No abstract available.
More than 33,000 salmon and steelhead died in the lower Klamath River in late September 2002 on their way to spawning areas upstream. According to the California Department of Fish and Game, the cause of death was infection by protozoan and bacterial pathogens. Two factors that may have contributed to the disease incidence are low streamflow and high water temperature.
\nSeptember streamflows throughout the Klamath Basin were low, among the four lowest September flows recorded on the main stem since 1960. The low streamflows were caused by below-average snowpack and long-term drought, with resulting reduced ground-water discharge to streams.
\nOn the basis of historical climate data from the Klamath Basin and historical water temperature data from an adjacent basin, September 2002 water temperatures were above the long-term average. Temperatures in the Klamath River above the fish die-off reach exceeded 65 degrees Fahrenheit for nearly all of September; multiple days of exposure by fish to temperatures at or above that level can greatly increase disease incidence.
\nThis report characterizes streamflow and water temperature conditions during the period leading up to the die-off and compares them to historical conditions in the Klamath River. This report is not an exploration of the causative mechanism of the die-off; rather, it is intended to provide detailed documentation of these conditions to be used by those examining the cause(s) of the die-off and to provide information that can contribute to decisions about future water management in the Klamath Basin.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034099","usgsCitation":"Lynch, D.D. and Risley, J.C., 2003, Klamath River Basin hydrologic conditions prior to the September 2002\ndie-off of salmon and steelhead: U.S. Geological Survey Water-Resources Investigations Report 03–4099, 10 p.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":161564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4069,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4099/wri03-4099.pdf","text":"Report","size":"880 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PDF of report"}],"contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
We developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery. The sub-pixel percent imperviousness was mapped for two dates (09 March 1993 and 11 March 2001) over western Georgia using a regression tree algorithm. The accuracy of the predicted imperviousness was reasonable based on a comparison using independent reference data. The average absolute error between predicted and reference data was 16.4 percent for 1993 and 15.3 percent for 2001. The correlation coefficient (r) was 0.73 for 1993 and 0.78 for 2001, respectively. Areas with a significant increase (greater than 20 percent) in impervious surface from 1993 to 2001 were mostly related to known land-cover/land-use changes that occurred in this area, suggesting that the spatial change of an impervious surface is a useful indicator for identifying spatial extent, intensity, and, potentially, type of urban land-cover/land-use changes. Compared to other pixel-based change-detection methods (band differencing, rationing, change vector, post-classification), information on changes in sub-pixel percent imperviousness allow users to quantify and interpret urban land-cover/land-use changes based on their own definition. Such information is considered complementary to products generated using other change-detection methods. In addition, the procedure for mapping imperviousness is objective and repeatable, hence, can be used for monitoring urban land-cover/land-use change over a large geographic area. Potential applications and limitations of the products developed through this study in urban environmental studies are also discussed.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.69.9.1003","usgsCitation":"Yang, L., Xian, G.Z., Klaver, J.M., and Deal, B., 2003, Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data: Photogrammetric Engineering and Remote Sensing, v. 69, no. 9, p. 1003-1010, https://doi.org/10.14358/PERS.69.9.1003.","productDescription":"8 p.","startPage":"1003","endPage":"1010","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.69.9.1003","text":"Publisher Index Page"},{"id":310794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563496bfe4b048076348009b","contributors":{"authors":[{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":578755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Jacqueline M.","contributorId":25423,"corporation":false,"usgs":true,"family":"Klaver","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":578756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deal, Brian","contributorId":149537,"corporation":false,"usgs":false,"family":"Deal","given":"Brian","email":"","affiliations":[],"preferred":false,"id":578757,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":50887,"text":"wri034086 - 2003 - Changes in streamflow and summary of major-ion chemistry and loads in the North Fork Red River basin upstream from Lake Altus, northwestern Texas and western Oklahoma, 1945-1999","interactions":[],"lastModifiedDate":"2017-06-14T16:42:36","indexId":"wri034086","displayToPublicDate":"2003-09-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4086","title":"Changes in streamflow and summary of major-ion chemistry and loads in the North Fork Red River basin upstream from Lake Altus, northwestern Texas and western Oklahoma, 1945-1999","docAbstract":"Upstream from Lake Altus, the North Fork Red River drains an area of 2,515 square miles. The quantity and quality of surface water are major concerns at Lake Altus, and water-resource managers and consumers need historical information to make informed decisions about future development. The Lugert-Altus Irrigation District relies on withdrawals from the lake to sustain nearly 46,000 acres of agricultural land.
Kendall's tau tests of precipitation data indicated no statistically significant trend over the entire 100 years of available record. However, a significant increase in precipitation occurred in the last 51 years. Four streamflow-gaging stations with more than 10 years of record were maintained in the basin. These stations recorded no significant trends in annual streamflow volume. Two stations, however, had significant increasing trends in the base-flow index, and three had significant decreasing trends in annual peak flows.
