This report presents information used to characterize the groundwater-flow system in the Chambers-Clover Creek Watershed and vicinity, and includes descriptions of the geology and hydrogeologic framework; groundwater recharge and discharge; groundwater levels and flow directions; seasonal groundwater level fluctuations; interactions between aquifers and the surface-water system; and a water budget. The study area covers about 706 square miles in western Pierce County, Washington, and extends north to the Puyallup River, southwest to the Nisqually River, and is bounded on the south and east by foothills of the Cascade Range and on the west by Puget Sound. The area is underlain by a northwest-thickening sequence of unconsolidated glacial and interglacial deposits which overlie sedimentary and volcanic bedrock units that crop out in the foothills along the southern and southeastern margin of the study area. Geologic units were grouped into 11 hydrogeologic units consisting of aquifers, confining units, and an underlying bedrock unit. A surficial hydrogeologic unit map was developed and used with well information from 450 drillers’ logs to construct 6 hydrogeologic sections, and unit extent and thickness maps.
Groundwater in unconsolidated glacial and interglacial aquifers generally flows to the northwest towards Puget Sound, and to the north and northeast towards the Puyallup River. These generalized flow patterns likely are complicated by the presence of low permeability confining units that separate discontinuous bodies of aquifer material and act as local groundwater-flow barriers. Water levels in wells completed in the unconsolidated hydrogeologic units show seasonal variations ranging from less than 1 to about 50 feet. The largest groundwater-level fluctuation (78 feet) observed during the monitoring period (March 2007–September 2008) was in a well completed in the bedrock unit.
Synoptic streamflow measurements made in September 2007 and July 2008 indicated a total groundwater discharge to streams in the study area of 87,310 and 92,160 acre-feet per year, respectively. The synoptic streamflow measurements show a complex pattern of gains and losses to streamflows that varies throughout the study area, and appears to be influenced in places by local topography. Groundwater discharge occurs at numerous springs in the area and the total previously reported discharge of springs in the area is approximately 80,000 acre-feet per year. There are, in addition, many unmeasured springs and the total spring discharge in the area is unknown.
The water-budget area (432 mi2 located within the larger study area) received an annual average (September1, 2006, to August 31, 2008) of about 1,025,000 acre-ft or about 45 inches of precipitation a year. About 44 percent of precipitation enters the groundwater system as recharge. Almost one-half of this recharge (49 percent) discharges to the Puyallup and Nisqually Rivers and leaves the groundwater system as submarine groundwater discharge to Puget Sound. The remaining groundwater recharge discharges to streams (20 percent) and springs (18 percent) or is withdrawn from wells (13 percent)
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105055","collaboration":"Prepared in cooperation with the Pierce Conservation District and the Washington State Department of Ecology","usgsCitation":"Savoca, M.E., Welch, W.B., Johnson, K.H., Lane, R.C., Clothier, B.G., and Fasser, E.T., 2010, Hydrogeologic framework, groundwater movement, and water budget in the Chambers-Clover Creek watershed and vicinity, Pierce County, Washington: U.S. Geological Survey Scientific Investigations Report 2010-5055, Report: viii, 46 p.; 2 Plates: 40.68 x 30.19 inches and 45 x 36.02 inches; LIDAR Coverage: 21.30 x 26.31 inches, https://doi.org/10.3133/sir20105055.","productDescription":"Report: viii, 46 p.; 2 Plates: 40.68 x 30.19 inches and 45 x 36.02 inches; LIDAR Coverage: 21.30 x 26.31 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-03-01","temporalEnd":"2008-09-30","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":423550,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92074.htm","linkFileType":{"id":5,"text":"html"}},{"id":13541,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5055/","linkFileType":{"id":5,"text":"html"}},{"id":125438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5055.jpg"}],"projection":"Universal Transverse Mercator","country":"United States","state":"Washington","county":"Pierce County","otherGeospatial":"Chambers-Clover Creek watershed and vicinity","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.75,\n 46.75\n ],\n [\n -122.75,\n 47.35\n ],\n [\n -122.08333333333333,\n 47.35\n ],\n [\n -122.08333333333333,\n 46.75\n ],\n [\n -122.75,\n 46.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628e22","contributors":{"authors":[{"text":"Savoca, Mark E. mesavoca@usgs.gov","contributorId":1961,"corporation":false,"usgs":true,"family":"Savoca","given":"Mark","email":"mesavoca@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clothier, Burt G.","contributorId":140517,"corporation":false,"usgs":false,"family":"Clothier","given":"Burt","email":"","middleInitial":"G.","affiliations":[{"id":13522,"text":"Robinson & Noble","active":true,"usgs":false}],"preferred":false,"id":890157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fasser, Elisabeth T. 0000-0002-3945-6633 efasser@usgs.gov","orcid":"https://orcid.org/0000-0002-3945-6633","contributorId":3973,"corporation":false,"usgs":true,"family":"Fasser","given":"Elisabeth","email":"efasser@usgs.gov","middleInitial":"T.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98289,"text":"sir20105009 - 2010 - Water Quality of the Upper Delaware Scenic and Recreational River and Tributary Streams, New York and Pennsylvania","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20105009","displayToPublicDate":"2010-03-27T00:00:00","publicationYear":"2010","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":"2010-5009","title":"Water Quality of the Upper Delaware Scenic and Recreational River and Tributary Streams, New York and Pennsylvania","docAbstract":"Water-quality samples were collected from the Upper Delaware Scenic and Recreational River (UPDE) and its tributaries during the period October 1, 2005, to September 30, 2007, to document existing water quality, determine relations between land use and water quality, and identify areas of water-quality concern. A tiered water-quality monitoring framework was used, with the tiers consisting of intensively sampled sites, gradient sites representing the range of land uses present in the basin, and regional stream-survey sites.\r\n\r\nMedian nitrate and total phosphorous concentrations were 1.15 and 0.01 mg/L (milligrams per liter) for three sites on the mainstem Delaware River, 1.27 and 0.009 mg/L for the East Branch Delaware River, 2.04 and 0.01 mg/L for the West Branch Delaware River, and 0.68 and 0.006 mg/L for eight tributaries that represent the range of land uses resent in the basin, respectively. The percentage of agricultural land varied by basin from 0 to 30 percent and the percentage of suburbanization varied from 0 to 17 percent. There was a positive correlation between the percentage of agricultural land use in a basin and observed concentrations of acid neutralizing capacity, calcium, potassium, nitrate, and total dissolved nitrogen, whereas no correlation between the percentage of suburbanization and water quality was detected.\r\n\r\nResults of stream surveys showed that nitrate concentrations in 55 to 65 percent of the UPDE Basin exceeded the nitrate reference condition and a suggested water-quality guideline for ecological impairment in New York State (0.98 mg/L) during the spring. Many of the affected parts of the basin were more than 90 percent forested and showed signs of episodic acidification, indicating that the long-term effects of acid deposition play a role in the high nitrate levels. Nitrate concentrations in 75 percent of samples collected from agricultural sites exceeded the suggested nitrate water-quality guideline for ecological impairment. Concentrations of nitrate and total phosphorous in samples collected from agricultural sites also were twice and 25 percent higher than those in samples from reference sites, respectively.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105009","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Siemion, J., and Murdoch, P.S., 2010, Water Quality of the Upper Delaware Scenic and Recreational River and Tributary Streams, New York and Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2010-5009, v, 43 p. , https://doi.org/10.3133/sir20105009.","productDescription":"v, 43 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5009.jpg"},{"id":13542,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5009/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.58333333333333,41 ], [ -75.58333333333333,42.583333333333336 ], [ -74.33333333333333,42.583333333333336 ], [ -74.33333333333333,41 ], [ -75.58333333333333,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68809a","contributors":{"authors":[{"text":"Siemion, Jason jsiemion@usgs.gov","contributorId":3011,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":304910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98282,"text":"sir20105030 - 2010 - Sources of groundwater based on Helium analyses in and near the freshwater/saline-water transition zone of the San Antonio segment of the Edwards Aquifer, South-Central Texas, 2002-03","interactions":[],"lastModifiedDate":"2016-08-11T16:40:47","indexId":"sir20105030","displayToPublicDate":"2010-03-24T00:00:00","publicationYear":"2010","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":"2010-5030","title":"Sources of groundwater based on Helium analyses in and near the freshwater/saline-water transition zone of the San Antonio segment of the Edwards Aquifer, South-Central Texas, 2002-03","docAbstract":"This report evaluates dissolved noble gas data, specifically helium-3 and helium-4, collected by the U.S. Geological Survey, in cooperation with the San Antonio Water System, during 2002-03. Helium analyses are used to provide insight into the sources of groundwater in the freshwater/saline-water transition zone of the San Antonio segment of the Edwards aquifer. Sixty-nine dissolved gas samples were collected from 19 monitoring wells (categorized as fresh, transitional, or