The geological record contains evidence of volcanic eruptions that were as much as two orders of magnitude larger than the most voluminous eruption experienced by modern civilizations, the A.D. 1815 Tambora (Indonesia) eruption. Perhaps nowhere on Earth are deposits of such supereruptions more prominent than in the Snake River Plain–Yellowstone Plateau (SRP-YP) volcanic province (northwest United States). While magmatic activity at Yellowstone is still ongoing, the Heise volcanic field in eastern Idaho represents the youngest complete caldera cycle in the SRP-YP, and thus is particularly instructive for current and future volcanic activity at Yellowstone. The Heise caldera cycle culminated 4.5 Ma ago in the eruption of the ∼1800 km3 Kilgore Tuff. Accessory zircons in the Kilgore Tuff display significant intercrystalline and intracrystalline oxygen isotopic heterogeneity, and the vast majority are 18O depleted. This suggests that zircons crystallized from isotopically distinct magma batches that were generated by remelting of subcaldera silicic rocks previously altered by low-δ18O meteoric-hydrothermal fluids. Prior to eruption these magma batches were assembled and homogenized into a single voluminous reservoir. U-Pb geochronology of isotopically diverse zircons using chemical abrasion–isotope dilution–thermal ionization mass spectrometry yielded indistinguishable crystallization ages with a weighted mean 206Pb/238U date of 4.4876 ± 0.0023 Ma (MSWD = 1.5; n = 24). These zircon crystallization ages are also indistinguishable from the sanidine 40Ar/39Ar dates, and thus zircons crystallized close to eruption. This requires that shallow crustal melting, assembly of isolated batches into a supervolcanic magma reservoir, homogenization, and eruption occurred extremely rapidly, within the resolution of our geochronology (103–104 yr). The crystal-scale image of the reservoir configuration, with several isolated magma batches, is very similar to the reservoir configurations inferred from seismic data at active supervolcanoes. The connection of magma batches vertically distributed over several kilometers in the upper crust would cause a substantial increase of buoyancy overpressure, providing an eruption trigger mechanism that is the direct consequence of the reservoir assembly process.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G35979.1","usgsCitation":"Wotzlaw, J., Bindeman, I., Watts, K.E., Schmitt, A., Caricchi, L., and Schaltegger, U., 2014, Linking rapid magma reservoir assembly and eruption trigger mechanisms at evolved Yellowstone-type supervolcanoes: Geology, v. 42, no. 9, p. 807-810, https://doi.org/10.1130/G35979.1.","productDescription":"4 p.","startPage":"807","endPage":"810","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057603","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":321300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.29150390625,\n 44.05601169578525\n ],\n [\n -109.9072265625,\n 44.05601169578525\n ],\n [\n -109.9072265625,\n 45.089035564831036\n ],\n [\n -111.29150390625,\n 45.089035564831036\n ],\n [\n -111.29150390625,\n 44.05601169578525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65a7e4b07e28b6684601","contributors":{"authors":[{"text":"Wotzlaw, J.F.","contributorId":169319,"corporation":false,"usgs":false,"family":"Wotzlaw","given":"J.F.","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bindeman, I.N.","contributorId":99337,"corporation":false,"usgs":true,"family":"Bindeman","given":"I.N.","affiliations":[],"preferred":false,"id":629331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, Kathryn E. 0000-0002-6110-7499 kwatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":5081,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn","email":"kwatts@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":629329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, A.K.","contributorId":75320,"corporation":false,"usgs":true,"family":"Schmitt","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":629332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caricchi, L.","contributorId":169320,"corporation":false,"usgs":false,"family":"Caricchi","given":"L.","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaltegger, U.","contributorId":169321,"corporation":false,"usgs":false,"family":"Schaltegger","given":"U.","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70117207,"text":"70117207 - 2014 - Paleoseismology of the Southern Section of the Black Mountains and Southern Death Valley Fault Zones, Death Valley, United States","interactions":[],"lastModifiedDate":"2014-07-21T11:38:24","indexId":"70117207","displayToPublicDate":"2014-07-21T09:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Paleoseismology of the Southern Section of the Black Mountains and Southern Death Valley Fault Zones, Death Valley, United States","docAbstract":"The Death Valley Fault System (DVFS) is part of the southern Walker Lane–eastern California shear zone. The normal Black Mountains Fault Zone (BMFZ) and the right-lateral Southern Death Valley Fault Zone (SDVFZ) are two components of the DVFS. Estimates of late Pleistocene-Holocene slip rates and recurrence intervals for these two fault zones are uncertain owing to poor relative age control. The BMFZ southernmost section (Section 1W) steps basinward and preserves multiple scarps in the Quaternary alluvial fans. We present optically stimulated luminescence (OSL) dates ranging from 27 to 4 ka of fluvial and eolian sand lenses interbedded with alluvial-fan deposits offset by the BMFZ. By cross-cutting relations, we infer that there were three separate ground-rupturing earthquakes on BMFZ Section 1W with vertical displacement between 5.5 m and 2.75 m. The slip-rate estimate is ∼0.2 to 1.8 mm/yr, with an earthquake recurrence interval of 4,500 to 2,000 years. Slip-per-event measurements indicate Mw 7.0 to 7.2 earthquakes. The 27–4-ka OSL-dated alluvial fans also overlie the putative Cinder Hill tephra layer. Cinder Hill is offset ∼213 m by SDVFZ, which yields a tentative slip rate of 1 to 8 mm/yr for the SDVFZ.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Engineering Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America, Association of Engineering Geologists","publisherLocation":"College Station, TX","doi":"10.2113/gseegeosci.20.2.177","usgsCitation":"Sohn, M.S., Knott, J.R., and Mahan, S., 2014, Paleoseismology of the Southern Section of the Black Mountains and Southern Death Valley Fault Zones, Death Valley, United States: Environmental & Engineering Geoscience, v. 20, no. 2, p. 177-198, https://doi.org/10.2113/gseegeosci.20.2.177.","productDescription":"22 p.","startPage":"177","endPage":"198","numberOfPages":"22","ipdsId":"IP-035052","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":290535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290501,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/gseegeosci.20.2.177"}],"country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.0,35.5 ], [ -118.0,37.5 ], [ -116.0,37.5 ], [ -116.0,35.5 ], [ -118.0,35.5 ] ] ] } } ] }","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-06-26","publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8ef","contributors":{"authors":[{"text":"Sohn, Marsha S.","contributorId":51213,"corporation":false,"usgs":true,"family":"Sohn","given":"Marsha","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knott, Jeffrey R.","contributorId":81408,"corporation":false,"usgs":true,"family":"Knott","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":495973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095010,"text":"ds813 - 2014 - Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","interactions":[],"lastModifiedDate":"2026-05-28T21:25:52.947634","indexId":"ds813","displayToPublicDate":"2014-07-18T08:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"813","title":"Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","docAbstract":"The Rialto-Colton Basin is in western San Bernardino County, about 60 miles east of Los Angeles, California. The basin is bounded by faults on the northeast and southwest sides and contains multiple barriers to groundwater flow. The structural geology of the basin leads to complex hydrology. Between 2001 and 2008, in an effort to better understand the complex hydrologic system of the Rialto-Colton Basin, seven multiple-well monitoring sites were constructed. Two to six observation wells were installed in the borehole at each site; a total of 32 observation wells were installed. This report presents geologic, hydrologic, and water-quality data collected from these seven multiple-well monitoring sites.
\nDescriptions of the collected drill cuttings were compiled into lithologic logs for each monitoring site. The lithologic logs are summarized along with the geophysical logs, including gamma-ray, spontaneous potential, resistivity, and electromagnetic induction tool logs. At selected sites, sonic tool logs also were recorded. Periodic water-level measurements are reported, and water-level data are displayed on hydrographs. Water levels at multiple-well monitoring sites in the northern part of the study area differed between the shallow and deep observation wells; in the remaining multiple-well monitoring sites, water levels differed little with depth. Along the southern trace of the Rialto-Colton Fault, water levels are slightly higher east of the fault than west of the fault. Selected water-quality data for 21 of the observation wells show water from wells in the northern and central parts of the study area is calcium-carbonate water. In the southern part of the study area, water from wells screened above 400 feet below land surface is of mixed type or is calcium-carbonate water. Water from wells screened greater than 400 feet below land surface in the southern part of the study area is sodium-carbonate or sodium-mixed anion water. Water from most wells in the study area plots above the Global Meteoric Water Line along an apparent local meteoric water line, indicating the water has not experienced substantial evaporation before infiltration. A few samples from shallow wells in the study area plot slightly to the right of the Global Meteoric Water Line, possibly indicating the water experienced some evaporation before recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds813","collaboration":"Prepared in cooperation with the San Bernardino Valley Municipal Water District West Valley Water District","usgsCitation":"Teague, N.F., Brown, A.A., and Woolfenden, L.R., 2014, Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California: U.S. Geological Survey Data Series 813, ix, 76 p., https://doi.org/10.3133/ds813.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","ipdsId":"IP-037038","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504838,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100417.htm","linkFileType":{"id":5,"text":"html"}},{"id":290412,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ds813.jpg"},{"id":290404,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/813/"},{"id":290411,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/813/pdf/ds813.pdf"}],"country":"United States","state":"California","city":"San Bernadino","otherGeospatial":"Rialto-Colton Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.424317,34.050113 ], [ -117.424317,34.24764 ], [ -117.164972,34.24764 ], [ -117.164972,34.050113 ], [ -117.424317,34.050113 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b29e4b0b290850f9d4c","contributors":{"authors":[{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70114887,"text":"sir20145119 - 2014 - Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","interactions":[],"lastModifiedDate":"2014-07-17T15:11:58","indexId":"sir20145119","displayToPublicDate":"2014-07-17T14:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5119","title":"Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","docAbstract":"The hydrogeology, hydrology, and geochemistry of groundwater and surface water in the upper (western) 860 square miles of the Yakima River Basin in Kittitas County, Washington, were studied to evaluate the groundwater-flow system, occurrence and availability of groundwater, and the extent of groundwater/surface-water interactions. The study area ranged in altitude from 7,960 feet in its headwaters in the Cascade Range to 1,730 feet at the confluence of the Yakima River with Swauk Creek. A west-to-east precipitation gradient exists in the basin with the western, high-altitude headwaters of the basin receiving more than 100 inches of precipitation per year and the eastern, low-altitude part of the basin receiving about 20 inches of precipitation per year. From the early 20th century onward, reservoirs in the upper part of the basin (for example, Keechelus, Kachess, and Cle Elum Lakes) have been managed to store snowmelt for irrigation in the greater Yakima River Basin. Canals transport water from these reservoirs for irrigation in the study area; additional water use is met through groundwater withdrawals from wells and surface-water withdrawals from streams and rivers. Estimated groundwater use for domestic, commercial, and irrigation purposes is reported for the study area.
