{"pageNumber":"1921","pageRowStart":"48000","pageSize":"25","recordCount":184606,"records":[{"id":98215,"text":"ds495 - 2010 - Perchlorate data for streams and groundwater in selected areas of the United States, 2004","interactions":[],"lastModifiedDate":"2022-07-06T21:38:50.646344","indexId":"ds495","displayToPublicDate":"2010-02-27T00:00:00","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":"495","title":"Perchlorate data for streams and groundwater in selected areas of the United States, 2004","docAbstract":"This report presents data collected as part of a reconnaissance study to evaluate the occurrence of perchlorate in rivers and streams and in shallow aquifers in selected areas of the United States. Perchlorate, a component in rocket fuels, fireworks, and some explosives is soluble in water and persists in soils and water for long periods. It is biologically active at relatively low-levels in the environment, and has been identified as an endocrine-disrupting chemical. The purpose of this reconnaissance was to determine the occurrence of perchlorate in agricultural areas of the Midwestern and North-Central United States and in arid Central and Western parts of the United States.\r\n\r\nSamples were collected from 171 sites on rivers and streams and 146 sites from wells during the summer and early fall of 2004. Samples were collected from surface-water sites in 19 states and from wells in 5 states. Perchlorate was detected in samples collected in 15 states and was detected in 34 of 182 samples from rivers and streams and in 64 of 148 groundwater samples at concentrations equal to or greater than 0.4 micrograms per liter. Perchlorate concentrations were 1.0 micrograms per liter or greater in surface-water samples from seven states and in groundwater samples in four states. Only one surface-water and one groundwater sample had concentrations greater than 5.0 micrograms per liter. Perchlorate concentrations in followup samples collected from 1 to 3 months after the initial sample were unchanged at four of five stream sites.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds495","usgsCitation":"Kalkhoff, S.J., Stetson, S., Lund, K.D., Wanty, R.B., and Linder, G.L., 2010, Perchlorate data for streams and groundwater in selected areas of the United States, 2004: U.S. Geological Survey Data Series 495, iv, 43 p., https://doi.org/10.3133/ds495.","productDescription":"iv, 43 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":196619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403108,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92002.htm","linkFileType":{"id":5,"text":"html"}},{"id":13474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/495/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5614","contributors":{"authors":[{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stetson, Sarah J.","contributorId":100963,"corporation":false,"usgs":true,"family":"Stetson","given":"Sarah J.","affiliations":[],"preferred":false,"id":304685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Kris D. kdlund@usgs.gov","contributorId":1958,"corporation":false,"usgs":true,"family":"Lund","given":"Kris","email":"kdlund@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":304683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Linder, Gregory L.","contributorId":35843,"corporation":false,"usgs":true,"family":"Linder","given":"Gregory","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304684,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98212,"text":"gip96 - 2010 - Tsunami Preparedness in Oregon (video)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"gip96","displayToPublicDate":"2010-02-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"96","title":"Tsunami Preparedness in Oregon (video)","docAbstract":"Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. \r\n\r\nThis video about tsunami preparedness in Oregon distinguishes between a local tsunami and a distant event and focus on the specific needs of this region. It offers guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. \r\n\r\nThis video was produced by the US Geological Survey (USGS) in cooperation with Oregon Department of Geology and Mineral Industries (DOGAMI). \r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip96","collaboration":"In cooperation with Oregon Department of Geology and Mineral Industries (DOGAMI)","usgsCitation":"Loeffler, K., and Gesell, J., 2010, Tsunami Preparedness in Oregon (video): U.S. Geological Survey General Information Product 96, Video; Sound file with alternative text added , https://doi.org/10.3133/gip96.","productDescription":"Video; Sound file with alternative text added ","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":196620,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13469,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/96/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db6241da","contributors":{"authors":[{"text":"Loeffler, Kurt","contributorId":78434,"corporation":false,"usgs":false,"family":"Loeffler","given":"Kurt","affiliations":[],"preferred":false,"id":304675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gesell, Justine","contributorId":18475,"corporation":false,"usgs":true,"family":"Gesell","given":"Justine","email":"","affiliations":[],"preferred":false,"id":304674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98214,"text":"ofr20101042 - 2010 - Biological Evaluations of an Off-Stream Channel, Horizontal Flat-Plate Fish Screen-The Farmers Screen","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ofr20101042","displayToPublicDate":"2010-02-27T00:00:00","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":"2010-1042","title":"Biological Evaluations of an Off-Stream Channel, Horizontal Flat-Plate Fish Screen-The Farmers Screen","docAbstract":"Screens are commonly installed at water diversion sites to reduce entrainment of fish. Recently, the Farmers Irrigation District in Hood River, Oregon, developed a new flat-plate screen design that offers passive operation and may result in reduced operation and installation costs to irrigators. To evaluate the performance (its biological effect on fish) of this type of screen, two size classes of juvenile coho salmon (Oncorhynchus kistuch) were released over a small version of this screen in the field-the Herman Creek screen. The performance of the screen was evaluated over a range of inflow [0.02 to 0.42 m3/s (cubic meters per second)] and diversion flows (0.02 to 0.34 m3/s) at different weir wall heights. The mean approach velocities for the screen ranged from 0 to 5 cm/s (centimeters per second) and mean sweeping velocities ranged from 36 to 178 cm/s. Water depths over the screen surface ranged from 1 to 25 centimeters and were directly related to weir wall height and inflow. Passage of juvenile coho salmon over the screen under a variety of hydraulic conditions did not severely injure them or cause delayed mortality. For all fish, the mean percentage of body surface area that was injured after passage over the screen ranged from about 0.4 to 3.0%. This occurred even though many fish contacted the screen surface during passage. No fish were observed becoming impinged on the screen surface (greater than 1 second contact with the screen). When operated within its design criteria (diversion flows of about 0.28 m3/s), the screen provided safe and effective downstream passage of juvenile salmonids under a variety of hydraulic conditions. However, we do not recommend operating the screen at inflows less than 0.14 m3/s (5 ft3/s) because water depth can get quite shallow and the screen can completely dewater, particularly at very low flows.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101042","usgsCitation":"Mesa, M.G., Rose, B.P., and Copeland, E.S., 2010, Biological Evaluations of an Off-Stream Channel, Horizontal Flat-Plate Fish Screen-The Farmers Screen: U.S. Geological Survey Open-File Report 2010-1042, iv, 18 p., https://doi.org/10.3133/ofr20101042.","productDescription":"iv, 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":125371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1042.png"},{"id":13472,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1042/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623a11","contributors":{"authors":[{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":304678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Brien P. brose@usgs.gov","contributorId":3493,"corporation":false,"usgs":true,"family":"Rose","given":"Brien","email":"brose@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":304679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copeland, Elizabeth S.","contributorId":82415,"corporation":false,"usgs":true,"family":"Copeland","given":"Elizabeth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":304680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98213,"text":"ds480 - 2010 - A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ds480","displayToPublicDate":"2010-02-27T00:00:00","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":"480","title":"A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma","docAbstract":"This CD-ROM contains spatial datasets that describe natural and anthropogenic features and county-level estimates of agricultural pesticide use and pesticide data for surface-water, groundwater, and biological specimens in the state of Oklahoma. County-level estimates of pesticide use were compiled from the Pesticide National Synthesis Project of the U.S. Geological Survey, National Water-Quality Assessment Program. Pesticide data for surface water, groundwater, and biological specimens were compiled from U.S. Geological Survey National Water Information System database. These spatial datasets that describe natural and manmade features were compiled from several agencies and contain information collected by the U.S. Geological Survey. The U.S. Geological Survey datasets were not collected specifically for this compilation, but were previously collected for projects with various objectives.\r\n\r\nThe spatial datasets were created by different agencies from sources with varied quality. As a result, features common to multiple layers may not overlay exactly. Users should check the metadata to determine proper use of these spatial datasets. These data were not checked for accuracy or completeness. If a question of accuracy or completeness arise, the user should contact the originator cited in the metadata. