Geophysical (CHIRP, boomer, and continuous direct-current resistivity) and geochemical tracer studies (continuous and time-series 222Radon) were conducted along the Broward County coast from Port Everglades to Hillsboro Inlet, Florida. Simultaneous seismic, direct-current resistivity, and radon surveys in the coastal waters provided information to characterize the geologic framework and identify potential groundwater-discharge sites. Time-series radon at the Nova Southeastern University National Coral Reef Institute (NSU/NCRI) seawall indicated a very strong tidally modulated discharge of ground water with 222Rn activities ranging from 4 to 10 disintegrations per minute per liter depending on tidal stage. CHIRP seismic data provided very detailed bottom profiles (i.e., bathymetry); however, acoustic penetration was poor and resulted in no observed subsurface geologic structure. Boomer data, on the other hand, showed features that are indicative of karst, antecedent topography (buried reefs), and sand-filled troughs. Continuous resistivity profiling (CRP) data showed slight variability in the subsurface along the coast. Subtle changes in subsurface resistivity between nearshore (higher values) and offshore (lower values) profiles may indicate either a freshening of subsurface water nearshore or a change in sediment porosity or lithology. Further lithologic and hydrologic controls from sediment or rock cores or well data are needed to constrain the variability in CRP data.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081364","usgsCitation":"Reich, C.D., Swarzenski, P.W., Greenwood, W.J., and Wiese, D.S., 2009, Investigation of coastal hydrogeology utilizing geophysical and geochemical tools along the Broward County coast, Florida: U.S. Geological Survey Open-File Report 2008-1364, Report: v, 21 p.; 3 Appendixes, https://doi.org/10.3133/ofr20081364.","productDescription":"Report: v, 21 p.; 3 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":12312,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1364/","linkFileType":{"id":5,"text":"html"}},{"id":388198,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86340.htm"},{"id":198107,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.14114379882812,\n 25.96792222903405\n ],\n [\n -79.969482421875,\n 25.96792222903405\n ],\n [\n -79.969482421875,\n 26.295877391487554\n ],\n [\n -80.14114379882812,\n 26.295877391487554\n ],\n [\n -80.14114379882812,\n 25.96792222903405\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530d58","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, W. Jason","contributorId":40315,"corporation":false,"usgs":true,"family":"Greenwood","given":"W.","email":"","middleInitial":"Jason","affiliations":[],"preferred":false,"id":301526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301525,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97259,"text":"ofr20091019 - 2009 - Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"ofr20091019","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1019","title":"Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2008","docAbstract":"A study to estimate the effects of Iron Gate Dam discharge on ESA-listed juvenile coho salmon during their seaward migration to the ocean was begun in 2005. Estimates of survival through various reaches of river downstream from the dam were completed in 2006, 2007, and 2008 as part of this process. This report describes the estimates of survival during 2008, and is a complement to similar reports from 2006 and 2007. In each year, a series of models were evaluated to determine apparent survival and recapture probabilities of radio-tagged fish in several river reaches between Iron Gate Hatchery at river kilometer 309 and a site at river kilometer 33. These results indicate most trends in survival among reaches were similar to those from 2006 and 2007, but the magnitudes of the estimated survivals were lower in 2008. The differences in survivals from Iron Gate Hatchery to river kilometer 33 in 2006 (0.653 SE 0.039), 2007 (0.497 SE 0.044), and 2008 (0.406 SE 0.032) were caused primarily by differences in survival upstream from the Scott River. This report is intended as a brief description of the survivals estimated from the fish released in 2008 to be used by others interested in the data.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091019","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Beeman, J.W., Juhnke, S., and Hansel, H.C., 2009, Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2008: U.S. Geological Survey Open-File Report 2009-1019, iv, 7 p., https://doi.org/10.3133/ofr20091019.","productDescription":"iv, 7 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":197814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12309,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1019/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a7f6a","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":301517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juhnke, Steven","contributorId":43465,"corporation":false,"usgs":true,"family":"Juhnke","given":"Steven","affiliations":[],"preferred":false,"id":301519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":301518,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97265,"text":"pp1760A - 2009 - Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","interactions":[{"subject":{"id":97265,"text":"pp1760A - 2009 - Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","indexId":"pp1760A","publicationYear":"2009","noYear":false,"chapter":"A","title":"Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area"},"predicate":"IS_PART_OF","object":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"id":1}],"isPartOf":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"lastModifiedDate":"2022-01-25T22:38:57.419672","indexId":"pp1760A","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","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":"1760","chapter":"A","title":"Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","docAbstract":"We present here the initial results of a petrographic, geochemical, and isotopic study of Mesozoic intrusive rocks and spatially associated Zn-Pb-Ag-Cu-Au prospects in the Fortymile mining district in the southern Eagle quadrangle, Alaska. Analyzed samples include mineralized and unmineralized drill core from 2006 and 2007 exploration by Full Metal Minerals, USA, Inc., at the Little Whiteman (LWM) and Fish prospects, and other mineralized and plutonic samples collected within the mining district is part of the USGS study. Three new ion microprobe U-Pb zircon ages are: 210 ± 3 Ma for quartz diorite from LWM, 187 ± 3 Ma for quartz monzonite from Fish, and 70.5 ± 1.1 Ma for altered rhyolite porphyry from Fish. We also present 11 published and unpublished Mesozoic thermal ionization mass spectrometric U-Pb zircon and titanite ages and whole-rock geochemical data for the Mesozoic plutonic rocks. Late Triassic and Early Jurassic plutons generally have intermediate compositions and are slightly foliated, consistent with synkinematic intrusion. Several Early Jurassic plutons contain magmatic epidote, indicating emplacement of the host plutons at mesozonal crustal depths of greater than 15 km. Trace-element geochemical data indicate an arc origin for the granitoids, with an increase in the crustal component with time.
Preliminary study of drill core from the LWM Zn-Pb-Cu-Ag prospect supports a carbonate-replacement model of mineralization. LWM massive sulfides consist of sphalerite, galena, and minor pyrite and chalcopyrite, in a gangue of calcite and lesser quartz; silver resides in Sb-As-Ag sulfosalts and pyrargyrite, and probably in submicroscopic inclusions within galena. Whole-rock analyses of LWM drill cores also show elevated In, an important metal in high-technology products. Hypogene mineralized rocks at Fish, below the secondary Zn-rich zone, are associated with a carbonate host and also may be of replacement origin, or alternatively, may be a magnetite-bearing Zn skarn. Cu-Zn-Pb-Ag-Au showings at the Oscar pros-pect occur in marble-hosted magnetite and pyrrhotite skarn that is spatially related to the stocks, dikes, and sills of the Early Jurassic syenite of Mount Veta. Mineralized rocks at the Eva Creek Ag-Zn-Pb-Cu prospect are within 1.5 km of the Mount Veta pluton, which is epidotized and locally altered along its contact with metamorphosed country rock east of the prospect.
