Connectivity of river networks and the movements among habitats can be critical for the life history of many fish species, and understanding of the patterns of movement is central to managing populations, communities, and the landscapes they use. We combined passive integrated transponder tagging over 4 years and strontium isotopes in otoliths to demonstrate that 25% of the mountain whitefish (Prosopium williamsoni) sampled moved between the Methow and Columbia rivers, Washington, USA. Seasonal migrations downstream from the Methow River to the Columbia River to overwinter occurred in autumn and upstream movements in the spring. We observed migration was common during the first year of life, with migrants being larger than nonmigrants. However, growth between migrants and nonmigrants was similar. Water temperature was positively related to the proportion of migrants and negatively related to the timing of migration, but neither was related to discharge. The broad spatio-temporal movements we observed suggest mountain whitefish, and likely other nonanadromous fish, require distant habitats and also suggests that management and conservation strategies to keep connectivity of large river networks are imperative.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0279","usgsCitation":"Benjamin, J.R., Wetzel, L.A., Martens, K.D., Larsen, K., and Connolly, P., 2013, Spatio-temporal variability in movement, age, and growth of mountain whitefish (Prosopium williamsoni) in a river network based upon PIT tagging and otolith chemistry: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, p. 1-10, https://doi.org/10.1139/cjfas-2013-0279.","productDescription":"10 p.","startPage":"1","endPage":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045503","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":280269,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Chewuch River, Columbia River, Methow River, Twisp River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.75897216796876,\n 47.956823800497475\n ],\n [\n -120.75897216796876,\n 48.996438064932285\n ],\n [\n -119.48455810546875,\n 48.996438064932285\n ],\n [\n -119.48455810546875,\n 47.956823800497475\n ],\n [\n -120.75897216796876,\n 47.956823800497475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd739ae4b0b290851090bb","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":487232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Lisa A. 0000-0003-3178-9940 lwetzel@usgs.gov","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":3016,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","email":"lwetzel@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Kimberly","contributorId":95569,"corporation":false,"usgs":true,"family":"Larsen","given":"Kimberly","affiliations":[],"preferred":false,"id":487234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487230,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70056154,"text":"ofr20121007 - 2013 - National assessment of shoreline change: historical shoreline change along the Pacific Northwest coast","interactions":[],"lastModifiedDate":"2013-12-06T11:40:13","indexId":"ofr20121007","displayToPublicDate":"2013-12-09T08:55:00","publicationYear":"2013","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":"2012-1007","title":"National assessment of shoreline change: historical shoreline change along the Pacific Northwest coast","docAbstract":"Beach erosion is a chronic problem along most open ocean shores of the United States. As coastal populations continue to increase and infrastructure is 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 (USGS) is conducting an analysis of historical shoreline changes along the open-ocean sandy shores of the conterminous United States and parts of Hawaii, Alaska, and the Great Lakes. One purpose of this work is to develop standard, repeatable methods for mapping and analyzing shoreline movement so that periodic, systematic, and internally consistent updates regarding coastal erosion and land loss can be made nationally. In the case of the analysis of shoreline change in the Pacific Northwest (PNW), the shoreline is the interpreted boundary between the ocean water surface and the sandy beach.
\nThis report on the PNW coasts of Oregon and Washington is the seventh in a series of regionally focused reports on historical shoreline change. Previous investigations include analyses and descriptive reports of the U.S. Gulf of Mexico (Morton and others, 2004), the southeastern Atlantic (Morton and Miller, 2005), the sandy shorelines (Hapke and others, 2006) and coastal cliffs (Hapke and Reid, 2007) of California, the New England and mid-Atlantic coasts (Hapke and others, 2011), and parts of the Hawaii coast (Fletcher and others, 2012). Like the earlier reports in this series, this report summarizes the methods of analysis, interprets the results of the analysis, provides explanations regarding long- and short-term trends and rates of shoreline change, and describes how different coastal communities are responding to coastal erosion. This report differs from the early USGS reports in the series in that those shoreline change analyses incorporated only four total shorelines to represent specific time periods. This assessment of the PNW incorporates all available shorelines that meet minimum quality standards for resolution and positional accuracy. Shoreline change evaluations are based on a comparison of historical shoreline positions digitized from maps or aerial photographic data sources with recent shorelines, at least one of which is derived from lidar surveys. The historical shorelines cover a variety of time periods ranging from the 1800s through the 1980s, whereas the lidar shoreline is from 2002. Long-term rates of change are calculated using all available shoreline data and short-term rates of change are calculated using the lidar shoreline and the historical shoreline that will produce an assessment for a 15- to 35-year period. The rates of change presented in this report represent conditions up to the date of only the most recent shoreline data and therefore are not intended for predicting future shoreline positions or rates of change.
\nThe PNW coast was subdivided into eight analysis regions for the purpose of graphically reporting regional trends in shoreline change rates. The average rate of long-term shoreline change for the entire PNW coast was 0.9 meter per year (m/yr) of progradation with an uncertainty of 0.07 m/yr. This rate is based on 8,823 individual transects, of which 36 percent was determined to be eroding. Long-term shoreline change was generally more progradational in Washington than in Oregon. This is primarily due to the influence of the Columbia River and human perturbations to the natural system, particularly the construction of jetties at both the mouth of the Columbia River and at Grays Harbor, Washington. The majority of the beaches in southwestern Washington have responded to these large-scale engineered structures by experiencing dramatic beach progradation during the past century. Although these beaches are still responding to the human effects, in several locations beaches that had been rapidly prograding are now either prograding at a slower rate or eroding.
\nThe average rate of short-term shoreline change in the PNW was also progradational at a rate of 0.9 m/yr with an uncertainty of 0.03 m/yr. This rate is based on 9,087 individual transects, of which 44 percent was determined to be eroding. Similar to the results of the long-term shoreline change analysis, the shorelines in Washington were typically more progradational than those in Oregon in the short term. However, many stretches of coast in Oregon are either less accretional, changed from accretional to erosional, or more erosional when comparing the long- and short-term rate calculations. In the long and short term, there are significantly different historical shoreline change trends for beaches deriving their modern sediments from the Columbia River in southwestern Washington and northwestern Oregon, and beaches elsewhere in the PNW. The majority of shorelines in Oregon and in Washington’s Olympic Peninsula are not influenced by the human effects to the Columbia River littoral cell and typically have not experienced the human-induced century-scale trends apparent in southwestern Washington and northwestern Oregon.
\nAn increase in erosion hazards in much of Oregon may be related to the effects of sea-level rise and increasing storm wave heights. Of importance, particularly in the short term, is the alongshore variability in land uplift rates due to tectonics, which results in an alongshore varying rate of relative sea level rise that appears to at least partially control the regional variability in short-term shoreline change rates. Other climate related processes, such as the occurrence of major El Niño events, also significantly affect the shoreline changes in the region. Major El Niño events elevate monthly mean sea levels by tens of centimeters throughout the winter and produce a shift in the storm tracks, resulting in alongshore redistributions in sand volumes on the beaches, leading to hotspot beach erosion and property losses north of headlands and tidal inlets to bays and estuaries. There are limited modern-day sources of sand to Oregon’s beaches, with much of the sand being relict in having arrived thousands of years ago at a time of lowered sea levels when headlands did not prevent the alongshore movement of the beach sediments, the result being that many beaches today are deficient in sand volumes and therefore do not provide sufficient buffer protection to backshore properties during winter storms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121007","usgsCitation":"Ruggerio, P., Kratzmann, M., Himmelstoss, E., Reid, D., Allan, J., and Kaminsky, G., 2013, National assessment of shoreline change: historical shoreline change along the Pacific Northwest coast: U.S. Geological Survey Open-File Report 2012-1007, xi, 61 p., https://doi.org/10.3133/ofr20121007.","productDescription":"xi, 61 p.","numberOfPages":"76","ipdsId":"IP-034232","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":280213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121007.jpg"},{"id":280211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1007/"},{"id":280212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1007/pdf/ofr2012-1007.pdf"}],"scale":"70000","datum":"North American Datum of 1983","country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River;Olympic Peninsula;Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.97,41.87 ], [ -125.97,48.65 ], [ -121.2,48.65 ], [ -121.2,41.87 ], [ -125.97,41.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a717f3e4b0de1a6d2d96f7","contributors":{"authors":[{"text":"Ruggerio, Peter","contributorId":67403,"corporation":false,"usgs":true,"family":"Ruggerio","given":"Peter","email":"","affiliations":[],"preferred":false,"id":486358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kratzmann, Meredith G.","contributorId":11565,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith G.","affiliations":[],"preferred":false,"id":486353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Himmelstoss, Emily A.","contributorId":24736,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily A.","affiliations":[],"preferred":false,"id":486354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, David","contributorId":63888,"corporation":false,"usgs":true,"family":"Reid","given":"David","email":"","affiliations":[],"preferred":false,"id":486357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, Jonathan","contributorId":46847,"corporation":false,"usgs":false,"family":"Allan","given":"Jonathan","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":486355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaminsky, George","contributorId":60262,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","affiliations":[],"preferred":false,"id":486356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70058444,"text":"ofr20131286 - 2013 - Satellite images of the September 2013 flood event in Lyons, Colorado","interactions":[],"lastModifiedDate":"2013-12-06T16:31:44","indexId":"ofr20131286","displayToPublicDate":"2013-12-06T15:46:00","publicationYear":"2013","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":"2013-1286","title":"Satellite images of the September 2013 flood event in Lyons, Colorado","docAbstract":"The U.S. Geological Survey (USGS) Special Applications Science Center (SASC) produced an image base map showing high-resolution remotely sensed data over Lyons, Colorado—a city that was severely affected by the flood event that occurred throughout much of the Colorado Front Range in September of 2013. The 0.5-meter WorldView-2 data products were created from imagery collected by DigitalGlobe on September 13 and September 24, 2013, during and following the flood event.