Bank erosion is a natural process that occurs in meandering streams (Leopold and others, 1964); however, in the Midwestern United States, historical and present agricultural activities in uplands, riparian areas, and channels have increased erosion (Waters, 1995; Lyons and others, 2000; Simon and Rinaldi, 2000; and Knox, 2001). Reducing streambank erosion is important because sediment carried by streams has adverse environmental effects; for example, sediment carried by streams is a major source of phosphorus (Waters, 1995). Continuous cattle grazing in riparian areas may increase local erosion processes in a meandering stream by removal or trampling of bank vegetation, which in turn affects channel morphology, water chemistry, and fish and aquatic-insect habitat (Kauffman and Krueger, 1984; Fitch and Adams, 1998). However, studies of livestock exclusion from riparian corridors have shown mixed results in reducing bank erosion (Trimble, 1994; Sarr, 2002). Some studies have shown reduced bank erosion after row-cropped or continuously grazed riparian areas are converted to managed grazing (see inset box) (Lyons and others, 2000; Sovell and others, 2000; and Zaimes and others, 2004).
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053134","usgsCitation":"Peppler, M.C., and Fitzpatrick, F.A., 2005, Methods for monitoring the effects of grazing management on bank erosion and channel morphology, Fever River, Pioneer Farm, Wisconsin, 2004: U.S. Geological Survey Fact Sheet 2005-3134, 4 p., https://doi.org/10.3133/fs20053134.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":7422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3134/","linkFileType":{"id":5,"text":"html"}},{"id":120892,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3134.bmp"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fever River, Pioneer Farm,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.46382904052734,\n 42.66375615557906\n ],\n [\n -90.46382904052734,\n 42.74600367786244\n ],\n [\n -90.33748626708984,\n 42.74600367786244\n ],\n [\n -90.33748626708984,\n 42.66375615557906\n ],\n [\n -90.46382904052734,\n 42.66375615557906\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b9ab","contributors":{"authors":[{"text":"Peppler, Marie C. 0000-0002-1120-9673 mpeppler@usgs.gov","orcid":"https://orcid.org/0000-0002-1120-9673","contributorId":825,"corporation":false,"usgs":true,"family":"Peppler","given":"Marie","email":"mpeppler@usgs.gov","middleInitial":"C.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":286429,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":73923,"text":"sir20055245 - 2005 - Hydraulic properties of the Ironton and Galesville sandstones, Shakopee Mdewakanton Sioux Community, southeastern Minnesota, 2004","interactions":[],"lastModifiedDate":"2016-04-04T11:41:08","indexId":"sir20055245","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-5245","title":"Hydraulic properties of the Ironton and Galesville sandstones, Shakopee Mdewakanton Sioux Community, southeastern Minnesota, 2004","docAbstract":"The U.S. Geological Survey, in cooperation with the Shakopee Mdewakanton Sioux Community, conducted an aquifer test December 6–22, 2004, to improve definition of the hydraulic properties of the Ironton and Galesville Sandstones beneath the Shakopee Community in southeastern Minnesota. Three wells were used in the aquifer test—a production well and two observation wells, located 3,247 feet northwest of the production well and 3,049 feet southeast of the production well. The production well, completed in the Ironton and Galesville Sandstones, was pumped at about 600 gallons per minute from 10:30 a.m. on December 6, 2004, to 3:26 p.m. on December 9, 2004. Drawdown and recovery water levels were measured in all three wells.
\nFour curve-fitting methods and two graphical methods were used to estimate the transmissivity and storage coefficient of the Ironton and Galesville Sandstones. The four curve-fitting methods were the Theis, Hantush, Hantush-Jacob, and Neumann-Witherspoon methods. These methods were applied to the drawdown and residual recovery curves of the observation wells. The two graphical methods were the Cooper-Jacob method and the Theis recovery method. The Cooper-Jacob method was applied to the drawdown curve of the production well and the drawdown curves of the two observation wells. The Theis recovery method was applied to the residual drawdown curves of the two observation wells.
\nThe transmissivity estimated using the six methods ranged from 450 to 650 feet squared per day. The average transmissivity for the six methods was 540 feet squared per day. The storage coefficient estimated using the six methods ranged from 4.2 to 5.7 x 10-5. The average storage coefficient for all six methods was 5.0 x 10-5. The hydraulic conductivity was estimated by dividing the estimated transmissivity by 45 feet. The average hydraulic conductivity for the six methods was 12.1 feet per day.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055245","collaboration":"Prepared in cooperation with the Shakopee Mdewakanton Sioux Community","usgsCitation":"Winterstein, T.A., 2005, Hydraulic properties of the Ironton and Galesville sandstones, Shakopee Mdewakanton Sioux Community, southeastern Minnesota, 2004: U.S. Geological Survey Scientific Investigations Report 2005-5245, iv, 30 p., https://doi.org/10.3133/sir20055245.","productDescription":"iv, 30 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20055245.JPG"},{"id":7514,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5245/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","county":"Scott County","otherGeospatial":"Shakopee Mdewakanton Sioux Community","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.49983215332031,\n 44.72393002404956\n ],\n [\n -93.49983215332031,\n 44.745757885700236\n ],\n [\n -93.47150802612305,\n 44.745757885700236\n ],\n [\n -93.47150802612305,\n 44.72393002404956\n ],\n [\n -93.49983215332031,\n 44.72393002404956\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a12c","contributors":{"authors":[{"text":"Winterstein, Thomas A.","contributorId":25971,"corporation":false,"usgs":true,"family":"Winterstein","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":286496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73913,"text":"sir20055237 - 2005 - Water quality and hydrology of the Lac Vieux Desert watershed, Gogebic County, Michigan, and Vilas County, Wisconsin, 2002-04","interactions":[],"lastModifiedDate":"2017-02-06T13:55:36","indexId":"sir20055237","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-5237","title":"Water quality and hydrology of the Lac Vieux Desert watershed, Gogebic County, Michigan, and Vilas County, Wisconsin, 2002-04","docAbstract":"Lac Vieux Desert is a prominent 6.6 square-mile lake that straddles the Michigan-Wisconsin border and forms the headwaters of the Wisconsin River. For generations, the Lac Vieux Desert Band of Lake Superior Chippewa Indians have used Lac Vieux Desert and the surrounding area for growing and harvesting wild rice, and hunting and fishing. The Lac Vieux Desert Band is concerned about the impact of lake-stage regulation on hydrology and ecology, and the impact on water quality of development along and near the shore, and recreational watercraft use and sport fishing. In 2005, the U.S. Geological Survey completed a water-resources investigation of the Lac Vieux Desert watershed in cooperation with the Lac Vieux Desert Band of Lake Superior Chippewa Indians.
Water quality of Lac Vieux Desert is typical of many lakes in the northern United States. Trophic State Index calculations classify Lac Vieux Desert as a highly productive eutrophic lake. The pH of water in Lac Vieux Desert ranged from 6.5 to 9.5, and specific conductance ranged from 62 to 114 µs/cm. Chloride concentration was less than 1.5 mg/L, indicating little effect from septic-tank or road-salt input. Results indicate that the water can be classified as soft, with hardness concentrations reported as calcium carbonate ranging from 29 to 49 mg/L. Concentrations of calcium, magnesium, chloride, and other dissolved solids ranged from 47 to 77 mg/L. Alkalinity of Lac Vieux Desert ranged from 27 to 38 mg/L.
Pervasive aquatic blooms, including a bloom noted during the September 2003 sampling, are apparently common in late summer. Biological productivity at Lac Vieux Desert does not appear to have changed appreciably between 1973 and 2004. In the current study, total phosphorus concentrations ranged from 0.01 to 0.064 mg/L and dissolved nitrite plus nitrate nitrogen concentrations ranged from at, or below detection limit to 0.052 mg/L. Overabundance of nutrients in Lac Vieux Desert, particularly nitrogen and phosphorus, could result in considerable degradation in lake-water quality.
The estimated water balance includes the following inputs from the surrounding watershed: direct precipitation (35 percent); runoff, composed of streamflow and overland flow (50 percent); and ground-water flow (15 percent). Outputs from Lac Vieux Desert include streamflow into the Wisconsin River (68 percent) and evaporation from the lake surface (32 percent). Seasonal regulation of Lac Vieux Desert outflow results in an artificially high lake stage throughout the year, except from late winter to very early spring, prior to snowmelt and runoff. Regulation of Lac Vieux Desert outflow causes Wisconsin River streamflow to be artificially low during spring and summer and artificially high in fall and winter.
Recent studies indicate that lake-level regulation over the past century may have affected wild rice growth and propagation in Lac Vieux Desert. As per licensing agreement between the Federal Energy Regulatory Commission and the Wisconsin Valley Improvement Company (operators of the dam at the outlet), the maximum lake level of Lac Vieux Desert was lowered about 0.8 feet to investigate the relation between lake-level regulation and propagation of wild rice from 2003 through 2012. Recent plantings of wild rice by the Lac Vieux Desert Band have been successful, indicating that suitable habitat and hydrologic regime were present in 2004-05.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055237","collaboration":"In cooperation with Lac Vieux Desert Band of Lake Superior Chippewa Indians","usgsCitation":"Weaver, T.L., Neff, B., and Ellis, J., 2005, Water quality and hydrology of the Lac Vieux Desert watershed, Gogebic County, Michigan, and Vilas County, Wisconsin, 2002-04: U.S. Geological Survey Scientific Investigations Report 2005-5237, vi, 42 p., https://doi.org/10.3133/sir20055237.","productDescription":"vi, 42 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":193167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20055237.JPG"},{"id":7513,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5237/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan, Wisconsin","county":"Gogebic County, Vilas County","otherGeospatial":"Lac Vieux Desert Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.158333,\n 46.208333\n ],\n [\n -89.158333,\n 46.083333\n ],\n [\n -88.983333,\n 46.083333\n ],\n [\n -88.983333,\n 46.208333\n ],\n [\n -89.158333,\n 46.208333\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9bda","contributors":{"authors":[{"text":"Weaver, T. L.","contributorId":24339,"corporation":false,"usgs":true,"family":"Weaver","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neff, B.P.","contributorId":92759,"corporation":false,"usgs":true,"family":"Neff","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":286495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, J.M.","contributorId":29502,"corporation":false,"usgs":true,"family":"Ellis","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":286494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":73833,"text":"fs20053156 - 2005 - Landslide hazards: A national threat","interactions":[],"lastModifiedDate":"2023-05-03T21:23:23.453705","indexId":"fs20053156","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-3156","title":"Landslide hazards: A national threat","docAbstract":"Landslides occur and can cause damage in all 50 States. Severe storms, earthquakes, volcanic activity, coastal wave attack, and wildfires can cause widespread slope instability. Landslide danger may be high even as emergency personnel are providing rescue and recovery services.\r\n\r\nTo address landslide hazards, several questions must be considered: Where and when will landslides occur? How big will the landslides be? How fast and how far will they move? What areas will the landslides affect or damage? How frequently do landslides occur in a given area?\r\n\r\nAnswers to these questions are needed to make accurate landslide hazard maps and forecasts of landslide occurrence, and to provide information on how to avoid or mitigate landslide impacts.\r\n\r\nThe U.S. Geological Survey develops methods to answer these questions to help protect U.S. communities from the dangers of landslides.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"USGS Science Helps Build Safer Communities","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053156","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Landslide hazards: A national threat: U.S. Geological Survey Fact Sheet 2005-3156, 2 p., https://doi.org/10.3133/fs20053156.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3156.jpg"},{"id":416687,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76640.htm","linkFileType":{"id":5,"text":"html"}},{"id":7965,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/hazards.html","linkFileType":{"id":5,"text":"html"}},{"id":7505,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3156/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abafa","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534758,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73563,"text":"sir20055234 - 2005 - Sediment-transport investigations of the upper Yellowstone River, Montana, 1999 through 2001: Data collection, analysis, and simulation of sediment transport","interactions":[],"lastModifiedDate":"2024-10-30T19:37:54.569338","indexId":"sir20055234","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-5234","title":"Sediment-transport investigations of the upper Yellowstone River, Montana, 1999 through 2001: Data collection, analysis, and simulation of sediment transport","docAbstract":"The upper Yellowstone River in Montana is an important State and national water resource, providing recreational, agricultural, and commercial benefits. Floods in 1996 and 1997, with recorded peak discharges having recurrence intervals close to 100 years, caused substantial streambank erosion and hill- slope mass wasting. Large quantities of sand-, gravel-, and cobble-sized material entrained by the flood flows became flood-bar deposits, creating a source of sediment available for transport during future floods. The flood damage and resulting sedimentation raised concerns about potential streambank-stabilization projects and how the river and riparian corridor might be managed in the future. The U.S. Geological Survey, in cooperation with the Park Conservation District, the Montana Department of Transportation, and the U.S. Army Corps of Engineers, investigated sediment transport in the upper Yellowstone River near Livingston from 1999 through 2001 as part of a cumulative effects study to provide a scientific basis for future river management decisions. The purpose of this report is to present the results of data collection, analysis, and simulation of sediment transport for the upper Yellowstone River.