Major-ion chemistry in the North Fork Red River is closely related to the chemical composition of the underlying bedrock. Two main lithologies are represented in the basin upstream from Lake Altus. In the upper reaches, young and poorly consolidated sediments include a range of sizes from coarse gravel to silt and clay. Nearsurface horizons commonly are cemented as calcium carbonate caliche. Finer-grained gypsiferous sandstones and shales dominate the lower reaches of the basin. A distinct increase in dissolved solids, specifically sodium, chloride, calcium, and sulfate, occurs as the river flows over rocks that contain substantial quantities of gypsum, anhydrite, and dolomite. These natural salts are the major dissolved constituents in the North Fork Red River.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034086","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Smith, S.J., and Wahl, K.L., 2003, Changes in streamflow and summary of major-ion chemistry and loads in the North Fork Red River basin upstream from Lake Altus, northwestern Texas and western Oklahoma, 1945-1999: U.S. Geological Survey Water-Resources Investigations Report 2003-4086, vi, 36 p., https://doi.org/10.3133/wri034086.","productDescription":"vi, 36 p.","costCenters":[],"links":[{"id":175474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":342521,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri034086/pdf/wri034086.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":4652,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034086/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"North Fork Red River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.01904296874999,\n 35.47856499535729\n ],\n [\n -102.0245361328125,\n 35.24561909420681\n ],\n [\n -101.9915771484375,\n 35.17380831799959\n ],\n [\n -101.568603515625,\n 35.15135442846945\n ],\n [\n -100.5853271484375,\n 35.14237113713991\n ],\n [\n -100.3106689453125,\n 35.106428057364255\n ],\n [\n -100.074462890625,\n 35.0254981588326\n ],\n [\n -99.88220214843749,\n 34.939985151560435\n ],\n [\n -99.5965576171875,\n 34.863397850419524\n ],\n [\n -99.3438720703125,\n 34.827332061981586\n ],\n [\n -99.0472412109375,\n 34.88142481679756\n ],\n [\n -98.975830078125,\n 35.003003395276714\n ],\n [\n -98.997802734375,\n 35.21869749632885\n ],\n [\n -99.11865234374999,\n 35.37561413174875\n ],\n [\n -99.2724609375,\n 35.53222622770337\n ],\n [\n -99.755859375,\n 35.75097043944926\n ],\n [\n -100.74462890625,\n 35.94688293218141\n ],\n [\n -101.0137939453125,\n 35.88014896488361\n ],\n [\n -101.546630859375,\n 35.67514743608467\n ],\n [\n -102.01904296874999,\n 35.47856499535729\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6c61","contributors":{"authors":[{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":242553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Kenneth L.","contributorId":61024,"corporation":false,"usgs":true,"family":"Wahl","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":242554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189341,"text":"70189341 - 2003 - Using sensitivity analysis in model calibration efforts","interactions":[],"lastModifiedDate":"2018-04-02T15:36:00","indexId":"70189341","displayToPublicDate":"2003-08-31T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using sensitivity analysis in model calibration efforts","docAbstract":"In models of natural and engineered systems, sensitivity analysis can be used to assess relations among system state observations, model parameters, and model predictions. The model itself links these three entities, and model sensitivities can be used to quantify the links. Sensitivities are defined as the derivatives of simulated quantities (such as simulated equivalents of observations, or model predictions) with respect to model parameters. We present four measures calculated from model sensitivities that quantify the observation-parameter-prediction links and that are especially useful during the calibration and prediction phases of modeling. These four measures are composite scaled sensitivities (CSS), prediction scaled sensitivities (PSS), the value of improved information (VOII) statistic, and the observation prediction (OPR) statistic. These measures can be used to help guide initial calibration of models, collection of field data beneficial to model predictions, and recalibration of models updated with new field information. Once model sensitivities have been calculated, each of the four measures requires minimal computational effort.
We apply the four measures to a three-layer MODFLOW-2000 (Harbaugh et al., 2000; Hill et al., 2000) model of the Death Valley regional ground-water flow system (DVRFS), located in southern Nevada and California. D’Agnese et al. (1997, 1999) developed and calibrated the model using nonlinear regression methods. Figure 1 shows some of the observations, parameters, and predictions for the DVRFS model. Observed quantities include hydraulic heads and spring flows. The 23 defined model parameters include hydraulic conductivities, vertical anisotropies, recharge rates, evapotranspiration rates, and pumpage. Predictions of interest for this regional-scale model are advective transport paths from potential contamination sites underlying the Nevada Test Site and Yucca Mountain.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling","conferenceDate":"August 19–21, 2003","conferenceLocation":"U.S. Nuclear Regulatory Commission Headquarters 11545 Rockville Pike, Rockville, Maryland, USA","language":"English ","publisher":"NRC","usgsCitation":"Tiedeman, C.R., and Hill, M.C., 2003, Using sensitivity analysis in model calibration efforts, chap. of Proceedings of the International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling, p. 53-56.","productDescription":"4 p. ","startPage":"53","endPage":"56","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":343589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343586,"rank":1,"type":{"id":11,"text":"Document"},"url":"ftp://brrftp.cr.usgs.gov/pub/mows/pubs/leavesley_pubs/leavesley_pdf/cp0187.pdf#page=67"}],"country":"United States ","state":"California, Nevada ","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965d256e4b0d1f9f05b76f8","contributors":{"authors":[{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70122652,"text":"70122652 - 2003 - A modern analogue for tectonic, eustatic, and climatic processes in cratonic basins: Gulf of Carpentaria, northern Australia","interactions":[],"lastModifiedDate":"2014-08-27T10:43:43","indexId":"70122652","displayToPublicDate":"2003-08-27T10:28:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1247,"text":"Climate Controls on Stratigraphy: SEPM Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"A modern analogue for tectonic, eustatic, and climatic processes in cratonic basins: Gulf of Carpentaria, northern Australia","docAbstract":"The Gulf of Carpentaria is a tropical, silled epicontinental sea and may be a modern analogue for ancient cratonic basins. For the purpose of this study, the Gulf of Carpentaria is compared to Pennsylvanian cratonic basins of the United States. During the Pennsylvanian, the North American continent moved from the Southern Hemisphere, through the Equator, into the Northern Hemisphere. Today, the Gulf of Carpentaria–New Guinea region is a few degrees south of the Equator and is moving towards it. During the Pennsylvanian, the world was subjected to major glaciations and associated sea-level changes. The island of New Guinea and the Gulf of Carpentaria have undergone similar processes during the Quaternary. A reconnaissance seismic survey of the gulf conducted by the USGS and the Australian National University (ANU), combined with oil-exploration well data, provided the first step in a systematic evaluation of a modern tropical epicontinental system. During the Cenozoic, the region was dominated by terrestrial sedimentation in a temperate climate. At the same time, carbonates were being deposited on the northern shelf edge of the Australian Plate. During the Miocene, carbonate deposition expanded southward into the gulf region. Then in the Late Miocene, carbonate sedimentation was replaced by terrigenous clastics derived from the developing Central Range of the island of New Guinea, which developed a wetter climate while moving northwards into the tropics. At least 14 basin-wide transgressive–regressive cycles are identified by channels that were eroded under subaerial conditions since about the Miocene. Comparison of the modern Gulf of Carpentaria sequences with those of the Pennsylvanian reveals many similarities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Controls on Stratigraphy: SEPM Special Publication","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/pec.03.77.0193","usgsCitation":"Edgar, N.T., Cecil, C.B., Mattick, R., de Deckker, P., and Djajadihardja, Y.S., 2003, A modern analogue for tectonic, eustatic, and climatic processes in cratonic basins: Gulf of Carpentaria, northern Australia: Climate Controls on Stratigraphy: SEPM Special Publication, v. 77, p. 193-205, https://doi.org/10.2110/pec.03.77.0193.","productDescription":"13 p.","startPage":"193","endPage":"205","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":293084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/pec.03.77.0193"}],"country":"Australia","otherGeospatial":"Gulf Of Carpentaria","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 137.03,-16.62 ], [ 137.03,-10.61 ], [ 141.69,-10.61 ], [ 141.69,-16.62 ], [ 137.03,-16.62 ] ] ] } } ] }","volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fef0c4e4b01f35f8fd6903","contributors":{"authors":[{"text":"Edgar, N. 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Blaine 0000-0002-9032-1689","orcid":"https://orcid.org/0000-0002-9032-1689","contributorId":22797,"corporation":false,"usgs":true,"family":"Cecil","given":"C.","email":"","middleInitial":"Blaine","affiliations":[],"preferred":false,"id":499553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattick, R.E.","contributorId":85162,"corporation":false,"usgs":true,"family":"Mattick","given":"R.E.","affiliations":[],"preferred":false,"id":499556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Deckker, Patrick","contributorId":69070,"corporation":false,"usgs":true,"family":"de Deckker","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":499555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Djajadihardja, Yusuf S.","contributorId":29324,"corporation":false,"usgs":true,"family":"Djajadihardja","given":"Yusuf","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":499554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179885,"text":"70179885 - 2003 - Conditions for growth and survival of bull trout in Beulah Reservoir, Oregon. Annual report 2002","interactions":[],"lastModifiedDate":"2017-01-19T14:32:31","indexId":"70179885","displayToPublicDate":"2003-08-25T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Conditions for growth and survival of bull trout in Beulah Reservoir, Oregon. Annual report 2002","docAbstract":"The Bureau of Reclamation (BOR) constructed Agency Valley Dam on the North Fork of the Malheur River in 1934-35, creating Beulah Reservoir. The project is operated and maintained by the Vale Irrigation District for irrigation and downstream flood control. There is currently no formal agreement for a minimum pool level at Beulah Reservoir, but project operators of Agency Valley Dam and BOR are considering management alternatives. Although the project is not operated for fish and wildlife values, the reservoir supports a rainbow trout Oncorhynchus mykiss fishery and also seasonally harbors an adfluvial population of bull trout Salvelinus confluentus (Oregon Department of Fish and Wildlife [ODFW], unpublished data). Bull trout were listed by the USFWS as a threatened species throughout the Columbia and Klamath river basins in 1998, and Oregon has listed the North Fork Malheur River population “Of Special Concern”.
