nested in the region. A number of \nfactors have likely contributed to the decreased appeal of southern Wisconsin lakes to breeding \nCommon Loons, including changes to water quality, altered trophic status resulting from nutrient \nenrichment, and reductions in suitable nesting habitat stemming from shoreline development and altered \nwater levels. Increased nutrient and sediment inputs from agricultural and developed areas likely \ncontributed to a reduction in habitat quality.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Potential effects of climate change on inland glacial lakes and implications for lake dependent biota in Wisconsin","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Focus on Energy","usgsCitation":"Kenow, K.P., Garrison, P.J., Fox, T.J., and Meyer, M., 2013, Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use, chap. of Potential effects of climate change on inland glacial lakes and implications for lake dependent biota in Wisconsin, p. 89-108.","productDescription":"20 p.","startPage":"89","endPage":"108","numberOfPages":"20","ipdsId":"IP-043110","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":281553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd609ce4b0b290850fd075","contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":488640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Paul J.","contributorId":73193,"corporation":false,"usgs":true,"family":"Garrison","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Timothy J. 0000-0002-6167-3001 tfox@usgs.gov","orcid":"https://orcid.org/0000-0002-6167-3001","contributorId":1701,"corporation":false,"usgs":true,"family":"Fox","given":"Timothy","email":"tfox@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":488639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":488641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70072108,"text":"70072108 - 2013 - A framework for quantitative assessment of impacts related to energy and mineral resource development","interactions":[],"lastModifiedDate":"2018-10-11T16:41:52","indexId":"70072108","displayToPublicDate":"2013-01-15T12:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A framework for quantitative assessment of impacts related to energy and mineral resource development","docAbstract":"Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9208-6","usgsCitation":"Haines, S.S., Diffendorfer, J., Balistrieri, L.S., Berger, B.R., Cook, T.A., Gautier, D.L., Gallegos, T.J., Gerritsen, M., Graffy, E., Hawkins, S., Johnson, K., Macknick, J., McMahon, P., Modde, T., Pierce, B., Schuenemeyer, J.H., Semmens, D., Simon, B., Taylor, J., and Walton-Day, K., 2013, A framework for quantitative assessment of impacts related to energy and mineral resource development: Natural Resources Research, v. 23, no. 1, p. 3-17, https://doi.org/10.1007/s11053-013-9208-6.","productDescription":"15 p.","startPage":"3","endPage":"17","numberOfPages":"15","ipdsId":"IP-044330","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-013-9208-6","text":"Publisher Index Page"},{"id":281091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9208-6"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"53cd49d6e4b0b290850ef690","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":488482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":488490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":488484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":488481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - 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2013 - Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams","interactions":[],"lastModifiedDate":"2014-01-13T11:02:34","indexId":"70068734","displayToPublicDate":"2013-01-15T10:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams","docAbstract":"Abstract. Small dams enhance the development of patchy microenvironments along stream corridors by trapping sediment and creating complex streambed morphologies. This patchiness drives intricate hyporheic flux patterns that govern the exchange of O2 and redox-sensitive solutes between the water column and the stream bed. We used multiple tracer techniques, naturally occurring and injected, to evaluate hyporheic flow dynamics and associated biogeochemical cycling and microbial reactivity around 2 beaver dams in Wyoming (USA). High-resolution fiber-optic distributed temperature sensing was used to collect temperature data over 9 vertical streambed profiles and to generate comprehensive vertical flux maps using 1-dimensional (1-D) heat-transport modeling. Coincident with these locations, vertical profiles of hyporheic water were collected every week and analyzed for dissolved O2, pH, dissolved organic C, and several conservative and redox-sensitive solutes. In addition, hyporheic and net stream aerobic microbial reactivity were analyzed with a constant-rate injection of the biologically sensitive resazurin (Raz) smart tracer. The combined results revealed a heterogeneous system with rates of downwelling hyporheic flow organized by morphologic unit and tightly coupled to the redox conditions of the subsurface. Principal component analysis was used to summarize the variability of all redox-sensitive species, and results indicated that hyporheic water varied from oxic-stream-like to anoxic-reduced in direct response to the hydrodynamic conditions and associated residence times. The anaerobic transition threshold predicted by the mean O2 Damko\n¨hler number seemed to overestimate the actual transition as indicated by multiple secondary electron acceptors, illustrating the gradient nature of anaerobic transition. Temporal flux variability in low-flux morphologies generated a much greater range in hyporheic redox conditions compared to high-flux zones, and chemical responses to changing flux rates were consistent