saline on the basis of dissolved solids concentration in samples from the wells or from fluid-profile logging of the boreholes) arranged in five transects, with one exception, across the freshwater/saline-water interface (the 1,000-milligrams-per-liter dissolved solids concentration threshold) of the Edwards aquifer. The concentration of helium-4 (the dominant isotope in atmospheric and terrigenic helium) in samples ranged from 63 microcubic centimeters per kilogram at standard temperature (20 degrees Celsius) and pressure (1 atmosphere) in a well in the East Uvalde transect to 160,587 microcubic centimeters per kilogram at standard temperature and pressure in a well in the Kyle transect. Helium-4 concentrations in the 10 saline wells generally increase from the western transects to the eastern transects. Increasing helium-4 concentrations from southwest to northeast in the transition zone, indicating increasing residence time of groundwater from southwest to northeast, is consistent with the longstanding conceptualization of the Edwards aquifer in which water recharges in the southwest, flows generally northeasterly (including in the transition zone, although more slowly than in the fresh-water zone), and discharges at major springs in the northeast. Excess helium-4 was greater than 1,000 percent for 60 of the 69 samples, indicating that terrigenic helium is largely present and that most of the excess helium-4 comes from sources other than the atmosphere. The helium data of this report cannot be used to identify sources of groundwater in and near the transition zone of the Edwards aquifer in terms of specific geologic (stratigraphic) units or hydrogeologic units (aquifers or confining units). However, the data indicate that the source or sources of the helium, and thus the water in which the helium is dissolved, in the transition zone are mostly terrigenic in origin rather than atmospheric. Whether most helium in and near the transition zone of the Edwards aquifer originated either in rocks outside the transition zone and at depth or in the adjacent Trinity aquifer is uncertain; but most of the helium in the transition zone had to enter the transition zone from the Trinity aquifer because the Trinity aquifer is the hydrogeologic unit immediately beneath and laterally adjacent to the transition zone of the Edwards aquifer. Thus the helium data support a hypothesis of sufficient hydraulic connection between the Trinity and Edwards aquifers to allow movement of water from the Trinity aquifer to the transition zone of the Edwards aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105030","collaboration":"In cooperation with the San Antonio Water System","usgsCitation":"Hunt, A.G., Lambert, R.B., and Fahlquist, L., 2010, Sources of groundwater based on Helium analyses in and near the freshwater/saline-water transition zone of the San Antonio segment of the Edwards Aquifer, South-Central Texas, 2002-03: U.S. Geological Survey Scientific Investigations Report 2010-5030, iv, 15 p., https://doi.org/10.3133/sir20105030.","productDescription":"iv, 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5030.jpg"},{"id":13535,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5030/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator ","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.75,28.5 ], [ -100.75,29.5 ], [ -97.33333333333333,29.5 ], [ -97.33333333333333,28.5 ], [ -100.75,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e768b","contributors":{"authors":[{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fahlquist, Lynne","contributorId":8810,"corporation":false,"usgs":true,"family":"Fahlquist","given":"Lynne","affiliations":[],"preferred":false,"id":304886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146198,"text":"70146198 - 2010 - Global change and water resources in the next 100 years","interactions":[],"lastModifiedDate":"2017-04-26T11:42:40","indexId":"70146198","displayToPublicDate":"2010-03-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Global change and water resources in the next 100 years","docAbstract":"We are in the midst of a continental-scale, multi-year experiment in the United States, in which we have not defined our testable hypotheses or set the duration and scope of the experiment, which poses major water-resources challenges for the 21st century. What are we doing? We are expanding population at three times the national growth rate in our most water-scarce region, the southwestern United States, where water stress is already great and modeling predicts decreased streamflow by the middle of this century. We are expanding irrigated agriculture from the west into the east, particularly to the southeastern states, where increased competition for ground and surface water has urban, agricultural, and environmental interests at odds, and increasingly, in court. We are expanding our consumption of pharmaceutical and personal care products to historic high levels and disposing them in surface and groundwater, through sewage treatment plants and individual septic systems. These substances are now detectable at very low concentrations and we have documented significant effects on aquatic species, particularly on fish reproduction function. We don’t yet know what effects on human health may emerge, nor do we know if we need to make large investments in water treatment systems, which were not designed to remove these substances. These are a few examples of our national-scale experiment. In addition to these water resources challenges, over which we have some control, climate change models indicate that precipitation and streamflow patterns will change in coming decades, with western mid-latitude North America generally drier. We have already documented trends in more rain and less snow in western mountains. This has large implications for water supply and storage, and groundwater recharge. We have documented earlier snowmelt peak spring runoff in northeastern and northwestern States, and western montane regions. Peak runoff is now about two weeks earlier than it was in the first half of the 20th century. Decreased summer runoff affects water supply for agriculture, domestic water supply, cooling needs for thermoelectric power generation, and ecosystem needs. In addition to the reduced volume of streamflow during warm summer months, less water results in elevated stream temperature, which also has significant effects on cooling of power generating facilities and on aquatic ecosystem needs. We are now required to include fish and other aquatic species in negotiation over how much water to leave in the river, rather than, as in the past, how much water we could remove from a river. Additionally, we must pay attention to the quality of that water, including its temperature. This is driven in the US by the Endangered Species Act and the Clean Water Act. Furthermore, we must now better understand and manage the whole hydrograph and the influence of hydrologic variability on aquatic ecosystems. Man has trimmed the tails off the probability distribution of flows. We need to understand how to put the tails back on but can’t do that without improved understanding of aquatic ecosystems. Sea level rise presents challenges for fresh water extraction from coastal aquifers as they are compromised by increased saline intrusion. A related problem faces users of ‘run-of-the-river’ water-supply intakes that are threatened by a salt front that migrates further upstream because of higher sea level. We face significant challenges with water infrastructure. The U.S. has among the highest quality drinking water in the world piped to our homes. However, our water and sewage treatment plants and water and sewer pipelines have not had adequate maintenance or investment for decades. The US Environmental Protection Agency estimates that there are up to 3.5M illnesses per year from recreational contact with sewage from sanitary sewage overflows. Infrastructure investment needs have been put at 5 trillion nationally. Global change and water resources c
","conferenceTitle":"6th Alexander von Humboldt International Conference on Climate Change, Natural Hazards, and Societies","conferenceDate":"March 15-19, 2010","conferenceLocation":"Merida, Mexico","language":"English","usgsCitation":"Larsen, M.C., and Hirsch, R., 2010, Global change and water resources in the next 100 years, 6th Alexander von Humboldt International Conference on Climate Change, Natural Hazards, and Societies, Merida, Mexico, March 15-19, 2010, 7 p.","productDescription":"7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022438","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1c0e4b0c2e071a99bbe","contributors":{"authors":[{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":544772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":580502,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98277,"text":"sir20105033 - 2010 - Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia","interactions":[],"lastModifiedDate":"2012-03-08T17:16:12","indexId":"sir20105033","displayToPublicDate":"2010-03-18T00:00:00","publicationYear":"2010","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":"2010-5033","title":"Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia","docAbstract":"Flood-frequency discharges were determined for 290 streamgage stations having a minimum of 9 years of record in West Virginia and surrounding states through the 2006 or 2007 water year. No trend was determined in the annual peaks used to calculate the flood-frequency discharges.\r\n\r\nMultiple and simple least-squares regression equations for the 100-year (1-percent annual-occurrence probability) flood discharge with independent variables that describe the basin characteristics were developed for 290 streamgage stations in West Virginia and adjacent states. The regression residuals for the models were evaluated and used to define three regions of the State, designated as Eastern Panhandle, Central Mountains, and Western Plateaus. Exploratory data analysis procedures identified 44 streamgage stations that were excluded from the development of regression equations representative of rural, unregulated streams in West Virginia. Regional equations for the 1.1-, 1.5-, 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year flood discharges were determined by generalized least-squares regression using data from the remaining 246 streamgage stations. Drainage area was the only significant independent variable determined for all equations in all regions.