","language":"English","publisher":"U.S. Bureau of Reclamation","usgsCitation":"Petersen, J., Kofoot, E., and Rose, B., 2003, Conditions for growth and survival of bull trout in Beulah Reservoir, Oregon. Annual report 2002, 45 p. .","productDescription":"45 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":333477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.16328048706055,\n 43.94704092173972\n ],\n [\n -118.1714344024658,\n 43.941169962996725\n ],\n [\n -118.170747756958,\n 43.929302676319814\n ],\n [\n -118.16834449768068,\n 43.91650560484078\n ],\n [\n -118.16473960876465,\n 43.909333095564016\n ],\n [\n -118.15632820129393,\n 43.90766350817876\n ],\n [\n -118.1439685821533,\n 43.91477438864446\n ],\n [\n -118.13332557678221,\n 43.932949646682616\n ],\n [\n -118.13538551330565,\n 43.940860949106984\n ],\n [\n -118.13607215881346,\n 43.944569009780324\n ],\n [\n -118.15032005310059,\n 43.94580497860898\n ],\n [\n -118.15993309020996,\n 43.94796786222348\n ],\n [\n -118.16328048706055,\n 43.94704092173972\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dedde4b01192927d9f97","contributors":{"authors":[{"text":"Petersen, J.H.","contributorId":72154,"corporation":false,"usgs":true,"family":"Petersen","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":659095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, E.E.","contributorId":89349,"corporation":false,"usgs":true,"family":"Kofoot","given":"E.E.","email":"","affiliations":[],"preferred":false,"id":659096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, B.","contributorId":68500,"corporation":false,"usgs":true,"family":"Rose","given":"B.","email":"","affiliations":[],"preferred":false,"id":659097,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047123,"text":"70047123 - 2003 - Quantifying migratory delay: A new application of survival analysis","interactions":[],"lastModifiedDate":"2023-06-30T13:27:20.524478","indexId":"70047123","displayToPublicDate":"2003-08-01T10:56:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying migratory delay: A new application of survival analysis","docAbstract":"Statistical techniques commonly used in fish passage research fail to adequately quantify delays incurred at obstacles, or the effects of modifications to those obstacles on passage rates. Analyses of telemetry data describing these effects can be misleading, particularly when passage route of some individuals is not established (e.g., because of mortality, tag failure, passage through unmonitored or alternate routes, etc.). Here, we demonstrate how event-time analysis, better known as survival analysis, can be used to quantify passage rates for any study that allows tracking of individuals through time, even when some individuals fail to pass the route or obstacle in question. We review two of the primary methods of event-time analysis (parametric and Cox's proportional hazards regression analyses) and use them in combination with logistic regression to provide unbiased estimates of delay incurred at a hydroelectric facility, as well as insights on factors affecting both rates of passage and route selection. Passage rate increased with increased depth of a surface bypass sluice gate and, among fish that passed through the turbines, with turbine flow. The data further indicate that risk of turbine passage increased with both delay and turbine flow.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/f03-086","usgsCitation":"Castro-Santos, T., and Haro, A., 2003, Quantifying migratory delay: A new application of survival analysis: Canadian Journal of Fisheries and Aquatic Sciences, v. 60, no. 8, p. 986-996, https://doi.org/10.1139/f03-086.","productDescription":"11 p.","startPage":"986","endPage":"996","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":275181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ea8705e4b03397884d39ac","contributors":{"authors":[{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":32573,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[],"preferred":false,"id":481130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alex 0000-0002-7188-9172","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":37223,"corporation":false,"usgs":true,"family":"Haro","given":"Alex","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":481131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":54009,"text":"b2172D - 2003 - Modified Arrington method for calculating reserve growth; a new model for United States oil and gas fields","interactions":[],"lastModifiedDate":"2012-02-02T00:11:53","indexId":"b2172D","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2172","chapter":"D","title":"Modified Arrington method for calculating reserve growth; a new model for United States oil and gas fields","docAbstract":"Reserve (or field) growth is an appreciation of total ultimate\r\nreserves through time and is observed throughout the productive lives of oil and gas fields in all petroleum provinces?\r\nbut most especially in mature petroleum provinces (like many in the United States) when the rate of finding new discoveries reduces to a low level. The importance of forecasting reserve growth accurately in a mature petroleum province made it necessary to develop improved growth functions,\r\nand a critical review of the original Arrington method was undertaken.\r\nA modification of the pioneering Arrington (1960) method for estimating reserve growth suggests that, as a basis for optimum reserve growth functions, cumulative growth factor smoothing produces a better match with known volume data than does annual growth factor smoothing. Cumulative growth factor smoothing is thus the basis for the building of reserve growth functions in this study. Estimates of oil and gas growth during 1992?1996 based on the modified Arrington method are closer to the actual volumes than those based on the functions from 1995 National Assessment. The new growth functions predict an average annual reserve growth of 0.42 percent per year for oil and 0.90 percent per year for gas over a 30-year (1996?2026) period.","language":"ENGLISH","doi":"10.3133/b2172D","usgsCitation":"Verma, M., 2003, Modified Arrington method for calculating reserve growth; a new model for United States oil and gas fields: U.S. Geological Survey Bulletin 2172, 14 p., https://doi.org/10.3133/b2172D.","productDescription":"14 p.","costCenters":[],"links":[{"id":174197,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5449,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/b2172-d/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699506","contributors":{"authors":[{"text":"Verma, M.K.","contributorId":90375,"corporation":false,"usgs":true,"family":"Verma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":248894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":51390,"text":"ofr03289 - 2003 - Database and map of Quaternary faults and folds of Ecuador and its offshore regions","interactions":[],"lastModifiedDate":"2012-02-02T00:11:46","indexId":"ofr03289","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2003-289","title":"Database and map of Quaternary faults and folds of Ecuador and its offshore