{"pageNumber":"713","pageRowStart":"17800","pageSize":"25","recordCount":40783,"records":[{"id":70007274,"text":"70007274 - 2012 - Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70007274","displayToPublicDate":"2012-03-05T15:54:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic","docAbstract":"Application of the cross-borehole flow method, in which short pumping cycles in one borehole are used to induce time-transient flow in another borehole, demonstrated that a simple hydraulic model can characterize the fracture connections in the bedrock mass between the two boreholes. The analysis determines the properties of fracture connections rather than those of individual fractures intersecting a single borehole; the model contains a limited number of adjustable parameters so that any correlation between measured and simulated flow test data is significant. The test was conducted in two 200-m deep boreholes spaced 21 m apart in the Melechov Granite in the Bohemian-Moravian Highland, Czech Republic. Transient flow was measured at depth stations between the identified transmissive fractures in one of the boreholes during short-term pumping and recovery periods in the other borehole. Simulated flows, based on simple model geometries, closely matched the measured flows. The relative transmissivity and storage of the inferred fracture connections were corroborated by tracer testing. The results demonstrate that it is possible to assess the properties of a fracture flow network despite being restricted to making measurements in boreholes in which a local population of discrete fractures regulates the hydraulic communication with the larger-scale aquifer system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10040-011-0787-1","usgsCitation":"Paillet, F.L., Williams, J., Urik, J., Lukes, J., Kobr, M., and Mares, S., 2012, Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic: Hydrogeology Journal, v. 20, no. 1, p. 143-154, https://doi.org/10.1007/s10040-011-0787-1.","productDescription":"12 p.","startPage":"143","endPage":"154","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":204829,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204823,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10040-011-0787-1","linkFileType":{"id":5,"text":"html"}}],"country":"Czech Republic","otherGeospatial":"Bohemian-moravian Highland","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"5059fcc0e4b0c8380cd4e3f3","contributors":{"authors":[{"text":"Paillet, Frederick L.","contributorId":38191,"corporation":false,"usgs":true,"family":"Paillet","given":"Frederick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urik, Joseph","contributorId":89664,"corporation":false,"usgs":true,"family":"Urik","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":356215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukes, Joseph","contributorId":8618,"corporation":false,"usgs":true,"family":"Lukes","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":356211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kobr, Miroslav","contributorId":56376,"corporation":false,"usgs":true,"family":"Kobr","given":"Miroslav","email":"","affiliations":[],"preferred":false,"id":356214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mares, Stanislav","contributorId":28371,"corporation":false,"usgs":true,"family":"Mares","given":"Stanislav","email":"","affiliations":[],"preferred":false,"id":356212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70009624,"text":"70009624 - 2012 - On thinning of chains in MCMC","interactions":[],"lastModifiedDate":"2012-03-07T17:16:31","indexId":"70009624","displayToPublicDate":"2012-03-05T12:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"On thinning of chains in MCMC","docAbstract":"<p><b>1.</b> Markov chain Monte Carlo (MCMC) is a simulation technique that has revolutionised the analysis of ecological data, allowing the fitting of complex models in a Bayesian framework. Since 2001, there have been nearly 200 papers using MCMC in publications of the Ecological Society of America and the British Ecological Society, including more than 75 in the journal <i>Ecology</i> and 35 in the <i>Journal of Applied Ecology</i>.</p>\n<p><b>2.</b> We have noted that many authors routinely 'thin' their simulations, discarding all but every <i>k</i>th sampled value; of the studies we surveyed with details on MCMC implementation, 40% reported thinning.</p>\n<p><b>3.</b> Thinning is often unnecessary and always inefficient, reducing the precision with which features of the Markov chain are summarised. The inefficiency of thinning MCMC output has been known since the early 1990's, long before MCMC appeared in ecological publications.</p>\n<p><b>4.</b> We discuss the background and prevalence of thinning, illustrate its consequences, discuss circumstances when it might be regarded as a reasonable option and recommend against routine thinning of chains unless necessitated by computer memory limitations.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","publisherLocation":"London, England","doi":"10.1111/j.2041-210X.2011.00131.x","usgsCitation":"Link, W., and Eaton, M., 2012, On thinning of chains in MCMC: Methods in Ecology and Evolution, v. 3, no. 1, p. 112-115, https://doi.org/10.1111/j.2041-210X.2011.00131.x.","productDescription":"4 p.","startPage":"112","endPage":"115","numberOfPages":"4","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474553,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2011.00131.x","text":"Publisher Index Page"},{"id":204814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204809,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2011.00131.x","linkFileType":{"id":5,"text":"html"}}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"505a6e15e4b0c8380cd7549e","contributors":{"authors":[{"text":"Link, William A. wlink@usgs.gov","contributorId":3465,"corporation":false,"usgs":true,"family":"Link","given":"William A.","email":"wlink@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":356757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":356758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037749,"text":"ofr20121043 - 2012 - Deep-Sea Turbidites as Guides to Holocene Earthquake History at the Cascadia Subduction Zone&mdash;Alternative Views for a Seismic-Hazard Workshop","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"ofr20121043","displayToPublicDate":"2012-03-05T09:55:00","publicationYear":"2012","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":"2012-1043","title":"Deep-Sea Turbidites as Guides to Holocene Earthquake History at the Cascadia Subduction Zone&mdash;Alternative Views for a Seismic-Hazard Workshop","docAbstract":"This report reviews the geological basis for some recent estimates of earthquake hazards in the Cascadia region between southern British Columbia and northern California. The largest earthquakes to which the region is prone are in the range of magnitude 8-9. The source of these great earthquakes is the fault down which the oceanic Juan de Fuca Plate is being subducted or thrust beneath the North American Plate. Geologic evidence for their occurrence includes sedimentary deposits that have been observed in cores from deep-sea channels and fans. Earthquakes can initiate subaqueous slumps or slides that generate turbidity currents and which produce the sedimentary deposits known as turbidites. The hazard estimates reviewed in this report are derived mainly from deep-sea turbidites that have been interpreted as proxy records of great Cascadia earthquakes. The estimates were first published in 2008. Most of the evidence for them is contained in a monograph now in press. We have reviewed a small part of this evidence, chiefly from Cascadia Channel and its tributaries, all of which head offshore the Pacific coast of Washington State. \r\nAccording to the recent estimates, the Cascadia plate boundary ruptured along its full length in 19 or 20 earthquakes of magnitude 9 in the past 10,000 years; its northern third broke during these giant earthquakes only, and southern segments produced at least 20 additional, lesser earthquakes of Holocene age. The turbidite case for full-length ruptures depends on stratigraphic evidence for simultaneous shaking at the heads of multiple submarine canyons. The simultaneity has been inferred primarily from turbidite counts above a stratigraphic datum, sandy beds likened to strong-motion records, and radiocarbon ages adjusted for turbidity-current erosion. \r\nIn alternatives proposed here, this turbidite evidence for simultaneous shaking is less sensitive to earthquake size and frequency than previously thought. Turbidites far below a channel confluence, instead of representing the merged flows from two tributaries, monitor the dominant tributary only. Sandy beds low in the turbidites, instead of matching from channel to channel, permit divergent stratigraphic correlations; and rather than approximating strong-motion seismograms, the sandy beds more likely record processes internal to the generation and transformation of subaqueous mass movements. The age adjustments, instead of supporting other evidence that all the northern ruptures were long, are uncertain enough to accord with variation in rupture mode, and this variation improves agreement with onshore paleoseismology. Many of the turbidites counted as evidence for frequent earthquakes on the southern Cascadia plate boundary may instead reflect nearness to steep slopes. \r\nThis report is meant to aid in the updating of national maps of seismic hazards in Canada and the United States. It offers three main conclusions for consideration at a U.S. hazard-map workshop slated for March 21-22, 2012: \r\nIf giant earthquakes are the norm for the plate boundary offshore southern Washington, the strongest paleoseismic evidence for this rupture mode is the average earthquake-recurrence interval of about 500 years that is evidenced both offshore in lower Cascadia Channel and onshore at estuaries of southern Washington and northernmost Oregon. \r\nThe plate boundary offshore southern British Columbia and northern Washington may be capable of producing great earthquakes at an average interval as short as 300 years that is evidenced mainly onshore. \r\nReview of more of the turbidite evidence now in press may clarify implications for the hazard maps. Further work on the deep-sea turbidites could target sedimentary processes and chronological uncertainties that may affect the turbidites' sensitivity to fault-rupture lengths and recurrence rates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121043","usgsCitation":"Atwater, B.F., and Griggs, G.B., 2012, Deep-Sea Turbidites as Guides to Holocene Earthquake History at the Cascadia Subduction Zone&mdash;Alternative Views for a Seismic-Hazard Workshop: U.S. Geological Survey Open-File Report 2012-1043, iv, 43 p.; Appendices, https://doi.org/10.3133/ofr20121043.","productDescription":"iv, 43 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":246635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1043.gif"},{"id":246629,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1043/","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Canada","state":"Washington;Oregon;California","otherGeospatial":"British