At the request of two offices of the U.S. Fish and Wildlife Service (FWS) located in Yreka and Arcata, Calif., we applied the Systems Impact Assessment Model (SIAM) to analyze a variety of water management concerns associated with the Federal Energy Regulatory Commission (FERC) relicensing of the Klamath hydropower projects or with ongoing management of anadromous fish stocks in the mainstem Klamath River, Oregon and California. Requested SIAM analyses include predicted effects of reservoir withdrawal elevations, use of full active storage in Copco and Iron Gate Reservoirs to augment spring flows, and predicted spawning and juvenile outmigration timing of fall Chinook salmon. In an effort to further refine the analysis of spring flow effects on predicted fall Chinook production, additional SIAM analyses were performed for predicted response to spring flow release variability from Iron Gate Dam, high and low pulse flow releases, the predicted effects of operational constraints for both Upper Klamath Lake water surface elevations, and projected flow releases specified in the Klamath Project 2006 Operations Plan (April 10, 2006).
Results of SIAM simulations to determine flow and water temperature relationships indicate that up to 4 degrees C of thermal variability can be attributed to flow variations, but the effect is seasonal. Much more of thermal variability can be attributed to air temperature variations, up to 6 degrees C. Reservoirs affect the annual thermal signature by delaying spring warming by about 3 weeks and fall cooling by about 2 weeks. Multi-level release outlets on Iron Gate Dam would have limited utility; however, if releases are small (700 cfs) and a near-surface and bottom-level outlet could be blended, then water temperature may be reduced by 2-4 degrees C for a 4-week period during September. Using the full active storage in Copco and Iron Gate Reservoir, although feasible, had undesirable ramifications such as earlier spring warming, loss of hydropower production, and inability to re-fill the reservoirs without causing shortages elsewhere in the system. Altering spawning and outmigration timing may be important management objectives for the salmon fishery, but difficult to implement. SIAM predicted benefits that might occur if water temperature was cooler in fall and spring emergence was advanced; however, model simulations were based on purely arbitrary thermal reductions. Spring flow variability did indicate that juvenile fall Chinook rearing habitat was the major biological 'bottleneck' for year class success. Rearing habitat is maximal in a range between 4,500 and 5,500 cfs below Iron Gate Dam. These flow levels are not typically provided by Klamath River system operations, except in very wet years. The incremental spring flow analysis provided insight into when and how long a pulse flow should occur to provide predicted fall Chinook salmon production increases. In general, March 15th - April 30th of any year was the period for pulse flows and 4000 cfs was the target flow release that provided near-optimal juvenile rearing habitat. Again, competition for water resources in the Klamath River Basin may make implementation of pulsed flows difficult.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091265","usgsCitation":"Campbell, S.G., Bartholow, J.M., and Heasley, J., 2010, Application of the Systems Impact Assessment Model (SIAM) to fishery resource issues in the Klamath River, California: U.S. Geological Survey Open-File Report 2009-1265, vi, 74 p., https://doi.org/10.3133/ofr20091265.","productDescription":"vi, 74 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":199403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13439,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1265/","linkFileType":{"id":5,"text":"html"}},{"id":394518,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1265/pdf/OF09-1265.pdf","text":"Report","size":"1,036 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.12353515624999,\n 41.60312076451184\n ],\n [\n -123.1512451171875,\n 39.740986355883564\n ],\n [\n -122.44262695312501,\n 39.71986348549764\n ],\n [\n -121.98669433593749,\n 39.80009595634838\n ],\n [\n -121.86584472656251,\n 40.826280356677124\n ],\n [\n -120.003662109375,\n 41.32732632036622\n ],\n [\n -120.05859375,\n 42.00032514831621\n ],\n [\n -120.1080322265625,\n 42.71069600569497\n ],\n [\n -120.4046630859375,\n 43.723474896114794\n ],\n [\n -121.6351318359375,\n 43.731414013769\n ],\n [\n -121.8109130859375,\n 43.72744458647464\n ],\n [\n -122.1844482421875,\n 43.48082639482503\n ],\n [\n -122.18994140624999,\n 42.984558134256076\n ],\n [\n -122.34374999999999,\n 42.39912215986002\n ],\n [\n -123.04687499999999,\n 42.01665183556825\n ],\n [\n -123.387451171875,\n 42.00848901572399\n ],\n [\n -124.12353515624999,\n 41.60312076451184\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a6bf","contributors":{"authors":[{"text":"Campbell, Sharon G.","contributorId":23173,"corporation":false,"usgs":true,"family":"Campbell","given":"Sharon","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":304635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholow, John M.","contributorId":77598,"corporation":false,"usgs":true,"family":"Bartholow","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heasley, John","contributorId":57004,"corporation":false,"usgs":true,"family":"Heasley","given":"John","email":"","affiliations":[],"preferred":false,"id":304636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98181,"text":"ofr20091273 - 2010 - Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida","interactions":[],"lastModifiedDate":"2023-12-07T14:32:15.739899","indexId":"ofr20091273","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1273","title":"Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida","docAbstract":"The tidal reach of the Caloosahatchee River is an estuarine habitat that supports a diverse assemblage of biota including aquatic vegetation, shellfish, and finfish. The system has been highly modified by anthropogenic activity over the last 150 years (South Florida Water Management District (SFWMD), 2009). For example, the river was channelized and connected to Lake Okeechobee in 1881 (via canal C-43). Subsequently, three control structures (spillway and locks) were installed for flood protection (S-77 and S-78 in the 1930s) and for saltwater-intrusion prevention (S-79, W.P. Franklin Lock and Dam in 1966). The emplacement of these structures and their impact to natural water flow have been blamed for water-quality problems downstream within the estuary (Flaig and Capece, 1998; SFWMD, 2009). Doering and Chamberlain (1999) found that the operation of these control structures caused large and often rapid variations in salinity during various times of the year. Variable salinities could have deleterious impacts on the health of organisms in the Caloosahatchee River estuary.
Flow restriction along the Caloosahatchee has also been linked to surface-water eutrophication problems (Doering and Chamberlain, 1999; SFWMD, 2009) and bottom-sediment contamination (Fernandez and others, 1999). Sources of nutrients (nitrogen and phosphorous) that cause eutrophication are primarily from residential sources and agriculture, though wastewater-treatment-plant discharges can also play a major role (SFWMD, 2009). The pathway for many of these nutrients is by land runoff and direct discharge from stormwater drains. An often overlooked source of nutrients and other chemical constituents is from submarine groundwater discharge (SGD). SGD can be either a diffuse or point source (for example, submarine springs) of nutrients and other chemical constituents to coastal waters (Valiela and others, 1990; Swarzenski and others, 2001; 2006; 2007; 2008). SGD can be composed of either fresh or marine water or various mixed ratios of fresh and marine water (Martin and others, 2007). In coastal areas where water-table elevations (hydraulic gradients) are steep, such as in Hood Canal, Washington (Swarzenski and others, 2007; Simonds and others, 2008), groundwater entering the coastal marine waters can be fresh (~1-4 parts per thousand, ppt). SGD in coastal locations that have low relief (low hydraulic gradients) such as the study area or other locations in Florida are typically driven by tidal pumping (Reich and others, 2002; 2008; Swarzenski and others, 2008), and water advecting into surface water is composed of recirculated marine water mixed with either fresh or brackish groundwaters.
The importance of SGD in the delivery of nutrients and trace elements to coastal environments has been shown to be both beneficial and deleterious to ecosystem health (Valiela and others, 1990). The logical step in studying SGD is to map areas where SGD occurs. Methods such as continuous surface-water radon-222 (222Rn) mapping and electrical resistivity (continuous resistivity profiles, CRP) have been developed and used to identify potential SGD sites (Dulaiova and others, 2005; Swarzenski and others 2004; 2006; 2007; 2008; Reich and others, 2008). CRP data record subsurface, bulk-resistivity measurements to depths up to 25 meters (m). The bulk resistivity can be representative of changes in porewater salinity or in lithology (Reich and others, 2008; Swarzenski and others, 2008). Radon-222 (half-life = 3.28 days) is a natural tracer of groundwater, because sediments and rocks, containing uranium-bearing materials such as limestone and phosphatic material, continually produce 222Rn. Rn-222 (also referred to simply as radon) is an ideal tracer, because there is a constant source. Since radon is a gas, 222Rn does not build up in the surface water but rather evades directly to the atmosphere (Burnett and Dulaiova, 2003; Burnett and others, 2003; Dulaiova and Burnett, 2006).