We report five new sulfide Pb-isotopic analyses from the LWM, Oscar, and Eva Creek prospects and compare these sulfide Pb-isotopic ratios with those for sulfides from nearby deposits and prospects in the Yukon-Tanana Upland and with feldspar Pb-isotopic ratios for Mesozoic plutons in the region. Disparities between the Pb-isotopic ratios for sulfides and igneous feldspars are consistent with a carbonate-replacement model for both the LWM and Eva Creek prospects. The presence in the Fortymile district of base-metal sulfides within both calc-silicate-rich skarns and the calc-silicate-free carbonate replacement deposits may reflect multistage mineralization by magmatic-hydrothermal systems during the emplacement of two or more magmatically unrelated igneous intrusions. Alternatively, all of the mineralized occurrences could be products of one regionally zoned system that formed during the intrusion of a single pluton. In addition to the likely origin of some of the base-metal occurrences by intrusion-related hydrothermal fluids, proximity of the LWM prospect to the northeast-striking, high-angle Kechumstuk Fault suggests that fluid flow along the fault also played an important role during carbonate-replacement mineralization.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2007","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1760A","usgsCitation":"Dusel-Bacon, C., Slack, J.F., Aleinikoff, J.N., and Mortensen, J.K., 2009, Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area (Version 1.0): U.S. Geological Survey Professional Paper 1760, iv, 42 p., https://doi.org/10.3133/pp1760A.","productDescription":"iv, 42 p.","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":195554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1760a.jpg"},{"id":394851,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86348.htm"},{"id":12316,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1760/a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Veta area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144,\n 64\n ],\n [\n -140.5333,\n 64\n ],\n [\n -140.5333,\n 64.75\n ],\n [\n -144,\n 64.75\n ],\n [\n -144,\n 64\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624f94","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":301530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mortensen, James K.","contributorId":96794,"corporation":false,"usgs":true,"family":"Mortensen","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":301533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97267,"text":"ofr20091013 - 2009 - U.S. Geological Survey Global Seismographic Network - Five-Year Plan 2006-2010","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"ofr20091013","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1013","title":"U.S. Geological Survey Global Seismographic Network - Five-Year Plan 2006-2010","docAbstract":"The Global Seismographic Network provides data for earthquake alerting, tsunami warning, nuclear treaty verification, and Earth science research. The system consists of nearly 150 permanent digital stations, distributed across the globe, connected by a modern telecommunications network. It serves as a multi-use scientific facility and societal resource for monitoring, research, and education, by providing nearly uniform, worldwide monitoring of the Earth. The network was developed and is operated through a partnership among the National Science Foundation (http://www.nsf.gov), the Incorporated Research Institutions for Seismology (http://www.iris.edu/hq/programs/gsn), and the U.S. Geological Survey (http://earthquake.usgs.gov/gsn).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091013","usgsCitation":"Leith, W.S., Gee, L., and Hutt, C.R., 2009, U.S. Geological Survey Global Seismographic Network - Five-Year Plan 2006-2010 (Revised Feb 12, 2009): U.S. Geological Survey Open-File Report 2009-1013, v, 27 p., https://doi.org/10.3133/ofr20091013.","productDescription":"v, 27 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195340,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1013/","linkFileType":{"id":5,"text":"html"}}],"edition":"Revised Feb 12, 2009","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a8b","contributors":{"authors":[{"text":"Leith, William S. 0000-0002-3463-3119 wleith@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-3119","contributorId":2248,"corporation":false,"usgs":true,"family":"Leith","given":"William","email":"wleith@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":301538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":2247,"corporation":false,"usgs":true,"family":"Gee","given":"Lind S.","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":301537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":301536,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046857,"text":"70046857 - 2009 - Cenozoic stratigraphy of the Sahara, Northern Africa","interactions":[],"lastModifiedDate":"2018-03-23T12:13:31","indexId":"70046857","displayToPublicDate":"2009-02-01T16:21:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Cenozoic stratigraphy of the Sahara, Northern Africa","docAbstract":"This paper presents an overview of the Cenozoic stratigraphic record in the Sahara, and shows that the strata display some remarkably similar characteristics across much of the region. In fact, some lithologies of certain ages are exceptionally widespread and persistent, and many of the changes from one lithology to another appear to have been relatively synchronous across the Sahara. The general stratigraphic succession is that of a transition from early Cenozoic carbonate strata to late Cenozoic siliciclastic strata. This transition in lithology coincides with a long-term eustatic fall in sea level since the middle Cretaceous and with a global climate transition from a Late Cretaceous–Early Eocene “warm mode” to a Late Eocene–Quaternary “cool mode”. Much of the shorter-term stratigraphic variability in the Sahara (and even the regional unconformities) also can be correlated with specific changes in sea level, climate, and tectonic activity during the Cenozoic. Specifically, Paleocene and Eocene carbonate strata and phosphate are suggestive of a warm and humid climate, whereas latest Eocene evaporitic strata (and an end-Eocene regional unconformity) are correlated with a eustatic fall in sea level, the build-up of ice in Antarctica, and the appearance of relatively arid climates in the Sahara. The absence of Oligocene strata throughout much of the Sahara is attributed to the effects of generally low eustatic sea level during the Oligocene and tectonic uplift in certain areas during the Late Eocene and Oligocene. Miocene sandstone and conglomerate are attributed to the effects of continued tectonic uplift around the Sahara, generally low eustatic sea level, and enough rainfall to support the development of extensive fluvial systems. Middle–Upper Miocene carbonate strata accumulated in northern Libya in response to a eustatic rise in sea level, whereas Upper Miocene mudstone accumulated along the south side of the Atlas Mountains because uplift of the mountains blocked fluvial access to the Mediterranean Sea. Uppermost Miocene evaporites (and an end-Miocene regional unconformity) in the northern Sahara are correlated with the Messinian desiccation of the Mediterranean Sea. Abundant and widespread Pliocene paleosols are attributed to the onset of relatively arid climate conditions and (or) greater variability of climate conditions, and the appearance of persistent and widespread eolian sediments in the Sahara is coincident with the major glaciation in the northern hemisphere during the Pliocene.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2008.08.001","usgsCitation":"Swezey, C., 2009, Cenozoic stratigraphy of the Sahara, Northern Africa: Journal of African Earth Sciences, v. 53, no. 3, p. 89-121, https://doi.org/10.1016/j.jafrearsci.2008.08.001.","productDescription":"33 p.","startPage":"89","endPage":"121","ipdsId":"IP-005682","costCenters":[{"id":457,"text":"Native American Tribal Relations","active":false,"usgs":true}],"links":[{"id":274725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274724,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jafrearsci.2008.08.001"}],"otherGeospatial":"Sahara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -18.720703125,\n -5.0909441750333855\n ],\n [\n 52.470703125,\n -5.0909441750333855\n ],\n [\n 52.470703125,\n 37.64903402157866\n ],\n [\n -18.720703125,\n 37.64903402157866\n ],\n [\n -18.720703125,\n -5.0909441750333855\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf68e4b0f81004b77ce4","contributors":{"authors":[{"text":"Swezey, Christopher S.","contributorId":52640,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher S.","affiliations":[],"preferred":false,"id":480477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70043426,"text":"70043426 - 2009 - Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems","interactions":[],"lastModifiedDate":"2013-02-14T14:03:04","indexId":"70043426","displayToPublicDate":"2009-02-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems","docAbstract":"In serial reuse systems, excretion of metabolic carbon dioxide has a significant impact on ambient pH, carbon dioxide, and un-ionized ammonia concentrations. This impact depends strongly on alkalinity, water flow rate, feeding rate, and loss of carbon dioxide to the atmosphere. A reduction in pH from metabolic carbon dioxide can significantly reduce the un-ionized ammonia concentration and increase the carbon dioxide concentrations compared to those parameters computed from influent pH. The ability to accurately predict pH in serial reuse systems is critical to their design and effective operation.\n\nA trial and error solution to the alkalinity–pH system was used to estimate important water quality parameters in serial reuse systems. Transfer of oxygen and carbon dioxide across the air–water interface, at overflow weirs, and impacts of substrate-attached algae and suspended bacteria were modeled. Gas transfer at the weirs was much greater than transfer across the air–water boundary.