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds480","collaboration":"Prepared by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency Region VI","usgsCitation":"Mashburn, S.L., and Winton, K.T., 2010, A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma: U.S. Geological Survey Data Series 480, CD-ROM; Downloads Directory, https://doi.org/10.3133/ds480.","productDescription":"CD-ROM; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196561,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13471,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/480/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4950e4b0b290850ef0bb","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, Kimberly T.","contributorId":32264,"corporation":false,"usgs":true,"family":"Winton","given":"Kimberly","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":304677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98217,"text":"fs20103008 - 2010 - Assessing groundwater availability in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","interactions":[],"lastModifiedDate":"2022-07-13T18:26:09.753383","indexId":"fs20103008","displayToPublicDate":"2010-02-27T00:00:00","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":"2010-3008","title":"Assessing groundwater availability in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","docAbstract":"The U.S. Geological Survey's Groundwater Resources Program is conducting an assessment of groundwater availability to gain a clearer understanding of the status of the Nation's groundwater resources and the natural and human factors that can affect those resources. The goals of this national effort are to define the current status and improve understanding of the Nation's groundwater resources, to better estimate availability and suitability of those resources for use in the future, and to provide tools to estimate the future availability of ground-water for its various uses. Assessments will be completed for regional aquifer systems across the Nation to help characterize how much water we have, where groundwater resources are most stressed, how groundwater availability is changing, and where groundwater resources are most available for future use.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103008","collaboration":"Groundwater Resources Program","usgsCitation":"Qi, S.L., and Christenson, S., 2010, Assessing groundwater availability in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Fact Sheet 2010-3008, 4 p., https://doi.org/10.3133/fs20103008.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":125375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3008.jpg"},{"id":403666,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92018.htm","linkFileType":{"id":1,"text":"pdf"}},{"id":13475,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3008/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106,\n              31.5167\n            ],\n            [\n              -97,\n              31.5167\n            ],\n            [\n              -97,\n              43\n            ],\n            [\n              -106,\n              43\n            ],\n            [\n              -106,\n              31.5167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672ad4","contributors":{"authors":[{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Scott","contributorId":59128,"corporation":false,"usgs":true,"family":"Christenson","given":"Scott","affiliations":[],"preferred":false,"id":304687,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98211,"text":"gip95 - 2010 - Marin Tsunami (video)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"gip95","displayToPublicDate":"2010-02-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"95","title":"Marin Tsunami (video)","docAbstract":"Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. \r\n\r\nThe Marin coast could be struck by a tsunami. Whether you live in Marin County, visit the beaches, or rent or own a home near the coast, it is vital to understand the tsunami threat and take preparation seriously. Marin Tsunami tells the story of what several West Marin communities are doing to be prepared. \r\n\r\nThis video was produced by the US Geological Survey (USGS) in cooperation with the Marin Office of Emergency Services. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip95","collaboration":"In cooperation with the Marin County Sheriff - Office of Emergency Services","usgsCitation":"Loeffler, K., and Gesell, J., 2010, Marin Tsunami (video): U.S. Geological Survey General Information Product 95, Video; Sound file with alternative text added, https://doi.org/10.3133/gip95.","productDescription":"Video; Sound file with alternative text added","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":196560,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13468,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/95/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db60640d","contributors":{"authors":[{"text":"Loeffler, Kurt","contributorId":78434,"corporation":false,"usgs":false,"family":"Loeffler","given":"Kurt","affiliations":[],"preferred":false,"id":304673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gesell, Justine","contributorId":18475,"corporation":false,"usgs":true,"family":"Gesell","given":"Justine","email":"","affiliations":[],"preferred":false,"id":304672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98208,"text":"gip97 - 2010 - Tsunami Preparedness in Washington (video)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:00","indexId":"gip97","displayToPublicDate":"2010-02-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"97","title":"Tsunami Preparedness in Washington (video)","docAbstract":"Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. \r\n\r\nThis video about tsunami preparedness in Washington distinguishes between a local tsunami and a distant event and focus on the specific needs of this region. It offers guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. \r\n\r\nThis video was produced by the US Geological Survey (USGS) in cooperation with Washington Emergency Management Division (EMD) and with funding by the National Tsunami Hazard Mitigation Program. \r\n\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip97","collaboration":"In cooperation with Washington Emergency Management Division (EMD)","usgsCitation":"2010, Tsunami Preparedness in Washington (video): U.S. Geological Survey General Information Product 97, Video; Sound Only file with alternative text added for the visually impaired, https://doi.org/10.3133/gip97.","productDescription":"Video; Sound Only file with alternative text added for the visually impaired","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":198583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13454,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/97/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db6241ef","contributors":{"editors":[{"text":"Loeffler, Kurt","contributorId":113861,"corporation":false,"usgs":true,"family":"Loeffler","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":505747,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gesell, Justine","contributorId":18475,"corporation":false,"usgs":true,"family":"Gesell","given":"Justine","email":"","affiliations":[],"preferred":false,"id":505746,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":98207,"text":"ofr20101016 - 2010 - Geophysical characterization of Range-Front Faults, Snake Valley, Nevada","interactions":[],"lastModifiedDate":"2017-06-30T10:14:36","indexId":"ofr20101016","displayToPublicDate":"2010-02-24T00:00:00","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":"2010-1016","title":"Geophysical characterization of Range-Front Faults, Snake Valley, Nevada","docAbstract":"In September 2009, the U.S. Geological Survey, in cooperation with the National Park Service, collected audiomagnetotelluric (AMT) data along two profiles on the eastern flank of the Snake Range near Great Basin National Park to refine understanding of the subsurface geology. Line 1 was collected along Baker Creek, was approximately 6.7-km long, and recorded subsurface geologic conditions to approximately 800-m deep. Line 2, collected farther to the southeast in the vicinity of Kious Spring, was 2.8-km long, and imaged to depths of approximately 600 m. The two AMT lines are similar in their electrical response and are interpreted to show generally similar subsurface geologic conditions. The geophysical response seen on both lines may be described by three general domains of electrical response: (1) a shallow (mostly less than 100-200-m deep) domain of highly variable resistivity, (2) a deep domain characterized by generally high resistivity that gradually declines eastward to lower resistivity with a steeply dipping grain or fabric, and (3) an eastern domain in which the resistivity character changes abruptly at all depths from that in the western domain. The shallow, highly variable domain is interpreted to be the result of a heterogeneous assemblage of Miocene conglomerate and incorporated megabreccia blocks overlying a shallowly eastward-dipping southern Snake Range detachment fault. The deep domain of generally higher resistivity is interpreted as Paleozoic sedimentary rocks (Pole Canyon limestone and Prospect Mountain Quartzite) and Mesozoic and Cenozoic plutonic rocks occurring beneath the detachment surface. The range of resistivity values within this deep domain may result from fracturing adjacent to the detachment, the presence of Paleozoic rock units of variable resistivities that do not crop out in the vicinity of the lines, or both. The eastern geophysical domain is interpreted to be a section of Miocene strata at depth, overlain by Quaternary alluvial fill. These deposits lie east of a steeply east-dipping normal fault that cuts all units and has about 100 m of east-side-down offset. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101016","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Asch, T., and Sweetkind, D., 2010, Geophysical characterization of Range-Front Faults, Snake Valley, Nevada: U.S. Geological Survey Open-File Report 2010-1016, v, 226 p., https://doi.org/10.3133/ofr20101016.","productDescription":"v, 226 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-09-01","temporalEnd":"2009-09-30","ipdsId":"IP-021904","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1016.jpg"},{"id":13453,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1016/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.53333333333333,38.666666666666664 ], [ -114.53333333333333,39.18333333333333 ], [ -113.96666666666667,39.18333333333333 ], [ -113.96666666666667,38.666666666666664 ], [ -114.53333333333333,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4c5","contributors":{"authors":[{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":304664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":304663,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208550,"text":"70208550 - 2010 - Accessing free Landsat data via the Internet: Africa's challenge","interactions":[],"lastModifiedDate":"2020-02-20T10:05:24","indexId":"70208550","displayToPublicDate":"2010-02-23T13:37:50","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Accessing free Landsat data via the Internet: Africa's challenge","docAbstract":"<p><span>Since January 2008, the US Department of Interior/US Geological Survey has been providing terrain-corrected Landsat data over the Internet for free. This letter reports the size and proportion of the US Landsat archive that is over Africa by each Landsat sensor, discusses the implications of missing data and highlights the current bandwidth constraints on users accessing free Landsat data over the Internet from Africa.