\nA complex assemblage of sedimentary, metamorphic, and igneous bedrock underlies the study area. In a structural basin in the southeastern part of the study area, the bedrock is overlain by unconsolidated sediments of glacial and alluvial origin. Rocks and sediments were grouped into six hydrogeologic units based on their lithologic and hydraulic characteristics. A map of their extent was developed from previous geologic mapping and lithostratigraphic information from drillers’ logs. Water flows through interstitial space in unconsolidated sediments, but largely flows through fractures and other sources of secondary porosity in bedrock. Generalized groundwater-flow directions within the unconfined part of the aquifers in unconsolidated sediments indicate generalized groundwater movement toward the Yakima River and its tributaries and the outlet of the study area.
\nGroundwater movement through fractures within the bedrock aquifers is complex and varies over spatial scales depending on the architecture of the fracture-flow system and its hydraulic properties. The complexity of the fracturedbedrock groundwater-flow system is supported by a wide range of groundwater ages determined from geochemical analyses of carbon-14, sulfur hexafluoride, and tritium in groundwater. These geochemical data also indicate that the shallow groundwater system is actively flushing with young, isotopically heavy groundwater, but isotopicallylight, Pleistocene-age groundwater with a geochemicallyevolved composition occurs at depth within the fracturedbedrock aquifers of upper Kittitas County. An eastward depletion of stable isotopes in groundwater is consistent with hydrologically separate subbasins. This suggests that groundwater that recharges in one subbasin is not generally available for withdrawal or discharge into surface-water features within other subbasins. Water budget components were calculated for 11 subbasins using a watershed model and varied based on the climate, land uses, and geology of the subbasin.
\nSynoptic streamflow measurements made in August 2011 indicate that groundwater discharges into several tributaries of the Yakima River with several losses of streamflow measured where the streams exit bedrock uplands and flow over unconsolidated sediments. Profiles of stream temperature during late summer suggest cool groundwater inflow over discrete sections of streams. This groundwater/surfacewater connection is further supported by the stable-isotope composition of stream water, which reflects the local stableisotope composition of groundwater measured at some wells and springs.
\nCollectively, these hydrogeologic, hydrologic, and geochemical data support a framework for evaluating the potential effects of future groundwater appropriations on senior surface-water and groundwater rights and streamflows. Although total pumping rates in upper Kittitas County of about 3.5 cubic feet per second are small relative to other components of the water budget, the magnitude, timing, and location of withdrawals may have important effects on the hydrologic system. The heterogeneous and variably fractured bedrock in the study area precluded a detailed evaluation of localized effects of pumping, but several generalizations about the groundwater and surface-water systems can be made. These generalizations include evidence for the continuity between the groundwater and surface-water system apparent from synoptic streamflow measurements, stream-temperature profiles, and stable-isotope data of groundwater and surface waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145119","collaboration":"Prepared in cooperation with the Washington State Department of Ecology and Kittitas County","usgsCitation":"Gendaszek, A.S., Ely, D.M., Hinkle, S.R., Kahle, S.C., and Welch, W.B., 2014, Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington: U.S. Geological Survey Scientific Investigations Report 2014-5119, Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches, https://doi.org/10.3133/sir20145119.","productDescription":"Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043573","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":290395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145119.jpg"},{"id":290394,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate02.pdf"},{"id":290391,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5119/"},{"id":290392,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir2014-5119.pdf"},{"id":290393,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate01.pdf"}],"projection":"NSRS2007 Universal Transverse Mercator Zone 10N","datum":"North American Datum 1983 NSR2007","country":"United States","state":"Washington","county":"Kittitas County","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,47.083333 ], [ -121.5,47.583333 ], [ -120.5,47.583333 ], [ -120.5,47.083333 ], [ -121.5,47.083333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd610be4b0b290850fd4f0","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":495440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":495437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111061,"text":"ds767 - 2014 - EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","interactions":[],"lastModifiedDate":"2014-08-19T13:14:00","indexId":"ds767","displayToPublicDate":"2014-07-17T08:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"767","title":"EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.
\nThis project provides highly detailed and accurate datasets for a portion of the New Jersey coastline beachface, acquired pre-Hurricane Sandy on October 26, and post-Hurricane Sandy on November 1 and November 5, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar system, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map nearshore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.
\nElevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.
\nFor more information about similar projects, please visit the Lidar for Science and Resource Management Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds767","usgsCitation":"Wright, C.W., Fredericks, X., Troche, R.J., Klipp, E.S., Kranenburg, C., and Nagle, D.B., 2014, EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface (Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1): U.S. Geological Survey Data Series 767, HTML Document, https://doi.org/10.3133/ds767.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-045296","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":290337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds767.jpg"},{"id":290331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/767/"},{"id":290336,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/767/html/home.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0504,38.8964 ], [ -75.0504,40.5775 ], [ -73.4996,40.5775 ], [ -73.4996,38.8964 ], [ -75.0504,38.8964 ] ] ] } } ] }","edition":"Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55f9e4b0b290850f6a2d","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":494222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":494221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kranenburg, Christine J.","contributorId":91412,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","affiliations":[],"preferred":false,"id":494223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188503,"text":"70188503 - 2014 - Interagency partnership to assess and restore a degraded urban riverine wetland: Dyke Marsh Wildlife Preserve, Virginia","interactions":[],"lastModifiedDate":"2019-12-17T09:44:59","indexId":"70188503","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Interagency partnership to assess and restore a degraded urban riverine wetland: Dyke Marsh Wildlife Preserve, Virginia","docAbstract":"The narrow-leaved cattail wetland known as Dyke Marsh formally became a land holding of George Washington Memorial Parkway (GWMP, a unit of the national park system) in 1959, along with a congressional directive to honor a newly-let 30-year commercial sand and gravel dredge-mining lease at the site. Dredging continued until 1974 when Public Law 93-251 called for the National Park Service and the United States Army Corps of Engineers to “implement restoration of the historical and ecological values of Dyke Marsh.” By that time, about 83 acres of the marsh remained, and no congressional funding accompanied the passage of the law to effect any immediate conservation or restoration. Decades of dredge mining had severely altered the surface area of Dyke Marsh, the extent of its tidal creek system, and the shallow river bottom of the Potomac River abutting the marsh. Further, mining destabilized the marsh, causing persistent erosion, shoreline retreat, and tidal channel widening after mining ceased. Erosion has continued unchecked until the present; approximately 50 acres of the original marsh are now estimated to remain. The specific cause of persistent erosion had been unknown prior to this collaborative study but previously was assumed to be due to flooding by the Potomac River.
","language":"English","publisher":"George Wright Society","usgsCitation":"Steury, B.W., Litwin, R.J., Oberg, E.T., Smoot, J.P., Pavich, M.J., Sanders, G., and Santucci, V.L., 2014, Interagency partnership to assess and restore a degraded urban riverine wetland: Dyke Marsh Wildlife Preserve, Virginia: The George Wright Forum, v. 31, no. 2, p. 116-128.","productDescription":"13 p.","startPage":"116","endPage":"128","ipdsId":"IP-056031","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Dyke Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.1075439453125,\n 38.731054199763825\n ],\n [\n -77.03887939453125,\n 38.731054199763825\n ],\n [\n -77.03887939453125,\n 38.79476766282312\n ],\n [\n -77.1075439453125,\n 38.79476766282312\n ],\n [\n -77.1075439453125,\n 38.731054199763825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3be4b0764e6c65dc5d","contributors":{"authors":[{"text":"Steury, Brent W.","contributorId":192883,"corporation":false,"usgs":false,"family":"Steury","given":"Brent","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":698050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litwin, Ronald J. 0000-0002-8661-1296 rlitwin@usgs.gov","orcid":"https://orcid.org/0000-0002-8661-1296","contributorId":2478,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","email":"rlitwin@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":698049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberg, Erik T.","contributorId":192884,"corporation":false,"usgs":false,"family":"Oberg","given":"Erik","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":698051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":698052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, Geoffrey","contributorId":192885,"corporation":false,"usgs":false,"family":"Sanders","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":698054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santucci, Vincent L.","contributorId":192886,"corporation":false,"usgs":false,"family":"Santucci","given":"Vincent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":698055,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189123,"text":"70189123 - 2014 - Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2020-12-28T17:55:15.571323","indexId":"70189123","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska","docAbstract":"The Nome Complex is a large metamorphic unit that sits along the southern boundary of the Arctic Alaska–Chukotka terrane, the largest of several micro continental fragments of uncertain origin located between the Siberian and Laurentian cratons. The Arctic Alaska–Chukotka terrane moved into its present position during the Mesozoic; its Mesozoic and older movements are central to reconstruction of Arctic tectonic history. Accurate representation of the Arctic Alaska–Chukotka terrane in reconstructions of Late Proterozoic and early Paleozoic paleogeography is hampered by the paucity of information available. Most of the Late Proterozoic to Paleozoic rocks in the Alaska–Chukotka terrane were penetratively deformed and recrystallized during the Mesozoic deformational events; primary features and relationships have been obliterated, and age control is sparse.