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091273","usgsCitation":"Reich, C.D., 2010, Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida: U.S. Geological Survey Open-File Report 2009-1273, Report: v, 20 p.; Appendix, https://doi.org/10.3133/ofr20091273.","productDescription":"Report: v, 20 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423292,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91390.htm","linkFileType":{"id":5,"text":"html"}},{"id":199286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13425,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1273/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Caloosahatchee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.6903,\n 26.7333\n ],\n [\n -82,\n 26.7333\n ],\n [\n -82,\n 26.5\n ],\n [\n -81.6903,\n 26.5\n ],\n [\n -81.6903,\n 26.7333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4883e4b07f02db5180e8","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":304577,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98180,"text":"ofr20101018 - 2010 - The Limit of Inundation of the September 29, 2009, Tsunami on Tutuila, American Samoa","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101018","displayToPublicDate":"2010-02-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1018","title":"The Limit of Inundation of the September 29, 2009, Tsunami on Tutuila, American Samoa","docAbstract":"U.S. Geological Survey scientists investigated the coastal impacts of the September 29, 2009, South Pacific tsunami in Tutuila, American Samoa in October and November 2009, including mapping the alongshore variation in the limit of inundation. Knowing the inundation limit is useful for planning safer coastal development and evacuation routes for future tsunamis and for improving models of tsunami hazards. This report presents field data documenting the limit of inundation at 18 sites around Tutuila collected in the weeks following the tsunami using Differential GPS (DGPS). In total, 15,703 points along inundation lines were mapped. Estimates of DGPS error and uncertainty in interpretation of the inundation line are provided as electronic files that accompany this report. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101018","usgsCitation":"Jaffe, B.E., Gelfenbaum, G., Buckley, M.L., Watt, S., Apotsos, A., Stevens, A., and Richmond, B.M., 2010, The Limit of Inundation of the September 29, 2009, Tsunami on Tutuila, American Samoa: U.S. Geological Survey Open-File Report 2010-1018, Report: vi, 27 p. ; Inundation line data (comma-delimited text file; Excel; ESRI); Metadata (ASCII; XML; FAQ as HTML), https://doi.org/10.3133/ofr20101018.","productDescription":"Report: vi, 27 p. ; Inundation line data (comma-delimited text file; Excel; ESRI); Metadata (ASCII; XML; FAQ as HTML)","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-10-01","temporalEnd":"2009-11-30","costCenters":[{"id":528,"text":"Pacific Science Center","active":false,"usgs":true}],"links":[{"id":125354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1018.gif"},{"id":13423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1018/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -175,-16.833333333333332 ], [ -175,-12 ], [ -168,-12 ], [ -168,-16.833333333333332 ], [ -175,-16.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db68782d","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":304575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Mark L.","contributorId":41385,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Steve swatt@usgs.gov","contributorId":4451,"corporation":false,"usgs":true,"family":"Watt","given":"Steve","email":"swatt@usgs.gov","affiliations":[],"preferred":true,"id":304572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Apotsos, Alex","contributorId":60997,"corporation":false,"usgs":true,"family":"Apotsos","given":"Alex","email":"","affiliations":[],"preferred":false,"id":304574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stevens, Andrew W.","contributorId":89093,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew W.","affiliations":[],"preferred":false,"id":304576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304571,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70118898,"text":"70118898 - 2010 - Modeling the human invader in the United States","interactions":[],"lastModifiedDate":"2017-04-06T12:02:16","indexId":"70118898","displayToPublicDate":"2010-02-08T08:53:54","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the human invader in the United States","docAbstract":"Modern biogeographers recognize that humans are seen as constituents of ecosystems, drivers of significant change, and perhaps, the most invasive species on earth. We found it instructive to model humans as invasive organisms with the same environmental factors. We present a preliminary model of the spread of modern humans in the conterminous United States between 1992 and 2001 based on a subset of National Land Cover Data (NLCD), a time series LANDSAT product. We relied on the commonly used Maxent model, a species-environmental matching model, to map urbanization. Results: Urban areas represented 5.1% of the lower 48 states in 2001, an increase of 7.5% (18,112 km2) in the nine year period. At this rate, an area the size of Massachusetts is converted to urban land use every ten years. We used accepted models commonly used for mapping plant and animal distributions and found that climatic and environmental factors can strongly predict our spread (i.e., the conversion of forests, shrub/grass, and wetland areas into urban areas), with a 92.5% success rate (Area Under the Curve). Adding a roads layer in the model improved predictions to a 95.5% success rate. 8.8% of the 1-km2> cells in the conterminous U.S. now have a major road in them. In 2001, 0.8% of 1-km2 > cells in the U.S. had an urbanness value of > 800, (>89% of a 1-km2> cell is urban), while we predict that 24.5% of 1-km2> cells in the conterminous U.S. will be > 800 eventually. Main conclusion: Humans have a highly predictable pattern of urbanization based on climatic and topographic variables. Conservation strategies may benefit from that predictability.","language":"English","publisher":"Society of Photo-optical Instrumentation Engineers","publisherLocation":"Bellingham, WA","doi":"10.1117/1.3357386","usgsCitation":"Stohlgren, T.J., Jarnevich, C.S., and Giri, C.P., 2010, Modeling the human invader in the United States: Journal of Applied Remote Sensing, v. 4, no. 1, Article 043509, https://doi.org/10.1117/1.3357386.","productDescription":"Article 043509","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":291443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291442,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3357386"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db5846e4b0fba533fa358f","contributors":{"authors":[{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giri, Chandra P.","contributorId":57379,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":497363,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98170,"text":"ofr20101011 - 2010 - Power to detect trends in Missouri River fish populations within the Habitat Assessment Monitoring Program","interactions":[],"lastModifiedDate":"2017-05-23T12:23:31","indexId":"ofr20101011","displayToPublicDate":"2010-02-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1011","title":"Power to detect trends in Missouri River fish populations within the Habitat Assessment Monitoring Program","docAbstract":"As with all large rivers in the United States, the Missouri River has been altered, with approximately one-third of the mainstem length impounded and one-third channelized. These physical alterations to the environment have affected the fish populations, but studies examining the effects of alterations have been localized and for short periods of time, thereby preventing generalization. In response to the U.S. Fish and Wildlife Service Biological Opinion, the U.S. Army Corps of Engineers (USACE) initiated monitoring of habitat improvements of the Missouri River in 2005. The goal of the Habitat Assessment Monitoring Program (HAMP) is to provide information on the response of target fish species to the USACE habitat creation on the Lower Missouri River. To determine the statistical power of the HAMP and in cooperation with USACE, a power analysis was conducted using a normal linear mixed model with variance component estimates based on the first complete year of data. At a level of 20/16 (20 bends with 16 subsamples in each bend), at least one species/month/gear model has the power to determine differences between treated and untreated bends. The trammel net in September had the most species models with adequate power at the 20/16 level and overall, the trammel net had the most species/month models with adequate power at the 20/16 level. However, using only one gear or gear/month combination would eliminate other species of interest, such as three chub species (Macrhybopsis meeki, Macrhybopsis aestivalis, and Macrhybopsis gelida), sand shiners (Notropis stramineus), pallid sturgeon (Scaphirhynchus albus), and juvenile sauger (Sander canadensis). Since gear types are selective in their species efficiency, the strength of the HAMP approach is using multiple gears that have statistical power to differentiate habitat treatment differences in different fish species within the Missouri River. As is often the case with sampling rare species like the pallid sturgeon, the data used to conduct the analyses exhibit some departures from the parametric model assumptions. However, preliminary simulations indicate that the results of this study are appropriate for application to the HAMP study design.