with those predicted from the empirical relationship between redox condition and residence time. The Raz tracer revealed that hyporheic flow paths have strong net aerobic respiration, particularly at higher residence time, but this reactive exchange did not affect the net stream signal at the reach scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/12-110.1","usgsCitation":"Briggs, M., Lautz, L., and Hare, D.K., 2013, Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams: Freshwater Science, v. 32, no. 2, p. 622-641, https://doi.org/10.1899/12-110.1.","productDescription":"20 p.","startPage":"622","endPage":"641","ipdsId":"IP-042978","costCenters":[],"links":[{"id":280858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/12-110.1"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7011e4b0b29085106d14","contributors":{"authors":[{"text":"Briggs, Martin A.","contributorId":10321,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[],"preferred":false,"id":488079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lautz, Laura","contributorId":59344,"corporation":false,"usgs":true,"family":"Lautz","given":"Laura","affiliations":[],"preferred":false,"id":488080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":488081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042590,"text":"fs20133002 - 2013 - Extreme drought: Summary of hydrologic conditions in Georgia, 2011","interactions":[],"lastModifiedDate":"2026-06-05T13:27:17.420986","indexId":"fs20133002","displayToPublicDate":"2013-01-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3002","title":"Extreme drought: Summary of hydrologic conditions in Georgia, 2011","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 realtime streamgages, including 10 real-time lake-level monitoring stations and 63 realtime water-quality monitors. 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f528efe4b0114312ab01ca","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Eric R. 0000-0002-1867-886X efrantz@usgs.gov","orcid":"https://orcid.org/0000-0002-1867-886X","contributorId":41573,"corporation":false,"usgs":true,"family":"Frantz","given":"Eric","email":"efrantz@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":471900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":471898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042504,"text":"sir20125195 - 2013 - Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","interactions":[],"lastModifiedDate":"2013-01-10T08:32:16","indexId":"sir20125195","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2013","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":"2012-5195","title":"Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","docAbstract":"The Colorado River Basin provides habitat for 14 native fish, including 4 endangered species protected under the Federal Endangered Species Act of 1973. These endangered fish species once thrived in the Colorado River system, but water-resource development, including the building of numerous diversion dams and several large reservoirs, and the introduction of non-native fish, resulted in large reductions in the numbers and range of the four species through loss of habitat and stream function. Understanding how stream conditions and habitat change in response to alterations in streamflow is important for water administrators and wildlife managers and can be determined from an understanding of sediment transport. Characterization of the processes that are controlling sediment transport is an important first step in identifying flow regimes needed for restored channel morphology and the sustained recovery of endangered fishes within these river systems. The U.S. Geological Survey, in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office, began a study in 2004 to characterize sediment transport at selected locations on the Colorado, Gunnison, and Green Rivers to begin addressing gaps in existing datasets and conceptual models of the river systems. This report identifies and characterizes the relation between streamflow (magnitude and timing) and sediment transport and presents the findings through discussions of (1) suspended-sediment transport, (2) incipient motion of streambed material, and (3) a case study of sediment-transport conditions for a reach of the Green River identified as a razorback sucker spawning habitat (See report for full abstract).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125195","collaboration":"Prepared in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office","usgsCitation":"Williams, C.A., Schaffrath, K.R., Elliott, J.G., and Richards, R.J., 2013, Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007: U.S. Geological Survey Scientific Investigations Report 2012-5195, ix, 82 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125195.","productDescription":"ix, 82 p.; col. ill.; maps (col.)","startPage":"i","endPage":"82","numberOfPages":"95","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1965-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":265503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5195.gif"},{"id":265502,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/409/"},{"id":265500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5195/"},{"id":265501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5195/SIR12-5195.pdf"}],"country":"United States","state":"Colorado;Utah","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.05,37.0 ], [ -114.05,42.0 ], [ -102.04,42.0 ], [ -102.04,37.0 ], [ -114.05,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d9ee4b0b290850f199d","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":471656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":471657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":471658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}