Columbia;Cascadia Plate;Juan De Fuca Plate","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,40 ], [ -120,52 ], [ -135,52 ], [ -135,40 ], [ -120,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe2ce4b0c8380cd4eb7d","contributors":{"authors":[{"text":"Atwater, Brian F. 0000-0003-1155-2815 atwater@usgs.gov","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":3297,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian","email":"atwater@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":462576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griggs, Gary B.","contributorId":88820,"corporation":false,"usgs":true,"family":"Griggs","given":"Gary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70009631,"text":"70009631 - 2012 - Ensemble forecasting of potential habitat for three invasive fishes","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"70009631","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble forecasting of potential habitat for three invasive fishes","docAbstract":"Aquatic invasive species pose major ecological and economic threats to aquatic ecosystems worldwide via displacement, predation, or hybridization with native species and the alteration of aquatic habitats and hydrologic cycles. Modeling the habitat suitability of alien aquatic species through spatially explicit mapping is an increasingly important risk assessment tool. Habitat modeling also facilitates identification of key environmental variables influencing invasive species distributions. We compared four modeling methods to predict the potential continental United States distributions of northern snakehead Channa argus (Cantor, 1842), round goby Neogobius melanostomus (Pallas, 1814), and silver carp Hypophthalmichthys molitrix (Valenciennes, 1844) using maximum entropy (Maxent), the genetic algorithm for rule set production (GARP), DOMAIN, and support vector machines (SVM). We used inventory records from the USGS Nonindigenous Aquatic Species Database and a geographic information system of 20 climatic and environmental variables to generate individual and ensemble distribution maps for each species. The ensemble maps from our study performed as well as or better than all of the individual models except Maxent. The ensemble and Maxent models produced significantly higher accuracy individual maps than GARP, one-class SVMs, or DOMAIN. The key environmental predictor variables in the individual models were consistent with the tolerances of each species. Results from this study provide insights into which locations and environmental conditions may promote the future spread of invasive fish in the US.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki, Finland","usgsCitation":"Poulos, H.M., Chernoff, B., Fuller, P., and Butman, D., 2012, Ensemble forecasting of potential habitat for three invasive fishes: Aquatic Invasions, v. 7, no. 1, p. 59-72.","productDescription":"14 p.","startPage":"59","endPage":"72","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204797,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.aquaticinvasions.net/2012/AI_2012_1_Poulos_etal.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a097de4b0c8380cd51f3a","contributors":{"authors":[{"text":"Poulos, Helen M.","contributorId":75271,"corporation":false,"usgs":true,"family":"Poulos","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernoff, Barry","contributorId":25701,"corporation":false,"usgs":true,"family":"Chernoff","given":"Barry","email":"","affiliations":[],"preferred":false,"id":356772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":356775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":356773,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009618,"text":"sir20125002 - 2012 - Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","interactions":[],"lastModifiedDate":"2023-06-22T16:23:22.162624","indexId":"sir20125002","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","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":"2012-5002","title":"Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","docAbstract":"The Mosier area lies along the Columbia River in northwestern Wasco County between the cities of Hood River and The Dalles, Oregon. Major water uses in the area are irrigation, municipal supply for the city of Mosier, and domestic supply for rural residents. The primary source of water is groundwater from the Columbia River Basalt Group (CRBG) aquifers that underlie the area. Concerns regarding this supply of water arose in the mid-1970s, when groundwater levels in the orchard tract area began to steadily decline. In the 1980s, the Oregon Water Resources Department (OWRD) conducted a study of the aquifer system, which resulted in delineation of an administrative area where parts of the Pomona and Priest Rapids aquifers were withdrawn from further appropriations for any use other than domestic supply. Despite this action, water levels continued to drop at approximately the same, nearly constant annual rate of about 4 feet per year, resulting in a current total decline of between 150 and 200 feet in many wells with continued downward trends. In 2005, the Mosier Watershed Council and the Wasco Soil and Water Conservation District began a cooperative investigation of the groundwater system with the U.S. Geological Survey. The objectives of the study were to advance the scientific understanding of the hydrology of the basin, to assess the sustainability of the water supply, to evaluate the causes of persistent groundwater-level declines, and to evaluate potential management strategies. An additional U.S. Geological Survey objective was to advance the understanding of CRBG aquifers, which are the primary source of water across a large part of Oregon, Washington, and Idaho. In many areas, significant groundwater level declines have resulted as these aquifers were heavily developed for agricultural, municipal, and domestic water supplies. Three major factors were identified as possible contributors to the water-level declines in the study area: (1) pumping at rates that are not sustainable, (2) well construction practices that have resulted in leakage from aquifers into springs and streams, and (3) reduction in aquifer recharge resulting from long-term climate variations. Historical well construction practices, specifically open, unlined, uncased boreholes that result in cross-connecting (or commingling) multiple aquifers, allow water to flow between these aquifers. Water flowing along the path of least resistance, through commingled boreholes, allows the drainage of aquifers that previously stored water more efficiently. The study area is in the eastern foothills of the Cascade Range in north central Oregon in a transitional zone between the High Cascades to the west and the Columbia Plateau to the east. The 78-square mile (mi<sup>2</sup>) area is defined by the drainages of three streams - Mosier Creek (51.8 mi<sup>2</sup>), Rock Creek (13.9 mi<sup>2</sup>), and Rowena Creek (6.9 mi<sup>2</sup>) - plus a small area that drains directly to the Columbia River.The three major components of the study are: (1) a 2-year intensive data collection period to augment previous streamflow and groundwater-level measurements, (2) precipitation-runoff modeling of the watersheds to determine the amount of recharge to the aquifer system, and (3) groundwater-flow modeling and analysis to evaluate the cause of groundwater-level declines and to evaluate possible water resource management strategies. Data collection included the following: 1. Water-level measurements were made in 37 wells. Bi-monthly or quarterly measurements were made in 30 wells, and continuous water-level monitoring instruments were installed in 7 wells. The measurements principally were made to capture the seasonal patterns in the groundwater system, and to augment the available long-term record. 2. Groundwater pumping was measured, reported, or estimated from irrigation, municipal and domestic wells. Flowmeters were installed on 74 percent of all high-capacity irrigation wells in the study area. 3. Borehole geophysical data were collected from a known commingling well. These data measured geologic properties and vertical flow through the well. 4. Streamflow measurements were made in Rock, Rowena, and Mosier Creeks. A long-term recording stream-gaging station was reestablished on Mosier Creek to provide a continuous record of streamflow. Streamflow measurements also were made along the creeks periodically to evaluate seasonal patterns of exchange between streams and the groundwater system. Major findings from the study include: 1. Annual average precipitation ranges from 20 to 54 inches across the study area with an average value of about 30 inches. Based on rainfall-runoff modeling, about one-third of this water infiltrates into the aquifer system. 2. Currently, about 3 percent of the water infiltrated into the groundwater system is extracted for municipal, agricultural, and rural residential use. The remainder of the water flows through the aquifer system, discharging into local streams and the Columbia River. About 80 percent of recent pumping supports crop production. The city of Mosier public supply wells account for about 10 percent of total pumping, with the remaining 10 percent being pumped from the private wells of rural residents. 3. Groundwater-flow simulation results indicate that leakage through commingling wells is a significant and likely the dominant cause of water level declines. Leakage patterns can be complex, but most of the leaked water likely flows out the CRBG aquifer system through very permeable sediments into Mosier Creek and its tributary streams in the OWRD administrative area. Model-derived estimates attribute 80-90 percent of the declines to commingling, with pumping accounting for the remaining 10-20 percent. Although decadal trends in precipitation have occurred, associated changes in aquifer recharge are likely not a significant contributor to the current water level declines. 4. As many as 150 wells might be commingling. To evaluate whether or not the local combination of geology and well construction have resulted in aquifer commingling at a particular well, the well needs to be tested by measuring intraborehole flow. During geophysical testing of one known commingling well, the flow rate through the well between aquifers ranged between 70 and 135 gallons per minute (11-22 percent of total annual pumping in the study area). Historically, when aquifer water levels were 150-200 feet higher, this flow rate would have been correspondingly higher. 