\r\n ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101011","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Bryan, J.L., Wildhaber, M.L., and Gladish, D.W., 2010, Power to detect trends in Missouri River fish populations within the Habitat Assessment Monitoring Program: U.S. Geological Survey Open-File Report 2010-1011, vi, 42 p., https://doi.org/10.3133/ofr20101011.","productDescription":"vi, 42 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-10-31","temporalEnd":"2006-10-30","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":128517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1011/","linkFileType":{"id":5,"text":"html"}},{"id":341579,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1011/pdf/OF2010-1011.pdf","text":"Report","size":"950 kB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad3e4b07f02db681d3a","contributors":{"authors":[{"text":"Bryan, Janice L.","contributorId":58589,"corporation":false,"usgs":true,"family":"Bryan","given":"Janice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":304538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladish, Dan W.","contributorId":45248,"corporation":false,"usgs":true,"family":"Gladish","given":"Dan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":304539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98166,"text":"cir1343 - 2010 - Evolution of Ore Deposits and Technology Transfer Project: Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008","interactions":[],"lastModifiedDate":"2012-02-02T00:14:23","indexId":"cir1343","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1343","title":"Evolution of Ore Deposits and Technology Transfer Project: Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008","docAbstract":"Principal functions of the U.S. Geological Survey (USGS) Mineral Resources Program are providing assessments of the location, quantity, and quality of undiscovered mineral deposits, and predicting the environmental impacts of exploration and mine development. The mineral and environmental assessments of domestic deposits are used by planners and decisionmakers to improve the stewardship of public lands and public resources. Assessments of undiscovered mineral deposits on a global scale reveal the potential availability of minerals to the United States and other countries that manufacture goods imported to the United States. These resources are of fundamental relevance to national and international economic and security policy in our globalized world economy. \r\n\r\nPerforming mineral and environmental assessments requires that predictions be made of the likelihood of undiscovered deposits. The predictions are based on geologic and geoenvironmental models that are constructed for the diverse types of mineral deposits from detailed descriptions of actual deposits and detailed understanding of the processes that formed them. Over the past three decades the understanding of ore-forming processes has benefited greatly from the integration of laboratory-based geochemical tools with field observations and other data sources. Under the aegis of the Evolution of Ore Deposits and Technology Transfer Project (referred to hereinafter as the Project), a 5-year effort that terminated in 2008, the Mineral Resources Program provided state-of-the-art analytical capabilities to support applications of several related geochemical tools to ore-deposit-related studies. \r\n\r\nThe analytical capabilities and scientific approaches developed within the Project have wide applicability within Earth-system science. For this reason the Project Laboratories represent a valuable catalyst for interdisciplinary collaborations of the type that should be formed in the coming years for the United States to meet its natural-resources and natural-science needs. \r\n\r\nThis circular presents an overview of the Project. Descriptions of the Project laboratories are given first including descriptions of the types of chemical or isotopic analyses that are made and the utility of the measurements. This is followed by summaries of select measurements that were carried out by the Project scientists. The studies are grouped by science direction. Virtually all of them were collaborations with USGS colleagues or with scientists from other governmental agencies, academia, or the private sector. \r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1343","usgsCitation":"Rye, R.O., Johnson, C.A., Landis, G.P., Hofstra, A.H., Emsbo, P., Stricker, C.A., Hunt, A.G., and Rusk, B.G., 2010, Evolution of Ore Deposits and Technology Transfer Project: Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008: U.S. Geological Survey Circular 1343, ix, 43 p. , https://doi.org/10.3133/cir1343.","productDescription":"ix, 43 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":195517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13410,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1343/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a9d0","contributors":{"authors":[{"text":"Rye, Robert O. rrye@usgs.gov","contributorId":1486,"corporation":false,"usgs":true,"family":"Rye","given":"Robert","email":"rrye@usgs.gov","middleInitial":"O.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":304518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":304513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304516,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rusk, Brian G.","contributorId":23648,"corporation":false,"usgs":true,"family":"Rusk","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":304517,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98168,"text":"fs20093096 - 2010 - Health effects of energy resources","interactions":[],"lastModifiedDate":"2018-07-31T10:04:39","indexId":"fs20093096","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-3096","title":"Health effects of energy resources","docAbstract":"Energy resources (coal, oil, and natural gas) are among the cornerstones of modern industrial society. The exploitation of these resources, however, is not without costs. Energy materials may contain harmful chemical substances that, if mobilized into air, water, or soil, can adversely impact human health and environmental quality. In order to address the issue of human exposure to toxic substances derived from energy resources, the U.S. Geological Survey (USGS) Energy Resources Program developed a project entitled 'Impacts of Energy Resources on Human Health and Environmental Quality.' The project is intended to provide policymakers and the public with the scientific information needed to weigh the human health and environmental consequences of meeting our energy needs. This fact sheet discusses several areas where the USGS Energy Resources Program is making scientific advances in this endeavor.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093096","usgsCitation":"Orem, W., Tatu, C., Pavlovic, N., Bunnell, J., Kolker, A., Engle, M., and Stout, B., 2010, Health effects of energy resources: U.S. Geological Survey Fact Sheet 2009-3096, 5 p., https://doi.org/10.3133/fs20093096.","productDescription":"5 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3096.bmp"},{"id":13411,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3096/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a62e4b07f02db636244","contributors":{"authors":[{"text":"Orem, William 0000-0003-4990-0539","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":105293,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"","affiliations":[],"preferred":false,"id":304528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatu, Calin","contributorId":39081,"corporation":false,"usgs":true,"family":"Tatu","given":"Calin","email":"","affiliations":[],"preferred":false,"id":304526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavlovic, Nikola","contributorId":105399,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Nikola","email":"","affiliations":[],"preferred":false,"id":304529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, Joseph","contributorId":35412,"corporation":false,"usgs":true,"family":"Bunnell","given":"Joseph","affiliations":[],"preferred":false,"id":304525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":304524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stout, Ben","contributorId":57171,"corporation":false,"usgs":true,"family":"Stout","given":"Ben","email":"","affiliations":[],"preferred":false,"id":304527,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198312,"text":"70198312 - 2010 - Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography","interactions":[],"lastModifiedDate":"2018-07-31T09:39:05","indexId":"70198312","displayToPublicDate":"2010-02-01T09:06:01","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"subseriesTitle":"Geodesy and Gravity/Tectonophysics","title":"Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography","docAbstract":"Interferometric synthetic aperture radar (InSAR) data indicate that the caldera of Okmok volcano, Alaska, subsided more than a meter during its eruption in 1997. The large deformation suggests a relatively shallow magma reservoir beneath Okmok. Seismic tomography using ambient ocean noise reveals two low‐velocity zones (LVZs). The shallow LVZ corresponds to a region of weak, fluid‐saturated materials within the caldera and extends from the caldera surface to a depth of 2 km. The deep LVZ clearly indicates the presence of the magma reservoir beneath Okmok that is significantly deeper (>4 km depth) compared to previous geodetic‐based estimates (3 km depth). The deep LVZ associated with the magma reservoir suggests magma remains in a molten state between eruptions. We construct finite element models (FEMs) to simulate deformation caused by mass extraction from a magma reservoir that is surrounded by a viscoelastic rind of country rock embedded in an elastic domain that is partitioned to account for the weak caldera materials observed with tomography. This configuration allows us to reduce the estimated magma reservoir depressurization to within lithostatic constraints, while simultaneously maintaining the magnitude of deformation required to predict the InSAR data. More precisely, the InSAR data are best predicted by an FEM simulating a rind viscosity of 7.5 × 1016 Pa s and a mass flux of −4.2 × 109 kg/d from the magma reservoir. The shallow weak layer within the caldera provides a coeruption stress regime and neutral buoyancy horizon that support lateral magma propagation from the central magma reservoir to extrusion near the rim of the caldera.