regions","language":"ENGLISH","doi":"10.3133/ofr03289","usgsCitation":"Eguez, A., Alvarado, A., Yepes, H., Machette, M., Costa, C., and Dart, R.L., 2003, Database and map of Quaternary faults and folds of Ecuador and its offshore regions (Version 1.0): U.S. Geological Survey Open-File Report 2003-289, map, 36 by 48 inches; accompanying text (71 p.), https://doi.org/10.3133/ofr03289.","productDescription":"map, 36 by 48 inches; accompanying text (71 p.)","costCenters":[],"links":[{"id":175017,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4663,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-289/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db6742ef","contributors":{"authors":[{"text":"Eguez, Arturo","contributorId":26929,"corporation":false,"usgs":true,"family":"Eguez","given":"Arturo","email":"","affiliations":[],"preferred":false,"id":243434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarado, Alexandra","contributorId":21416,"corporation":false,"usgs":true,"family":"Alvarado","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":243433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yepes, Hugo","contributorId":54463,"corporation":false,"usgs":true,"family":"Yepes","given":"Hugo","affiliations":[],"preferred":false,"id":243437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":243435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costa, Carlos","contributorId":45759,"corporation":false,"usgs":true,"family":"Costa","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":243436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":243432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":47833,"text":"fs02103 - 2003 - Measuring and mapping the topography of the Florida Everglades for ecosystem restoration","interactions":[],"lastModifiedDate":"2021-12-02T14:54:50.068926","indexId":"fs02103","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"021-03","title":"Measuring and mapping the topography of the Florida Everglades for ecosystem restoration","docAbstract":"One of the major issues facing ecosystem restoration and management of the Greater Everglades is the availability and distribution of clean, fresh water. The South Florida ecosystem encompasses an area of approximately 28,000 square kilometers and supports a human population that exceeds 5 million and is continuing to grow. The natural systems of the Kissimmee-Okeechobee-Everglades watershed compete for water resources primarily with the region's human population and urbanization, and with the agricultural and tourism industries. Surface water flow modeling and ecological modeling studies are important means of providing scientific information needed for ecosystem restoration planning and modeling. Hydrologic and ecological models provide much-needed predictive capabilities for evaluating management options for parks, refuges, and land acquisition and for understanding the impacts of land management practices in surrounding areas. These models require various input data, including elevation data that very accurately define the topography of the Florida Everglades.","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs02103","usgsCitation":"Desmond, G.B., 2003, Measuring and mapping the topography of the Florida Everglades for ecosystem restoration: U.S. Geological Survey Fact Sheet 021-03, 4 p., https://doi.org/10.3133/fs02103.","productDescription":"4 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":122347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0021/report-thumb.jpg"},{"id":84668,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0021/report.pdf","text":"Report","size":"661 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 021-03"},{"id":4039,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2003/0021/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.8206787109375,\n 25.045792240303445\n ],\n [\n -80.2880859375,\n 25.045792240303445\n ],\n [\n -80.2880859375,\n 26.504988828743404\n ],\n [\n -81.8206787109375,\n 26.504988828743404\n ],\n [\n -81.8206787109375,\n 25.045792240303445\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
Isle Royale National Park, Michigan, is a large island in northeastern Lake Superior that became a national park in 1940 and was designated as a wilderness area in 1976. The relative isolation of Isle Royale (Figure 1), 25 kilometers out in Lake Superior from the Canadian mainland, its generally harsh climate, and its status as a wilderness national park have minimized human influence on the geochemical evolution of its landscape.
\nUSGS sampling on Isle Royale began in 1996 as part of a larger project on the geology of the Midcontinent rift in the Lake Superior region and continued through 2000. Sampling began with collecting bedrock samples to characterize the geochemistry of the volcanic rocks that make up the much of the island, as well as samples representative of the minor native copper mineralization found on the island. Preliminary results from the bedrock study indicated, among other findings, that basaltic bedrock on the island had no detectable mercury, but that there was an association between native copper mineralization and trace amounts of mercury (Cannon and Woodruff, 1999). This finding and the recognition by the National Park Service that 6 of 32 inland lakes on Isle Royale have mercury levels in game fish that exceed State of Michigan acceptable levels for human consumption (Kallemeyn, 2000) resulted in renewed sampling on the island focused more on environmental issues.
\nTo evaluate atmospheric inputs of mercury and other elements to soil geochemistry, regionally distributed samples of both soils and lichens were collected as paired samples across the entire island. At each soil sample site, three epiphytic (grows in trees) lichen species, Evernia mesomorpha, Hypogymnia plysodes, and Parmelia sucata, were always collected. At some sites Cladina rangiferina, a lichen that grows on bare bedrock and soil surfaces, was also collected. The occurrence of Cladina rangiferina on the island is somewhat limited, and so this lichen species was not collected at all sites.
\nA high density of soil samples was collected within three individual watersheds (Sargent Lake, Lake Wagejo, and Lake Richie) for a localized study that evaluated the terrestrial distribution of mercury and other elements of environmental concern. These lakes were chosen using data from Kallemeyn (2000) that showed that Sargent Lake and Lake Wagejo have high mercury in fish, whereas Lake Richie, which is similar in size to Sargent Lake, does not. As part of this study on the terrestrial contribution of mercury to lakes, long cores of lake sediments were recovered from Sargent Lake and Lake Richie using a modified Livingston piston sampler.
\nFor an ancillary study that evolved from the study on the distribution of mercury in certain watersheds, some soil samples were collected to evaluate the impact of forest fire on soil geochemistry, deliberately sampling within and outside areas on the island that burned in severe forest fires in 1936. To complete bedrock sampling on the island, rock samples from the Copper Harbor Formation, a sedimentary unit that occurs on the southeastern part of the island were collected in 1999.