The study area included a 13.5-mile study reach of the upper Yellowstone River where substantial sediment transport occurred in 1996 and 1997. In this study area, the upper Yellowstone River is a high gradient, coarse-bed stream having a slope of about 0.0028 foot per foot or more than 14 feet per mile. The study area drains about 3,551 square miles, and runoff results primarily from snowmelt during the spring and summer months. As part of sediment-transport investigations, the U.S. Geological Survey surveyed river cross sections, characterized streambed-material particle size using particle counts and sieve analyses, and collected bedload- and suspended-sediment data during three runoff seasons (1999-2001). Data were collected for stream discharges that ranged from 2,220 cubic feet per second (typical of pre- and post-runoff discharge) to 25,100 cubic feet per second (about 125 percent of bankfull discharge).
The distribution of streambed-material particle size was determined, and sediment-transport curves for bedload discharge, suspended-sediment discharge, and total-sediment discharge were developed. The threshold values of streamflow and average stream velocity needed for initiation of bedload transport for selected sediment-size classes showed that little to no bedload was transported for an average stream velocity below about 3 feet per second, and the only particle size transported as bedload at that velocity was sand. Over the range of stream discharges sampled and with silt- and finer-sized particles excluded, bedload discharge averaged about 18 percent of the total-sediment discharge, equal to bedload discharge plus suspended-sediment discharge. At the lowest and highest stream discharges sampled, bedload was, respectively, less than about 2 percent and about 30 percent of the total-sediment discharge. Over the range of stream discharges sampled, the sand-sized part of the total suspended-sediment discharge averaged about 48 percent, where the total suspended-sediment discharge included sand-, silt- and finer-sized particles. At the lowest and highest stream discharges sampled, the sand-sized part of the total suspended-sediment discharge was, respectively, less than about 16 percent and about 50 percent of the total suspended-sediment discharge. The sediment-transport curves were compared to curves for selected sites in the western United States having drainage areas ranging from 21 square miles to over 20,000 square miles. Daily sediment loads transported at bankfull discharge were calculated for each site and results were plotted in relation to drainage area. Results based on the 1999-2001 data-collection period indicate that the estimated daily bedload transported at bankfull discharge in the upper Yellowstone River exceeded the envelope line that bounds the upper end of the data for other selected sites in the Northern Rocky Mountains and is similar in magnitude to that for selected sites in Alaska having braided channels and glacial and snowmelt runoff. Similar comparisons for suspended sediment indicate that daily suspended-sediment load at bankfull discharge is relatively high in the upper Yellowstone River, plotting slightly above the envelope line that bounds the upper end of the data for other selected sites in the Northern Rocky Mountains.
Sediment data were used to develop individual transport equations for seven size classes of sediment ranging from small cobbles to very fine sand. A step-wise regression procedure relating sediment discharge to important hydraulic variables showed that average stream velocity was the only significant variable at the 95-percent confidence level. Bedload and suspended-sediment data and equations indicate that more sand is transported for a given velocity than any other particle size, and very little sand-size sediment load is transported below an average stream velocity of about 2.5 feet per second. Transport of coarser-sized sediment (limited to bedload) becomes very little for an average velocity less than about 3.5 feet per second. Results for the 1999-2001 data-collection period indicate that sediment transport in the upper Yellowstone River tends to be limited more by the transport capacity of the stream (capacity or transport limited), than to the availability of sediment in the watershed (supply limited).
Sediment data collected and analyzed were used to simulate sediment transport in the study reach using the BRIdge Stream Tube model for Alluvial River Simulation, or BRI-STARS computer model. The model was calibrated and verified using selected data from historical runoff periods. Simulated total-sediment loads, on a reach-averaged basis, were in good agreement with the total-sediment loads determined from the transport curve for the 2-year flood hydrograph but were considerably smaller for the total-sediment loads determined from the transport curve for the 50-, 100-, and 500-year flood hydrographs. The differences probably were largely due to the inability of the model to simulate streambank erosion, hillslope mass-wasting, and other channel-widening processes, which had supplied substantial quantities of sediment to the channel during the 1996 and 1997 floods, and probably continued to contribute to the sediment load in the subsequent years (1999-2001) when the data were collected. Furthermore, the transport curve was applied beyond the measured data for the highest discharges, and may thus be unreliable. Also, the transport curve derived from only limited data may not apply over the full duration of the hydrograph and sediment might be transported over only a portion of the hydrograph, especially for rivers like the upper Yellowstone where snowmelt runoff predominates. The true sediment discharge is, therefore, unknown and might be closer to the simulated values than to the values calculated from the transport curve.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055234","usgsCitation":"Holnbeck, S.R., 2005, Sediment-transport investigations of the upper Yellowstone River, Montana, 1999 through 2001: Data collection, analysis, and simulation of sediment transport: U.S. Geological Survey Scientific Investigations Report 2005-5234, viii, 69 p., https://doi.org/10.3133/sir20055234.","productDescription":"viii, 69 p.","numberOfPages":"69","temporalStart":"1999-01-01","temporalEnd":"2001-12-31","costCenters":[],"links":[{"id":123026,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5234.jpg"},{"id":7752,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5234/","linkFileType":{"id":5,"text":"html"}},{"id":463444,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76518.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"upper Yellowstone River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.65,45.25 ], [ -110.65,45.63333333333333 ], [ -110.55,45.63333333333333 ], [ -110.55,45.25 ], [ -110.65,45.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbdf4","contributors":{"authors":[{"text":"Holnbeck, Stephen R. 0000-0001-7313-9298 holnbeck@usgs.gov","orcid":"https://orcid.org/0000-0001-7313-9298","contributorId":1724,"corporation":false,"usgs":true,"family":"Holnbeck","given":"Stephen","email":"holnbeck@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":286431,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73943,"text":"sir20055171 - 2005 - Water quality and simulated effects of urban land-use change in J.B. Converse Lake watershed, Mobile County, Alabama, 1990-2003","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20055171","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-5171","title":"Water quality and simulated effects of urban land-use change in J.B. Converse Lake watershed, Mobile County, Alabama, 1990-2003","language":"ENGLISH","doi":"10.3133/sir20055171","usgsCitation":"Gill, A.C., McPherson, A.K., and Moreland, R.S., 2005, Water quality and simulated effects of urban land-use change in J.B. Converse Lake watershed, Mobile County, Alabama, 1990-2003: U.S. Geological Survey Scientific Investigations Report 2005-5171, 124 p., https://doi.org/10.3133/sir20055171.","productDescription":"124 p.","numberOfPages":"124","costCenters":[],"links":[{"id":120891,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5171.jpg"},{"id":7544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5171/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,30 ], [ -89,31 ], [ -88,31 ], [ -88,30 ], [ -89,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9bf2","contributors":{"authors":[{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":286500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPherson, Ann K.","contributorId":15240,"corporation":false,"usgs":true,"family":"McPherson","given":"Ann","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":286502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moreland, Richard S. rsmore@usgs.gov","contributorId":3877,"corporation":false,"usgs":true,"family":"Moreland","given":"Richard","email":"rsmore@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":286501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":74033,"text":"ofr20051401 - 2005 - National Assessment Of Shoreline Change: Part 2, Historical Shoreline Changes And Associated Coastal Land Loss Along The U.S. Southeast Atlantic Coast","interactions":[],"lastModifiedDate":"2022-06-10T21:55:31.90102","indexId":"ofr20051401","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","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":"2005-1401","title":"National Assessment Of Shoreline Change: Part 2, Historical Shoreline Changes And Associated Coastal Land Loss Along The U.S. Southeast Atlantic Coast","docAbstract":"EXECUTIVE SUMMARY\r\n\r\nBeach erosion is a chronic problem along most open-ocean shores of the United States. As coastal populations continue to grow and community infrastructures are threatened by erosion, there is increased demand for accurate information regarding past and present trends and rates of shoreline movement. There is also a need for a comprehensive analysis of shoreline movement that is consistent from one coastal region to another. To meet these national needs, the U.S. Geological Survey is conducting an analysis of historical shoreline changes along open-ocean sandy shores of the conterminous United States and parts of Hawaii and Alaska. One purpose of this work is to develop standard repeatable methods for mapping and analyzing shoreline movement so that periodic updates regarding coastal erosion and land loss can be made nationally that are systematic and internally consistent.\r\n\r\nThis report on states comprising the Southeast Atlantic Coast (east Florida, Georgia, South Carolina, North Carolina) represents the second in a series that already includes the Gulf of Mexico and will eventually include the Northeast Atlantic Coast, Pacific Coast, and parts of Hawaii and Alaska. The report summarizes the methods of analysis, interprets the results, provides explanations regarding the historical and present trends and rates of change, and describes how different coastal communities are responding to coastal erosion. Shoreline change evaluations are based on comparing three historical shorelines with a recent shoreline derived from lidar (Light Detection and Ranging) topographic surveys. The historical shorelines generally represent the following periods: 1800s, 1920s-1930s, and 1970s, whereas the lidar shoreline is 1998-2002. Long-term rates of change are calculated using four shorelines (1800s to lidar shoreline), whereas short-term rates of change are calculated for the most recent period (1970s to lidar shoreline). The historical rates of change presented in this report represent past conditions and therefore are not intended for predicting future shoreline positions or rates of change.\r\n\r\nRates of erosion for the Southeast Atlantic region were generally highest in South Carolina along barrier islands and headland shores associated with the Santee delta. Erosion was also rapid along some barrier islands in North Carolina. Highest rates of erosion in Florida were generally localized around tidal inlets. The most stable Southeast Atlantic beaches were along the east coast of Florida where low wave energy and frequent beach nourishment minimized erosion. Some beach segments in Florida accreted as a result of net longshore drift convergence around Cape Canaveral and around tidal inlets that were stabilized by jetties.\r\n\r\nSeawalls, riprap revetments, and groins were constructed in all the Southeast Atlantic states as initial community responses to long-term beach erosion. Although some states, such as Florida, still permit shoreline stabilization structures, beach nourishment has become the preferred method of mitigating long-term erosion. Beach nourishment is common in all of the Southeast Atlantic states except Georgia.