\n\nThe images shown on this map were created to support flood response efforts, specifically for use in determining damage assessment and mitigation decisions. The raw, unprocessed imagery were orthorectified and pan-sharpened to enhance mapping accuracy and spatial resolution, and reproduced onto a cartographic base map. These maps are intended to provide a snapshot representation of post-flood ground conditions, which may be useful to decisionmakers and the general public.\n\nThe SASC also provided data processing and analysis support for other Colorado flood-affected areas by creating cartographic products, geo-corrected electro-optical and radar image mosaics, and GIS water cover files for use by the Colorado National Guard, the National Park Service, the U.S. Forest Service, and the flood response community. All products for this International Charter event were uploaded to the USGS Hazards Data Distribution System (HDDS) website (http://hdds.usgs.gov/hdds2/) for distribution.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131286","issn":"2331-1258","usgsCitation":"Cole, C.J., Friesen, B.A., Wilds, S., Noble, S., Warner, H., and Wilson, E.M., 2013, Satellite images of the September 2013 flood event in Lyons, Colorado: U.S. Geological Survey Open-File Report 2013-1286, Report: 40.01 x 20.00 inches, https://doi.org/10.3133/ofr20131286.","productDescription":"Report: 40.01 x 20.00 inches","onlineOnly":"Y","ipdsId":"IP-051862","costCenters":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"links":[{"id":280222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131286.jpg"},{"id":280220,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1286/"},{"id":280221,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1286/pdf/of2013-1286.pdf"}],"scale":"1000000","projection":"UTM Projection","country":"United States","state":"Colorado","city":"Lyons","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.283333,40.208333 ], [ -105.283333,40.233333 ], [ -105.25,40.233333 ], [ -105.25,40.208333 ], [ -105.283333,40.208333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6406fe4b0a6d69588265c","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":487054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesen, Beverly A. bafriesen@usgs.gov","contributorId":3216,"corporation":false,"usgs":true,"family":"Friesen","given":"Beverly","email":"bafriesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":487056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilds, Stanley","contributorId":99877,"corporation":false,"usgs":true,"family":"Wilds","given":"Stanley","affiliations":[],"preferred":false,"id":487059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Suzanne","contributorId":83438,"corporation":false,"usgs":true,"family":"Noble","given":"Suzanne","affiliations":[],"preferred":false,"id":487058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, Harumi hwarner@usgs.gov","contributorId":2881,"corporation":false,"usgs":true,"family":"Warner","given":"Harumi","email":"hwarner@usgs.gov","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":487055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Earl M. emwilson@usgs.gov","contributorId":4124,"corporation":false,"usgs":true,"family":"Wilson","given":"Earl","email":"emwilson@usgs.gov","middleInitial":"M.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":487057,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70049013,"text":"pp1798F - 2013 - Sediment transport and deposition in the lower Missouri River during the 2011 flood","interactions":[{"subject":{"id":70049013,"text":"pp1798F - 2013 - Sediment transport and deposition in the lower Missouri River during the 2011 flood","indexId":"pp1798F","publicationYear":"2013","noYear":false,"chapter":"F","title":"Sediment transport and deposition in the lower Missouri River during the 2011 flood"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:22:32.765683","indexId":"pp1798F","displayToPublicDate":"2013-12-06T14:21:49","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"F","title":"Sediment transport and deposition in the lower Missouri River during the 2011 flood","docAbstract":"Floodwater in the Missouri River in 2011 originated in upper-basin regions and tributaries, and then travelled through a series of large flood-control reservoirs, setting records for total runoff volume entering all six Missouri River main-stem reservoirs. The flooding lasted as long as 3 months. The U.S Geological Survey (USGS) examined sediment transport and deposition in the lower Missouri River in 2011 to investigate how the geography of floodwater sources, in particular the decanting effects of the Missouri River main-stem reservoir system, coupled with the longitudinal characteristics of civil infrastructure and valley-bottom topography, affected sediment transport and deposition in this large, regulated river system. During the flood conditions in 2011, the USGS, in cooperation with the U.S. Army Corps of Engineers, monitored suspended-sediment transport at six primary streamgages along the length of the lower Missouri River. Measured suspended-sediment concentration (SSC) in the lower Missouri River varied from approximately 150 milligrams per liter (mg/L) to 2,000 mg/L from January 1 to September 30, 2011. Median SSC increased in the downstream direction from 355 mg/L at Sioux City, Iowa, to 490 mg/L at Hermann, Missouri. The highest SSCs were measured downstream from Omaha, Nebraska, in late February when snowmelt runoff from tributaries, which were draining zones of high-sediment production, was entering the lower Missouri River, and releases of water at Gavins Point Dam were small. The combination of dilute releases of water at Gavins Point Dam and low streamflows in lower Missouri River tributaries caused sustained lowering of SSC at all streamgages from early July through late August. Suspended-sediment ranged from 5 percent washload (PW; percent silt and clay) to as much as 98 percent in the lower Missouri River from January 1 to September 30, 2011. Median PW increased in the downstream direction from 24 percent at Sioux City, Iowa, to 78 percent at Hermann, Missouri. Measurements made in early January, when SSC was low, indicate that suspended sediment mostly was composed of bed material, but by mid-February, runoff from the plains caused PW to increase at most streamgages. Total suspended-sediment discharge (SSD) during water year 2011 at the selected streamgages in the lower Missouri River ranged from approximately 29 to 64 million tons. Total estimated SSD had the lowest exceedance frequencies in the reaches between Gavins Point Dam and Nebraska City, Nebraska, but exceedance frequencies increased substantially downstream. In 2011, total SSD with low exceedance frequencies were reported at Sioux City, Iowa, Omaha, Nebraska, and Nebraska City, Nebraska, despite moderate-to-high exceedance frequencies for annual average SSC, indicating that the duration of high-magnitude flooding was the primary driver of total SSD. Comparison of median SSC for samples from water year 2011 with samples in the 20 years prior indicated that median SSC for high-action streamflows (streamflows likely to produce a stage exceeding the National Weather Service’s “action stage”) in 2011 were lower than those typical for high-action streamflows. Multiple-comparison analysis indicated that median SSC values for low-action streamflows (streamflows likely to produce stages lower than the National Weather Service’s “action stage”) and high-action streamflows sampled in 2011 at 4 of 6 streamgages were not significantly distinguishable from median SSC values for low-action streamflows in the previous 20 years. Longitudinal comparison of streamflow and SSD exceedance frequencies for 2011 with corresponding frequencies for 2008 and 1993 indicated the important role of tributary contributions to total SSD in the lower Missouri River. In 1993 and 2008, tributaries were the primary source of floodwater in the lower Missouri River, which resulted in a 20-fold increase in total SSD from Sioux City, Iowa, to Hermann, Missouri. In 2011, releases at Gavins Point Dam were the primary source of floodwater in the lower Missouri River, and total SSD at Hermann, Missouri, was only twice that estimated for Sioux City, Iowa. Sand deposition was estimated using analysis of multispectral satellite imagery collected in October and November 2011. Distributions of sand in the flood plain of the lower Missouri River also were quantified in relation to distance from the banks of the main channel for seven discrete river segments bounded by Gavins Point Dam and selected downstream tributaries. The areal extent of overbank flooding and flood-plain sand deposits increased downstream from Sioux City, Iowa to a broad peak near Rulo, Nebraska, and then decreased to levels near the lower limit of quantification downstream from Kansas City, Missouri. Most of the flood plain inundation and sediment-deposition damage to agricultural fields was observed between river miles 480 and 700, where 2011 peak streamflows had low exceedance frequencies, and the lower Missouri River channel was less incised or had aggraded recently. As channel capacity increased in the downstream direction, the relative magnitude of the flood decreased downstream, and overbank flooding was less extensive. In the constricted reaches, flood-plain sand deposits mainly were observed in association with levee breaks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798F","collaboration":"In cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Alexander, J.S., Jacobson, R.B., and Rus, D.L., 2013, Sediment transport and deposition in the lower Missouri River during the 2011 flood: U.S. Geological Survey Professional Paper 1798, Report: v, 27 p.; Dataset, https://doi.org/10.3133/pp1798F.","productDescription":"Report: v, 27 p.; Dataset","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045437","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":280217,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798f/"},{"id":324790,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7BG2M2N","text":"Missouri River 2011 Regional Sand Floodplain"},{"id":280219,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798f.jpg"},{"id":280218,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798f/pdf/pp1798f.pdf","text":"Report","description":"PP 1798-F"}],"country":"United States","state":"Iowa, Kansas, Missouri, Montana, Nebraska, North Dakota, South Dakota","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.51074218749999,\n 48.96579381461063\n ],\n [\n -113.04931640625,\n 44.96479793033104\n ],\n [\n -108.544921875,\n 41.918628865183045\n ],\n [\n -106.69921875,\n 41.0130657870063\n ],\n [\n -105.732421875,\n 38.87392853923629\n ],\n [\n -94.63623046875,\n 37.75334401310656\n ],\n [\n -93.44970703125,\n 37.07271048132946\n ],\n [\n -90.966796875,\n 37.020098201368114\n ],\n [\n -89.89013671875,\n 38.70265930723801\n ],\n [\n -92.900390625,\n 40.6306300839918\n ],\n [\n -94.658203125,\n 43.51668853502909\n ],\n [\n -97.18505859374999,\n 45.98169518512228\n ],\n [\n -98.5693359375,\n 48.1367666796927\n ],\n [\n -99.77783203125,\n 49.009050809382046\n ],\n [\n -113.51074218749999,\n 48.96579381461063\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64071e4b0a6d695882675","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":2802,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058474,"text":"ofr20131246 - 2013 - Geomorphic and vegetation processes of the Willamette River floodplain, Oregon: current understanding and unanswered science questions","interactions":[],"lastModifiedDate":"2019-04-24T15:36:58","indexId":"ofr20131246","displayToPublicDate":"2013-12-06T09:29:00","publicationYear":"2013","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":"2013-1246","title":"Geomorphic and vegetation processes of the Willamette River floodplain, Oregon: current understanding and unanswered science questions","docAbstract":"This report summarizes the current understanding of floodplain processes and landforms for the Willamette River and its major tributaries. The area of focus encompasses the main stem Willamette River above Newberg and the portions of the Coast Fork Willamette, Middle Fork Willamette, McKenzie, and North, South and main stem Santiam Rivers downstream of U.S. Army Corps of Engineers dams. These reaches constitute a large portion of the alluvial, salmon-bearing rivers in the Willamette Basin.
\nThe geomorphic, or historical, floodplain of these rivers has two zones - the active channel where coarse sediment is mobilized and transported during annual flooding and overbank areas where fine sediment is deposited during higher magnitude floods. Historically, characteristics of the rivers and geomorphic floodplain (including longitudinal patterns in channel complexity and the abundance of side channels, islands and gravel bars) were controlled by the interactions between floods and the transport of coarse sediment and large wood. Local channel responses to these interactions were then shaped by geologic features like bedrock outcrops and variations in channel slope.