5. Because aquifer commingling through well boreholes is likely the dominant cause of aquifer declines, flow simulations were conducted to evaluate the benefit of repairing wells in specified locations and the benefit of recharging aquifers using diverted flow from study area creeks. As part of this analysis, maps were generated that show which areas are more vulnerable to commingling. These maps indicate that the value of repairing wells in the area generally coincident with the OWRD administrative area is higher than in areas farther upstream in the watershed. Simulation results also indicate that artificial recharge of the aquifers using diverted creek water will not significantly improve water levels in the aquifer system unless at least some commingling wells are repaired first. Repairs would entail construction of wells in a manner that prevents commingling of multiple aquifers. The value of artificially recharging the aquifers improves as more wells are repaired because the aquifer system more efficiently stores water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125002","collaboration":"Prepared in cooperation with the Wasco County Soil and Water Conservation District?","usgsCitation":"Burns, E., Morgan, D.S., Lee, K.K., Haynes, J.V., and Conlon, T.D., 2012, Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon: U.S. Geological Survey Scientific Investigations Report 2012-5002, viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F, https://doi.org/10.3133/sir20125002.","productDescription":"viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":204764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5002/","linkFileType":{"id":5,"text":"html"}},{"id":204766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5002.jpg"}],"datum":"North American Datum of 1927","country":"United States","state":"Oregon","city":"Mosier","otherGeospatial":"Mosier Creek, Rock Creek, Rowena Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.55,45.483333333333334 ], [ -121.55,45.75 ], [ -121.16666666666667,45.75 ], [ -121.16666666666667,45.483333333333334 ], [ -121.55,45.483333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c92e4b0c8380cd52bdb","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":356736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, David S.","contributorId":73181,"corporation":false,"usgs":true,"family":"Morgan","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Karl K.","contributorId":41050,"corporation":false,"usgs":true,"family":"Lee","given":"Karl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":356734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009623,"text":"70009623 - 2012 - Numerical models of salt marsh evolution: ecological, geomorphic, and climatic factors","interactions":[],"lastModifiedDate":"2021-01-05T17:57:33.7849","indexId":"70009623","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical models of salt marsh evolution: ecological, geomorphic, and climatic factors","docAbstract":"Salt marshes are delicate landforms at the boundary between the sea and land. These ecosystems support a diverse biota that modifies the erosive characteristics of the substrate and mediates sediment transport processes. Here we present a broad overview of recent numerical models that quantify the formation and evolution of salt marshes under different physical and ecological drivers. In particular, we focus on the coupling between geomorphological and ecological processes and on how these feedbacks are included in predictive models of landform evolution. We describe in detail models that simulate fluxes of water, organic matter, and sediments in salt marshes. The interplay between biological and morphological processes often produces a distinct scarp between salt marshes and tidal flats. Numerical models can capture the dynamics of this boundary and the progradation or regression of the marsh in time. Tidal channels are also key features of the marsh landscape, flooding and draining the marsh platform and providing a source of sediments and nutrients to the marsh ecosystem. In recent years, several numerical models have been developed to describe the morphogenesis and long-term dynamics of salt marsh channels. Finally, salt marshes are highly sensitive to the effects of long-term climatic change. We therefore discuss in detail how numerical models have been used to determine salt marsh survival under different scenarios of sea level rise.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011RG000359","usgsCitation":"Fagherazzi, S., Kirwan, M., Mudd, S.M., Guntenspergen, G.R., Temmerman, S., D’Alpaos, A., van de Koppel, J., Rybczyk, J., Reyes, E., Craft, C., and Clough, J., 2012, Numerical models of salt marsh evolution: ecological, geomorphic, and climatic factors: Reviews of Geophysics, v. 50, no. 1, 28 p., https://doi.org/10.1029/2011RG000359.","productDescription":"28 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474554,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":381883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-06","publicationStatus":"PW","scienceBaseUri":"505a6903e4b0c8380cd73b08","contributors":{"authors":[{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":356754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":356752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mudd, Simon M.","contributorId":107840,"corporation":false,"usgs":true,"family":"Mudd","given":"Simon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":356746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, Stijn","contributorId":71682,"corporation":false,"usgs":true,"family":"Temmerman","given":"Stijn","affiliations":[],"preferred":false,"id":356750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D’Alpaos, Andrea","contributorId":34247,"corporation":false,"usgs":true,"family":"D’Alpaos","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":356749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van de Koppel, Johan","contributorId":26069,"corporation":false,"usgs":true,"family":"van de Koppel","given":"Johan","affiliations":[],"preferred":false,"id":356748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rybczyk, John","contributorId":105793,"corporation":false,"usgs":true,"family":"Rybczyk","given":"John","affiliations":[],"preferred":false,"id":356755,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reyes, Enrique","contributorId":21686,"corporation":false,"usgs":true,"family":"Reyes","given":"Enrique","email":"","affiliations":[],"preferred":false,"id":356747,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Craft, Chris","contributorId":80415,"corporation":false,"usgs":true,"family":"Craft","given":"Chris","email":"","affiliations":[],"preferred":false,"id":356751,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clough, Jonathan","contributorId":86488,"corporation":false,"usgs":true,"family":"Clough","given":"Jonathan","affiliations":[],"preferred":false,"id":356753,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70009630,"text":"ofr20121034 - 2012 - U.S. Department of the Interior Southeast Climate Science Center Science and Operational Plan","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"ofr20121034","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","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":"2012-1034","title":"U.S. Department of the Interior Southeast Climate Science Center Science and Operational Plan","docAbstract":"Climate change challenges many of the basic assumptions routinely used by conservation planners and managers, including the identification and prioritization of areas for conservation based on current environmental conditions and the assumption those conditions could be controlled by management actions. Climate change will likely alter important ecosystem drivers (temperature, precipitation, and sea-level rise) and make it difficult, if not impossible, to maintain current environmental conditions into the future. Additionally, the potential for future conservation of non-conservation lands may be affected by climate change, which further complicates resource planning. Potential changes to ecosystem drivers, as a result of climate change, highlight the need to develop and adapt effective conservation strategies to cope with the effects of climate and landscape change. The U.S. Congress, recognized the potential effects of climate change and authorized the creation of the U.S. Geological Survey National Climate Change and Wildlife Science Center (NCCWSC) in 2008. The directive of the NCCWSC is to produce science that supports resource-management agencies as they anticipate and adapt to the effects of climate change on fish, wildlife, and their habitats. On September 14, 2009, U.S. Department of the Interior (DOI) Secretary Ken Salazar signed Secretarial Order 3289 (amended February 22, 2010), which expanded the mandate of the NCCWSC to address climate-change-related impacts on all DOI resources. Secretarial Order 3289 \"Addressing the Impacts of Climate Change on America's Water, Land, and Other Natural and Cultural Resources,\" established the foundation of two partner-based conservation science entities: Climate Science Centers (CSC) and their primary partners, Landscape Conservation Cooperatives (LCC). CSCs and LCCs are the Department-wide approach for applying scientific tools to increase the understanding of climate change, and to coordinate an effective response to its impacts on tribes and the land, water, ocean, fish and wildlife, and cultural-heritage resources that DOI manages. The NCCWSC is establishing a network of eight DOI CSCs (Alaska, Southeast, Northwest, North Central, Pacific Islands, Southwest, Northeast, and South Central) that will work with a variety of partners and stakeholders to provide resource managers the tools and information they need to help them anticipate and adapt conservation planning and design for projected climate change. The Southeast CSC, a federally led research collaboration hosted by North Carolina State University, was established in 2010. The Southeast CSC brings together the expertise of federal and university scientists to address climate-change priority needs of federal, state, non-governmental, and tribal resource managers. This document is the first draft of a science and operational plan for the Southeast CSC. The document describes operational considerations, provides the context for climate-change impacts in the Southeastern United States, and establishes six major science themes the Southeast CSC will address in collaboration with partners. This document is intended to be reevaluated and modified as partner needs change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121034","usgsCitation":"Jones, S.A., and Dalton, M.S., 2012, U.S. Department of the Interior Southeast Climate Science Center Science and Operational Plan: U.S. Geological Survey Open-File Report 2012-1034, viii, 48 p., https://doi.org/10.3133/ofr20121034.","productDescription":"viii, 48 p.","startPage":"i","endPage":"48","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":214,"text":"DOI Southeast Climate Science Center","active":false,"usgs":true}],"links":[{"id":204792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1034.gif"},{"id":204789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1034/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba40e4b08c986b328082","contributors":{"authors":[{"text":"Jones, Sonya A. 0000-0002-7462-8576 sajones@usgs.gov","orcid":"https://orcid.org/0000-0002-7462-8576","contributorId":1690,"corporation":false,"usgs":true,"family":"Jones","given":"Sonya","email":"sajones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":356771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Melinda S. 0000-0002-2929-5573 msdalton@usgs.gov","orcid":"https://orcid.org/0000-0002-2929-5573","contributorId":267,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda","email":"msdalton@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":356770,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70136188,"text":"70136188 - 2012 - First description of autumn migration of Sooty Falcon Falco concolor from the United Arab Emirates to Madagascar using satellite telemetry","interactions":[],"lastModifiedDate":"2014-12-30T16:45:11","indexId":"70136188","displayToPublicDate":"2012-03-01T16:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1048,"text":"Bird Conservation International","active":true,"publicationSubtype":{"id":10}},"title":"First description of autumn migration of Sooty Falcon Falco concolor from the United Arab Emirates to Madagascar using satellite telemetry","docAbstract":"<p>The movement and migration pattern of the 'Near Threatened' Sooty Falcon Falco concolor is poorly known. Sooty Falcons breed on the islands of the Arabian Gulf after arriving from their non-breeding areas that are mainly in Madagascar. In the first satellite tracking of the species we fitted a 9.5 g Argos solar powered transmitter on an adult breeding Sooty Falcon off the western coast of Abu Dhabi in the United Arab Emirates. The bird successfully undertook autumn migration to Madagascar, a known wintering area for the species. We document the Sooty Falcon's autumn migration route and stop-over sites. The adult Sooty Falcon initiated its migration at night and with tailwinds, and travelled mainly during daytime hours for 13 days over an inland route of more than 5,656 km. The three stop-over sites in East Africa were characterised by moderate to sparse shrub cover associated with potential sources of water. We discuss the migration pattern of the tracked bird in relation to importance of non-breeding areas for Sooty Falcons and recent declines in numbers in their breeding range.</p>","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, England","doi":"10.1017/S0959270911000189","usgsCitation":"Javed, S., Douglas, D.C., Khan, S.N., Nazeer Shah, J., and Ali Al Hammadi, A., 2012, First description of autumn migration of Sooty Falcon Falco concolor from the United Arab Emirates to Madagascar using satellite telemetry: Bird Conservation International, v. 22, no. 1, p. 106-119, https://doi.org/10.1017/S0959270911000189.","productDescription":"14 p.","startPage":"106","endPage":"119","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025642","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":474558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0959270911000189","text":"Publisher Index Page"},{"id":296960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296875,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1017/S0959270911000189"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"54dd2b9ee4b08de9379b3431","contributors":{"authors":[{"text":"Javed, Sàlim","contributorId":13733,"corporation":false,"usgs":false,"family":"Javed","given":"Sàlim","affiliations":[{"id":34107,"text":"Aligarh Muslim University, Aligarh, India","active":true,"usgs":false}],"preferred":false,"id":537481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khan, Shahid Noor","contributorId":87802,"corporation":false,"usgs":true,"family":"Khan","given":"Shahid","email":"","middleInitial":"Noor","affiliations":[],"preferred":false,"id":537482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nazeer Shah, Junid","contributorId":131151,"corporation":false,"usgs":false,"family":"Nazeer Shah","given":"Junid","email":"","affiliations":[],"preferred":false,"id":537483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ali Al Hammadi, Abdullah","contributorId":131152,"corporation":false,"usgs":false,"family":"Ali Al Hammadi","given":"Abdullah","email":"","affiliations":[],"preferred":false,"id":537484,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007128,"text":"70007128 - 2012 - Can elevated CO<sub>2</sub> modify regeneration from seed banks of floating freshwater marshes subjected to rising sea-level?","interactions":[],"lastModifiedDate":"2012-03-05T17:16:01","indexId":"70007128","displayToPublicDate":"2012-03-01T14:40:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Can elevated CO<sub>2</sub> modify regeneration from seed banks of floating freshwater marshes subjected to rising sea-level?","docAbstract":"Higher atmospheric concentrations of CO<sub>2</sub> can offset the negative effects of flooding or salinity on plant species, but previous studies have focused on mature, rather than regenerating vegetation. This study examined how interacting environments of CO<sub>2</sub>, water regime, and salinity affect seed germination and seedling biomass of floating freshwater marshes in the Mississippi River Delta, which are dominated by C<sub>3</sub> grasses, sedges, and forbs. Germination density and seedling growth of the dominant species depended on multifactor interactions of CO<sub>2</sub> (385 and 720 &mu;l l<sup>-1</sup>) with flooding (drained, +8-cm depth, +8-cm depth-gradual) and salinity (0, 6% seawater) levels. Of the three factors tested, salinity was the most important determinant of seedling response patterns. Species richness (total = 19) was insensitive to CO<sub>2</sub>. Our findings suggest that for freshwater marsh communities, seedling response to CO<sub>2</sub> is species-specific and secondary to salinity and flooding effects. Elevated CO<sub>2</sub> did not ameliorate flooding or salinity stress. Consequently, climate-related changes in sea level or human-caused alterations in hydrology may override atmospheric CO<sub>2</sub> concentrations in driving shifts in this plant community. The results of this study suggest caution in making extrapolations from species-specific responses to community-level predictions without detailed attention to the nuances of multifactor responses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherland","doi":"10.1007/s10750-011-0946-3","usgsCitation":"Middleton, B.A., and McKee, K.L., 2012, Can elevated CO<sub>2</sub> modify regeneration from seed banks of floating freshwater marshes subjected to rising sea-level?: Hydrobiologia, v. 683, no. 1, p. 123-133, https://doi.org/10.1007/s10750-011-0946-3.","productDescription":"11 p.","startPage":"123","endPage":"133","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474561,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-011-0946-3","text":"Publisher Index Page"},{"id":204830,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204819,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10750-011-0946-3","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Mississippi River Delta","volume":"683","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-22","publicationStatus":"PW","scienceBaseUri":"5059f334e4b0c8380cd4b668","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":355896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":355897,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155350,"text":"70155350 - 2012 - CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes","interactions":[],"lastModifiedDate":"2015-08-07T11:46:39","indexId":"70155350","displayToPublicDate":"2012-03-01T12:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes","docAbstract":"<p><span>We introduce Cost Distance FISHeries (CDFISH), a simulator of population genetics and connectivity in complex riverscapes for a wide range of environmental scenarios of aquatic organisms. The spatially-explicit program implements individual-based genetic modeling with Mendelian inheritance and&nbsp;</span><i class=\"EmphasisTypeItalic\">k</i><span>-allele mutation on a riverscape with resistance to movement. The program simulates individuals in subpopulations through time employing user-defined functions of individual migration, reproduction, mortality, and dispersal through straying on a continuous resistance surface.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s12686-011-9492-6","usgsCitation":"Erin L. Landguth, Muhlfeld, C.C., and Luikart, G., 2012, CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes: Conservation Genetics Resources, v. 4, no. 1, p. 133-136, https://doi.org/10.1007/s12686-011-9492-6.","productDescription":"4 p.","startPage":"133","endPage":"136","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029324","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"57f7f529e4b0bc0bec0a1470","contributors":{"authors":[{"text":"Erin L. Landguth","contributorId":145873,"corporation":false,"usgs":false,"family":"Erin L. Landguth","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":565536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":565535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":565537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045104,"text":"70045104 - 2012 - GEM Basic Building Taxonomy (Version 1.0)","interactions":[],"lastModifiedDate":"2014-05-30T14:39:28","indexId":"70045104","displayToPublicDate":"2012-03-01T11:31:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"GEM Basic Building Taxonomy (Version 1.0)","docAbstract":"<p>This report documents the development of Global Earthquake Model (GEM) Basic Building Taxonomy and it also provides\nversion 1.0 of this Taxonomy for its immediate application within GEM Physical Risk projects. Criteria for development of\nthe GEM Building Taxonomy required that the Taxonomy be relevant to seismic performance of different construction\ntypes; be comprehensive yet simple; be collapsible; be adhering to principles that are familiar to the range of users; and\nultimately be extensible to non-buildings and other hazards.</p>\n<br>\n<p>The taxonomy is organized as a series of expandable tables, which contain information pertaining to various building\nattributes. Each attribute describes a specific characteristic that could potentially affect the seismic performance of a\nbuilding. This report describes the structure and the content of the Basic Building Taxonomy, which consists of eight\nbasic attributes, in detail. These attributes were selected after a series of interactions/discussions with all the GEM\nPhysical Risk Global Component project teams. In addition, we also tried to gather feedback from a number of participants\noutside the GEM Risk Consortium group. The Basic Taxonomy attributes discussed in this report are: material; lateral\nload-resisting system; roof; floor; building height; date of construction; structural irregularity, and occupancy. A future\nDetailed Building Taxonomy will provide more details related to certain aforementioned attributes in the Basic Building\nTaxonomy. As well, it will also include additional attributes that are necessary for assessing building vulnerability using\nanalytical procedures.</p>\n<br>\n<p>The report also illustrates the practical use of the proposed GEM Basic Building Taxonomy by discussing example case\nstudies, wherein the building-specific characteristics are mapped directly using GEM Taxonomic attributes and a simple\ntaxonomic string is constructed for that building. The building taxonomy data model is highly flexible and it can be easily\nincorporated within the relational database architecture. Due to its ability to represent building typologies using a\nshorthand form, it is also possible to use this taxonomy for non-database applications. Key terms in the taxonomy are\nexplained in an online glossary, which provides both text and graphic descriptions for the attributes and their details.