\r\n\r\nProcedures developed to estimate flood-frequency discharges on ungaged streams were based on (1) regional equations and (2) drainage-area ratios between gaged and ungaged locations on the same stream. The procedures are applicable only to rural, unregulated streams within the boundaries of West Virginia that have drainage areas within the limits of the stations used to develop the regional equations (from 0.21 to 1,461 square miles in the Eastern Panhandle, from 0.10 to 1,619 square miles in the Central Mountains, and from 0.13 to 1,516 square miles in the Western Plateaus). The accuracy of the equations is quantified by measuring the average prediction error (from 21.7 to 56.3 percent) and equivalent years of record (from 2.0 to 70.9 years).\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105033","collaboration":"Prepared in cooperation with the West Virginia Department of Transportation, Division of Highways","usgsCitation":"Wiley, J.B., and Atkins, J.T., 2010, Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia: U.S. Geological Survey Scientific Investigations Report 2010-5033, vi, 75 p.; Appendices, https://doi.org/10.3133/sir20105033.","productDescription":"vi, 75 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":126627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5033.jpg"},{"id":13530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5033/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.25,37 ], [ -83.25,41 ], [ -77.5,41 ], [ -77.5,37 ], [ -83.25,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd80","contributors":{"authors":[{"text":"Wiley, Jeffrey B.","contributorId":59746,"corporation":false,"usgs":true,"family":"Wiley","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":304873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkins, John T. jtatkins@usgs.gov","contributorId":2804,"corporation":false,"usgs":true,"family":"Atkins","given":"John","email":"jtatkins@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":304872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156727,"text":"70156727 - 2010 - Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary","interactions":[],"lastModifiedDate":"2022-11-08T17:47:31.723551","indexId":"70156727","displayToPublicDate":"2010-03-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary","docAbstract":"The ability of water-resource managers to adapt to future climatic change is especially challenging in coastal regions of the world. The East Coast of the United States falls into this category given the high number of people living along the Atlantic seaboard and the added strain on resources as populations continue to increase, particularly in the Southeast. Increased temperatures, changes in regional precipitation regimes, and potential increased sea level may have a great impact on existing hydrological systems in the region. The Savannah River originates at the confluence of the Seneca and Tugaloo Rivers, near Hartwell, Ga., and forms the state boundary between South Carolina and Georgia. The J. Strom Thurmond Dam and Lake, located 238 miles upstream from the Atlantic Ocean, is responsible for most of the flow regulation that affects the Savannah River from Augusta, Ga., to the coast. The Savannah Harbor experiences semi-diurnal tides of two low and two high tides in a 24.8-hour period with pronounced differences in tidal range between neap and spring tides occurring on a 14-day and 28-day lunar cycle. Salinity intrusion results from the interaction of three principal forces - streamflow, mean tidal water levels, and tidal range. To analyze, model, and simulate hydrodynamic behaviors at critical coastal streamgages in the Lower Savannah River Estuary, data-mining techniques were applied to over 15 years of hourly streamflow, coastal water-quality, and water-level data. Artificial neural network (ANN) models were trained to learn the variable interactions that cause salinity intrusions. Streamflow data from the 9,850 square-mile Savannah River Basin were input into the model as time-delayed variables. Tidal inputs to the models were obtained by decomposing tidal water-level data into a “periodic” signal of tidal range and a “chaotic” signal of mean water levels. The ANN models were able to convincingly reproduce historical behaviors and generate alternative scenarios of interest. Important freshwater resources are located proximal to the freshwater-saltwater interface of the estuary. The Savannah National Wildlife Refuge is located in the upper portion of the Savannah River Estuary. The tidal freshwater marsh is an essential part of the 28,000-acre refuge and is home to a diverse variety of wildlife and plant communities. Two municipal freshwater intakes are located upstream from the refuge. To evaluate the impact of climate change on salinity intrusion on these resources, inputs of streamflows and mean tidal water levels were modified to incorporate estimated changes in precipitation patterns and sea-level rise appropriate for the Southeastern United States. Changes in mean tidal water levels were changed parametrically for various sea-level rise conditions. Preliminary model results at the U.S. Geological Survey (USGS) Interstate-95 streamgage (station 02198840) for a 7½-year simulation show that historical daily salinity concentrations never exceeded 0.5 practical salinity units (psu). A 1-foot sea-level rise (ft, 30.5 centimeters [cm]) would increase the number of days of salinity concentrations greater than 0.5 psu to 47 days. A 2-ft (61 cm) sea-level rise would increase the number of days to 248.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 South Carolina Environmental Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 South Carolina Environmental Conference","conferenceDate":"March 13-17 2010","conferenceLocation":"Myrtle Beach, South Carolina","language":"English","publisher":"South Carolina Environmental Conference","usgsCitation":"Conrads, P., Roehl, E.A., Daamen, R.C., Cook, J., Sexton, C.T., Tufford, D.L., Carbone, G.J., and Dow, K., 2010, Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary, in 2010 South Carolina Environmental Conference Proceedings, Myrtle Beach, South Carolina, March 13-17 2010, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307595,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cisa.sc.edu/library_CPP.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Lower Savannah River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.12866396878053,\n 31.73606362170419\n ],\n [\n -81.08922042433618,\n 31.729354188100046\n ],\n [\n -80.81705996766948,\n 31.98731612795615\n ],\n [\n -80.80128254989155,\n 32.057543979020494\n ],\n [\n -80.6750632076695,\n 32.17780922241056\n ],\n [\n -81.13260832322477,\n 32.38122972273655\n ],\n [\n -81.20755105766925,\n 32.29124741896493\n ],\n [\n -81.27460508322473,\n 31.906989849666886\n ],\n [\n -81.12866396878053,\n 31.73606362170419\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b7e4b0f42e3d040e03","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":570279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A.","contributorId":89242,"corporation":false,"usgs":true,"family":"Roehl","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":570281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, John B.","contributorId":45594,"corporation":false,"usgs":true,"family":"Cook","given":"John B.","affiliations":[],"preferred":false,"id":570282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexton, Charles T.","contributorId":147101,"corporation":false,"usgs":false,"family":"Sexton","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tufford, Daniel L. tufford@sc.edu","contributorId":147102,"corporation":false,"usgs":false,"family":"Tufford","given":"Daniel","email":"tufford@sc.edu","middleInitial":"L.","affiliations":[],"preferred":false,"id":570284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carbone, Gregory J. greg.carbone@sc.edu","contributorId":147103,"corporation":false,"usgs":false,"family":"Carbone","given":"Gregory","email":"greg.carbone@sc.edu","middleInitial":"J.","affiliations":[],"preferred":false,"id":570285,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dow, Kristin","contributorId":147104,"corporation":false,"usgs":false,"family":"Dow","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":570286,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70198308,"text":"70198308 - 2010 - Source materials for inception stage Hawaiian magmas: Pb‐He isotope variations for early Kilauea","interactions":[],"lastModifiedDate":"2018-07-31T09:33:51","indexId":"70198308","displayToPublicDate":"2010-03-11T08:19:48","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Source materials for inception stage Hawaiian magmas: Pb‐He isotope variations for early Kilauea","docAbstract":"New noble gas and radiogenic isotopic compositions are presented for tholeiitic, transitional, and alkalic rocks from the submarine Hilina region on the south flank of Kilauea, Hawaii. The 3He/4He ratios for undegassed glass and olivine separates (11–26 Ra) contrast with those of postshield and rejuvenated alkalic lavas, consistent with the alkalic and transitional basalts at Hilina corresponding to early Kilauea magmas. Most early Kilauea samples contain highly radiogenic Pb isotopes compared with other Hawaiian rocks and therefore derive from a Hawaiian plume end‐member source (here referred to as the Hilina component) distinctive in that respect. Besides radiogenic Pb isotopes, the Hilina component has relatively low 3He/4He (<12 Ra) among the Hawaiian magmas. Hawaiian inception stage magmas, including Hilina, Loihi, and deep Hana Ridge (east Maui), define a linear array in 206Pb/204Pb‐3He/4He isotope space, indicating that mixing between the Hilina and Loihi components (or their melts) dominates magmatism at the leading edge of the Hawaiian plume. The Hilina component's isotopic characteristics can be derived from young subduction‐recycled crust or metasomatised mantle. The isotopic differences between the geographically discriminated Kea and Loa trend volcanic chains, observed in shield stage lavas, are also seen in the inception stage magmas, suggesting that proportions of melts derived from the Hilina and Loihi components were different between the Kea and Loa trend volcanoes.
