{"pageNumber":"728","pageRowStart":"18175","pageSize":"25","recordCount":46883,"records":[{"id":70236417,"text":"70236417 - 2010 - Historical evolution of the Columbia River littoral cell","interactions":[],"lastModifiedDate":"2022-09-06T16:11:29.225362","indexId":"70236417","displayToPublicDate":"2010-08-01T10:59:33","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Historical evolution of the Columbia River littoral cell","docAbstract":"<p>This paper details the historical coastal evolution of the Columbia River littoral cell in the Pacific Northwest of the United States. Geological data from A.D. 1700 and records leading up to the late 1800s provide insights to the natural system dynamics prior to significant human intervention, most notably jetty construction between 1885 and 1917. All reliable surveys, charts, and aerial photos are used to quantify decadal-scale changes at the three estuary entrances and four sub-cells of the littoral cell. Shoreline, bathymetric, and topographic change over three historical intervals—1870s–1920s, 1920s–1950s, and 1950s–1990s—are integrated to provide an understanding of sediment-sharing relationships among the littoral cell components. Regional morphological change data are developed for alongshore segments of approximately 5 km, enabling comparisons of shoreline change to upper-shoreface and barrier volume change within common compartments. The construction of entrance jetties at the Columbia River (1885–1917) and Grays Harbor (1898–1916) has profoundly affected the evolution of the littoral cell, and has accentuated the morphological coupling between the inlets, ebb-tidal deltas, shorefaces, and barriers. The jetties induced erosion of the inlets and offshore migration of ebb-tidal deltas. The change in boundary conditions at the entrances enabled waves to rework the flanks of ebb-tidal deltas and supply enormous quantities of sand to the adjacent coasts. Over several decades the initial sand pulses have been dispersed alongshore up to tens of kilometers from the estuary entrances. Winter waves and coastal currents produce net northward sediment transport across the shoreface while summer conditions tend to induce onshore sediment transport and accumulation of the upper shoreface and barriers at relatively high rates. Historical shoreline progradation rates since jetty construction are approximately double the late prehistoric rates between 1700 and the 1870s. Erosion rates of the mid- to lower shoreface to the south of the jettied estuary entrances have typically been greater than the accumulation rates of the upper shoreface and barrier, suggesting that the lower shoreface has been an important source of littoral sediments over decadal and longer time scales. Until recent decades, sediment supply from the ebb-tidal delta flanks and lower shoreface has largely masked the decline in Columbia River sediment supply resulting from flow regulation and dredging disposal practices. With the contemporary onset and expansion of coastal erosion adjacent to the jettied estuary entrances, proper management of dredged sediment is imperative to mitigate the effects of a declining sediment budget.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.006","usgsCitation":"Kaminsky, G.M., Ruggiero, Buijsman, M.C., McCandless, D., and Gelfenbaum, G.R., 2010, Historical evolution of the Columbia River littoral cell: Marine Geology, v. 273, no. 1-4, p. 96-126, https://doi.org/10.1016/j.margeo.2010.02.006.","productDescription":"31 p.","startPage":"96","endPage":"126","costCenters":[],"links":[{"id":406241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Grays Harbor, Willapa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.9642333984375,\n              45.79050946752472\n            ],\n            [\n              -122.80517578125,\n              45.84028105450088\n            ],\n            [\n              -122.8216552734375,\n              47.364873807434094\n            ],\n            [\n              -124.32678222656249,\n              47.34626718205302\n            ],\n            [\n              -124.21142578125,\n              47.081344869872034\n            ],\n            [\n              -124.20043945312499,\n              46.916503267244835\n            ],\n            [\n              -124.1455078125,\n              46.830133640447386\n            ],\n            [\n              -124.1180419921875,\n              46.74738913515841\n            ],\n            [\n              -124.1015625,\n              46.67582559793001\n            ],\n            [\n              -124.1290283203125,\n              46.27483447871404\n            ],\n            [\n              -123.98620605468751,\n              46.11513371326539\n            ],\n            [\n              -123.96972656249999,\n              46.01985337287631\n            ],\n            [\n              -124.01367187499999,\n              45.947330315089275\n            ],\n            [\n              -123.9642333984375,\n              45.79050946752472\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaminsky, George M","contributorId":221036,"corporation":false,"usgs":false,"family":"Kaminsky","given":"George","email":"","middleInitial":"M","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":850936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":121401,"corporation":false,"usgs":true,"family":"Ruggiero","suffix":"Peter","affiliations":[],"preferred":false,"id":850937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buijsman, Maarten C.","contributorId":76340,"corporation":false,"usgs":true,"family":"Buijsman","given":"Maarten","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCandless, Diana","contributorId":187530,"corporation":false,"usgs":false,"family":"McCandless","given":"Diana","email":"","affiliations":[],"preferred":false,"id":850939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":850940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040059,"text":"70040059 - 2010 - 2009 Data Summary USA-NPN Technical Series","interactions":[],"lastModifiedDate":"2016-05-17T14:17:03","indexId":"70040059","displayToPublicDate":"2010-08-01T01:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2010-002","title":"2009 Data Summary USA-NPN Technical Series","docAbstract":"<p>The USA National Phenology Network (USA-NPN) engages volunteer observers to collect phenology observations of plants and animals using consistent standards and to contribute to the USA-NPN National Phenology Database. In March 2009, the USA-NPN National Coordinating Office implemented an online monitoring program for 213 plant species.</p>\n<p>In this pilot year of the program, 547 observers reported phenology observations on one or more plants via an online interface. There was substantial national interest in participating in this program, focused only on plants and with minimal advertising or marketing, which resulted in fifteen hundred new registrants, a thousand new sites, and tens of thousands of observations on 133 plant species across the nation in less than a year.</p>\n<p>Participants tended to stay involved, reporting most phenophases for an average of nine unique dates over almost two months during the year. This suggests sustained interest in participation and that the online interface and status monitoring engage the public, keeping them involved in the project and in participatory monitoring and outdoor activities.</p>\n<p>The data collected by participants show interesting patterns of plant phenology on regional to national scales that are commensurate with our understanding of climatological gradients associated with latitude, longitude, elevation, and degree of continentality. As such, these data should be useful to a variety of stakeholders interested in the spatial and temporal patterns of plant activity on a national scale. Through time, these data should empower scientists, resource managers, and the public in making decisions concerning adaptation to variable and changing climates and environments.</p>","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Crimmins, T., Rosemartin, A.H., Thomas, K.A., Marsh, R.L., Denny, E.G., and Weltzin, J., 2010, 2009 Data Summary USA-NPN Technical Series: USA-NPN Technical Series 2010-002, 20 p.","productDescription":"20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032425","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":321340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d642ee4b07e28b66833eb","contributors":{"authors":[{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":629644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":629645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":629646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsh, R. Lee","contributorId":146211,"corporation":false,"usgs":false,"family":"Marsh","given":"R.","email":"","middleInitial":"Lee","affiliations":[{"id":16629,"text":"USA National Phenology Network, SNRE University of Arizona","active":true,"usgs":false}],"preferred":false,"id":629647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":629648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":629649,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043175,"text":"70043175 - 2010 - Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models","interactions":[],"lastModifiedDate":"2013-02-14T14:24:43","indexId":"70043175","displayToPublicDate":"2010-08-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models","docAbstract":"This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005–2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution were categorized as normal performance, underperformance, and overperformance (observed performance relative to weather-based predictions) at the 90% level of confidence. The EPA maps were validated using “percentage of bare soil” ground observations. The validation results at locations with comparable site potential showed that regions identified as persistently underperforming (overperforming) tended to have a higher (lower) percentage of bare soil, suggesting that our preliminary EPA maps are reliable and agree with ground-based observations. The 3-year (2005–2007) persistent EPA map from this study provides the first quantitative evaluation of ecosystem performance anomalies within the UCRB and will help the Bureau of Land Management (BLM) identify potentially degraded lands. Results from this study can be used as a prototype by BLM and other land managers for making optimal land management decisions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI","doi":"10.3390/rs2081880","usgsCitation":"Gu, Y., and Wylie, B.K., 2010, Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models: Remote Sensing, v. 2, no. 8, p. 1880-1891, https://doi.org/10.3390/rs2081880.","startPage":"1880","endPage":"1891","ipdsId":"IP-021971","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs2081880","text":"Publisher