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160903486693","usgsCitation":"Roy, D.P., Ju, J., Mbow, Frost, P., and Loveland, T., 2010, Accessing free Landsat data via the Internet: Africa's challenge: Remote Sensing Letters, v. 1, no. 2, p. 111-117, https://doi.org/10.1080/01431160903486693.","productDescription":"7 p.","startPage":"111","endPage":"117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431160903486693","text":"Publisher Index Page"},{"id":372363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              34.95849609375,\n              29.49698759653577\n            ],\n            [\n              34.21142578125,\n              31.372399104880525\n            ],\n            [\n              30.563964843750004,\n              31.970803930433096\n            ],\n            [\n              21.68701171875,\n              33.37641235124676\n            ],\n            [\n              11.2939453125,\n              34.07086232376631\n            ],\n            [\n              11.7333984375,\n              35.94243575255426\n            ],\n            [\n              11.00830078125,\n              37.47485808497102\n            ],\n            [\n              8.54736328125,\n              37.42252593456307\n            ],\n            [\n              3.427734375,\n              37.31775185163688\n            ],\n            [\n              0.41748046875,\n              36.518465989675875\n            ],\n            [\n              -3.0322265625,\n              35.54116627999815\n            ],\n            [\n              -4.4384765625,\n              35.36665566526249\n            ],\n            [\n              -5.3118896484375,\n              35.951329861522666\n            ],\n            [\n              -6.0150146484375,\n              35.831174956246535\n            ],\n            [\n              -6.448974609375,\n              34.92197103616377\n            ],\n            [\n              -19.335937499999996,\n              32.91648534731439\n            ],\n            [\n              -19.1162109375,\n              28.536274512989916\n            ],\n            [\n              -18.3251953125,\n              20.282808691330054\n            ],\n            [\n              -26.015625,\n              17.18277905643184\n            ],\n            [\n              -24.873046874999996,\n              14.030014548014327\n            ],\n            [\n              -16.5673828125,\n              10.531020008464989\n            ],\n            [\n              -7.5146484375,\n              2.767477951092084\n            ],\n            [\n              3.8891601562499996,\n              5.200364681183489\n            ],\n            [\n              6.30615234375,\n              -1.537901237431487\n            ],\n            [\n              12.15087890625,\n              -8.18974234438369\n            ],\n            [\n              12.7001953125,\n              -10.984335146101955\n            ],\n            [\n              10.0634765625,\n              -17.35063837604883\n            ],\n            [\n              13.403320312499998,\n              -22.228090416784486\n            ],\n            [\n              14.589843749999998,\n              -27.80020993741824\n            ],\n            [\n              17.578125,\n              -32.36140331527542\n            ],\n            [\n              17.885742187499996,\n              -34.488447837809304\n            ],\n            [\n              19.86328125,\n              -35.31736632923786\n            ],\n            [\n              26.9384765625,\n              -34.27083595164999\n            ],\n            [\n              33.662109375,\n              -28.110748760633534\n            ],\n            [\n              54.5361328125,\n              -24.287026865376422\n            ],\n            [\n              59.67773437500001,\n              -19.973348786110602\n            ],\n            [\n              57.216796875,\n              -2.5479878714713835\n            ],\n            [\n              51.2841796875,\n              8.146242825034385\n            ],\n            [\n              51.8994140625,\n              12.425847783029134\n            ],\n            [\n              44.0771484375,\n              11.781325296112277\n            ],\n            [\n              40.2099609375,\n              18.312810846425442\n            ],\n            [\n              34.365234375,\n              28.34306490482549\n            ],\n            [\n              34.95849609375,\n              29.49698759653577\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, David P.","contributorId":71083,"corporation":false,"usgs":true,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":782397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ju, Junchang","contributorId":222521,"corporation":false,"usgs":false,"family":"Ju","given":"Junchang","email":"","affiliations":[],"preferred":false,"id":782398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mbow","contributorId":198826,"corporation":false,"usgs":false,"family":"Mbow","email":"","affiliations":[],"preferred":false,"id":782399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Philip","contributorId":222523,"corporation":false,"usgs":false,"family":"Frost","given":"Philip","email":"","affiliations":[],"preferred":false,"id":782400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173408,"text":"70173408 - 2010 - Ecoregion and land-use influence invertebrate and detritus transport from headwater streams","interactions":[],"lastModifiedDate":"2016-06-20T18:34:38","indexId":"70173408","displayToPublicDate":"2010-02-23T13:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregion and land-use influence invertebrate and detritus transport from headwater streams","docAbstract":"<p class=\"p1\"><span class=\"s1\"><strong>Summary</strong> 1. Habitats are often connected by fluxes of energy and nutrients across their boundaries. For example, headwater streams are linked to surrounding riparian vegetation through invertebrate and leaf litter inputs, and there is evidence that consumers in downstream habitats are subsidised by resources flowing from headwater systems. However, the strength of these linkages and the manner in which potential headwater subsidies vary along climatic and disturbance gradients are unknown.</span></p>\n<p class=\"p1\"><span class=\"s1\">2. We quantified the downstream transport of invertebrates, organic matter and inorganic sediment from 60 fishless headwater streams in the Wenatchee River Basin located on the eastern slope of the Cascade Range in Washington, U.S.A. Streams were classified into four groups (each <i>n</i>&nbsp;=&nbsp;15) based on their position within two ecological subregions (wet and dry) and the extent of past timber harvest and road development (logged and unlogged).</span></p>\n<p class=\"p1\"><span class=\"s1\">3. Time and ecoregion were significant for all response variables as transport varied across sampling periods, and dry ecoregion streams displayed significantly higher mean values. Logged sites also generally showed higher mean transport, but only inorganic sediment transport was significantly higher in logged sites. Both ecoregion and land-use interacted significantly with time depending on the response variable. Differences among stream categories were driven by relatively low levels of transport in unlogged drainages of the wet ecoregion. Interestingly, unlogged dry ecoregion streams showed comparable transport rates to logged sites in the wet ecoregion. Dominance by deciduous riparian vegetation in all but unlogged streams in the wet ecoregion is a primary hypothesised mechanism determining transport dynamics in our study streams.</span></p>\n<p class=\"p2\"><span class=\"s2\">4. Understanding the quantity and variation of headwater subsidies across climate and disturbance gradients is needed to appreciate the significance of ecological linkages between headwaters and associated downstream habitats. This will enable the accurate assessment of resource management impacts on stream ecosystems. Predicting the consequences of natural and anthropogenic disturbances on headwater stream transport rates will require knowledge of how both local and regional factors influence these potential subsidies. Our results suggest that resources transported from headwater streams reflect both the meso-scale land-use surrounding these areas and the constraints imposed by the ecoregion in which they are embedded.</span></p>","language":"English","publisher":"Blackwell Science","doi":"10.1111/j.1365-2427.2009.02344.x","usgsCitation":"Binckley, C.A., Wipfli, M.S., Medhurst, R.B., Polivka, K., Hessburg, P.F., Salter, R.B., and Kill, J.Y., 2010, Ecoregion and land-use influence invertebrate and detritus transport from headwater streams: Freshwater Biology, v. 55, no. 6, p. 1205-1218, https://doi.org/10.1111/j.1365-2427.2009.02344.x.","productDescription":"14 p.","startPage":"1205","endPage":"1218","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014628","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Mountains, Wenatchee National Forest, Wenatchee River subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.48681640624999,\n              46.76244305208004\n            ],\n            [\n              -121.48681640624999,\n              48.669198799260045\n            ],\n            [\n              -118.564453125,\n              48.669198799260045\n            ],\n            [\n              -118.564453125,\n              46.76244305208004\n            ],\n            [\n              -121.48681640624999,\n              46.76244305208004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-10","publicationStatus":"PW","scienceBaseUri":"576913b6e4b07657d19ff022","contributors":{"authors":[{"text":"Binckley, Christopher A.","contributorId":172212,"corporation":false,"usgs":false,"family":"Binckley","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medhurst, R. Bruce","contributorId":58480,"corporation":false,"usgs":false,"family":"Medhurst","given":"R.","email":"","middleInitial":"Bruce","affiliations":[],"preferred":false,"id":639957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polivka, Karl","contributorId":80093,"corporation":false,"usgs":false,"family":"Polivka","given":"Karl","email":"","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hessburg, Paul F.","contributorId":46481,"corporation":false,"usgs":false,"family":"Hessburg","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salter, R. Brion","contributorId":97718,"corporation":false,"usgs":false,"family":"Salter","given":"R.","email":"","middleInitial":"Brion","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kill, Joshua Y.","contributorId":172213,"corporation":false,"usgs":false,"family":"Kill","given":"Joshua","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":639961,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98205,"text":"sir20105025 - 2010 - Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona","interactions":[{"subject":{"id":70189667,"text":"sir20105025D - 2010 - Biological pathways of exposure and ecotoxicity values for uranium and associated radionuclides: Chapter D in Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona","indexId":"sir20105025D","publicationYear":"2010","noYear":false,"chapter":"D","displayTitle":"Biological pathways of exposure and ecotoxicity values for uranium and associated radionuclides: Chapter D in <i>Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona</i>","title":"Biological pathways of exposure and ecotoxicity values for uranium and associated radionuclides: Chapter D in Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona"},"predicate":"IS_PART_OF","object":{"id":98205,"text":"sir20105025 - 2010 - Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona","indexId":"sir20105025","publicationYear":"2010","noYear":false,"title":"Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona"},"id":1}],"lastModifiedDate":"2019-07-26T10:46:38","indexId":"sir20105025","displayToPublicDate":"2010-02-20T00:00:00","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":"2010-5025","title":"Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona","docAbstract":"On July 21, 2009, U.S. Secretary of the Interior Ken Salazar proposed a two-year withdrawal of about 1 million acres of Federal land near the Grand Canyon from future mineral entry. These lands are contained in three parcels: two parcels on U.S. Bureau of Land Management land to the north of the Grand Canyon (North and East Segregation Areas) and one on the Kaibab National Forest south of the Grand Canyon (South Segregation Area). The purpose of the two-year withdrawal is to examine the potential effects of restricting these areas from new mine development for the next 20 years. This proposed withdrawal initiated a period of study during which the effects of the withdrawal must be evaluated. At the direction of the Secretary, the U.S. Geological Survey began a series of short-term studies designed to develop additional information about the possible effects of uranium mining on the natural resources of the region. Dissolved uranium and other major, minor, and trace elements occur naturally in groundwater as the result of precipitation infiltrating from the surface to water-bearing zones and, presumably, to underlying regional aquifers. Discharges from these aquifers occur as seeps and springs throughout the region and provide valuable habitat and water sources for plants and animals. Uranium mining within the watershed may increase the amount of radioactive materials and heavy metals in the surface water and groundwater flowing into Grand Canyon National Park and the Colorado River, and deep mining activities may increase mobilization of uranium through the rock strata into the aquifers. In addition, waste rock and ore from mined areas may be transported away from the mines by wind and runoff.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105025","usgsCitation":"2010, Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5025, iii, 353 p., https://doi.org/10.3133/sir20105025.","productDescription":"iii, 353 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":529,"text":"Pacific Southwest Regional Executive Office","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":125826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5025.jpg"},{"id":13448,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5025/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35.5 ], [ -114,37.083333333333336 ], [ -111.5,37.083333333333336 ], [ -111.5,35.5 ], [ -114,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db60521e","contributors":{"editors":[{"text":"Alpine, Andrea E.","contributorId":54927,"corporation":false,"usgs":true,"family":"Alpine","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":505745,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":98204,"text":"ds494 - 2010 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","interactions":[],"lastModifiedDate":"2022-07-13T18:45:41.08495","indexId":"ds494","displayToPublicDate":"2010-02-18T00:00:00","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":"494","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa area. Municipal wells are completed in the alluvial aquifer at approximately 40 to 80 feet deep. The City of Cedar Rapids and the U.S. Geological Survey have been conducting a cooperative study of the groundwater-flow system and water quality near the well fields since 1992. Previous cooperative studies between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, evaluation of surface and ground-water interaction, assessment of pesticides in groundwater and surface water, and to evaluate water quality near a wetland area in the Seminole well field. Typical water-quality analyses included major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, nitrite as nitrogen, nitrite plus nitrate as nitrogen, and orthophosphate as phosphorus), dissolved organic carbon, and selected pesticides including two degradates of the herbicide atrazine. In addition, two synoptic samplings included analyses of additional pesticide degradates in water samples. Physical field parameters (alkalinity, dissolved oxygen, pH, specific conductance and water temperature) were recorded with each water sample collected. This report presents the results of water quality data-collection activities from January 1999 through December 2005. Methods of data collection, quality-assurance samples, water-quality analyses, and statistical summaries are presented. Data include the results of water-quality analyses from quarterly and synoptic sampling from monitoring wells, municipal wells, and the Cedar River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds494","collaboration":"In cooperation with the City of Cedar Rapids","usgsCitation":"Littin, G.R., and Schnoebelen, D.J., 2010, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005: U.S. Geological Survey Data Series 494, v, 52 p., https://doi.org/10.3133/ds494.","productDescription":"v, 52 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1999-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_494.jpg"},{"id":403668,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91654.htm","linkFileType":{"id":5,"text":"html"}},{"id":13447,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/494/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"iowa","city":"Cedar Rapids","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.74837112426758,\n              41.981186979424656\n            ],\n            [\n              -91.66666030883789,\n              41.981186979424656\n            ],\n            [\n              -91.66666030883789,\n              42.03373934666248\n            ],\n            [\n              -91.74837112426758,\n              42.03373934666248\n            ],\n            [\n              -91.74837112426758,\n              41.981186979424656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d0e4b07f02db54654f","contributors":{"authors":[{"text":"Littin, Gregory R. grlittin@usgs.gov","contributorId":1732,"corporation":false,"usgs":true,"family":"Littin","given":"Gregory","email":"grlittin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":304660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schnoebelen, Douglas J.","contributorId":87514,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175128,"text":"70175128 - 2010 - How are native forest birds doing at the Pu`u Wa`awa`a Forest Bird Sanctuary?","interactions":[],"lastModifiedDate":"2017-05-04T08:41:42","indexId":"70175128","displayToPublicDate":"2010-02-17T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":601,"text":"'Elepaio","printIssn":"0013-6069","active":true,"publicationSubtype":{"id":10}},"title":"How are native forest birds doing at the Pu`u Wa`awa`a Forest Bird Sanctuary?","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Hawai'i Audobon Society","publisherLocation":"Honolulu, HI","usgsCitation":"Pratt, T.K., Gorresen, P.M., and Camp, R.J., 2010, How are native forest birds doing at the Pu`u Wa`awa`a Forest Bird Sanctuary?: 'Elepaio, v. 70, no. 1, p. 1-4.","productDescription":"5 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015919","costCenters":[],"links":[{"id":325851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.0443115234375,\n              19.76153397502331\n            ],\n            [\n              -155.95916748046875,\n              19.756364230752375\n            ],\n            [\n              -155.863037109375,\n              19.74343913716519\n            ],\n            [\n              -155.81634521484375,\n              19.722756810828194\n            ],\n            [\n              -155.8026123046875,\n              19.673625561844393\n            ],\n            [\n              -155.84106445312497,\n              19.6400007606439\n            ],\n            [\n              -155.93170166015625,\n              19.60895623060675\n            ],\n            [\n              -155.97564697265625,\n              19.601194161263145\n            ],\n            [\n              -156.02783203124997,\n              19.606368915776006\n            ],\n            [\n              -156.06353759765625,\n              19.645174265699048\n            ],\n            [\n              -156.038818359375,\n              19.660693780212217\n            ],\n            [\n              -156.05804443359375,\n              19.699485994162497\n            ],\n            [\n              -156.06903076171875,\n              19.740853992842734\n            ],\n            [\n              -156.0443115234375,\n              19.76153397502331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579c7e2be4b0589fa1ca11ed","contributors":{"authors":[{"text":"Pratt, Thane K. tkpratt@usgs.gov","contributorId":5495,"corporation":false,"usgs":true,"family":"Pratt","given":"Thane","email":"tkpratt@usgs.gov","middleInitial":"K.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":644037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorresen, P. Marcos mgorresen@usgs.gov","contributorId":3975,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"Marcos","affiliations":[],"preferred":false,"id":644038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":116175,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":644039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208548,"text":"70208548 - 2010 - Report on international conference on geo-spatial solutions for emergency management 2009","interactions":[],"lastModifiedDate":"2020-02-20T10:06:13","indexId":"70208548","displayToPublicDate":"2010-02-17T13:19:47","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2052,"text":"International Journal of Image and Data Fusion","active":true,"publicationSubtype":{"id":10}},"title":"Report on international conference on geo-spatial solutions for emergency management 2009","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19479830903562082","usgsCitation":"Lu, Z., 2010, Report on international conference on geo-spatial solutions for emergency management 2009: International Journal of Image and Data Fusion, v. 1, no. 1, p. 109-112, https://doi.org/10.1080/19479830903562082.","productDescription":"4 p.","startPage":"109","endPage":"112","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19479830903562082","text":"Publisher Index Page"},{"id":372350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":782387,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004065,"text":"70004065 - 2010 - Suspended-sediment sources in an urban watershed, Northeast Branch Anacostia River, Maryland","interactions":[],"lastModifiedDate":"2021-01-22T20:03:50.765662","indexId":"70004065","displayToPublicDate":"2010-02-17T11:32:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Suspended-sediment sources in an urban watershed, Northeast Branch Anacostia River, Maryland","docAbstract":"<p><span>Fine sediment&nbsp;</span><span class=\"ScopusTermHighlight\">sources</span><span>&nbsp;were