\nOver the last 150 years, floods and the transport of coarse sediment and large wood have been substantially reduced in the basin. With dam regulation, nearly all peak flows are now confined to the main channels. Large floods (greater than 10-year recurrence interval prior to basinwide flow regulation) have been largely eliminated. Also, the magnitude and frequency of small floods (events that formerly recurred every 2–10 years) have decreased substantially. The large dams trap an estimated 50–60 percent of bed-material sediment—the building block of active channel habitats—that historically entered the Willamette River. They also trap more than 80 percent of the estimated bed material in the lower South Santiam River and Middle and Coast Forks of the Willamette River. Downstream, revetments further decrease bed-material supply by an unknown amount because they limit bank erosion and entrainment of stored sediment.
\nThe rivers, geomorphic floodplain, and vegetation within the study area have changed noticeably in response to the alterations in floods and coarse sediment and wood transport. Widespread decreases have occurred in the rates of meander migration and avulsions and the number and diversity of landforms such as gravel bars, islands, and side channels. Dynamic and, in some cases, multi-thread river segments have become stable, single-thread channels. Preliminary observations suggest that forest area has increased within the active channel, further reducing the area of unvegetated gravel bars.
\nAlterations to floods and sediment transport and ongoing channel, floodplain, and vegetation responses result in a modern Willamette River Basin. Here, the floodplain influenced by the modern flow and sediment regimes, or the functional floodplain, is narrower and inset with the broader and older geomorphic floodplain. The functional floodplain is flanked by higher elevation relict floodplain features that are no longer inundated by modern floods. The corridor of present- day active channel surfaces is narrower, enabling riparian vegetation to establish on formerly active gravel bar surfaces.
\nThe modern Willamette River Basin with its fundamental changes in the flood, sediment transport, and large wood regimes has implications for future habitat conditions. System-wide future trends probably include narrower floodplains and a lower diversity of landforms and habitats along the Willamette River and its major tributaries compared to historical patterns and today.
\nFurthermore, specific conditions and future trends will probably vary between geologically stable, anthropogenically stable, and dynamic reaches. The middle and lower segments of the Willamette River are geologically stable, whereas the South Santiam and Middle Fork Willamette Rivers were historically dynamic, but are now largely stable in response to flow regulation and revetment construction. The upper Willamette and North Santiam Rivers retain some dynamic characteristics, and provide the greatest diversity of aquatic and riparian habitats under the current flow and sediment regime. The McKenzie River has some areas that are more dynamic, whereas other sections are stable due to geology or revetments.
\nHistorical reductions in channel dynamism also have implications for ongoing and future recruitment and succession of floodplain forests. For instance, the succession of native plants like black cottonwood is currently limited by (1) fewer low-elevation gravel bars for stand initiation; (2) altered streamflow during seed release, germination, and stand initiation; (3) competition from introduced plant species; and (4) frequent erosion of young vegetation in some locations because scouring flows are concentrated within a narrow channel corridor.
\nDespite past alterations, the Willamette River Basin has many of the physical and ecological building blocks necessary for highly functioning rivers. Management strategies, including environmental flow programs, river and floodplain restoration, revetment modifications, and reclamation of gravel mines, are underway to mitigate some historical changes. However, there are some substantial gaps in the scientific understanding of the modern Willamette basin that is needed to efficiently integrate these blocks and to establish realistic objectives for future conditions. Unanswered questions include:
\n\n1. What is the distribution and diversity of landforms and habitats along the Willamette River and its tributaries?
\n2. What is the extent of today’s functional floodplain—the part of the river corridor actively formed and modified by fluvial processes?
\n3. How are landforms and habitats in the Willamette River Basin created and sustained by present-day flow and sediment conditions?
\n4. How is the succession of native floodplain vegetation shaped by present-day flow and sediment conditions?
Answering these questions will produce baseline data on the current distributions of landforms and habitats (question 1), the extent of the functional floodplain (question 2), and the effects of modern flow and sediment regimes on future floodplain landforms, habitats, and vegetation succession (questions 3 and 4). Addressing questions 1 and 2 is a logical next step because they underlie questions 3 and 4. Addressing these four questions would better characterize the modern Willamette Basin and help in implementing and setting realistic targets for ongoing management strategies, demonstrating their effectiveness at the site and basin scales, and anticipating future trends and conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131246","collaboration":"Prepared in cooperation with the Benton County Soil and Water Conservation District","usgsCitation":"Wallick, J., Jones, K.L., O'Connor, J., Keith, M., Hulse, D., and Gregory, S.V., 2013, Geomorphic and vegetation processes of the Willamette River floodplain, Oregon: current understanding and unanswered science questions: U.S. Geological Survey Open-File Report 2013-1246, vi, 70 p., https://doi.org/10.3133/ofr20131246.","productDescription":"vi, 70 p.","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-049307","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":280210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131246.jpg"},{"id":280208,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1246/"},{"id":280209,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1246/pdf/ofr2013-1246.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Oregon","city":"Newberg","otherGeospatial":"Mckenzie River;Santiam River;Willamette Basin;Willamette River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4202,42.9986 ], [ -124.4202,46.077 ], [ -120.9155,46.077 ], [ -120.9155,42.9986 ], [ -124.4202,42.9986 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64033e4b0a6d6958823f1","contributors":{"authors":[{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K.","contributorId":16560,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","affiliations":[],"preferred":false,"id":487108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hulse, David","contributorId":72290,"corporation":false,"usgs":true,"family":"Hulse","given":"David","email":"","affiliations":[],"preferred":false,"id":487111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gregory, Stanley V.","contributorId":60528,"corporation":false,"usgs":true,"family":"Gregory","given":"Stanley","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":487110,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70055759,"text":"sir20135200 - 2013 - Detections, concentrations, and distributional patterns of compounds of emerging concern in the San Antonio River Basin, Texas, 2011-12","interactions":[],"lastModifiedDate":"2016-08-05T13:20:51","indexId":"sir20135200","displayToPublicDate":"2013-12-06T09:03:00","publicationYear":"2013","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":"2013-5200","title":"Detections, concentrations, and distributional patterns of compounds of emerging concern in the San Antonio River Basin, Texas, 2011-12","docAbstract":"During 2011–12, the U.S. Geological Survey, in cooperation with the San Antonio River Authority, evaluated detections, concentrations, and distributional patterns of selected compounds of emerging concern (hereinafter referred to as “CECs”) from water-quality samples (hereinafter referred to as “samples”) collected at a total of 20 sampling sites distributed throughout the San Antonio River Basin, Texas. Of the 54 wastewater compounds analyzed, 32 were detected in at least one sample collected from the San Antonio River Basin, and 22 of those compounds were not detected in any samples. The flame retardants tris (2-chloroethyl) phosphate and tris (dichloroisopropyl) phosphate, both possible endocrine disruptors, were the most frequently detected wastewater compounds with 28 of the 33 samples analyzed for wastewater compounds having measureable concentrations of those compounds. Of the 13 analyzed pharmaceuticals, 4 compounds were detected in a least one sample. Carbamazepine, an anticonvulsant, was the most frequently detected prescription pharmaceutical with 24 detections in 34 samples analyzed for pharmaceuticals. Of the 17 steroidal hormones, 4 were detected in at least one sample from the San Antonio River Basin. Estrone was detected in 9 of 34 samples analyzed for steroidal hormones, making it the most frequently detected steroidal hormone. Of the 4 sterols, all 4 were detected in at least one sample from the San Antonio River Basin. Cholesterol, detected in 19 of 34 samples analyzed for sterols, was the most frequently detected sterol.
\nThree synoptic sampling events were completed as part of this study. The first and second synoptic sampling events included samples collected at the same 12 sampling sites. During the first and second synoptic sampling events, the lowest number of detections (2 and 0, respectively) and the lowest total concentrations of all measured compounds (0.62 and not measureable, respectively) occurred in samples collected at the Macdona site (Medina River near Macdona, Tex.). The highest number of detections (21 and 23, respectively) and highest total concentrations of all measured compounds (7.75 and 3.97 micrograms per liter [µg/L], respectively) occurred in samples collected at the SAR Elmendorf site (San Antonio River near Elmendorf, Tex.). The third synoptic sampling event included samples collected at seven sites that were added to the study after the first two synoptic sampling events were completed. During the third synoptic sampling event, the lowest number of detections (two) and the lowest total concentration (0.14 µg/L) of compounds were measured in samples collected at the North Prong site (North Prong Medina River above confluence Wallace Creek near Medina, Tex.). The highest number of detections (21) occurred at the SAR Mitchell site (San Antonio River at Mitchell Street, San Antonio, Tex.). The Dos Rios site (the Dos Rios wastewater treatment plant outfall at San Antonio, Tex.) had the highest total concentration of all measured compounds (4.37 µg/L) in the third synoptic sampling event. Because Ecleto Creek flows only intermittently at the Ecleto site (Ecleto Creek near Runge, Tex.), samples from the Ecleto site were collected at different times than were samples from the other sites and were not included in a synoptic sampling event. The presence of wastewater compounds at the Ecleto site indicates that at least some wastewater compounds can be introduced into surface waters in rural parts of the San Antonio River Basin during runoff or because of onsite wastewater system seepage. The steroidal hormone and sterols detected at the Ecleto site, including estrone, cholesterol, beta-sitosterol, and beta-stigmastanol, likely were derived from cattle waste rather than from wastewater effluent.