Index Page"},{"id":267415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267414,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs2081880"}],"country":"United States","volume":"2","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-29","publicationStatus":"PW","scienceBaseUri":"511e1583e4b071e86a19a439","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473105,"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":473106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200865,"text":"70200865 - 2010 - The thermal signature of volcanic eruptions on Io and Earth,","interactions":[],"lastModifiedDate":"2018-11-07T16:46:30","indexId":"70200865","displayToPublicDate":"2010-07-30T16:45:38","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The thermal signature of volcanic eruptions on Io and Earth,","docAbstract":"<p><span>We investigate a spectrum-based technique to identify the style of active volcanic eruptions on Jupiter's moon Io. Thermal remote sensing of Io has had to rely primarily on low-spatial-resolution data, similar to low-spatial-resolution&nbsp;satellite data applied to detecting and charting the&nbsp;temporal evolution&nbsp;of terrestrial hot spots. These terrestrial analyses use data from sensors designed to monitor the weather and&nbsp;sea surface temperature. On Io, such low-spatial-resolution data are used to classify eruption styles (modes of emplacement) by means of several criteria related to the temporal evolution of the&nbsp;infrared spectrum&nbsp;associated with the eruptive activity at each hot spot, which we term “thermal signature.” We find that the ratio of the emission at 2 and 5</span><span>&nbsp;</span><span>µm, and how this ratio changes with time, is often diagnostic of eruption style, even in low-spatial-resolution data. Tests using thermal data for terrestrial “ground truth” cases show that our classification system is valid on Earth. The results of our analysis can be used to aid in the design of future space-based instruments that can be used for volcano monitoring on Io, as well as Earth.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2010.04.009","usgsCitation":"Davies, A., Keszthelyi, L., and Harris, A.J., 2010, The thermal signature of volcanic eruptions on Io and Earth,: Journal of Volcanology and Geothermal Research, v. 194, no. 4, p. 75-99, https://doi.org/10.1016/j.jvolgeores.2010.04.009.","productDescription":"25 p.","startPage":"75","endPage":"99","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be40825e4b0b3fc5cf7cc12","contributors":{"authors":[{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":750974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. L.","affiliations":[],"preferred":false,"id":750976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159151,"text":"70159151 - 2010 - Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS)","interactions":[],"lastModifiedDate":"2017-04-25T16:26:59","indexId":"70159151","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS)","docAbstract":"<p><span>Systematic characterization and calibration of the Landsat sensors and the assessment of image data quality are performed using the Image Assessment System (IAS). The IAS was first introduced as an element of the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) ground segment and recently extended to Landsat 4 (L4) and 5 (L5) Thematic Mappers (TM) and Multispectral Sensors (MSS) on-board the Landsat 1-5 satellites. In preparation for the Landsat Data Continuity Mission (LDCM), the IAS was developed for the Earth Observer 1 (EO-1) Advanced Land Imager (ALI) with a capability to assess pushbroom sensors. This paper describes the LDCM version of the IAS and how it relates to unique calibration and validation attributes of its on-board imaging sensors. The LDCM IAS system will have to handle a significantly larger number of detectors and the associated database than the previous IAS versions. An additional challenge is that the LDCM IAS must handle data from two sensors, as the LDCM products will combine the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) spectral bands.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International","conferenceTitle":"Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International","conferenceDate":"July 25-30 2010","conferenceLocation":"Honolulu, Hawaii","language":"English","publisher":"Institute of Electrical and Electronics Engineers, Inc.","doi":"10.1109/IGARSS.2010.5652207","usgsCitation":"Micijevic, E., and Morfitt, R., 2010, Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS), <i>in</i> Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, Hawaii, July 25-30 2010, p. 2291-2294, https://doi.org/10.1109/IGARSS.2010.5652207.","productDescription":"4 p.","startPage":"2291","endPage":"2294","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022394","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620ce8ce4b06217fc478b02","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159150,"text":"70159150 - 2010 - Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","interactions":[],"lastModifiedDate":"2017-05-10T15:50:14","indexId":"70159150","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","docAbstract":"<p><span>Different applications and technology developments in Earth observations necessarily require different spectral coverage. Thus, even for the spectral bands designed to look at the same region of the electromagnetic spectrum, the relative spectral responses (RSR) of different sensors may be different. In this study, spectral band adjustment factors (SBAF) are derived using hyperspectral Earth Observing-1 (EO-1) Hyperion measurements to adjust for the spectral band differences between the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance measurements from 2000 to 2009 over the pseudo-invariant Libya 4 reference standard test site.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA","conferenceTitle":"2010 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 25-30, 2010","conferenceLocation":"Piscataway, N.J.","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/IGARSS.2010.5652746","usgsCitation":"Chander, G., Mishra, N., Helder, D.L., Aaron, D., Choi, T., Angal, A., and Xiong, X., 2010, Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors, <i>in</i> IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA, Piscataway, N.J., July 25-30, 2010, p. 1667-1670, https://doi.org/10.1109/IGARSS.2010.5652746.","productDescription":"4 p,","startPage":"1667","endPage":"1670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022546","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620cec6e4b06217fc478b3d","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":577709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mishra, N.","contributorId":67379,"corporation":false,"usgs":true,"family":"Mishra","given":"N.","email":"","affiliations":[],"preferred":false,"id":577710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":577712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":577713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":577714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":577715,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70158977,"text":"70158977 - 2010 - Golden Gate Bridge response: a preliminary study with low amplitude earthquake data","interactions":[],"lastModifiedDate":"2021-10-22T14:01:40.904853","indexId":"70158977","displayToPublicDate":"2010-07-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Golden Gate Bridge response: a preliminary study with low amplitude earthquake data","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"9th US National and 10th Canadian Conference on Earthquake Engineering : reaching beyond borders = 9ième Conférence Nationale Américaine et 10ième Conférence Canadienne de Génie Parasismique : au delà des frontières","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th US National and 10th Canadian Conference on Earthquake Engineering 2010","conferenceDate":"July 25-29, 2010","conferenceLocation":"Toronto, Canada","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Çelebi, M., Stephens, C., and Kalkan, E., 2010, Golden Gate Bridge response: a preliminary study with low amplitude earthquake data, <i>in</i> 9th US National and 10th Canadian Conference on Earthquake Engineering : reaching beyond borders = 9ième Conférence Nationale Américaine et 10ième Conférence Canadienne de Génie Parasismique : au delà des frontières, v. 5, Toronto, Canada, July 25-29, 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021482","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":309803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Golden Gate Bridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.48004913330077,\n              37.83405614418896\n            ],\n            [\n              -122.47610092163085,\n              37.81127577036112\n            ],\n            [\n              -122.47386932373047,\n              37.80666460115532\n            ],\n            [\n              -122.47816085815431,\n              37.80381638220771\n            ],\n            [\n              -122.48296737670898,\n              37.83297152392784\n            ],\n            [\n              -122.48004913330077,\n              37.83405614418896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5618e530e4b0cdb063e3fed8","contributors":{"authors":[{"text":"Çelebi, Mehmet","contributorId":27493,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","affiliations":[],"preferred":false,"id":577117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, Christopher","contributorId":33582,"corporation":false,"usgs":true,"family":"Stephens","given":"Christopher","affiliations":[],"preferred":false,"id":577118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":577119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98550,"text":"sir20105142 - 2010 - Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut","interactions":[],"lastModifiedDate":"2012-03-08T17:16:16","indexId":"sir20105142","displayToPublicDate":"2010-07-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5142","title":"Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut","docAbstract":"A study of the groundwater and stream-aquifer interaction in the Pootatuck River Basin, Newtown, Connecticut, was conducted to analyze the effect of production wells on the groundwater levels and streamflow in the Pootatuck River as part of a cooperative program between the U.S. Geological Survey and Newtown, Connecticut. This study will help address concerns about the increasing competition for water for human uses and protection of aquatic habitat. The groundwater-flow model developed in the study was designed for use as a tool to assist planners in assessing the effects of potential future development, which will change the amount and distribution of recharge available to the groundwater system.