characterized by chemical composition&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;an&nbsp;</span><span class=\"ScopusTermHighlight\">urban</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">watershed</span><span>, the&nbsp;</span><span class=\"ScopusTermHighlight\">Northeast</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Branch</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Anacostia</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">River</span><span>, which drains to the Chesapeake Bay. Concentrations of 63 elements and two radionuclides were measured&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;possible land-based sediment&nbsp;</span><span class=\"ScopusTermHighlight\">sources</span><span>&nbsp;and&nbsp;</span><span class=\"ScopusTermHighlight\">suspended sediment</span><span>&nbsp;collected from the water column at the&nbsp;</span><span class=\"ScopusTermHighlight\">watershed</span><span>&nbsp;outlet during storm events. These tracer concentrations were used to determine the relative quantity of&nbsp;</span><span class=\"ScopusTermHighlight\">suspended sediment</span><span>&nbsp;contributed by each&nbsp;</span><span class=\"ScopusTermHighlight\">source</span><span>. Although this is an urbanized&nbsp;</span><span class=\"ScopusTermHighlight\">watershed</span><span>, there was not a distinct&nbsp;</span><span class=\"ScopusTermHighlight\">urban</span><span>&nbsp;signature that can be evaluated except for the contributions from road surfaces. We identified the&nbsp;</span><span class=\"ScopusTermHighlight\">sources</span><span>&nbsp;of fine sediment by both physiographic province (Piedmont and Coastal Plain) and&nbsp;</span><span class=\"ScopusTermHighlight\">source</span><span>&nbsp;locale (streambanks, upland and street residue) by using different sets of elemental tracers. The Piedmont contributed the majority of the fine sediment for seven of the eight measured storms. The streambanks contributed the greatest quantity of fine sediment when evaluated by&nbsp;</span><span class=\"ScopusTermHighlight\">source</span><span>&nbsp;locale. Street residue contributed 13% of the total&nbsp;</span><span class=\"ScopusTermHighlight\">suspended sediment</span><span>&nbsp;on average and was the&nbsp;</span><span class=\"ScopusTermHighlight\">source</span><span>&nbsp;most concentrated&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;anthropogenically enriched elements. Combining results from the&nbsp;</span><span class=\"ScopusTermHighlight\">source</span><span>&nbsp;locale and physiographic province analyses, most fine sediment&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the&nbsp;</span><span class=\"ScopusTermHighlight\">Northeast</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Branch</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">watershed</span><span>&nbsp;is derived from streambanks that contain sediment eroded from the Piedmont physiographic province of the&nbsp;</span><span class=\"ScopusTermHighlight\">watershed</span><span>. Sediment fingerprinting analyses are most useful when longer term evaluations of sediment erosion and storage are also available from streambankerosion measurements, sediment budget and other methods.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7604","usgsCitation":"Devereux, O.H., Prestegaard, K.L., Needelman, B.A., and Gellis, A., 2010, Suspended-sediment sources in an urban watershed, Northeast Branch Anacostia River, Maryland: Hydrological Processes, v. 24, no. 11, p. 1391-1403, https://doi.org/10.1002/hyp.7604.","productDescription":"13 p.","startPage":"1391","endPage":"1403","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":382518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Anacostia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.94103240966797,\n              38.94445718138944\n            ],\n            [\n              -76.95064544677734,\n              38.941653403182116\n            ],\n            [\n              -76.95596694946289,\n              38.916280846543984\n            ],\n            [\n              -76.94257736206055,\n              38.90946877327506\n            ],\n            [\n              -76.93416595458984,\n              38.92402711565758\n            ],\n            [\n              -76.94103240966797,\n              38.94445718138944\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-02-17","publicationStatus":"PW","scienceBaseUri":"505ba315e4b08c986b31fb8d","contributors":{"authors":[{"text":"Devereux, Olivia H.","contributorId":97238,"corporation":false,"usgs":true,"family":"Devereux","given":"Olivia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":350401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prestegaard, Karen L.","contributorId":23266,"corporation":false,"usgs":true,"family":"Prestegaard","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Needelman, Brian A.","contributorId":19693,"corporation":false,"usgs":true,"family":"Needelman","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":350398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98202,"text":"sir20095239 - 2010 - Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009","interactions":[],"lastModifiedDate":"2017-01-17T10:27:49","indexId":"sir20095239","displayToPublicDate":"2010-02-17T00:00:00","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":"2009-5239","title":"Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009","docAbstract":"The U.S. Geological Survey and the Naval Facilities Engineering Command Southeast investigated the hydrology and groundwater chemistry in the vicinity of an emulsified vegetable-oil injection zone at Solid Waste Management Unit (SWMU) 17, Naval Weapons Station Charleston, North Charleston, South Carolina. In May 2004, Solutions-IES initiated a Phase-I pilot-scale treatability study at SWMU17 involving the injection of an edible oil emulsion into the aquifer near wells 17PS-01, 17PS-02, and 17PS-03 to treat chlorinated solvents. The Phase-I injection of emulsified vegetable oil resulted in dechlorination of trichloroethene (TCE) to cis-1,2-dichloroethene (cDCE), but the dechlorination activity appeared to stall at cDCE, with little further dechlorination of cDCE to vinyl chloride (VC) or to ethene. The purpose of the present investigation was to examine the groundwater hydrology and chemistry in and near the injection zone to gain a better understanding of the apparent remediation stall. It is unlikely that the remediation stall was due to the lack of an appropriate microbial community because groundwater samples showed the presence of Dehalococcoides species (sp.) and suitable enyzmes. The probable causes of the stall were heterogeneous distribution of the injectate and development of low-pH conditions in the injection area. Because groundwater pH values in the injection area were below the range considered optimum for dechlorination activity, a series of tests was done to examine the effect on dechlorination of increasing the pH within well 17PS-02. During and following the in-well pH-adjustment tests, VC concentrations gradually increased in some wells in the injection zone that were not part of the in-well pH-adjustment tests. These data possibly reflect a gradual microbial acclimation to the low-pH conditions produced by the injection. In contrast, a distinct increase in VC concentration was observed in well 17PS-02 following the in-well pH increase. Adjustment of the pH to near-neutral values in well 17PS-02 may have made that well relatively favorable to VC production compared with much of the rest of the injection zone, possibly accounting for acceleration of VC production at that well. Following a Phase-II injection in which Solutions-IES, Inc., injected pH-buffered emulsified vegetable oil with an improved efficiency injection approach, 1,1-dichloroethene, TCE, and cDCE rapidly decreased in concentration and are now (2009) undetectable in the injection zone, with the exception of a low concentration (43 micrograms per liter, August 2009) of cDCE in well 17PS-01. In August 2009, VC was still present in groundwater at the test wells in concentrations ranging from 150 to 640 micrograms per liter. The Phase-II injection, however, appears to have locally decreased aquifer permeability, possibly resulting in movement of contamination around, rather than through, the treatment area.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095239","usgsCitation":"Vroblesky, D.A., Petkewich, M.D., Lowery, M.A., Conlon, K.J., and Casey, C.C., 2010, Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009: U.S. Geological Survey Scientific Investigations Report 2009-5239, viii, 31 p., https://doi.org/10.3133/sir20095239.","productDescription":"viii, 31 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-05-01","temporalEnd":"2009-08-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":13445,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5239/","linkFileType":{"id":5,"text":"html"}},{"id":126286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5239.jpg"}],"country":"United States","state":"North Carolina","city":"North Charleston","otherGeospatial":"Naval Weapons Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.03333333333333,32.88333333333333 ], [ -80.03333333333333,33.03333333333333 ], [ -79.88333333333334,33.03333333333333 ], [ -79.88333333333334,32.88333333333333 ], [ -80.03333333333333,32.88333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696387","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conlon, Kevin J. 0000-0003-0798-368X kjconlon@usgs.gov","orcid":"https://orcid.org/0000-0003-0798-368X","contributorId":2561,"corporation":false,"usgs":true,"family":"Conlon","given":"Kevin","email":"kjconlon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":304657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Clifton C.","contributorId":15140,"corporation":false,"usgs":true,"family":"Casey","given":"Clifton","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98201,"text":"ds488 - 2010 - Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ds488","displayToPublicDate":"2010-02-17T00:00:00","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":"488","title":"Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","docAbstract":"Water-quality data from selected surface-water monitoring sites in the Southeastern United States were assessed for trends in concentrations of nutrients, suspended sediment, and major constituents and for in-stream nutrient and suspended-sediment loads for the period 1973-2005. The area of interest includes river basins draining into the southern Atlantic Ocean, the Gulf of Mexico, and the Tennessee River-drainage basins in Hydrologic Regions 03 (South Atlantic - Gulf) and 06 (Tennessee). This data assessment is related to studies of several major river basins as part of the U.S. Geological Survey National Water-Quality Assessment Program, which was designed to assess national water-quality trends during a common time period (1993-2004).