We use a variety of geochemical, geochronologic, paleontologic, and geologic tools to read through penetrative deformation and reconstruct the protolith sequence of part of the Arctic Alaska–Chukotka terrane, the Nome Complex. We confirm that the protoliths of the Nome Complex were part of the same Late Proterozoic to Devonian continental margin as weakly deformed rocks in the southern and central part of the terrane, the Brooks Range. We show that the protoliths of the Nome Complex represent a carbonate platform (and related rocks) that underwent incipient rifting, probably during the Ordovician, and that the carbonate platform was overrun by an influx of siliciclastic detritus during the Devonian. During early phases of the transition to siliciclastic deposition, restricted basins formed that were the site of sedimentary exhalative base-metal sulfide deposition. Finally, we propose that most of the basement on which the largely Paleozoic sedimentary protolith was deposited was subducted during the Mesozoic.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2506(01)","usgsCitation":"Till, A.B., Dumoulin, J.A., Ayuso, R.A., Aleinikoff, J.N., Amato, J.M., Slack, J.F., and Shanks, W.P., 2014, Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska: GSA Special Papers, 506, 28 p., https://doi.org/10.1130/2014.2506(01).","productDescription":"506, 28 p.","ipdsId":"IP-018337","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Nome Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.3,\n 64.2\n ],\n [\n -161,\n 64.2\n ],\n [\n -161,\n 66.6\n ],\n [\n -168.3,\n 66.6\n ],\n [\n -168.3,\n 64.2\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576337e4b0d1f9f051b52f","contributors":{"authors":[{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":703064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":703065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":703066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amato, Jeffrey M.","contributorId":67317,"corporation":false,"usgs":true,"family":"Amato","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":703075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":703076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shanks, W.C. Pat III","contributorId":93949,"corporation":false,"usgs":true,"family":"Shanks","given":"W.C.","suffix":"III","email":"","middleInitial":"Pat","affiliations":[],"preferred":false,"id":703077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70112698,"text":"sim3301 - 2014 - Estimated 2012 groundwater potentiometric surface and drawdown from predevelopment to 2012 in the Santa Fe Group aquifer system in the Albuquerque metropolitan area, central New Mexico","interactions":[],"lastModifiedDate":"2014-07-17T08:21:56","indexId":"sim3301","displayToPublicDate":"2014-07-16T16:50:00","publicationYear":"2014","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":"3301","title":"Estimated 2012 groundwater potentiometric surface and drawdown from predevelopment to 2012 in the Santa Fe Group aquifer system in the Albuquerque metropolitan area, central New Mexico","docAbstract":"Historically, the water-supply requirements of the Albuquerque metropolitan area of central New Mexico were met almost exclusively by groundwater withdrawal from the Santa Fe Group aquifer system. In response to water-level declines, the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began diverting water from the San Juan-Chama Drinking Water Project in December 2008 to reduce the use of groundwater to meet municipal demand. Modifications in the demand for water and the source of the supply of water for the Albuquerque metropolitan area have resulted in a variable response in the potentiometric surface of the production zone (the interval of the aquifer, from within about 200 feet below the water table to 900 feet or more, in which supply wells generally are screened) of the Santa Fe Group aquifer system. Analysis of the magnitude and spatial distribution of water-level change can help improve the understanding of how the groundwater system responds to withdrawals and variations in the management of the water supply and can support water-management agencies’ efforts to minimize future water-level declines and improve sustainability. The U.S. Geological Survey (USGS), in cooperation with the ABCWUA, has developed an estimate of the 2012 potentiometric surface of the production zone of the Santa Fe Group aquifer system in the Albuquerque metropolitan area. This potentiometric surface is the latest in a series of reports depicting the potentiometric surface of the area.
\nThis report presents the estimated potentiometric surface during winter (from December to March) of water year 2012 and the estimated changes in potentiometric surface between predevelopment (pre-1961) and water year 2012 for the production zone of the Santa Fe Group aquifer system in the Albuquerque metropolitan area. Hydrographs from selected piezometers are included to provide details of historical water-level changes.
\nIn general, water-level measurements used for this report were collected in small-diameter observation wells screened over short intervals near the middle of the production zone and were considered to best represent the potentiometric head in the production zone. The water-level measurements were collected by various local and Federal agencies. The water year 2012 potentiometric surface map was created in a geographic information system, and the change in water-level altitude from predevelopment to water year 2012 was calculated. The 2012 potentiometric surface indicates that the general direction of groundwater flow is from the Rio Grande towards clusters of supply wells in the east, north, and west. Water-level changes from predevelopment to 2012 were variable across the Albuquerque metropolitan area. Estimated drawdown from 2008 was spatially variable across the Albuquerque metropolitan area. Hydrographs from piezometers on the east side of the river indicate an increase in the annual highest water-level measurement from 2008 to 2012. Hydrographs from piezometers in the northwest part of the study area indicate either steady decline of the water-level altitude over the period of record or recently variable trends in which water-level altitudes increased for a number of years but have declined since water year 2012.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3301","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Powell, R.I., and McKean, S., 2014, Estimated 2012 groundwater potentiometric surface and drawdown from predevelopment to 2012 in the Santa Fe Group aquifer system in the Albuquerque metropolitan area, central New Mexico: U.S. Geological Survey Scientific Investigations Map 3301, Map: 42.02 x 27.60 inches; Downloads Directory, https://doi.org/10.3133/sim3301.","productDescription":"Map: 42.02 x 27.60 inches; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-050935","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":290328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3301.jpg"},{"id":290326,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3301/pdf/sim3301.pdf"},{"id":290327,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3301/downloads/"},{"id":290324,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3301/"}],"scale":"50000","projection":"Universal Transverse Mercator Zone 13N projection","datum":"North American Datum of 1983 and North American Vertical Datum of 1988","country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Santa Fe Group Aquifer System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.00,34.75 ], [ -107.00,35.75 ], [ -106.50,35.75 ], [ -106.50,34.75 ], [ -107.00,34.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c790d2e4b019484164240b","contributors":{"authors":[{"text":"Powell, Rachel I. ripowell@usgs.gov","contributorId":5502,"corporation":false,"usgs":true,"family":"Powell","given":"Rachel","email":"ripowell@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":494843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKean, Sarah E.","contributorId":71894,"corporation":false,"usgs":true,"family":"McKean","given":"Sarah E.","affiliations":[],"preferred":false,"id":494844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188617,"text":"70188617 - 2014 - Site response in the eastern United States: A comparison of Vs30 measurements with estimates from horizontal:vertical spectral ratios","interactions":[],"lastModifiedDate":"2020-12-28T17:57:50.271694","indexId":"70188617","displayToPublicDate":"2014-07-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Site response in the eastern United States: A comparison of Vs30 measurements with estimates from horizontal:vertical spectral ratios","docAbstract":"Earthquake damage is often increased due to local ground-motion amplification caused by soft soils, thick basin sediments, topographic effects, and liquefaction. A critical factor contributing to the assessment of seismic hazard is detailed information on local site response. In order to address and quantify the site response at seismograph stations in the eastern United States, we investigate the regional spatial variation of horizontal:vertical spectral ratios (HVSR) using ambient noise recorded at permanent regional and national network stations as well as temporary seismic stations deployed in order to record aftershocks of the 2011 Mineral, Virginia, earthquake. We compare the HVSR peak frequency to surface measurements of the shear-wave seismic velocity to 30 m depth (Vs30) at 21 seismograph stations in the eastern United States and find that HVSR peak frequency increases with increasing Vs30. We use this relationship to estimate the National Earthquake Hazards Reduction Program soil class at 218 ANSS (Advanced National Seismic System), GSN (Global Seismographic Network), and RSN (Regional Seismograph Networks) locations in the eastern United States, and suggest that this seismic station–based HVSR proxy could potentially be used to calibrate other site response characterization methods commonly used to estimate shaking hazard.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2509(04)","usgsCitation":"McNamara, D.E., Stephenson, W.J., Odum, J., Williams, R., and Gee, L., 2014, Site response in the eastern United States: A comparison of Vs30 measurements with estimates from horizontal:vertical spectral ratios: GSA Special Papers, v. 509, p. 67-79, https://doi.org/10.1130/2015.2509(04).","productDescription":"13 p.","startPage":"67","endPage":"79","ipdsId":"IP-056760","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.921875,\n 24.487148563173424\n ],\n [\n -66.357421875,\n 24.487148563173424\n ],\n [\n -66.357421875,\n 47.724544549099676\n ],\n [\n -94.921875,\n 47.724544549099676\n ],\n [\n -94.921875,\n 24.487148563173424\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"509","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5948e2a7e4b062508e354c74","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odum, Jackson K. 0000-0003-4697-2430 odum@usgs.gov","orcid":"https://orcid.org/0000-0003-4697-2430","contributorId":1365,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson K.","email":"odum@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gee, Lind 0000-0003-2883-9847 lgee@usgs.gov","orcid":"https://orcid.org/0000-0003-2883-9847","contributorId":193064,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698624,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70114687,"text":"ofr20131030 - 2014 - Surficial geologic map of the Charleston region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina","interactions":[],"lastModifiedDate":"2022-04-18T18:57:20.43877","indexId":"ofr20131030","displayToPublicDate":"2014-07-10T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1030","title":"Surficial geologic map of the Charleston region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina","docAbstract":"This map portrays the surface and shallow subsurface geology of the greater Charleston, S.C. region east of 80°30′ west and south of 33°15′ north. The region covers the entirety of Charleston County and portions of Berkeley, Colleton, Dorchester, and Georgetown Counties. Units locally exposed at the surface range in age from middle Eocene to Holocene, but most of the area is covered by Quaternary interglacial deposits. These are, from oldest to youngest, the Okefenokee, Waccamaw(?), Penholoway, Ladson, Ten Mile Hill, and Wando Formations and the Silver Bluff beds. Two cross sections, one running southeast from Harleyville to the coastline on James Island and the other running along the coastal barrier islands from the town of Edisto Beach to the northeast end of Bull Island at the southwest edge of Bull Bay, portray the complex geometry of the Paleogene and Neogene marine units that directly lie beneath the Quaternary units. These older units include the Santee Limestone, Tupelo Bay, Parkers Ferry, Ashley, Chandler Bridge, Edisto, Parachucla, and Marks Head Formations, the Goose Creek Limestone, and the Raysor Formation. The estimated locations of deeply buried active basement faults are shown which are responsible for ongoing modern seismicity in the Charleston, S.C. area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131030","usgsCitation":"Weems, R.E., Lewis, W., and Lemon, E.M., 2014, Surficial geologic map of the Charleston region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina: U.S. Geological Survey Open-File Report 2013-1030, 1 Plate: 50.14 x 47.63 inches, https://doi.org/10.3133/ofr20131030.","productDescription":"1 Plate: 50.14 x 47.63 inches","onlineOnly":"Y","ipdsId":"IP-042573","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":438760,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HB0RFE","text":"USGS data release","linkHelpText":"Database for the Surficial Geologic Map of the Charleston Region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina"},{"id":289710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131030.jpg"},{"id":289708,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1030/"},{"id":289709,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1030/pdf/ofr2013-1030.pdf"},{"id":398957,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100396.htm"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"1983 North American datum","country":"United States","state":"South Carolina","county":"Berkeley County, Charleston County, Colleton County, Dorchester County, Georgetown County","otherGeospatial":"Charleston region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.50,32.50 ], [ -80.50,33.25 ], [ -79.25,33.25 ], [ -79.25,32.50 ], [ -80.50,32.