\r\n\r\nSeveral different techniques were used to investigate the interconnection between the stream and the aquifer. Temperature, groundwater levels, stream stage, and stable-isotope data collected during aquifer tests at the principal production wells in the Pootatuck River Basin, as well as groundwater-flow simulations of the system, indicate that more than half of the water pumped from the wells comes from the Pootatuck River. This finding potentially has a large effect on approaches for protecting the water quality of the pumped water. Increases in the amount of impervious surface from future development will reduce and redistribute recharge to the groundwater system. The simulation of future development scenarios showed a decrease in the simulated base flow in the main stem of the Pootatuck River and in all of the 26 simulated subbasins, with some of the subbasins showing a decrease of more than 20 percent when new development had 85 percent impervious area.\r\n\r\nThe groundwater-flow model and particle tracking were used to determine areas that contribute recharge to the five production wells available for use in the Pootatuck River Basin. These areas included narrow portions of the aquifer that extended beyond the immediate upgradient areas, probably because of deeper groundwater-flow paths. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105142","collaboration":"Prepared in cooperation with the Town of Newtown, Connecticut","usgsCitation":"Carlson, C.S., Mondazzi, R.A., Bjerklie, D.M., and Brown, C., 2010, Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut: U.S. Geological Survey Scientific Investigations Report 2010-5142, ix, 84p. ; Appendices, https://doi.org/10.3133/sir20105142.","productDescription":"ix, 84p. ; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":13945,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5142/","linkFileType":{"id":5,"text":"html"}},{"id":165526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.36666666666666,41.31666666666667 ], [ -73.36666666666666,41.45 ], [ -73.21666666666667,41.45 ], [ -73.21666666666667,41.31666666666667 ], [ -73.36666666666666,41.31666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db692058","contributors":{"authors":[{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mondazzi, Remo A.","contributorId":77898,"corporation":false,"usgs":true,"family":"Mondazzi","given":"Remo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":305709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98548,"text":"ds517 - 2010 - Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program","interactions":[],"lastModifiedDate":"2022-05-11T21:30:42.028539","indexId":"ds517","displayToPublicDate":"2010-07-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"517","title":"Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds517","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Brightbill, R.A., and Frankforter, J.D., 2010, Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program: U.S. Geological Survey Data Series 517, Report: vi, 12 p; 13 Appendices, https://doi.org/10.3133/ds517.","productDescription":"Report: vi, 12 p; 13 Appendices","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":116031,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_517.jpg"},{"id":400558,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93781.htm"},{"id":400557,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/517/"}],"country":"United States","otherGeospatial":"Ozark Plateau, Upper Mississippi River Basin, Upper Snake River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116,\n              36\n            ],\n            [\n              -90,\n              36\n            ],\n            [\n              -90,\n              47\n            ],\n            [\n              -116,\n              47\n            ],\n            [\n              -116,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db66738c","contributors":{"authors":[{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankforter, Jill D. 0000-0003-0371-2313 jdfrankf@usgs.gov","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":1739,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"jdfrankf@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305704,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98545,"text":"ofr20101124 - 2010 - Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101124","displayToPublicDate":"2010-07-24T00:00:00","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":"2010-1124","title":"Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan","docAbstract":"Central Kazakhstan is host to one of the world's giant sandstone-hosted copper deposits, the Dzhezkazgan deposit, and several similar, smaller deposits. The United Stated Geological Survey (USGS) is assessing the potential for other, undiscovered deposits of this type in the surrounding region of central Kazakhstan. As part of this effort, Syusyura compiled and partially translated an array of mostly unpublished geologic, geophysical, and mineral resource data for this region in digital format from the archives of the former Union of Soviet Socialists Republics (of which Kazakhstan was one of the member republics until its dissolution in 1991), as well as from later archives of the Republic of Kazakhstan or of the Kazakhstan consulting firm Mining Economic Consulting (MEC). These digital data are primarily map-based displays of information that were transmitted either in ESRI ArcGIS, georeferenced format, or non-georeferenced map image files. Box and Wallis reviewed all the data, translated Cyrillic text where necessary, inspected the maps for consistency, georeferenced the unprojected map images, and reorganized the data into the filename and folder structure of this publication. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101124","usgsCitation":"Syusyura, B., Box, S.E., and Wallis, J., 2010, Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan: U.S. Geological Survey Open-File Report 2010-1124, Report: iii, 4 p.; Appendices, https://doi.org/10.3133/ofr20101124.","productDescription":"Report: iii, 4 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125957,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1124.jpg"},{"id":13940,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1124/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 54.10027777777778,39.88388888888889 ], [ 54.10027777777778,56.50111111111111 ], [ 91.83444444444444,56.50111111111111 ], [ 91.83444444444444,39.88388888888889 ], [ 54.10027777777778,39.88388888888889 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e7098","contributors":{"authors":[{"text":"Syusyura, Boris","contributorId":72104,"corporation":false,"usgs":true,"family":"Syusyura","given":"Boris","email":"","affiliations":[],"preferred":false,"id":305697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":305695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":305696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98546,"text":"ds514 - 2010 - Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California","interactions":[],"lastModifiedDate":"2019-05-29T08:14:15","indexId":"ds514","displayToPublicDate":"2010-07-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"514","title":"Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California","docAbstract":"<p class=\"clearFloat\">This report describes swath bathymetry and backscatter data acquired by the U.S. Geological Survey on the continental shelf within the Monterey Bay National Marine Sanctuary between Point Año Nuevo and Moss Landing, in San Mateo, Santa Cruz, and Monterey Counties, Calif. The survey was done for the<span>&nbsp;</span><a rel=\"noopener\" href=\"http://walrus.wr.usgs.gov/mapping/csmp/\" target=\"_blank\" data-mce-href=\"http://walrus.wr.usgs.gov/mapping/csmp/\">California Seafloor Mapping Program (CSMP)</a>, in field activities<span>&nbsp;</span><a rel=\"noopener\" href=\"http://walrus.wr.usgs.gov/infobank/s/s709mb/html/s-7-09-mb.meta.html\" target=\"_blank\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/s/s709mb/html/s-7-09-mb.meta.html\">S-7-09-MB</a><span>&nbsp;</span>and<span>&nbsp;</span><a rel=\"noopener\" href=\"http://walrus.wr.usgs.gov/infobank/s/s1009mb/html/s-10-09-mb.meta.html\" target=\"_blank\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/s/s1009mb/html/s-10-09-mb.meta.html\">S-10-09-MB</a>, by the Western Coastal and Marine Geology (WCMG) Team of the U.S. Geological Survey (USGS).</p><p class=\"clearFloat\">The data were acquired in two separate surveys: (1) between August 13, 2009 and September 3, 2009, personnel from WCMG completed field activity S-7-09-MB, from Point Año Nuevo south to Table Rock, as well as a block west of Soquel Canyon; (2) between October 12 and December 16, 2009, WCMG conducted field activity S-10-09-MB, surveying between Table Rock and Moss Landing.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds514","usgsCitation":"Ritchie, A.C., Finlayson, D.P., and Logan, J., 2010, Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California: U.S. Geological Survey Data Series 514, HTML Document, https://doi.org/10.3133/ds514.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":202962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/514/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.33361111111111,36.784166666666664 ], [ -122.33361111111111,37.10111111111111 ], [ -121.78333333333333,37.10111111111111 ], [ -121.78333333333333,36.784166666666664 ], [ -122.33361111111111,36.784166666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687f63","contributors":{"authors":[{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":305700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98544,"text":"fs20103057 - 2010 - Water use trends in Washington, 1985-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"fs20103057","displayToPublicDate":"2010-07-23T00:00:00","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":"2010-3057","title":"Water use trends in Washington, 1985-2005","docAbstract":"Since 1950, the U.S. Geological Survey Washington Water Science Center (USGS-WAWSC) has collected, compiled, and published, at 5-year intervals, statewide estimates of the amounts of water withdrawn and used for various purposes in Washington State. As new data and methods became available, some of the original datasets were recompiled. The most recent versions of these datasets were used in this fact sheet. The datasets are available online along with other USGS-WAWSC water-use publications at the USGS-WAWSC water use web page: http://wa.water.usgs.gov/data/wuse/. Values on these datasets and in this fact sheet may not sum to the indicated total due to independent rounding.