\nThis report presents all the geochemical data from samples collected by the USGS during this period (Figures 1 and 2). A number of reports presenting data interpretation are in preparation
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr2003276","usgsCitation":"Woodruff, L.G., Cannon, W.F., Dicken, C.L., Bennett, J.P., and Nicholson, S.W., 2003, Bedrock, soil, and lichen geochemistry from Isle Royale National Park, Michigan (Version 1.0): U.S. Geological Survey Open-File Report 2003-276, 17 p., https://doi.org/10.3133/ofr2003276.","productDescription":"17 p.","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":179263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4399,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/of03-276/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","otherGeospatial":"Isle Royale National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.219970703125,\n 47.912660308427654\n ],\n [\n -89.18289184570312,\n 47.93566683402829\n ],\n [\n -89.11148071289062,\n 47.964180715412276\n ],\n [\n -88.99749755859375,\n 48.001868461482424\n ],\n [\n -88.93295288085938,\n 48.02575375138845\n ],\n [\n -88.92196655273438,\n 48.02024274341273\n ],\n [\n -88.90411376953125,\n 48.02483529097477\n ],\n [\n -88.8958740234375,\n 48.03310084552225\n ],\n [\n -88.86154174804688,\n 48.05513584361998\n ],\n [\n -88.857421875,\n 48.045955739960114\n ],\n [\n -88.81210327148436,\n 48.057889555610984\n ],\n [\n -88.77365112304688,\n 48.07440873478364\n ],\n [\n -88.76953125,\n 48.08633595588194\n ],\n [\n -88.66653442382812,\n 48.12851776605501\n ],\n [\n -88.66928100585938,\n 48.148679437804546\n ],\n [\n -88.5992431640625,\n 48.1688331920297\n ],\n [\n -88.57864379882812,\n 48.1642534885474\n ],\n [\n -88.55392456054688,\n 48.15600899174947\n ],\n [\n -88.52783203125,\n 48.17341248658084\n ],\n [\n -88.47702026367186,\n 48.184401125107684\n ],\n [\n -88.40286254882812,\n 48.203625575146994\n ],\n [\n -88.42071533203125,\n 48.16608541901253\n ],\n [\n -88.56765747070312,\n 48.08450117877953\n ],\n [\n -88.5662841796875,\n 48.06247874831349\n ],\n [\n -88.72421264648438,\n 47.979810681056705\n ],\n [\n -88.7640380859375,\n 47.97705279557946\n ],\n [\n -88.83544921874999,\n 47.96142199509428\n ],\n [\n -88.88763427734375,\n 47.945786463687185\n ],\n [\n -88.91098022460938,\n 47.934746769467786\n ],\n [\n -88.98376464843749,\n 47.90989883771289\n ],\n [\n -88.99337768554688,\n 47.89977218436005\n ],\n [\n -88.97003173828125,\n 47.898851481269304\n ],\n [\n -88.9508056640625,\n 47.89148526708789\n ],\n [\n -88.87939453125,\n 47.91450120703987\n ],\n [\n -88.8958740234375,\n 47.883197023516125\n ],\n [\n -89.1485595703125,\n 47.81592114659012\n ],\n [\n -89.18289184570312,\n 47.81776548407309\n ],\n [\n -89.19525146484375,\n 47.837127072368524\n ],\n [\n -89.22546386718749,\n 47.84173590980837\n ],\n [\n -89.241943359375,\n 47.850952356425296\n ],\n [\n -89.25567626953125,\n 47.855559965615484\n ],\n [\n -89.26666259765625,\n 47.867537833518504\n ],\n [\n -89.27078247070312,\n 47.87859187064733\n ],\n [\n -89.219970703125,\n 47.912660308427654\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c3bc","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, James P.","contributorId":100323,"corporation":false,"usgs":true,"family":"Bennett","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":243443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":243439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":51402,"text":"ofr03248 - 2003 - Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana","interactions":[],"lastModifiedDate":"2012-02-02T00:11:22","indexId":"ofr03248","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2003-248","title":"Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana","language":"ENGLISH","doi":"10.3133/ofr03248","usgsCitation":"Klein, T.L., Cannon, M.R., and Fey, D.L., 2003, Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana (Version 1.0): U.S. Geological Survey Open-File Report 2003-248, 57 p., https://doi.org/10.3133/ofr03248.","productDescription":"57 p.","costCenters":[],"links":[{"id":178838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-248/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db627876","contributors":{"authors":[{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Michael R.","contributorId":37411,"corporation":false,"usgs":true,"family":"Cannon","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":243471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":243469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":47834,"text":"fs02203 - 2003 - The U.S. Geological Survey Land Remote Sensing Program","interactions":[{"subject":{"id":47834,"text":"fs02203 - 2003 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs02203","publicationYear":"2003","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"predicate":"SUPERSEDED_BY","object":{"id":79773,"text":"fs20073021 - 2007 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs20073021","publicationYear":"2007","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"id":1}],"supersededBy":{"id":79773,"text":"fs20073021 - 2007 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs20073021","publicationYear":"2007","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"lastModifiedDate":"2012-03-16T17:16:06","indexId":"fs02203","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"022-03","title":"The U.S. Geological Survey Land Remote Sensing Program","docAbstract":"In 2002, the U. S. Geological Survey (USGS) launched a program to enhance the acquisition, preservation, and use of remotely sensed data for USGS science programs, as well as for those of cooperators and customers. Remotely sensed data are fundamental tools for studying the Earth's land surface, including coastal and near-shore environments. For many decades, the USGS has been a leader in providing remotely sensed data to the national and international communities. Acting on its historical topographic mapping mission, the USGS has archived and distributed aerial photographs of the United States for more than half a century. Since 1972, the USGS has acquired, processed, archived, and distributed Landsat and other satellite and airborne remotely sensed data products to users worldwide. Today, the USGS operates and manages the Landsats 5 and 7 missions and cooperates with the National Aeronautics and Space Administration (NASA) to define and implement future satellite missions that will continue and expand the collection of moderate-resolution remotely sensed data.\r\n\r\n\r\nIn addition to being a provider of remotely sensed data, the USGS is a user of these data and related remote sensing technology. These data are used in natural resource evaluations for energy and minerals, coastal environmental surveys, assessments of natural hazards (earthquakes, volcanoes, and landslides), biological surveys and investigations, water resources status and trends analyses and studies, and geographic and cartographic applications, such as wildfire detection and tracking and as a source of information for The National Map. The program furthers these distinct but related roles by leading the USGS activities in providing remotely sensed data while advancing applications of such data for USGS programs and a wider user community.","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs02203","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, The U.S. Geological Survey Land Remote Sensing Program: U.S. Geological Survey Fact Sheet 022-03, 2 p., https://doi.org/10.3133/fs02203.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0022/report-thumb.jpg"},{"id":84669,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0022/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672aec","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":531764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":48846,"text":"wri024286 - 2003 - Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998","interactions":[],"lastModifiedDate":"2017-07-19T10:01:57","indexId":"wri024286","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4286","title":"Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998","docAbstract":"Five to nine samples were collected per storm throughout the hydrograph of four storms in February 1998 from Panoche Creek at Interstate 5, California. The rainfall total of 10.40 inches for the month was greater than any other month during 1957 to 2000, and peak streamflows on February 3 and 7 exceeded the previous peak streamflow of record. Concentrations of suspended sediment, which were highly variable during the storms, ranged from 32,900 to 251,000 mg/L (milligram per liter) with a median of 126,000 mg/L. Dissolved selenium concentrations in the storm samples ranged from 16 to 60 μg/L (microgram per liter), with a median of 30 μg/L. These concentrations were considerably higher during the first storm than during subsequent storms. Total selenium concentrations in the storm samples ranged from 57 to 320 μg/L, with a median of 115 μg/L. Total selenium in four replicate and four rerun samples was highly variable (relative percent differences ranged from 0 to 57 percent), probably due to the extremely high concentrations of suspended sediment in the samples and possible interferences from other compounds. The calculated concentration of selenium attached to suspended sediment was less variable than suspended sediment or total selenium concentrations during storm runoff; concentrations ranged from 0.50 to 2.1 μg/g (microgram per gram) with a median of 0.89 μg/g.