","language":"English","publisher":"AGU","doi":"10.1029/2009JB006324","usgsCitation":"Masterlark, T., Haney, M.M., Dickinson, H., Searcy, C., and Fournier, T., 2010, Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography: Journal of Geophysical Research B: Solid Earth, v. 115, no. B2, B02409; 22 p., https://doi.org/10.1029/2009JB006324.","productDescription":"B02409; 22 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Umnak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.7886962890625,\n 53.52071674896369\n ],\n [\n -167.783203125,\n 53.491313790532956\n ],\n [\n -167.85736083984375,\n 53.43899149184267\n ],\n [\n -167.83538818359375,\n 53.409531853086435\n ],\n [\n -167.83538818359375,\n 53.375136469342564\n ],\n [\n -167.904052734375,\n 53.35219076980275\n ],\n [\n -167.9974365234375,\n 53.322670996353274\n ],\n [\n -168.11279296874997,\n 53.28163740806336\n ],\n [\n -168.145751953125,\n 53.26357013647525\n ],\n [\n -168.26385498046875,\n 53.238920640924974\n ],\n [\n -168.3160400390625,\n 53.207677555890015\n ],\n [\n -168.3380126953125,\n 53.16982647814065\n ],\n [\n -168.37646484374997,\n 53.1237017988457\n ],\n [\n -168.4423828125,\n 53.05112003878514\n ],\n [\n -168.51654052734375,\n 53.028000167735165\n ],\n [\n -168.56597900390625,\n 53.028000167735165\n ],\n [\n -168.65386962890625,\n 52.976762037220865\n ],\n [\n -168.69232177734375,\n 52.95856614537994\n ],\n [\n -168.76647949218747,\n 52.950292753243794\n ],\n [\n -168.75,\n 52.92049543493046\n ],\n [\n -168.7774658203125,\n 52.907245596258804\n ],\n [\n -168.8104248046875,\n 52.91718335527073\n ],\n [\n -168.8653564453125,\n 52.89564866211353\n ],\n [\n -168.99169921875,\n 52.85752259337269\n ],\n [\n -169.1015625,\n 52.82766141733736\n ],\n [\n -169.07135009765625,\n 52.85752259337269\n ],\n [\n -168.97796630859375,\n 52.8757609818473\n ],\n [\n -168.95599365234375,\n 52.89564866211353\n ],\n [\n -168.97247314453125,\n 52.91883942676673\n ],\n [\n -168.96697998046875,\n 52.94201777829491\n ],\n [\n -168.92303466796872,\n 52.930430153993285\n ],\n [\n -168.85162353515625,\n 52.94201777829491\n ],\n [\n -168.86810302734375,\n 52.9751081817353\n ],\n [\n -168.87359619140625,\n 53.00321511746941\n ],\n [\n -168.85162353515625,\n 53.019740066071975\n ],\n [\n -168.79669189453125,\n 53.028000167735165\n ],\n [\n -168.76647949218747,\n 53.08082737207479\n ],\n [\n -168.78021240234375,\n 53.095673355930224\n ],\n [\n -168.804931640625,\n 53.126998061776156\n ],\n [\n -168.78295898437497,\n 53.164886917594714\n ],\n [\n -168.75274658203125,\n 53.19122467094176\n ],\n [\n -168.70880126953125,\n 53.220835317147554\n ],\n [\n -168.68957519531247,\n 53.23563296842824\n ],\n [\n -168.6566162109375,\n 53.23234504341257\n ],\n [\n -168.61541748046875,\n 53.27506837459297\n ],\n [\n -168.56597900390625,\n 53.260284357597115\n ],\n [\n -168.50830078125,\n 53.25535521592485\n ],\n [\n -168.475341796875,\n 53.27671072761385\n ],\n [\n -168.4478759765625,\n 53.27506837459297\n ],\n [\n -168.4368896484375,\n 53.258641373488096\n ],\n [\n -168.39294433593747,\n 53.261927278592474\n ],\n [\n -168.3599853515625,\n 53.25699832626436\n ],\n [\n -168.34625244140622,\n 53.26521293124656\n ],\n [\n -168.3544921875,\n 53.28820543193896\n ],\n [\n -168.37646484374997,\n 53.31282653094477\n ],\n [\n -168.43963623046872,\n 53.32431151982718\n ],\n [\n -168.44512939453125,\n 53.342353115548796\n ],\n [\n -168.41217041015625,\n 53.34399288223422\n ],\n [\n -168.39569091796875,\n 53.38169011399543\n ],\n [\n -168.4149169921875,\n 53.41280615440963\n ],\n [\n -168.3709716796875,\n 53.4471711023092\n ],\n [\n -168.3380126953125,\n 53.48150827154005\n ],\n [\n -168.3160400390625,\n 53.48314268211716\n ],\n [\n -168.2391357421875,\n 53.525615259225226\n ],\n [\n -168.09631347656247,\n 53.561520361897486\n ],\n [\n -168.0523681640625,\n 53.55825752009741\n ],\n [\n -168.00292968749997,\n 53.56478295204427\n ],\n [\n -167.96173095703125,\n 53.556626004824615\n ],\n [\n -167.9534912109375,\n 53.537042913738745\n ],\n [\n -167.91229248046875,\n 53.522349648656935\n ],\n [\n -167.7886962890625,\n 53.52071674896369\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","issue":"B2","noUsgsAuthors":false,"publicationDate":"2010-02-27","publicationStatus":"PW","scienceBaseUri":"5b98b7cae4b0702d0e844f4e","contributors":{"authors":[{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":740990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":740991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Haylee","contributorId":206545,"corporation":false,"usgs":false,"family":"Dickinson","given":"Haylee","email":"","affiliations":[],"preferred":false,"id":740992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Searcy, Cheryl 0000-0002-9474-5745 csearcy@usgs.gov","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":4039,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"csearcy@usgs.gov","affiliations":[],"preferred":true,"id":740993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fournier, T.","contributorId":78964,"corporation":false,"usgs":true,"family":"Fournier","given":"T.","email":"","affiliations":[],"preferred":false,"id":740994,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194388,"text":"70194388 - 2010 - Symposium on the ecology of plague and its effects on wildlife: A model for translational research","interactions":[],"lastModifiedDate":"2021-03-29T14:51:26.145846","indexId":"70194388","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Symposium on the ecology of plague and its effects on wildlife: A model for translational research","docAbstract":"No abstract available.
","language":"English","publisher":"Mary Ann Liebert, Inc. Publishers","doi":"10.1089/vbz.2009.2010.pl.intro","usgsCitation":"Antolin, M.F., Biggins, D.E., and Gober, P., 2010, Symposium on the ecology of plague and its effects on wildlife: A model for translational research: Vector-Borne and Zoonotic Diseases, v. 10, no. 1, p. 3-5, https://doi.org/10.1089/vbz.2009.2010.pl.intro.","productDescription":"3 p.","startPage":"3","endPage":"5","ipdsId":"IP-016066","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acce4b06e28e9c256d7","contributors":{"authors":[{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":723650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gober, Pete","contributorId":120750,"corporation":false,"usgs":true,"family":"Gober","given":"Pete","email":"","affiliations":[],"preferred":false,"id":723652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155090,"text":"70155090 - 2010 - Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2015-07-29T11:45:17","indexId":"70155090","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","docAbstract":"The Allegheny River in Pennsylvania supports a large and diverse freshwater-mussel community, including two federally listed endangered species, Pleurobema clava(Clubshell) and Epioblasma torulosa rangiana (Northern Riffleshell). It is recognized that river hydraulics and morphology play important roles in mussel distribution. To assess the hydraulic influences of bridge replacement on mussel habitat, metrics such as depth, velocity, and their derivatives (shear stress, Froude number) were collected or computed.
\nThe objectives of the project were to evaluate mussel and hydraulic data at a reference site and to compare those findings to a bridge-replacement site. The findings were used to support a statistical analysis, which establishes correlations between mussel count and hydraulics, and a numerical model to forecast habitat based on the statistics.