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051401","usgsCitation":"Morton, R., and Miller, T.L., 2005, National Assessment Of Shoreline Change: Part 2, Historical Shoreline Changes And Associated Coastal Land Loss Along The U.S. Southeast Atlantic Coast: U.S. Geological Survey Open-File Report 2005-1401, iv, 35 p., https://doi.org/10.3133/ofr20051401.","productDescription":"iv, 35 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":159,"text":"Center for Coastal and Watershed Studies","active":false,"usgs":true}],"links":[{"id":191019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402082,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20051326","linkFileType":{"id":5,"text":"html"}},{"id":402083,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_75135.htm","linkFileType":{"id":5,"text":"html"}},{"id":7553,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1401/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"southeast Atlantic coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.2548828125,\n 24.647017162630366\n ],\n [\n -74.619140625,\n 24.647017162630366\n ],\n [\n -74.619140625,\n 36.421282443649496\n ],\n [\n -81.2548828125,\n 36.421282443649496\n ],\n [\n -81.2548828125,\n 24.647017162630366\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b491f","contributors":{"authors":[{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":286528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Tara L.","contributorId":56302,"corporation":false,"usgs":true,"family":"Miller","given":"Tara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":73463,"text":"sir20055228 - 2005 - Sediment oxygen demand in Lake Ewauna and the Klamath River, Oregon, June 2003","interactions":[],"lastModifiedDate":"2017-02-07T09:22:19","indexId":"sir20055228","displayToPublicDate":"2006-02-05T00:00:00","publicationYear":"2005","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":"2005-5228","title":"Sediment oxygen demand in Lake Ewauna and the Klamath River, Oregon, June 2003","language":"ENGLISH","doi":"10.3133/sir20055228","usgsCitation":"Doyle, M.C., and Lynch, D.D., 2005, Sediment oxygen demand in Lake Ewauna and the Klamath River, Oregon, June 2003: U.S. Geological Survey Scientific Investigations Report 2005-5228, 24 p.; maps, https://doi.org/10.3133/sir20055228.","productDescription":"24 p.; maps","numberOfPages":"24","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":192604,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7504,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5228/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbfd1","contributors":{"authors":[{"text":"Doyle, Micelis C. 0000-0003-0968-7809 mcdoyle@usgs.gov","orcid":"https://orcid.org/0000-0003-0968-7809","contributorId":3446,"corporation":false,"usgs":true,"family":"Doyle","given":"Micelis","email":"mcdoyle@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Dennis D. ddlynch@usgs.gov","contributorId":4326,"corporation":false,"usgs":true,"family":"Lynch","given":"Dennis","email":"ddlynch@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":286415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":73373,"text":"sir20055105 - 2005 - Streamflow characteristics and trends in New Jersey, water years 1897-2003","interactions":[{"subject":{"id":39865,"text":"fs10902 - 2002 - Surface-water data and statistics from U.S. Geological Survey data-collection networks in New Jersey on the World Wide Web","indexId":"fs10902","publicationYear":"2002","noYear":false,"title":"Surface-water data and statistics from U.S. Geological Survey data-collection networks in New Jersey on the World Wide Web"},"predicate":"SUPERSEDED_BY","object":{"id":73373,"text":"sir20055105 - 2005 - Streamflow characteristics and trends in New Jersey, water years 1897-2003","indexId":"sir20055105","publicationYear":"2005","noYear":false,"title":"Streamflow characteristics and trends in New Jersey, water years 1897-2003"},"id":1}],"lastModifiedDate":"2012-02-02T00:14:01","indexId":"sir20055105","displayToPublicDate":"2006-02-05T00:00:00","publicationYear":"2005","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":"2005-5105","title":"Streamflow characteristics and trends in New Jersey, water years 1897-2003","docAbstract":"Streamflow statistics were computed for 111 continuous-record streamflow-gaging stations with 20 or more years of continuous record and for 500 low-flow partial-record stations, including 66 gaging stations with less than 20 years of continuous record. Daily mean streamflow data from water year 1897 through water year 2001 were used for the computations at the gaging stations. (The water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends). The characteristics presented for the long-term continuous-record stations are daily streamflow, harmonic mean flow, flow frequency, daily flow durations, trend analysis, and streamflow variability.\r\n\r\nLow-flow statistics for gaging stations with less than 20 years of record and for partial-record stations were estimated by correlating base-flow measurements with daily mean flows at long-term (more than 20 years) continuous-record stations. Instantaneous streamflow measurements through water year 2003 were used to estimate low-flow statistics at the partial-record stations. The characteristics presented for partial-record stations are mean annual flow; harmonic mean flow; and annual and winter low-flow frequency.\r\n\r\nThe annual 1-, 7-, and 30-day low- and high-flow data sets were tested for trends. The results of trend tests for high flows indicate relations between upward trends for high flows and stream regulation, and high flows and development in the basin. The relation between development and low-flow trends does not appear to be as strong as for development and high-flow trends.\r\n\r\nMonthly, seasonal, and annual precipitation data for selected long-term meteorological stations also were tested for trends to analyze the effects of climate. A significant upward trend in precipitation in northern New Jersey, Climate Division 1 was identified. For Climate Division 2, no general increase in average precipitation was observed. Trend test results indicate that high flows at undeveloped, unregulated sites have not been affected by the increase in average precipitation.\r\n\r\nThe ratio of instantaneous peak flow to 3-day mean flow, ratios of flow duration, ratios of high-flow/low-flow frequency, and coefficient of variation were used to define streamflow variability. Streamflow variability was significantly greater among the group of gaging stations located outside the Coastal Plain than among the group of gaging stations located in the Coastal Plain.","language":"ENGLISH","doi":"10.3133/sir20055105","usgsCitation":"Watson, K.M., Reiser, R.G., Nieswand, S.P., and Schopp, R.D., 2005, Streamflow characteristics and trends in New Jersey, water years 1897-2003: U.S. Geological Survey Scientific Investigations Report 2005-5105, v, 131 p. : ill. (some col.), col. maps ; 28 cm.; data tables, https://doi.org/10.3133/sir20055105.","productDescription":"v, 131 p. : ill. (some col.), col. maps ; 28 cm.; data tables","numberOfPages":"136","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":193214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7498,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5105/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4881e4b07f02db516813","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reiser, Robert G. 0000-0001-5140-2745 rreiser@usgs.gov","orcid":"https://orcid.org/0000-0001-5140-2745","contributorId":4083,"corporation":false,"usgs":true,"family":"Reiser","given":"Robert","email":"rreiser@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieswand, Steven P.","contributorId":98793,"corporation":false,"usgs":true,"family":"Nieswand","given":"Steven","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":286392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schopp, Robert D.","contributorId":10426,"corporation":false,"usgs":true,"family":"Schopp","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":286391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":73453,"text":"sir20055146 - 2005 - Effects of irrigation and rainfall reduction on ground-water recharge in the Lihue basin, Kauai, Hawaii","interactions":[],"lastModifiedDate":"2012-02-02T00:14:01","indexId":"sir20055146","displayToPublicDate":"2006-02-05T00:00:00","publicationYear":"2005","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":"2005-5146","title":"Effects of irrigation and rainfall reduction on ground-water recharge in the Lihue basin, Kauai, Hawaii","language":"ENGLISH","doi":"10.3133/sir20055146","usgsCitation":"Izuka, S.K., Oki, D.S., and Chen, C., 2005, Effects of irrigation and rainfall reduction on ground-water recharge in the Lihue basin, Kauai, Hawaii: U.S. Geological Survey Scientific Investigations Report 2005-5146, 57 p.; maps, https://doi.org/10.3133/sir20055146.","productDescription":"57 p.; maps","numberOfPages":"57","costCenters":[],"links":[{"id":192559,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7503,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5146/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611dd9","contributors":{"authors":[{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Chien-Hwa","contributorId":78829,"corporation":false,"usgs":true,"family":"Chen","given":"Chien-Hwa","email":"","affiliations":[],"preferred":false,"id":286413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":74383,"text":"ofr20041327 - 2005 - Quality-assurance data for routine water analyses by the U.S. Geological Survey Laboratory in Troy, New York—July 1995 through June 1997","interactions":[],"lastModifiedDate":"2017-04-04T13:43:58","indexId":"ofr20041327","displayToPublicDate":"2006-01-23T00:00:00","publicationYear":"2005","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":"2004-1327","title":"Quality-assurance data for routine water analyses by the U.S. Geological Survey Laboratory in Troy, New York—July 1995 through June 1997","docAbstract":"The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) office in Troy, N.Y. analyzes samples collected by USGS projects in the Northeast. The laboratory’s quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures developed to ensure proper sample collection, processing, and analysis. For the time period addressed in this report, the quality-assurance/quality-control data were stored in the laboratory’s SAS data-management system, which provides efficient review, compilation, and plotting of quality-assurance/quality-control data. This report presents and discusses samples analyzed from July 1995 through June 1997.
\nQuality-control results for 19 analytical procedures were evaluated for bias and precision. Control charts show that data from ten of the analytical procedures were biased throughout the analysis period for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, ammonium, calcium, chloride, dissolved organic carbon, magnesium, nitrate (ion chromatography), nitrate (colorimetric method), and sulfate. Four of the analytical procedures were occasionally biased but were within control limits; they were: fluoride, pH, silicon, and sodium.
\nResults from the filter-blank and analytical-blank analyses indicate that all analytical procedures in which blanks were run were within control limits, although values for a few blanks were outside the control limits.
\nSampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in 14 of the 19 procedures. Data-quality objectives (DQO’s) were met by at least 92 percent of the samples analyzed in all procedures except acid neutralizing capacity (80 percent of samples met objectives), total monomeric aluminum (87 percent of samples met objectives), organic monomeric aluminum (89 percent of samples met objectives), and chloride (89 percent of samples met objectives). The data are insufficient to evaluate the DQO’s for total aluminum. Results of the USGS interlaboratory Standard Reference Sample Program indicated acceptable data quality for most constituents over the time period. The results of the P-sample (low-ionic strength constituent) analysis indicated high data quality with good ratings in all studies. The T-sample (trace constituent) had unacceptable ratings in two studies, but received satisfactory ratings in the others. The N-sample (nutrient constituent) studies had an unacceptable rating in one and an excellent rating in the other.