The logarithms of suspended sediment and total selenium concentrations were closely correlated to the logarithm of streamflow (R2 = 0.82, R2 = 0.71, respectively for all storm data). These relations for the first storm were significantly different from the later three storms. Because of these correlations, the logarithm of suspended sediment loading rate and the logarithm of total selenium loading rate were closely correlated to the logarithm of streamflow (R2 = 0.982 for both for all storm data). Loads of suspended sediment and total selenium were calculated for each of the four storms in three ways, including simple linear regression with streamflow for all storms, simple linear regressions for the first storm and the combined later three storms, and integration under the instantaneous load curves. The resulting suspended sediment loads for all four storms ranged from 1,793,000 to 2,555,000 tons; total selenium ranged from 4,909 to 5,830 lb (pound).
Dissolved selenium concentrations correlated significantly with both the logarithm of streamflow and specific conductance. Simple linear regression with the logarithm of streamflow had an R2 of 0.45, and a multiple linear regression with the logarithm of streamflow and specific conductance had an adjusted R2 of 0.48 for all storm data. The relation between streamflow and specific conductance for the first storm and for the later three storms were significantly different. As for suspended sediment and total selenium, dissolved selenium loads were calculated three ways. The resulting loads for all four storms ranged from 773 to 1,007 lb.
No significant storm occurred during the remainder of the study period (water years 1998 to 2000), and thus, no additional storm sampling took place. Assuming that future sediment and selenium transport is similar to that of 1998, a reasonable estimate of loading rates can be calculated from the streamflow record at the Interstate 5 gage. Additional storm sampling would improve the estimates and possibly allow for separate equations for the rising and falling limbs of storm hydrographs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Sacremento, CA","doi":"10.3133/wri024286","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Kratzer, C.R., Saleh, D.K., and Zamora, C., 2003, Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998: U.S. Geological Survey Water-Resources Investigations Report 2002-4286, vi, 38 p., https://doi.org/10.3133/wri024286.","productDescription":"vi, 38 p.","numberOfPages":"48","costCenters":[],"links":[{"id":162929,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4066,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri024286/","linkFileType":{"id":5,"text":"html"}},{"id":343963,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri024286/wrir_024286.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Panoche Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.970458984375,\n 36.659606226479696\n ],\n [\n -120.72326660156249,\n 36.39033486213649\n ],\n [\n -120.21240234375001,\n 36.641977814705946\n ],\n [\n -120.4541015625,\n 36.89719446989036\n ],\n [\n -120.970458984375,\n 36.659606226479696\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b08e4b07f02db69b64b","contributors":{"authors":[{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":238413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":238412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":238411,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":52659,"text":"ofr031 - 2003 - Surficial sediment data from the Gulf of Maine, Georges Bank, and vicinity: A GIS compilation","interactions":[],"lastModifiedDate":"2021-12-14T22:43:07.496019","indexId":"ofr031","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2003-1","title":"Surficial sediment data from the Gulf of Maine, Georges Bank, and vicinity: A GIS compilation","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr031","isbn":"0607891572","usgsCitation":"Poppe, L., Paskevich, V., Williams, S., Hastings, M., Kelley, J.T., Belknap, D.F., Ward, L.G., FitzGerald, D.M., and Larsen, P.F., 2003, Surficial sediment data from the Gulf of Maine, Georges Bank, and vicinity: A GIS compilation: U.S. Geological Survey Open-File Report 2003-1, HTML Document, https://doi.org/10.3133/ofr031.","productDescription":"HTML Document","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":179205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5157,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/of03-001/","linkFileType":{"id":5,"text":"html"}},{"id":392916,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_58797.htm"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island","otherGeospatial":"Georges Bank, Gulf of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.7958984375,\n 39.87601941962116\n ],\n [\n -65.2587890625,\n 39.87601941962116\n ],\n [\n -65.2587890625,\n 44.68427737181225\n ],\n [\n -70.7958984375,\n 44.68427737181225\n ],\n [\n -70.7958984375,\n 39.87601941962116\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68885e","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":245716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paskevich, V.F.","contributorId":96285,"corporation":false,"usgs":true,"family":"Paskevich","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":245723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, S.J.","contributorId":85203,"corporation":false,"usgs":true,"family":"Williams","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":245722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hastings, M. E.","contributorId":72012,"corporation":false,"usgs":true,"family":"Hastings","given":"M. E.","affiliations":[],"preferred":false,"id":245721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelley, J. T.","contributorId":34197,"corporation":false,"usgs":true,"family":"Kelley","given":"J.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":245718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belknap, D. F.","contributorId":96739,"corporation":false,"usgs":true,"family":"Belknap","given":"D.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":245724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, L. G.","contributorId":55850,"corporation":false,"usgs":true,"family":"Ward","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":245720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"FitzGerald, D. M.","contributorId":55038,"corporation":false,"usgs":true,"family":"FitzGerald","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":245719,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larsen, P. F.","contributorId":19579,"corporation":false,"usgs":true,"family":"Larsen","given":"P.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":245717,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":50626,"text":"ofr2002152 - 2003 - High-resolution Quaternary seismic stratigraphy of the New York Bight continental shelf","interactions":[],"lastModifiedDate":"2021-08-25T20:13:05.455645","indexId":"ofr2002152","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2002-152","title":"High-resolution Quaternary seismic stratigraphy of the New York Bight continental shelf","docAbstract":"A principal focus for the U.S. Geological Survey (USGS) Coastal and Marine Geology Program (marine.usgs.gov) is regional reconnaissance mapping of inner-continental shelf areas, with initial emphasis on heavily used areas of the sea floor near major population centers. The objectives are to develop a detailed regional synthesis of the sea-floor geology in order to provide information for a wide range of management decisions and to form a basis for further investigations of marine geological processes. In 1995, the USGS, in cooperation with the U.S. Army Corps of Engineers (USACOE), New York District, began to generate reconnaissance maps of the continental shelf seaward of the New York - New Jersey metropolitan area. This mapping encompassed the New York Bight inner-continental shelf, one of the most heavily trafficked and exploited coastal regions in the United States. Contiguous areas of the Hudson Shelf Valley, the largest physiographic feature on this segment of the continental shelf, also were mapped as part of a USGS study of contaminated sediments (Buchholtz ten Brink and others, 1994; 1996).