</p>","language":"English","publisher":"GEM Nexus","collaboration":"Report produced in the context of the GEM Ontology and Taxonomy Global Component project","usgsCitation":"Brzev, S., Scawthorn, C., Charleson, A., and Jaiswal, K., 2012, GEM Basic Building Taxonomy (Version 1.0), iii, 39 p.","productDescription":"iii, 39 p.","ipdsId":"IP-037240","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":282395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282394,"type":{"id":15,"text":"Index Page"},"url":"https://www.nexus.globalquakemodel.org/gem-building-taxonomy/posts/updated-gem-basic-building-taxonomy-v1.0"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae76d0e4b0abf75cf2c02e","contributors":{"authors":[{"text":"Brzev, S.","contributorId":47291,"corporation":false,"usgs":true,"family":"Brzev","given":"S.","email":"","affiliations":[],"preferred":false,"id":476803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scawthorn, C.","contributorId":65763,"corporation":false,"usgs":true,"family":"Scawthorn","given":"C.","email":"","affiliations":[],"preferred":false,"id":476804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charleson, A.W.","contributorId":23845,"corporation":false,"usgs":true,"family":"Charleson","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":476802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, K.","contributorId":89260,"corporation":false,"usgs":true,"family":"Jaiswal","given":"K.","affiliations":[],"preferred":false,"id":476805,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70146288,"text":"70146288 - 2012 - Sequestration of non-pure carbon dioxide streams in iron oxyhydroxide-containing saline repositories","interactions":[],"lastModifiedDate":"2015-04-20T10:28:19","indexId":"70146288","displayToPublicDate":"2012-03-01T11:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Sequestration of non-pure carbon dioxide streams in iron oxyhydroxide-containing saline repositories","docAbstract":"<p>Iron oxyhydroxide, goethite (&alpha;-FeOOH), was evaluated as a potential formation mineral reactant for trapping CO<sub>2</sub> in a mineral phase such as siderite (FeCO<sub>3</sub>), when a mixture of CO<sub>2</sub>-SO <sub>2</sub> flue gas is injected into a saline aquifer. Two thermodynamic simulations were conducted, equilibrating a CO<sub>2</sub>-SO<sub>2</sub> fluid mixture with a NaCl-brine and Fe-rich rocks at 150 &deg;C and 300 bar. The modeling studies evaluated mineral and fluid composition at equilibrium and the influence of pH buffering in the system. Results show siderite precipitates both in the buffered and unbuffered system; however, the presence of an alkaline pH buffer enhances the stability of the carbonate. Based on the model, an experiment was designed to compare with thermodynamic predictions. A CO<sub>2</sub>-SO<sub>2</sub> gas mixture was reacted in 150 ml of NaCl-NaOH brine containing 10 g of goethite at 150 &deg;C and 300 bar for 24 days. Mineralogical and brine chemistry confirmed siderite as the predominant reaction product in the system. Seventy-six mg of CO<sub>2</sub> are sequestered in siderite per 10 g of goethite.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ijggc.2011.12.004","usgsCitation":"Garcia, S., Rosenbauer, R.J., Palandri, J.L., and Maroto-Valer, M.M., 2012, Sequestration of non-pure carbon dioxide streams in iron oxyhydroxide-containing saline repositories: International Journal of Greenhouse Gas Control, v. 7, p. 89-97, https://doi.org/10.1016/j.ijggc.2011.12.004.","productDescription":"9 p.","startPage":"89","endPage":"97","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026725","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2011.12.004","text":"Publisher Index Page"},{"id":299778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55362348e4b0b22a15807abc","contributors":{"authors":[{"text":"Garcia, S.","contributorId":91333,"corporation":false,"usgs":true,"family":"Garcia","given":"S.","affiliations":[],"preferred":false,"id":544945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palandri, James L.","contributorId":32235,"corporation":false,"usgs":true,"family":"Palandri","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":544943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maroto-Valer, M. Mercedes","contributorId":29666,"corporation":false,"usgs":false,"family":"Maroto-Valer","given":"M.","email":"","middleInitial":"Mercedes","affiliations":[],"preferred":false,"id":544944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042572,"text":"70042572 - 2012 - A terrain-based site characterization map of California with implications for the contiguous United States","interactions":[],"lastModifiedDate":"2020-09-11T18:07:54.167653","indexId":"70042572","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A terrain-based site characterization map of California with implications for the contiguous United States","docAbstract":"<p><span>We present an approach based on geomorphometry to predict material properties and characterize site conditions using the&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;parameter (time‐averaged shear‐wave velocity to a depth of 30&nbsp;m). Our framework consists of an automated terrain classification scheme based on taxonomic criteria (slope gradient, local convexity, and surface texture) that systematically identifies 16 terrain types from 1‐km spatial resolution (30&nbsp;arcsec) Shuttle Radar Topography Mission digital elevation models (SRTMDEMs). Using 853&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;values from California, we apply a simulation‐based statistical method to determine the mean&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;for each terrain type in California. We then compare the&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;values with models based on individual proxies, such as mapped surface geology and topographic slope, and show that our systematic terrain‐based approach consistently performs better than semiempirical estimates based on individual proxies. To further evaluate our model, we apply our California‐based estimates to terrains of the contiguous United States. Comparisons of our estimates with 325&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;measurements outside of California, as well as estimates based on the topographic slope model, indicate our method to be statistically robust and more accurate. Our approach thus provides an objective and robust method for extending estimates of&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;for regions where&nbsp;</span><i>in situ</i><span>&nbsp;measurements are sparse or not readily available.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120100262","usgsCitation":"Yong, A.K., Hough, S.E., Iwahashi, J., and Braverman, A., 2012, A terrain-based site characterization map of California with implications for the contiguous United States: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 114-128, https://doi.org/10.1785/0120100262.","productDescription":"15 p.","startPage":"114","endPage":"128","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024850","costCenters":[{"id":237,"text":"Earthquake Science 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,{"id":70043474,"text":"70043474 - 2012 - Applying additive modeling and gradient boosting to assess the effects of watershed and reach characteristics on riverine assemblages","interactions":[],"lastModifiedDate":"2017-07-24T12:58:16","indexId":"70043474","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Applying additive modeling and gradient boosting to assess the effects of watershed and reach characteristics on riverine assemblages","docAbstract":"Issues with ecological data (e.g. non-normality of errors, nonlinear relationships and autocorrelation of variables) and modelling (e.g. overfitting, variable selection and prediction) complicate regression analyses in ecology. Flexible models, such as generalized additive models (GAMs), can address data issues, and machine learning techniques (e.g. gradient boosting) can help resolve modelling issues. Gradient boosted GAMs do both. Here, we illustrate the advantages of this technique using data on benthic macroinvertebrates and fish from 1573 small streams in Maryland, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.2041-210X.2011.00124.x","usgsCitation":"Maloney, K.O., Schmid, M., and Weller, D., 2012, Applying additive modeling and gradient boosting to assess the effects of watershed and reach characteristics on riverine assemblages: Methods in Ecology and Evolution, v. 3, no. 1, p. 116-128, https://doi.org/10.1111/j.2041-210X.2011.00124.x.","startPage":"116","endPage":"128","ipdsId":"IP-028735","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2011.00124.x","text":"Publisher Index Page"},{"id":267578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2011.00124.x"}],"country":"United States","volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-02","publicationStatus":"PW","scienceBaseUri":"511f66f6e4b03b29402c5d71","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, Matthias","contributorId":32423,"corporation":false,"usgs":true,"family":"Schmid","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":473668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weller, Donald E.","contributorId":59705,"corporation":false,"usgs":true,"family":"Weller","given":"Donald E.","affiliations":[],"preferred":false,"id":473669,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042523,"text":"70042523 - 2012 - Kinematics of the New Madrid seismic zone, central United States, based on stepover models","interactions":[],"lastModifiedDate":"2013-02-23T08:42:46","indexId":"70042523","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Kinematics of the New Madrid seismic zone, central United States, based on stepover models","docAbstract":"Seismicity in the New Madrid seismic zone (NMSZ) of the central United States is generally attributed to a stepover structure in which the Reelfoot thrust fault transfers slip between parallel strike-slip faults. However, some arms of the seismic zone do not fit this simple model. Comparison of the NMSZ with an analog sandbox model of a restraining stepover structure explains all of the arms of seismicity as only part of the extensive pattern of faults that characterizes stepover structures. Computer models show that the stepover structure may form because differences in the trends of lower crustal shearing and inherited upper crustal faults make a step between en echelon fault segments the easiest path for slip in the upper crust. The models predict that the modern seismicity occurs only on a subset of the faults in the New Madrid stepover structure, that only the southern part of the stepover structure ruptured in the A.D. 1811–1812 earthquakes, and that the stepover formed because the trends of older faults are not the same as the current direction of shearing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G32624.1","usgsCitation":"Pratt, T.L., 2012, Kinematics of the New Madrid seismic zone, central United States, based on stepover models: Geology, v. 40, no. 4, p. 