\r\n\r\nIncluded in this report are data on which trend tests could be performed from 44 U.S. Geological Survey National Water Information System (NWIS) sampling sites. The constituents examined include major ions, nutrients, and suspended sediment; the physical properties examined include pH, specific conductance, dissolved oxygen, and streamflow. Also included are data that were tested for trends from an additional 290 sites from the U.S. Environmental Protection Agency Storage and Retrieval (STORET) database. The trend analyses of the STORET data were limited to total nitrogen and total phosphorus concentrations. Data from 48 U.S. Geological Survey NWIS sampling sites with sufficient water-quality and continuous streamflow data for estimating nutrient and sediment loads are included. \r\n\r\nThe methods of data compilation and modification used prior to performing trend tests and load estimation are described. Results of the seasonal Kendall trend test and the Tobit trend test are given for the 334 monitoring sites, and in-stream load estimates are given for the 48 monitoring sites. Basin characteristics are provided, including regional landscape variables and agricultural nutrient sources (annual variations in cropping and fertilizer use). The data and results presented in this report are in tabular format and can be downloaded and used by environmental researchers and water managers, particularly in the Southeast.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds488","usgsCitation":"Staub, E.L., Peak, K.L., Tighe, K., Sadorf, E.M., and Harned, D.A., 2010, Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005: U.S. Geological Survey Data Series 488, Data Tables; Report: HTML, https://doi.org/10.3133/ds488.","productDescription":"Data Tables; Report: HTML","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":130283,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14259,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/488/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers, Meters, Datum","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,26.6 ], [ -89,39.15 ], [ -75.46666666666667,39.15 ], [ -75.46666666666667,26.6 ], [ -89,26.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67cac6","contributors":{"authors":[{"text":"Staub, Erik L. elstaub@usgs.gov","contributorId":2244,"corporation":false,"usgs":true,"family":"Staub","given":"Erik","email":"elstaub@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":304651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peak, Kelly L.","contributorId":81056,"corporation":false,"usgs":true,"family":"Peak","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tighe, Kirsten C.","contributorId":99930,"corporation":false,"usgs":true,"family":"Tighe","given":"Kirsten C.","affiliations":[],"preferred":false,"id":304654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sadorf, Eric M. emsadorf@usgs.gov","contributorId":2245,"corporation":false,"usgs":true,"family":"Sadorf","given":"Eric","email":"emsadorf@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":304652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98200,"text":"sir20105004 - 2010 - Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105004","displayToPublicDate":"2010-02-17T00:00:00","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":"2010-5004","title":"Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests","docAbstract":"Hydraulic conductivities of volcanic and carbonate lithologic units at the Nevada Test Site were estimated from flow logs and aquifer-test data. Borehole flow and drawdown were integrated and interpreted using a radial, axisymmetric flow model, AnalyzeHOLE. This integrated approach is used because complex well completions and heterogeneous aquifers and confining units produce vertical flow in the annular space and aquifers adjacent to the wellbore. AnalyzeHOLE simulates vertical flow, in addition to horizontal flow, which accounts for converging flow toward screen ends and diverging flow toward transmissive intervals. Simulated aquifers and confining units uniformly are subdivided by depth into intervals in which the hydraulic conductivity is estimated with the Parameter ESTimation (PEST) software. Between 50 and 150 hydraulic-conductivity parameters were estimated by minimizing weighted differences between simulated and measured flow and drawdown. Transmissivity estimates from single-well or multiple-well aquifer tests were used to constrain estimates of hydraulic conductivity. The distribution of hydraulic conductivity within each lithology had a minimum variance because estimates were constrained with Tikhonov regularization.\r\n\r\nAnalyzeHOLE simulated hydraulic-conductivity estimates for lithologic units across screened and cased intervals are as much as 100 times less than those estimated using proportional flow-log analyses applied across screened intervals only. Smaller estimates of hydraulic conductivity for individual lithologic units are simulated because sections of the unit behind cased intervals of the wellbore are not assumed to be impermeable, and therefore, can contribute flow to the wellbore. Simulated hydraulic-conductivity estimates vary by more than three orders of magnitude across a lithologic unit, indicating a high degree of heterogeneity in volcanic and carbonate-rock units. The higher water transmitting potential of carbonate-rock units relative to volcanic-rock units is exemplified by the large difference in their estimated maximum hydraulic conductivity; 4,000 and 400 feet per day, respectively. Simulated minimum estimates of hydraulic conductivity are inexact and represent the lower detection limit of the method. Minimum thicknesses of lithologic intervals also were defined for comparing AnalyzeHOLE results to hydraulic properties in regional ground-water flow models.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105004","usgsCitation":"Garcia, C.A., Halford, K.J., and Laczniak, R.J., 2010, Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests: U.S. Geological Survey Scientific Investigations Report 2010-5004, Report: vi, 28 p.; Appendices   , https://doi.org/10.3133/sir20105004.","productDescription":"Report: vi, 28 p.; Appendices   ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":118606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5004.jpg"},{"id":13444,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5004/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.7,36.416666666666664 ], [ -116.7,37.36666666666667 ], [ -115.81666666666666,37.36666666666667 ], [ -115.81666666666666,36.416666666666664 ], [ -116.7,36.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e0616","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98199,"text":"ds487 - 2010 - A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:04:13","indexId":"ds487","displayToPublicDate":"2010-02-17T00:00:00","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":"487","title":"A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","docAbstract":"A seamless, 3-meter digital elevation model (DEM) was constructed for the entire Southern California coastal zone, extending 473 km from Point Conception to the Mexican border. The goal was to integrate the most recent, high-resolution datasets available (for example, Light Detection and Ranging (Lidar) topography, multibeam and single beam sonar bathymetry, and Interferometric Synthetic Aperture Radar (IfSAR) topography) into a continuous surface from at least the 20-m isobath to the 20-m elevation contour. \r\n\r\nThis dataset was produced to provide critical boundary conditions (bathymetry and topography) for a modeling effort designed to predict the impacts of severe winter storms on the Southern California coast (Barnard and others, 2009). The hazards model, run in real-time or with prescribed scenarios, incorporates atmospheric information (wind and pressure fields) with a suite of state-of-the-art physical process models (tide, surge, and wave) to enable detailed prediction of water levels, run-up, wave heights, and currents. Research-grade predictions of coastal flooding, inundation, erosion, and cliff failure are also included. The DEM was constructed to define the general shape of nearshore, beach and cliff surfaces as accurately as possible, with less emphasis on the detailed variations in elevation inland of the coast and on bathymetry inside harbors. As a result this DEM should not be used for navigation purposes. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds487","usgsCitation":"Barnard, P., and Hoover, D., 2010, A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California: U.S. Geological Survey Data Series 487, Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder  , https://doi.org/10.3133/ds487.","productDescription":"Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":118602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_487.jpg"},{"id":13443,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/487/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4968e4b0b290850ef231","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":304645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, Daniel","contributorId":79841,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","affiliations":[],"preferred":false,"id":304646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98198,"text":"sir20095197 - 2010 - Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20095197","displayToPublicDate":"2010-02-17T00:00:00","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":"2009-5197","title":"Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois","docAbstract":"Illinois StreamStats (ILSS) is a Web-based application for computing selected basin characteristics and flood-peak quantiles based on the most recently (2010) published (Soong and others, 2004) regional flood-frequency equations at any rural stream location in Illinois. Limited streamflow statistics including general statistics, flow durations, and base flows also are available for U.S. Geological Survey (USGS) streamflow-gaging stations. ILSS can be accessed on the Web at http://streamstats.usgs.gov/ by selecting the State Applications hyperlink and choosing Illinois from the pull-down menu.\r\n\r\nILSS was implemented for Illinois by obtaining and projecting ancillary geographic information system (GIS) coverages; populating the StreamStats database with streamflow-gaging station data; hydroprocessing the 30-meter digital elevation model (DEM) for Illinois to conform to streams represented in the National Hydrographic Dataset 1:100,000 stream coverage; and customizing the Web-based Extensible Markup Language (XML) programs for computing basin characteristics for Illinois. The basin characteristics computed by ILSS then were compared to the basin characteristics used in the published study, and adjustments were applied to the XML algorithms for slope and basin length. Testing of ILSS was accomplished by comparing flood quantiles computed by ILSS at a an approximately random sample of 170 streamflow-gaging stations computed by ILSS with the published flood quantile estimates. Differences between the log-transformed flood quantiles were not statistically significant at the 95-percent confidence level for the State as a whole, nor by the regions determined by each equation, except for region 1, in the northwest corner of the State. In region 1, the average difference in flood quantile estimates ranged from 3.76 percent for the 2-year flood quantile to 4.27 percent for the 500-year flood quantile. The total number of stations in region 1 was small (21) and the mean difference is not large (less than one-tenth of the average prediction error for the regression-equation estimates). The sensitivity of the flood-quantile estimates to differences in the computed basin characteristics are determined and presented in tables. A test of usage consistency was conducted by having at least 7 new users compute flood quantile estimates at 27 locations. The average maximum deviation of the estimate from the mode value at each site was 1.31 percent after four mislocated sites were removed. A comparison of manual 100-year flood-quantile computations with ILSS at 34 sites indicated no statistically significant difference. ILSS appears to be an accurate, reliable, and effective tool for flood-quantile estimates.