","language":"English","publisher":"AGU","doi":"10.1029/2009GC002760","usgsCitation":"Hanyu, T., Kimura, J., Katakuse, M., Calvert, A.T., Sisson, T.W., and Nakai, S., 2010, Source materials for inception stage Hawaiian magmas: Pb‐He isotope variations for early Kilauea: Geochemistry, Geophysics, Geosystems, v. 11, no. 3, Q0AC01; 25 p., https://doi.org/10.1029/2009GC002760.","productDescription":"Q0AC01; 25 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009gc002760","text":"Publisher Index Page"},{"id":356039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.29483795166016,\n 19.392448679313798\n ],\n [\n -155.29483795166016,\n 19.43842814442463\n ],\n [\n -155.2371597290039,\n 19.43842814442463\n ],\n [\n -155.2371597290039,\n 19.392448679313798\n ],\n [\n -155.29483795166016,\n 19.392448679313798\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-03-11","publicationStatus":"PW","scienceBaseUri":"5b98b7afe4b0702d0e844f05","contributors":{"authors":[{"text":"Hanyu, Takeshi","contributorId":206542,"corporation":false,"usgs":false,"family":"Hanyu","given":"Takeshi","email":"","affiliations":[],"preferred":false,"id":740978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimura, Jun-Ichi","contributorId":77719,"corporation":false,"usgs":true,"family":"Kimura","given":"Jun-Ichi","email":"","affiliations":[],"preferred":false,"id":740979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katakuse, Maiko","contributorId":206543,"corporation":false,"usgs":false,"family":"Katakuse","given":"Maiko","email":"","affiliations":[],"preferred":false,"id":740980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nakai, Shun’ichi","contributorId":206544,"corporation":false,"usgs":false,"family":"Nakai","given":"Shun’ichi","email":"","affiliations":[],"preferred":false,"id":740983,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98226,"text":"ofr20101041 - 2010 - Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101041","displayToPublicDate":"2010-03-03T00:00:00","publicationYear":"2010","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":"2010-1041","title":"Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington","docAbstract":"This map and its accompanying dataset provide information for 51 natural occurrences of asbestos in Washington and Oregon, using descriptions found in the geologic literature. Data on location, mineralogy, geology, and relevant literature for each asbestos site are provided. Using the map and digital data in this report, the user can examine the distribution of previously reported asbestos occurrences and their geological characteristics in the Pacific Northwest States of Washington and Oregon. This report is part of an ongoing study by the U.S. Geological Survey to identify and map reported natural asbestos occurrences in the United States, which thus far includes similar maps and datasets of natural asbestos occurrences within the Eastern United States (http://pubs.usgs.gov/of/2005/1189/), the Central United States (http://pubs.usgs.gov/of/2006/1211/), the Rocky Mountain States (http://pubs.usgs.gov/of/2007/1182/), and the Southwestern United States (http://pubs.usgs.gov/of/2008/1095/). These reports are intended to provide State and local government agencies and other stakeholders with geologic information on natural occurrences of asbestos in the United States.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101041","usgsCitation":"Van Gosen, B.S., 2010, Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington: U.S. Geological Survey Open-File Report 2010-1041, Plate (PDF); References (PDF, XLS); Asbestos Sites (PDF, XLS); Fibrous Amphiboles (PDF, XLS), https://doi.org/10.3133/ofr20101041.","productDescription":"Plate (PDF); References (PDF, XLS); Asbestos Sites (PDF, XLS); Fibrous Amphiboles (PDF, XLS)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125433,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1041.jpg"},{"id":13486,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1041/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,40 ], [ -125,50 ], [ -115,50 ], [ -115,40 ], [ -125,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f59b","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":304718,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044275,"text":"70044275 - 2010 - Representing pump-capacity relations in groundwater simulation models","interactions":[],"lastModifiedDate":"2018-10-10T11:19:35","indexId":"70044275","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Representing pump-capacity relations in groundwater simulation models","docAbstract":"The yield (or discharge) of constant-speed pumps varies with the total dynamic head (or lift) against which the pump is discharging. The variation in yield over the operating range of the pump may be substantial. In groundwater simulations that are used for management evaluations or other purposes, where predictive accuracy depends on the reliability of future discharge estimates, model reliability may be enhanced by including the effects of head-capacity (or pump-capacity) relations on the discharge from the well. A relatively simple algorithm has been incorporated into the widely used MODFLOW groundwater flow model that allows a model user to specify head-capacity curves. The algorithm causes the model to automatically adjust the pumping rate each time step to account for the effect of drawdown in the cell and changing lift, and will shut the pump off if lift exceeds a critical value. The algorithm is available as part of a new multinode well package (MNW2) for MODFLOW.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2009.00619.x","usgsCitation":"Konikow, L.F., 2010, Representing pump-capacity relations in groundwater simulation models: Ground Water, v. 48, no. 1, p. 106-110, https://doi.org/10.1111/j.1745-6584.2009.00619.x.","productDescription":"5 p.","startPage":"106","endPage":"110","ipdsId":"IP-013889","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270859,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2009.00619.x"}],"country":"United States","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-23","publicationStatus":"PW","scienceBaseUri":"53cd707ae4b0b2908510711a","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173408,"text":"70173408 - 2010 - Ecoregion and land-use influence invertebrate and detritus transport from headwater streams","interactions":[],"lastModifiedDate":"2016-06-20T18:34:38","indexId":"70173408","displayToPublicDate":"2010-02-23T13:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregion and land-use influence invertebrate and detritus transport from headwater streams","docAbstract":"Summary 1. Habitats are often connected by fluxes of energy and nutrients across their boundaries. For example, headwater streams are linked to surrounding riparian vegetation through invertebrate and leaf litter inputs, and there is evidence that consumers in downstream habitats are subsidised by resources flowing from headwater systems. However, the strength of these linkages and the manner in which potential headwater subsidies vary along climatic and disturbance gradients are unknown.
\n2. We quantified the downstream transport of invertebrates, organic matter and inorganic sediment from 60 fishless headwater streams in the Wenatchee River Basin located on the eastern slope of the Cascade Range in Washington, U.S.A. Streams were classified into four groups (each n = 15) based on their position within two ecological subregions (wet and dry) and the extent of past timber harvest and road development (logged and unlogged).
\n3. Time and ecoregion were significant for all response variables as transport varied across sampling periods, and dry ecoregion streams displayed significantly higher mean values. Logged sites also generally showed higher mean transport, but only inorganic sediment transport was significantly higher in logged sites. Both ecoregion and land-use interacted significantly with time depending on the response variable. Differences among stream categories were driven by relatively low levels of transport in unlogged drainages of the wet ecoregion. Interestingly, unlogged dry ecoregion streams showed comparable transport rates to logged sites in the wet ecoregion. Dominance by deciduous riparian vegetation in all but unlogged streams in the wet ecoregion is a primary hypothesised mechanism determining transport dynamics in our study streams.
\n4. Understanding the quantity and variation of headwater subsidies across climate and disturbance gradients is needed to appreciate the significance of ecological linkages between headwaters and associated downstream habitats. This will enable the accurate assessment of resource management impacts on stream ecosystems. Predicting the consequences of natural and anthropogenic disturbances on headwater stream transport rates will require knowledge of how both local and regional factors influence these potential subsidies. Our results suggest that resources transported from headwater streams reflect both the meso-scale land-use surrounding these areas and the constraints imposed by the ecoregion in which they are embedded.
","language":"English","publisher":"Blackwell Science","doi":"10.1111/j.1365-2427.2009.02344.x","usgsCitation":"Binckley, C.A., Wipfli, M.S., Medhurst, R.B., Polivka, K., Hessburg, P.F., Salter, R.B., and Kill, J.Y., 2010, Ecoregion and land-use influence invertebrate and detritus transport from headwater streams: Freshwater Biology, v. 55, no. 6, p. 1205-1218, https://doi.org/10.1111/j.1365-2427.2009.02344.x.","productDescription":"14 p.","startPage":"1205","endPage":"1218","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014628","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Mountains, Wenatchee National Forest, Wenatchee River subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.48681640624999,\n 46.76244305208004\n ],\n [\n -121.48681640624999,\n 48.669198799260045\n ],\n [\n -118.564453125,\n 48.669198799260045\n ],\n [\n -118.564453125,\n 46.76244305208004\n ],\n [\n -121.48681640624999,\n 46.76244305208004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-10","publicationStatus":"PW","scienceBaseUri":"576913b6e4b07657d19ff022","contributors":{"authors":[{"text":"Binckley, Christopher A.","contributorId":172212,"corporation":false,"usgs":false,"family":"Binckley","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medhurst, R. Bruce","contributorId":58480,"corporation":false,"usgs":false,"family":"Medhurst","given":"R.","email":"","middleInitial":"Bruce","affiliations":[],"preferred":false,"id":639957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polivka, Karl","contributorId":80093,"corporation":false,"usgs":false,"family":"Polivka","given":"Karl","email":"","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hessburg, Paul F.","contributorId":46481,"corporation":false,"usgs":false,"family":"Hessburg","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salter, R. Brion","contributorId":97718,"corporation":false,"usgs":false,"family":"Salter","given":"R.","email":"","middleInitial":"Brion","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kill, Joshua Y.","contributorId":172213,"corporation":false,"usgs":false,"family":"Kill","given":"Joshua","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":639961,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98193,"text":"sir20095199 - 2010 - Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"sir20095199","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","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":"2009-5199","title":"Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","docAbstract":"Data collected for the U.S. Geological Survey National Water-Quality Assessment program from 1992-2001 were used to investigate the relations between nutrient concentrations and nutrient sources, hydrology, and basin characteristics. Regression models were developed to estimate annual flow-weighted concentrations of total nitrogen and total phosphorus using explanatory variables derived from currently available national ancillary data. Different total-nitrogen regression models were used for agricultural (25 percent or more of basin area classified as agricultural land use) and nonagricultural basins. Atmospheric, fertilizer, and manure inputs of nitrogen, percent sand in soil, subsurface drainage, overland flow, mean annual precipitation, and percent undeveloped area were significant variables in the agricultural basin total nitrogen model. Significant explanatory variables in the nonagricultural total nitrogen model were total nonpoint-source nitrogen input (sum of nitrogen from manure, fertilizer, and atmospheric deposition), population density, mean annual runoff, and percent base flow.