371-374, https://doi.org/10.1130/G32624.1.","startPage":"371","endPage":"374","ipdsId":"IP-027893","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32624.1"}],"country":"United States","volume":"40","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5129f331e4b04edf7e93f8fb","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471693,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179370,"text":"70179370 - 2012 - Grain-size segregation and levee formation in geophysical mass flows","interactions":[],"lastModifiedDate":"2021-03-30T16:38:15.189682","indexId":"70179370","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Grain-size segregation and levee formation in geophysical mass flows","docAbstract":"<p><span>Data from large-scale debris-flow experiments are combined with modeling of particle-size segregation to explain the formation of lateral levees enriched in coarse grains. The experimental flows consisted of 10&nbsp;m</span><sup>3</sup><span> of water-saturated sand and gravel, which traveled ∼80 m down a steeply inclined flume before forming an elongated leveed deposit 10&nbsp;m long on a nearly horizontal runout surface. We measured the surface velocity field and observed the sequence of deposition by seeding tracers onto the flow surface and tracking them in video footage. Levees formed by progressive downslope accretion approximately 3.5&nbsp;m behind the flow front, which advanced steadily at ∼2 m s</span><sup>−1</sup><span>during most of the runout. Segregation was measured by placing ∼600 coarse tracer pebbles on the bed, which, when entrained into the flow, segregated upwards at ∼6–7.5&nbsp;cm s</span><sup>−1</sup><span>. When excavated from the deposit these were distributed in a horseshoe-shaped pattern that became increasingly elevated closer to the deposit termination. Although there was clear evidence for inverse grading during the flow, transect sampling revealed that the resulting leveed deposit was strongly graded laterally, with only weak vertical grading. We construct an empirical, three-dimensional velocity field resembling the experimental observations, and use this with a particle-size segregation model to predict the segregation and transport of material through the flow. We infer that coarse material segregates to the flow surface and is transported to the flow front by shear. Within the flow head, coarse material is overridden, then recirculates in spiral trajectories due to size-segregation, before being advected to the flow edges and deposited to form coarse-particle-enriched levees.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2011JF002185","usgsCitation":"Johnson, C., Kokelaar, B.P., Iverson, R.M., Logan, M., LaHusen, R., and Gray, J., 2012, Grain-size segregation and levee formation in geophysical mass flows: Journal of Geophysical Research, v. 117, no. F1, 23 p., https://doi.org/10.1029/2011JF002185.","productDescription":"23 p.","ipdsId":"IP-032053","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jf002185","text":"Publisher Index Page"},{"id":332676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"F1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-22","publicationStatus":"PW","scienceBaseUri":"586781f9e4b0cd2dabe7c723","contributors":{"authors":[{"text":"Johnson, C.G.","contributorId":177752,"corporation":false,"usgs":false,"family":"Johnson","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":656952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kokelaar, B. P.","contributorId":177753,"corporation":false,"usgs":false,"family":"Kokelaar","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":656953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":656951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, M.","contributorId":45856,"corporation":false,"usgs":true,"family":"Logan","given":"M.","affiliations":[],"preferred":false,"id":657043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaHusen, R.G.","contributorId":105742,"corporation":false,"usgs":true,"family":"LaHusen","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":657044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, J.M.N.T.","contributorId":67374,"corporation":false,"usgs":true,"family":"Gray","given":"J.M.N.T.","email":"","affiliations":[],"preferred":false,"id":657045,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193792,"text":"70193792 - 2012 - Wetland hydrodynamics and long-term use of spring migration areas by lesser scaup in eastern South Dakota","interactions":[],"lastModifiedDate":"2017-11-08T14:56:09","indexId":"70193792","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1859,"text":"Great Plains Research","active":true,"publicationSubtype":{"id":10}},"title":"Wetland hydrodynamics and long-term use of spring migration areas by lesser scaup in eastern South Dakota","docAbstract":"<p><span>Lesser scaup (</span><i>Aythya affinis</i><span><span>&nbsp;</span>[Eyton]) populations remain below their long-term average despite improved habitat conditions along spring migration routes and at breeding grounds. Scaup are typically associated with large, semipermanent wetlands and exhibit regional preferences along migration routes. Identifying consistently used habitats for conservation and restoration is complicated by irregular wetland availability due to the dynamic climate. We modeled long-term wetland use by lesser scaup in eastern South Dakota based on surveys conducted during below-average (1987-1989) and above-average (1993-2002) water condition years. Wetland permanence, longitude, and physiographic region were all significant determinants of use (P&lt;0.01). Long-term use was best described by a quadratic equation including wetland surface area variability, an index of wetland hydrodynamics that is linked to productivity, biodiversity, and value to waterfowl. Contrary to previous findings, our study shows that over the long term, lesser scaup are more than twice as likely to use permanent wetlands as they are semipermanent wetlands. The northern region of South Dakota's Prairie Coteau, which holds the highest density of hydrologically dynamic permanent wetlands, should be considered an area of conservation concern for lesser scaup. The criteria we identified may be used to identify important lesser scaup habitats in other regions of the Prairie Pothole Region.</span></p>","language":"English","publisher":"Center for Great Plains Studies","usgsCitation":"Kahara, S.N., and Chipps, S.R., 2012, Wetland hydrodynamics and long-term use of spring migration areas by lesser scaup in eastern South Dakota: Great Plains Research, v. 22, no. 1, p. 69-78.","productDescription":"10 p.","startPage":"69","endPage":"78","ipdsId":"IP-035168","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348483,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.unl.edu/greatplainsresearch/1215/"}],"country":"United States","state":"South Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425f1e4b0dc0b45b456ea","contributors":{"authors":[{"text":"Kahara, Sharon N.","contributorId":199981,"corporation":false,"usgs":false,"family":"Kahara","given":"Sharon","email":"","middleInitial":"N.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":720515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720514,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70008264,"text":"70008264 - 2012 - Does mercury contamination reduce body condition of endangered California clapper rails?","interactions":[],"lastModifiedDate":"2018-11-19T08:46:27","indexId":"70008264","displayToPublicDate":"2012-02-29T12:18:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Does mercury contamination reduce body condition of endangered California clapper rails?","docAbstract":"We examined mercury exposure in 133 endangered California clapper rails (<i>Rallus longirostris obsoletus</i>) within tidal marsh habitats of San Francisco Bay, California from 2006 to 2010. Mean total mercury concentrations were 0.56 &mu;g/g ww in blood (range: 0.15&ndash;1.43), 9.87 &mu;g/g fw in head feathers (3.37&ndash;22.0), 9.04 &mu;g/g fw in breast feathers (3.68&ndash;20.2), and 0.57 &mu;g/g fww in abandoned eggs (0.15&ndash;2.70). We recaptured 21 clapper rails and most had low within-individual variation in mercury. Differences in mercury concentrations were largely attributed to tidal marsh site, with some evidence for year and quadratic date effects. Mercury concentrations in feathers were correlated with blood, and slopes differed between sexes (<i>R<sup>2</sup></i> = 0.58&ndash;0.76). Body condition was negatively related to mercury concentrations. Model averaged estimates indicated a potential decrease in body mass of 20&ndash;22 g (5&ndash;7%) over the observed range of mercury concentrations. Our results indicate the potential for detrimental effects of mercury contamination on endangered California clapper rails in tidal marsh habitats.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envpol.2011.12.004","usgsCitation":"Ackerman, J., Overton, C.T., Casazza, M.L., Takekawa, J.Y., Eagles-Smith, C.A., Keister, R.A., and Herzog, M., 2012, Does mercury contamination reduce body condition of endangered California clapper rails?: Environmental Pollution, v. 162, p. 439-448, https://doi.org/10.1016/j.envpol.2011.12.004.","productDescription":"10 p.","startPage":"439","endPage":"448","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0394e4b0c8380cd50554","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":356695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":356691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":356694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":356690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keister, Robin A. rkeister@usgs.gov","contributorId":4540,"corporation":false,"usgs":true,"family":"Keister","given":"Robin","email":"rkeister@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":356693,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":356692,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70008311,"text":"70008311 - 2012 - Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells to contamination","interactions":[],"lastModifiedDate":"2025-05-07T19:51:28.756767","indexId":"70008311","displayToPublicDate":"2012-02-29T12:01:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells to contamination","docAbstract":"<p><span>Environmental age tracers have been used in various ways to help assess vulnerability of drinking-water production wells to contamination. The most appropriate approach will depend on the information that is available and that which is desired. To understand how the well will respond to changing nonpoint-source contaminant inputs at the water table, some representation of the distribution of groundwater ages in the well is needed. Such information for production wells is sparse and difficult to obtain, especially in areas lacking detailed field studies. In this study, age distributions derived from detailed groundwater-flow models with advective particle tracking were compared with those generated from lumped-parameter models to examine conditions in which estimates from simpler, less resource-intensive lumped-parameter models could be used in place of estimates from particle-tracking models. In each of four contrasting hydrogeologic settings in the USA, particle-tracking and lumped-parameter models yielded roughly similar age distributions and largely indistinguishable contaminant trends when based on similar conceptual models and calibrated to similar tracer data. Although model calibrations and predictions were variably affected by tracer limitations and conceptual ambiguities, results illustrated the importance of full age distributions, rather than apparent tracer ages or model mean ages, for trend analysis and forecasting.