\nArcGIS was selected to manage the data and generate a grid to compute area statistics for 3319, 4.9-m × 4.9-m cells (cell) for total mussel count, depth, velocity, shear stress, and Froude number. The Wilcoxon Rank Sum test indicated no statistical significance between the total mussel count and the hydraulic variables; however, trellis graphs were used to account for the spatial variability in the data set. For the flow conditions measured, the total mussel count per cell is greatest at sections where (1) velocities range from 0.061 to 0.21 m/s, (2) shear stresses range from 0.48 to 3.8 dyne/cm2, and (3) Froude numbers range from 0.006 to 0.04.
\nBased on the statistical targets established, the hydraulic model results suggest that an additional 2428 m2 or a 30-percent increase in suitable mussel habitat could be generated at the replacement-bridge site when compared to the baseline condition associated with the existing bridge at that same location. The study did not address the influences of substrate, acid mine drainage, sediment loads from tributaries, and surface-water/ground-water exchange on mussel habitat. Future studies could include methods for quantifying (1) channel–substrate composition and distribution using tools such as hydroacoustic echosounders specifically designed and calibrated to identify bed composition and mussel populations, (2) surface-water and ground-water interactions, and (3) a high-streamflow event.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2009.10.019","usgsCitation":"Fulton, J.W., Wagner, C., Rogers, M.E., and Zimmerman, G.F., 2010, Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA: Ecological Modelling, v. 221, no. 3, p. 540-554, https://doi.org/10.1016/j.ecolmodel.2009.10.019.","productDescription":"15 p.","startPage":"540","endPage":"554","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-004383","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":306228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"East Brady, Foxburg","otherGeospatial":"Allegheny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.68847274780273,\n 41.125530139647516\n ],\n [\n -79.68847274780273,\n 41.14628070081167\n ],\n [\n -79.67465400695801,\n 41.14628070081167\n ],\n [\n -79.67465400695801,\n 41.125530139647516\n ],\n [\n -79.68847274780273,\n 41.125530139647516\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.61852073669434,\n 40.98705774892777\n ],\n [\n -79.61852073669434,\n 40.993180115976074\n ],\n [\n -79.61195468902588,\n 40.993180115976074\n ],\n [\n -79.61195468902588,\n 40.98705774892777\n ],\n [\n -79.61852073669434,\n 40.98705774892777\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"221","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b98fbee4b08f6647be5179","contributors":{"authors":[{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Megan E. mrogers@usgs.gov","contributorId":2300,"corporation":false,"usgs":true,"family":"Rogers","given":"Megan","email":"mrogers@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":564792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Gregory F.","contributorId":145619,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Gregory","email":"","middleInitial":"F.","affiliations":[{"id":16176,"text":"EnviroScience, Inc.","active":true,"usgs":false}],"preferred":false,"id":564793,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043287,"text":"70043287 - 2010 - A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada","interactions":[],"lastModifiedDate":"2013-02-14T11:42:40","indexId":"70043287","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Remote Sensing Society","doi":"10.5589/m10-015","usgsCitation":"Ji, L., Wylie, B.K., Ramachandran, B., and Jenkerson, C.B., 2010, A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada: Canadian Journal of Remote Sensing, v. 36, no. S1, p. S149-S167, https://doi.org/10.5589/m10-015.","startPage":"S149","endPage":"S167","ipdsId":"IP-013899","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":267379,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-015"},{"id":267380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"36","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"511e1572e4b071e86a19a417","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":473287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Bhaskar bhaskar@usgs.gov","contributorId":3334,"corporation":false,"usgs":true,"family":"Ramachandran","given":"Bhaskar","email":"bhaskar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","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":473286,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204952,"text":"70204952 - 2010 - Invasion and production of New Zealand mud snails in the Colorado River, Glen Canyon","interactions":[],"lastModifiedDate":"2019-08-26T13:51:49","indexId":"70204952","displayToPublicDate":"2010-01-30T13:27:17","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasion and production of New Zealand mud snails in the Colorado River, Glen Canyon","docAbstract":"Species invasions are often associated with large-scale human alteration of ecosystems. One classic example is the increasing dominance of non-native taxa below and above dams on large rivers. These dams substantially alter the physical template of river ecosystems, and exotic taxa often proliferate with potentially large impacts on coexisting taxa and ecosystem processes. Here we document the invasion of New Zealand mud snails (Potamopyrgus antipodarum) in the Colorado River directly below Lake Powell in Glen Canyon, Arizona, USA. We also quantified the magnitude and variability in growth and secondary production of P. antipodarum during 2006–2007 to gain a functional measure of their role in the ecosystem. Snails were first detected in Glen Canyon in 1995, and have since become a dominant component of the invertebrate fauna. Throughout the invasion of P. antipodarum, biomass of other dominant taxa was variable and did not appear to be positively or negatively influenced by the presence of P. antipodarum. Specific growth rates of P. antipodarum were moderate (0.001–0.030 day−1) and strongly related to body size. Mean annual habitat-weighted biomass and production were relatively high (biomass: 4.4 g/m2; secondary production: 13.3 g m−2 year−1) and similar among habitats. Mean monthly biomass and daily secondary production were much more variable, with highest values occurring in autumn. We show that invasion of a productive aquatic consumer to a highly disturbed river ecosystem had little detectable influence on the biomass of other invertebrate taxa. However, additional research will be necessary to fully understand and predict effects of P. antipodarum on coexisting taxa.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-010-9694-y","usgsCitation":"Cross, W.F., E.J. Rosi-Marshall, Behn, K.E., Kennedy, T.A., Hall, R.O., Fuller, A.E., and Baxter, C.V., 2010, Invasion and production of New Zealand mud snails in the Colorado River, Glen Canyon: Biological Invasions, v. 12, p. 3033-3043, https://doi.org/10.1007/s10530-010-9694-y.","productDescription":"11 p.","startPage":"3033","endPage":"3043","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":366920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.61199569702147,\n 36.855449936136495\n ],\n [\n -111.60701751708984,\n 36.84542235844878\n ],\n [\n -111.58641815185547,\n 36.860806596104624\n ],\n [\n -111.57388687133789,\n 36.836217807706035\n ],\n [\n -111.53852462768555,\n 36.84226271217676\n ],\n [\n -111.5357780456543,\n 36.8510544475565\n ],\n [\n -111.5606689453125,\n 36.87096948294452\n ],\n [\n -111.55105590820312,\n 36.86945886908651\n ],\n [\n -111.53869628906249,\n 36.875775782851\n ],\n [\n -111.51844024658203,\n 36.87316668614118\n ],\n [\n -111.50968551635742,\n 36.88016984953669\n ],\n [\n -111.51329040527344,\n 36.886485877468054\n ],\n [\n -111.52427673339844,\n 36.888819929485535\n ],\n [\n -111.52050018310547,\n 36.89321324558284\n ],\n [\n -111.52015686035156,\n 36.898292702118674\n ],\n [\n -111.50075912475586,\n 36.898567257706354\n ],\n [\n -111.49801254272461,\n 36.90021457048955\n ],\n [\n -111.49681091308594,\n 36.91339179255025\n ],\n [\n -111.49063110351561,\n 36.915176033061535\n ],\n [\n -111.48204803466797,\n 36.91956783187691\n ],\n [\n -111.47741317749023,\n 36.926155055871995\n ],\n [\n -111.47638320922852,\n 36.929997340388006\n ],\n [\n -111.48015975952147,\n 36.936446454024114\n ],\n [\n -111.48771286010741,\n 36.93438828555439\n ],\n [\n -111.48427963256836,\n 36.928625118149235\n ],\n [\n -111.49080276489258,\n 36.92121469122741\n ],\n [\n -111.5035057067871,\n 36.918058179561115\n ],\n [\n -111.50299072265625,\n 36.90543082637056\n ],\n [\n -111.50522232055664,\n 36.904058162027646\n ],\n [\n -111.52410507202148,\n 36.903509089375774\n ],\n [\n -111.52976989746092,\n 