\nEnvironment Canada’s NWRI program results indicated that at least 90 percent of the samples met data-quality objectives in 9 of the 12 analyses; exceptions were calcium, chloride, and silicon. Data-quality objectives were not met for calcium samples in two NWRI studies, but all of the samples analyzed were within control limits for the remaining studies. Data-quality objectives were not met for 32 percent of samples analyzed for chloride and 27 percent of samples analyzed for silicon.
\nResults from blind reference-sample analyses indicated that data-quality objectives were met by at least 90 percent of the calcium, pH, potassium, and sodium samples. Data-quality objectives were met by 77 percent of the chloride samples, 83 percent of the magnesium samples, and 80 percent of the sulfate samples. There is insufficient data to evaluate the specific conductance samples.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041327","usgsCitation":"Lincoln, T.A., Horan-Ross, D.A., McHale, M.R., and Lawrence, G.B., 2005, Quality-assurance data for routine water analyses by the U.S. Geological Survey Laboratory in Troy, New York—July 1995 through June 1997: U.S. Geological Survey Open-File Report 2004-1327, v, 23 p., https://doi.org/10.3133/ofr20041327.","productDescription":"v, 23 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":192811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1327/coverthb.jpg"},{"id":323410,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1327/ofr20041327.pdf","text":"Report","size":"2.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1327"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
Collaborative studies by the City of Austin and the U. S. Geological Survey (USGS) have identified coal-tar based sealcoat—the black, shiny emulsion painted or sprayed on asphalt pavement such as parking lots—as a major and previously unrecognized source of polycyclic aromatic hydrocarbon (PAH) contamination. Several PAHs are suspected human carcinogens and are toxic to aquatic life. Studies in Austin, Texas, showed that particles in runoff from coal-tar based sealcoated parking lots had concentrations of PAHs that were about 65 times higher than concentrations in particles washed off parking lots that had not been sealcoated. Biological studies, conducted by the City of Austin in the field and in the laboratory, indicated that PAH levels in sediment contaminated with abraded sealcoat were toxic to aquatic life and were degrading aquatic communities, as indicated by loss of species and decreased numbers of organisms. Identification of this source of PAHs may help to improve future strategies for controlling these compounds in urban water bodies across the Nation where parking lot sealcoat is used.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20053147","usgsCitation":"Van Metre, P., Mahler, B., Scoggins, M., and Hamilton, P.A., 2005, Parking lot sealcoat: a major source of polycyclic aromatic hydrocarbons (PAHs) in urban and suburban environments: U.S. Geological Survey Fact Sheet 2005-3147, 4 p., https://doi.org/10.3133/fs20053147.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":120992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3147.jpg"},{"id":7357,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3147/","linkFileType":{"id":5,"text":"html"}},{"id":327678,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3147/pdf/fs2005-3147.pdf","size":"517 kB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db689204","contributors":{"authors":[{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":286316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":286314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scoggins, Mateo","contributorId":29908,"corporation":false,"usgs":true,"family":"Scoggins","given":"Mateo","email":"","affiliations":[],"preferred":false,"id":286315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":286313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":73123,"text":"sir20055219 - 2005 - Hydrogeology and ground-water/surface water interactions in the Des Moines River valley, southwestern Minnesota, 1997-2001","interactions":[],"lastModifiedDate":"2016-04-04T09:10:27","indexId":"sir20055219","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5219","title":"Hydrogeology and ground-water/surface water interactions in the Des Moines River valley, southwestern Minnesota, 1997-2001","docAbstract":"Increased water demand in and around Windom led the U.S. Geological Survey, in cooperation with the Minnesota Department of Natural Resources, local water suppliers, and Cottonwood County, to study the hydrology of aquifers in the Des Moines River Valley near Windom. The study area is the watershed of a 30-kilometer (19-mile) reach of the Des Moines River upstream from Windom.
\nBased on stratigraphic analysis, two hydrologically and genetically separate surficial aquifers underlie the study area. The Windom aquifer has a saturated thickness of 34 meters (111 feet), and the Des Moines aquifer has a saturated thickness of 33 meters (108 ft). The surficial aquifers are relatively isolated from deeper aquifers by till, but some leakage probably occurs. Recharge to the aquifers is from areal recharge, from Cottonwood Lake, and from edge recharge. Pumping at the Windom well field induces substantial amounts of Cottonwood Lake water into the aquifer. During this study, the water level in a well located between two Red Rock wells and the river was lower than the river level during two periods. During those periods, water in the Des Moines River had the potential to recharge the aquifer. Discharge from the aquifers is primarily to municipal wells, the Des Moines River, and other surface waters.
\nMost of the ground-water samples collected in the study area consisted of calcium-magnesium bicarbonate waters. Corn and soybean herbicides and their degradates were detected at low concentrations in 14 of 27 ground-water samples and in all 3 river samples. Metolachlor ethane sulfonic acid was the most commonly detected compound and also was detected at the highest concentrations. Nutrient concentrations in ground-water samples were skewed low with high outliers, and nutrient concentrations in river samples generally were less than analytical reporting limits.
\nNearly all recharge to the aquifer in the ground-water simulation was from edge recharge (80 percent). Calibrated net areal recharge ranged from 17 to 30 percent of the average annual precipitation. Isotopic composition of ground water and Cottonwood Lake water indicated about one-half of the water withdrawn from the Windom aquifer is from Cottonwood Lake.
\nScenarios tested with the calibrated model involved increased ground-water withdrawals and changes in recharge to simulate drier or wetter weather conditions. Doubling the withdrawals from all wells in the model had a small effect except in the Windom well-field area. Maximum head declines in the Red Rock well field and the Jeffers city well were less than 40 centimeters (15 inches). In the Windom well field, the maximum head decline was 11 meters (36 feet). The Windom well field does not induce recharge from the Des Moines River. The addition of a new well that pumped 2,000 cubic meters per day (0.44 million gallons per day) in the Augusta Lake Valley area caused a 0.83-meter-deep (2.72-foot-deep) cone of depression that extended to the valley walls. The drought scenario and the high-precipitation scenario resulted in head changes in the northern part of the Augusta Lake Valley area, in the southwestern part of the Red Rock area, and near the valley edges.
\nLong-term withdrawals of water for public supplies may cause a net decrease in ground-water discharge to surface water. Water that does not evaporate, or that is not exported, is discharged to the Des Moines River but with changed water quality. Because ground-water and surface-water qualities in the study area are similar, the ground-water discharge probably has little effect on river water quality.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055219","collaboration":"In cooperation with the Minnesota Department of Natural Resources, the cities of Windom and Jeffers, Minnesota, the Red Rock Rural Water System, and the Cottonwood County Environmental Office","usgsCitation":"Cowdery, T.K., 2005, Hydrogeology and ground-water/surface water interactions in the Des Moines River valley, southwestern Minnesota, 1997-2001: U.S. Geological Survey Scientific Investigations Report 2005-5219, viii, 51 p., https://doi.org/10.3133/sir20055219.","productDescription":"viii, 51 p.","numberOfPages":"60","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7356,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5219/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","otherGeospatial":"Des Moines River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.23326873779297,\n 44.0266432544291\n ],\n [\n -95.22880554199219,\n 44.0241746551004\n ],\n [\n -95.22537231445312,\n 44.02170595296992\n ],\n [\n -95.2188491821289,\n 44.02219970162014\n ],\n [\n -95.21781921386719,\n 44.0172620300756\n ],\n [\n -95.21713256835938,\n 44.01454613545038\n ],\n [\n -95.21644592285156,\n 44.010595521219145\n ],\n [\n -95.21232604980467,\n 44.004669106432225\n ],\n [\n -95.20683288574219,\n 43.99874209952105\n ],\n [\n -95.19515991210938,\n 43.99775420746853\n ],\n [\n -95.1906967163086,\n 43.995531390213245\n ],\n [\n -95.18966674804686,\n 43.990097486381146\n ],\n [\n -95.18486022949219,\n 43.9891094504114\n ],\n [\n -95.1800537109375,\n 43.99182650975112\n ],\n [\n -95.17181396484375,\n 43.992814500489914\n ],\n [\n -95.16254425048828,\n 43.98614524381678\n ],\n [\n -95.16014099121094,\n 43.982933852960805\n ],\n [\n -95.15121459960938,\n 43.98095752608484\n ],\n [\n -95.14606475830078,\n 43.982933852960805\n ],\n [\n -95.14434814453125,\n 43.98614524381678\n ],\n [\n -95.1361083984375,\n 43.98046343408621\n ],\n [\n -95.12958526611328,\n 43.97972228837853\n ],\n [\n -95.12271881103516,\n 43.98046343408621\n ],\n [\n -95.12134552001953,\n 43.97823996920823\n ],\n [\n -95.11653900146484,\n 43.97502815071961\n ],\n [\n -95.10726928710938,\n 43.97576935502097\n ],\n [\n -95.1028060913086,\n 43.97206324099821\n ],\n [\n -95.09902954101562,\n 43.96959236982231\n ],\n [\n -95.09284973144531,\n 43.97008655228108\n ],\n [\n -95.08804321289061,\n 43.97206324099821\n ],\n [\n -95.08598327636719,\n 43.97428693716663\n ],\n [\n -95.08392333984375,\n 43.97181615850639\n ],\n [\n -95.0808334350586,\n 43.96292050418772\n ],\n [\n -95.07911682128906,\n 43.957236472025635\n ],\n [\n -95.07843017578125,\n 43.951799062869824\n ],\n [\n -95.07705688476562,\n 43.950068873803815\n ],\n [\n -95.07259368896483,\n 43.952540557050675\n ],\n [\n -95.06847381591797,\n 43.95278771972178\n ],\n [\n -95.0650405883789,\n 43.95105755943766\n ],\n [\n -95.0650405883789,\n 43.94957452481934\n ],\n [\n -95.06710052490234,\n 43.94586677637587\n ],\n [\n -95.06881713867188,\n 43.942653207310386\n ],\n [\n -95.07087707519531,\n 43.93672000802711\n ],\n [\n -95.07293701171875,\n 43.93202247202807\n ],\n [\n -95.07396697998047,\n 43.92930267631979\n ],\n [\n -95.07568359375,\n 43.92584093826389\n ],\n [\n -95.07225036621092,\n 43.923615428841146\n ],\n [\n -95.0701904296875,\n 43.923120859884854\n ],\n [\n -95.06916046142578,\n 43.91916416021903\n ],\n [\n -95.07190704345702,\n 43.91372326852401\n ],\n [\n -95.07190704345702,\n 43.9095186023826\n ],\n [\n -95.07259368896483,\n 43.90655042390404\n ],\n [\n -95.06881713867188,\n 