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10040-011-0810-6","usgsCitation":"Eberts, S.M., Böhlke, J., Kauffman, L.J., and Jurgens, B., 2012, Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells to contamination: Hydrogeology Journal, v. 20, no. 2, p. 263-282, https://doi.org/10.1007/s10040-011-0810-6.","productDescription":"20 p.","startPage":"263","endPage":"282","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":204758,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-01-05","publicationStatus":"PW","scienceBaseUri":"5059f87de4b0c8380cd4d136","contributors":{"authors":[{"text":"Eberts, S. M.","contributorId":28276,"corporation":false,"usgs":true,"family":"Eberts","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":356699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, L. J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":65217,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jurgens, B.C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":90410,"corporation":false,"usgs":true,"family":"Jurgens","given":"B.C.","affiliations":[],"preferred":false,"id":356698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009622,"text":"70009622 - 2012 - On the relationship between sea level and <i>Spartina alterniflora</i> production","interactions":[],"lastModifiedDate":"2012-03-05T17:16:01","indexId":"70009622","displayToPublicDate":"2012-02-29T11:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"On the relationship between sea level and <i>Spartina alterniflora</i> production","docAbstract":"A positive relationship between interannual sea level and plant growth is thought to stabilize many coastal landforms responding to accelerating rates of sea level rise. Numerical models of delta growth, tidal channel network evolution, and ecosystem resilience incorporate a hump-shaped relationship between inundation and plant primary production, where vegetation growth increases with sea level up to an optimum water depth or inundation frequency. In contrast, we use decade-long measurements of <i>Spartina alterniflora</i> biomass in seven coastal Virginia (USA) marshes to demonstrate that interannual sea level is rarely a primary determinant of vegetation growth. Although we find tepid support for a hump-shaped relationship between aboveground production and inundation when marshes of different elevation are considered, our results suggest that marshes high in the intertidal zone and low in relief are unresponsive to sea level fluctuations. We suggest existing models are unable to capture the behavior of wetlands in these portions of the landscape, and may underestimate their vulnerability to sea level rise because sea level rise will not be accompanied by enhanced plant growth and resultant sediment accumulation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10021-011-9498-7","usgsCitation":"Kirwan, M., Christian, R.R., Blum, L., and Brinson, M., 2012, On the relationship between sea level and <i>Spartina alterniflora</i> production: Ecosystems, v. 15, no. 1, p. 140-147, https://doi.org/10.1007/s10021-011-9498-7.","productDescription":"8 p.","startPage":"140","endPage":"147","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204808,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10021-011-9498-7","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-01","publicationStatus":"PW","scienceBaseUri":"505a6defe4b0c8380cd753e8","contributors":{"authors":[{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":356743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christian, Robert R.","contributorId":96412,"corporation":false,"usgs":true,"family":"Christian","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":356745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blum, Linda K.","contributorId":92794,"corporation":false,"usgs":true,"family":"Blum","given":"Linda K.","affiliations":[],"preferred":false,"id":356744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinson, Mark M.","contributorId":45761,"corporation":false,"usgs":true,"family":"Brinson","given":"Mark M.","affiliations":[],"preferred":false,"id":356742,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70008193,"text":"70008193 - 2012 - A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes","interactions":[],"lastModifiedDate":"2018-12-17T13:50:18","indexId":"70008193","displayToPublicDate":"2012-02-29T11:10:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes","docAbstract":"Changes in land use, land cover, disturbance regimes, and land management have considerable influence on carbon and greenhouse gas (GHG) fluxes within ecosystems. Through targeted land-use and land-management activities, ecosystems can be managed to enhance carbon sequestration and mitigate fluxes of other GHGs. National-scale, comprehensive analyses of carbon sequestration potential by ecosystem are needed, with a consistent, nationally applicable land-use and land-cover (LULC) modeling framework a key component of such analyses. The U.S. Geological Survey has initiated a project to analyze current and projected future GHG fluxes by ecosystem and quantify potential mitigation strategies. We have developed a unique LULC modeling framework to support this work. Downscaled scenarios consistent with IPCC Special Report on Emissions Scenarios (SRES) were constructed for U.S. ecoregions, and the FORE-SCE model was used to spatially map the scenarios. Results for a prototype demonstrate our ability to model LULC change and inform a biogeochemical modeling framework for analysis of subsequent GHG fluxes. The methodology was then successfully used to model LULC change for four IPCC SRES scenarios for an ecoregion in the Great Plains. The scenario-based LULC projections are now being used to analyze potential GHG impacts of LULC change across the U.S.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeog.2011.10.019","usgsCitation":"Sohl, T.L., Sleeter, B.M., Zhu, Z., Sayler, K., Bennett, S., Bouchard, M., Reker, R.R., Hawbaker, T., Wein, A., Liu, S., Kanengieter, R., and Acevedo, W., 2012, A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes: Applied Geography, v. 34, p. 111-124, https://doi.org/10.1016/j.apgeog.2011.10.019.","productDescription":"14 p.","startPage":"111","endPage":"124","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":204757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e430e4b0c8380cd464a2","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":356674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":356678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":356681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":356677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Stacie","contributorId":83259,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacie","affiliations":[],"preferred":false,"id":356682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouchard, Michelle 0000-0002-6353-3491 mbouchard@usgs.gov","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":3765,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle","email":"mbouchard@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":356679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":356680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawbaker, Todd","contributorId":91069,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","affiliations":[],"preferred":false,"id":356684,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":356673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":356675,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kanengieter, Ronald","contributorId":83396,"corporation":false,"usgs":true,"family":"Kanengieter","given":"Ronald","affiliations":[],"preferred":false,"id":356683,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":356676,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70007537,"text":"ofr20061260F - 2012 - Surficial geologic map of the Norton-Manomet-Westport-Sconticut Neck 23-quadrangle area in southeast Massachusetts","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ofr20061260F","displayToPublicDate":"2012-02-28T00:00:00","publicationYear":"2012","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":"2006-1260","chapter":"F","title":"Surficial geologic map of the Norton-Manomet-Westport-Sconticut Neck 23-quadrangle area in southeast Massachusetts","docAbstract":"The surficial geologic map shows the distribution of nonlithified earth materials at land surface in an area of 23 7.5-minute quadrangles (919 mi<sup>2</sup> total) in southeastern Massachusetts. Across Massachusetts, these materials range from a few feet to more than 500 ft in thickness. They overlie bedrock, which crops out in upland hills and as resistant ledges in valley areas. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (such as grain size and sedimentary structures), constructional geomorphic features, stratigraphic relationships, and age. Surficial materials also are known in engineering classifications as unconsolidated soils, which include coarse-grained soils, fine-grained soils, and organic fine-grained soils. Surficial materials underlie and are the parent materials of modern pedogenic soils, which have developed in them at the land surface. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for assessing water resources, construction aggregate resources, and earth-surface hazards, and for making land-use decisions. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text (PDF), quadrangle maps at 1:24,000 scale (PDF files), GIS data layers (ArcGIS shapefiles), metadata for the GIS layers, scanned topographic base maps (TIF), and a readme.txt file.