\r\n\r\nDue to variations in data requirements, collection methods, terminology, and data sources, the direct assessment of water-use trends between compilations is difficult. This fact sheet focuses on the trends in total State and public-supplied populations, freshwater withdrawals and use, public-supply withdrawals and deliveries, and crop irrigation withdrawals and acreage in Washington from 1985 through 2005. These four categories were included in all five compilations and were the most stable in terms of data requirements, collection methods, terminology, and data sources.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103057","usgsCitation":"Lane, R.C., 2010, Water use trends in Washington, 1985-2005: U.S. Geological Survey Fact Sheet 2010-3057, 4 p., https://doi.org/10.3133/fs20103057.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1985-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3057.jpg"},{"id":13935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3057/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d1e4b07f02db547b87","contributors":{"authors":[{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305694,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98542,"text":"ofr20101139 - 2010 - Preliminary assessment of factors influencing riverine fish communities in Massachusetts","interactions":[],"lastModifiedDate":"2019-12-26T15:57:09","indexId":"ofr20101139","displayToPublicDate":"2010-07-23T00:00:00","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":"2010-1139","title":"Preliminary assessment of factors influencing riverine fish communities in Massachusetts","docAbstract":"The U.S. Geological Survey, in cooperation with the Massachusetts Department of Conservation and Recreation (MDCR), Massachusetts Department of Environmental Protection (MDEP), and the Massachusetts Department of Fish and Game (MDFG), conducted a preliminary investigation of fish communities in small- to medium-sized Massachusetts streams. The objective of this investigation was to determine relations between fish-community characteristics and anthropogenic alteration, including flow alteration and impervious cover, relative to the effect of physical basin and land-cover (environmental) characteristics. Fish data were obtained for 756 fish-sampling sites from the Massachusetts Division of Fisheries and Wildlife fish-community database. A review of the literature was used to select a set of fish metrics responsive to flow alteration. Fish metrics tested include two fish-community metrics (fluvial-fish relative abundance and fluvial-fish species richness), and five indicator species metrics (relative abundance of brook trout, blacknose dace, fallfish, white sucker, and redfin pickerel). Streamflows were simulated for each fish-sampling site using the Sustainable Yield Estimator application (SYE). Daily streamflows and the SYE water-use database were used to determine a set of indicators of flow alteration, including percent alteration of August median flow, water-use intensity, and withdrawal and return-flow fraction. The contributing areas to the fish-sampling sites were delineated and used with a Geographic Information System (GIS) to determine a set of environmental characteristics, including elevation, basin slope, percent sand and gravel, percent wetland, and percent open water, and a set of anthropogenic-alteration variables, including impervious cover and dam density.\r\n\r\nTwo analytical techniques, quantile regression and generalized linear modeling, were applied to determine the association between fish-response variables and the selected environmental and anthropogenic explanatory variables. Quantile regression indicated that flow alteration and impervious cover were negatively associated with both fluvial-fish relative abundance and fluvial-fish species richness. Three generalized linear models (GLMs) were developed to quantify the response of fish communities to multiple environmental and anthropogenic variables. Flow-alteration variables are statistically significant for the fluvial-fish relative-abundance model.\r\n\r\nImpervious cover is statistically significant for the fluvial-fish relative-abundance, fluvial-fish species richness, and brook trout relative-abundance models. The variables in the equations were demonstrated to be significant, and the variability explained by the models, as measured by the correlation between observed and predicted values, ranges from 39 to 65 percent. The GLM models indicated that, keeping all other variables the same, a one-unit (1 percent) increase in the percent depletion or percent surcharging of August median flow would result in a 0.4-percent decrease in the relative abundance (in counts per hour) of fluvial fish and that the relative abundance of fluvial fish was expected to be about 55 percent lower in net-depleted streams than in net-surcharged streams. The GLM models also indicated that a unit increase in impervious cover resulted in a 5.5-percent decrease in the relative abundance of fluvial fish and a 2.5-percent decrease in fluvial-fish species richness.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101139","collaboration":"Prepared in cooperation with the \r\nMassachusetts Department of Conservation and Recreation, the\r\nMassachusetts Department of Environmental Protection, and the Massachusetts Department of Fish and Game\r\n","usgsCitation":"Armstrong, D.S., Richards, T.A., and Brandt, S.L., 2010, Preliminary assessment of factors influencing riverine fish communities in Massachusetts: U.S. Geological Survey Open-File Report 2010-1139, ix, 43 p., https://doi.org/10.3133/ofr20101139.","productDescription":"ix, 43 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":202842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13932,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1139/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a15e4b07f02db603195","contributors":{"authors":[{"text":"Armstrong, David S. 0000-0003-1695-1233 darmstro@usgs.gov","orcid":"https://orcid.org/0000-0003-1695-1233","contributorId":1390,"corporation":false,"usgs":true,"family":"Armstrong","given":"David","email":"darmstro@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Todd A.","contributorId":52266,"corporation":false,"usgs":true,"family":"Richards","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Sara L.","contributorId":89240,"corporation":false,"usgs":true,"family":"Brandt","given":"Sara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175002,"text":"70175002 - 2010 - Survival of feral cats, <i>Felis catus</i> (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines","interactions":[],"lastModifiedDate":"2018-01-04T12:54:04","indexId":"70175002","displayToPublicDate":"2010-07-22T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Survival of feral cats, <i>Felis catus</i> (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines","docAbstract":"<p><span>Feral cats (</span><i>Felis catus</i><span>) have spread throughout anthropogenic and insular environments of the world. They now threaten many species of native wildlife with chronic depredation. Knowledge of feral cat population dynamics is necessary to understand their ecological effects and to develop effective control strategies. However, there are few studies worldwide regarding annual or lifetime survival rates in remote systems, and none on Pacific islands. We constructed the age distribution and estimated survival of feral cats in a remote area of Hawai'i Island using cementum lines present in lower canine teeth. Our data suggest annual cementum line formation. A log-linear model estimated annual survival &ge; 1 yr of age to be 0.647. Relatively high survival coupled with high reproductive output allows individual cats to affect native wildlife for many years and cat populations to rebound quickly after control efforts.</span></p>","language":"English","publisher":"University of Hawai'i Press","publisherLocation":"Honolulu, HI","doi":"10.2984/64.3.381","usgsCitation":"Danner, R.M., Farmer, C., Hess, S., Stephens, R.M., and Banko, P.C., 2010, Survival of feral cats, <i>Felis catus</i> (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines: Pacific Science, v. 64, no. 3, p. 381-389, https://doi.org/10.2984/64.3.381.","productDescription":"8 p.","startPage":"381","endPage":"389","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012399","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":325650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.38650512695312,\n              19.903636146415863\n            ],\n            [\n              -155.44143676757812,\n              19.913965885756145\n            ],\n            [\n              -155.47714233398438,\n              19.91783936409827\n            ],\n            [\n              -155.50872802734375,\n              19.9100923125452\n            ],\n            [\n              -155.58837890625,\n              19.845518806331246\n            ],\n            [\n              -155.61721801757812,\n              19.85326901590216\n            ],\n            [\n              -155.643310546875,\n              19.837768218373313\n            ],\n            [\n              -155.643310546875,\n              19.797717490704738\n            ],\n            [\n              -155.58975219726562,\n              19.770580624242616\n            ],\n            [\n              -155.533447265625,\n              19.73956140498458\n            ],\n            [\n              -155.51010131835938,\n              19.727927643457424\n            ],\n            [\n              -155.46340942382812,\n              19.711121825769855\n            ],\n            [\n              -155.41397094726562,\n              19.724049534671522\n            ],\n            [\n              -155.379638671875,\n              19.76282638490852\n            ],\n            [\n              -155.35766601562497,\n              19.796425363822532\n            ],\n            [\n              -155.35491943359375,\n              19.830017252151734\n            ],\n            [\n              -155.35629272460938,\n              19.872642883577086\n            ],\n            [\n              -155.38650512695312,\n              19.903636146415863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579889cae4b0589fa1c6bb83","contributors":{"authors":[{"text":"Danner, Raymond M.","contributorId":69475,"corporation":false,"usgs":true,"family":"Danner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Chris cfarmer@usgs.gov","contributorId":3681,"corporation":false,"usgs":true,"family":"Farmer","given":"Chris","email":"cfarmer@usgs.gov","affiliations":[],"preferred":true,"id":643567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, Steven C. shess@usgs.gov","contributorId":150178,"corporation":false,"usgs":true,"family":"Hess","given":"Steven C.","email":"shess@usgs.gov","affiliations":[],"preferred":false,"id":643568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Robert M.","contributorId":150182,"corporation":false,"usgs":false,"family":"Stephens","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":17932,"text":"PCSU, robertms@hawaii.edu","active":true,"usgs":false}],"preferred":false,"id":643569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":643570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98540,"text":"ofr20101138 - 2010 - Assembling probabilistic performance parameters of shale-gas wells","interactions":[],"lastModifiedDate":"2012-02-02T00:15:33","indexId":"ofr20101138","displayToPublicDate":"2010-07-22T00:00:00","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":"2010-1138","title":"Assembling probabilistic performance parameters of shale-gas wells","docAbstract":"Shale-gas well productivity estimates in USGS assessments from 1995 to present are based on studies that require decline curve fits and analysis to a large sample or to all wells within a particular assessment unit. Probabilistic type curves can be created on nearly any size well group and were designed for use within a resource context. The probabilistic type curve was designed to improve on the familiar format of a deterministic type curve by showing the full range of production possibilities for a given group of wells. Additional information was added to make certain components, such as data density and nonproducing wells, more explicit.