\r\n\r\nThe concentrations of nutrients derived from regression (CONDOR) models were applied to drainage basins associated with the U.S. Environmental Protection Agency (USEPA) River Reach File (RF1) to predict flow-weighted mean annual total nitrogen concentrations for the conterminous United States. The majority of stream miles in the Nation have predicted concentrations less than 5 milligrams per liter. Concentrations greater than 5 milligrams per liter were predicted for a broad area extending from Ohio to eastern Nebraska, areas spatially associated with greater application of fertilizer and manure. Probabilities that mean annual total-nitrogen concentrations exceed the USEPA regional nutrient criteria were determined by incorporating model prediction uncertainty. In all nutrient regions where criteria have been established, there is at least a 50 percent probability of exceeding the criteria in more than half of the stream miles.\r\n\r\nDividing calibration sites into agricultural and nonagricultural groups did not improve the explanatory capability for total phosphorus models. The group of explanatory variables that yielded the lowest model error for mean annual total phosphorus concentrations includes phosphorus input from manure, population density, amounts of range land and forest land, percent sand in soil, and percent base flow. However, the large unexplained variability and associated model error precluded the use of the total phosphorus model for nationwide extrapolations.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095199","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Spahr, N.E., Mueller, D.K., Wolock, D.M., Hitt, K.J., and Gronberg, J.M., 2010, Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001: U.S. Geological Survey Scientific Investigations Report 2009-5199, viii, 22 p. , https://doi.org/10.3133/sir20095199.","productDescription":"viii, 22 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1992-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5199.jpg"},{"id":13437,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5199/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4880e4b07f02db515e39","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":304631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":304629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98163,"text":"sim3108 - 2010 - Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sim3108","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3108","title":"Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona","docAbstract":"This geologic map is a cooperative effort of the U.S. Geological Survey (USGS), the Bureau of Land Management, the National Park Service, and the U.S. Forest Service to provide a geologic database for resource management officials and visitor information services. This map was produced in response to information needs related to a proposed withdrawal of three segregated land areas near Grand Canyon National Park, Arizona, from new hard rock mining activity. House Rock Valley was designated as the east parcel of the segregated lands near the Grand Canyon. This map was needed to provide connectivity for the geologic framework of the Grand Canyon segregated land areas. \r\n\r\nThis geologic map of the House Rock Valley area encompasses approximately 280 mi2 (85.4 km2) within Coconino County, northern Arizona, and is bounded by longitude 111 degrees 37'30' to 112 degrees 05' W. and latitude 36 degrees 30' to 36 degrees 50' N. The map area is in the eastern part of the Arizona Strip, which lies within the southern Colorado Plateaus geologic province (herein Colorado Plateau). The Arizona Strip is the part of Arizona lying north of the Colorado River. The map is bound on the east by the Colorado River in Marble Canyon within Grand Canyon National Park and Glen Canyon National Recreation Area, on the south and west by the Kaibab National Forest and Grand Canyon National Game Preserve, and on the north by the Vermilion Cliffs Natural Area, the Paria Canyon Vermilion Cliffs Wilderness Area, and the Vermilion Cliffs National Monument. House Rock State Buffalo Ranch also bounds the southern edge of the map area. \r\n\r\nThe Bureau of Land Management Arizona Field Office in St. George, Utah, manages public lands of the Vermilion Cliffs Natural Area, Paria Canyon - Vermilion Cliffs Wilderness and Vermilion Cliffs National Monument. The North Kaibab Ranger District in Fredonia, Arizona, manages U.S. Forest Service land along the west edge of the map area and House Rock State Buffalo Ranch. Other lands include about 13 sections of Arizona State land, about ? of a section of private land along House Rock Wash, and about 1? sections of private land at Cliff Dwellers Lodge, Vermilion Cliffs Lodge, and Marble Canyon, Arizona. \r\n\r\nLandmark features within the map area include the Vermilion Cliffs, Paria Plateau, Marble Canyon, and House Rock Valley. Surface drainage in House Rock Valley is to the east toward the Colorado River in Marble Canyon. Large tributaries of Marble Canyon from north to south include Badger Canyon, Soap Creek, Rider Canyon, North Canyon, Bedrock Canyon, and South Canyon. Elevations range from about 2,875 ft (876 m) at the Colorado River in the southeast corner of the map to approximately 7,355 ft (2,224 m) on the east rim of Paria Plateau along the north-central edge of the map area. \r\n\r\nThree small settlements are in the map area along U.S. Highway 89A, Cliff Dwellers Lodge, Vermilion Cliffs Lodge, and Marble Canyon, Arizona. The community of Jacob Lake is about 9 mi (14.5 km) west of House Rock Valley on the Kaibab Plateau. Lees Ferry is 5 mi (8 km) north of Marble Canyon and marks the confluence of the Paria and Colorado Rivers and the beginning of Marble Canyon. U.S. Highway 89A provides access to the northern part of the map area. Dirt roads lead south into House Rock Valley from U.S. Highway 89A and are collectively maintained by the Bureau of Land Management, the U.S. National Forest Service, and the Grand Canyon Trust. \r\n\r\nHouse Rock Valley is one of the few remaining areas where uniform geologic mapping is needed for connectivity to the regional Grand Canyon geologic framework. This information is useful to Federal and State resource managers who direct environmental and land management programs that encompass such issues as range management, biological studies, flood control, water, and mineral-resource investigations. The geologic information will support future and ongoing geologic investigations and scientific studies ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3108","collaboration":"Prepared in cooperation with the Bureau of Land Management, the National Park Service, and the U.S. Forest Service","usgsCitation":"Billingsley, G.H., and Priest, S.S., 2010, Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona: U.S. Geological Survey Scientific Investigations Map 3108, 1 map; 1 pamphlet (23 p.); 4 data files, https://doi.org/10.3133/sim3108.","productDescription":"1 map; 1 pamphlet (23 p.); 4 data files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":670,"text":"Western Region Geology and Geophysics Field Science Center-Flagstaff","active":false,"usgs":true}],"links":[{"id":194306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3108/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Universal Transverse Mercator projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.08333333333333,36.5 ], [ -112.08333333333333,36.833333333333336 ], [ -111.61749999999999,36.833333333333336 ], [ -111.61749999999999,36.5 ], [ -112.08333333333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a84bb","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":304506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":304507,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98167,"text":"ofr20091260 - 2010 - Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina","interactions":[],"lastModifiedDate":"2019-08-28T09:34:46","indexId":"ofr20091260","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","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":"2009-1260","displayTitle":"Bank Erosion, Mass Wasting, Water Clarity, Bathymetry and a Sediment Budget Along the Dam-Regulated Lower Roanoke River, North Carolina","title":"Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina","docAbstract":"Dam construction and its impact on downstream fluvial processes may substantially alter ambient bank stability, floodplain inundation patterns, and channel morphology. Most of the world's largest rivers have been dammed, which has prompted management efforts to mitigate dam effects. Three high dams (completed between 1953 and 1963) occur along the Piedmont portion of the Roanoke River, North Carolina; just downstream, the lower part of the river flows across largely unconsolidated Coastal Plain deposits. To document bank erosion rates along the lower Roanoke River, more than 700 bank erosion pins were installed along 124 bank transects. Additionally, discrete measurements of channel bathymetry, water clarity, and presence or absence of mass wasting were documented along the entire 153-kilometer-long study reach. Amounts of bank erosion in combination with prior estimates of floodplain deposition were used to develop a bank erosion and floodplain deposition sediment budget for the lower river. Present bank erosion rates are relatively high [mean 42 milimeters per year (mm/yr)] and are greatest along the middle reaches (mean 60 mm/yr) and on lower parts of the bank on all reaches. Erosion rates were likely higher along upstream reaches than present erosion rates such that erosion rate maxima have migrated downstream. Mass wasting and water clarity also peak along the middle reaches.