\n\nThis simulation model can rapidly estimate influent and effluent concentrations of dissolved oxygen, carbon dioxide, and un-ionized ammonia as a function of water temperature, elevation, water flow, and weir type. The accuracy of the estimates strongly depends on assumed pollutional loading rates and gas transfer at the weirs. The current simulation model is based on mean daily loading rates; the impacts of daily variation loading rates are discussed. Copies of the source code and executable program are available free of charge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.aquaeng.2008.10.004","usgsCitation":"Watten, B.J., Rust, M., and Colt, J., 2009, Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems: Aquacultural Engineering, v. 40, no. 1, p. 28-44, https://doi.org/10.1016/j.aquaeng.2008.10.004.","startPage":"28","endPage":"44","ipdsId":"IP-011562","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":267411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267410,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2008.10.004"}],"country":"United States","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e1592e4b071e86a19a47b","contributors":{"authors":[{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rust, Michael","contributorId":65741,"corporation":false,"usgs":true,"family":"Rust","given":"Michael","email":"","affiliations":[],"preferred":false,"id":473562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colt, John","contributorId":63695,"corporation":false,"usgs":true,"family":"Colt","given":"John","email":"","affiliations":[],"preferred":false,"id":473561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97255,"text":"sir20085200 - 2009 - Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sir20085200","displayToPublicDate":"2009-01-31T00:00:00","publicationYear":"2009","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":"2008-5200","title":"Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico","docAbstract":"Ground-water samples were collected from 56 locations throughout the Espanola Basin and analyzed for general chemistry (major ions and trace elements), carbon isotopes (delta 13C and 14C activity) in dissolved inorganic carbon, noble gases (He, Ne, Ar, Kr, Xe, and 3He/4He ratio), and tritium. Temperature profiles were measured at six locations in the southeastern part of the basin. Temperature profiles suggest that ground water generally becomes warmer with distance from the mountains and that most ground-water flow occurs at depths <250 m below ground surface. The two dominant water types in the basin are Ca/CO3+HCO3 and Na/CO3+HCO3, followed by mixed-cation/CO3+HCO3. Waters generally evolve from Ca/CO3+HCO3 to Na/CO3+HCO3 with increasing residence time through Ca-Na cation exchange with clay minerals. Basin ground water can be divided into four hydrochemical zones based on chemical and isotopic composition: West, Southeast, Northeast, and Central Deep. Hydrochemical zone boundaries are roughly correlated with contacts between geologic units or lithosome transitions within the Tesuque Formation.\r\nGeochemical mass-transfer modeling was performed using NETPATH and 14C ages were adjusted accordingly. Isotopic input parameters were varied within reasonable limits to assess uncertainty in the adjusted 14C ages. For each sample, a preferred adjusted age was selected from multiple possible adjusted ages based primarily on the fit between measured and modeled delta 13C values. The range of possible age adjustments for most samples is about 6,000 years or less, indicating that the preferred adjusted age for most samples has a total range of uncertainty of <6,000 years. Preferred adjusted ages range from 0 to 35,400 years. First-order trends in the age distribution include older ages generally occurring farther from rivers on the east side of the basin and farther from the mountains, consistent with both mountain-front recharge and recharge on the basin floor in the form of stream-loss and arroyo recharge. Ages also increase with depth in the Southeast zone, the only area where discrete-depth samples could be collected.\r\nRecharge temperatures derived from noble gas concentrations were used in conjunction with an empirically derived local relationship between recharge temperature and elevation to constrain recharge elevation and to estimate fractions of mountain-block recharge (MBR) in sampled waters of Holocene age. Noble gas recharge temperatures indicate that ground water in the Southeast zone contains a significant fraction of MBR, commonly 20-50 percent or more. The same is apparently true for the Northeast zone, though only two data points could be used to evaluate the MBR fraction in this area. Recharge temperatures indicate that the upper 30 m of the regional aquifer on the Pajarito Plateau typically contain little or no MBR.\r\nTritium concentrations and apparent 3H/3He ages indicate that water in the mountain block is dominantly <50 years old, and water in the basin-fill is dominantly >50 years old, consistent with the 14C ages. Terrigenic He (Heterr) concentrations in ground water are high (log Delta Heterr of 2 to 5) throughout much of the basin. High Heterr concentrations are probably caused by in situ production in the Tesuque Formation from locally high concentrations of U-bearing minerals (Northeast zone only), or by upward diffusive/advective transport of crustal- and mantle-sourced He possibly enhanced by basement piercing faults, or by both. The 3He/4He ratio of Heterr (Rterr) is commonly high (Rterr/Ra of 0.3-2.0, where Ra is the 3He/4He ratio in air) suggesting that Espanola Basin ground water commonly contains mantle-sourced He. The 3He/4He ratio of Heterr is generally the highest in the western and southern parts of the basin, closest to the western border fault system and the Quaternary to Miocene volcanics of the Jemez Mountains and Cerros del Rio.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085200","collaboration":"Prepared in cooperation with Los Alamos National Laboratory and the City of Santa Fe, New Mexico","usgsCitation":"Manning, A.H., 2009, Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico: U.S. Geological Survey Scientific Investigations Report 2008-5200, vi, 69 p., https://doi.org/10.3133/sir20085200.","productDescription":"vi, 69 p.","onlineOnly":"Y","costCenters":[{"id":213,"text":"Crustal Imaging and Characterization Team","active":false,"usgs":true}],"links":[{"id":196300,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12304,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5200/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110,31 ], [ -110,40 ], [ -101,40 ], [ -101,31 ], [ -110,31 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d493","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301508,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97246,"text":"sir20085226 - 2009 - Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia","interactions":[],"lastModifiedDate":"2017-01-17T10:11:44","indexId":"sir20085226","displayToPublicDate":"2009-01-28T00:00:00","publicationYear":"2009","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":"2008-5226","title":"Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia","docAbstract":"A study of the Currituck Sound was initiated in 2005 to evaluate the water chemistry of the Sound and assess the effectiveness of management strategies. As part of this study, the Soil and Water Assessment Tool (SWAT) model was used to simulate current sediment and nutrient loadings for two distinct watersheds in the Currituck Sound basin and to determine the consequences of different water-quality management scenarios. The watersheds studied were (1) Tull Creek watershed, which has extensive row-crop cultivation and artificial drainage, and (2) West Neck Creek watershed, which drains urban areas in and around Virginia Beach, Virginia.\r\n\r\nThe model simulated monthly streamflows with Nash-Sutcliffe model efficiency coefficients of 0.83 and 0.76 for Tull Creek and West Neck Creek, respectively. The daily sediment concentration coefficient of determination was 0.19 for Tull Creek and 0.36 for West Neck Creek. The coefficient of determination for total nitrogen was 0.26 for both watersheds and for dissolved phosphorus was 0.4 for Tull Creek and 0.03 for West Neck Creek.\r\n\r\nThe model was used to estimate current (2006-2007) sediment and nutrient yields for the two watersheds. Total suspended-solids yield was 56 percent lower in the urban watershed than in the agricultural watershed. Total nitrogen export was 45 percent lower, and total phosphorus was 43 percent lower in the urban watershed than in the agricultural watershed. A management scenario with filter strips bordering the main channels was simulated for Tull Creek. The Soil and Water Assessment Tool model estimated a total suspended-solids yield reduction of 54 percent and total nitrogen and total phosphorus reductions of 21 percent and 29 percent, respectively, for the Tull Creek watershed.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085226","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Water Resources","usgsCitation":"Garcia, A., 2009, Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia: U.S. Geological Survey Scientific Investigations Report 2008-5226, vi, 23 p., https://doi.org/10.3133/sir20085226.","productDescription":"vi, 23 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":124590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5226.jpg"},{"id":12297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5226/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Currituck Sound Basin, Tull Creek, West Neck Creek Watersheds","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,36 ], [ -76.5,37 ], [ -75.5,37 ], [ -75.5,36 ], [ -76.5,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bead","contributors":{"authors":[{"text":"Garcia, Ana Maria 0000-0002-5388-1281","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":44634,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301478,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208037,"text":"70208037 - 2009 - A marine biogeochemical perspective on black shale deposition","interactions":[],"lastModifiedDate":"2020-01-24T15:28:13","indexId":"70208037","displayToPublicDate":"2009-01-24T15:18:47","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A marine biogeochemical perspective on black shale deposition","docAbstract":"Deposition of marine black shales has commonly been interpreted as having involved a high level of marine phytoplankton production that promoted high settling rates of organic matter through the water column and high burial fluxes on the seafloor or anoxic (sulfidic) water-column conditions that led to high levels of preservation of deposited organic matter, or a combination of the two processes. Here we review the hydrography and the budgets of trace metals and phytoplankton nutrients in two modern marine basins that have permanently anoxic bottom waters. This information is then used to hindcast the hydrography and biogeochemical conditions of deposition of a black shale of Late Jurassic age (the Kimmeridge Clay Formation, Yorkshire, England) from its trace metal and organic carbon content. Comparison of the modern and Jurassic sediment compositions reveals that the rate of photic zone primary productivity in the Kimmeridge Sea, based on the accumulation rate of the marine fraction of Ni, was as high as 840 g organic carbon m− 2 yr−1. This high level was possibly tied to the maximum rise of sea level during the Late Jurassic that flooded this and other continents sufficiently to allow major open-ocean boundary currents to penetrate into epeiric seas. Sites of intense upwelling of nutrient-enriched seawater would have been transferred from the continental margins, their present location, onto the continents. This global flooding event was likely responsible for deposition of organic matter-enriched sediments in other marine basins of this age, several of which today host major petroleum source rocks.