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061260F","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts Massachusetts Geological Survey and Executive Office for Administration and Finance","usgsCitation":"Stone, B.D., Stone, J.R., DiGiacomo-Cohen, M.L., and Kincare, K.A., 2012, Surficial geologic map of the Norton-Manomet-Westport-Sconticut Neck 23-quadrangle area in southeast Massachusetts: U.S. Geological Survey Open-File Report 2006-1260, iv, 15 p.; Appendix; Downloads Directory; Graphics Directory; ZIP Download of Report, https://doi.org/10.3133/ofr20061260F.","productDescription":"iv, 15 p.; Appendix; Downloads Directory; Graphics Directory; ZIP Download of Report","startPage":"i","endPage":"22","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":204738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1260_F.jpg"},{"id":115896,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1260/F/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba21be4b08c986b31f4ed","contributors":{"authors":[{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":356633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":356632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiGiacomo-Cohen, Mary L.","contributorId":45253,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":356634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007542,"text":"fs20123015 - 2012 - AquaPathogen X--A template database for tracking field isolates of aquatic pathogens","interactions":[],"lastModifiedDate":"2012-02-29T17:02:32","indexId":"fs20123015","displayToPublicDate":"2012-02-28T00:00:00","publicationYear":"2012","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":"2012-3015","title":"AquaPathogen X--A template database for tracking field isolates of aquatic pathogens","docAbstract":"AquaPathogen X is a template database for recording information on individual isolates of aquatic pathogens and is available for download from the U.S. Geological Survey (USGS) Western Fisheries Research Center (WFRC) website (http://wfrc.usgs.gov). This template database can accommodate the nucleotide sequence data generated in molecular epidemiological studies along with the myriad of abiotic and biotic traits associated with isolates of various pathogens (for example, viruses, parasites, or bacteria) from multiple aquatic animal host species (for example, fish, shellfish, or shrimp). The simultaneous cataloging of isolates from different aquatic pathogens is a unique feature to the AquaPathogen X database, which can be used in surveillance of emerging aquatic animal diseases and clarification of main risk factors associated with pathogen incursions into new water systems. As a template database, the data fields are empty upon download and can be modified to user specifications. For example, an application of the template database that stores the epidemiological profiles of fish virus isolates, called Fish ViroTrak (fig. 1), was also developed (Emmenegger and others, 2011).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123015","usgsCitation":"Emmenegger, E., and Kurath, G., 2012, AquaPathogen X--A template database for tracking field isolates of aquatic pathogens: U.S. Geological Survey Fact Sheet 2012-3015, 4 p., https://doi.org/10.3133/fs20123015.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":204723,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3015/","linkFileType":{"id":5,"text":"html"}},{"id":204740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3015.png"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed03e4b0c8380cd4958c","contributors":{"authors":[{"text":"Emmenegger, Evi","contributorId":43234,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Evi","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":356652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":356651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173628,"text":"70173628 - 2012 - Incorporating incorporating economic models into seasonal pool conservation planning","interactions":[],"lastModifiedDate":"2017-06-30T15:23:42","indexId":"70173628","displayToPublicDate":"2012-02-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating incorporating economic models into seasonal pool conservation planning","docAbstract":"<p><span>Massachusetts, New Jersey, Connecticut, and Maine have adopted regulatory zones around seasonal (vernal) pools to conserve terrestrial habitat for pool-breeding amphibians. Most amphibians require access to distinct seasonal habitats in both terrestrial and aquatic ecosystems because of their complex life histories. These habitat requirements make them particularly vulnerable to land uses that destroy habitat or limit connectivity (or permeability) among habitats. Regulatory efforts focusing on breeding pools without consideration of terrestrial habitat needs will not ensure the persistence of pool-breeding amphibians. We used GIS to combine a discrete-choice, parcel-scale economic model of land conversion with a landscape permeability model based on known habitat requirements of wood frogs (</span><i class=\"EmphasisTypeItalic \">Lithobates sylvaticus</i><span>) in Maine (USA) to examine permeability among habitat elements for alternative future scenarios. The economic model predicts future landscapes under different subdivision open space and vernal pool regulatory requirements. Our model showed that even “no build” permit zones extending 76&nbsp;m (250&nbsp;ft) outward from the pool edge were insufficient to assure permeability among required habitat elements. Furthermore, effectiveness of permit zones may be inconsistent due to interactions with other growth management policies, highlighting the need for local and state planning for the long-term persistence of pool-breeding amphibians in developing landscapes.</span></p>","language":"English","publisher":"Society of Wetland Scientists","doi":"10.1007/s13157-012-0284-x","usgsCitation":"Freeman, R.C., Bell, K.P., Calhoun, A.J., and Loftin, C., 2012, Incorporating incorporating economic models into seasonal pool conservation planning: Wetlands, v. 32, no. 3, p. 509-520, https://doi.org/10.1007/s13157-012-0284-x.","productDescription":"12 p.","startPage":"509","endPage":"520","ipdsId":"IP-027161","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Falmouth","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.8013916015625,\n              43.52664646047306\n            ],\n            [\n              -70.8013916015625,\n              44.10730980734024\n            ],\n            [\n              -70.0103759765625,\n              44.10730980734024\n            ],\n            [\n              -70.0103759765625,\n              43.52664646047306\n            ],\n            [\n              -70.8013916015625,\n              43.52664646047306\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-02-25","publicationStatus":"PW","scienceBaseUri":"57594200e4b04f417c2568ab","contributors":{"authors":[{"text":"Freeman, Robert C.","contributorId":171581,"corporation":false,"usgs":false,"family":"Freeman","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Kathleen P.","contributorId":171584,"corporation":false,"usgs":false,"family":"Bell","given":"Kathleen","email":"","middleInitial":"P.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637421,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007507,"text":"sir20125006 - 2012 - Regression model development and computational procedures to support estimation of real-time concentrations and loads of selected constituents in two tributaries to Lake Houston near Houston, Texas, 2005-9","interactions":[],"lastModifiedDate":"2016-08-08T09:23:57","indexId":"sir20125006","displayToPublicDate":"2012-02-24T00:00:00","publicationYear":"2012","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":"2012-5006","title":"Regression model development and computational procedures to support estimation of real-time concentrations and loads of selected constituents in two tributaries to Lake Houston near Houston, Texas, 2005-9","docAbstract":"<p>In December 2005, the U.S. Geological Survey (USGS), in cooperation with the City of Houston, Texas, began collecting discrete water-quality samples for nutrients, total organic carbon, bacteria (<i>Escherichia coli</i> and total coliform), atrazine, and suspended sediment at two USGS streamflow-gaging stations that represent watersheds contributing to Lake Houston (08068500 Spring Creek near Spring, Tex., and 08070200 East Fork San Jacinto River near New Caney, Tex.). Data from the discrete water-quality samples collected during 2005&ndash;9, in conjunction with continuously monitored real-time data that included streamflow and other physical water-quality properties (specific conductance, pH, water temperature, turbidity, and dissolved oxygen), were used to develop regression models for the estimation of concentrations of water-quality constituents of substantial source watersheds to Lake Houston. The potential explanatory variables included discharge (streamflow), specific conductance, pH, water temperature, turbidity, dissolved oxygen, and time (to account for seasonal variations inherent in some water-quality data). The response variables (the selected constituents) at each site were nitrite plus nitrate nitrogen, total phosphorus, total organic carbon,<i> E. coli</i>, atrazine, and suspended sediment. The explanatory variables provide easily measured quantities to serve as potential surrogate variables to estimate concentrations of the selected constituents through statistical regression. Statistical regression also facilitates accompanying estimates of uncertainty in the form of prediction intervals. Each regression model potentially can be used to estimate concentrations of a given constituent in real time. Among other regression diagnostics, the diagnostics used as indicators of general model reliability and reported herein include the adjusted R-squared, the residual standard error, residual plots, and p-values. Adjusted R-squared values for the Spring Creek models ranged from .582&ndash;.922 (dimensionless). The residual standard errors ranged from .073&ndash;.447 (base-10 logarithm). Adjusted R-squared values for the East Fork San Jacinto River models ranged from .253&ndash;.853 (dimensionless). The residual standard errors ranged from .076&ndash;.388 (base-10 logarithm). In conjunction with estimated concentrations, constituent loads can be estimated by multiplying the estimated concentration by the corresponding streamflow and by applying the appropriate conversion factor. The regression models presented in this report are site specific, that is, they are specific to the Spring Creek and East Fork San Jacinto River streamflow-gaging stations; however, the general methods that were developed and documented could be applied to most perennial streams for the purpose of estimating real-time water quality data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125006","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Lee, M.T., Asquith, W.H., and Oden, T., 2012, Regression model development and computational procedures to support estimation of real-time concentrations and loads of selected constituents in two tributaries to Lake Houston near Houston, Texas, 2005-9: U.S. Geological Survey Scientific Investigations Report 2012-5006, v, 40 p., https://doi.org/10.3133/sir20125006.","productDescription":"v, 40 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116331,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5006.gif"},{"id":115889,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5006/","linkFileType":{"id":5,"text":"html"}}],"scale":"602933","projection":"Universal Transverse Mercator","country":"United States","state":"Texas","city":"Houston, New Caney, Spring","otherGeospatial":"East Fork San Jacinto River, Lake Houston, Spring Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,30 ], [ -96,30.75 ], [ -95,30.75 ], [ -95,30 ], [ -96,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a5c7e4b0e8fec6cdbff2","contributors":{"authors":[{"text":"Lee, Michael T. 0000-0002-8260-8794 mtlee@usgs.gov","orcid":"https://orcid.org/0000-0002-8260-8794","contributorId":4228,"corporation":false,"usgs":true,"family":"Lee","given":"Michael","email":"mtlee@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":356542,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}