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095197","usgsCitation":"Ishii, A., Soong, D., and Sharpe, J.B., 2010, Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois: U.S. Geological Survey Scientific Investigations Report 2009-5197, viii, 25 p. , https://doi.org/10.3133/sir20095197.","productDescription":"viii, 25 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":118601,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5197.jpg"},{"id":13442,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5197/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.51666666666667,36.96666666666667 ], [ -91.51666666666667,42.5 ], [ -87.5,42.5 ], [ -87.5,36.96666666666667 ], [ -91.51666666666667,36.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a04e4b07f02db5f85b9","contributors":{"authors":[{"text":"Ishii, Audrey L. alishii@usgs.gov","contributorId":1818,"corporation":false,"usgs":true,"family":"Ishii","given":"Audrey L.","email":"alishii@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":304644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304643,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98193,"text":"sir20095199 - 2010 - Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"sir20095199","displayToPublicDate":"2010-02-13T00:00:00","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":"2009-5199","title":"Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","docAbstract":"Data collected for the U.S. Geological Survey National Water-Quality Assessment program from 1992-2001 were used to investigate the relations between nutrient concentrations and nutrient sources, hydrology, and basin characteristics. Regression models were developed to estimate annual flow-weighted concentrations of total nitrogen and total phosphorus using explanatory variables derived from currently available national ancillary data. Different total-nitrogen regression models were used for agricultural (25 percent or more of basin area classified as agricultural land use) and nonagricultural basins. Atmospheric, fertilizer, and manure inputs of nitrogen, percent sand in soil, subsurface drainage, overland flow, mean annual precipitation, and percent undeveloped area were significant variables in the agricultural basin total nitrogen model. Significant explanatory variables in the nonagricultural total nitrogen model were total nonpoint-source nitrogen input (sum of nitrogen from manure, fertilizer, and atmospheric deposition), population density, mean annual runoff, and percent base flow.\r\n\r\nThe concentrations of nutrients derived from regression (CONDOR) models were applied to drainage basins associated with the U.S. Environmental Protection Agency (USEPA) River Reach File (RF1) to predict flow-weighted mean annual total nitrogen concentrations for the conterminous United States. The majority of stream miles in the Nation have predicted concentrations less than 5 milligrams per liter. Concentrations greater than 5 milligrams per liter were predicted for a broad area extending from Ohio to eastern Nebraska, areas spatially associated with greater application of fertilizer and manure. Probabilities that mean annual total-nitrogen concentrations exceed the USEPA regional nutrient criteria were determined by incorporating model prediction uncertainty. In all nutrient regions where criteria have been established, there is at least a 50 percent probability of exceeding the criteria in more than half of the stream miles.\r\n\r\nDividing calibration sites into agricultural and nonagricultural groups did not improve the explanatory capability for total phosphorus models. The group of explanatory variables that yielded the lowest model error for mean annual total phosphorus concentrations includes phosphorus input from manure, population density, amounts of range land and forest land, percent sand in soil, and percent base flow. However, the large unexplained variability and associated model error precluded the use of the total phosphorus model for nationwide extrapolations.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095199","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Spahr, N.E., Mueller, D.K., Wolock, D.M., Hitt, K.J., and Gronberg, J.M., 2010, Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001: U.S. Geological Survey Scientific Investigations Report 2009-5199, viii, 22 p. , https://doi.org/10.3133/sir20095199.","productDescription":"viii, 22 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1992-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5199.jpg"},{"id":13437,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5199/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4880e4b07f02db515e39","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":304631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":304629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98189,"text":"ofr20101014 - 2010 - Simulation of Runoff and Reservoir Inflow for Use in a Flood-Analysis Model for the Delaware River, Pennsylvania, New Jersey, and New York, 2004-2006","interactions":[],"lastModifiedDate":"2017-07-05T10:20:38","indexId":"ofr20101014","displayToPublicDate":"2010-02-13T00:00:00","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":"2010-1014","title":"Simulation of Runoff and Reservoir Inflow for Use in a Flood-Analysis Model for the Delaware River, Pennsylvania, New Jersey, and New York, 2004-2006","docAbstract":"A model was developed to simulate inflow to reservoirs and watershed runoff to streams during three high-flow events between September 2004 and June 2006 for the main-stem subbasin of the Delaware River draining to Trenton, N.J. The model software is a modified version of the U.S. Geological Survey (USGS) Precipitation-Runoff Modeling System (PRMS), a modular, physically based, distributed-parameter modeling system developed to evaluate the impacts of various combinations of precipitation, climate, and land use on surface-water runoff and general basin hydrology. The PRMS model simulates time periods associated with main-stem flooding that occurred in September 2004, April 2005, and June 2006 and uses both daily and hourly time steps. Output from the PRMS model was formatted for use as inflows to a separately documented reservoir and riverrouting model, the HEC-ResSim model, developed by the U.S. Army Corps of Engineers Hydrologic Engineering Center to evaluate flooding. The models were integrated through a graphical user interface.\r\n\r\nThe study area is the 6,780 square-mile watershed of the Delaware River in the states of Pennsylvania, New Jersey, and New York that drains to Trenton, N.J. A geospatial database was created for use with a geographic information system to assist model discretization, determine land-surface characterization, and estimate model parameters. The USGS National Elevation Dataset at 100-meter resolution, a Digital Elevation Model (DEM), was used for model discretization into streams and hydrologic response units. In addition, geospatial processing was used to estimate initial model parameters from the DEM and other data layers, including land use. The model discretization represents the study area using 869 hydrologic response units and 452 stream segments. The model climate data for point stations were obtained from multiple sources. These sources included daily data for 22 National Weather Service (NWS) Cooperative Climate Station network stations, hourly data for 15 stations from the National Climatic Data Center, hourly data for 1 station from the NWS Middle Atlantic River Forecast Center records, and daily and hourly data for 7 stations operated by the New York City Department of Environmental Protection. The NWS Multisensor Precipitation Estimate data set for 2001-2007 was used for computing daily precipitation for the model and for computing hourly precipitation for storm simulation periods.\r\n\r\nCalibration of the PRMS model included regression and optimization algorithms, as well as manual adjustments of model parameters. The general goal of the calibration procedure was to minimize the difference between discharge measured at USGS streamgages and the corresponding discharge simulated by the model. Daily streamflow data from 35 USGS streamgages were used in model calibration. The streamflow data represent areas draining from 20.2 to 6,780 square miles.\r\n\r\nThe PRMS model simulates reservoir inflow and watershed runoff for use as input into HECResSim for the purpose of evaluating and comparing the effects of different watershed conditions on main-stem flooding in the Delaware River watershed draining to Trenton, N.J. The PRMS model is useful as a planning tool to simulate the effects of land-use changes and different antecedent conditions on local runoff and reservoir inflow and, as input to the HEC-ResSim model, on flood flows in the main stem of the Delaware River. \r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101014","collaboration":"In Cooperation with the Delaware River Basin Commission","usgsCitation":"Goode, D., Koerkle, E.H., Hoffman, S.A., Regan, R., Hay, L.E., and Markstrom, S., 2010, Simulation of Runoff and Reservoir Inflow for Use in a Flood-Analysis Model for the Delaware River, Pennsylvania, New Jersey, and New York, 2004-2006: U.S. Geological Survey Open-File Report 2010-1014, viii, 68 p., https://doi.org/10.3133/ofr20101014.","productDescription":"viii, 68 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":199349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1014/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.33333333333333,40.166666666666664 ], [ -76.33333333333333,42.5 ], [ -74.16666666666667,42.5 ], [ -74.16666666666667,40.166666666666664 ], [ -76.33333333333333,40.