Bottom-water redox conditions in the Kimmeridge Sea, deduced from the V:Mo ratio in the marine fraction of the Kimmeridge Clay Formation, varied from oxic to anoxic, but were predominantly suboxic, or denitrifying. A high settling flux of organic matter, a result of the high primary productivity, supported a high rate of bacterial respiration that led to the depletion of O2 in the bottom water. A high rate of burial of labile organic matter, albeit a low percentage of primary productivity, in turn promoted anoxic conditions in the sediment pore waters that enhanced retention of trace metals deposited from the water column.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2009.03.001","usgsCitation":"Piper, D.Z., and Calvert, S., 2009, A marine biogeochemical perspective on black shale deposition: Earth-Science Reviews, v. 95, no. 1-2, p. 63-96, https://doi.org/10.1016/j.earscirev.2009.03.001.","productDescription":"34 p.","startPage":"63","endPage":"96","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":371528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Europe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -7.91015625,\n 47.635783590864854\n ],\n [\n 6.85546875,\n 47.635783590864854\n ],\n [\n 6.85546875,\n 59.712097173322924\n ],\n [\n -7.91015625,\n 59.712097173322924\n ],\n [\n -7.91015625,\n 47.635783590864854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":780243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, S.E.","contributorId":12196,"corporation":false,"usgs":true,"family":"Calvert","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":780244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97228,"text":"sir20085197 - 2009 - Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005","interactions":[],"lastModifiedDate":"2017-01-25T11:58:42","indexId":"sir20085197","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5197","title":"Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005","docAbstract":"The ground-water resources of northern Utah Valley, Utah, were assessed during 2003-05 to describe and quantify components of the hydrologic system, determine a hydrologic budget for the basin-fill aquifer, and evaluate changes to the system relative to previous studies. Northern Utah Valley is a horst and graben structure with ground water occurring in both the mountain-block uplands surrounding the valley and in the unconsolidated basin-fill sediments. The principal aquifer in northern Utah Valley occurs in the unconsolidated basin-fill deposits where a deeper unconfined aquifer occurs near the mountain front and laterally grades into multiple confined aquifers near the center of the valley.\r\n\r\nSources of water to the basin-fill aquifers occur predominantly as either infiltration of streamflow at or near the interface of the mountain front and valley or as subsurface inflow from the adjacent mountain blocks. Sources of water to the basin-fill aquifers were estimated to average 153,000 (+/- 31,500) acre-feet annually during 1975-2004 with subsurface inflow and infiltration of streamflow being the predominant sources. Discharge from the basin-fill aquifers occurs in the valley lowlands as flow to waterways, drains, ditches, springs, as diffuse seepage, and as discharge from flowing and pumping wells. Ground-water discharge from the basin-fill aquifers during 1975-2004 was estimated to average 166,700 (+/- 25,900) acre-feet/year where discharge to wells for consumptive use and discharge to waterways, drains, ditches, and springs were the principal sources.\r\n\r\nMeasured water levels in wells in northern Utah Valley declined an average of 22 feet from 1981 to 2004. Water-level declines are consistent with a severe regional drought beginning in 1999 and continuing through 2004. Water samples were collected from 36 wells and springs throughout the study area along expected flowpaths. Water samples collected from 34 wells were analyzed for dissolved major ions, nutrients, and stable isotopes of hydrogen and oxygen. Water samples from all 36 wells were analyzed for dissolved-gas concentration including noble gases and tritium/helium-3. Within the basin fill, dissolved-solids concentration generally increases with distance along flowpaths from recharge areas, and shallower flowpaths tend to have higher concentrations than deeper flowpaths. Nitrate concentrations generally are at or below natural background levels. Dissolved-gas recharge temperature data support the conceptual model of the basin-fill aquifers and highlight complexities of recharge patterns in different parts of the valley. Dissolved-gas data indicate that the highest elevation recharge sources for the basin-fill aquifer are subsurface inflow derived from recharge in the adjacent mountain block between the mouths of American Fork and Provo Canyons. Apparent ground-water ages in the basin-fill aquifer, as calculated using tritium/helium-3 data, range from 2 to more than 50 years. The youngest waters in the valley occur near the mountain fronts with apparent ages generally increasing near the valley lowlands and discharge area around Utah Lake.\r\n\r\nFlowpaths are controlled by aquifer properties and the location of the predominant recharge sources, including subsurface inflow and recharge along the mountain front. Subsurface inflow is distributed over a larger area across the interface of the subsurface mountain block and basin-fill deposits. Subsurface inflow occurs at a depth deeper than that at which mountain-front recharge occurs. Recharge along the mountain front is often localized and focused over areas where streams and creeks enter the valley, and recharge is enhanced by the associated irrigation canals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085197","collaboration":"Prepared in cooperation with Central Utah Water Conservancy District; Jordan Valley Water Conservancy District representing Draper City; Highland Water Company; Utah Department of Natural Resources, Division of Water Rights; and the municipalities of Alpine, American Fork, Cedar Hills, Eagle Mountain, Highland, Lehi, Lindon, Orem, Pleasant Grove, Provo, Saratoga Springs, and Vineyard","usgsCitation":"Cederberg, J.R., Gardner, P.M., and Thiros, S.A., 2009, Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005 (Version 2.0, Revised Feb 2009): U.S. Geological Survey Scientific Investigations Report 2008-5197, x, 114 p., https://doi.org/10.3133/sir20085197.","productDescription":"x, 114 p.","temporalStart":"1975-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":195791,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12278,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","county":"Utah County","otherGeospatial":"Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40 ], [ -112.25,40.583333333333336 ], [ -111.25,40.583333333333336 ], [ -111.25,40 ], [ -112.25,40 ] ] ] } } ] }","edition":"Version 2.0, Revised Feb 2009","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478fe4b07f02db48a36b","contributors":{"authors":[{"text":"Cederberg, Jay R. 0000-0001-6649-7353 cederber@usgs.gov","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":964,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","email":"cederber@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97234,"text":"ofr20091005 - 2009 - The Iron Hill (Powderhorn) carbonatite complex, Gunnison County, Colorado — A potential source of several uncommon mineral resources","interactions":[],"lastModifiedDate":"2022-06-27T19:03:23.292431","indexId":"ofr20091005","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1005","title":"The Iron Hill (Powderhorn) carbonatite complex, Gunnison County, Colorado — A potential source of several uncommon mineral resources","docAbstract":"A similar version of this slide show was presented on three occasions during 2008: two times to local chapters of the Society for Mining, Metallurgy, and Exploration (SME), as part of SME's Henry Krumb lecture series, and the third time at the Northwest Mining Association's 114th Annual Meeting, held December 1-5, 2008, in Sparks (Reno), Nevada.\r\n\r\nIn 2006, the U.S. Geological Survey (USGS) initiated a study of the diverse and uncommon mineral resources associated with carbonatites and associated alkaline igneous rocks. Most of these deposit types have not been studied by the USGS during the last 25 years, and many of these mineral resources have important applications in modern technology.\r\n\r\nThe author chose to begin this study at Iron Hill in southwestern Colorado because it is the site of a classic carbonatite complex, which is thought to host the largest known resources of titanium and niobium in the United States.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091005","usgsCitation":"Van Gosen, B.S., 2009, The Iron Hill (Powderhorn) carbonatite complex, Gunnison County, Colorado — A potential source of several uncommon mineral resources: U.S. Geological Survey Open-File Report 2009-1005, Report: 31 p.; Downloads Directory, https://doi.org/10.3133/ofr20091005.","productDescription":"Report: 31 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":402545,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86298.htm","linkFileType":{"id":5,"text":"html"}},{"id":195188,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12284,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1005/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","county":"Gunnison County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.9792,\n 38.1833\n ],\n [\n -107.1278,\n 38.1833\n ],\n [\n -107.1278,\n 38.3083\n ],\n [\n -106.9792,\n 38.3083\n ],\n [\n -106.9792,\n 38.1833\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c2bb","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":301443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97226,"text":"sir20085049 - 2009 - Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah","interactions":[],"lastModifiedDate":"2017-09-19T16:36:08","indexId":"sir20085049","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5049","title":"Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah","docAbstract":"A three-dimensional, finite-difference, numerical model was developed to simulate ground-water flow in northern Utah Valley, Utah. The model includes expanded areal boundaries as compared to a previous ground-water flow model of the valley and incorporates more than 20 years of additional hydrologic data. The model boundary was generally expanded to include the bedrock in the surrounding mountain block as far as the surface-water divide. New wells have been drilled in basin-fill deposits near the consolidated-rock boundary. Simulating the hydrologic conditions within the bedrock allows for improved simulation of the effect of withdrawal from these wells. The inclusion of bedrock also allowed for the use of a recharge model that provided an alternative method for spatially distributing areal recharge over the mountains.
The model was calibrated to steady- and transient-state conditions. The steady-state simulation was developed and calibrated by using hydrologic data that represented average conditions for 1947. The transient-state simulation was developed and calibrated by using hydrologic data collected from 1947 to 2004. Areally, the model grid is 79 rows by 70 columns, with variable cell size. Cells throughout most of the model domain represent 0.3 mile on each side. The largest cells are rectangular with dimensions of about 0.3 by 0.6 mile. The largest cells represent the mountain block on the eastern edge of the model domain where the least hydrologic data are available. Vertically, the aquifer system is divided into 4 layers which incorporate 11 hydrogeologic units. The model simulates recharge to the ground-water flow system as (1) infiltration of precipitation over the mountain block, (2) infiltration of precipitation over the valley floor, (3) infiltration of unconsumed irrigation water from fields, lawns, and gardens, (4) seepage from streams and canals, and (5) subsurface inflow from Cedar Valley. Discharge of ground water is simulated by the model to (1) flowing and pumping wells, (2) drains and springs, (3) evapotranspiration, (4) Utah Lake, (5) the Jordan River and mountain streams, and (6) Salt Lake Valley by subsurface outflow through the Jordan Narrows.