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bfa7d7e4b06d97a6487cf4","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":495405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, William C.","contributorId":50878,"corporation":false,"usgs":true,"family":"Lewis","given":"William C.","affiliations":[],"preferred":false,"id":495407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lemon, Earl M. Jr.","contributorId":20210,"corporation":false,"usgs":true,"family":"Lemon","given":"Earl","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495406,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115721,"text":"70115721 - 2014 - Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California","interactions":[],"lastModifiedDate":"2014-07-08T09:47:55","indexId":"70115721","displayToPublicDate":"2014-07-08T09:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California","docAbstract":"Chaparral and coastal sage scrub habitats in southern California support biologically diverse plant and animal communities. However, native plant and animal species within these shrubland systems are increasingly exposed to human-caused wildfires and an expansion of the human–wildland interface. Few data exist to evaluate the effects of fire and anthropogenic pressures on plant and animal communities found in these environments. This is particularly true for carnivore communities. To address this knowledge gap, we collected detection–non-detection data with motion-sensor cameras and track plots to measure carnivore occupancy patterns following a large, human-caused wildfire (1134 km2) in eastern San Diego County, California, USA, in 2003. Our focal species set included coyote (Canis latrans), gray fox (Urocyon cinereoargenteus), bobcat (Lynx rufus) and striped skunk (Mephitis mephitis). We evaluated the influence on species occupancies of the burned environment (burn edge, burn interior and unburned areas), proximity of rural homes, distance to riparian area and elevation. Gray fox occupancies were the highest overall, followed by striped skunk, coyote and bobcat. The three species considered as habitat and foraging generalists (gray fox, coyote, striped skunk) were common in all conditions. Occupancy patterns were consistent through time for all species except coyote, whose occupancies increased through time. In addition, environmental and anthropogenic variables had weak effects on all four species, and these responses were species-specific. Our results helped to describe a carnivore community exposed to frequent fire and rural human residences, and provide baseline data to inform fire management policy and wildlife management strategies in similar fire-prone ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Australia","doi":"10.1071/WF13062","usgsCitation":"Schuette, P., Diffendorfer, J., Deutschman, D., Tremor, S., and Spencer, W., 2014, Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California: International Journal of Wildland Fire, v. 23, no. 4, p. 591-600, https://doi.org/10.1071/WF13062.","productDescription":"10 p.","startPage":"591","endPage":"600","numberOfPages":"10","ipdsId":"IP-053061","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472887,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/8925","text":"External Repository"},{"id":289515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289497,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF13062"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.777778,32.791667 ], [ -116.777778,33.083333 ], [ -116.444444,33.083333 ], [ -116.444444,32.791667 ], [ -116.777778,32.791667 ] ] ] } } ] }","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d7e4b00cbf31f72321","contributors":{"authors":[{"text":"Schuette, P.A.","contributorId":34438,"corporation":false,"usgs":true,"family":"Schuette","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":495674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, J.E.","contributorId":28569,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":495673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deutschman, D.H.","contributorId":13183,"corporation":false,"usgs":true,"family":"Deutschman","given":"D.H.","affiliations":[],"preferred":false,"id":495671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tremor, S.","contributorId":93396,"corporation":false,"usgs":true,"family":"Tremor","given":"S.","affiliations":[],"preferred":false,"id":495675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, W.","contributorId":14303,"corporation":false,"usgs":true,"family":"Spencer","given":"W.","email":"","affiliations":[],"preferred":false,"id":495672,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70112950,"text":"ofr20141124 - 2014 - Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-05-26T15:26:39.266888","indexId":"ofr20141124","displayToPublicDate":"2014-07-08T08:40:00","publicationYear":"2014","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":"2014-1124","title":"Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","docAbstract":"The bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle was completed in a cooperative effort of the U.S. Geological Survey (USGS) and the Navajo Nation to provide regional geologic information for management and planning officials. This report provides baseline geologic information that will be useful in future studies of groundwater and surface water resources, geologic hazards, and the distribution of soils and plants.
\nThe west half of the Sanders quadrangle encompasses approximately 2,509 km2 (980 mi2) within Navajo and Apache Counties of northern Arizona and is bounded by lat 35°30' to 35° N., long 109°30' to 110° W. The majority of the land within the map area lies within the Navajo Nation. South of the Navajo Nation, private and State lands form a checkerboard pattern east and west of Petrified Forest National Park.
\nIn the west half of the Sanders quadrangle, Mesozoic bedrock is nearly flat lying except near folds. A shallow Cenozoic erosional basin that developed about 20 Ma in the western part of the map area cut across late Paleozoic and Mesozoic rocks that were subsequently filled with flat-lying Miocene and Pliocene mudstone and argillaceous sandstone and fluvial sediments of the Bidahochi Formation and associated volcanic rocks of the Hopi Buttes volcanic field. The Bidahochi rocks are capped by Pliocene(?) and Pleistocene fluvial sediments and Quaternary eolian and alluvial deposits. Erosion along northeast-southwest-oriented drainages have exposed elongated ridges of Bidahochi Formation and basin-fill deposits that are exposed through shallow eolian cover of similarly oriented longitudinal dunes. Stokes (1964) concluded that the accumulation of longitudinal sand bodies and the development of confined parallel drainages are simultaneous processes resulting in parallel sets of drainages and ridges oriented along the prevailing southwest wind direction on the southern Colorado Plateau.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141124","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Amoroso, L., Priest, S.S., and Hiza-Redsteer, M., 2014, Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona: U.S. Geological Survey Open-File Report 2014-1124, 2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata, https://doi.org/10.3133/ofr20141124.","productDescription":"2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042294","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289506,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417503,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100395.htm","linkFileType":{"id":5,"text":"html"}},{"id":289511,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141124.jpg"},{"id":289508,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_shape.zip"},{"id":289509,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":289504,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289505,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289507,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_database.zip"},{"id":289510,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_metadata.txt"},{"id":289500,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1124/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Polyconic projection","datum":"1927 North American Datum","country":"United States","state":"Arizona","county":"Apache County, Navajo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,35.0 ], [ -110.0,35.5 ], [ -109.5,35.5 ], [ -109.5,35.0 ], [ -110.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dbe4b00cbf31f72335","contributors":{"authors":[{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494961,"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":494962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiza-Redsteer, Margaret","contributorId":77020,"corporation":false,"usgs":true,"family":"Hiza-Redsteer","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":494963,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115120,"text":"ofr20141135 - 2014 - 2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2014-07-08T08:57:21","indexId":"ofr20141135","displayToPublicDate":"2014-07-08T08:35:00","publicationYear":"2014","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":"2014-1135","title":"2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona","docAbstract":"Measurements of weather parameters and aeolian sand transport were made in 2010 near selected archeological sites in the Colorado River corridor through Grand Canyon, Arizona. Data collected in 2010 indicate event- and seasonal-scale variations in rainfall, wind, temperature, humidity, and barometric pressure. Differences in weather patterns between 2009 and 2010 included a slightly later spring windy season, greater spring precipitation and annual rainfall totals, and a later onset and length of the reduced diurnal barometric-pressure fluctuations commonly associated with summer monsoon conditions. The increase in spring precipitation was consistent with the 2010 spring El Niño conditions compared to the 2009 spring La Niña conditions, whereas the subsequent transition to an El Niño-Southern Oscillation neutral phase appeared to delay the reduction in diurnal barometric fluctuations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141135","usgsCitation":"Dealy, T.P., East, A., and Fairley, H., 2014, 2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona: U.S. Geological Survey Open-File Report 2014-1135, vi, 90 p., https://doi.org/10.3133/ofr20141135.","productDescription":"vi, 90 p.","numberOfPages":"100","onlineOnly":"Y","ipdsId":"IP-041383","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":289503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141135.jpg"},{"id":289502,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1135/pdf/ofr2014-1135.pdf"},{"id":289499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1135/"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.5 ], [ -114.5,37.25 ], [ -110.75,37.25 ], [ -110.75,35.5 ], [ -114.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d2e4b00cbf31f7231f","contributors":{"authors":[{"text":"Dealy, Timothy P.","contributorId":19263,"corporation":false,"usgs":true,"family":"Dealy","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E.","contributorId":91407,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","affiliations":[],"preferred":false,"id":495565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":495563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048967,"text":"sir20105090O - 2014 - Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","interactions":[{"subject":{"id":70048967,"text":"sir20105090O - 2014 - Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","indexId":"sir20105090O","publicationYear":"2014","noYear":false,"chapter":"O","title":"Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2022-12-22T19:41:36.072193","indexId":"sir20105090O","displayToPublicDate":"2014-07-01T10:45:00","publicationYear":"2014","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":"2010-5090","chapter":"O","title":"Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","docAbstract":"Regional maps of phyllic and argillic hydrothermal alteration were compiled using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and logical operator algorithms. The area mapped extends from northwestern Iran to southeastern Pakistan and includes volcanic and magmatic arcs that make up the Urumieh-Dokhtar volcanic belt (UDVB), the Chagai volcanic belt (CVB), and the central part of the Alborz magmatic belt (AMB). The volcanic belts span the Zagros-Makran transform zone and the present day Baluchistan (Makran) volcanic arc. ASTER visible near infrared (VNIR) data contain three bands between 0.52 and 0.86 micrometers (μm) and the short-wave infrared (SWIR) data consist of six bands spanning 1.6 to 2.43 μm with 15-meter (m), and 30-m resolution, respectively.