36.893762392316596\n ],\n [\n -111.53217315673828,\n 36.887858857884986\n ],\n [\n -111.53148651123047,\n 36.88360253822406\n ],\n [\n -111.51998519897461,\n 36.880444470310294\n ],\n [\n -111.53474807739256,\n 36.88236678807325\n ],\n [\n -111.55088424682617,\n 36.878934043834306\n ],\n [\n -111.55294418334961,\n 36.87605041942542\n ],\n [\n -111.56599044799803,\n 36.877148955847844\n ],\n [\n -111.57302856445312,\n 36.87302936279296\n ],\n [\n -111.54848098754883,\n 36.84816977081983\n ],\n [\n -111.54916763305663,\n 36.84597184882088\n ],\n [\n -111.55929565429688,\n 36.84816977081983\n ],\n [\n -111.566162109375,\n 36.84624659252608\n ],\n [\n -111.57440185546875,\n 36.86382813609629\n ],\n [\n -111.58143997192381,\n 36.869596198853394\n ],\n [\n -111.59088134765625,\n 36.86863488530103\n ],\n [\n -111.61199569702147,\n 36.855449936136495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2010-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Cross, Wyatt F.","contributorId":70881,"corporation":false,"usgs":true,"family":"Cross","given":"Wyatt","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":769240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"E.J. Rosi-Marshall","contributorId":141018,"corporation":false,"usgs":false,"family":"E.J. Rosi-Marshall","affiliations":[{"id":13654,"text":"Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":769241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behn, Katherine E.","contributorId":35033,"corporation":false,"usgs":true,"family":"Behn","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":769242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Robert O","contributorId":198078,"corporation":false,"usgs":false,"family":"Hall","given":"Robert","email":"","middleInitial":"O","affiliations":[],"preferred":false,"id":769244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, A. Elizabeth","contributorId":218434,"corporation":false,"usgs":false,"family":"Fuller","given":"A.","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":769245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baxter, C. V.","contributorId":62853,"corporation":false,"usgs":true,"family":"Baxter","given":"C.","email":"","middleInitial":"V.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":769246,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98161,"text":"ofr20081288 - 2010 - Geophysical Data Collected off the South Shore of Martha's Vineyard, Massachusetts","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ofr20081288","displayToPublicDate":"2010-01-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1288","title":"Geophysical Data Collected off the South Shore of Martha's Vineyard, Massachusetts","docAbstract":"The U.S. Geological Survey Woods Hole Science Center conducted a nearshore geophysical survey offshore of the southern coast of Martha's Vineyard, in the vicinity of the Martha's Vineyard Coastal Observatory in 2007. This mapping program was part of a larger research effort supporting the Office of Naval Research Ripples Directed-Research Initiative studies at Martha's Vineyard Coastal Observatory designed to improve our understanding of coastal sediment-transport processes. The survey was conducted aboard the Megan T. Miller August 9-13, 2007. The study area covers 35 square kilometers from about 0.2 kilometers to 5 kilometers offshore of the south shore of Martha's Vineyard, and ranges in depth from ~6 to 24 meters. The geophysical mapping utilized the following suite of high-resolution instrumentation to map the surficial sediment distribution, bathymetry, and sub-surface geology: a dual-frequency 100/500 kilohertz sidescan-sonar system, 234 kilohertz interferometric sonar, and 500 hertz -12 kilohertz chirp subbottom profiler. These geophysical data will be used to provide initial conditions for wave and circulation modeling within the study area.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081288","collaboration":"Prepared in cooperation with the Office of Naval Research (ONR)","usgsCitation":"Denny, J.F., Danforth, W.W., Foster, D., and Sherwood, C.R., 2010, Geophysical Data Collected off the South Shore of Martha's Vineyard, Massachusetts: U.S. Geological Survey Open-File Report 2008-1288, https://doi.org/10.3133/ofr20081288.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":125879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1288.jpg"},{"id":13404,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1288/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.52334594726562, 41.30305671691895], [-70.58262634277344, 41.30154228210448], [-70.59637451171875, 41.303667068481424], [-70.60011672973634, 41.31963920593262], [-70.59972000122072, 41.34617042541502], [-70.58935737609863, 41.347505569458015], [-70.53082656860352, 41.3460063934326], [-70.51131057739256, 41.34338188171386], [-70.51148986816406, 41.3034610748291], [-70.52334594726562, 41.30305671691895]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.60011672973634, 41.30154228210448, -70.51120185852051, 41.347505569458015], \"type\": \"Feature\", \"id\": \"3091902\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c480","contributors":{"authors":[{"text":"Denny, J. F.","contributorId":13653,"corporation":false,"usgs":true,"family":"Denny","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":304500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, W. W.","contributorId":16386,"corporation":false,"usgs":true,"family":"Danforth","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":304501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, D.S.","contributorId":30641,"corporation":false,"usgs":true,"family":"Foster","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":304502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":304503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98159,"text":"fs20103002 - 2010 - Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","interactions":[],"lastModifiedDate":"2021-11-04T18:14:32.80229","indexId":"fs20103002","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3002","title":"Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","docAbstract":"This fact sheet highlights findings from the vulnerability study of a public-supply well in Woodbury, Connecticut. The well typically produces water at the rate of 72 gallons per minute from the glacial aquifer system in the Pomperaug River Basin. Water samples were collected at the public-supply well and at monitoring wells installed in or near the simulated zone of contribution to the supply well. Samples of untreated water from the public-supply wellhead contained several types of undesirable constituents, including 11 volatile organic compounds (VOCs), nitrate, pesticides, uranium, and radon. Most of these constituents were detected at concentrations below drinking-water standards, where such standards exist. Only concentrations of the VOC trichlorethylene exceeded the Maximum Contaminant Level (MCL) of 5 micrograms per liter (ug/L) established by U.S. Environmental Protection Agency for drinking water. Radon concentrations exceeded a proposed-but not finalized-MCL of 300 picocuries per liter (pCi/L). \n\nOverall, the study findings point to four main factors that affect the movement and fate of contaminants and the vulnerability of the public-supply well in Woodbury: (1) groundwater age (how long ago water entered, or recharged, the aquifer); (2) the percentage of recharge received through urban areas; (3) the percentage of recharge received through dry wells and their proximity to the public-supply well; and (4) natural geochemical processes occurring within the aquifer system; that is, processes that affect the amounts and distribution of chemical substances in aquifer sediments and groundwater.\n\nA computer-model simulation of groundwater flow to the public-supply well was used to estimate the age of water particles entering the well along the length of the well screen. About 90 percent of the simulated flow to the well consists of water that entered the aquifer 9 or fewer years ago. Such young water is vulnerable to contaminants resulting from human activities, as indicated by the solvents, fuel components, road salt, and septic-system leachate that were detected in the glacial aquifer system during the current study. Age-dating combined with chemical modeling suggests that less than 2 percent of water produced by the public-supply well is water from the deep bedrock that is \"old\" (water that recharged, or entered, the aquifer before 1952). Such a small percentage of old groundwater entering the public-supply well offers little potential for dilution of young waters containing contaminants from human activities. \n\nShallow groundwater that originated as recharge through urban areas generally had higher median concentrations and more detections of volatile organic compounds (VOCs) than did groundwater from the deep glacial deposits or fractured bedrock that originated mainly as recharge through agricultural and undeveloped land. Shallow groundwater was also found to be affected by road salt and septic-system leachate. A chemical mixing model indicates that up to 15 percent of nitrate in water from the supply well is likely from septic-system leachate.