During steady-state calibration, variables were adjusted within probable ranges to minimize differences between model-computed and measured water levels as well as between model-computed and independently estimated flows that include: recharge by seepage from individual streams and canals, discharge by seepage to individual streams and the Jordan River, discharge to Utah Lake, discharge to drains and springs, discharge by evapotranspiration, and subsurface flows into and out of northern Utah Valley from Cedar Valley and to Salt Lake Valley, respectively. The transient-state simulation was calibrated to measured water levels and water-level changes with consideration given to annual changes in the flows listed above.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085049","collaboration":"Prepared in cooperation with Central Utah Water Conservancy District; Jordan Valley Water Conservancy District representing Draper City; Highland Water Company; Utah Department of Natural Resources, Division of Water Rights; and the municipalities of Alpine, American Fork, Cedar Hills, Eagle Mountain, Highland, Lehi, Lindon, Orem, Pleasant Grove, Provo, Saratoga Springs, and Vinyard","usgsCitation":"Gardner, P.M., 2009, Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah (Version 2.0 January 2011): U.S. Geological Survey Scientific Investigations Report 2008-5049, viii, 95 p., https://doi.org/10.3133/sir20085049.","productDescription":"viii, 95 p.","additionalOnlineFiles":"N","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":124653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5049.jpg"},{"id":12276,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5049/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","county":"Utah County","otherGeospatial":"Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40 ], [ -112.25,40.583333333333336 ], [ -111.25,40.583333333333336 ], [ -111.25,40 ], [ -112.25,40 ] ] ] } } ] }","edition":"Version 2.0 January 2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b910","contributors":{"authors":[{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301420,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97230,"text":"ofr20081027 - 2009 - Multiscale sagebrush rangeland habitat modeling in southwest Wyoming","interactions":[],"lastModifiedDate":"2018-03-08T13:02:15","indexId":"ofr20081027","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-1027","title":"Multiscale sagebrush rangeland habitat modeling in southwest Wyoming","docAbstract":"Sagebrush-steppe ecosystems in North America have experienced dramatic elimination and degradation since European settlement. As a result, sagebrush-steppe dependent species have experienced drastic range contractions and population declines. Coordinated ecosystem-wide research, integrated with monitoring and management activities, would improve the ability to maintain existing sagebrush habitats. However, current data only identify resource availability locally, with rigorous spatial tools and models that accurately model and map sagebrush habitats over large areas still unavailable. Here we report on an effort to produce a rigorous large-area sagebrush-habitat classification and inventory with statistically validated products and estimates of precision in the State of Wyoming. This research employs a combination of significant new tools, including (1) modeling sagebrush rangeland as a series of independent continuous field components that can be combined and customized by any user at multiple spatial scales; (2) collecting ground-measured plot data on 2.4-meter imagery in the same season the satellite imagery is acquired; (3) effective modeling of ground-measured data on 2.4-meter imagery to maximize subsequent extrapolation; (4) acquiring multiple seasons (spring, summer, and fall) of an additional two spatial scales of imagery (30 meter and 56 meter) for optimal large-area modeling; (5) using regression tree classification technology that optimizes data mining of multiple image dates, ratios, and bands with ancillary data to extrapolate ground training data to coarser resolution sensors; and (6) employing rigorous accuracy assessment of model predictions to enable users to understand the inherent uncertainties. First-phase results modeled eight rangeland components (four primary targets and four secondary targets) as continuous field predictions. The primary targets included percent bare ground, percent herbaceousness, percent shrub, and percent litter. The four secondary targets included percent sagebrush (Artemisia spp.), percent big sagebrush (Artemisia tridentata), percent Wyoming sagebrush (Artemisia tridentata wyomingensis), and sagebrush height (centimeters). Results were validated by an independent accuracy assessment with root mean square error (RMSE) values ranging from 6.38 percent for bare ground to 2.99 percent for sagebrush at the QuickBird scale and RMSE values ranging from 12.07 percent for bare ground to 6.34 percent for sagebrush at the full Landsat scale. Subsequent project phases are now in progress, with plans to deliver products that improve accuracies of existing components, model new components, complete models over larger areas, track changes over time (from 1988 to 2007), and ultimately model wildlife population trends against these changes. We believe these results offer significant improvement in sagebrush rangeland quantification at multiple scales and offer users products that have been rigorously validated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081027","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Homer, C.G., Aldridge, C.L., Meyer, D., Coan, M., and Bowen, Z.H., 2009, Multiscale sagebrush rangeland habitat modeling in southwest Wyoming: U.S. Geological Survey Open-File Report 2008-1027, iv, 14 p., https://doi.org/10.3133/ofr20081027.","productDescription":"iv, 14 p.","numberOfPages":"22","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":195036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20081027.jpg"},{"id":12280,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1027/","linkFileType":{"id":5,"text":"html"}},{"id":287126,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1027/pdf/ofr2008-1027.pdf"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,44.0 ], [ -112.0,44.5 ], [ -107.0,44.5 ], [ -107.0,44.0 ], [ -112.0,44.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4a43","contributors":{"authors":[{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":301434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":301432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Debra K. 0000-0002-8841-697X","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":72282,"corporation":false,"usgs":true,"family":"Meyer","given":"Debra K.","affiliations":[],"preferred":false,"id":301433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coan, Michael J.","contributorId":6762,"corporation":false,"usgs":true,"family":"Coan","given":"Michael J.","affiliations":[],"preferred":false,"id":301431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":301430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70073702,"text":"70073702 - 2009 - Illuminating Northern California’s Active Faults","interactions":[],"lastModifiedDate":"2014-01-21T16:30:26","indexId":"70073702","displayToPublicDate":"2009-01-21T16:09:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Illuminating Northern California’s Active Faults","docAbstract":"Newly acquired light detection and ranging (lidar) topographic data provide a powerful community resource for the study of landforms associated with the plate boundary faults of northern California (Figure 1). In the spring of 2007, GeoEarthScope, a component of the EarthScope Facility construction project funded by the U.S. National Science Foundation, acquired approximately 2000 square kilometers of airborne lidar topographic data along major active fault zones of northern California. These data are now freely available in point cloud (x, y, z coordinate data for every laser return), digital elevation model (DEM), and KMZ (zipped Keyhole Markup Language, for use in Google EarthTM and other similar software) formats through the GEON OpenTopography Portal (http://www.OpenTopography.org/data). Importantly, vegetation can be digitally removed from lidar data, producing high-resolution images (0.5- or 1.0-meter DEMs) of the ground surface beneath forested regions that reveal landforms typically obscured by vegetation canopy (Figure 2)","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009EO070002","usgsCitation":"Prentice, C.S., Crosby, C.J., Whitehill, C.S., Arrowsmith, J.R., Furlong, K.P., and Philips, D.A., 2009, Illuminating Northern California’s Active Faults: Eos, Transactions, American Geophysical Union, v. 90, no. 7, p. 55-55, https://doi.org/10.1029/2009EO070002.","productDescription":"1 p.","startPage":"55","endPage":"55","numberOfPages":"3","ipdsId":"IP-010042","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":476101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009eo070002","text":"Publisher Index Page"},{"id":281357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009EO070002"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.52,36.26 ], [ -124.52,43.31 ], [ -121.16,43.31 ], [ -121.16,36.26 ], [ -124.52,36.26 ] ] ] } } ] }","volume":"90","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"53cd6200e4b0b290850fde30","contributors":{"authors":[{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":489064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crosby, Christopher J. 0000-0003-2522-4193","orcid":"https://orcid.org/0000-0003-2522-4193","contributorId":68415,"corporation":false,"usgs":true,"family":"Crosby","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehill, Caroline S.","contributorId":32087,"corporation":false,"usgs":true,"family":"Whitehill","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arrowsmith, J. Ramon","contributorId":101185,"corporation":false,"usgs":true,"family":"Arrowsmith","given":"J.","email":"","middleInitial":"Ramon","affiliations":[],"preferred":false,"id":489069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":489065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Philips, David A.","contributorId":70687,"corporation":false,"usgs":true,"family":"Philips","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489068,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199705,"text":"70199705 - 2009 - Why are diverse relationships observed between phytoplankton biomass and transport time?","interactions":[],"lastModifiedDate":"2018-10-08T09:00:48","indexId":"70199705","displayToPublicDate":"2009-01-14T09:07:24","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Why are diverse relationships observed between phytoplankton biomass and transport time?","docAbstract":"Transport time scales such as flushing time and residence time are often used to explain variability in phytoplankton biomass. In many cases, empirical data are consistent with a positive phytoplankton‐transport time relationship (i.e., phytoplankton biomass increases as transport time increases). However, negative relationships, varying relationships, or no significant relationship may also be observed. We present a simple conceptual model, in both mathematical and graphical form, to help explain why phytoplankton may have a range of relationships with transport time, and we apply it to several real systems. The phytoplankton growth‐loss balance determines whether phytoplankton biomass increases with, decreases with, or is insensitive to transport time. If algal growth is faster than loss (e.g., grazing, sedimentation), then phytoplankton biomass increases with increasing transport time. If loss is faster than growth, phytoplankton biomass decreases with increasing transport time. If growth and loss are approximately balanced, then phytoplankton biomass is relatively insensitive to transport time. In analyses of several systems, portions of an individual system, or time periods, apparent insensitivity of phytoplankton biomass to changes in transport time could arise due to the superposition of cases with different phytoplankton‐transport time relationships. Thus, in order to understand or predict responses of phytoplankton biomass to changes in transport time, the relative rates of algal growth and loss must be known.