\n\n
During the 8-year project, three different calibration methods were used to correct ASTER SWIR anomalies and produce ASTER calibrated reflectance data, which were then used to map hydrothermally altered rocks. Logical operators, used to map hydrothermally altered rocks, perform multiple band ratios and thresholds that can be applied to multiple ASTER scenes using a single algorithm, thus eliminating separate production and application of vegetation and dark pixel masks. Argillic and phyllic band ratio logical operators use band ratios that define the 2.17- and 2.20-μm absorption features to map kaolinite and alunite, typical in argillized rocks, and muscovite, which is a common mineral in phyllic alteration. Band thresholds for ratios in argillic and phyllic logical operator algorithms were determined by mapping known argillic and phyllic rocks at a calibration test site in Cuprite, Nevada, in the United States.
\n\n
The regional argillic and phyllic hydrothermal alteration map and geologic and deposit maps of the study area illustrate that distinct patterns of altered rocks are typically associated with certain types of mineral deposits. The central part of the UDVB contains numerous circular to elliptical patterns (1 to 5 kilometers in diameter) of mapped phyllic- and argillic-altered rocks associated with Eocene to Miocene intrusive igneous rocks, some of which host known porphyry copper deposits such as at Meiduk, Sar Cheshmeh, and Seridune in Iran. The Zagros-Makran transform zone and areas adjacent to the Saindak porphyry deposit and Taftan Volcano contain primarily phyllic-altered rocks that form linear patterns associated with extensive faulting and fractures indicative of epithermal and (or) polymetallic vein deposits.
\n\n
The ASTER alteration map and corresponding geologic maps were used to select circular to elliptical patterns of argillic- and phyllic-altered volcanic and intrusive rocks as potential porphyry copper sites. One hundred and seventy eight potential porphyry copper sites were mapped along the UDVB, and 23 sites were mapped along the CVB. The potential sites were selected to assist in further exploration and assessments of undiscovered porphyry copper deposits.
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Bedrock exposed in this area is composed of Mississippian to lower Permian (Cisuralian) marine sedimentary rocks and the Jurassic Hunter Mountain Quartz Monzonite. These units are overlain by Tertiary and Quaternary nonmarine sedimentary deposits that include a previously unrecognized tuff to which we tentatively assign an age of late middle Miocene (~12 Ma) based on tephrochronologic analysis, in addition to the previously recognized Pliocene tuff of Mesquite Spring.
\nMississippian and Pennsylvanian rocks in the Marble Canyon area represent deposition on the western continental shelf of North America. Mississippian limestone units in the area (Tin Mountain, Stone Canyon, and Santa Rosa Hills Limestones) accumulated on the outer part of a broad carbonate platform that extended southwest across Nevada into east-central California. Carbonate sedimentation was interrupted by a major eustatic sea-level fall that has been interpreted to record the onset of late Paleozoic glaciation in southern Gondwana. Following a brief period of Late Mississippian clastic sedimentation (Indian Springs Formation), a rise in eustatic sea level led to establishment of a new carbonate platform that covered most of the area previously occupied by the Mississippian platform. The Pennsylvanian Bird Spring Formation at Marble Canyon makes up the outer platform component of ten third-order (1 to 5 m.y. duration) stratigraphic sequences recently defined for the regional platform succession.
\nThe regional paleogeography was fundamentally changed by major tectonic activity along the continental margin beginning in middle early Permian time. As a result, the Pennsylvanian carbonate shelf at Marble Canyon subsided and was disconformably overlain by lower Permian units (Osborne Canyon and Darwin Canyon Formations) representing part of a deep-water turbidite basin filled primarily by fine-grained siliciclastic sediment derived from cratonal sources to the east. Deformation and sedimentation along the western part of this basin continued into late Permian time. The culminating phase was part of a regionally extensive late Permian thrust system that included the Marble Canyon thrust fault just west of the present map area.
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}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca54e4b07c5f79a7f315","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":494170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belasky, 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Center","active":true,"usgs":true}],"preferred":true,"id":494163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandberg, Charles A. sandberg@usgs.gov","contributorId":2362,"corporation":false,"usgs":true,"family":"Sandberg","given":"Charles","email":"sandberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olson, Holly A. holson@usgs.gov","contributorId":5305,"corporation":false,"usgs":true,"family":"Olson","given":"Holly","email":"holson@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":494168,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70155928,"text":"70155928 - 2014 - Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift","interactions":[],"lastModifiedDate":"2022-11-15T16:52:08.479835","indexId":"70155928","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift","docAbstract":"The Grand Canyon region provides an excellent laboratory to examine the interplay between river incision, magmatism, and the geomorphic and tectonic processes that shape landscapes. Here we apply U-series, Ar–Ar, and cosmogenic burial dating of river terraces to examine spatial variations in incision rates along the 445 km length of the Colorado River through Grand Canyon. We also analyze strath terrace sequences that extend to heights of several hundred meters above the river, and integrate these with speleothem constrained maximum incision rates in several reaches to examine any temporal incision variations at the million-year time frame. This new high-resolution geochronology shows temporally steady long-term incision in any given reach of Grand Canyon but significant variations along its length from 160 m/Ma in the east to 101 m/Ma in the west. Spatial and temporal patterns of incision, and the long timescale of steady incision rule out models where geomorphic controls such as climate oscillations, bedrock strength, sediment load effects, or isostatic response to differential denudation are the first order drivers of canyon incision. The incision pattern is best explained by a model of Neogene and ongoing epeirogenic uplift due to an eastward propagating zone of increased upper mantle buoyancy that we infer from propagation of Neogene basaltic volcanism and a strong lateral gradient in modern upper mantle seismic structure.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.04.020","usgsCitation":"Crow, R.S., Karlstrom, K., Darling, A., Crossey, L., Polyak, V., Granger, D.E., Asmerom, Y., and Schmandt, B., 2014, Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift: Earth and Planetary Science Letters, v. 397, p. 159-173, https://doi.org/10.1016/j.epsl.2014.04.020.","productDescription":"15 p.","startPage":"159","endPage":"173","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066671","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":306658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.59379497680267,\n 36.6929399332291\n ],\n [\n -111.94676561696494,\n 36.740664983905035\n ],\n [\n -112.04882941653004,\n 36.47781060258208\n ],\n [\n -112.81430791326767,\n 36.62470987367253\n ],\n [\n -113.36290083592937,\n 36.47781060258208\n ],\n [\n -113.75839805924363,\n 36.29979231513401\n ],\n [\n -113.90724110027564,\n 36.275797198598525\n ],\n [\n -113.88172515038474,\n 36.00104382856546\n ],\n [\n -113.51174387696136,\n 35.83573051138508\n ],\n [\n -111.75114333446551,\n 36.21406159893991\n ],\n [\n -111.59379497680267,\n 36.69634984861277\n ],\n [\n -111.59379497680267,\n 36.6929399332291\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfbce4b08400b1fe143a","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":566931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":146274,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16657,"text":"Prof. UNM","active":true,"usgs":false}],"preferred":false,"id":566932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darling, Andrew","contributorId":146280,"corporation":false,"usgs":false,"family":"Darling","given":"Andrew","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":566938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crossey, Laura","contributorId":146275,"corporation":false,"usgs":false,"family":"Crossey","given":"Laura","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":566933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polyak, Victor","contributorId":146279,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":566937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granger, Darryl E.","contributorId":191610,"corporation":false,"usgs":false,"family":"Granger","given":"Darryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":857042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Asmerom, Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":857043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":857044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70102113,"text":"sir20145053 - 2014 - Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011","interactions":[],"lastModifiedDate":"2017-10-12T20:12:34","indexId":"sir20145053","displayToPublicDate":"2014-06-30T17:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5053","title":"Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011","docAbstract":"The Missouri River and its tributaries are an important resource that serve multiple uses including agriculture, energy, recreation, and municipal water supply. Understanding historical streamflow characteristics provides relevant guidance to adaptive management of these water resources. Streamflow records in the Missouri River watershed were examined for trends in time series of annual, seasonal, and monthly streamflow. A total of 227 streamgages having continuous observational records for water years 1960–2011 were examined. Kendall’s tau nonparametric test was used to determine statistical significance of trends in annual, seasonal, and monthly streamflow. A trend was considered statistically significant for a probability value less than or equal to 0.10 that the Kendall’s tau value equals zero. Significant trends in annual streamflow were indicated for 101 out of a total of 227 streamgages. The Missouri River watershed was divided into six watershed regions and trends within regions were examined. The western and the southern parts of the Missouri River watershed had downward trends in annual streamflow (56 streamgages), whereas the eastern part of the watershed had upward trends in streamflow (45 streamgages). Seasonal and monthly streamflow trends reflected prevailing annual streamflow trends within each watershed region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145053","usgsCitation":"Norton, P.A., Anderson, M.T., and Stamm, J., 2014, Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011: U.S. Geological Survey Scientific Investigations Report 2014-5053, Report: v, 128 p.; Downloads Directory, https://doi.org/10.3133/sir20145053.","productDescription":"Report: v, 128 p.; Downloads Directory","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-044683","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145053.jpg"},{"id":289268,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5053/"},{"id":289275,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5053/downloads/"},{"id":289267,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5053/pdf/sir2014-5053.pdf"}],"projection":"Albers Equal-Area Conic projection","country":"United States","otherGeospatial":"Missouri River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,50.0 ], [ -85.0,50.0 ], [ -85.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d2e4b07b8813a55461","contributors":{"authors":[{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Mark T. 0000-0002-1477-6788 manders@usgs.gov","orcid":"https://orcid.org/0000-0002-1477-6788","contributorId":1764,"corporation":false,"usgs":true,"family":"Anderson","given":"Mark","email":"manders@usgs.gov","middleInitial":"T.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095530,"text":"ofr20141045 - 2014 - Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","interactions":[],"lastModifiedDate":"2019-03-05T08:58:37","indexId":"ofr20141045","displayToPublicDate":"2014-06-30T11:45:00","publicationYear":"2014","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":"2014-1045","title":"Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","docAbstract":"As part of the U.S. Geological Survey’s (USGS) multi-hazards project in the Long Valley Caldera-Mono Lake area, the California Geological Survey (CGS) developed several earthquake scenarios and evaluated potential seismic hazards, including ground shaking, surface fault rupture, liquefaction, and landslide hazards associated with these earthquake scenarios. The results of these analyses can be useful in estimating the extent of potential damage and economic losses because of potential earthquakes and also for preparing emergency response plans.