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101138","usgsCitation":"Cook, T., and Charpentier, R., 2010, Assembling probabilistic performance parameters of shale-gas wells: U.S. Geological Survey Open-File Report 2010-1138, ii, 17 p., https://doi.org/10.3133/ofr20101138.","productDescription":"ii, 17 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125953,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1138.jpg"},{"id":13930,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1138/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b2b","contributors":{"authors":[{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":305684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98541,"text":"ofr20101151 - 2010 - Applying probabilistic well-performance parameters to assessments of shale-gas resources","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"ofr20101151","displayToPublicDate":"2010-07-22T00:00:00","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":"2010-1151","title":"Applying probabilistic well-performance parameters to assessments of shale-gas resources","docAbstract":"In assessing continuous oil and gas resources, such as shale gas, it is important to describe not only the ultimately producible volumes, but also the expected well performance. This description is critical to any cost analysis or production scheduling. A probabilistic approach facilitates (1) the inclusion of variability in well performance within a continuous accumulation, and (2) the use of data from developed accumulations as analogs for the assessment of undeveloped accumulations.\n\nIn assessing continuous oil and gas resources of the United States, the U.S. Geological Survey analyzed production data from many shale-gas accumulations. Analyses of four of these accumulations (the Barnett, Woodford, Fayetteville, and Haynesville shales) are presented here as examples of the variability of well performance. For example, the distribution of initial monthly production rates for Barnett vertical wells shows a noticeable change with time, first increasing because of improved completion practices, then decreasing from a combination of decreased reservoir pressure (in infill wells) and drilling in less productive areas.\n\nWithin a partially developed accumulation, historical production data from that accumulation can be used to estimate production characteristics of undrilled areas. An understanding of the probabilistic relations between variables, such as between initial production and decline rates, can improve estimates of ultimate production. Time trends or spatial trends in production data can be clarified by plots and maps. The data can also be divided into subsets depending on well-drilling or well-completion techniques, such as vertical in relation to horizontal wells.\n\nFor hypothetical or lightly developed accumulations, one can either make comparisons to a specific well-developed accumulation or to the entire range of available developed accumulations. Comparison of the distributions of initial monthly production rates of the four shale-gas accumulations that were studied shows substantial overlap. However, because of differences in decline rates among them, the resulting estimated ultimate recovery (EUR) distributions are considerably different.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101151","usgsCitation":"Charpentier, R., and Cook, T., 2010, Applying probabilistic well-performance parameters to assessments of shale-gas resources: U.S. Geological Survey Open-File Report 2010-1151, ii, 18 p., https://doi.org/10.3133/ofr20101151.","productDescription":"ii, 18 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1151.jpg"},{"id":13931,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1151/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a414","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":305686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98534,"text":"ofr20101107 - 2010 - A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data","interactions":[],"lastModifiedDate":"2012-02-02T00:15:33","indexId":"ofr20101107","displayToPublicDate":"2010-07-22T00:00:00","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":"2010-1107","title":"A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data","docAbstract":"This report describes a method to create color-composite images indicative of thick oil:water emulsions on the surface of clear, deep ocean water by using normalized difference ratios derived from remotely sensed data collected by an imaging spectrometer. The spectral bands used in the normalized difference ratios are located in wavelength regions where the spectra of thick oil:water emulsions on the ocean's surface have a distinct shape compared to clear water and clouds. In contrast to quantitative analyses, which require rigorous conversion to reflectance, the method described is easily computed and can be applied rapidly to radiance data or data that have been atmospherically corrected or ground-calibrated to reflectance. Examples are shown of the method applied to Airborne Visible/Infrared Imaging Spectrometer data collected May 17 and May 19, 2010, over the oil spill from the Deepwater Horizon offshore oil drilling platform in the Gulf of Mexico.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101107","usgsCitation":"Kokaly, R., Hoefen, T.M., Livo, K., Swayze, G.A., Leifer, I., McCubbin, I.B., Eastwood, M.L., Green, R., Lundeen, S.R., Sarture, C.M., Steele, D., Ryan, T., Bradley, E.S., Roberts, D.A., and AVIRIS Team, 2010, A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data: U.S. Geological Survey Open-File Report 2010-1107, iii, 9 p., https://doi.org/10.3133/ofr20101107.","productDescription":"iii, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126701,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1107.jpg"},{"id":13924,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1107/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a874b","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":305668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal 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":305657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livo, K. Eric 0000-0001-7331-8130","orcid":"https://orcid.org/0000-0001-7331-8130","contributorId":26338,"corporation":false,"usgs":true,"family":"Livo","given":"K. Eric","affiliations":[],"preferred":false,"id":305660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leifer, Ira","contributorId":57988,"corporation":false,"usgs":true,"family":"Leifer","given":"Ira","email":"","affiliations":[],"preferred":false,"id":305664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCubbin, Ian B.","contributorId":56770,"corporation":false,"usgs":true,"family":"McCubbin","given":"Ian","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":305663,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eastwood, Michael L.","contributorId":63919,"corporation":false,"usgs":true,"family":"Eastwood","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, Robert O.","contributorId":56271,"corporation":false,"usgs":true,"family":"Green","given":"Robert O.","affiliations":[],"preferred":false,"id":305662,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lundeen, Sarah R.","contributorId":26040,"corporation":false,"usgs":true,"family":"Lundeen","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sarture, Charles M.","contributorId":65585,"corporation":false,"usgs":true,"family":"Sarture","given":"Charles","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305667,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Steele, Denis","contributorId":103769,"corporation":false,"usgs":true,"family":"Steele","given":"Denis","email":"","affiliations":[],"preferred":false,"id":305671,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ryan, Thomas","contributorId":101772,"corporation":false,"usgs":true,"family":"Ryan","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":305670,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bradley, Eliza S.","contributorId":30727,"corporation":false,"usgs":true,"family":"Bradley","given":"Eliza","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":305661,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":305669,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"AVIRIS Team","contributorId":128091,"corporation":true,"usgs":false,"organization":"AVIRIS Team","id":535030,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":98535,"text":"sir20105069 - 2010 - Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20105069","displayToPublicDate":"2010-07-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5069","title":"Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009","docAbstract":"In 2007, the U.S. Geological Survey (USGS), in cooperation with City of Aurora, Colorado Springs Utilities, Colorado Water Conservation Board, Lower Arkansas Valley Water Conservancy District, Pueblo Board of Water Works, Southeastern Colorado Water Activity Enterprise, Southeastern Colorado Water Conservancy District, and Upper Arkansas Water Conservancy District began a retrospective evaluation to characterize the occurrence and distribution of dissolved-solids (DS), selenium, and uranium concentrations in groundwater and surface water in the Arkansas River Basin based on available water-quality data collected by several agencies. This report summarizes and characterizes available DS, dissolved-selenium, and dissolved-uranium concentrations in groundwater and surface water for 1970-2009 and describes DS, dissolved-selenium, and dissolved-uranium loads in surface water along the main-stem Arkansas River and selected tributary and diversion sites from the headwaters near Leadville, Colorado, to the USGS 07137500 Arkansas River near Coolidge, Kansas (Ark Coolidge), streamgage, a drainage area of 25,410 square miles.