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.4319/lo.2009.54.1.0381","usgsCitation":"Lucas, L.V., Thompson, J.K., and Brown, L.R., 2009, Why are diverse relationships observed between phytoplankton biomass and transport time?: Limnology and Oceanography, v. 54, no. 1, p. 381-390, https://doi.org/10.4319/lo.2009.54.1.0381.","productDescription":"10 p.","startPage":"381","endPage":"390","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2009.54.1.0381","text":"Publisher Index Page"},{"id":357735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-14","publicationStatus":"PW","scienceBaseUri":"5c10cd70e4b034bf6a7f8b47","contributors":{"authors":[{"text":"Lucas, Lisa V.","contributorId":80992,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":746279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":746280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254206,"text":"70254206 - 2009 - Effects of fish size, habitat, flow, and density on capture probabilities of age-0 rainbow trout estimated from electrofishing at discrete sites in a large river","interactions":[],"lastModifiedDate":"2024-05-13T21:08:20.015141","indexId":"70254206","displayToPublicDate":"2009-01-09T15:50:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13429,"text":"Transactions of American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fish size, habitat, flow, and density on capture probabilities of age-0 rainbow trout estimated from electrofishing at discrete sites in a large river","docAbstract":"We estimated size-specific capture probabilities of age-0 rainbow trout Oncorhynchus mykiss in the Lee's Ferry Reach of the Colorado River, Arizona, by backpack and boat electrofishing at discrete shoreline sites using both depletion and mark-recapture experiments. Our objectives were to evaluate the feasibility of estimating capture probability for juvenile fish in larger rivers; to determine how it is influenced by fish size, habitat, flow, density, and recovery period; and to test population closure assumptions. There was no mortality among the 351 rainbow trout that were captured by electrofishing, marked, and held for 24 h. Of a total of 2,966 fish that were marked and released, only 0.61% were captured outside of mark-recapture sites, and total emigration from mark-recapture sites was 2.2-2.6%. These data strongly suggest that populations within discrete sites can be treated as effectively closed for the 24-h period between marking and recapture. Eighty percent of capture probability estimates from 66 depletion experiments and 42 mark-recapture experiments ranged from 0.28 to 0.75 and from 0.17 to 0.45, respectively, and the average coefficient of variation of estimates was 0.26. There was strong support for a fish size-capture probability relationship that accounted for the differences in vulnerability across habitat types. Smaller fish were less vulnerable in high-angle shorelines that were sampled by boat electrofishing. There was little support for capture probability models that accounted for within-day and across-month variation in flow. The effects of fish density on capture probability were challenging to discern, variable among habitat types and estimation methodologies, and confounded with the effect of fish size. As capture probability estimates were generally precise and the closure assumption was met, our results demonstrate that electrofishing-based mark-recapture experiments at discrete sites can be used to estimate the abundance of juvenile fish in large rivers.
","language":"English","publisher":"American Fisheries Society","doi":"10.1577/T08-025.1","usgsCitation":"Korman, J., Yard, M.D., Walters, C., and Coggins, L., 2009, Effects of fish size, habitat, flow, and density on capture probabilities of age-0 rainbow trout estimated from electrofishing at discrete sites in a large river: Transactions of American Fisheries Society, p. 58-75, https://doi.org/10.1577/T08-025.1.","productDescription":"18 p.","startPage":"58","endPage":"75","costCenters":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":428668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lee's Ferry Reach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Carl","contributorId":66156,"corporation":false,"usgs":true,"family":"Walters","given":"Carl","affiliations":[],"preferred":false,"id":900596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coggins, Lewis G.","contributorId":43249,"corporation":false,"usgs":true,"family":"Coggins","given":"Lewis G.","affiliations":[],"preferred":false,"id":900597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207726,"text":"70207726 - 2009 - Radiocarbon ages and age models for the past 30,000 years in Bear Lake, Utah and Idaho","interactions":[],"lastModifiedDate":"2020-06-15T16:52:42.923987","indexId":"70207726","displayToPublicDate":"2009-01-08T11:13:53","publicationYear":"2009","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":"Radiocarbon ages and age models for the past 30,000 years in Bear Lake, Utah and Idaho","docAbstract":"Radiocarbon analyses of pollen, ostracodes, and total organic carbon (TOC) provide a reliable chronology for the sediments deposited in Bear Lake over the past 30,000 years. The differences in apparent age between TOC, pollen, and carbonate fractions are consistent and in accord with the origins of these fractions. Comparisons among different fractions indicate that pollen sample ages are the most reliable, at least for the past 15,000 years. The post-glacial radiocarbon data also agree with ages independently estimated from aspartic acid racemization in ostracodes. Ages in the red, siliclastic unit, inferred to be of last glacial age, appear to be several thousand years too old, probably because of a high proportion of reworked, refractory organic carbon in the pollen samples.
Age-depth models for five piston cores and the Bear Lake drill core (BL00-1) were constructed by using two methods: quadratic equations and smooth cubic-spline fits. The two types of age models differ only in detail for individual cores, and each approach has its own advantages. Specific lithological horizons were dated in several cores and correlated among them, producing robust average ages for these horizons. The age of the correlated horizons in the red, siliclastic unit can be estimated from the age model for BL00-1, which is controlled by ages above and below the red, siliclastic unit. These ages were then transferred to the correlative horizons in the shorter piston cores, providing control for the sections of the age models in those cores in the red, siliclastic unit.
These age models are the backbone for reconstructions of past environmental conditions in Bear Lake. In general, sedimentation rates in Bear Lake have been quite uniform, mostly between 0.3 and 0.8 mm yr‒1 in the Holocene, and close to 0.5 mm yr‒1 for the longer sedimentary record in the drill core from the deepest part of the lake.
","language":"English","publisher":"GSA","doi":"10.1130/2009.2450(05)","usgsCitation":"Colman, S.M., Rosenbauer, R.J., Kaufman, D., Dean, W.E., and McGeehin, J., 2009, Radiocarbon ages and age models for the past 30,000 years in Bear Lake, Utah and Idaho: GSA Special Papers, v. 450, p. 133-144, https://doi.org/10.1130/2009.2450(05).","productDescription":"12 p.","startPage":"133","endPage":"144","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Utah","otherGeospatial":"Bear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.44805908203125,\n 41.83682786072714\n ],\n [\n -111.2310791015625,\n 41.83682786072714\n ],\n [\n -111.2310791015625,\n 42.14304156290942\n ],\n [\n -111.44805908203125,\n 42.14304156290942\n ],\n [\n -111.44805908203125,\n 41.83682786072714\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"450","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Colman, Steve M.","contributorId":49807,"corporation":false,"usgs":true,"family":"Colman","given":"Steve","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":779089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":779090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaufman, Darrell","contributorId":215397,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":779091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":779092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John mcgeehin@usgs.gov","contributorId":167455,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":779093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045981,"text":"70045981 - 2009 - Comparison of groundwater flow in Southern California coastal aquifers","interactions":[],"lastModifiedDate":"2022-11-14T16:59:27.793515","indexId":"70045981","displayToPublicDate":"2009-01-07T06:30:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Comparison of groundwater flow in Southern California coastal aquifers","docAbstract":"Development of the coastal aquifer systems of Southern California has resulted in overdraft, changes in streamflow, seawater intrusion, land subsidence, increased vertical flow between aquifers, and a redirection of regional flow toward pumping centers. These water-management challenges can be more effectively addressed by incorporating new understanding of the geologic, hydrologic, and geochemical setting of these aquifers.