\nThe distributional patterns of detections and concentrations of individual compounds and compound classes show the influence of wastewater-treatment plant (WWTP) outfalls on the quality of water in the San Antonio River Basin. In the Medina River Subbasin, the minimal influence of wastewater is evident as far downstream as the Macdona site. Downstream from the Macdona site, the Medina River receives treated municipal wastewater from both the Medio Creek Water Recycling Center site from an unnamed tributary at the plant and the Leon Creek Water Recycling Center site from Comanche Creek at the plant, and corresponding increases in both the number of detections and the total concentrations of all measured compounds at all downstream sampling sites were evident. Similarly, the San Antonio River receives treated municipal wastewater as far upstream as the SAR Witte site (San Antonio River at Witte Museum, San Antonio, Tex.) and additional WWTP outfalls along the Medina River upstream from the confluence of the Medina and San Antonio Rivers. Consequently, all samples collected along the main stem of the San Antonio River had higher concentrations of CECs in comparison to sites without upstream WWTPs. Sites in urbanized areas without upstream WWTPs include the Leon 35 site (Leon Creek at Interstate Highway 35, San Antonio, Tex.), the Alazan site (Alazan Creek at Tampico Street, San Antonio, Tex.), and the San Pedro site (San Pedro Creek at Probandt Street, at San Antonio, Tex.). The large number of detections at sites with no upstream wastewater source demonstrated that CECs can be detected in streams flowing through urbanized areas without a large upstream source of treated municipal wastewater. A general lack of detection of pharmaceuticals in streams without upstream outfalls of treated wastewater appears to be typical for streams throughout the San Antonio River Basin and may be a useful indicator of point-source versus nonpoint-source contributions of these compounds in urban streams. Observations of lower concentrations of compounds at the furthest downstream sampling sites in the basin indicate some natural attenuation of these compounds during transport; however, a more focused assessment is needed to make this determination.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135200","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Opsahl, S.P., and Lambert, R.B., 2013, Detections, concentrations, and distributional patterns of compounds of emerging concern in the San Antonio River Basin, Texas, 2011-12: U.S. Geological Survey Scientific Investigations Report 2013-5200, Report: v, 44 p.; Appendixes 1-5, https://doi.org/10.3133/sir20135200.","productDescription":"Report: v, 44 p.; Appendixes 1-5","numberOfPages":"53","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-050844","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":280207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135200.jpg"},{"id":280205,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5200/pdf/sir2013-5200.pdf"},{"id":280198,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5200/"},{"id":280206,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5200/downloads/sir2013-5200_appendix.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","city":"Elmendorf, Macdona, Medina, Runge, San Antonio","otherGeospatial":"Comanche Creek, Ecleto Creek, Leon Creek, Medina River, Medina River Subbasin, North Prong Medina River, San Antonio River, San Antonio River Basin, San Pedro Creek, Wallace Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.9646,28.0211 ], [ -99.9646,30.125 ], [ -96.3858,30.125 ], [ -96.3858,28.0211 ], [ -99.9646,28.0211 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6400de4b0a6d6958822d7","contributors":{"authors":[{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048990,"text":"sir20135182 - 2013 - Estimation of traveltime and longitudinal dispersion in streams in West Virginia","interactions":[],"lastModifiedDate":"2013-12-06T08:59:14","indexId":"sir20135182","displayToPublicDate":"2013-12-06T08:46:00","publicationYear":"2013","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":"2013-5182","title":"Estimation of traveltime and longitudinal dispersion in streams in West Virginia","docAbstract":"Traveltime and dispersion data are important for understanding and responding to spills of contaminants in waterways. The U.S. Geological Survey (USGS), in cooperation with West Virginia Bureau for Public Health, Office of Environmental Health Services, compiled and evaluated traveltime and longitudinal dispersion data representative of many West Virginia waterways. Traveltime and dispersion data were not available for streams in the northwestern part of the State. Compiled data were compared with estimates determined from national equations previously published by the USGS. The evaluation summarized procedures and examples for estimating traveltime and dispersion on streams in West Virginia.
\nNational equations developed by the USGS can be used to predict traveltime and dispersion for streams located in West Virginia, but the predictions will be less accurate than those made with graphical interpolation between measurements. National equations for peak concentration, velocity of the peak concentration, and traveltime of the leading edge had root mean square errors (RMSE) of 0.426 log units (127 percent), 0.505 feet per second (ft/s), and 3.78 hours (h). West Virginia data fit the national equations for peak concentration, velocity of the peak concentration, and traveltime of the leading edge with RMSE of 0.139 log units (38 percent), 0.630 ft/s, and 3.38 h, respectively. The national equation for maximum possible velocity of the peak concentration exceeded 99 percent and 100 percent of observed values from the national data set and West Virginia-only data set, respectively. No RMSE was reported for time of passage of a dye cloud, as estimated using the national equation; however, the estimates made using the national equations had a root mean square error of 3.82 h when compared to data gathered for this study.
\nTraveltime and dispersion estimates can be made from the plots of traveltime as a function of streamflow and location for streams with plots available, but estimates can be made using the national equations for streams without plots. The estimating procedures are not valid for regulated stream reaches that were not individually studied or streamflows outside the limits studied.
\nRapidly changing streamflow and inadequate mixing across the stream channel affect traveltime and dispersion, and reduce the accuracy of estimates. Increases in streamflow typically result in decreases in the peak concentration and traveltime of the peak concentration. Decreases in streamflow typically result in increases in the peak concentration and traveltime of the peak concentration. Traveltimes will likely be less than those determined using the estimating equations and procedures if the spill is in the center of the stream, and traveltimes will likely be greater than those determined using the estimating equations and procedures if the spill is near the streambank.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135182","collaboration":"Prepared in cooperation with the West Virginia Bureau for Public Health, Office of Environmental Health Services","usgsCitation":"Wiley, J.B., and Messinger, T., 2013, Estimation of traveltime and longitudinal dispersion in streams in West Virginia: U.S. Geological Survey Scientific Investigations Report 2013-5182, vi, 62 p., https://doi.org/10.3133/sir20135182.","productDescription":"vi, 62 p.","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-043346","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":280203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135182.jpg"},{"id":280201,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5182/"},{"id":280202,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5182/pdf/sir2013-5182.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.2929,37.035 ], [ -83.2929,40.9216 ], [ -77.3015,40.9216 ], [ -77.3015,37.035 ], [ -83.2929,37.035 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64027e4b0a6d695882373","contributors":{"authors":[{"text":"Wiley, Jeffrey B.","contributorId":59746,"corporation":false,"usgs":true,"family":"Wiley","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70055692,"text":"tm6A48 - 2013 - GWM-VI: groundwater management with parallel processing for multiple MODFLOW versions","interactions":[],"lastModifiedDate":"2013-12-09T09:24:19","indexId":"tm6A48","displayToPublicDate":"2013-12-06T08:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A48","title":"GWM-VI: groundwater management with parallel processing for multiple MODFLOW versions","docAbstract":"Groundwater Management–Version Independent (GWM–VI) is a new version of the Groundwater Management Process of MODFLOW. The Groundwater Management Process couples groundwater-flow simulation with a capability to optimize stresses on the simulated aquifer based on an objective function and constraints imposed on stresses and aquifer state. GWM–VI extends prior versions of Groundwater Management in two significant ways—(1) it can be used with any version of MODFLOW that meets certain requirements on input and output, and (2) it is structured to allow parallel processing of the repeated runs of the MODFLOW model that are required to solve the optimization problem. GWM–VI uses the same input structure for files that describe the management problem as that used by prior versions of Groundwater Management. GWM–VI requires only minor changes to the input files used by the MODFLOW model. GWM–VI uses the Joint Universal Parameter IdenTification and Evaluation of Reliability Application Programming Interface (JUPITER-API) to implement both version independence and parallel processing. GWM–VI communicates with the MODFLOW model by manipulating certain input files and interpreting results from the MODFLOW listing file and binary output files. Nearly all capabilities of prior versions of Groundwater Management are available in GWM–VI. GWM–VI has been tested with MODFLOW-2005, MODFLOW-NWT (a Newton formulation for MODFLOW-2005), MF2005-FMP2 (the Farm Process for MODFLOW-2005), SEAWAT, and CFP (Conduit Flow Process for MODFLOW-2005). This report provides sample problems that demonstrate a range of applications of GWM–VI and the directory structure and input information required to use the parallel-processing capability.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 Modeling Techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A48","collaboration":"Groundwater Resources Program; This report is Chapter 48 of Section A: Ground water in Book 6 Modeling Techniques","usgsCitation":"Banta, E., and Ahlfeld, D.P., 2013, GWM-VI: groundwater management with parallel processing for multiple MODFLOW versions: U.S. Geological Survey Techniques and Methods 6-A48, v, 33 p., https://doi.org/10.3133/tm6A48.","productDescription":"v, 33 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-038984","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":280200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a48.jpg"},{"id":280197,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a48/"},{"id":280199,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a48/pdf/tm6-a48.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6402ee4b0a6d6958823c2","contributors":{"authors":[{"text":"Banta, Edward R.","contributorId":49820,"corporation":false,"usgs":true,"family":"Banta","given":"Edward R.","affiliations":[],"preferred":false,"id":486212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlfeld, David P.","contributorId":49464,"corporation":false,"usgs":true,"family":"Ahlfeld","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":486211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70055882,"text":"sir20135212 - 2013 - Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012","interactions":[],"lastModifiedDate":"2013-12-05T09:17:52","indexId":"sir20135212","displayToPublicDate":"2013-12-05T09:02:11","publicationYear":"2013","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":"2013-5212","title":"Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Bureau of Land Management (BLM), collected streamflow data in 2012 and estimated streamflow statistics for stream segments designated \"Wild,\" \"Scenic,\" or \"Recreational\" under the National Wild and Scenic Rivers System in the Owyhee Canyonlands Wilderness in southwestern Idaho. The streamflow statistics were used by BLM to develop and file a draft, federal reserved water right claim in autumn 2012 to protect federally designated \"outstanding remarkable values\" in the stream segments. BLM determined that the daily mean streamflow equaled or exceeded 20 and 80 percent of the time during bimonthly periods (two periods per month) and the bankfull streamflow are important streamflow thresholds for maintaining outstanding remarkable values. Prior to this study, streamflow statistics estimated using available datasets and tools for the Owyhee Canyonlands Wilderness were inaccurate for use in the water rights claim. Streamflow measurements were made at varying intervals during February–September 2012 at 14 monitoring sites; 2 of the monitoring sites were equipped with telemetered streamgaging equipment. Synthetic streamflow records were created for 11 of the 14 monitoring sites using a partial‑record method or a drainage-area-ratio