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091260","usgsCitation":"Schenk, E.R., Hupp, C.R., Richter, J.M., and Kroes, D.E., 2010, Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina: U.S. Geological Survey Open-File Report 2009-1260, 112 p., https://doi.org/10.3133/ofr20091260.","productDescription":"112 p.","numberOfPages":"112","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":194305,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1260/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.646639,36.009613 ], [ -77.646639,36.328348 ], [ -76.992222,36.328348 ], [ -76.992222,36.009613 ], [ -77.646639,36.009613 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ab44","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":304519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":304520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Jean M.","contributorId":53053,"corporation":false,"usgs":true,"family":"Richter","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroes, Daniel E.","contributorId":32260,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98160,"text":"ofr20091203 - 2010 - Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States ","interactions":[],"lastModifiedDate":"2018-11-01T12:07:48","indexId":"ofr20091203","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","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":"2009-1203","title":"Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States ","docAbstract":"Concentrations of organic biomarkers and concentrations of phosphorus in soil cores can potentially be used as proxies for historic population densities of wading birds on tree islands in the Florida Everglades. This report focuses on establishing a link between the organic biomarker uric acid found in wading bird guano and the high phosphorus concentrations in tree island soils in the Florida Everglades. Uric acid was determined in soil core sections, in surface samples, and in bird guano by using a method of high-performance liquid chromatography-mass spectrometry (HPLC-MS) developed for this purpose. Preliminary results show an overall correlation between uric acid and total phosphorus in three soil cores, with a general trend of decreasing concentrations of both uric acid and phosphorus with depth. However, we have also found no uric acid in a soil core having high concentrations of phosphorus. We believe that this result may be explained by different geochemical circumstances at that site. \r\n","language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/ofr20091203","usgsCitation":"Bates, A.L., Orem, W.H., Newman, S., Gawlik, D.E., Lerch, H.E., Corum, M., and Van Winkle, M., 2010, Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States : U.S. Geological Survey Open-File Report 2009-1203, v, 26 p., https://doi.org/10.3133/ofr20091203.","productDescription":"v, 26 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1203.jpg"},{"id":13403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1203/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglade Tree Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,25 ], [ -81,27 ], [ -80,27 ], [ -80,25 ], [ -81,25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e42e","contributors":{"authors":[{"text":"Bates, Anne L. 0000-0002-4875-4675 abates@usgs.gov","orcid":"https://orcid.org/0000-0002-4875-4675","contributorId":2789,"corporation":false,"usgs":true,"family":"Bates","given":"Anne","email":"abates@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, Susan","contributorId":15308,"corporation":false,"usgs":true,"family":"Newman","given":"Susan","email":"","affiliations":[],"preferred":false,"id":304497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lerch, Harry E. tlerch@usgs.gov","contributorId":600,"corporation":false,"usgs":true,"family":"Lerch","given":"Harry","email":"tlerch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":304494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304495,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Winkle, Monica","contributorId":50622,"corporation":false,"usgs":true,"family":"Van Winkle","given":"Monica","email":"","affiliations":[],"preferred":false,"id":304498,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98154,"text":"ofr20101001 - 2010 - Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment","interactions":[],"lastModifiedDate":"2022-06-16T20:37:36.831618","indexId":"ofr20101001","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","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":"2010-1001","title":"Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment","docAbstract":"Felsic volcanic rocks have long been considered a primary source of uranium for many kinds of uranium deposits, but volcanogenic uranium deposits themselves have generally not been important resources. Until the past few years, resource summaries for the United States or the world generally include volcanogenic in the broad category of \"other deposits\" because they comprised less than 0.5 percent of past production or estimated resources. Exploration in the United States from the 1940s through 1982 discovered hundreds of prospects in volcanic rocks, of which fewer than 20 had some recorded production. Intensive exploration in the late 1970s found some large deposits, but low grades (less than about 0.10 percent U3O8) discouraged economic development. A few deposits in the world, drilled in the 1980s and 1990s, are now known to contain large resources (>20,000 tonnes U3O8). However, research on ore-forming processes and exploration for volcanogenic deposits has lagged behind other kinds of uranium deposits and has not utilized advances in understanding of geology, geochemistry, and paleohydrology of ore deposits in general and epithermal deposits in particular. This review outlines new ways to explore and assess for volcanogenic deposits, using new concepts of convection, fluid mixing, and high heat flow to mobilize uranium from volcanic source rocks and form deposits that are postulated to be large. Much can also be learned from studies of epithermal metal deposits, such as the important roles of extensional tectonics, bimodal volcanism, and fracture-flow systems related to resurgent calderas.
Regional resource assessment is helped by genetic concepts, but hampered by limited information on frontier areas and undiscovered districts. Diagnostic data used to define ore deposit genesis, such as stable isotopic data, are rarely available for frontier areas. A volcanic environment classification, with three classes (proximal, distal, and pre-volcanic structures), permits use of geologic features on 1:500,000 to 1:100,000 scale maps. Geochemical databases for volcanic rocks are postulated to be more effective than databases for stream sediments or surface radioactivity, both of which tend to be inconsistent because of variable leaching of uranium from soils. Based on empirical associations, spatial associations with areas of wet paleoclimate, adjacent oil and gas fields, or evaporite beds are deemed positive. Most difficult to estimate is the location of depositional traps and reduction zones, in part because they are mere points at regional scale.
Grade and tonnage data are reviewed and discussed for 32 deposits in the world. Experience of mining engineers and geologists in Asia suggests that tonnages could be higher than presently known in the Western Hemisphere. Geological analysis, and new data from Asia, suggest a typical or median deposit tonnage of about 5,000 tonnes U3O8, and an optimistic forecast of discoveries in the range of 5,000 to 20,000 tonnes U3O8. The likely grade of undiscovered deposits could be about 0.15 percent U3O8 , based on both western and eastern examples. Volcanic terrane is under-explored, relative to other kinds of uranium deposits, and is considered a favorable frontier area for new discoveries.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101001","usgsCitation":"Nash, J.T., 2010, Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment: U.S. Geological Survey Open-File Report 2010-1001, vi, 99 p., https://doi.org/10.3133/ofr20101001.","productDescription":"vi, 99 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1001.gif"},{"id":13397,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1001/","linkFileType":{"id":5,"text":"html"}},{"id":402306,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91039.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd616","contributors":{"authors":[{"text":"Nash, J. Thomas","contributorId":26306,"corporation":false,"usgs":true,"family":"Nash","given":"J.","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":304470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98127,"text":"ofr20101002 - 2010 - Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-12-05T15:33:56.555453","indexId":"ofr20101002","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2010","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":"2010-1002","title":"Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico","docAbstract":"The Mississippi-Alabama shelf is bounded to the west by landforms associated with the Mississippi River Delta, to the north by the barrier-island systems of the Mississippi Alabama shoreline, and to the east by the Desoto Canyon. This portion of the northern Gulf of Mexico has been described as a slowly subsiding, passive continental margin (Sydow and Roberts, 1994). Presently, sediment processes on the shelf are a function of prevailing winds and currents: in the past, however, the shelf was the focus of numerous delta cycles. Major episodes of deposition and erosion on the shelf have occurred in response to oscillations in sea level. This report summarizes these processes and identifies areas of near-surface (<10 m below seafloor) deposits that may be suitable for sediment resources.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101002","usgsCitation":"Flocks, J.G., Sanford, J., and Smith, J., 2010, Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico: U.S. Geological Survey Open-File Report 2010-1002, 43 p., https://doi.org/10.3133/ofr20101002.","productDescription":"43 p.","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":198452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Gulf of Mexico, Mississippi-Alabama shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.06997333565288,\n 30.333077210754652\n ],\n [\n -89.06997333565288,\n 29.17379862103347\n ],\n [\n -87.1204204846309,\n 29.17379862103347\n ],\n [\n -87.1204204846309,\n 30.333077210754652\n ],\n [\n -89.06997333565288,\n 30.333077210754652\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc128","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, Jordan","contributorId":38254,"corporation":false,"usgs":true,"family":"Sanford","given":"Jordan","affiliations":[],"preferred":false,"id":304256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jackie L.","contributorId":105017,"corporation":false,"usgs":true,"family":"Smith","given":"Jackie L.","affiliations":[],"preferred":false,"id":304257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174998,"text":"70174998 - 2010 - Integrating physiology, population dynamics and climate to make multi-scale predictions for the spread of an invasive insect: The Argentine ant at Haleakala National Park, Hawaii","interactions":[],"lastModifiedDate":"2020-09-27T19:25:55.593878","indexId":"70174998","displayToPublicDate":"2010-01-11T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating physiology, population dynamics and climate to make multi-scale predictions for the spread of an invasive insect: The Argentine ant at Haleakala National Park, Hawaii","docAbstract":"\n
Mechanistic models for predicting species’ distribution patterns present particular advantages and challenges relative to models developed from statistical correlations between distribution and climate. They can be especially useful for predicting the range of invasive species whose distribution has not yet reached equilibrium. Here, we illustrate how a physiological model of development for the invasive Argentine ant can be connected to differences in micro-site suitability, population dynamics and climatic gradients; processes operating at quite different spatial scales. Our study is located in the subalpine shrubland of Haleakala National Park, Hawaii, where the spread of Argentine ants Linepithema humile has been documented for the past twenty-five years. We report four main results. First, at a microsite level, the accumulation of degree-days recorded in potential ant nest sites under bare ground or rocks was significantly greater than under a groundcover of grassy vegetation. Second, annual degree-days measured where population boundaries have not expanded (456-521 degree-days), were just above the developmental requirements identified from earlier laboratory studies (445 degree-days above 15.98C). Third, rates of population expansion showed a strong linear relationship with annual degree-days. Finally, an empirical relationship between soil degree-days and climate variables mapped at a broader scale predicts the potential for future range expansion of Argentine ants at Haleakala, particularly to the west of the lower colony and the east of the upper colony. Variation in the availability of suitable microsites, driven by changes in vegetation cover and ultimately climate, provide a hierarchical understanding of the distribution of Argentine ants close to their cold-wet limit of climatic tolerances. We conclude that the integration of physiology, population dynamics and climate mapping holds much promise for making more robust predictions about the potential spread of invasive species.