\n\nThe Connecticut Department of Public Health has identified several potential sources of contamination in the commercial area of Woodbury (several light industrial or commercial properties where hazardous materials and petroleum products are used and stored). To reduce stormwater runoff in the commercial area, water from the parking lots and pavement is channeled into dry wells-drains that shunt water directly into the aquifer system, bypassing the soil and unsaturated zones. A computer-model simulation of groundwater flow indicates that approximately 16 percent of the water produced by the public-supply well is derived from runoff captured by these drains. Traveltime for water from the dry wells to the public-supply well ranges from about 1.5 to less than 4 years. Dry wells have the potential to enhance contaminant movement to the supply well, suggesting that stormwater-control methods cannot be considered separately from groundwater quality—they are linked. \n\nWater-quality protection in this setting depends on the entire community. If residents and businesses take steps to reduce input of manmade contaminants to groundwater, a positive effect on quality of the supply-well water might begin to be seen in less than 10 years, owing to the short residence time of water in the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103002","usgsCitation":"Jagucki, M.L., Brown, C., Starn, J.J., and Eberts, S., 2010, Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut: U.S. Geological Survey Fact Sheet 2010-3002, 6 p., https://doi.org/10.3133/fs20103002.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":125804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3002.jpg"},{"id":13402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3002/","linkFileType":{"id":5,"text":"html"}},{"id":391387,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91356.htm"}],"country":"United States","state":"Connecticut","city":"Woodbury","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.25202941894531,\n 41.49314949080981\n ],\n [\n -73.13529968261719,\n 41.49314949080981\n ],\n [\n -73.13529968261719,\n 41.57127917558171\n ],\n [\n -73.25202941894531,\n 41.57127917558171\n ],\n [\n -73.25202941894531,\n 41.49314949080981\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a82","contributors":{"authors":[{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":304492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":304491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98158,"text":"ofr20101019 - 2010 - USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake","interactions":[],"lastModifiedDate":"2019-07-17T16:35:06","indexId":"ofr20101019","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1019","title":"USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake","docAbstract":"Using calculated stress changes to faults surrounding the January 12, 2010, rupture on the Enriquillo Fault, and the current (January 12 to 26, 2010) aftershock productivity, scientists from the U.S. Geological Survey (USGS), Woods Hole Oceanographic Institution (WHOI), and Disaster Prevention Research Institute, Kyoto University (DPRI) have made rough estimates of the chance of a magnitude (Mw)=7 earthquake occurring during January 27 to February 22, 2010, in Haiti. The probability of such a quake on the Port-au-Prince section of the Enriquillo Fault is about 2 percent, and the probability for the section to the west of the January 12, 2010, rupture is about 1 percent. The stress changes on the Septentrional Fault in northern Haiti are much smaller, although positive.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101019","collaboration":"IPPA: men10-9939-7373 ","usgsCitation":"Lin, J., Stein, R.S., Sevilgen, V., and Toda, S., 2010, USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake: U.S. Geological Survey Open-File Report 2010-1019, iii, 7 p., https://doi.org/10.3133/ofr20101019.","productDescription":"iii, 7 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-12","temporalEnd":"2010-02-22","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":13401,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1019/","linkFileType":{"id":5,"text":"html"}},{"id":125821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1019.jpg"}],"country":"Haiti","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,18 ], [ -74,20.5 ], [ -71.5,20.5 ], [ -71.5,18 ], [ -74,18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e1e4b07f02db5e4860","contributors":{"authors":[{"text":"Lin, Jian","contributorId":16930,"corporation":false,"usgs":true,"family":"Lin","given":"Jian","email":"","affiliations":[],"preferred":false,"id":304487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":304485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sevilgen, Volkan vsevilgen@usgs.gov","contributorId":3254,"corporation":false,"usgs":true,"family":"Sevilgen","given":"Volkan","email":"vsevilgen@usgs.gov","affiliations":[],"preferred":true,"id":304486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":304488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98150,"text":"pp1771 - 2010 - Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","interactions":[],"lastModifiedDate":"2023-04-11T20:32:33.540345","indexId":"pp1771","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","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":"1771","title":"Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","docAbstract":"Contaminants introduced into the subsurface of the Nevada Test Site by underground nuclear testing are of concern to the U.S. Department of Energy and regulators responsible for protecting human health and safety. The potential for contaminant movement away from the underground test areas and into the accessible environment is greatest by groundwater transport. The primary hydrologic control on this transport is evaluated and examined through a series of contour maps developed to represent the hydraulic-head distribution within each of the major aquifers underlying the area. Aquifers were identified and their extents delineated by merging and analyzing multiple hydrostratigraphic framework models developed by other investigators from existing geologic information. A map of the hydraulic-head distribution in each major aquifer was developed from a detailed evaluation and assessment of available water-level measurements. Multiple spreadsheets that accompany this report provide pertinent water-level and geologic data by well or drill hole.
Aquifers are mapped and discussed in general terms as being one of two types: alluvial–volcanic, or carbonate. Both aquifer types are subdivided and mapped as independent regional and local aquifers, based on the continuity of their component rock. Groundwater-flow directions, approximated from potentiometric contours that were developed from the hydraulic-head distribution, are indicated on the maps and discussed for each of the regional aquifers and for selected local aquifers. Hydraulic heads vary across the study area and are interpreted to range in altitude from greater than 5,000 feet in a regional alluvial–volcanic aquifer beneath a recharge area in the northern part of the study area to less than 2,300 feet in regional alluvial–volcanic and carbonate aquifers in the southwestern part of the study area. Flow directions throughout the study area are dominantly south-southwest with some local deviations. Vertical hydraulic gradients between aquifer types are downward throughout most of the study area; however, flow from the alluvial–volcanic aquifer into the underlying carbonate aquifer, where both aquifers are present, is believed to be minor because of an intervening confining unit. Limited exchange of water between aquifer types occurs by diffuse flow through the confining unit, by focused flow along fault planes, or by direct flow where the confining unit is locally absent.
Interflow between regional aquifers is evaluated and mapped to define major flow paths. These flow paths delineate tributary flow systems, which converge to form intermediate and regional flow systems. The implications of these flow systems in controlling transport of radionuclides away from the underground test areas at the Nevada Test Site are briefly discussed. Additionally, uncertainties in the delineation of aquifers, the development of potentiometric contours, and the identification of flow systems are identified and evaluated.