method. Streamflow records were obtained directly from an operating, long-term streamgage at one monitoring site, and from discontinued streamgages at two monitoring sites. For 10 sites analyzed using the partial-record method, discrete measurements were related to daily mean streamflow at a nearby, telemetered “index” streamgage. Resulting regression equations were used to estimate daily mean and annual peak streamflow at the monitoring sites during the full period of record for the index sites. A synthetic streamflow record for Sheep Creek was developed using a drainage-area-ratio method, because measured streamflows did not relate well to any index site to allow use of the partial-record method. The synthetic and actual daily mean streamflow records were used to estimate daily mean streamflow that was exceeded 80, 50, and 20 percent of the time (80-, 50-, and 20-percent exceedances) for bimonthly and annual periods. Bankfull streamflow statistics were calculated by fitting the synthetic and actual annual peak streamflow records to a log Pearson Type III distribution using Bulletin 17B guidelines in the U.S. Geological Survey PeakFQ program. The coefficients of determination (R2) for the regressions between the monitoring and index sites ranged from 0.74 for Wickahoney Creek to 0.98 for the West Fork Bruneau River and Deep Creek. Confidence in computed streamflow statistics is highest among other sites for the East Fork Owyhee River and the West Fork Bruneau River on the basis of regression statistics, visual fit of the related data, and the range and number of streamflow measurements. Streamflow statistics for sites with the greatest uncertainty included Big Jacks, Little Jacks, Cottonwood, Wickahoney, and Sheep Creeks. The uncertainty in computed streamflow statistics was due to a number of factors which included the distance of index sites relative to monitoring sites, relatively low streamflow conditions that occurred during the study, and the limited number and range of streamflow measurements. However, the computed streamflow statistics are considered the best possible estimates given available datasets in the remote study area. Streamflow measurements over a wider range of hydrologic and climatic conditions would improve the relations between streamflow characteristics at monitoring and index sites. Additionally, field surveys are needed to verify if the streamflows selected for the water rights claims are sufficient for maintaining outstanding remarkable values in the Wild and Scenic rivers included in the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135212","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Wood, M.S., and Fosness, R.L., 2013, Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5212, vi, 65 p., https://doi.org/10.3133/sir20135212.","productDescription":"vi, 65 p.","numberOfPages":"76","ipdsId":"IP-042211","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135212.jpg"},{"id":280183,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5212/pdf/sir20135212.pdf"},{"id":280178,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5212/"}],"datum":"North American Datum of 1983","country":"United States","state":"Idaho;Nevada;Oregon","otherGeospatial":"Owyhee Canyonlands Wilderness","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5,41.5 ], [ -117.5,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,41.5 ], [ -117.5,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1a08ae4b02938ec058843","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":486278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049025,"text":"fs20133080 - 2013 - Origin and characteristics of discharge at San Marcos Springs, south-central Texas","interactions":[],"lastModifiedDate":"2026-06-11T20:28:54.252696","indexId":"fs20133080","displayToPublicDate":"2013-12-03T10:56:00","publicationYear":"2013","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":"2013-3080","title":"Origin and characteristics of discharge at San Marcos Springs, south-central Texas","docAbstract":"The Edwards aquifer in south-central Texas is one of the most productive aquifers in the Nation and is the primary source of water for the rapidly growing San Antonio area. Springs issuing from the Edwards aquifer provide habitat for several threatened and endangered species, serve as locations for recreational activities, and supply downstream users. Comal Springs and San Marcos Springs are major discharge points for the Edwards aquifer, and their discharges are used as thresholds in groundwater management strategies. Regional flow paths originating in the western part of the aquifer are generally understood to supply discharge at Comal Springs. In contrast, the hydrologic connection of San Marcos Springs with the regional Edwards aquifer flow system is less understood. During November 2008–December 2010, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected and analyzed hydrologic and geochemical data from springs, groundwater wells, and streams to gain a better understanding of the origin and characteristics of discharge at San Marcos Springs. During the study, climatic and hydrologic conditions transitioned from exceptional drought to wetter than normal. The wide range of hydrologic conditions that occurred during this study—and corresponding changes in surface-water, groundwater and spring discharge, and in physicochemical properties and geochemistry—provides insight into the origin of the water discharging from San Marcos Springs. Three orifices at San Marcos Springs (Deep, Diversion, and Weissmuller Springs) were selected to be representative of larger springs at the spring complex. Key findings include that discharge at San Marcos Springs was dominated by regional recharge sources and groundwater flow paths and that different orifices of San Marcos Springs respond differently to changes in hydrologic conditions; Deep Spring was less responsive to changes in hydrologic conditions than were Diversion Spring and Weissmuller Spring. Also, San Marcos Springs discharge is influenced by mixing with a component of saline groundwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133080","issn":"2327-6932","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Musgrove, M., and Crow, C.L., 2013, Origin and characteristics of discharge at San Marcos Springs, south-central Texas: U.S. Geological Survey Fact Sheet 2013-3080, 6 p., https://doi.org/10.3133/fs20133080.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048943","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":505507,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99361.htm","linkFileType":{"id":5,"text":"html"}},{"id":280142,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3080/"},{"id":280144,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3080/pdf/fs2013-3080.pdf"},{"id":280145,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133080.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"San Marcos Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.666667,29.666667 ], [ -98.666667,30.333333 ], [ -97.666667,30.333333 ], [ -97.666667,29.666667 ], [ -98.666667,29.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529efd71e4b01942f4ab8b8c","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":486042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048920,"text":"sir20135187 - 2013 - Annual exceedance probabilities of the peak discharges of 2011 at streamgages in Vermont and selected streamgages in New Hampshire, western Massachusetts, and northeastern New York","interactions":[],"lastModifiedDate":"2013-12-03T14:31:35","indexId":"sir20135187","displayToPublicDate":"2013-12-03T10:46:00","publicationYear":"2013","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":"2013-5187","title":"Annual exceedance probabilities of the peak discharges of 2011 at streamgages in Vermont and selected streamgages in New Hampshire, western Massachusetts, and northeastern New York","docAbstract":"The U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, determined annual exceedance probabilities for peak discharges occurring during the 2011 water year (October 1 to September 30) at streamgages in Vermont and selected streamgages in New Hampshire, western Massachusetts, and northeastern New York. This report presents the 2011 water year peak discharges at 145 streamgages in the study area and provides the results of the analyses of the 50-, 20-, 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probability discharges at 135 of the 145 streamgages. The annual exceedance probabilities for the 2011 water year peak discharges also are presented.
\nSnowmelt and near record rainfall led to flooding across northern Vermont on April 27 and 28, 2011. At three streamgages with more than 10 years of record, the April rain event resulted in the peak discharge of record. At seven streamgages, the peak discharge resulting from this event had an annual exceedance probability less than or equal to 1 percent. In early May 2011, new peak stage records were set at two Lake Champlain gages with more than 100 years of record. At the Lake Champlain at Burlington, Vermont, gage, the water surface reached 102.79 feet (ft) (North American Vertical Datum of 1988 (NAVD 88)) on May 6, 2011, and at the Richelieu River (Lake Champlain) at Rouses Point, New York, gage, the water surface reached 102.75 ft NAVD 88.
\nRecord-breaking rainfall in late May produced additional flooding across northern Vermont on May 26 and 27, 2011. Four streamgages in northwestern Vermont recorded peak-of-record discharges as a result of this flooding. At three streamgages, the peak discharges from this event had an annual exceedance probability less than or equal to 1 percent.
\nFrom August 28 to 29, 2011, Tropical Storm Irene delivered rainfall totals ranging from about 3 to more than 10 inches, which resulted in extensive flooding and new period-of-record peak discharges at 37 streamgages in the study area. The peak discharges as a result of Tropical Storm Irene had an annual exceedance probability of less than or equal to 1 percent at 36 streamgages. At 11 of these 36 streamgages, the annual exceedance probability of the peak discharges was less than or equal to 0.2 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135187","collaboration":"Prepared in cooperation with the U.S. Department of Homeland Security Federal Emergency Management Agency","usgsCitation":"Olson, S.A., and Bent, G.C., 2013, Annual exceedance probabilities of the peak discharges of 2011 at streamgages in Vermont and selected streamgages in New Hampshire, western Massachusetts, and northeastern New York: U.S. Geological Survey Scientific Investigations Report 2013-5187, Report: iv, 17 p.; Appendix: PDF, Excel file, https://doi.org/10.3133/sir20135187.","productDescription":"Report: iv, 17 p.; Appendix: PDF, Excel file","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-044075","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":280143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135187.jpg"},{"id":280164,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5187/appendix/sir2013-5187_appendixes01-03.xlsx"},{"id":280163,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5187/appendix/sir2013-5187_appendixes01-03.pdf"},{"id":280140,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5187/"},{"id":280141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5187/pdf/sir2013-5187.pdf"}],"scale":"1000000","country":"United States","state":"Massachusetts;New Hampshire;New York;Vermont","city":"Burlington;Rouses Point","otherGeospatial":"Lake Champlain;Richelieu River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.0973,41.845 ], [ -74.0973,45.3907 ], [ -70.3125,45.3907 ], [ -70.3125,41.845 ], [ -74.0973,41.845 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529efd60e4b01942f4ab8b7d","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048975,"text":"pp1795C - 2013 - Effect of ultramafic intrusions and associated mineralized rocks on the aqueous geochemistry of the Tangle Lakes Area, Alaska","interactions":[{"subject":{"id":70048975,"text":"pp1795C - 2013 - Effect of ultramafic intrusions and associated mineralized rocks on the aqueous geochemistry of the Tangle Lakes Area, Alaska","indexId":"pp1795C","publicationYear":"2013","noYear":false,"chapter":"C","title":"Effect of ultramafic intrusions and associated mineralized rocks on the aqueous geochemistry of the Tangle Lakes Area, Alaska"},"predicate":"IS_PART_OF","object":{"id":70040596,"text":"pp1795 - 2012 - Studies by the U.S. Geological Survey in Alaska, 2011","indexId":"pp1795","publicationYear":"2012","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2011"},"id":1}],"isPartOf":{"id":70040596,"text":"pp1795 - 2012 - Studies by the U.S. Geological Survey in Alaska, 2011","indexId":"pp1795","publicationYear":"2012","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2011"},"lastModifiedDate":"2022-12-12T23:27:21.283869","indexId":"pp1795C","displayToPublicDate":"2013-12-03T08:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1795","chapter":"C","title":"Effect of ultramafic intrusions and associated mineralized rocks on the aqueous geochemistry of the Tangle Lakes Area, Alaska","docAbstract":"Stream water was collected at 30 sites within the Tangle Lakes area of the Delta mineral belt in Alaska. Sampling focused on streams near the ultramafic rocks of the Fish Lake intrusive complex south of Eureka Creek and the Tangle Complex area east of Fourteen Mile Lake, as well as on those within the deformed metasedimentary, metavolcanic, and intrusive rocks of the Specimen Creek drainage and drainages east of Eureka Glacier. Major, minor, and trace elements were analyzed in aqueous samples for this reconnaissance aqueous geochemistry effort. The lithologic differences within the study area are reflected in the major-ion chemistry of the water. The dominant major cation in streams draining mafic and ultramafic rocks is Mg2+; abundant Mg and low Ca in these streams reflect the abundance of Mg-rich minerals in these intrusions. Nickel and Cu are detected in 84 percent and 87 percent of the filtered samples, respectively. Nickel and Cu concentrations ranged from Ni <0.4 to 10.1 micrograms per liter (mg/L), with a median of 4.2 mg/L, and Cu <0.5 to 27 mg/L, with a median of 1.2 mg/L. Trace-element concentrations in water are generally low relative to U.S. Environmental Protection Agency freshwater aquatic-life criteria; however, Cu concentrations exceed the hardness-based criteria for both chronic and acute exposure at some sites. The entire rare earth element (REE) suite is found in samples from the Specimen Creek sites MH5, MH4, and MH6 and, with the exception of Tb and Tm, at site MH14. These samples were all collected within drainages containing or downstream from Tertiary gabbro, diabase, and metagabbro (Trgb) exposures. Chondrite and source rock fractionation profiles for the aqueous samples were light rare earth element depleted, with negative Ce and Eu anomalies, indicating fractionation of the REE during weathering. Fractionation patterns indicate that the REE are primarily in the dissolved, as opposed to colloidal, phase.