The Long Valley Caldera-Mono Lake area has numerous active faults. Five of these faults or fault zones are considered capable of producing magnitude ≥6.7 earthquakes according to the Uniform California Earthquake Rupture Forecast, Version 2 (UCERF 2) developed by the 2007 Working Group on California Earthquake Probabilities (WGCEP) and the USGS National Seismic Hazard Mapping Program. These five faults are the Fish Slough, Hartley Springs, Hilton Creek, Mono Lake, and Round Valley Faults. CGS developed earthquake scenarios for these five faults in the study area and for the White Mountains Fault Zone to the east of the study area.
In this report, an earthquake scenario is intended to depict the potential consequences of significant earthquakes. A scenario earthquake is not necessarily the largest or most damaging earthquake possible on a recognized fault. Rather it is both large enough and likely enough that emergency planners should consider it in regional emergency response plans. In particular, the ground motion predicted for a given scenario earthquake does not represent a full probabilistic hazard assessment, and thus it does not provide the basis for hazard zoning and earthquake-resistant building design.
Earthquake scenarios presented here are based on fault geometry and activity data developed by the WGCEP, and are consistent with the 2008 Update of the United States National Seismic Hazard Maps (NSHM). Alternatives to the NSHM scenario were developed for the Hilton Creek and Hartley Springs Faults to account for different opinions in how far these two faults extend into Long Valley Caldera. For each scenario, ground motions were calculated using the current standard practice: the deterministic seismic hazard analysis program developed by Art Frankel of USGS and three Next Generation Ground Motion Attenuation (NGA) models. Ground motion calculations incorporated the potential amplification of seismic shaking by near-surface soils defined by a map of the average shear wave velocity in the uppermost 30 m (VS30) developed by CGS.
In addition to ground shaking and shaking-related ground failure such as liquefaction and earthquake induced landslides, earthquakes cause surface rupture displacement, which can lead to severe damage of buildings and lifelines. For each earthquake scenario, potential surface fault displacements are estimated using deterministic and probabilistic approaches. Liquefaction occurs when saturated sediments lose their strength because of ground shaking. Zones of potential liquefaction are mapped by incorporating areas where loose sandy sediments, shallow groundwater, and strong earthquake shaking coincide in the earthquake scenario. The process for defining zones of potential landslide and rockfall incorporates rock strength, surface slope, and existing landslides, with ground motions caused by the scenario earthquake.
Each scenario is illustrated with maps of seismic shaking potential and fault displacement, liquefaction, and landslide potential. Seismic shaking is depicted by the distribution of shaking intensity, peak ground acceleration, and 1.0-second spectral acceleration. One-second spectral acceleration correlates well with structural damage to surface facilities. Acceleration greater than 0.2 g is often associated with strong ground shaking and may cause moderate to heavy damage. The extent of strong shaking is influenced by subsurface fault dip and near surface materials. Strong shaking is more widespread in the hanging wall regions of a normal fault. Larger ground motions also occur where young alluvial sediments amplify the shaking. Both of these effects can lead to strong shaking that extends farther from the fault on the valley side than on the hill side.
The effect of fault rupture displacements may be localized along the surface trace of the mapped earthquake fault if fault geometry is simple and the fault traces are accurately located. However, surface displacement hazards can spread over a few hundred meters to a few kilometers if the earthquake fault has numerous splays or branches, such as the Hilton Creek Fault. Faulting displacements are estimated to be about 1 meter along normal faults in the study area and close to 2 meters along the White Mountains Fault Zone.
All scenarios show the possibility of widespread ground failure. Liquefaction damage would likely occur in the areas of higher ground shaking near the faults where there are sandy/silty sediments and the depth to groundwater is 6.1 meters (20 feet) or less. Generally, this means damage is most common near lakes and streams in the areas of strongest shaking. Landslide potential exists throughout the study region. All steep slopes (>30 degrees) present a potential hazard at any level of shaking. Lesser slopes may have landslides within the areas of the higher ground shaking. The landslide hazard zones also are likely sources for snow avalanches during winter months and for large boulders that can be shaken loose and roll hundreds of feet down hill, which happened during the 1980 Mammoth Lakes earthquakes.
Whereas methodologies used in estimating ground shaking, liquefaction, and landslides are well developed and have been applied in published hazard maps; methodologies used in estimating surface fault displacement are still being developed. Therefore, this report provides a more in-depth and detailed discussion of methodologies used for deterministic and probabilistic fault displacement hazard analyses for this project.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141045","collaboration":"California Geological Survey Special Report 233","usgsCitation":"Chen, R., Branum, D.M., Wills, C.J., and Hill, D.P., 2018, Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018): U.S. Geological Survey Open-File Report 2014–1045, and California Geological Survey Special Report 233, 84 p., https://doi.org/10.3133/ofr20141045.","productDescription":"viii, 84 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-036752","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":289212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141045.jpg"},{"id":350484,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_versionhist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1045"},{"id":289207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/","text":"Index Page"},{"id":289211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_v2.0.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1045"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera;Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.5,37.15 ], [ -119.5,38.2 ], [ -117.5,38.2 ], [ -117.5,37.15 ], [ -119.5,37.15 ] ] ] } } ] }","edition":"Version 1.0: Originally posted June 2014; Version 2.0: January 2018","contact":"Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
Record rainfall combined with above-average temperatures and substantial spring snowmelt resulted in record flooding throughout New York during 2011. Rainfall totals in eastern New York were the greatest since 1895 and as much as 60 percent above the long-term average within the Catskill Mountains area and the Susquehanna River Basin. This report documents the three largest storms and resultant flooding during the year: (1) spring storm during April and May, (2) Tropical Storm Irene during August, and (3) remnants of Tropical Storm Lee during September. According to the Federal Emergency Management Agency (FEMA), the cost of these three storms exceeded $1 billion in Federal disaster assistance.
\nA warm and wet spring in northern New York resulted in record flooding at 21 U.S. Geological Survey (USGS) active streamgages during late April to early May with the annual exceedance probabilities (AEPs) of 11 peak discharges equaling or exceeding 1 percent. Nearly 5 inches of rain during late April combined with a rapidly melting snowpack caused widespread flooding throughout northern New York, resulting in many road closures, millions of dollars in damages, and 23 counties declared disaster areas and eligible for public assistance. On May 6, Lake Champlain recorded its highest lake level in over 140 years.
\nHurricane Irene entered New York State on August 28 as a tropical storm and traveled up the eastern corridor of the State, leaving a path of destruction and damage never seen in many parts of New York. Thirty-one counties in New York were declared disaster areas with damages of over $1.3 billion dollars and 10 reported deaths. Storm rainfall exceeded 18 inches in the Catskill Mountains area of southeastern New York with many other areas of eastern New York receiving over 7 inches. Catastrophic flooding resulted from the extreme rainfall in many locations, including Schoharie Creek and its tributaries, the eastern Delaware River Basin, the Ausable and Bouquet River Basins in northeastern New York, and several other stream basins throughout southeastern New York. Downstream reaches of the Mohawk River also had substantial flooding. Sixty-two USGS streamgages throughout eastern New York documented record high stream flows and elevations with AEPs of 25 peak discharges equaling or exceeding 1 percent. The USGS streamgage for the Schoharie Creek at Prattsville recorded its greatest peak discharge in 109 years of record at 120,000 cubic feet per second (greater than the 0.2-percent AEP discharge) on August 28. The peak water-surface elevation at the streamgage in Prattsville was 5 feet higher than its previous record in 1996. USGS personnel surveyed 184 high-water marks (HWMs) at 30 locations along an 84-mile reach of Schoharie Creek and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Elevations in the lower reaches of the basin exceeded published elevations for the 0.2-percent AEP flood.