\r\n\r\nDissolved-solids concentrations varied spatially in groundwater and surface water in the Arkansas River Basin. Dissolved-solids concentrations in groundwater from Quaternary alluvial, glacial drift, and wind-laid deposits (HSU 1) increased downgradient with median values of about 220 mg/L in the Upper Arkansas subbasin (Arkansas River Basin from the headwaters to Pueblo Reservoir) to about 3,400 mg/L in the Lower Arkansas subbasin (Arkansas River Basin from John Martin Reservoir to Ark Coolidge). Dissolved-solids concentrations in the Arkansas River also increased substantially in the downstream direction between the USGS 07086000 Arkansas River at Granite, Colorado (Ark Granite), and Ark Coolidge streamgages. Based on periodic data collected from 1976-2007, median DS concentrations in the Arkansas River ranged from about 64 mg/L at Ark Granite to about 4,060 mg/L at Ark Coolidge representing over a 6,000 percent increase in median DS concentrations.\r\n\r\nTemporal variations in specific conductance values (which are directly related to DS concentrations) and seasonal variations in DS concentrations and loads were investigated at selected sites in the Arkansas River from Ark Granite to Ark Coolidge. Analyses indicated that, for the most part, specific conductance values (surrogate for DS concentrations) have remained relatively constant or have decreased in the Arkansas River since about 1970. Dissolved-solids concentrations in the Arkansas River were higher during the nonirrigation season (November-February) than during the irrigation season (March-October). Average annual DS loads, however, were higher during the irrigation season than during the nonirrigation season. Average annual DS loads during the irrigation season were at least two times and as much as 23 times higher than average annual DS loads during the nonirrigation season with the largest differences occurring at sites located downstream from the two main-stem reservoirs at USGS 07099400 Arkansas River above Pueblo, Colorado (Ark Pueblo), (which is below Pueblo Reservoir) and USGS 07130500 Arkansas River below John Martin Reservoir, Colorado (Ark below JMR).\r\n\r\nView report for unabridged abstract.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105069","collaboration":"City of Aurora, Colorado Springs Utilities, Colorado Water Conservation Board, Lower Arkansas Valley Water Conservancy District, Pueblo Board of Water Works, Southeastern Colorado Water Activity Enterprise, Southeastern Colorado Water Conservancy District, Upper Arkansas Water Conservancy District","usgsCitation":"Miller, L.D., Watts, K.R., Ortiz, R.F., and Ivahnenko, 2010, Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009: U.S. Geological Survey Scientific Investigations Report 2010-5069, x, 56 p.; Appendices, https://doi.org/10.3133/sir20105069.","productDescription":"x, 56 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1970-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5069.jpg"},{"id":13925,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5069/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,37 ], [ -107,39.333333333333336 ], [ -102,39.333333333333336 ], [ -102,37 ], [ -107,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696271","contributors":{"authors":[{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kenneth R. krwatts@usgs.gov","contributorId":1647,"corporation":false,"usgs":true,"family":"Watts","given":"Kenneth","email":"krwatts@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivahnenko","contributorId":127984,"corporation":true,"usgs":false,"organization":"Ivahnenko","id":535031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98531,"text":"ds492 - 2010 - Rock Geochemistry and Mineralogy from Fault Zones and Polymetallic Fault Veins of the Central Front Range, Colorado","interactions":[],"lastModifiedDate":"2017-09-26T09:47:37","indexId":"ds492","displayToPublicDate":"2010-07-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"492","title":"Rock Geochemistry and Mineralogy from Fault Zones and Polymetallic Fault Veins of the Central Front Range, Colorado","docAbstract":"During the 2004 to 2008 field seasons, approximately 200 hand samples of fault and polymetallic vein-related rocks were collected for geochemical and mineralogical analyses. The samples were collected by the U.S. Geological Survey as part of the Evolution of Brittle Structures Task under the Central Colorado Assessment Project (CCAP) of the Mineral Resources Program (http://minerals.cr.usgs.gov/projects/colorado_assessment/index.html). The purpose of this work has been to characterize the relation between epithermal, polymetallic mineral deposits, paleostress, and the geological structures that hosted fluid flow and localization of the deposits. The data in this report will be used to document and better understand the processes that control epithermal mineral-deposit formation by attempting to relate the geochemistry of the primary structures that hosted hydrothermal fluid flow to their heat and fluid sources. This includes processes from the scale of the structures themselves to the far field scale, inclusive of the intrusive bodies that have been thought to be the sources for the hydrothermal fluid flow.\r\n\r\nThe data presented in this report are part of a larger assessment effort on public lands. The larger study area spans the region of the southern Rocky Mountains in Colorado from the Wyoming to New Mexico borders and from the eastern boundary of the Front Range to approximately the longitude of Vail and Leadville, Colorado. Although the study area has had an extensive history of geological mapping, the mapping has resulted in a number of hypotheses that are still in their infancy of being tested. For example, the proximity of polymetallic veins to intrusive bodies has been thought to reflect a genetic relation between the two features; however, this idea has not been well tested with geochemical indicators. Recent knowledge regarding the coupled nature of stress, strain, fluid flow, and geochemistry warrant new investigations and approaches to test a variety of ideas regarding the genetic processes associated with ore-deposit formation. The central part of the eastern Front Range has excellent exposures of fault zones and polymetallic fault veins, subsequently resulting in some of the most detailed mapping and associated data sets in the region. Thus, the area was chosen for detailed data compilation, new sample and data collection, and a variety of structural and geochemical analyses. The data presented in this report come from samples of fault-related exposures in the Front Range and include elemental chemistry and mineralogy from the outcrop-scale study localities within the larger CCAP study area.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds492","usgsCitation":"Caine, J.S., and Bove, D.J., 2010, Rock Geochemistry and Mineralogy from Fault Zones and Polymetallic Fault Veins of the Central Front Range, Colorado: U.S. Geological Survey Data Series 492, Report: iv, 6 p.; Tables (XLS, PDF), https://doi.org/10.3133/ds492.","productDescription":"Report: iv, 6 p.; Tables (XLS, PDF)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":125945,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_492.jpg"},{"id":13921,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/492/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6551a8","contributors":{"authors":[{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":305652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bove, Dana J. dbove@usgs.gov","contributorId":4855,"corporation":false,"usgs":true,"family":"Bove","given":"Dana","email":"dbove@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":305651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98530,"text":"sir20095255 - 2010 - StreamStats in Oklahoma– Drainage-basin characteristics and peak-flow frequency statistics for ungaged streams","interactions":[],"lastModifiedDate":"2021-12-03T19:18:57.356447","indexId":"sir20095255","displayToPublicDate":"2010-07-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5255","title":"StreamStats in Oklahoma– Drainage-basin characteristics and peak-flow frequency statistics for ungaged streams","docAbstract":"The USGS Streamflow Statistics (StreamStats) Program was created to make geographic information systems-based estimation of streamflow statistics easier, faster, and more consistent than previously used manual techniques. The StreamStats user interface is a map-based internet application that allows users to easily obtain streamflow statistics, basin characteristics, and other information for user-selected U.S. Geological Survey data-collection stations and ungaged sites of interest. The application relies on the data collected at U.S. Geological Survey streamflow-gaging stations, computer aided computations of drainage-basin characteristics, and published regression equations for several geographic regions comprising the United States. The StreamStats application interface allows the user to (1) obtain information on features in selected map layers, (2) delineate drainage basins for ungaged sites, (3) download drainage-basin polygons to a shapefile, (4) compute selected basin characteristics for delineated drainage basins, (5) estimate selected streamflow statistics for ungaged points on a stream, (6) print map views, (7) retrieve information for U.S. Geological Survey streamflow-gaging stations, and (8) get help on using StreamStats.\r\n\r\nStreamStats was designed for national application, with each state, territory, or group of states responsible for creating unique geospatial datasets and regression equations to compute selected streamflow statistics. With the cooperation of the Oklahoma Department of Transportation, StreamStats has been implemented for Oklahoma and is available at http://water.usgs.gov/osw/streamstats/.