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2011 (Professional Paper 1795)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1795C","usgsCitation":"Wang, B., Gough, L.P., Wanty, R.B., Lee, G.K., Vohden, J., O’Neill, J., and Kerin, L., 2013, Effect of ultramafic intrusions and associated mineralized rocks on the aqueous geochemistry of the Tangle Lakes Area, Alaska: U.S. Geological Survey Professional Paper 1795, iv, 16 p., https://doi.org/10.3133/pp1795C.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-041720","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":280129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1795c.jpg"},{"id":280126,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1795/c/"},{"id":280127,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1795/c/pdf/pp1795c.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Eureka Creek, Eureka Glacier, Fish Lake, Fourteen Mile Lake, Specimen Creek, Tangle Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.5,63.0201 ], [ -146.5,63.3848 ], [ -145.4947,63.3848 ], [ -145.4947,63.0201 ], [ -146.5,63.0201 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529efd6fe4b01942f4ab8b83","contributors":{"authors":[{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":485909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":485908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":485906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Gregory K. glee@usgs.gov","contributorId":1220,"corporation":false,"usgs":true,"family":"Lee","given":"Gregory","email":"glee@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vohden, James","contributorId":101281,"corporation":false,"usgs":true,"family":"Vohden","given":"James","email":"","affiliations":[],"preferred":false,"id":485911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Neill, J. Michael","contributorId":98210,"corporation":false,"usgs":true,"family":"O’Neill","given":"J. Michael","affiliations":[],"preferred":false,"id":485910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kerin, L. Jack","contributorId":106793,"corporation":false,"usgs":true,"family":"Kerin","given":"L. Jack","affiliations":[],"preferred":false,"id":485912,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048992,"text":"sim3275 - 2013 - Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","interactions":[],"lastModifiedDate":"2013-12-02T15:52:35","indexId":"sim3275","displayToPublicDate":"2013-12-02T15:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3275","title":"Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","docAbstract":"Digital flood-inundation maps for a 15.5-mi reach of the DuPage River from Plainfield to Shorewood, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the Will County Stormwater Management Planning Committee. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights or stages) at the USGS streamgage at DuPage River at Shorewood, Illinois (sta. no. 05540500). Current conditions at the USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?05540500. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. The NWS-forecasted peak-stage information, also shown on the DuPage River at Shorewood inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from NWS Action stage of 6 ft to the historic crest of 14.0 ft. The simulated water-surface profiles were then combined with a Digital Elevation Model (DEM) (derived from Light Detection And Ranging (LiDAR) data) by using a Geographic Information System (GIS) in order to delineate the area flooded at each water level. These maps, along with information on the Internet regarding current gage height from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3275","collaboration":"Prepared in cooperation with the Will County Stormwater Management Planning Committee","usgsCitation":"Murphy, E., and Sharpe, J.B., 2013, Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013: U.S. Geological Survey Scientific Investigations Map 3275, Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory, https://doi.org/10.3133/sim3275.","productDescription":"Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043662","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":280119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3275.jpg"},{"id":280109,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet02stage7_sim3275.pdf"},{"id":280110,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet01stage6_sim3275.pdf"},{"id":280107,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3275/"},{"id":280108,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_pamphlet.pdf"},{"id":280111,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet03stage8_sim3275.pdf"},{"id":280112,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet04stage9_sim3275.pdf"},{"id":280113,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet05stage10_sim3275.pdf"},{"id":280114,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet06stage11_sim3275.pdf"},{"id":280115,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet07stage12_sim3275.pdf"},{"id":280116,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet08stage13_sim3275.pdf"},{"id":280117,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet09stage14_sim3275.pdf"},{"id":280118,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3275/Downloads"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.233333,41.516667 ], [ -88.233333,41.700000 ], [ -88.150000,41.700000 ], [ -88.150000,41.516667 ], [ -88.233333,41.516667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac16e4b0516126f66b4b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":485954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70057876,"text":"70057876 - 2013 - Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater","interactions":[],"lastModifiedDate":"2013-12-02T14:34:08","indexId":"70057876","displayToPublicDate":"2013-12-02T14:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater","docAbstract":"High salinity groundwater more than 1000 metres deep in the Atlantic Coastal Plain of the United States has been documented in several locations1,2, most recently within the 35 million-year-old Chesapeake Bay impact crater3,4,5. Suggestions for the origin of increased salinity in the crater have included evaporite dissolution6, osmosis6, and evaporation from heating7 associated with the bolide impact. Here we present chemical, isotopic and physical evidence that together indicate that groundwater in the Chesapeake crater is remnant Early Cretaceous North Atlantic (ECNA) seawater. We find that the seawater is likely 100-145 million years old and that it has an average salinity of about 70 per mil, which is twice that of modern seawater and consistent with the nearly closed ECNA basin8. Previous evidence for temperature and salinity levels of ancient oceans have been estimated indirectly from geochemical, isotopic and paleontological analyses of solid materials in deep sediment cores. In contrast, our study identifies ancient seawater in situ and provides a direct estimate of its age and salinity. Moreover, we suggest that it is likely that remnants of ECNA seawater persist in deep sediments at many locations along the Atlantic margin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MacMillan Publishing Limited","doi":"10.1038/nature12714","usgsCitation":"Sanford, W.E., Doughten, M.W., Coplen, T.B., Hunt, A.G., and Bullen, T.D., 2013, Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater: Nature, v. 503, no. 745, p. 252-256, https://doi.org/10.1038/nature12714.","productDescription":"5 p.","startPage":"252","endPage":"256","numberOfPages":"13","ipdsId":"IP-046198","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":280103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature12714"}],"country":"United States","state":"Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.4633,36.9078 ], [ -76.4633,37.9656 ], [ -75.2563,37.9656 ], [ -75.2563,36.9078 ], [ -76.4633,36.9078 ] ] ] } } ] }","volume":"503","issue":"745","noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"529dac15e4b0516126f66b45","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doughten, Michael W. doughten@usgs.gov","contributorId":4717,"corporation":false,"usgs":true,"family":"Doughten","given":"Michael","email":"doughten@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":486906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":486907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045587,"text":"70045587 - 2013 - Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds","interactions":[],"lastModifiedDate":"2014-05-05T14:54:45","indexId":"70045587","displayToPublicDate":"2013-12-01T14:44:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds","docAbstract":"For Pacific salmon, estuaries are typically considered transitional staging areas between freshwater and marine environments, but their potential as rearing habitat has only recently been recognized. The objectives of this study were two-fold: (1) to determine if Coho Salmon Oncorhynchus kisutch were rearing in estuarine habitats, and (2) to characterize and compare the body length, age, condition, and duration and timing of estuarine occupancy of juvenile Coho Salmon between the two contrasting estuaries. We examined use of estuary habitats with analysis of microchemistry and microstructure of sagittal otoliths in two watersheds of south-central Alaska. Juvenile Coho Salmon were classified as estuary residents or nonresidents (recent estuary immigrants) based on otolith Sr : Ca ratios and counts of daily growth increments on otoliths. The estuaries differed in water source (glacial versus snowmelt hydrographs) and in relative estuarine and watershed area. Juvenile Coho Salmon with evidence of estuary rearing were greater in body length and condition than individuals lacking evidence of estuarine rearing. Coho Salmon captured in the glacial estuary had greater variability in body length and condition, and younger age-classes predominated the catch compared with the nearby snowmelt-fed, smaller estuary. Estuary-rearing fish in the glacial estuary arrived later and remained longer (39 versus 24 d of summer growth) during the summer than did fish using the snowmelt estuary. Finally, we observed definitive patterns of overwintering in estuarine and near shore environments in both estuaries. Evidence of estuary rearing and overwintering with differences in fish traits among contrasting estuary types refute the notion that estuaries function as only staging or transitional habitats in the early life history of Coho Salmon.