\nRemnants of Tropical Storm Lee brought a third major storm to New York in September 2011. Moisture from Lee began moving into New York on September 7 and intensified over the already saturated Susquehanna River Basin. Most of the rain fell on September 8 with storm totals nearing 13 inches in some areas (12.73 inches at Apalachin in Tioga County). Major disaster declarations were issued for 15 counties in and around central New York, making them eligible for individual or public assistance. Ten USGS streamgages within the Susquehanna River Basin documented record-high stream discharges and elevations on September 8, and all were greater than the 1-percent AEP discharge. USGS personnel surveyed 20 HWMs at 18 locations along a 114- mile reach of the Susquehanna River and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Several of the surveyed HWMs exceeded published elevations for the 0.2-percent AEP flood.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145058","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lumia, R., Firda, G.D., and Smith, T., 2014, Floods of 2011 in New York: U.S. Geological Survey Scientific Investigations Report 2014-5058, Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches, https://doi.org/10.3133/sir20145058.","productDescription":"Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches","numberOfPages":"252","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-050803","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289096,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5058/pdf/sir2014-5058.pdf"},{"id":289095,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5058/"},{"id":289097,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig02.pdf"},{"id":289098,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig27.pdf"},{"id":289099,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig11.pdf"},{"id":289100,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig31.pdf"},{"id":289101,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig53.pdf"},{"id":289102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145058.jpg"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7621,40.496 ], [ -79.7621,45.0159 ], [ -71.8563,45.0159 ], [ -71.8563,40.496 ], [ -79.7621,40.496 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a6","contributors":{"authors":[{"text":"Lumia, Richard rlumia@usgs.gov","contributorId":4579,"corporation":false,"usgs":true,"family":"Lumia","given":"Richard","email":"rlumia@usgs.gov","affiliations":[],"preferred":true,"id":492053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firda, Gary D. gfirda@usgs.gov","contributorId":1552,"corporation":false,"usgs":true,"family":"Firda","given":"Gary","email":"gfirda@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":492052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Travis L. tlsmith@usgs.gov","contributorId":4805,"corporation":false,"usgs":true,"family":"Smith","given":"Travis L.","email":"tlsmith@usgs.gov","affiliations":[],"preferred":true,"id":492054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70104622,"text":"ofr20121258 - 2014 - High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts","interactions":[],"lastModifiedDate":"2014-06-25T13:28:53","indexId":"ofr20121258","displayToPublicDate":"2014-06-25T13:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1258","title":"High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts","docAbstract":"Swath interferometric bathymetery data were collected within and around Muskeget Channel and along select nearshore areas south and east of Martha's Vineyard, Massachusetts. Data were collected aboard the U.S. Geological Survey research vessel Rafael in October and November 2010 in a collaborative effort between the U.S. Geological Survey and the Woods Hole Oceanographic Institution. This report describes the data-collection methods and -processing steps and releases the data in geospatial format. These data were collected to support an assessment of the effect on sediment transport that a tidal instream energy conversion facility would have within Muskeget Channel. Baseline bathymetry data were obtained for the Muskeget Channel area, and surveys in select areas were repeated after one month to monitor sediment transport and bedform migration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121258","issn":"2331-1258","collaboration":"Prepared in cooperation with the Woods Hole Oceanographic Institution","usgsCitation":"Pendleton, E., Denny, J.F., Danforth, W.W., Baldwin, W.E., and Irwin, B.J., 2014, High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts: U.S. Geological Survey Open-File Report 2012-1258, HTML Document, https://doi.org/10.3133/ofr20121258.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-042558","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121258.jpg"},{"id":289052,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1258/"},{"id":289053,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1258/ofr2012-1258_title_page.html"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"Massachusetts","otherGeospatial":"Muskeget Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.5,41.25 ], [ -70.5,41.416667 ], [ -70.333333,41.416667 ], [ -70.333333,41.25 ], [ -70.5,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe152e4b0dad35f8e8c9e","contributors":{"authors":[{"text":"Pendleton, Elizabeth A.","contributorId":101312,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":493769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Barry J. birwin@usgs.gov","contributorId":3889,"corporation":false,"usgs":true,"family":"Irwin","given":"Barry","email":"birwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111040,"text":"pp1804 - 2014 - Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States","interactions":[],"lastModifiedDate":"2023-12-14T13:40:11.599696","indexId":"pp1804","displayToPublicDate":"2014-06-25T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1804","title":"Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States","docAbstract":"This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act of 2007 and to conduct a comprehensive national assessment of storage and flux (flow) of carbon and the fluxes of other greenhouse gases in ecosystems of the Eastern United States. These carbon and greenhouse gas variables were examined for major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and aquatic ecosystems (rivers, streams, lakes, estuaries, and coastal waters) in the Eastern United States in two time periods: baseline (from 2001 through 2005) and future (projections from the end of the baseline through 2050). The Great Lakes were not included in this assessment due to a lack of input data. The assessment was based on measured and observed data collected by the U.S. Geological Survey and many other agencies and organizations and used remote sensing, statistical methods, and simulation models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1804","issn":"2330-7102","isbn":"978-1-4113-3794-7","usgsCitation":"2014, Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States: U.S. Geological Survey Professional Paper 1804, vi, 204 p., https://doi.org/10.3133/pp1804.","productDescription":"vi, 204 p.","numberOfPages":"214","onlineOnly":"N","ipdsId":"IP-045915","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":289038,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1804.jpg"},{"id":289036,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1804/"},{"id":289037,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1804/pdf/pp1804.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,25.0 ], [ -100.0,50.0 ], [ -65.0,50.0 ], [ -65.0,25.0 ], [ -100.0,25.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe14fe4b0dad35f8e8c9c","contributors":{"editors":[{"text":"Zhu, Zhi-Liang zzhu@usgs.gov","contributorId":3636,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","email":"zzhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509855,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":509854,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70103478,"text":"fs20143045 - 2014 - Hydrogeologic aspects of the Knippa Gap area in eastern Uvalde and western Medina counties, Texas","interactions":[],"lastModifiedDate":"2026-06-24T21:18:45.660514","indexId":"fs20143045","displayToPublicDate":"2014-06-25T09:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3045","title":"Hydrogeologic aspects of the Knippa Gap area in eastern Uvalde and western Medina counties, Texas","docAbstract":"The Edwards aquifer is the primary source of potable water for the San Antonio area in south-central Texas. The Knippa Gap area is a structural low (trough) postulated to channel or restrict flow in the Edwards aquifer in eastern Uvalde and western Medina Counties, Tex. To better understand the function of the Knippa Gap, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, developed the first detailed surficial geologic map of the Knippa Gap area with data and information obtained from previous investigations and field observations. A simplified version of the detailed geologic map depicting the hydrologic units, faulting, and structural dips of the Knippa Gap area is provided in this fact sheet. The map shows that groundwater flow in the Edwards aquifer is influenced by the Balcones Fault Zone, a structurally complex area of the aquifer that contains relay ramps that have formed in extensional fault systems and allowed for deformational changes along fault blocks. Faulting in southeast Uvalde and southwest Medina Counties has produced relay-ramp structures that dip downgradient to the structural low (trough) of the Knippa Gap.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143045","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lambert, R.B., Clark, A.K., Pedraza, D.E., and Morris, R., 2014, Hydrogeologic aspects of the Knippa Gap area in eastern Uvalde and western Medina counties, Texas: U.S. Geological Survey Fact Sheet 2014-3045, 6 p., https://doi.org/10.3133/fs20143045.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055858","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":289040,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3045/pdf/fs2014-3045.pdf"},{"id":289039,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3045/"},{"id":289041,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143045.jpg"},{"id":505881,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100288.htm","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Medina County, Uvalde County","otherGeospatial":"Knippa Gap","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,29.0 ], [ -100.0,29.5 ], [ -98.25,29.5 ], [ -98.25,29.0 ], [ -100.0,29.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe153e4b0dad35f8e8ca0","contributors":{"authors":[{"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":493351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70100469,"text":"sim3294 - 2014 - Geologic map of the Granite 7.5' quadrangle, Lake and Chaffee Counties, Colorado","interactions":[],"lastModifiedDate":"2014-06-24T11:26:23","indexId":"sim3294","displayToPublicDate":"2014-06-24T11:00:00","publicationYear":"2014","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":"3294","title":"Geologic map of the Granite 7.5' quadrangle, Lake and Chaffee Counties, Colorado","docAbstract":"The geologic map of the Granite 7.5' quadrangle, Lake and Chaffee Counties, Colorado, portrays the geology in the upper Arkansas valley and along the lower flanks of the Sawatch Range and Mosquito Range near the town of Granite. The oldest rocks, exposed in the southern and eastern parts of the quadrangle, include gneiss and plutonic rocks of Paleoproterozoic age. These rocks are intruded by younger plutonic rocks of Mesoproterozoic age. Felsic hypabyssal dikes, plugs, and plutons, ranging in age from Late Cretaceous or Paleocene to late Oligocene, locally intruded Proterozoic rocks. A small andesite lava flow of upper Oligocene age overlies Paleoproterozoic rock, just south of the Twin Lakes Reservoir. Gravelly fluvial and fan deposits of the Miocene and lower Pliocene(?) Dry Union Formation are preserved in the post-30 Ma upper Arkansas valley graben, a northern extension of the Rio Grande rift. Mostly north-northwest-trending faults displace deposits of the Dry Union Formation and older rock units. Light detection and ranging (lidar) imagery suggests that two short faults, near the Arkansas River, may displace surficial deposits as young as middle Pleistocene.
\nSurficial deposits of middle Pleistocene to Holocene age are widespread in the Granite quadrangle, particularly in the major valleys and on slopes underlain by the Dry Union Formation. The main deposits are glacial outwash and post-glacial alluvium; mass-movement deposits transported by creep, debris flow, landsliding, and rockfall; till deposited during the Pinedale, Bull Lake, and pre-Bull Lake glaciations; rock-glacier deposits; and placer-tailings deposits formed by hydraulic mining and other mining methods used to concentrate native gold.