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f3020","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koerkle, Edward H. ekoerkle@usgs.gov","contributorId":2014,"corporation":false,"usgs":true,"family":"Koerkle","given":"Edward","email":"ekoerkle@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Scott A. shoffman@usgs.gov","contributorId":2634,"corporation":false,"usgs":true,"family":"Hoffman","given":"Scott","email":"shoffman@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regan, R. Steve 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":58736,"corporation":false,"usgs":true,"family":"Regan","given":"R. Steve","affiliations":[],"preferred":false,"id":304616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":304611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":304612,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98196,"text":"ofr20101029 - 2010 - Geologic assessment of undiscovered oil and gas resources of the North Cuba Basin, Cuba","interactions":[],"lastModifiedDate":"2018-08-28T15:29:54","indexId":"ofr20101029","displayToPublicDate":"2010-02-13T00:00:00","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":"2010-1029","title":"Geologic assessment of undiscovered oil and gas resources of the North Cuba Basin, Cuba","docAbstract":"Petroleum generation in the North Cuba Basin is primarily the result of thrust loading of Jurassic and Cretaceous source rocks during formation of the North Cuba fold and thrust belt in the Late Cretaceous to Paleogene. The fold and thrust belt formed as Cuban arc-forearc rocks along the leading edge of the Caribbean plate translated northward during the opening of the Yucatan Basin and collided with the passive margin of southern North America in the Paleogene. Petroleum fluids generated during thrust loading migrated vertically into complex structures in the fold and thrust belt, into structures in the foreland basin, and possibly into carbonate reservoirs along the margins of the Yucatan and Bahama carbonate platforms. The U.S. Geological Survey (USGS) defined a Jurassic-Cretaceous Composite Total Petroleum System (TPS) and three assessment units (AU)-North Cuba Fold and Thrust Belt AU, North Cuba Foreland Basin AU, and the North Cuba Platform Margin Carbonate AU-within this TPS based mainly on structure and reservoir type (fig. 1). There is considerable geologic uncertainty as to the extent of petroleum migration that might have occurred within this TPS to form potential petroleum accumulations. Taking this geologic uncertainty into account, especially in the offshore area, the mean volumes of undiscovered resources in the composite TPS of the North Cuba Basin are estimated at (1) 4.6 billion barrels of oil (BBO), with means ranging from an F95 probability of 1 BBO to an F5 probability of 9 BBO; and (2) 8.6 trillion cubic feet of of gas (TCFG), of which 8.6 TCFG is associated with oil fields, and about 1.2 TCFG is in nonassociated gas fields in the North Cuba Foreland Basin AU.\r\n\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101029","usgsCitation":"Schenk, C.J., 2010, Geologic assessment of undiscovered oil and gas resources of the North Cuba Basin, Cuba: U.S. Geological Survey Open-File Report 2010-1029, 1 sheet, https://doi.org/10.3133/ofr20101029.","productDescription":"1 sheet","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":198582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13440,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1029/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db5463a6","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":304638,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98191,"text":"ds474 - 2010 - Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-20T12:11:49.113236","indexId":"ds474","displayToPublicDate":"2010-02-13T00:00:00","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":"474","title":"Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the 188-square-mile Colorado River Study unit (COLOR) was investigated October through December 2007 as part of the Priority Basin Project of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project was developed in response to the Groundwater Quality Monitoring Act of 2001, and the U.S. Geological Survey (USGS) is the technical project lead.</p><p>The Colorado River study was designed to provide a spatially unbiased assessment of the quality of raw groundwater used for public water supplies within COLOR, and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 28 wells in three study areas in San Bernardino, Riverside, and Imperial Counties. Twenty wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the Study unit; these wells are termed ‘grid wells’. Eight additional wells were selected to evaluate specific water-quality issues in the study area; these wells are termed ‘understanding wells.’</p><p>The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOC], gasoline oxygenates and degradates, pesticides and pesticide degradates, pharmaceutical compounds), constituents of special interest (perchlorate, 1,4-dioxane, and 1,2,3-trichlorpropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), and radioactive constituents. Concentrations of naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, approximately 220 constituents and water-quality indicators were investigated.</p><p>Quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 30 percent of the wells, and the results were used to evaluate the quality of the data obtained from the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that contamination was not a significant source of bias in the data. Differences between replicate samples were within acceptable ranges and matrix-spike recoveries were within acceptable ranges for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, raw groundwater typically is treated, disinfected, or blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw groundwater. However, to provide some context for the results, concentrations of constituents measured in the raw groundwater were compared to regulatory and nonregulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH) and to thresholds established for aesthetic concerns by CDPH. Comparisons between data collected for this study and drinking-water thresholds are for illustrative purposes only and do not indicate compliance or noncompliance with those thresholds.</p><p>The concentrations of most constituents detected in groundwater samples were below drinking-water thresholds. Volatile organic compounds (VOC) were detected in approximately 35 percent of grid well samples; all concentrations were below health-based thresholds. Pesticides and pesticide degradates were detected in about 20 percent of all samples; detections were below health-based thresholds. No concentrations of constituents of special interest or nutrients were detected above health-based thresholds. Most of the major and minor ion constituents sampled do not have health-based thresholds; the exception is chloride. Concentrations of chloride, sulfate, and total dissolved solids detected in some of the well samples were above the nonenforceable thresholds for aesthetic concerns. Concentrations of fluoride were detected in 5 samples (from 4 grid wells and 1 understanding well) above the maximum contaminant level for California (MCL-CA). Concentrations of most of the trace elements in samples from the COLOR study were below health-based thresholds; exceptions included arsenic above the MCL-US, boron above the notification level for California (NL-CA), iron and manganese above the secondary maximum contaminant level for California (SMCL-CA), and molybdenum and strontium above the lifetime health advisory level (HAL-US) threshold. Most detections of radioactive constituents were below health-based thresholds; exceptions were alpha, uranium, and radon radioactivity. Alpha radioactivity with 72 hour count detections occurred in four grid wells and one understanding well, and 30-day count detections in two grid wells above the MCL-US. Uranium was detected twice in grid wells above the MCL-US threshold. Also, radon-222 was detected at concentrations above the proposed MCL-US in 19 samples (14&nbsp;grid and 5 understanding wells). No radon-222 was detected above the proposed MCL-US upper threshold.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds474","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Goldrath, D., Wright, M.T., and Belitz, K., 2010, Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 474, x, 66 p., https://doi.org/10.3133/ds474.","productDescription":"x, 66 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-10-01","temporalEnd":"2007-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":199350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/474/","linkFileType":{"id":5,"text":"html"}},{"id":404080,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91388.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","otherGeospatial":"Colorado River study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              32.7203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db65897b","contributors":{"authors":[{"text":"Goldrath, Dara A.","contributorId":59896,"corporation":false,"usgs":true,"family":"Goldrath","given":"Dara A.","affiliations":[],"preferred":false,"id":304624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":304623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"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":304622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98194,"text":"tm6B6 - 2010 - One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers","interactions":[],"lastModifiedDate":"2019-10-09T14:13:39","indexId":"tm6B6","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-B6","title":"One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers","docAbstract":"OTEQ is a mathematical simulation model used to characterize the fate and transport of waterborne solutes in streams and rivers. The model is formed by coupling a solute transport model with a chemical equilibrium submodel. The solute transport model is based on OTIS, a model that considers the physical processes of advection, dispersion, lateral inflow, and transient storage. The equilibrium submodel is based on MINTEQ, a model that considers the speciation and complexation of aqueous species, acid-base reactions, precipitation/dissolution, and sorption.\r\n\r\nWithin OTEQ, reactions in the water column may result in the formation of solid phases (precipitates and sorbed species) that are subject to downstream transport and settling processes. Solid phases on the streambed may also interact with the water column through dissolution and sorption/desorption reactions. Consideration of both mobile (waterborne) and immobile (streambed) solid phases requires a unique set of governing differential equations and solution techniques that are developed herein. The partial differential equations describing physical transport and the algebraic equations describing chemical equilibria are coupled using the sequential iteration approach. The model's ability to simulate pH, precipitation/dissolution, and pH-dependent sorption provides a means of evaluating the complex interactions between instream chemistry and hydrologic transport at the field scale.\r\n\r\nThis report details the development and application of OTEQ. Sections of the report describe model theory, input/output specifications, model applications, and installation instructions. OTEQ may be obtained over the Internet at http://water.usgs.gov/software/OTEQ.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6B6","usgsCitation":"Runkel, R.L., 2010, One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers: U.S. Geological Survey Techniques and Methods 6-B6, vii, 101 p. , https://doi.org/10.3133/tm6B6.","productDescription":"vii, 101 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_b6.jpg"},{"id":13438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06b06/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6969c6","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304634,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}