Eleven tributary flow systems and three larger flow systems are mapped in the Nevada Test Site area. Flow systems within the alluvial–volcanic aquifer dominate the western half of the study area, whereas flow systems within the carbonate aquifer are most prevalent in the southeastern half of the study area. Most of the flow in the regional alluvial–volcanic aquifer that moves through the underground testing area on Pahute Mesa is discharged to the land surface at springs and seeps in Oasis Valley. Flow in the regional carbonate aquifer is internally compartmentalized by major geologic structures, primarily thrust faults, which constrain flow into separate corridors. Contaminants that reach the regional carbonate aquifer from testing areas in Yucca and Frenchman Flats flow toward downgradient discharge areas through the Alkali Flat–Furnace Creek Ranch or Ash Meadows flow systems and their tributaries.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1771","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-A152-07NA28100U.","usgsCitation":"Fenelon, J.M., Sweetkind, D., and Laczniak, R.J., 2010, Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures: U.S. Geological Survey Professional Paper 1771, Report: vi, 54 p.; 3 Appendices; 6 Plates: 36.00 x 48.00 inches, https://doi.org/10.3133/pp1771.","productDescription":"Report: vi, 54 p.; 3 Appendices; 6 Plates: 36.00 x 48.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1771.jpg"},{"id":13393,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1771/","linkFileType":{"id":5,"text":"html"}},{"id":415600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91048.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator Projection","country":"United States","state":"Nevada","otherGeospatial":"Nevada Test Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.7861,\n 36.5733\n ],\n [\n -116.7861,\n 37.3853\n ],\n [\n -115.8333,\n 37.3853\n ],\n [\n -115.8333,\n 36.5733\n ],\n [\n -116.7861,\n 36.5733\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db65a09d","contributors":{"authors":[{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":304458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98133,"text":"pp17652 - 2010 - Methodology of a combined regional metallogenic and tectonic analysis for northeast Asia, Chapter 2 in Metallogenesis and tectonics of northeast Asia","interactions":[],"lastModifiedDate":"2012-11-28T13:20:36","indexId":"pp17652","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","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":"1765-2","title":"Methodology of a combined regional metallogenic and tectonic analysis for northeast Asia, Chapter 2 in Metallogenesis and tectonics of northeast Asia","docAbstract":"The major purposes of this chapter are to provide (1) an overview of the regional geology, tectonics, and metallogenesis of Northeast Asia for readers who are unfamiliar with the region, (2) a general scientific introduction to the succeeding chapters of this volume, and (3) an overview of the methodology of metallogenic and tectonic analysis used in this study. We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \n\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \n\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). These studies have produced two broad types of publications (1) a series of regional geologic, mineral-deposit, and metallogenic-belt maps, with companion descriptions of the region, and (2) a suite of metallogenic and tectonic analyses of the same region. \n\nThe study area consists of eastern Russia (most of eastern Siberia and the Russian Far East), Mongolia, northern China, South Korea, Japan, and adjacent offshore areas. The major cooperative agencies are the Russian Academy of Sciences; the Academy of Sciences of the Sakha Republic (Yakutia); VNIIOkeangeologia and Ministry of Natural Resources of the Russian Federation; the Mongolian Academy of Sciences; the Mongolian University of Science and Technology; the Mongolian National University; Jilin University, Changchun, People?s Republic of China, the China Geological Survey; the Korea Institute of Geosciences and Mineral Resources; the Geological Survey of Japan/AIST; the University of Texas, Arlington, and the U.S. Geological Survey (USGS). \n\nThis study builds on and extends the data and interpretations from a previous project on the Major Mineral Deposits, Metallogenesis, and Tectonics of the Russian Far East, Alaska, and the Canadian Cordillera conducted by the USGS, the Russian Academy of Sciences, the Alaska Division of Geological and Geophysical Surveys, and the Geological Survey of Canada. The major products of this project were summarized by Naumova and others (2006) and are described in appendix A.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Metallogenesis and tectonics of northeast Asia (PP 1765)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp17652","collaboration":"This report is Chapter 2 in Metallogenesis and tectonics of northeast Asia. For more information, see: Professional Paper 1765.","usgsCitation":"Nokleberg, W.J., Bundtzen, T., Dawson, K.M., Eremin, R.A., Goryachev, N., Khanchuk, A.I., Monger, J.W., Obolenskiy, A., Parfenov, L.M., Prokopiev, A.V., Ratkin, V.V., Rodionov, S.M., and Shpikerman, V.I., 2010, Methodology of a combined regional metallogenic and tectonic analysis for northeast Asia, Chapter 2 in Metallogenesis and tectonics of northeast Asia: U.S. Geological Survey Professional Paper 1765-2, 18 p., https://doi.org/10.3133/pp17652.","productDescription":"18 p.","onlineOnly":"N","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1765_2.jpg"},{"id":13375,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1765/index.html","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75,3 ], [ 75,8.333333333333334 ], [ 144,8.333333333333334 ], [ 144,3 ], [ 75,3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65dab4","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":304304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Kenneth M.","contributorId":97525,"corporation":false,"usgs":true,"family":"Dawson","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eremin, Roman A.","contributorId":105759,"corporation":false,"usgs":true,"family":"Eremin","given":"Roman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goryachev, Nikolai A.","contributorId":7318,"corporation":false,"usgs":true,"family":"Goryachev","given":"Nikolai A.","affiliations":[],"preferred":false,"id":304295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Khanchuk, Alexander I.","contributorId":19585,"corporation":false,"usgs":true,"family":"Khanchuk","given":"Alexander","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monger, James W.H.","contributorId":53900,"corporation":false,"usgs":true,"family":"Monger","given":"James","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":304300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Obolenskiy, Alexander A.","contributorId":19632,"corporation":false,"usgs":true,"family":"Obolenskiy","given":"Alexander A.","affiliations":[],"preferred":false,"id":304297,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parfenov, Leonid M.","contributorId":59112,"corporation":false,"usgs":true,"family":"Parfenov","given":"Leonid","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prokopiev, Andrei V.","contributorId":20825,"corporation":false,"usgs":true,"family":"Prokopiev","given":"Andrei","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":304298,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ratkin, Vladimir V.","contributorId":79924,"corporation":false,"usgs":true,"family":"Ratkin","given":"Vladimir","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":304303,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rodionov, Sergey M.","contributorId":64726,"corporation":false,"usgs":true,"family":"Rodionov","given":"Sergey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304302,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shpikerman, Vladimir I.","contributorId":35766,"corporation":false,"usgs":true,"family":"Shpikerman","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304299,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":98144,"text":"pp1765 - 2010 - Metallogenesis and Tectonics of Northeast Asia","interactions":[{"subject":{"id":80578,"text":"ofr20071183A - 2007 - Introduction to Regional Geology, Tectonics, and Metallogenesis of Northeast Asia","indexId":"ofr20071183A","publicationYear":"2007","noYear":false,"chapter":"A","title":"Introduction to Regional Geology, Tectonics, and Metallogenesis of Northeast Asia"},"predicate":"SUPERSEDED_BY","object":{"id":98144,"text":"pp1765 - 2010 - Metallogenesis and Tectonics of Northeast Asia","indexId":"pp1765","publicationYear":"2010","noYear":false,"title":"Metallogenesis and Tectonics of Northeast Asia"},"id":1}],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"pp1765","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","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":"1765","title":"Metallogenesis and Tectonics of Northeast Asia","docAbstract":"The major purposes of this chapter are to provide (1) an overview of the regional geology, tectonics, and metallogenesis of Northeast Asia for readers who are unfamiliar with the region, (2) a general scientific introduction to the succeeding chapters of this volume, and (3) an overview of the methodology of metallogenic and tectonic analysis used in this study. We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \r\n\r\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \r\n\r\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). These studies have produced two broad types of publications (1) a series of regional geologic, mineral-deposit, and metallogenic-belt maps, with companion descriptions of the region, and (2) a suite of metallogenic and tectonic analyses of the same region. \r\n\r\nThe study area consists of eastern Russia (most of eastern Siberia and the Russian Far East), Mongolia, northern China, South Korea, Japan, and adjacent offshore areas. The major cooperative agencies are the Russian Academy of Sciences; the Academy of Sciences of the Sakha Republic (Yakutia); VNIIOkeangeologia and Ministry of Natural Resources of the Russian Federation; the Mongolian Academy of Sciences; the Mongolian University of Science and Technology; the Mongolian National University; Jilin University, Changchun, People's Republic of China, the China Geological Survey; the Korea Institute of Geosciences and Mineral Resources; the Geological Survey of Japan/AIST; the University of Texas, Arlington, and the U.S. Geological Survey (USGS). \r\n\r\nThis study builds on and extends the data and interpretations from a previous project on the Major Mineral Deposits, Metallogenesis, and Tectonics of the Russian Far East, Alaska, and the Canadian Cordillera conducted by the USGS, the Russian Academy of Sciences, the Alaska Division of Geological and Geophysical Surveys, and the Geological Survey of Canada. The major products of this project were summarized by Naumova and others (2006) and are described in appendix A. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1765","collaboration":"Prepared in collaboration with the Russian Academy of Sciences, Mongolian Academy of Sciences, Korean Institute of Geosciences and Mineral Resources, Geological Survey of Japan/AIST, and Jilin University","usgsCitation":"2010, Metallogenesis and Tectonics of Northeast Asia (Supersedes USGS Open-File Report 2007-1183): U.S. Geological Survey Professional Paper 1765, iv, 630 p., https://doi.org/10.3133/pp1765.","productDescription":"iv, 630 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1765.jpg"},{"id":13387,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1765/index.html","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75,30 ], [ 75,82 ], [ 144,82 ], [ 144,30 ], [ 75,30 ] ] ] } } ] }","edition":"Supersedes USGS Open-File Report 2007-1183","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e808","contributors":{"editors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":505744,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ]}