\nGroundwater and surface-water flow are controlled, in part, by the geologic setting. The physiographic province and related tectonic fabric control the relation between the direction of geomorphic features and the flow of water. Geologic structures such as faults and folding also control the direction of flow and connectivity of groundwater flow. The layering of sediments and their structural association can also influence pathways of groundwater flow and seawater intrusion. Submarine canyons control the shortest potential flow paths that can result in seawater intrusion. The location and extent of offshore outcrops can also affect the flow of groundwater and the potential for seawater intrusion and land subsidence in coastal aquifer systems.
\nAs coastal aquifer systems are developed, the source and movement of ground-water and surface-water resources change. In particular, groundwater flow is affected by the relative contributions of different types of inflows and outflows, such as pump-age from multi-aquifer wells within basal or upper coarse-grained units, streamflow infiltration, and artificial recharge. These natural and anthropogenic inflows and outflows represent the supply and demand components of the water budgets of ground-water within coastal watersheds. They are all significantly controlled by climate variability related to major climate cycles, such as the El Niño–Southern Oscillation and the Pacific Decadal Oscillation. The combination of natural forcings and anthropogenic stresses redirects the flow of groundwater and either mitigates or exacerbates the potential adverse effects of resource development, such as declining water levels, sea-water intrusion, land subsidence, and mixing of different waters. Streamflow also has been affected by development of coastal aquifer systems and related conjunctive use.
\nSaline water is the largest water-quality problem in Southern California coastal aquifer systems. Seawater intrusion is a significant source of saline water, but saline water is also known to come from other sources and processes. Seawater intrusion is typically restricted to the coarse-grained units at the base of fining-upward sequences of terrestrial deposits, and at the top of coarsening upward sequences of marine deposits. This results in layered and narrow intrusion fronts.
\nMaintaining the sustainability of Southern California coastal aquifers requires joint management of surface water and groundwater (conjunctive use). This requires new data collection and analyses (including research drilling, modern geohydrologic investigations, and development of detailed computer groundwater models that simulate the supply and demand components separately), implementation of new facilities (including spreading and injection facilities for artificial recharge), and establishment of new institutions and policies that help to sustain the water resources and better manage regional development.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earth science in the urban ocean: The Southern California continental borderland","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2009.2454(5.3)","usgsCitation":"Hanson, R.T., Izbicki, J., Reichard, E.G., Edwards, B.D., Land, M., and Martin, P., 2009, Comparison of groundwater flow in Southern California coastal aquifers, chap. of Earth science in the urban ocean: The Southern California continental borderland, v. 454, p. 345-373, https://doi.org/10.1130/2009.2454(5.3).","productDescription":"29 p.","startPage":"345","endPage":"373","numberOfPages":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-002213","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":320537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.55041319190444,\n 35.01486276104701\n ],\n [\n -118.41696759712761,\n 34.83837527904167\n ],\n [\n -119.25040527348904,\n 34.28384187151697\n ],\n [\n -119.32767764083371,\n 34.210842379227316\n ],\n [\n -117.83742484204195,\n 33.58319992884715\n ],\n [\n -117.02606498492199,\n 32.61685755837884\n ],\n [\n -115.82834329107835,\n 32.733007144105244\n ],\n [\n -117.55041319190444,\n 35.01034218480635\n ],\n [\n -117.55041319190444,\n 35.01486276104701\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"454","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3fb2e4b071321fe56a0c","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":627625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichard, Eric G. 0000-0002-7310-3866 egreich@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-3866","contributorId":1207,"corporation":false,"usgs":true,"family":"Reichard","given":"Eric","email":"egreich@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":627626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":627627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":1479,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239188,"text":"70239188 - 2009 - Quaternary incision rates and drainage evolution of the Uncompahgre and Gunnison Rivers, western Colorado, as calibrated by the Lava Creek B ash","interactions":[],"lastModifiedDate":"2023-01-03T13:09:50.841845","indexId":"70239188","displayToPublicDate":"2009-01-03T07:03:20","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary incision rates and drainage evolution of the Uncompahgre and Gunnison Rivers, western Colorado, as calibrated by the Lava Creek B ash","docAbstract":"The Quaternary erosional history of western Colorado is documented in terraces of the Colorado, Gunnison, and Uncompahgre Rivers that contain the Lava Creek B ash (0.64 Ma). This paper reports an important new ash locality that dates ca. 100-m-high river gravels associated with the paleo-confluence of the Gunnison and Uncompahgre Rivers upstream from Grand Junction. Provenance analysis reveals paleo-Gunnison River gravels (containing granite and gneiss clasts) and paleo-Uncompahgre River gravels (containing Uncompahgre Group quartzite and San Juan volcanic field rocks). The paleo-Uncompahgre River gravels are 3 m directly beneath Lava Creek B ash, and the areal distribution of terraces indicates that this area was the paleo-confluence between the Gunnison and Uncompahgre Rivers. This confluence has shifted 11 km to the east since 0.64 Ma due to events related to stream piracy and drainage reorganization. Gunnison terrace straths near the paleo-confluence are estimated to be 106 m above the modern strath, giving an estimated incision rate of 165 m/Ma.
Because of excellent age and geologic control, this is one of the best incision-rate data points in the upper Colorado River system. It is similar to previously reported regional rates, but is substantially lower than upstream incision rates in the Black Canyon of the Gunnison River. This dated Gunnison River terrace anchors the projection of Lava Creek B-bearing Grand Mesa pediment surfaces (e.g., Petrie Mesa) to regional base level and helps constrain a regional reconstruction of the 0.64-Ma profile of the paleo-Gunnison River. This reconstruction shows dramatic differences in incision rate in the Gunnison River system since 0.64 Ma, and that a transient knickpoint migrated past Sawmill Mesa prior to 0.64 Ma. This incision data point has important implications for evaluating major Quaternary changes in the configuration of this part of the Rocky Mountain drainage system. It also provides evidence for a young, disequilibrium drainage system that is responding to base-level changes downstream driven by a stream capture event, which in turn may have been driven by tectonic or climatic perturbations.
Federal land management agencies have invested heavily in seeding vegetation for \nemergency stabilization and rehabilitation (ES&R) of non-forested lands. ES&R projects are \nimplemented to reduce post-fire dominance of non-native annual grasses, minimize probability \nof recurrent fire, quickly recover lost habitat for sensitive species, and ultimately result in plant \ncommunities with desirable characteristics including resistance to invasive species and resilience \nor ability to recover following disturbance. Land managers lack scientific evidence to verify \nwhether seeding non-forested lands achieves their desired long-term ES&R objectives. The \noverall objective of our investigation is to determine if ES&R projects increase perennial plant \ncover, improve community composition, decrease invasive annual plant cover and result in a \nmore desirable fuel structure relative to no treatment following fires while potentially providing \nhabitat for Greater Sage-Grouse, a species of management concern. In addition, we provide the \nlocations and baseline vegetation data for further studies relating to ES&R project impacts.
\nWe examined effects of seeding treatments (drill and broadcast) vs. no seeding on biotic \nand abiotic (bare ground and litter) variables for the dominant climate regimes and ecological \ntypes within the Great Basin. We attempted to determine seeding effectiveness to provide desired \nplant species cover while restricting non-native annual grass cover relative to post-treatment \nprecipitation, post-treatment grazing level and time-since-seeding. Seedings were randomly \nsampled from all known post-fire seedings that occurred in the four-state area of Idaho, Nevada, \nOregon and Utah. Sampling locations were stratified by major land resource area, precipitation, \nand loam-dominated soils to ensure an adequate spread of locations to provide inference of our \nfindings to similar lands throughout the Great Basin.
\nNearly 100 sites were located that contained an ES&R project. Of these sites, 61 were \nseeded by using a drill, 27 were broadcast aerially, and 12 had a combination of both. We \nrandomly sampled three burned and seeded, burned and unseeded, and unburned and unseeded \nlocations in the vicinity of the fire, each within the same ecological site. We measured foliar \ncover of all plant functional groups (perennial or annual, shrub, grass, forb, native or introduced), \nbiological soil crusts, and abiotic (bare soil and litter) variables using the line-point intercept \nprotocol. Fuel loads and horizontal fuel continuity were measured. We applied linear mixed \nmodels to response variables (cover and density of plant groups) relative to the dependent \nvariables (seeding treatments and precipitation/temperature relationships.