\r\n\r\nThe Oklahoma StreamStats application covers 69 processed hydrologic units and most of the state of Oklahoma. Basin characteristics available for computation include contributing drainage area, contributing drainage area that is unregulated by Natural Resources Conservation Service floodwater retarding structures, mean-annual precipitation at the drainage-basin outlet for the period 1961-1990, 10-85 channel slope (slope between points located at 10 percent and 85 percent of the longest flow-path length upstream from the outlet), and percent impervious area. The Oklahoma StreamStats application interacts with the National Streamflow Statistics database, which contains the peak-flow regression equations in a previously published report. Fourteen peak-flow (flood) frequency statistics are available for computation in the Oklahoma StreamStats application. These statistics include the peak flow at 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence intervals for rural, unregulated streams; and the peak flow at 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence intervals for rural streams that are regulated by Natural Resources Conservation Service floodwater retarding structures. Basin characteristics and streamflow statistics cannot be computed for locations in playa basins (mostly in the Oklahoma Panhandle) and along main stems of the largest river systems in the state, namely the Arkansas, Canadian, Cimarron, Neosho, Red, and Verdigris Rivers, because parts of the drainage areas extend outside of the processed hydrologic units.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095255","collaboration":"Prepared in cooperation with the Oklahoma Department of Transportation","usgsCitation":"Smith, S.J., and Esralew, R.A., 2010, StreamStats in Oklahoma– Drainage-basin characteristics and peak-flow frequency statistics for ungaged streams: U.S. Geological Survey Scientific Investigations Report 2009-5255, vi, 59 p., https://doi.org/10.3133/sir20095255.","productDescription":"vi, 59 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological 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,{"id":98533,"text":"sir20105144 - 2010 - Distribution of Isotopic and Environmental Tracers in Groundwater, Northern Ada County, Southwestern Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105144","displayToPublicDate":"2010-07-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5144","title":"Distribution of Isotopic and Environmental Tracers in Groundwater, Northern Ada County, Southwestern Idaho","docAbstract":"Residents of northern Ada County, Idaho, depend on groundwater for domestic and agricultural uses. The population of this area is growing rapidly and groundwater resources must be understood for future water-resource management. The U.S. Geological Survey, in cooperation with the Idaho Department of Water Resources, used a suite of isotopic and environmental tracers to gain a better understanding of groundwater ages, recharge sources, and flowpaths in northern Ada County. Thirteen wells were sampled between September and October 2009 for field parameters, major anions and cations, nutrients, oxygen and hydrogen isotopes, tritium, radiocarbon, chlorofluorocarbons, and dissolved gasses. Well depths ranged from 30 to 580 feet below land surface. Wells were grouped together based on their depth and geographic location into the following four categories: shallow aquifer, intermediate/deep aquifer, Willow Creek aquifer, and Dry Creek aquifer.\r\n\r\nMajor cations and anions indicated calcium-bicarbonate and sodium-bicarbonate water types in the study area. Oxygen and hydrogen isotopes carried an oxygen-18 excess signature, possibly indicating recharge from evaporated sources or water-rock interactions in the subsurface. Chlorofluorocarbons detected modern (post-1940s) recharge in every well sampled; tritium data indicated modern water (post-1951) in seven, predominantly shallow wells. Nutrient concentrations tended to be greater in wells signaling recent recharge based on groundwater age dating, thus confirming the presence of recent recharge in these wells. Corrected radiocarbon results generated estimated residence times from modern to 5,100 years before present. Residence time tended to increase with depth, as confirmed by all three age-tracers. The disagreement among residence times indicates that samples were well-mixed and that the sampled aquifers contain a mixture of young and old recharge. Due to a lack of data, no conclusions about sources of recharge could be drawn from this study.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105144","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Adkins, C.B., and Bartolino, J.R., 2010, Distribution of Isotopic and Environmental Tracers in Groundwater, Northern Ada County, Southwestern Idaho: U.S. Geological Survey Scientific Investigations Report 2010-5144, vi, 30 p. , https://doi.org/10.3133/sir20105144.","productDescription":"vi, 30 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":201504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13923,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5144/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.58333333333333,43.5 ], [ -116.58333333333333,43.833333333333336 ], [ -116,43.833333333333336 ], [ -116,43.5 ], [ -116.58333333333333,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db64878a","contributors":{"authors":[{"text":"Adkins, Candice B.","contributorId":34234,"corporation":false,"usgs":true,"family":"Adkins","given":"Candice","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":305656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305655,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98529,"text":"sir20105093 - 2010 - Sediment oxygen demand in the Saddle River and Salem River watersheds, New Jersey, July-August 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105093","displayToPublicDate":"2010-07-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5093","title":"Sediment oxygen demand in the Saddle River and Salem River watersheds, New Jersey, July-August 2008","docAbstract":"Many factors, such as river depth and velocity, biochemical oxygen demand, and algal productivity, as well as sediment oxygen demand, can affect the concentration of dissolved oxygen in the water column. Measurements of sediment oxygen demand, in conjunction with those of other water-column water-quality constituents, are useful for quantifying the mechanisms that affect in-stream dissolved-oxygen concentrations. Sediment-oxygen-demand rates are also needed to develop and calibrate a water-quality model being developed for the Saddle River and Salem River Basins in New Jersey to predict dissolved-oxygen concentrations. This report documents the methods used to measure sediment oxygen demand in the Saddle River and Salem River watersheds along with the rates of sediment oxygen demand that were obtained during this investigation.\r\n\r\nIn July and August 2008, sediment oxygen demand was measured in situ in the Saddle River and Salem River watersheds. In the Saddle River Basin, sediment oxygen demand was measured twice at two sites and once at a third location; in the Salem River Basin, sediment oxygen demand was measured three times at two sites and once at a third location.\r\n\r\nIn situ measurements of sediment oxygen demand in the Saddle River and Salem River watersheds ranged from 0.8 to 1.4 g/m2d (grams per square meter per day) and from 0.6 to 7.1 g/m2d at 20 degrees Celsius, respectively. Except at one site in this study, rates of sediment oxygen demand generally were low. The highest rate of sediment oxygen demand measured during this investigation, 7.1 g/m2d, which occurred at Courses Landing in the Salem River Basin, may be attributable to the consumption of oxygen by a large amount of organic matter (54 grams per kilogram as organic carbon) in the streambed sediments or to potential error during data collection. In general, sediment oxygen demand increased with the concentration of organic carbon in the streambed sediments. Repeated measurements made 6 to 7 days apart at the same site locations resulted in similar values.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105093","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Heckathorn, H.A., and Gibs, J., 2010, Sediment oxygen demand in the Saddle River and Salem River watersheds, New Jersey, July-August 2008: U.S. Geological Survey Scientific Investigations Report 2010-5093, x, 10 p., https://doi.org/10.3133/sir20105093.","productDescription":"x, 10 p.","additionalOnlineFiles":"N","temporalStart":"2008-07-01","temporalEnd":"2008-08-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":125701,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5093.jpg"},{"id":13919,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5093/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.25,40.833333333333336 ], [ -74.25,41.166666666666664 ], [ -74,41.166666666666664 ], [ -74,40.833333333333336 ], [ -74.25,40.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e632","contributors":{"authors":[{"text":"Heckathorn, Heather A. haheck@usgs.gov","contributorId":1728,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather","email":"haheck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":305647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibs, Jacob jgibs@usgs.gov","contributorId":1729,"corporation":false,"usgs":true,"family":"Gibs","given":"Jacob","email":"jgibs@usgs.gov","affiliations":[],"preferred":true,"id":305648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98528,"text":"ofr20101152 - 2010 - Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010","interactions":[],"lastModifiedDate":"2019-07-17T16:33:27","indexId":"ofr20101152","displayToPublicDate":"2010-07-20T00:00:00","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":"2010-1152","title":"Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010","docAbstract":"In response to a request by the National Oceanic and Atmospheric Administration (NOAA) for computing tsunami propagations in the western Pacific, Eric Geist asked Willie Lee for assistance in providing parameters of earthquakes which may be future tsunami sources. The U.S. Geological Survey (USGS) Tsunami Source Working Group (TSWG) was initiated in August 2005. An ad hoc group of diverse expertise was formed, with Steve Kirby as the leader. The founding members are: Rick Blakely, Eric Geist, Steve Kirby, Willie Lee, George Plafker, Dave Scholl, Roland von Huene, and Ray Wells. Half of the founding members are USGS emeritus scientists. \r\n\r\nA report was quickly completed because of NOAA's urgent need to precalculate tsunami propagation paths for early warning purposes. \r\n\r\nIt was clear to the group that much more work needed to be done to improve our knowledge about tsunami sources worldwide. The group therefore started an informal research program on tsunami sources and meets irregularly to share ideas, data, and results. Because our group activities are open to anyone, we have more participants now, including, for example, Harley Benz and George Choy (USGS, Golden, Colo.), Holly Ryan and Stephanie Ross (USGS, Menlo Park, Calif.), Hiroo Kanamori (Caltech), Emile Okal (Northwestern University), and Gerard Fryer and Barry Hirshorn (Pacific Tsunami Warning Center, Hawaii). \r\n\r\nTo celebrate the fifth anniversary of the TSWG, a workshop is being held in the Auditorium of Building 3, USGS, Menlo Park, on July 19-20, 2010 (Willie Lee and Steve Kirby, Conveners). All talks (except one) will be video broadcast. The first tsunami source workshop was held in April 2006 with about 100 participants from many institutions. This second workshop (on a much smaller scale) will be devoted primarily to recent work by the USGS members. In addition, Hiroo Kanamori (Caltech) will present his recent work on the 1960 and 2010 Chile earthquakes, Barry Hirshorn and Stuart Weinstein (Pacific Tsunami Warning Center) will present their work on tsunami warning, and Rick Wilson (California Geological Survey) will display three posters on tsunami studies by him and his colleagues. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101152","collaboration":"USGS Tsunami Source Working Group (TSWG)","usgsCitation":"Lee, W., Kirby, S.H., and Diggles, M.F., 2010, Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010: U.S. Geological Survey Open-File Report 2010-1152, iv, 31 p., https://doi.org/10.3133/ofr20101152.","productDescription":"iv, 31 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-07-19","temporalEnd":"2010-07-20","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":125700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1152.jpg"},{"id":13918,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1152/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65e166","contributors":{"authors":[{"text":"Lee, W.H.K. (compiler)","contributorId":79599,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","suffix":"(compiler)","email":"","affiliations":[],"preferred":false,"id":305646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, S. H.","contributorId":51721,"corporation":false,"usgs":true,"family":"Kirby","given":"S.","middleInitial":"H.","affiliations":[],"preferred":false,"id":305645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diggles, M. F.","contributorId":39356,"corporation":false,"usgs":true,"family":"Diggles","given":"M.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305644,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98523,"text":"ofr20101123 - 2010 - Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20101123","displayToPublicDate":"2010-07-17T00:00:00","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":"2010-1123","title":"Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma","docAbstract":"The Arbuckle-Simpson aquifer of south-central Oklahoma encompasses more than 850 square kilometers and is the principal water resource for south-central Oklahoma. Rock units comprising the aquifer are characterized by limestone, dolomite, and sandstones assigned to two lower Paleozoic units: the Arbuckle and Simpson Groups. Also considered to be part of the aquifer is the underlying Cambrian-age Timbered Hills Group that contains limestone and sandstone. The highly faulted and fractured nature of the Arbuckle-Simpson units and the variable thickness (600 to 2,750 meters) increases the complexity in determining the subsurface geologic framework of this aquifer. \r\n\r\nA three-dimensional EarthVision (Trademark) geologic framework model was constructed to quantify the geometric relationships of the rock units of the Arbuckle-Simpson aquifer in the Hunton anticline area. This 3-D EarthVision (Trademark) geologic framework model incorporates 54 faults and four modeled units: basement, Arbuckle-Timbered Hills Group, Simpson Group, and post-Simpson. Primary data used to define the model's 54 faults and four modeled surfaces were obtained from geophysical logs, cores, and cuttings from 126 water and petroleum wells. The 3-D framework model both depicts the volumetric extent of the aquifer and provides the stratigraphic layer thickness and elevation data used to construct a MODFLOW version 2000 regional groundwater-flow model.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101123","collaboration":"Prepared in cooperation with Oklahoma State University and the Oklahoma Water Resources Board","usgsCitation":"Faith, J.R., Blome, C.D., Pantea, M.P., Puckette, J.O., Halihan, T., Osborn, N., Christenson, S., and Pack, S., 2010, Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma: U.S. Geological Survey Open-File Report 2010-1123, Report: iii, 26 p.; CD-ROM; Downloads Directory, https://doi.org/10.3133/ofr20101123.","productDescription":"Report: iii, 26 p.; CD-ROM; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":263,"text":"Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":118487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1123.jpg"},{"id":13913,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1123/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.33333333333333,34.166666666666664 ], [ -97.33333333333333,34.666666666666664 ], [ -96.33333333333333,34.666666666666664 ], [ -96.33333333333333,34.166666666666664 ], [ -97.33333333333333,34.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9d2a","contributors":{"authors":[{"text":"Faith, Jason R.","contributorId":92758,"corporation":false,"usgs":true,"family":"Faith","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pantea, Michael P. mpantea@usgs.gov","contributorId":1549,"corporation":false,"usgs":true,"family":"Pantea","given":"Michael","email":"mpantea@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":305625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puckette, James O.","contributorId":60349,"corporation":false,"usgs":true,"family":"Puckette","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":305628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halihan, Todd","contributorId":68856,"corporation":false,"usgs":true,"family":"Halihan","given":"Todd","affiliations":[],"preferred":false,"id":305629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osborn, Noel","contributorId":102975,"corporation":false,"usgs":true,"family":"Osborn","given":"Noel","affiliations":[],"preferred":false,"id":305631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christenson, Scott","contributorId":59128,"corporation":false,"usgs":true,"family":"Christenson","given":"Scott","affiliations":[],"preferred":false,"id":305627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pack, Skip","contributorId":33809,"corporation":false,"usgs":true,"family":"Pack","given":"Skip","email":"","affiliations":[],"preferred":false,"id":305626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":98521,"text":"ofr20101079 - 2010 - Hawaiian Volcano Observatory seismic data, January to March 2009","interactions":[],"lastModifiedDate":"2016-08-29T19:13:38","indexId":"ofr20101079","displayToPublicDate":"2010-07-17T00:00:00","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":"2010-1079","title":"Hawaiian Volcano Observatory seismic data, January to March 2009","docAbstract":"<p>This U.S. Geological Survey (USGS), Hawaiian Volcano Observatory (HVO) summary presents seismic data gathered during January&ndash;March 2009. The seismic summary offers earthquake hypocenters without interpretation as a source of preliminary data and is complete in that most data for events of M&ge;1.5 are included. All latitude and longitude references in this report are stated in Old Hawaiian Datum.</p>\n<p>The HVO summaries have been published in various forms since 1956. Summaries prior to 1974 were issued quarterly, but cost, convenience of preparation and distribution, and the large quantities of data necessitated an annual publication, beginning with Summary 74 for the year 1974. Since 2004, summaries have been identified simply by year, rather than by summary number.</p>\n<p>Summaries originally issued as administrative reports were republished in 2007 as Open-File Reports. All the summaries since 1956 are available at<a href=\"http://pubs.usgs.gov/of/2007/1316-1345/\" target=\"_blank\">http://pubs.usgs.gov/of/2007/1316-1345/</a>&nbsp;(last accessed 02/24/2010). In January 1986, HVO adopted CUSP (<span>C</span>alifornia Institute of Technology&nbsp;<span>U</span>SGS&nbsp;<span>S</span>eismic<span>P</span>rocessing). Summary 86, available at<a href=\"http://pubs.er.usgs.gov/usgspubs/ofr/ofr92301\" target=\"_blank\">http://pubs.er.usgs.gov/usgspubs/ofr/ofr92301</a>&nbsp;(last accessed 02/24/2010), includes a description of the seismic instrumentation, calibration, and processing used in recent years. The present summary includes background information about the seismic network to provide the end user with an understanding of the processing parameters and how the data were gathered.</p>\n<p>Earthworm software, documentation available at&nbsp;<a href=\"http://folkworm.ceri.memphis.edu/ew-doc/\" target=\"_blank\">http://folkworm.ceri.memphis.edu/ew-doc/</a>&nbsp;(last accessed 02/24/2010), was first installed at HVO in 1999 as part of an upgrade to tsunami warning capabilities in the Pacific region. This improved and expanded data exchange with the Pacific Tsunami Warning Center in Ewa Beach, Oahu, that included not only seismic waveforms, but also parametric earthquake data. Although Earthworm does included modules for earthquake triggering and earthquake location, this software was never used to generate catalog hypocenter locations at HVO.</p>\n<p>During 2009, HVO migrated from CUSP to seismic processing software developed by the&nbsp;<span>C</span>alifornia&nbsp;<span>I</span>ntegrated&nbsp;<span>S</span>eismic<span>N</span>etwork or CISN. This software is now referred to as AQMS, for&nbsp;<span>A</span>dvanced National Seismic System&nbsp;<span>Q</span>uake&nbsp;<span>M</span>anagement<span>S</span>ystem. Summary data for this year will be presented in two reports; the first report includes earthquakes processed on the CUSP platform for January&ndash;March; earthquakes for the last three quarters, processed on the AQMS platform, will be published in a separate summary with a description of AQMS production parameters.</p>\n<p>A report by Klein and Koyanagi (USGS Open-File Report 80-302, 1980) tabulates instrumentation, calibration, and recording history of each seismic station in the network. It is designed as a reference for users of seismograms and phase data and includes and augments the information in the station table in this summary.</p>\n<p>Figures 11&ndash;14 are maps showing computer-located hypocenters. The maps were generated using the&nbsp;<span>G</span>eneric&nbsp;<span>M</span>apping&nbsp;<span>T</span>ools (GMT), found at&nbsp;<a href=\"http://gmt.soest.hawaii.edu/\" target=\"_blank\">http://gmt.soest.hawaii.edu/</a>&nbsp;(last accessed 01/22/2010), in place of traditional QPLOT maps.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101079","usgsCitation":"Nakata, J.S., and Okubo, P.G., 2010, Hawaiian Volcano Observatory seismic data, January to March 2009: U.S. Geological Survey Open-File Report 2010-1079, iii, 50 p., https://doi.org/10.3133/ofr20101079.","productDescription":"iii, 50 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":13911,"rank":100,"type":{"id":15,"text":"Index 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