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/00028487.2013.815660","usgsCitation":"Hoem Neher, T.D., Rosenberger, A.E., Zimmerman, C.E., Walker, C.M., and Baird, S.J., 2013, Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds: Transactions of the American Fisheries Society, v. 142, no. 6, p. 1481-1494, https://doi.org/10.1080/00028487.2013.815660.","productDescription":"16 p.","startPage":"1481","endPage":"1494","ipdsId":"IP-045003","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":286897,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.815660"},{"id":286902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.09,59.16 ], [ -152.09,60.92 ], [ -148.25,60.92 ], [ -148.25,59.16 ], [ -152.09,59.16 ] ] ] } } ] }","volume":"142","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"5368b2efe4b059f7e8288336","contributors":{"authors":[{"text":"Hoem Neher, Tammy D.","contributorId":48104,"corporation":false,"usgs":true,"family":"Hoem Neher","given":"Tammy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":477886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":477883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baird, Steven J.","contributorId":12375,"corporation":false,"usgs":false,"family":"Baird","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046979,"text":"70046979 - 2013 - Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","interactions":[],"lastModifiedDate":"2014-07-07T09:17:50","indexId":"70046979","displayToPublicDate":"2013-12-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","docAbstract":"Climate change and sea-level rise could cause substantial changes in urban runoff and flooding in low-lying coast landscapes. A major challenge for local government officials and decision makers is to translate the potential global effects of climate change into actionable and cost-effective adaptation and mitigation strategies at county and municipal scales. A MODFLOW process is used to represent sub-grid scale hydrology in urban settings to help address these issues. Coupled interception, surface water, depression, and unsaturated zone storage are represented. A two-dimensional diffusive wave approximation is used to represent overland flow. Three different options for representing infiltration and recharge are presented. Additional features include structure, barrier, and culvert flow between adjacent cells, specified stage boundaries, critical flow boundaries, source/sink surface-water terms, and the bi-directional runoff to MODFLOW Surface-Water Routing process. Some abilities of the Urban RunOff (URO) process are demonstrated with a synthetic problem using four land uses and varying cell coverages. Precipitation from a hypothetical storm was applied and cell by cell surface-water depth, groundwater level, infiltration rate, and groundwater recharge rate are shown. Results indicate the URO process has the ability to produce time-varying, water-content dependent infiltration and leakage, and successfully interacts with MODFLOW.","largerWorkTitle":"MODFLOW and More 2013: Translating Science into Practice: Conference Proceedings","conferenceTitle":"MODFLOW and More 2013: Translating Science into Practice","conferenceDate":"2013-06-02T00:00:00","conferenceLocation":"Golden, CO","language":"English","publisher":"Integrated GroundWater Modeling Center, Colorado School of Mines","publisherLocation":"Golden, CO","usgsCitation":"Decker, J.D., and Hughes, J., 2013, Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL, p. 216-221.","productDescription":"p. 216-221","numberOfPages":"6","ipdsId":"IP-044959","costCenters":[],"links":[{"id":289445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.881233,25.95675 ], [ -80.881233,26.334698 ], [ -80.074729,26.334698 ], [ -80.074729,25.95675 ], [ -80.881233,25.95675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc187e4b084059e8bff08","contributors":{"authors":[{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":480788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":480789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074807,"text":"70074807 - 2013 - Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines","interactions":[],"lastModifiedDate":"2014-02-05T14:07:08","indexId":"70074807","displayToPublicDate":"2013-12-01T14:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines","docAbstract":"To evaluate whether anatectic and/or highly fractionated lithophile element-enriched rhyolite tuffs deposited in arid lacustrine basins lose enough lithium during eruption, lithification, and weathering to generate significant Li brine resources, pre-eruptive melt compositions, preserved in inclusions, and the magnitude of post-eruptive Li depletions, evident in host rhyolites, were documented at six sites in the western United States. Each rhyolite is a member of the bimodal basalt-rhyolite assemblage associated with extensional tectonics that produced the Basin and Range province and Rio Grande rift, an evolving pattern of closed drainage basins, and geothermal energy or mineral resources.\n\nResults from the 0.8 Ma Bishop tuff (geothermal) in California, 1.3 to 1.6 Ma Cerro Toledo and Upper Bandelier tephra (geothermal) and 27.9 Ma Taylor Creek rhyolite (Sn) in New Mexico, 21.7 Ma Spor Mountain tuff (Be, U, F) and 24.6 Ma Pine Grove tuff (Mo) in Utah, and 27.6 Ma Hideaway Park tuff (Mo) in Colorado support the following conclusions. Melt inclusions in quartz phenocrysts from rhyolite tuffs associated with hydrothermal deposits of Sn, Mo, and Be are extremely enriched in Li (1,000s of ppm); those from Spor Mountain have the highest Li abundance yet recorded (max 5,200 ppm, median 3,750 ppm). Forty-five to 98% of the Li present in pre-eruptive magma was lost to the environment from these rhyolite tuffs. The amount of Li lost from the small volumes (1–10 km3) of Li-enriched rhyolite deposited in closed basins is sufficient to produce world-class Li brine resources. After each eruption, meteoric water leaches Li from tuff, which drains into playas, where it is concentrated by evaporation. The localized occurrence of Li-enriched rhyolites may explain why brines in arid lacustrine basins seldom have economic concentrations of Li.\n\nConsidering that hydrothermal deposits of Sn, Mo, Be, U, and F may indicate potential for Li brines in nearby basins, we surmise that the world’s largest Li brine resource in the Salar de Uyuni (10 Mt) received Li from nearby rhyolite tuffs in the Bolivian tin belt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.108.7.1691","usgsCitation":"Hofstra, A.H., Todorov, T., Mercer, C., Adams, D., and Marsh, E., 2013, Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines: Economic Geology, v. 108, no. 7, p. 1691-1701, https://doi.org/10.2113/econgeo.108.7.1691.","productDescription":"11 p.","startPage":"1691","endPage":"1701","numberOfPages":"11","ipdsId":"IP-045184","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":282037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.108.7.1691"}],"country":"United States","state":"California;Colorado;New Mexico;Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,31.31 ], [ -124.53,41.99 ], [ -102.04,41.99 ], [ -102.04,31.31 ], [ -124.53,31.31 ] ] ] } } ] }","volume":"108","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53cd72b4e4b0b290851087e4","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":489904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, C.N.","contributorId":55738,"corporation":false,"usgs":true,"family":"Mercer","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":489907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, D.T.","contributorId":44439,"corporation":false,"usgs":true,"family":"Adams","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":489906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marsh, E.E.","contributorId":16628,"corporation":false,"usgs":true,"family":"Marsh","given":"E.E.","email":"","affiliations":[],"preferred":false,"id":489905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70103852,"text":"70103852 - 2013 - Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model","interactions":[],"lastModifiedDate":"2014-05-08T13:43:37","indexId":"70103852","displayToPublicDate":"2013-12-01T13:35:54","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model","docAbstract":"Anthropogenic and climatic forces have modified the geomorphology of tidal wetlands over a range of timescales. Changes in land use, sediment supply, river flow, storminess, and sea level alter the layout of tidal channels, intertidal flats, and marsh plains; these elements define wetland complexes. Diagnostically, measurements of net sediment fluxes through tidal channels are high-temporal resolution, spatially integrated quantities that indicate (1) whether a complex is stable over seasonal timescales and (2) what mechanisms are leading to that state. We estimated sediment fluxes through tidal channels draining wetland complexes on the Blackwater and Transquaking Rivers, Maryland, USA. While the Blackwater complex has experienced decades of degradation and been largely converted to open water, the Transquaking complex has persisted as an expansive, vegetated marsh. The measured net export at the Blackwater complex (1.0 kg/s or 0.56 kg/m2/yr over the landward marsh area) was caused by northwesterly winds, which exported water and sediment on the subtidal timescale; tidally forced net fluxes were weak and precluded landward transport of suspended sediment from potential seaward sources. Though wind forcing also exported sediment at the Transquaking complex, strong tidal forcing and proximity to a turbidity maximum led to an import of sediment (0.031 kg/s or 0.70 kg/m2/yr). This resulted in a spatially averaged accretion of 3.9 mm/yr, equaling the regional relative sea level rise. Our results suggest that in areas where seaward sediment supply is dominant, seaward wetlands may be more capable of withstanding sea level rise over the short term than landward wetlands. We propose a conceptual model to determine a complex's tendency toward stability or instability based on sediment source, wetland channel location, and transport mechanisms. Wetlands with a reliable portfolio of sources and transport mechanisms appear better suited to offset natural and anthropogenic loss.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrf.20143","usgsCitation":"Ganju, N., Nidzieko, N.J., and Kirwan, M., 2013, Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model: Journal of Geophysical Research F: Earth Surface, v. 118, no. 4, p. 2045-2058, https://doi.org/10.1002/jgrf.20143.","productDescription":"14 p.","startPage":"2045","endPage":"2058","numberOfPages":"14","ipdsId":"IP-049087","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473411,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1405","text":"External Repository"},{"id":286998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20143"}],"country":"United States","state":"Maryl","otherGeospatial":"Blackwater River;Transquaking River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.195,38.323 ], [ -76.195,38.462 ], [ -75.910,38.462 ], [ -75.910,38.323 ], [ -76.195,38.323 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"536ca76ce4b060efff280db9","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":493498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nidzieko, Nicholas J.","contributorId":91018,"corporation":false,"usgs":true,"family":"Nidzieko","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":493496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048476,"text":"70048476 - 2013 - Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska","interactions":[],"lastModifiedDate":"2014-01-14T13:21:10","indexId":"70048476","displayToPublicDate":"2013-12-01T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska","docAbstract":"Permafrost is common to many northern wetlands given the insulation of thick organic soil layers, although soil saturation in wetlands can lead to warmer soils and increased thaw depth. We analyzed five years of soil CO2 fluxes along a wetland gradient that varied in permafrost and soil moisture conditions. We predicted that communities with permafrost would have reduced ecosystem respiration (ER) but greater temperature sensitivity than communities without permafrost. These predictions were partially supported. The colder communities underlain by shallow permafrost had lower ecosystem respiration (ER) than communities with greater active layer thickness. However, the apparent Q10 of monthly averaged ER was similar in most of the vegetation communities except the rich fen, which had smaller Q10 values. Across the gradient there was a negative relationship between water table position and apparent Q10, showing that ER was more temperature sensitive under drier soil conditions. We explored whether root respiration could account for differences in ER between two adjacent communities (sedge marsh and rich fen), which corresponded to the highest and lowest ER, respectively. Despite differences in root respiration rates, roots contributed equally (~40%) to ER in both communities. Also, despite similar plant biomass, ER in the rich fen was positively related to root biomass, while ER in the sedge marsh appeared to be related more to vascular green area. Our results suggest that ER across this wetland gradient was temperature-limited, until conditions became so wet that respiration became oxygen-limited and influenced less by temperature. But even in sites with similar hydrology and thaw depth, ER varied significantly likely based on factors such as soil redox status and vegetation composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045029","usgsCitation":"McConnell, N.A., Turetsky, M.R., McGuire, A., Kane, E.S., Waldrop, M.P., and Harden, J.W., 2013, Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska: Environmental Research Letters, v. 8, no. 4, 11 p., https://doi.org/10.1088/1748-9326/8/4/045029.