\nPost-fire strengths with native perennial grasses or shrubs in mixes did not increase density or cover of these groups significantly relative to unseeded, burned areas. Seeded non-native perennial grasses and the shrub Bassia prostrata were effective in providing more cover in aerial and drill seedings. Seeded non-native perennial grass cover increased with increased annual precipitation regardless of seeding type. Seeding native shrubs, particularly Artemisia tridentata, did not significantly increase shrub cover in burned areas. Cover of undesirable non-native annual grasses was lower in drill seedings relative to unseeded areas but only at higher elevations. Seeding effectiveness after wildfire is unpredictable in drier, low elevation environments, and our findings indicate management objectives are more likely met when focusing efforts on higher elevation or higher precipitation locations where establishment of perennial grasses is more likely. On sites where potential for invasion and dominance of non-native annuals is high, such as lower and drier sites, intensive methods of restoration that include invasive plant control before seeding may be required. Where establishment of native perennial plants is the goal, managers might consider using native-only seed mixtures, because we found that the non-native perennials typically used in Great Basin restoration efforts are selected for their competitive nature and may reduce establishment of less competitive native species. Although we attempted to include information on livestock grazing history after seedings, we were unable to extract sufficient data from files to address this topic that may play an additional role in understanding native plant abundance post-fire seeding.
\nEvaluation of drill and aerial seeding effects on fuel characteristics focused on two metrics that are standard inputs for fire behavior models, fuel load and fuel continuity. Fuel loads were evaluated separately for total fuel load biomass, and the individual components that sum to total biomass, namely herbaceous, shrub, shrub:herbaceous ratio, litter, 10-hour, and 100-hour fuel biomasses. Fuel continuity was evaluated using the following cover categories, total, annual grass, annual forb, perennial forb perennial grass, shrub, litter, vegetative interspace, and perennial interspace. Drill seeding did not affect fuel loads, except to reduce 10-hour fuels, probably due to mechanical destruction of dead and down fuels by the drill seeding equipment. Drill seeding did affect fuel continuity, specifically decreasing total plant cover by increasing perennial grass cover which suppressed annual grass and litter production resulting in a net decrease in continuity, but only at the elevations above approximately 1500m. Aerial seeding had no effect on any fuel load or fuel continuity category.
\nFor the Greater Sage-Grouse habitat study, we developed multi-scale empirical models of sage-grouse occupancy in 211 randomly located plots within a 40 million ha portion of the species’ range. We then used these models to predict sage-grouse habitat quality at 101 ES&R seeding projects. We compared conditions at restoration sites to published habitat guidelines. Sage-grouse occupancy was positively related to plot- and landscape-level dwarf sagebrush (Artemisia arbuscula, A. nova, A. tripartita) and big sagebrush steppe, and negatively associated with non-native grass and human development. The predicted probability of sage-grouse occupancy at treated plots was low on average (0.07–0.09) and was not significantly different from burned areas that had not been treated. Restoration was more often successful at higher elevation sites with low annual temperatures, high spring precipitation, and high plant diversity. No plots seeded after fire (n=313) met all overstory guidelines for breeding habitats, but approximately 50% met understory guidelines, particularly for perennial grasses. This trend was similar for summer habitat. Ninety-eight percent of treated plots did not meet winter habitat guidelines. Restoration actions in burned areas did not increase the probability of meeting most guideline criteria. The probability of meeting guidelines was influenced by a latitudinal gradient, local climate, and topography. Post-fire seeding treatments in Great Basin sagebrush shrublands generally have not created high quality habitat for sage-grouse. Understory conditions are more likely to be adequate than those of overstory, but in unfavorable climates, establishing forbs and reducing cheatgrass dominance is unlikely. Reestablishing sagebrush cover will require more than 20 years using the restoration methods of the past two decades. Given current fire frequencies and restoration capabilities, protection of landscapes containing a mix of dwarf sagebrush and big sagebrush steppe, minimal human development, and low non-native plant cover may provide the best opportunity for conservation of sage-grouse habitats.
\nOur database of ES&R locations has used the Land Treatment Digital Library to archive data and location information regarding our study (see Pilliod and Welty 2013). This has contributed to two additional studies. One examined the potential spread of Bassia prostrata (aka Kochia prostrata; forage kochia) from ES&R project locations (Gray and Muir 2013). The second used remote sensing to determine the phenology of vegetation green-up on post-fire seeded sites (Sankey et al. 2013).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Pyke, D.A., Pilliod, D., Chambers, J., Brooks, M.L., and Grace, J., 2009, Fire rehabilitation effectiveness: a chronosequence approach for the Great Basin, 34 p.","productDescription":"34 p.","numberOfPages":"34","ipdsId":"IP-053168","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":286059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286058,"type":{"id":15,"text":"Index Page"},"url":"https://www.firescience.gov/JFSP_advanced_search_results_detail.cfm?jdbid=%24%26Z%27%3AT%20%20%20%0A"}],"country":"United States","state":"California;Idaho;Oregon;Utah","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.42,34.43 ], [ -121.42,44.82 ], [ -110.78,44.82 ], [ -110.78,34.43 ], [ -121.42,34.43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559437e4b0120853e8bf7e","contributors":{"authors":[{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":487325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":487328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":487327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":487324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":35642,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[],"preferred":false,"id":487326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210876,"text":"sir20085005 - 2009 - Hydrologic conditions and a firm-yield assessment for J.B. Converse Lake, Mobile County, Alabama, 1991-2006","interactions":[],"lastModifiedDate":"2020-07-03T15:48:22.48054","indexId":"sir20085005","displayToPublicDate":"2009-01-01T14:56:09","publicationYear":"2009","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":"2008-5005","title":"Hydrologic conditions and a firm-yield assessment for J.B. Converse Lake, Mobile County, Alabama, 1991-2006","docAbstract":"J.B. Converse (Converse) Lake is the primary source of drinking water for the city of Mobile, Alabama. Concerns regarding the ability of the reservoir to meet current and future water demands during drought conditions have prompted this study. The 1991 through 2006 water years included a drought that occurred during 2000, and drought conditions currently (2007) are affecting the area. To assist officials of the Mobile Area Water and Sewer System in planning for future demands for drinking water in the Mobile metropolitan area, the firm yield for Converse Lake was estimated by the U.S. Geological Survey.
The firm yield of Converse Lake was estimated using the Massachusetts Department of Environmental Protection’s firm-yield-estimator (FYE) model, which recently was refined by the U.S. Geological Survey. The model uses a mass-balance approach to determine the maximum average daily withdrawal rate that can be sustained during a period of record that includes a drought of record. If the reservoir is in contact with an aquifer, the FYE also includes routines that estimate the volume of ground-water and surface-water exchange between the aquifer and the reservoir.
The average daily firm yield for Converse Lake was estimated to be 79 million gallons per day using the FYE routine that does not include ground-water exchange between the reservoir and the adjacent aquifer. Observed lake levels and withdrawals during the drought of 2000 indicate that more than 74 million gallons per day of water were withdrawn without complete depletion of reservoir storage. Therefore, it is likely that ground-water exchange with the reservoir may supplement available reservoir storage. If water exchange occurs between the aquifer and the reservoir, an increase in the volume of water available to the reservoir may occur during a drought. To quantify the potential ground-water contribution to reservoir storage, an analytical solution was applied to the FYE simulation of Converse Lake to estimate ground-water exchange between the reservoir and the aquifer. Aquifer properties required by the FYE were estimated by model calibration to observed water levels that occurred during the drought of 2000. When ground-water exchange between the reservoir and adjacent aquifer is included, the average daily firm yield increased to 83 million gallons per day.
The estimate of 83 million gallons per day incorporates both total surface-water flow and ground-water exchange components. This analysis indicated that direct ground-water interaction contributes about 5 percent of the firm yield of Converse Lake. However, the average daily firm yield of 83 million gallons per day, based in part on calibrated values for aquifer transmissivity and storage, can be used only as a guideline until these aquifer properties can be defined better by field investigation in the Converse Lake watershed.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085005","collaboration":"Prepared in cooperation with the Mobile Area Water and Sewer System","usgsCitation":"Carlson, C.S., and Archfield, S.A., 2009, Hydrologic conditions and a firm-yield assessment for J.B. Converse Lake, Mobile County, Alabama, 1991-2006 (Second Edition): U.S. Geological Survey Scientific Investigations Report 2008-5005, v, 21 p., https://doi.org/10.3133/sir20085005.","productDescription":"v, 21 p.","numberOfPages":"32","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":376032,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96691.htm","linkFileType":{"id":5,"text":"html"}},{"id":376031,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2008/5005/images/cover.jpg"},{"id":376030,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5005/pdf/sir20085005_SecondEdition.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":376029,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5005/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","county":"Mobile County","otherGeospatial":"J.B. Converse Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.38157653808594,\n 30.70287744595804\n ],\n [\n -88.24356079101562,\n 30.70287744595804\n ],\n [\n -88.24356079101562,\n 31\n ],\n [\n -88.38157653808594,\n 31\n ],\n [\n -88.38157653808594,\n 30.70287744595804\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Second Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":791915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}