\r\n\r\nThe goal of the reconnaissance mapping was to provide a regional synthesis of the sea-floor geology in the New York Bight area, including: (a) a description of sea-floor morphology; (b) a map of sea-floor sedimentary lithotypes; (c) the geometry and structure of the Cretaceous strata and Quaternary deposits; and (d) the geologic history of the region. Pursuing the course of this mapping effort, we obtained sidescan-sonar images of 100 % of the sea floor in the study area. Initial interpretations of these sidescan data were presented by Schwab and others, (1997a, 1997b, 2000a). High-resolution seismic-reflection profiles collected along each sidescan-sonar line used multiple acoustic sources (e.g., watergun, CHIRP, Geopulse). Multibeam swath-bathymetry data also were obtained for a portion of the study area (Butman and others, 1998;). In this report, we present a series of structural and sediment isopach maps and interpretations of the Quaternary evolution of the inner-continental shelf off the New York - New Jersey metropolitan area based on subbottom, sidescan-sonar, and multibeam-bathymetric data.","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr2002152","isbn":"0607900679","usgsCitation":"Schwab, W.C., Denny, J.F., Foster, D., Lotto, L.L., Allison, M.A., Uchupi, E., Swift, B., Danforth, W.W., Thieler, E., and Butman, B., 2003, High-resolution Quaternary seismic stratigraphy of the New York Bight continental shelf: U.S. Geological Survey Open-File Report 2002-152, DVD-ROM; HTML Document, https://doi.org/10.3133/ofr2002152.","productDescription":"DVD-ROM; HTML Document","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":161966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":388507,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_59028.htm"},{"id":4121,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/of02-152/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"New York Bight continental shelf","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"MultiPolygon\", \"coordinates\": [[[[-74.19304376266615, 40.45653452593734], [-74.20327426158508, 40.45302692630793], [-74.14101436816424, 40.498625721489475], [-74.19304376266615, 40.45653452593734]]], [[[-74.17886767088294, 40.51551656974122], [-74.23938289886327, 40.465277512550074], [-74.25536805342409, 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Platform specifications were developed, radio-modem telemetry of acoustic Doppler current profiler (ADCP) data and potential platform-hull sources were investigated, and hulls were tested and evaluated.
\nDifferent platforms, which included a variety of hull configurations, were tested for drag and stability at the U.S. Geological Survey tow tank and at a field site below a reservoir. The testing indicated that, although any of the designs could be used under certain conditions, trimaran designs provided the best all-around performance under a range of conditions. The trimaran designs housed the ADCP in the center hull; this resulted in lower drag than the catamaran designs and retained the stability advantage of catamarans over monohull designs. Waterproof radio modems that operate at 900 megahertz were used to communicate wirelessly with instruments at high baud rates.
\nA tethered-platform design with a trimaran hull and 900-megahertz radio modems is now commercially available. Continued field use has resulted in U.S. Geological Survey procedures for making tethered-platform discharge measurements, including methods for tethered-boat deployment, moving-bed tests, and measurement of edge distances.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Indianapolis, IN","doi":"10.3133/ofr03237","usgsCitation":"Rehmel, M.S., Stewart, J., and Morlock, S.E., 2003, Tethered acoustic doppler current profiler platforms for measuring streamflow: U.S. Geological Survey Open-File Report 2003–0237, iv, 15 p., https://doi.org/10.3133/ofr03237.","productDescription":"iv, 15 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":178928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0237/coverthb.jpg"},{"id":4413,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0237/ofr20030237.pdf","text":"Report ","size":"376 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2003-0237"}],"country":"United 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U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278
This data set consists of nine files of geochemical information on various types of surficial deposits in northwestern Wisconsin and immediately adjacent parts of Michigan and Minnesota. The files are presented in two formats: as dbase files in dbaseIV form and Microsoft Excel form. The data present multi-element chemical analyses of soils, stream sediments, and lake sediments. Latitude and longitude values are provided in each file so that the dbf files can be readily imported to GIS applications. Metadata files are provided in outline form, question and answer form and text form. The metadata includes information on procedures for sample collection, sample preparation, and chemical analyses including sensitivity and precision.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03259","usgsCitation":"Cannon, W.F., and Woodruff, L.G., 2003, The geochemical landscape of northwestern Wisconsin and adjacent parts of northern Michigan and Minnesota (geochemical data files) (Version 1.0, Online Only): U.S. Geological Survey Open-File Report 2003-259, HTML Document, https://doi.org/10.3133/ofr03259.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":178738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4405,"rank":100,"type":{"id":15,"text":"Index 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standard reference samples -- T-173 (trace constituents), M-166 (major constituents), N-77 (nutrient constituents), N-78 (nutrient constituents), P-40 (low ionic-strength constituents), and Hg-36 (mercury) -- that were distributed in March 2003 to laboratories enrolled in the U.S. Geological Survey sponsored interlaboratory testing program. Analytical data received from 110 laboratories were evaluated with respect to overall laboratory performance and relative laboratory performance for each analyte in the six reference samples. Results of these evaluations are presented in tabular form. Also presented are tables and graphs summarizing the analytical data provided by each laboratory for each analyte in the six standard reference samples. The most probable value for each analyte was determined using nonparametric statistics.","language":"ENGLISH","doi":"10.3133/ofr03261","usgsCitation":"Woodworth, M.T., and Connor, B.F., 2003, Results of the U.S. Geological Survey's analytical evaluation program for standard reference samples distributed in March 2003: U.S. Geological Survey Open-File Report 2003-261, iv, 109 p. : ill. ; 28 cm., https://doi.org/10.3133/ofr03261.","productDescription":"iv, 109 p. : ill. ; 28 cm.","temporalStart":"2003-03-01","temporalEnd":"2003-03-30","costCenters":[{"id":576,"text":"Standard Reference Sample Project- Branch of Quality Systems","active":false,"usgs":true}],"links":[{"id":179503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4404,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://bqs.usgs.gov/srs/Report_Spr03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":8430,"rank":9999,"type":{"id":18,"text":"Project Site"},"url":"https://bqs.usgs.gov/srs/index.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db6055a3","contributors":{"authors":[{"text":"Woodworth, Mark T. woodwort@usgs.gov","contributorId":3452,"corporation":false,"usgs":true,"family":"Woodworth","given":"Mark","email":"woodwort@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":243456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Brooke F. bfconnor@usgs.gov","contributorId":3172,"corporation":false,"usgs":true,"family":"Connor","given":"Brooke","email":"bfconnor@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":243455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51393,"text":"ofr03270 - 2003 - Preliminary geologic map of the Perris 7.5' quadrangle, Riverside County, California","interactions":[],"lastModifiedDate":"2023-06-23T13:54:52.671543","indexId":"ofr03270","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2003-270","title":"Preliminary geologic map of the Perris 7.5' quadrangle, Riverside County, California","docAbstract":"Open-File Report 03-270 contains a digital geologic map database of the Perris 7.5’ quadrangle, Riverside County, California that includes:
1. ARC/INFO (Environmental Systems Research Institute, http://www.esri.com) version 7.2.1 coverages of the various elements of the geologic map.