\nThe Delaware Water Gap National Recreation Area (DEWA) contains a rich geologic and cultural history within its 68,714 acre boundary. Following the border between New Jersey and Pennsylvania, the Delaware River has cut a magnificent gorge through Kittatinny Mountain, the Delaware Water Gap, to which all other gaps in the Appalachian Mountains have been compared. Proximity to many institutions of learning in this densely populated area of the northeastern United States (Fig. 1) makes DEWA an ideal locality to study the geology of this part of the Appalachian Mountains. This one-day field trip comprises an overview discussion of structure, stratigraphy, geomorphology, and glacial geology within the gap. It will be highlighted by hiking a choice of several trails with geologic guides, ranging from gentle to difficult. It is hoped that the “professional” discussions at the stops, loaded with typical geologic jargon, can be translated into simple language that can be understood and assimilated by earth science students along the trails. This trip is mainly targeted for earth science educators and for Pennsylvania geologists needing to meet state-mandated education requirements for licensing professional geologists. The National Park Service, the U.S. Geological Survey, the New Jersey Geological Survey, and local schoolteachers had prepared “The Many Faces of Delaware Water Gap: A Curriculum Guide for Grades 3–6” (Ferrence et al., 2003). Copies of this guide will be given to trip participants and can be downloaded from the GSA Data Repository1. The trip will also be useful for instruction at the graduate level. Much of the information presented in this guidebook is modified from Epstein (2006).
","language":"English","publisher":"GSA","doi":"10.1130/2010.0016(06)","usgsCitation":"Epstein, J.B., 2010, Teachers guide to geologic trails in Delaware Water Gap National Recreation Area, Pennsylvania–New Jersey: GSA Field Guides, v. 16, p. 127-147, https://doi.org/10.1130/2010.0016(06).","productDescription":"21 p.","startPage":"127","endPage":"147","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":371045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Delaware Water Gap National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.34423828125,\n 41.17038447781618\n ],\n [\n -74.542236328125,\n 41.17038447781618\n ],\n [\n -74.542236328125,\n 41.96765920367816\n ],\n [\n -75.34423828125,\n 41.96765920367816\n ],\n [\n -75.34423828125,\n 41.17038447781618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Epstein, Jack B. jepstein@usgs.gov","contributorId":1412,"corporation":false,"usgs":true,"family":"Epstein","given":"Jack","email":"jepstein@usgs.gov","middleInitial":"B.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":779075,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70207676,"text":"70207676 - 2010 - 40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","interactions":[],"lastModifiedDate":"2020-01-03T12:45:30","indexId":"70207676","displayToPublicDate":"2010-01-03T12:28:22","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","title":"40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","docAbstract":"40Ar/39Ar dating of muscovite, biotite, and K-feldspar combined with microstructural analysis of lower greenschist-facies, polymetamorphic, phyllitic rocks, and marbles were successfully used to decipher the thermal and tectonic histories of the Westminster and adjacent terranes in western Maryland. The presence of unreset detrital muscovite in some samples demonstrates that temperatures in these rocks never exceeded the closure temperature for argon diffusion in muscovite, ∼350 ± 50 °C. Minor biotite in some arkoses constrains the minimum metamorphic temperatures to ≥∼320 °C. These data show an Early Silurian (ca. 430 Ma) cleavage in the western part of the Westminster terrane and a Late Devonian event (ca. 370 Ma) in the eastern Westminster and adjacent Potomac terranes. These two cleavage domains are separated by the NE-trending, newly identified Parrs Ridge fault zone. We propose that the sinistral transpressive collision of the Carolina terrane with Laurentia emplaced the western portion of the Westminster terrane in the Pennsylvania embayment along the Martic fault where it was folded and cleaved at ca. 430 Ma but otherwise largely sheltered from later deformation. The later Late Devonian dextral transpressive accretion of the outboard Potomac terrane thrust rocks of the eastern Westminster and Potomac terranes to the west, causing Late Devonian (360–370 Ma) S2 cleavage in these rocks, but only minimal discrete overprinting S3 cleavages in rocks farther west. Final juxtaposition and thermal convergence of these terranes occurred along reactivated dextral strike-slip faults in the Alleghanian at ca. 300 Ma.
","language":"English","publisher":"GSA","doi":"10.1130/B30030.1","usgsCitation":"Wintsch, R., Kunk, M.J., Mulvey, B., and Southworth, C.S., 2010, 40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA: GSA Bulletin, v. 122, no. 5-6, p. 658-677, https://doi.org/10.1130/B30030.1.","productDescription":"20 p.","startPage":"658","endPage":"677","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":370982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Westminster terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2451171875,\n 38.13455657705411\n ],\n [\n -76.22314453125,\n 38.12591462924157\n ],\n [\n -75.93200683593749,\n 39.48284540453334\n ],\n [\n -76.57470703125,\n 39.58452390500424\n ],\n [\n -77.0361328125,\n 38.86109762182888\n ],\n [\n -76.2451171875,\n 38.13455657705411\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2009-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Wintsch, R. P.","contributorId":116962,"corporation":false,"usgs":true,"family":"Wintsch","given":"R. P.","affiliations":[],"preferred":false,"id":778849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":778850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mulvey, Brian","contributorId":192712,"corporation":false,"usgs":false,"family":"Mulvey","given":"Brian","email":"","affiliations":[],"preferred":false,"id":778851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southworth, C. Scott 0000-0002-7976-7807 ssouthwo@usgs.gov","orcid":"https://orcid.org/0000-0002-7976-7807","contributorId":1608,"corporation":false,"usgs":true,"family":"Southworth","given":"C.","email":"ssouthwo@usgs.gov","middleInitial":"Scott","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":778852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70120458,"text":"70120458 - 2010 - Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T18:16:09","indexId":"70120458","displayToPublicDate":"2010-01-01T16:15:27","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1071,"text":"Botany","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska","docAbstract":"Plant communities of Unalaska Island in the eastern Aleutian Islands of western Alaska, and their relationship to environmental variables, were studied using a combined Braun-Blanquet and multivariate approach. Seventy relevés represented the range of structural and compositional variation in the matrix of vegetation and landform zonation. Eleven major community types were distinguished within six physiognomic–ecological groups: I. Dry coastal meadows: Honckenya peploides beach meadow, Leymus mollis dune meadow. II. Mesic meadows: Athyrium filix-femina – Aconitum maximum meadow, Athyrium filix-femina – Calamagrostis nutkaensis meadow, Erigeron peregrinus – Thelypteris quelpaertensis meadow. III. Wet snowbed meadow: Carex nigricans snowbed meadow. IV. Heath: Linnaea borealis – Empetrum nigrum heath, Phyllodoce aleutica heath, Vaccinium uliginosum – Thamnolia vermicularis fellfield. V. Mire: Carex pluriflora – Plantago macrocarpa mire. VI. Deciduous shrub thicket: Salix barclayi – Athyrium filix-femina thicket. These were interpreted as a complex gradient primarily influenced by soil moisture, elevation, and pH. Phytogeographical and syntaxonomical analysis of the plant communities indicated that the dry coastal meadows, most of the heaths, and the mire vegetation belonged, respectively, to the widespread classes Honckenyo–Elymetea, Loiseleurio–Vaccinietea, and Scheuchzerio–Caricetea, characterized by their circumpolar and widespread species. Amphi-Beringian species were likely diagnostic of amphi-Beringian syntaxa, many of these yet to be described.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Botany","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/B09-113","usgsCitation":"Talbot, S., Schofield, W., Talbot, S.L., and Daniels, F.J., 2010, Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska: Botany, v. 88, no. 4, p. 366-388, https://doi.org/10.1139/B09-113.","productDescription":"23 p.","startPage":"366","endPage":"388","numberOfPages":"23","ipdsId":"IP-018004","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":292240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/B09-113"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands;Unalaska Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 175.0,45.0 ], [ 175.0,63.0 ], [ -157.0,63.0 ], [ -157.0,45.0 ], [ 175.0,45.0 ] ] ] } } ] }","volume":"88","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edcd57e4b0f61b386d24d2","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":498260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Wilfred B.","contributorId":97827,"corporation":false,"usgs":true,"family":"Schofield","given":"Wilfred B.","affiliations":[],"preferred":false,"id":498261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":498258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Fred J.A.","contributorId":70702,"corporation":false,"usgs":true,"family":"Daniels","given":"Fred","email":"","middleInitial":"J.A.","affiliations":[],"preferred":false,"id":498259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047181,"text":"70047181 - 2010 - To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history","interactions":[],"lastModifiedDate":"2017-09-26T09:54:44","indexId":"70047181","displayToPublicDate":"2010-01-01T16:11:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history","docAbstract":"The eastern central Front Range of the Rocky Mountains in Colorado has long been a region of geologic interest because of Laramide-age hydrothermal polymetallic vein-related ores. The region is characterized by a well-exposed array of geologic structures