43.903582097412894\n ],\n [\n -95.06572723388672,\n 43.90086100143824\n ],\n [\n -95.06229400634766,\n 43.89764500039522\n ],\n [\n -95.05748748779297,\n 43.89492363306686\n ],\n [\n -95.05130767822266,\n 43.892944378711476\n ],\n [\n -95.05062103271484,\n 43.889727950083014\n ],\n [\n -95.05062103271484,\n 43.886758784865066\n ],\n [\n -95.05439758300781,\n 43.884531813820914\n ],\n [\n -95.0588607788086,\n 43.88428436745461\n ],\n [\n -95.06229400634766,\n 43.883294571711055\n ],\n [\n -95.06950378417969,\n 43.88106747115985\n ],\n [\n -95.07431030273438,\n 43.87785040116185\n ],\n [\n -95.07671356201172,\n 43.876613020295025\n ],\n [\n -95.07843017578125,\n 43.87339570978613\n ],\n [\n -95.07877349853516,\n 43.86968321258775\n ],\n [\n -95.07980346679686,\n 43.867950634753456\n ],\n [\n -95.07671356201172,\n 43.86423779837696\n ],\n [\n -95.07362365722656,\n 43.860524730744096\n ],\n [\n -95.06675720214844,\n 43.86027718467949\n ],\n [\n -95.06366729736328,\n 43.86126736277113\n ],\n [\n -95.05989074707031,\n 43.862257524417934\n ],\n [\n -95.0533676147461,\n 43.86423779837696\n ],\n [\n -95.0482177734375,\n 43.865227910689136\n ],\n [\n -95.042724609375,\n 43.86324766961987\n ],\n [\n -95.03963470458984,\n 43.859286990143055\n ],\n [\n -95.04135131835936,\n 43.855821179763\n ],\n [\n -95.04718780517578,\n 43.853840626242786\n ],\n [\n -95.05542755126953,\n 43.84963173160688\n ],\n [\n -95.05989074707031,\n 43.84690817091638\n ],\n [\n -95.06298065185547,\n 43.84467971057838\n ],\n [\n -95.06813049316406,\n 43.84170830062774\n ],\n [\n -95.07190704345702,\n 43.83824146863057\n ],\n [\n -95.07087707519531,\n 43.83477443519076\n ],\n [\n -95.06675720214844,\n 43.83205019617054\n ],\n [\n -95.06092071533203,\n 43.82883048063433\n ],\n [\n -95.0588607788086,\n 43.825610591407596\n ],\n [\n -95.05680084228514,\n 43.82164741238288\n ],\n [\n -95.05542755126953,\n 43.8161976116271\n ],\n [\n -95.05680084228514,\n 43.81173831375078\n ],\n [\n -95.06023406982422,\n 43.81149056521644\n ],\n [\n -95.06332397460938,\n 43.81223380773631\n ],\n [\n -95.0650405883789,\n 43.81049956080172\n ],\n [\n -95.06813049316406,\n 43.81025180712872\n ],\n [\n -95.07293701171875,\n 43.81099506506452\n ],\n [\n -95.0760269165039,\n 43.812481553187475\n ],\n [\n -95.0815200805664,\n 43.81446347979846\n ],\n [\n -95.08392333984375,\n 43.816445340634516\n ],\n [\n -95.086669921875,\n 43.819418008560156\n ],\n [\n -95.0921630859375,\n 43.819170291885584\n ],\n [\n -95.09490966796875,\n 43.81594988159193\n ],\n [\n -95.0973129272461,\n 43.812729297610915\n ],\n [\n -95.10486602783203,\n 43.812977041006626\n ],\n [\n -95.11310577392578,\n 43.816445340634516\n ],\n [\n -95.11585235595703,\n 43.8186748554532\n ],\n [\n -95.11516571044922,\n 43.82239052849108\n ],\n [\n -95.11894226074217,\n 43.82412443010574\n ],\n [\n -95.12237548828125,\n 43.82585828136078\n ],\n [\n -95.12580871582031,\n 43.82709671571044\n ],\n [\n -95.12889862060547,\n 43.82635365818388\n ],\n [\n -95.13164520263672,\n 43.830316524772414\n ],\n [\n -95.13542175292969,\n 43.83353616014345\n ],\n [\n -95.13748168945312,\n 43.837746190472366\n ],\n [\n -95.14297485351562,\n 43.84368925703925\n ],\n [\n -95.14812469482422,\n 43.84690817091638\n ],\n [\n -95.15533447265625,\n 43.847898571010965\n ],\n [\n -95.16597747802733,\n 43.84814616846517\n ],\n [\n -95.17147064208984,\n 43.84913654800409\n ],\n [\n -95.17559051513672,\n 43.852107587953526\n ],\n [\n -95.17593383789062,\n 43.8543357707896\n ],\n [\n -95.17524719238281,\n 43.859039438939455\n ],\n [\n -95.17662048339844,\n 43.862752599074504\n ],\n [\n -95.18211364746094,\n 43.86399026772939\n ],\n [\n -95.18177032470702,\n 43.868940685397064\n ],\n [\n -95.1800537109375,\n 43.87191073865783\n ],\n [\n -95.18280029296875,\n 43.87438566998196\n ],\n [\n -95.1852035522461,\n 43.87611806075357\n ],\n [\n -95.18211364746094,\n 43.878097874251736\n ],\n [\n -95.19172668457031,\n 43.88106747115985\n ],\n [\n -95.19035339355469,\n 43.884531813820914\n ],\n [\n -95.18623352050781,\n 43.887501090045404\n ],\n [\n -95.18760681152344,\n 43.890965058573926\n ],\n [\n -95.18795013427734,\n 43.89442882564509\n ],\n [\n -95.19653320312499,\n 43.89319178910334\n ],\n [\n -95.20271301269531,\n 43.89121247718857\n ],\n [\n -95.2071762084961,\n 43.89121247718857\n ],\n [\n -95.2133560180664,\n 43.892696967291734\n ],\n [\n -95.21678924560547,\n 43.89739760850464\n ],\n [\n -95.21610260009766,\n 43.901603130856536\n ],\n [\n -95.2181625366211,\n 43.904818918105136\n ],\n [\n -95.22811889648436,\n 43.906055713100805\n ],\n [\n -95.23086547851562,\n 43.90828187933754\n ],\n [\n -95.23155212402344,\n 43.91149730580548\n ],\n [\n -95.2356719970703,\n 43.91520719741534\n ],\n [\n -95.2360153198242,\n 43.92089524870123\n ],\n [\n -95.23807525634766,\n 43.922378998741294\n ],\n [\n -95.24116516113281,\n 43.924604554419055\n ],\n [\n -95.24391174316405,\n 43.9283136288617\n ],\n [\n -95.24219512939453,\n 43.9349893800415\n ],\n [\n -95.2401351928711,\n 43.939439464527474\n ],\n [\n -95.2349853515625,\n 43.942653207310386\n ],\n [\n -95.23223876953125,\n 43.94512519893334\n ],\n [\n -95.23670196533203,\n 43.94611396680085\n ],\n [\n -95.2356719970703,\n 43.94858581451534\n ],\n [\n -95.23395538330078,\n 43.95130472827632\n ],\n [\n -95.23429870605469,\n 43.954270674161876\n ],\n [\n -95.23944854736328,\n 43.95550644126057\n ],\n [\n -95.23910522460938,\n 43.95921358836687\n ],\n [\n -95.23841857910156,\n 43.96069638244953\n ],\n [\n -95.24150848388672,\n 43.96761559886923\n ],\n [\n -95.24906158447266,\n 43.96662718872196\n ],\n [\n -95.25592803955078,\n 43.96489743138839\n ],\n [\n -95.26176452636719,\n 43.964156091397676\n ],\n [\n -95.26313781738281,\n 43.96613297748067\n ],\n [\n -95.26485443115234,\n 43.96860399256935\n ],\n [\n -95.26725769042967,\n 43.97255740289798\n ],\n [\n -95.2679443359375,\n 43.9760164210655\n ],\n [\n -95.26760101318358,\n 43.9814516139716\n ],\n [\n -95.26760101318358,\n 43.986392266686835\n ],\n [\n -95.26760101318358,\n 43.99034449280364\n ],\n [\n -95.26176452636719,\n 43.99306149560464\n ],\n [\n -95.25386810302734,\n 43.99503741951537\n ],\n [\n -95.24734497070312,\n 43.995531390213245\n ],\n [\n -95.24494171142578,\n 43.997507231885436\n ],\n [\n -95.24665832519531,\n 44.00269350325321\n ],\n [\n -95.24734497070312,\n 44.00540994066245\n ],\n [\n -95.24459838867188,\n 44.006644643819655\n ],\n [\n -95.24391174316405,\n 44.010595521219145\n ],\n [\n -95.24356842041014,\n 44.013558506564664\n ],\n [\n -95.24356842041014,\n 44.01627444642218\n ],\n [\n -95.23876190185547,\n 44.02047156335411\n ],\n [\n -95.2346420288086,\n 44.02195282780904\n ],\n [\n -95.23326873779297,\n 44.0266432544291\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db6255b1","contributors":{"authors":[{"text":"Cowdery, Timothy K. 0000-0001-9402-6575 cowdery@usgs.gov","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":456,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy","email":"cowdery@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":286312,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73223,"text":"sir20055214 - 2005 - Surface water-quality and water-quantity data from selected urban runoff-monitoring sites at the Rocky Mountain Arsenal, Commerce City, Colorado, water years 1988-2004","interactions":[],"lastModifiedDate":"2019-04-22T09:08:57","indexId":"sir20055214","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5214","title":"Surface water-quality and water-quantity data from selected urban runoff-monitoring sites at the Rocky Mountain Arsenal, Commerce City, Colorado, water years 1988-2004","docAbstract":"The U.S. Geological Survey has monitored the quality and quantity of streamflow at the Rocky Mountain Arsenal (RMA) northeast of Denver, Colorado, since the early 1990s in cooperation with the U.S. Army. This report, prepared in cooperation with the U.S. Fish and Wildlife Service, documents existing surface-water-quality conditions on the RMA. All RMA water-quality data for the Irondale Gulch and First Creek Basins adjacent to and on the RMA were reviewed. Where applicable, water-quality data were compared to State standards established by the Colorado Department of Public Health and Environment. At both the Havana Interceptor below 56th Avenue gaging station and the Uvalda Interceptor below 56th Avenue gaging station, all of the dissolved-oxygen concentrations met the State standard requiring at least 5.0 milligrams per liter (mg/L) of dissolved oxygen for the protection of aquatic life. In contrast, the dissolved-oxygen concentrations at the Peoria Interceptor below 56th Avenue gage commonly were less than 5.0 mg/L. Excluding one suspect concentration of 1.6 mg/L, the dissolved-oxygen concentrations for the First Creek Basin ranged from 4.2 to 12.6 mg/L. Excluding the one suspect value, three dissolved-oxygen concentrations failed to meet the State standard of 5.0 mg/L at the First Creek below Buckley Road site. At the Peoria Interceptor below 56th Avenue site, all pH values were within the range specified by the State standard (6.50-8.99). Results of seven sampling events at the Havana Interceptor below 56th Avenue gaging station indicated a pH greater than or equal to 9 (pH values of 9 or greater exceed the upper limit of the standard). No sampling events indicated a pH less than 6.50. Results from one sampling event at the Uvalda Interceptor below 56th Avenue indicated pH values outside the range specified by the State standard. The concentrations obtained for chloride, magnesium, and sodium generally were below 200 mg/L at all three Irondale Gulch monitoring stations for the entire period of record, but there were a few sampling events at each of these sites where much higher concentrations for these analytes were obtained. The median concentrations for calcium, magnesium, and sodium generally were higher at the First Creek below Buckley Road site than in the three Irondale Gulch sites, while the 90th percentile and maximum concentrations for magnesium and sodium generally were higher at the three Irondale Gulch sites than at the First Creek below Buckley Road site. The urban runoff flowing onto the RMA had low concentrations and few, if any, detections for most organic contaminants. Part of the reason for low detections of organic contaminants may be in how the samples are collected. The existing surface-water sampling program was not designed specifically to target storm runoff and therefore does not characterize water quality for all hydrologic regimes, most notably storm runoff. As a result, the existing data may not adequately represent potential contaminant transport onto the RMA. In addition, during stormwater-runoff events, the sites examined for this report frequently are subject to sharp increases in discharge, and just as quickly the discharge rapidly recedes. These types of transient flow events make water-quality sampling difficult, and none of the sites have a safe place to sample the higher flows that occur in any given year. As a result, most of the surface-water-quality samples were collected after the flow had decreased substantially from the peak flow, which may have transported much of the chemical contaminant load through the system. Thus, little is known about the water quality during the critical initial stormwater-runoff period when contaminants are most likely to be mobilized and transported through the stormwater conveyances past the locations where gaging stations are located.