2. A Postscript file to plot the geologic map on a topographic base, and containing a Correlation of Map Units diagram (CMU), a Description of Map Units (DMU), and an index map.
3. Portable Document Format (.pdf) files of:
a. A Readme file
b. The same graphic as described in 2 above. Test plots have not produced precise 1:24,000- scale map sheets. Adobe Acrobat page size setting influences map scale.
The Correlation of Map Units and Description of Map Units is in the editorial format of USGS Geologic Investigations Series (I-series) maps but has not been edited to comply with I-map standards. Within the geologic map data package, map units are identified by standard geologic map criteria such as formationname, age, and lithology. Where known, grain size is indicated on the map by a subscripted letter or letters following the unit symbols as follows: lg, large boulders; b, boulder; g, gravel; a, arenaceous; s, silt; c, clay; e.g. Qyfa is a predominantly young alluvial fan deposit that is arenaceous. Multiple letters are used for more specific identification or for mixed units, e.g., Qfysa is a silty sand. In some cases, mixed units are indicated by a compound symbol; e.g., Qyf2sc.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03270","collaboration":"Prepared in cooperation with the California Geological Survey","usgsCitation":"Morton, D.M., Bovard, K.R., and Alvarez, R.M., 2003, Preliminary geologic map of the Perris 7.5' quadrangle, Riverside County, California: U.S. Geological Survey Open-File Report 2003-270, 1 Plate: 48.0 x 36.0 inches; Readme: Metadata; Database, https://doi.org/10.3133/ofr03270.","productDescription":"1 Plate: 48.0 x 36.0 inches; Readme: Metadata; Database","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":179332,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":283936,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2003/0270/pdf/per_map.pdf","text":"Plate 1","linkFileType":{"id":1,"text":"pdf"}},{"id":4400,"rank":8,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0270/","linkFileType":{"id":5,"text":"html"}},{"id":283933,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2003/0270/pdf/README.pdf"},{"id":283934,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2003/0270/per_met.txt"},{"id":283937,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0270/per_map.ps.gz"},{"id":110439,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_55312.htm","linkFileType":{"id":5,"text":"html"},"description":"55312"},{"id":283938,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0270/symbols.tar.gz"},{"id":283935,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0270/per.tar.gz"}],"scale":"24000","projection":"Polyconic projection","country":"United States","state":"California","county":"Riverside County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,33.75 ], [ -117.25,33.875 ], [ -117.125,33.875 ], [ -117.125,33.75 ], [ -117.25,33.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698329","contributors":{"authors":[{"text":"Morton, Douglas M. scamp@usgs.gov","contributorId":4102,"corporation":false,"usgs":true,"family":"Morton","given":"Douglas","email":"scamp@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":243444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bovard, Kelly R.","contributorId":49009,"corporation":false,"usgs":true,"family":"Bovard","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":243445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Rachel M.","contributorId":74451,"corporation":false,"usgs":true,"family":"Alvarez","given":"Rachel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":243446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":51395,"text":"ofr03268 - 2003 - Density and magnetic susceptibility values for rocks in the Talkeetna Mountains and adjacent region, south-central Alaska","interactions":[],"lastModifiedDate":"2023-06-23T14:03:04.202275","indexId":"ofr03268","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"2003-268","title":"Density and magnetic susceptibility values for rocks in the Talkeetna Mountains and adjacent region, south-central Alaska","docAbstract":"This report presents a compilation and statistical analysis of 306 density and 706 magnetic susceptibility measurements of rocks from south-central Alaska that were collected by U.S. Geological Survey (USGS) and Alaska Division of Geological and Geophysical Surveys (ADGGS) scientists between the summers of 1999 and 2002. This work is a product of the USGS Talkeetna Mountains Transect Project and was supported by USGS projects in the Talkeetna Mountains and Iron Creek region, and by Bureau of Land Management (BLM) projects in the Delta River Mining District that aim to characterize the subsurface structures of the region. These data were collected to constrain potential field models (i.e., gravity and magnetic) that are combined with other geophysical methods to identify and model major faults, terrane boundaries, and potential mineral resources of the study area. Because gravity and magnetic field anomalies reflect variations in the density and magnetic susceptibility of the underlying lithology, these rock properties are essential components of potential field modeling. In general, the average grain density of rocks in the study region increases from sedimentary, felsic, and intermediate igneous rocks, to mafic igneous and metamorphic rocks. Magnetic susceptibility measurements performed on rock outcrops and hand samples from the study area also reveal lower magnetic susceptibilities for sedimentary and felsic intrusive rocks, moderate susceptibility values for metamorphic, felsic extrusive, and intermediate igneous rocks, and higher susceptibility values for mafic igneous rocks. The density and magnetic properties of rocks in the study area are generally consistent with general trends expected for certain rock types.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03268","usgsCitation":"Sanger, E.A., and Glen, J., 2003, Density and magnetic susceptibility values for rocks in the Talkeetna Mountains and adjacent region, south-central Alaska: U.S. Geological Survey Open-File Report 2003-268, Report: ii, 42 p.; Data File, https://doi.org/10.3133/ofr03268.","productDescription":"Report: ii, 42 p.; Data File","numberOfPages":"44","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":179334,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03268.jpg"},{"id":4402,"rank":5,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0268/","linkFileType":{"id":5,"text":"html"}},{"id":390693,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_55295.htm"},{"id":285722,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0268/pdf/of03-268.pdf"},{"id":285723,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0268/rock_prop.txt"}],"country":"United States","state":"Alaska","otherGeospatial":"Talkeetna Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.0,62.1667 ], [ -150.0,63.6667 ], [ -145.0,63.6667], [ -145.0,62.1667 ], [ -150.0,62.1667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab2e4b07f02db66eb62","contributors":{"authors":[{"text":"Sanger, Elizabeth A.","contributorId":50219,"corporation":false,"usgs":true,"family":"Sanger","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":243452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. 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