associated with ductile and brittle deformation, which record crustal strain over 1.7 billion years of continental growth and evolution. The mineralized areas lie along a broad linear zone termed the Colorado Mineral Belt. This lineament has commonly been interpreted as following a fundamental boundary, such as a suture zone, in the North American Proterozoic crust that acted as a persistent zone of weakness localizing the emplacement of magmas and associated hydrothermal fluid flow. However, the details on the controls of the location, orientation, kinematics, density, permeability, and relative strength of various geological structures and their specific relationships to mineral deposit formation are not related to Proterozoic ancestry in a simple manner. The objectives of this field trip are to show key localities typical of the various types of structures present, show recently compiled and new data, offer alternative conceptual models, and foster dialogue. Topics to be discussed include: (1) structural history of the eastern Front Range; (2) characteristics, kinematics, orientations, and age of ductile and brittle structures and how they may or may not relate to one another and mineral deposit permeability; and (3) characteristics, localization, and evolution of the metal and non–metal-bearing hydrothermal systems in the eastern Colorado Mineral Belt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Field Guides","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.0018(06)","usgsCitation":"Caine, J.S., Ridley, J., and Wessel, Z.R., 2010, To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history: GSA Field Guides, v. 18, p. 119-140, https://doi.org/10.1130/2010.0018(06).","productDescription":"22 p.","startPage":"119","endPage":"140","numberOfPages":"22","ipdsId":"IP-022378","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2010.0018(06)"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Mineral Belt","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.9899,37.9765 ], [ -107.9899,40.9914 ], [ -102.881,40.9914 ], [ -102.881,37.9765 ], [ -107.9899,37.9765 ] ] ] } } ] }","volume":"18","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"51f78eece4b02e26443a93cc","contributors":{"authors":[{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":481259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ridley, John","contributorId":77024,"corporation":false,"usgs":true,"family":"Ridley","given":"John","email":"","affiliations":[],"preferred":false,"id":481260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessel, Zachary R.","contributorId":104795,"corporation":false,"usgs":true,"family":"Wessel","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481261,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043237,"text":"70043237 - 2010 - Real-time decision support systems: the famine early warning system network","interactions":[],"lastModifiedDate":"2017-03-27T12:13:31","indexId":"70043237","displayToPublicDate":"2010-01-01T15:08:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Real-time decision support systems: the famine early warning system network","docAbstract":"A multi-institutional partnership, the US Agency for International Development’s Famine Early Warning System Network (FEWS NET) provides routine monitoring of climatic, agricultural, market, and socioeconomic conditions in over 20 countries. FEWS NET supports and informs disaster relief decisions that impact millions of people and involve billions of dollars. In this chapter, we focus on some of FEWS NET’s hydrologic monitoring tools, with a specific emphasis on combining “low frequency” and “high frequency” assessment tools. Low frequency assessment tools, tied to water and food balance estimates, enable us to evaluate and map long-term tendencies in food security. High frequency assessments are supported by agrohydrologic models driven by satellite rainfall estimates, such as the Water Requirement Satisfaction Index (WRSI). Focusing on eastern Africa, we suggest that both these high and low frequency approaches are necessary to capture the interaction of slow variations in vulnerability and the relatively rapid onset of climatic shocks.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Satellite rainfall applications for surface hydrology","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"Rijeka, Croatia","doi":"10.1007/978-90-481-2915-7_17","isbn":"9789048129140; 9789048121957","usgsCitation":"Funk, C.C., and Verdin, J.P., 2010, Real-time decision support systems: the famine early warning system network, chap. of Satellite rainfall applications for surface hydrology, p. 295-320, https://doi.org/10.1007/978-90-481-2915-7_17.","productDescription":"26 p.","startPage":"295","endPage":"320","numberOfPages":"26","ipdsId":"IP-012627","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275640,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-90-481-2915-7_17"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2009-09-30","publicationStatus":"PW","scienceBaseUri":"51fa31e6e4b076c3a8d82674","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199773,"text":"70199773 - 2010 - Measuring sediment accretion in early tidal marsh restoration","interactions":[],"lastModifiedDate":"2018-09-27T14:46:13","indexId":"70199773","displayToPublicDate":"2010-01-01T14:45:21","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Measuring sediment accretion in early tidal marsh restoration","docAbstract":"Sediment accretion is a critical indicator of initial progress in tidal marsh restoration. However, it is often difficult to measure early deposition rates, because the bottom surface is usually obscured under turbid, tidally-influenced waters. To accurately measure early sediment deposition in marshes, we developed an echosounder system consisting of a specialized acoustic profiler, differential global positioning system unit, and laptop computer mounted on a shallow-draft boat. We conducted a bathymetry at the Tubbs Setback tidal restoration site on San Pablo Bay, California, along north–south transects at 25-m intervals. Horizontal position was recorded within 1 m each second and water depth to 1 cm every 0.05 s. Bottom elevations were adjusted for tidal height with surveyed tide gages. We created detailed bathymetric maps (grid cell size: 12.5 m x 12.5 m) by interpolation with inverse distance weighting. During the third year after restoration, sediment accretion averaged 57.1 ± 1.1 cm and the estimated sediment gain was 132,900 m3. The mean difference between the elevations from the bathymetry system and the 9 sediment pins was 2.0 ± 1.0 cm. The mean difference of the intersection points of east–west and north–south survey transects was 2.1 ± 0.2 cm, which provided a measure of repeatability with changing water levels. Our echosounder system provided accurate and repeatable measurements of sediment accretion of a recently restored tidal wetland, and this system proved to be a viable tool for determining sediment deposition in marshes and assessing early restoration progress.
","language":"English","publisher":"Springer","doi":"10.1007/s11273-009-9170-6","usgsCitation":"Takekawa, J.Y., Woo, I., Athearn, N.D., Demers, S.A., Gardiner, R.J., Perry, W.M., Ganju, N., Shellenbarger, G., and Schoellhamer, D., 2010, Measuring sediment accretion in early tidal marsh restoration: Wetlands Ecology and Management, 9 p., https://doi.org/10.1007/s11273-009-9170-6.","productDescription":"9 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","noUsgsAuthors":false,"publicationDate":"2010-02-11","publicationStatus":"PW","scienceBaseUri":"5c10c78de4b034bf6a7f5c2a","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"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":true,"id":746548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demers, Scott A.","contributorId":62411,"corporation":false,"usgs":true,"family":"Demers","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardiner, Rachel J.","contributorId":174164,"corporation":false,"usgs":false,"family":"Gardiner","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":746552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":746554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":174805,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746556,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70236423,"text":"70236423 - 2010 - Historic and paleo-submarine landslide deposits imaged beneath Port Valdez, Alaska: Implications for tsunami generation in a glacial fiord","interactions":[],"lastModifiedDate":"2022-10-13T14:42:42.758189","indexId":"70236423","displayToPublicDate":"2010-01-01T12:21:13","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5696,"text":"Advances in natural and technological hazards research","active":true,"publicationSubtype":{"id":24}},"title":"Historic and paleo-submarine landslide deposits imaged beneath Port Valdez, Alaska: Implications for tsunami generation in a glacial fiord","docAbstract":"During the 1964 M9.2 great Alaskan earthquake, submarine-slope failures resulted in the generation of highly destructive tsunamis at Port Valdez, Alaska. A high-resolution, mini-sparker reflection profiler was used to image debris lobes, which we attribute to slope failures that occurred both during and prior to the 1964 megathrust event. In these reflection profiles, debris lobe deposits are indicated by acoustically opaque units that are separated by undisturbed parallel-layered reflectors. Near-surface debris lobes attributed to the 1964 earthquake include: (1) a debris lobe over 30 m thick that emanates from the fiord-head delta in eastern Port Valdez; and (2) debris flow lobes incorporating large, intact blocks up to 40 m high in western Port Valdez, off the Shoup Glacier moraine. In addition to the near-surface debris lobes, we imaged at least five additional debris lobe deposits buried beneath the 1964 deposit. The debris lobe directly beneath the 1964 deposit has a similar thickness and spatial distribution as the 1964 deposit. However, the older, deeper, debris lobes are thinner, less extensive, and separated by thinner sequences of parallel-layered reflectors. Glacier retreat and concomitant build-up of the fiord-head delta combined with longer time intervals between megathrust events may have resulted in more extensive delta failures and thus thicker debris lobes through time.
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