\nHydrologic and geologic processes locally affect use of the land and locally may be of concern regarding the stability of buildings and infrastructure, chiefly in low-lying areas along and near stream channels and locally in areas of moderate to steep slopes. Low-lying areas along major and minor streams are subject to periodic stream flooding. Mass-movement deposits and deposits of the Dry Union Formation that underlie moderate to steep slopes are locally subject to creep, debris-flow deposition, and landsliding. Proterozoic rocks that underlie steep slopes are locally subject to rockfall.
\nSand and gravel resources for construction and other uses in and near the Granite quadrangle are present in outwash-terrace deposits of middle and late Pleistocene age along the Arkansas River and along tributary streams in glaciated valleys.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3294","usgsCitation":"Shroba, R.R., Kellogg, K., and Brandt, T.R., 2014, Geologic map of the Granite 7.5' quadrangle, Lake and Chaffee Counties, Colorado: U.S. Geological Survey Scientific Investigations Map 3294, Report: v, 31 p.; 2 Map Sheets: 31.17 x 36.65 inches; Downloads Directory, https://doi.org/10.3133/sim3294.","productDescription":"Report: v, 31 p.; 2 Map Sheets: 31.17 x 36.65 inches; Downloads Directory","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042385","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":289021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3294.jpg"},{"id":289020,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3294/"},{"id":289022,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3294/pdf/sim3294.pdf"},{"id":289023,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3294/downloads/sim3294_map_hillshade.pdf"},{"id":289024,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3294/downloads/sim3294_map.pdf"},{"id":289025,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3294/downloads/"}],"scale":"24000","datum":"North American Datum of 1927","country":"United States","state":"Colorado","county":"Chaffee County;Lake County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.375,39.0 ], [ -106.375,39.125 ], [ -106.25,39.125 ], [ -106.25,39.0 ], [ -106.375,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53aa8fd1e4b065055fab1657","contributors":{"authors":[{"text":"Shroba, Ralph R. 0000-0002-2664-1813 rshroba@usgs.gov","orcid":"https://orcid.org/0000-0002-2664-1813","contributorId":1266,"corporation":false,"usgs":true,"family":"Shroba","given":"Ralph","email":"rshroba@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":492242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellogg, Karl S.","contributorId":89896,"corporation":false,"usgs":true,"family":"Kellogg","given":"Karl S.","affiliations":[],"preferred":false,"id":492244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":492243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70103858,"text":"sir20135074 - 2014 - Water quality at a biosolids-application area near Deer Trail, Colorado, 1993-1999","interactions":[],"lastModifiedDate":"2014-06-23T08:33:13","indexId":"sir20135074","displayToPublicDate":"2014-06-23T08:23:00","publicationYear":"2014","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":"2013-5074","title":"Water quality at a biosolids-application area near Deer Trail, Colorado, 1993-1999","docAbstract":"The Metro Wastewater Reclamation District (Metro District) in Denver, Colo., applied biosolids resulting from municipal sewage treatment to farmland in eastern Colorado beginning in December 1993. In mid-1993, the U.S. Geological Survey in cooperation with the Metro District began monitoring water quality at the biosolids-application area about 10 miles east of Deer Trail, Colo., to evaluate baseline water quality and the combined effects of natural processes, land uses, and biosolids applications on water quality of the biosolids application area. Water quality was characterized by baseline and post-biosolids-application sampling for selected inorganic and bacteriological constituents during 1993 through 1998, with some additional specialized sampling in 1999. The study included limited sampling of surface water and the unsaturated zone, but primarily focused on groundwater. See report for complete abstract.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135074","collaboration":"Prepared in cooperation with the Metro Wastewater Reclamation District","usgsCitation":"Yager, T., 2014, Water quality at a biosolids-application area near Deer Trail, Colorado, 1993-1999: U.S. Geological Survey Scientific Investigations Report 2013-5074, vi, 124 p., https://doi.org/10.3133/sir20135074.","productDescription":"vi, 124 p.","numberOfPages":"134","onlineOnly":"Y","temporalStart":"1993-01-01","temporalEnd":"1999-12-31","ipdsId":"IP-037484","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":288992,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5074/pdf/sir2013-5074.pdf"},{"id":288991,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5074/"},{"id":288993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135074.jpg"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.3616,38.6018 ], [ -105.3616,40.5054 ], [ -103.0023,40.5054 ], [ -103.0023,38.6018 ], [ -105.3616,38.6018 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53a93e53e4b0f1f8e2fa8656","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":493506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70098933,"text":"ofr20141061 - 2014 - Particle-tracking investigation of the retention of sucker larvae emerging from spawning grounds in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2014-06-19T13:11:03","indexId":"ofr20141061","displayToPublicDate":"2014-06-19T12:56:00","publicationYear":"2014","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":"2014-1061","title":"Particle-tracking investigation of the retention of sucker larvae emerging from spawning grounds in Upper Klamath Lake, Oregon","docAbstract":"This study had two objectives: (1) to use the results of an individual-based particle-tracking model of larval sucker dispersal through the Williamson River delta and Upper Klamath Lake, Oregon, to interpret field data collected throughout Upper Klamath and Agency Lakes, and (2) to use the model to investigate the retention of sucker larvae in the system as a function of Williamson River flow, wind, and lake elevation. This is a follow-up study to work reported in Wood and others (2014) in which the hydrodynamic model of Upper Klamath Lake was combined with an individual-based, particle-tracking model of larval fish entering the lake from spawning areas in the Williamson River. In the previous study, the performance of the model was evaluated through comparison with field data comprising larval sucker distribution collected in 2009 by The Nature Conservancy, Oregon State University (OSU), and the U.S. Geological Survey, primarily from the (at that time) recently reconnected Williamson River Delta and along the eastern shoreline of Upper Klamath Lake, surrounding the old river mouth. The previous study demonstrated that the validation of the model with field data was moderately successful and that the model was useful for describing the broad patterns of larval dispersal from the river, at least in the areas surrounding the river channel immediately downstream of the spawning areas and along the shoreline where larvae enter the lake.
\nIn this study, field data collected by OSU throughout the main body of Upper Klamath Lake, and not just around the Williamson River Delta, were compared to model simulation results. Because the field data were collected throughout the lake, it was necessary to include in the simulations larvae spawned at eastern shoreline springs that were not included in the earlier studies. A complicating factor was that the OSU collected data throughout the main body of the lake in 2011 and 2012, after the end of several years of larval drift collection in the Williamson River by the U.S. Geological Survey. Those larval drift data provided necessary boundary-condition information for the earlier studies, but there were no measured boundary conditions for larval input into model simulations during the years of this study (2011−12). Therefore, we developed a method to estimate a time series of larval drift in the Williamson River, and of the emergence of larvae from the gravel at the eastern shoreline springs, that captured the approximate timing of the larval pulse of the Lost River sucker (Deltistes luxatus) and shortnose sucker (Chasmistes brevirostris) and the relative magnitude of the pulses by species and spawning location. The method is not able to predict larval drift on any given day, but it can reasonably predict the approximate temporal progression of the larval drift through the season, based on counts of adult suckers returning to spawn. The accuracy in the timing of the larval pulses is not better than about plus or minus 5 days.
\nModel results and field data were consistent in the basic progression of both catch per unit effort (CPUE) and larval length through time. The model simulation results also duplicated some of the characteristics of the spatial patterns of density in the field data, notably the tendency for high larval densities closer to the eastern and western shorelines. However, the model simulations could not explain high densities in the northern part of the lake or far into Ball Bay, locations that are far from the source of larvae in the Williamson River or eastern shoreline springs (as measured along the predominant transport pathways simulated in the model). This suggests the possibility of unaccounted-for spawning areas in the northern part of the lake and also that the period during which larvae are transported passively by the currents is shorter than the 46 days simulated in the model. Similarly, the progression of larval lengths in the field data is not a simple progression from smaller to larger fish away from sources in the river and springs, as simulated by the particle-tracking model; the smallest fish were caught at different times near the Williamson River, in the northwestern part of the lake, and in the southernmost part of the lake. This again suggests that fish may be spawning at places other than the river and eastern springs, that our understanding of larval transport is incomplete, or both.
\nThe model was used to run 96 numerical “experiments” in which lake elevation, river discharge, and wind forcing were varied systematically in order to investigate the sensitivity of particle retention to each variable, and with particular emphasis on the idea of managing lake elevation to control emigration. The estimates of particle retention cannot be equated directly to retention of fish larvae, primarily because there was no mortality included in the simulations, but the relative comparison of retention and emigration around the matrix of experimental conditions provided several “big picture” results:
\n - Variables that cannot be controlled—winds and discharge—had the largest effect on retention. For example, at the lowest river discharge (20 cubic meters per second), simulated retention was high regardless of wind or lake elevation, whereas at the highest river discharge (100 cubic meters per second), retention was low regardless of wind or lake elevation.
\n - When river discharge and wind were held constant, a higher elevation delayed the onset of the most rapid exit of particles by 1 (from the springs) to 4 (from the river) days, but did not determine overall retention. Only under the combination of conditions consisting of low discharge (50 cubic meters per second or less) and strong wind reversals for several days was there a consistent effect of lake elevation on overall retention several weeks into the simulation, and, under those conditions, retention was at the high end of the possible range regardless of lake elevation.
\n - Under most combinations of conditions tested, after particles had been in the system for several days, the complex interaction between wind, elevation, and river discharge resulted in particle pathways, and therefore retention, being highly variable and unpredictable, at which point controlling lake elevation could not produce a predictable result. Therefore, on the basis of the model predictions, managing lake elevation probably is not a way to reliably provide any particular level of retention.