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055214","usgsCitation":"Gordon, J.D., Schild, D.E., Capesius, J.P., and Slaughter, C.B., 2005, Surface water-quality and water-quantity data from selected urban runoff-monitoring sites at the Rocky Mountain Arsenal, Commerce City, Colorado, water years 1988-2004 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5214, 29 p., https://doi.org/10.3133/sir20055214.","productDescription":"29 p.","numberOfPages":"29","onlineOnly":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":121052,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5214.jpg"},{"id":7469,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5214/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Commerce City, Rocky Mountain Arsenal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.02655029296875,\n 39.69979076426969\n ],\n [\n -104.65919494628908,\n 39.69979076426969\n ],\n [\n -104.65507507324219,\n 39.91447633139619\n ],\n [\n -105.02655029296876,\n 39.91026292816486\n ],\n [\n -105.02655029296875,\n 39.69979076426969\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af1e4b07f02db6917fa","contributors":{"authors":[{"text":"Gordon, John D. 0000-0001-8396-8524 jgordon@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-8524","contributorId":347,"corporation":false,"usgs":true,"family":"Gordon","given":"John","email":"jgordon@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schild, Donald E. deschild@usgs.gov","contributorId":1637,"corporation":false,"usgs":true,"family":"Schild","given":"Donald","email":"deschild@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":286341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capesius, Joseph P. capesius@usgs.gov","contributorId":698,"corporation":false,"usgs":true,"family":"Capesius","given":"Joseph","email":"capesius@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":286340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slaughter, Cecil B.","contributorId":82005,"corporation":false,"usgs":true,"family":"Slaughter","given":"Cecil","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":286342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":73143,"text":"wdrAL041 - 2005 - Water Resources Data, Alabama, Water Year 2004","interactions":[],"lastModifiedDate":"2012-02-03T00:10:04","indexId":"wdrAL041","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"AL-04-1","title":"Water Resources Data, Alabama, Water Year 2004","docAbstract":"Water resources data for the 2004 water year for Alabama consist of records of stage, discharge, and water quality of streams; stages and contents of lakes and reservoirs; and water levels in wells. This report includes records on both surface and ground water in the State. Specifically, it contains: (1) discharge records for 131 streamflow-gaging stations, for 19 partial-record or miscellaneous streamflow stations; (2) stage and content records for 16 lakes and reservoirs and stage at 44 stations; (3) water-quality records for 21 streamflow-gaging stations, for 11 ungaged streamsites, and for 1 precipitation stations; (4) water temperature at 20 surface-water stations; (5) specific conductance and dissolved oxygen at 20 stations; (6) turbidity at 5 stations; (7) sediment data at 6 stations; (8) water-level records for 2 recording observa-tion wells; and (9) water-quality records for 6 ground-water stations. Also included are lists of active and discontinued continuous-record surface-water-quality stations, and partial-record and miscellaneous sur-face-water-quality stations. These data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating Federal, State, and local agencies in Alabama.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/wdrAL041","collaboration":"Prepared in cooperation with the Alabama Department of\r\nEnvironmental Management, the Alabama Department of\r\nTransportation, and with other State, municipal, and Federal\r\nagencies","usgsCitation":"Psinakis, W.L., Lambeth, D., Stricklin, V., and Treece, M., 2005, Water Resources Data, Alabama, Water Year 2004: U.S. Geological Survey Water Data Report AL-04-1, x, 602 p., https://doi.org/10.3133/wdrAL041.","productDescription":"x, 602 p.","numberOfPages":"615","temporalStart":"2003-10-01","temporalEnd":"2004-09-30","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":192928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7358,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-al-04-1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc76d","contributors":{"authors":[{"text":"Psinakis, W. L.","contributorId":104074,"corporation":false,"usgs":true,"family":"Psinakis","given":"W.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambeth, D.S.","contributorId":21587,"corporation":false,"usgs":true,"family":"Lambeth","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":286317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricklin, V.E.","contributorId":106146,"corporation":false,"usgs":true,"family":"Stricklin","given":"V.E.","affiliations":[],"preferred":false,"id":286320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Treece, M.W.","contributorId":91134,"corporation":false,"usgs":true,"family":"Treece","given":"M.W.","affiliations":[],"preferred":false,"id":286318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":73243,"text":"sir20055267 - 2005 - Water-quality and biological characteristics of the Little White River and selected tributaries, Todd County, South Dakota, 2002-2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"sir20055267","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5267","title":"Water-quality and biological characteristics of the Little White River and selected tributaries, Todd County, South Dakota, 2002-2003","language":"ENGLISH","doi":"10.3133/sir20055267","usgsCitation":"Williamson, J., 2005, Water-quality and biological characteristics of the Little White River and selected tributaries, Todd County, South Dakota, 2002-2003: U.S. Geological Survey Scientific Investigations Report 2005-5267, 76 p., https://doi.org/10.3133/sir20055267.","productDescription":"76 p.","numberOfPages":"76","costCenters":[],"links":[{"id":191833,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7471,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5267/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e72f2","contributors":{"authors":[{"text":"Williamson, Joyce E. jewillia@usgs.gov","contributorId":1964,"corporation":false,"usgs":true,"family":"Williamson","given":"Joyce E.","email":"jewillia@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":286348,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73233,"text":"sir20055249 - 2005 - Occurrence of organic wastewater compounds in wastewater effluent and the Big Sioux River in the Upper Big Sioux River basin, South Dakota, 2003-2004","interactions":[],"lastModifiedDate":"2024-10-29T21:31:25.259815","indexId":"sir20055249","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5249","title":"Occurrence of organic wastewater compounds in wastewater effluent and the Big Sioux River in the Upper Big Sioux River basin, South Dakota, 2003-2004","docAbstract":"The U.S. Geological Survey (USGS) in cooperation with the East Dakota Water Development District conducted a reconnaissance study to determine the occurrence of organic wastewater compounds (OWCs) in wastewater effluent and the Big Sioux River at or near the cities of Watertown, Volga, and Brookings in the upper Big Sioux River Basin during August 2003 through June 2004. For each city, samples were collected from the wastewater treatment plant (WWTP) effluent and from Big Sioux River sites upstream and downstream from where the wastewater effluent discharges to the Big Sioux River. For Watertown and Brookings, samples were collected during a low-flow period (August 2003) and a runoff period (June 2004). For Volga, samples were collected during two low-flow periods (August 2003 and October 2003) and a runoff period (June 2004).
A total of 125 different OWCs were analyzed for and were classified into six compound classes-human pharmaceutical compounds (HPCs), human and veterinary antibiotic compounds (HVACs), major agricultural herbicides (MAHs), household, industrial, and minor agricultural compounds (HIACs), polyaromatic hydrocarbons (PAHs), and sterol compounds (SCs). Of the 125 different OWCs, 45 had acceptable analytical method performance, were detected at concentrations greater than the study reporting levels, and were included in analyses and discussion related to occurrence of OWCs in wastewater effluents and the Big Sioux River.
OWCs in all six compound classes were detected in water samples from sampling sites in the Watertown area. The Watertown WWTP discharged continuously to the Big Sioux River during both the low-flow August 2003 and runoff June 2004 sampling periods. Total OWC concentrations for Big Sioux River sites upstream from the Watertown WWTP discharge generally were small, less than 6 micrograms per liter (µg/L) for both sampling periods. SCs accounted for nearly all of the total OWC concentrations for upstream Big Sioux River sites for the low-flow August 2003 sampling period, and MAHs accounted for nearly all of the total OWC concentrations for the runoff June 2004 sampling period. Total OWC concentrations for samples collected from the Watertown wastewater effluent were relatively large for both sampling periods (estimated concentrations ranged from 20 to 41 µg/L), and primarily consisted of HIACs, SCs, and HVACs. Total OWC concentrations for Big Sioux River sites downstream from the Watertown WWTP discharge were relatively large for the low-flow August 2003 sampling period (estimated concentrations ranged from 6.9 to 19 µg/L) and smaller for the runoff June 2004 sampling period (estimated concentrations ranged from 3.3 to 6.5 µg/L), a pattern that probably reflects a greater fraction of the total flow of the Big Sioux River being derived from WWTP discharge during the low-flow sampling period. Major OWC classes contributing to total OWC concentrations for Big Sioux River sites downstream from the Watertown WWTP were HIACs, SCs, and HVACs. Total OWC concentrations decreased substantially between the two downstream Big Sioux River sites. Although confident conclusions could not be made primarily due to possible effects of non-Lagrangian sampling, OWC results for the Watertown area might indicate that (1) OWCs for upstream Big Sioux River sites probably were primarily contributed by nonpoint agricultural sources, with livestock agriculture accounting for most of the total OWC concentration for the low-flow August 2003 sampling period, and crop agriculture accounting for most of the total OWC concentration for the runoff June 2004 sampling period; (2) OWCs for downstream Big Sioux River sites were substantially influenced by contributions from the Watertown WWTP during both the low-flow and runoff sampling periods; and (3) contributions of OWCs that might be derived from nonpoint livestock agricultural sources increased in proportion for the most downstream site for both the low-flow and runoff sampling periods. Suspected endocrine-disrupting compounds (EDCs) were detected in all Big Sioux River samples in the Watertown area. For both the low-flow and runoff sampling periods, the numbers of EDCs detected, and EDC concentrations and loads generally were larger for downstream Big Sioux River sites than for upstream Big Sioux River sites. Combined EDC concentrations for downstream Big Sioux River sites consisted mostly of HIACs for the low-flow sampling period and both HIACs and MAHs for the runoff sampling period.