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-046002","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045029","text":"Publisher Index Page"},{"id":281017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/4/045029"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonanza Creek Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.369,64.1106 ], [ -150.369,65.5469 ], [ -144.9175,65.5469 ], [ -144.9175,64.1106 ], [ -150.369,64.1106 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-02","publicationStatus":"PW","scienceBaseUri":"53cd532be4b0b290850f4fad","contributors":{"authors":[{"text":"McConnell, Nicole A.","contributorId":63312,"corporation":false,"usgs":true,"family":"McConnell","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":484771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":484769,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048366,"text":"70048366 - 2013 - Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","interactions":[],"lastModifiedDate":"2014-01-08T13:08:46","indexId":"70048366","displayToPublicDate":"2013-12-01T13:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","docAbstract":"In an attempt to decelerate the rate of coastal erosion and wetland loss, and protect human communities, the state of Louisiana developed its Comprehensive Master Plan for a Sustainable Coast. The master plan proposes a combination of restoration efforts including shoreline protection, marsh creation, sediment diversions, and ridge, barrier island, and hydrological restoration. Coastal restoration projects, particularly the large-scale diversions of fresh water from the Mississippi River, needed to supply sediment to an eroding coast potentially impact oyster populations and oyster habitat. An oyster habitat suitability index model is presented that evaluates the effects of a proposed sediment and freshwater diversion into Lower Breton Sound. Voluminous freshwater, needed to suspend and broadly distribute river sediment, will push optimal salinities for oysters seaward and beyond many of the existing reefs. Implementation and operation of the Lower Breton Sound diversion structure as proposed would render about 6,173 ha of hard bottom immediately east of the Mississippi River unsuitable for the sustained cultivation of oysters. If historical harvests are to be maintained in this region, a massive and unprecedented effort to relocate private leases and restore oyster bottoms would be required. Habitat suitability index model results indicate that the appropriate location for such efforts are to the east and north of the Mississippi River Gulf Outlet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Shellfish Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.032.0302","usgsCitation":"Soniat, T.M., Conzelmann, C.P., Byrd, J.D., Roszell, D.P., Bridevaux, J.L., Suir, K.J., and Colley, S.B., 2013, Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model: Journal of Shellfish Research, v. 32, no. 3, p. 629-638, https://doi.org/10.2983/035.032.0302.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","ipdsId":"IP-048870","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2983/035.032.0302","text":"Publisher Index Page"},{"id":280732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280731,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2983/035.032.0302"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.75,29.0 ], [ -90.75,30.75 ], [ -88.25,30.75 ], [ -88.25,29.0 ], [ -90.75,29.0 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c66e4b0b290851048ad","contributors":{"authors":[{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig P. 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":92137,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":484440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Jason D. byrdj@usgs.gov","contributorId":4893,"corporation":false,"usgs":true,"family":"Byrd","given":"Jason","email":"byrdj@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roszell, Dustin P.","contributorId":16311,"corporation":false,"usgs":true,"family":"Roszell","given":"Dustin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridevaux, Joshua L.","contributorId":103567,"corporation":false,"usgs":true,"family":"Bridevaux","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":484441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colley, Susan B.","contributorId":36844,"corporation":false,"usgs":true,"family":"Colley","given":"Susan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484439,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70124317,"text":"70124317 - 2013 - Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails","interactions":[],"lastModifiedDate":"2014-09-11T12:51:17","indexId":"70124317","displayToPublicDate":"2013-12-01T12:46:02","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails","docAbstract":"To study potential effects of recreation activity on habitat use of desert bighorn sheep (Ovis canadensis nelsoni), we placed Global Positioning System collars on 10 female bighorn sheep within the Wonderland of Rocks–Queen Mountain region of Joshua Tree National Park (JOTR), California, USA, from 2002 to 2004. Recreation use was highest from March to April and during weekends throughout the year. Daily use of recreation trails was highest during midday. By comparing habitat use (slope, ruggedness, distance to water, and distance to recreation trails) of female bighorn sheep on weekdays versus weekends, we were able to detect short-term shifts in behavior in response to recreation. In a logistic regression of bighorn sheep locations versus random locations for March and April, female locations at midday (1200 hours) were significantly more distant from recreation trails on weekends compared with weekdays. Our results indicate that within this region of JOTR, moderate to high levels of human recreation activity may temporarily exclude bighorn females from their preferred habitat. However, the relative proximity of females to recreation trails during the weekdays before and after such habitat shifts indicates that these anthropogenic impacts were short-lived. Our results have implications for management of wildlife on public lands where the co-existence of wildlife and recreational use is a major goal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.349","usgsCitation":"Longshore, K.M., Lowrey, C., and Thompson, D., 2013, Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails: Wildlife Society Bulletin, v. 37, no. 4, p. 698-706, https://doi.org/10.1002/wsb.349.","productDescription":"9 p.","startPage":"698","endPage":"706","numberOfPages":"9","ipdsId":"IP-009849","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":499982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e94d64d653cb4dd3ae768a26bbdfd675","text":"External Repository"},{"id":293719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.349"}],"country":"United States","state":"California","otherGeospatial":"Joshua Tree National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.457722,33.670186 ], [ -116.457722,34.129343 ], [ -115.262191,34.129343 ], [ -115.262191,33.670186 ], [ -116.457722,33.670186 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"5412b9a3e4b0239f1986ba3f","chorus":{"doi":"10.1002/wsb.349","url":"http://dx.doi.org/10.1002/wsb.349","publisher":"Wiley-Blackwell","authors":"Longshore Kathleen, Lowrey Chris, Thompson Daniel B.","journalName":"Wildlife Society Bulletin","publicationDate":"10/11/2013","publiclyAccessibleDate":"10/11/2013"},"contributors":{"authors":[{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrey, Chris","contributorId":84282,"corporation":false,"usgs":true,"family":"Lowrey","given":"Chris","affiliations":[],"preferred":false,"id":500708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel B.","contributorId":97829,"corporation":false,"usgs":true,"family":"Thompson","given":"Daniel B.","affiliations":[],"preferred":false,"id":500709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147932,"text":"70147932 - 2013 - Winter habitat use and survival of lesser prairie-chickens in West Texas","interactions":[],"lastModifiedDate":"2015-05-11T11:14:36","indexId":"70147932","displayToPublicDate":"2013-12-01T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Winter habitat use and survival of lesser prairie-chickens in West Texas","docAbstract":"The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines in population and occupied range since the late 1800s and is currently proposed for Federal protection under the Endangered Species Act. Populations and the distribution of lesser prairie-chickens in Texas, USA, are thought to be at or near all-time lows. Currently, there is a paucity of data on the wintering ecology of the species. We measured home range, habitat use, and survival of lesser prairie-chickens during the non-breeding seasons (1 Sep-28 Feb) of 2008-2009, 2009-2010, and 2010-2011 in sand shinnery oak (Quercus havardii) landscapes in the West Texas panhandle region. Home range size did not differ among years or between females (503 ha) andmales (489 ha). Over 97% of locations of both male and female prairie-chickens were within 3.2 km of the lek of capture, and 99.9% were within 3.2 km of an available water source (i.e., livestock water tank). Habitat cover types were not used proportional to occurrence within the home ranges; grassland-dominated areas with co-occurring sand shinnery oak were used more than available, but sand sagebrush (Artemisia filifolia)-dominated areas with grassland and sand sagebrush-dominated areas with bare ground were both used less than available. Survival rates during the first 2 non-breeding seasons (>80%) were among the highest reported for the species. However, survival during the third non-breeding season was only 57%, resulting in a 3-year average of 72%. It does not appear that non-breeding season mortality is a strong limiting factor in lesser prairie-chicken persistence in the study area.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/wsb.354","usgsCitation":"Pirius, N.E., Boal, C.W., Haukos, D.A., and Wallace, M., 2013, Winter habitat use and survival of lesser prairie-chickens in West Texas: Wildlife Society Bulletin, v. 37, no. 4, p. 759-765, https://doi.org/10.1002/wsb.354.","productDescription":"7 p.","startPage":"759","endPage":"765","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037557","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499988,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/8bd2278a2b34485da513e457ff581500","text":"External Repository"},{"id":300285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-14","publicationStatus":"PW","scienceBaseUri":"5551d2c1e4b0a92fa7e93c24","contributors":{"authors":[{"text":"Pirius, Nicholas E.","contributorId":57702,"corporation":false,"usgs":true,"family":"Pirius","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":546670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, M.C.","contributorId":59162,"corporation":false,"usgs":true,"family":"Wallace","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":546672,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047909,"text":"70047909 - 2013 - Characterization of polyoxyethylene tallow amine surfactants in technical mixtures and glyphosate formulations using ultra-high performance liquid chromatography and triple quadrupole mass spectrometry","interactions":[],"lastModifiedDate":"2014-01-14T11:48:49","indexId":"70047909","displayToPublicDate":"2013-12-01T11:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2214,"text":"Journal of Chromatography A","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of polyoxyethylene tallow amine surfactants in technical mixtures and glyphosate formulations using ultra-high performance liquid chromatography and triple quadrupole mass spectrometry","docAbstract":"Little is known about the occurrence, fate, and effects of the ancillary additives in pesticide formulations. Polyoxyethylene tallow amine (POEA) is a non-ionic surfactant used in many glyphosate formulations, a widely applied herbicide both in agricultural and urban environments. POEA has not been previously well characterized, but has been shown to be toxic to various aquatic organisms. Characterization of technical mixtures using ultra-high performance liquid chromatography (UHPLC) and mass spectrometry shows POEA is a complex combination of homologs of different aliphatic moieties and ranges of ethoxylate units. Tandem mass spectrometry experiments indicate that POEA homologs generate no product ions readily suitable for quantitative analysis due to poor sensitivity. A comparison of multiple high performance liquid chromatography (HPLC) and UHPLC analytical columns indicates that the stationary phase is more important in column selection than other parameters for the separation of POEA. Analysis of several agricultural and household glyphosate formulations confirms that POEA is a common ingredient but ethoxylate distributions among formulations vary.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Chromatography A","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chroma.2013.10.032","usgsCitation":"Tush, D., Loftin, K.A., and Meyer, M.T., 2013, Characterization of polyoxyethylene tallow amine surfactants in technical mixtures and glyphosate formulations using ultra-high performance liquid chromatography and triple quadrupole mass spectrometry: Journal of Chromatography A, v. 1319, p. 80-87, https://doi.org/10.1016/j.chroma.2013.10.032.","productDescription":"8 p.","startPage":"80","endPage":"87","numberOfPages":"8","ipdsId":"IP-051127","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":280995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280994,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chroma.2013.10.032"}],"volume":"1319","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd50bbe4b0b290850f3824","contributors":{"authors":[{"text":"Tush, Daniel","contributorId":69887,"corporation":false,"usgs":true,"family":"Tush","given":"Daniel","affiliations":[],"preferred":false,"id":483279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":483278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":483277,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}