OWCs in all compound classes except PAHs were detected in samples from sites in the Volga area. The Volga WWTP was not discharging to the Big Sioux River during the low-flow August 2003 and runoff June 2004 sampling periods, but was discharging continuously to the Big Sioux River during the low-flow October 2003 sampling period. For the low-flow August 2003 sampling period, the upstream Big Sioux River site had larger total OWC concentrations and loads than downstream Big Sioux River sites, and SCs accounted for most of the total OWC concentration for all Big Sioux River sites. For the low-flow October 2003 sampling period, when the Volga WWTP was discharging to the Big Sioux River, total OWC concentrations and loads were larger for the downstream Big Sioux River site than for the upstream site, and the increase in load corresponded well with the load contributed by the Volga wastewater effluent discharge, especially for HIACs. HIACs and SCs accounted for most of the total OWC concentrations for Big Sioux River sites for the October 2003 sampling period. For the June 2004 runoff sampling period, the upstream Big Sioux River site had smaller total OWC concentrations and loads than downstream Big Sioux River sites, and MAHs accounted for most of the total OWC concentrations for all Big Sioux River sites. Although confident conclusions could not be made due to possible effects of non-Lagrangian sampling, the data might indicate that (1) for the low-flow August 2003 sampling period, nonpoint livestock agricultural and/or human wastewater sources might have been the primary contributors to occurrence of OWCs at Big Sioux River sampling sites; (2) for the low-flow October 2003 sampling period, nonpoint livestock sources and upstream human wastewater sources primarily contributed to occurrence of OWCs at Big Sioux River sampling sites; (3) for the runoff June 2004 sampling period, nonpoint crop agricultural sources primarily contributed to occurrence of OWCs at Big Sioux River sampling sites; (4) for the low-flow August 2003 and runoff June 2004 sampling periods, seepage of water from the Volga WWTP had little effect on downstream OWC concentrations; and (5) for the low-flow October 2003 sampling period, the Volga wastewater effluent discharge contributed to downstream OWC concentrations. EDCs were detected in all samples collected from sampling sites in the Volga area. For all sampling periods, total EDC concentrations generally were similar between upstream and downstream Big Sioux River sites and consisted of HIACs and MAHs. HIACs accounted for most of the total EDC concentrations for the low-flow August 2003 and October 2003 sampling periods, and MAHs accounted for most of the total EDC concentrations for the runoff June 2004 sampling period for all Big Sioux River sites.
OWCs in all compound classes except PAHs were detected in water samples from sampling sites in the Brookings area. The Brookings WWTP discharged continuously to the Big Sioux River during all sampling periods. For the low-flow August 2003 sampling period, the upstream site had slightly smaller total OWC concentrations and loads compared to the downstream Big Sioux River sites. SCs and HIACs accounted for most of the total OWC concentration in all Big Sioux River sampling sites, but the proportion of SCs increased at the most downstream site. For the runoff June 2004 sampling period, the upstream site generally had smaller total OWC concentrations and loads than downstream Big Sioux River sites. MAHs accounted for most of the total OWC concentration for all Big Sioux River sites, but the proportion of SCs increased at the most downstream site. Although confident conclusions could not be made due to possible effects of non-Lagrangian sampling, the data might indicate that (1) for the low-flow August 2003 sampling period, nonpoint livestock agricultural sources probably primarily contributed to occurrence of OWCs at all Big Sioux River sampling sites, and the Brookings WWTP wastewater effluent discharge contributed but did not have a substantial effect on concentrations at downstream sites; and (2) for the runoff June 2004 sampling period, nonpoint crop agricultural sources primarily contributed to occurrence of OWCs at all Big Sioux River sites, contributions of OWCs that might be derived from nonpoint livestock agricultural sources increased in proportion to other sources for the most downstream site, and the Brookings WWTP wastewater effluent discharge probably did not substantially contribute to total OWC concentrations at downstream sampling sites. EDCs were detected in all samples collected from sampling sites in the Brookings area. Total EDC concentrations for the upstream site consisted entirely of MAHs. Total EDC concentrations for downstream sites consisted of MAHs and HIACs. HIACs accounted for most of the total EDC concentrations for the low-flow August 2003 sampling period, and MAHs accounted for most of the total EDC concentrations for the runoff June 2004 sampling period for downstream Big Sioux River sites.
The city of Watertown is located near the upstream part of the Big Sioux River Basin, where the mean annual flow of the Big Sioux River is less than 100 cubic feet per second (ft3/s). Watertown WWTP discharges can account for a substantial part of the flow in the Big Sioux River, especially during low-flow periods. Effects of the Watertown WWTP wastewater effluent discharges on the occurrence of OWCs in the Big Sioux River downstream were apparent during both the low-flow and runoff sampling periods. For Volga and Brookings, which are farther downstream and where the mean annual flow of the Big Sioux River exceeds 400 ft3/s, wastewater effluent discharges from the Volga and Brookings WWTPs probably influenced the occurrence of OWCs in the Big Sioux River, but probably did not substantially contribute to total OWC concentrations, especially during the runoff sampling period.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055249","usgsCitation":"Sando, S.K., Furlong, E.T., Gray, J.L., Meyer, M.T., and Bartholomay, R.C., 2005, Occurrence of organic wastewater compounds in wastewater effluent and the Big Sioux River in the Upper Big Sioux River basin, South Dakota, 2003-2004: U.S. Geological Survey Scientific Investigations Report 2005-5249, 108 p., https://doi.org/10.3133/sir20055249.","productDescription":"108 p.","numberOfPages":"108","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":191832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7470,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5249/","linkFileType":{"id":5,"text":"html"}},{"id":463372,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86771.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Upper Big Sioux River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.974609375,\n 43.004647127794435\n ],\n [\n -96.5478515625,\n 43.004647127794435\n ],\n [\n -96.5478515625,\n 45.9511496866914\n ],\n [\n -103.974609375,\n 45.9511496866914\n ],\n [\n -103.974609375,\n 43.004647127794435\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af5e4b07f02db69231f","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":286347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":286344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286346,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":73153,"text":"sir20055188 - 2005 - Hydrologic and water-quality conditions in the Kansas River, northeast Kansas, November 2001–August 2002, and simulation of ammonia assimilative capacity and bacteria transport during low flow","interactions":[],"lastModifiedDate":"2022-01-20T19:31:00.004636","indexId":"sir20055188","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5188","title":"Hydrologic and water-quality conditions in the Kansas River, northeast Kansas, November 2001–August 2002, and simulation of ammonia assimilative capacity and bacteria transport during low flow","docAbstract":"Large concentrations of ammonia and densities of bacteria have been detected in reaches of the Kansas River in northeast Kansas during low streamflow conditions, prompting the Kansas Department of Health and Environment (KDHE) to list these reaches as water-quality limited with respect to ammonia and fecal coliform bacteria. Sources for ammonia and bacteria in the watershed consist of wastewater-treatment facilities (WWTFs) and agricultural and urban runoff. The U.S. Geological Survey (USGS), in cooperation with KDHE, conducted an investigation of the Kansas River to characterize hydrologic and water-quality conditions and to simulate ammonia assimilative capacity and bacteria transport during low streamflow. This report characterizes the water-quality conditions, documents the calibration of a two-dimensional water-quality model, and presents results of hypothetical simulations of existing and future WWTFs discharging to the Kansas River during low streamflow.
\nWater samples were collected during low streamflow conditions at 50 sampling sites along and near the Kansas River between Wamego and Kansas City, Kansas, during three synoptic surveys conducted between November 2001 and August 2002. The analytical results from these samples indicated that ammonia and other nutrient concentrations and fecal coliform bacteria densities increased in the Kansas River from Wamego to Kansas City. Point sources were the primary contributors of ammonia and fecal coliform bacteria during low-flow conditions. Generally, ammonia concentrations in the Kansas River were largest at sampling sites just downstream from WWTFs. Overall, ammonia concentrations in the Kansas River, tributaries, and WWTF effluent were larger in the winter than during the summer. None of the main-stem sample concentrations exceeded the State of Kansas pH- and temperature-dependent chronic aquatic-life criteria for ammonia during the sampling periods. Other nutrients, such as total nitrogen and total phosphorus, indicated a similar, but less variable, spatial pattern along the main stem of the Kansas River, with concentrations increasing slightly downstream from major WWTFs. The temporal variance defined by the results of synoptic survey III (July 22–August 8, 2002) indicated that ammonia concentrations in the Kansas River sometimes varied daily by as much as 155 percent at a single site.
\nSamples analyzed for densities of fecal coliform bacteria illustrated a seasonal, spatial, and temporal pattern slightly different from that of nutrients. Overall, the bacteria densities measured during the summer were larger than the densities measured in the winter. The only fecal coliform bacteria density to exceed the former State water-quality, single-sample criteria of 2,000 col/100 mL (colonies per 100 milliliters of water) was measured at 4,000 col/100 mL during synoptic III (summer 2002) on the main stem of the Kansas River at Kansas City. Temporal variability measured during synoptic survey III indicated up to a 263-percent difference in bacteria density over a 12-day period.
\nInstantaneous loads of ammonia and bacteria were computed to determine primary inputs to the Kansas River and ammonia and bacteria decay rates in the river. The Oakland WWTF in Topeka was the largest contributor of both ammonia and bacteria on the basis of samples collected during the three synoptic surveys, except for fecal coliform bacteria collected during synoptic survey III when the DeSoto WWTF was discharging the largest concentration of bacteria. The ammonia assimilative process was about twice as effective during the summer synoptic survey than it was during the winter survey. Decay of fecal coliform bacteria density was less evident and appeared to have little seasonal effect on the basis of data collected for this report. The summer low-streamflow water-quality conditions were suitable for nitrification, algae that consume ammonia, and consequently, decaying organic matter that consume oxygen. The consumption of dissolved oxygen due to nitrification and decaying algae contributed to three measurements of dissolved oxygen that were less than the State of Kansas aquatic-life-support use criteria of 5.0 milligrams per liter.
\nCE–QUAL–W2, a two-dimensional, hydrodynamic and water-quality model, was used to simulate ammonia and bacteria transport in the Kansas River from Topeka to Kansas City. The model was calibrated and verified using data from the three synoptic surveys. The calibrated model successfully simulated the hydrodynamics, water temperature, dissolved oxygen, ammonia, and fecal coliform bacteria in the Kansas River. Simulated in-stream ammonia concentrations were compared to measured concentrations upstream to downstream along the Kansas River. The simulated in-stream ammonia concentrations mostly overestimated the measured values for both winter and summer, with a few exceptions. Comparisons between measured and simulated in-stream ammonia concentrations indicated ammonia assimilation was simulated more accurately in the summer than during the winter.
\nFour hypothetical simulations of varied effluent discharges from existing WWTFs and addition of a proposed WWTF near DeSoto were simulated to better understand future water-quality conditions in the Kansas River. Results indicated that ammonia and dissolved-oxygen concentrations in the Kansas River will decrease from the conditions observed during synoptic surveys II (February 25 through March 1, 2002) and III (July 22 through August 8, 2002) except near the proposed WWTF where concentrations of ammonia would be near or exceed criteria for waterborne species. Effects of the proposed WWTF on dissolved oxygen would result in concentrations less than the State of Kansas aquatic-life-support use criteria of 5.0 milligrams per liter for 1 to 2 miles downstream from either of the proposed sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055188","collaboration":"Prepared in cooperation with the Kansas Department of Health and Environment","usgsCitation":"Rasmussen, P.P., and Christensen, V.G., 2005, Hydrologic and water-quality conditions in the Kansas River, northeast Kansas, November 2001–August 2002, and simulation of ammonia assimilative capacity and bacteria transport during low flow: U.S. Geological Survey Scientific Investigations Report 2005-5188, viii, 111 p., https://doi.org/10.3133/sir20055188.","productDescription":"viii, 111 p.","numberOfPages":"120","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20055188.JPG"},{"id":394604,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_75451.htm"},{"id":7359,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5188/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas","otherGeospatial":"Kansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.98480224609374,\n 39.918162846609455\n ],\n [\n -95.92987060546874,\n 39.890772566959534\n ],\n [\n -95.86944580078125,\n 39.838068180000015\n ],\n [\n -95.78155517578124,\n 39.77054750039529\n ],\n [\n -95.7073974609375,\n 39.768436410838426\n ],\n [\n -95.657958984375,\n 39.70929962338767\n ],\n [\n -95.58380126953125,\n 39.65011210186371\n ],\n [\n -95.52337646484375,\n 39.63530729658601\n ],\n [\n -95.482177734375,\n 39.59722324495565\n ],\n [\n -95.34210205078125,\n 39.52946653645165\n ],\n [\n -95.2679443359375,\n 39.480725519034394\n ],\n [\n -95.21026611328125,\n 39.41922073655956\n ],\n [\n -95.1690673828125,\n 39.35766163717121\n ],\n [\n -95.11962890625,\n 39.287545585410435\n ],\n [\n -95.0811767578125,\n 39.232253141714885\n ],\n [\n -94.93560791015625,\n 39.20246222588238\n ],\n [\n -94.88067626953125,\n 39.191819549771694\n ],\n [\n -94.7735595703125,\n 39.191819549771694\n ],\n [\n -94.74334716796875,\n 39.17052936145295\n ],\n [\n -94.7076416015625,\n 39.17478791493289\n ],\n [\n -94.68292236328124,\n 39.1833042481843\n ],\n [\n -94.65545654296875,\n 39.1833042481843\n ],\n [\n -94.65545654296875,\n 39.15988184949157\n ],\n [\n -94.6417236328125,\n 39.155622393423215\n ],\n [\n -94.6142578125,\n 39.15988184949157\n ],\n [\n -94.59503173828125,\n 39.155622393423215\n ],\n [\n -94.60052490234375,\n 39.138581990583525\n ],\n [\n -94.603271484375,\n 39.11301365149975\n ],\n [\n -94.60601806640625,\n 38.84826438869913\n ],\n [\n -94.603271484375,\n 38.80118939192329\n ],\n [\n -94.6636962890625,\n 38.805470223177466\n ],\n [\n -94.70489501953125,\n 38.79476766282312\n ],\n [\n -94.77081298828125,\n 38.788345355085625\n ],\n [\n -94.82025146484375,\n 38.79048618862274\n ],\n [\n -94.8779296875,\n 38.79904887985135\n ],\n [\n -94.9383544921875,\n 38.79048618862274\n ],\n [\n -95.00701904296875,\n 38.756225137839074\n ],\n [\n -95.0592041015625,\n 38.77121637244273\n ],\n [\n -95.0811767578125,\n 38.788345355085625\n ],\n [\n -95.13336181640625,\n 38.80975079723835\n ],\n [\n -95.20477294921874,\n 38.831149809348744\n ],\n [\n -95.26519775390625,\n 38.83328935686689\n ],\n [\n -95.30639648437499,\n 38.807610542357594\n ],\n [\n -95.39703369140625,\n 38.775499003812946\n ],\n [\n -95.49041748046875,\n 38.76693348394696\n ],\n [\n -95.53985595703124,\n 38.775499003812946\n ],\n [\n -95.6634521484375,\n 38.79048618862274\n ],\n [\n -95.74310302734374,\n 38.805470223177466\n ],\n [\n -95.78704833984375,\n 38.83328935686689\n ],\n [\n -95.899658203125,\n 38.84826438869913\n ],\n [\n -95.965576171875,\n 38.86751337001198\n ],\n [\n -96.0479736328125,\n 38.880343129473644\n ],\n [\n -96.08367919921875,\n 38.88889501576177\n ],\n [\n -96.141357421875,\n 38.87179021382536\n ],\n [\n -96.19354248046875,\n 38.843986129756615\n ],\n [\n -96.25946044921875,\n 38.85040342169187\n ],\n [\n -96.295166015625,\n 38.83756825896614\n ],\n [\n -96.34735107421875,\n 38.843986129756615\n ],\n [\n -96.40228271484375,\n 38.84826438869913\n ],\n [\n -96.52862548828125,\n 38.856820134743636\n ],\n [\n -96.60003662109374,\n 38.846125291387025\n ],\n [\n -96.63848876953125,\n 38.83756825896614\n ],\n [\n -96.6851806640625,\n 38.80332983969899\n ],\n [\n -96.74560546875,\n 38.739088441876866\n ],\n [\n -96.767578125,\n 38.70265930723801\n ],\n [\n -96.8060302734375,\n 38.61257832462118\n ],\n [\n -96.8389892578125,\n 38.60828592850559\n ],\n [\n -96.89666748046874,\n 38.62974534092597\n ],\n [\n -96.90490722656249,\n 38.67264490154078\n ],\n [\n -96.90490722656249,\n 38.70908932739828\n ],\n [\n -96.910400390625,\n 38.75408327579141\n ],\n [\n -96.8719482421875,\n 38.83756825896614\n ],\n [\n -96.84722900390625,\n 38.89103282648846\n ],\n [\n -96.83624267578125,\n 38.94018471320357\n ],\n [\n -96.8170166015625,\n 38.97222194853654\n ],\n [\n -96.78955078125,\n 39.055450960258554\n ],\n [\n -96.84997558593749,\n 39.102357437817595\n ],\n [\n -96.87744140625,\n 39.132190775931036\n ],\n [\n -96.8939208984375,\n 39.179046210512645\n ],\n [\n -96.90216064453125,\n 39.223742741391305\n ],\n [\n -96.92138671875,\n 39.29392267616436\n ],\n [\n -96.9268798828125,\n 39.32792401769028\n ],\n [\n -96.96533203125,\n 39.364032338047984\n ],\n [\n -96.9708251953125,\n 39.41497702499074\n ],\n [\n -96.89666748046874,\n 39.41073305508498\n ],\n [\n -96.86370849609375,\n 39.35766163717121\n ],\n [\n -96.79504394531249,\n 39.30029918615029\n ],\n [\n -96.6961669921875,\n 39.27266344858914\n ],\n [\n -96.65496826171874,\n 39.22587043822116\n ],\n [\n -96.55334472656249,\n 39.22161498006378\n ],\n [\n -96.5203857421875,\n 39.22799807055236\n ],\n [\n -96.45996093749999,\n 39.26628442213066\n ],\n [\n -96.492919921875,\n 39.3024245604149\n ],\n [\n -96.5203857421875,\n 39.33429742980725\n ],\n [\n -96.5863037109375,\n 39.38738660316804\n ],\n [\n -96.6192626953125,\n 39.41285507232951\n ],\n [\n -96.64398193359375,\n 39.444677580473424\n ],\n [\n -96.64398193359375,\n 39.47224533091451\n ],\n [\n -96.62750244140625,\n 39.50192146626985\n ],\n [\n -96.56707763671875,\n 39.544293973019904\n ],\n [\n -96.49017333984375,\n 39.554883059924016\n ],\n [\n -96.45721435546875,\n 39.57817336212527\n ],\n [\n -96.427001953125,\n 39.63319206567459\n ],\n [\n -96.4105224609375,\n 39.65857056750545\n ],\n [\n -96.3885498046875,\n 39.71141252523694\n ],\n [\n -96.3336181640625,\n 39.71775084250469\n ],\n [\n -96.251220703125,\n 39.715638134796336\n ],\n [\n -96.1688232421875,\n 39.7240885773337\n ],\n [\n -96.12762451171875,\n 39.71986348549764\n ],\n [\n -96.10565185546875,\n 39.76210275375137\n ],\n [\n -96.0919189453125,\n 39.80431612840035\n ],\n [\n -96.05072021484375,\n 39.857046423130654\n ],\n [\n -96.00128173828125,\n 39.91605629078665\n ],\n [\n -95.98480224609374,\n 39.918162846609455\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611875","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":286322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286321,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":73173,"text":"sir20055247 - 2005 - Hydrogeology and water resources of Ruby Valley, northeastern Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:02","indexId":"sir20055247","displayToPublicDate":"2006-01-19T00:00:00","publicationYear":"2005","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":"2005-5247","title":"Hydrogeology and water resources of Ruby Valley, northeastern Nevada","language":"ENGLISH","doi":"10.3133/sir20055247","usgsCitation":"Berger, D.L., 2005, Hydrogeology and water resources of Ruby Valley, northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2005-5247, 48 p., https://doi.org/10.3133/sir20055247.","productDescription":"48 p.","numberOfPages":"48","costCenters":[],"links":[{"id":192931,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7361,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5247/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db625253","contributors":{"authors":[{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":286325,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":73053,"text":"ds148 - 2005 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, 2005: quality-assurance data and comparison to water-quality standards","interactions":[],"lastModifiedDate":"2015-10-27T18:49:33","indexId":"ds148","displayToPublicDate":"2006-01-16T00:00:00","publicationYear":"2005","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":"148","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, 2005: quality-assurance data and comparison to water-quality standards","docAbstract":"When water is released through the spillways of dams, air is entrained in the water, increasing the downstream concentration of dissolved gases. Excess dissolved-gas concentrations can have adverse effects on freshwater aquatic life. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, collected dissolved-gas and water-temperature data at eight sites on the lower Columbia River in 2005. Significant findings from the data include:
\nNo abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051406","usgsCitation":"Reynolds, R.L., and Rosenbaum, J.G., 2005, Magnetic mineralogy of sediments in Bear Lake and its watershed, Utah, Idaho, and Wyoming: Support for paleoenvironmental and paleomagnetic interpretations (Version 1.0): U.S. Geological Survey Open-File Report 2005-1406, 17 p., https://doi.org/10.3133/ofr20051406.","productDescription":"17 p.","numberOfPages":"17","costCenters":[],"links":[{"id":193097,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":414922,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74697.htm","linkFileType":{"id":5,"text":"html"}},{"id":7302,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1406/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Utah, Wyoming","otherGeospatial":"Bear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.5833,\n 42.5833\n ],\n [\n -111.5833,\n 40.7333\n ],\n [\n -110.5,\n 40.7333\n ],\n [\n -110.5,\n 42.5833\n ],\n [\n -111.5833,\n 42.5833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649310","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":286310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbaum, Joseph G. jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":286311,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}