{"pageNumber":"597","pageRowStart":"14900","pageSize":"25","recordCount":69035,"records":[{"id":70055619,"text":"sir20135155 - 2013 - Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts","interactions":[],"lastModifiedDate":"2013-11-14T15:49:49","indexId":"sir20135155","displayToPublicDate":"2013-11-14T15:45:00","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":"2013-5155","title":"Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts","docAbstract":"Regression equations were developed for estimating bankfull geometry—width, mean depth, cross-sectional area—and discharge for streams in Massachusetts. The equations provide water-resource and conservation managers with methods for estimating bankfull characteristics at specific stream sites in Massachusetts. This information can be used for the adminstration of the Commonwealth of Massachusetts Rivers Protection Act of 1996, which establishes a protected riverfront area extending from the mean annual high-water line corresponding to the elevation of bankfull discharge along each side of a perennial stream. Additionally, information on bankfull channel geometry and discharge are important to Federal, State, and local government agencies and private organizations involved in stream assessment and restoration projects.\n\nRegression equations are based on data from stream surveys at 33 sites (32 streamgages and 1 crest-stage gage operated by the U.S. Geological Survey) in and near Massachusetts. Drainage areas of the 33 sites ranged from 0.60 to 329 square miles (mi2). At 27 of the 33 sites, field data were collected and analyses were done to determine bankfull channel geometry and discharge as part of the present study. For 6 of the 33 sites, data on bankfull channel geometry and discharge were compiled from other studies done by the U.S. Geological Survey, Natural Resources Conservation Service of the U.S. Department of Agriculture, and the Vermont Department of Environmental Conservation. Similar techniques were used for field data collection and analysis for bankfull channel geometry and discharge at all 33 sites. Recurrence intervals of the bankfull discharge, which represent the frequency with which a stream fills its channel, averaged 1.53 years (median value 1.34 years) at the 33 sites. Simple regression equations were developed for bankfull width, mean depth, cross-sectional area, and discharge using drainage area, which is the most significant explanatory variable in estimating these bankfull characteristics. The use of drainage area as an explanatory variable is also the most commonly published method for estimating these bankfull characteristics. Regional curves (graphic plots) of bankfull channel geometry and discharge by drainage area are presented. The regional curves are based on the simple regression equations and can be used to estimate bankfull characteristics from drainage area. Multiple regression analysis, which includes basin characteristics in addition to drainage area, also was used to develop equations. Variability in bankfull width, mean depth, cross-sectional area, and discharge was more fully explained by the multiple regression equations that include mean-basin slope and drainage area than was explained by equations based on drainage area alone. The Massachusetts regional curves and equations developed in this study are similar, in terms of values of slopes and intercepts, to those developed for other parts of the northeastern United States.\n\nLimitations associated with site selection and development of the equations resulted in some constraints for the application of equations and regional curves presented in this report. The curves and equations are applicable to stream sites that have (1) less than about 25 percent of their drainage basin area occupied by urban land use (commercial, industrial, transportation, and high-density residential), (2) little to no streamflow regulation, especially from flood-control structures, (3) drainage basin areas greater than 0.60 mi2 and less than 329 mi2, and (4) a mean basin slope greater than 2.2 percent and less than 23.9 percent. The equations may not be applicable where streams flow through extensive wetlands. The equations also may not apply in areas of Cape Cod and the Islands and the area of southeastern Massachusetts close to Cape Cod with extensive areas of coarse-grained glacial deposits where none of the study sites are located. Regardless of the setting, the regression equations are not intended for use as the sole method of estimating bankfull characteristics; however, they may supplement field identification of the bankfull channel when used in conjunction with field verified bankfull indicators, flood-frequency analysis, or other supporting evidence.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135155","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection Bureau of Resource Protection Wetlands and Waterways Program and Massachusetts Environmental Trust","usgsCitation":"Bent, G.C., and Waite, A.M., 2013, Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013-5155, vii, 61 p., https://doi.org/10.3133/sir20135155.","productDescription":"vii, 61 p.","numberOfPages":"74","onlineOnly":"N","ipdsId":"IP-009440","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":279091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135155.jpg"},{"id":279090,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5155/pdf/sir2013-5155.pdf"},{"id":279087,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5155/"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.2491 ], [ -73.5081,42.8868 ], [ -69.928,42.8868 ], [ -69.928,41.2491 ], [ -73.5081,41.2491 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52860762e4b00926c218653e","contributors":{"authors":[{"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":486153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Andrew M. awaite@usgs.gov","contributorId":2215,"corporation":false,"usgs":true,"family":"Waite","given":"Andrew","email":"awaite@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":486154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048994,"text":"sir20135133 - 2013 - Hydrogeology and hydrologic conditions of the Northern Atlantic Coastal Plain aquifer System from Long Island, New York, to North Carolina","interactions":[],"lastModifiedDate":"2017-01-17T20:47:58","indexId":"sir20135133","displayToPublicDate":"2013-11-14T15:33:00","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":"2013-5133","title":"Hydrogeology and hydrologic conditions of the Northern Atlantic Coastal Plain aquifer System from Long Island, New York, to North Carolina","docAbstract":"<p>The seaward-dipping sedimentary wedge that underlies the Northern Atlantic Coastal Plain forms a complex groundwater system. This major source of water provides for public and domestic supply and serves as a vital source of freshwater for industrial and agricultural uses throughout the region. Population increases and land-use and climate changes, however, have led to competing demands for water. The regional response of the aquifer system to these stresses poses regional challenges for water-resources management at the State level because hydrologic effects often extend beyond State boundaries. In response to these challenges, the U.S. Geological Survey Groundwater Resources Program began a regional assessment of the groundwater availability of the Northern Atlantic Coastal Plain aquifer system in 2010.</p>\n<p>The initial phase of this investigation included a refinement of the hydrogeologic framework and an updated hydrologic budget of this aquifer system from the last regional aquifer system assessment completed by the U.S. Geological Survey in the 1980s. Refinements to the hydrogeologic framework include revision of the regional aquifer names to be more consistent with local names in New York, New Jersey, Delaware, Maryland, and Virginia, the primary States included in the study area. Other revisions to the framework include characterization of the aquifers of the regional Potomac aquifer system. The regional Potomac aquifer system is subdivided for this report into two regional aquifers. These aquifers include the single Potomac aquifer in Virginia and two aquifers in Maryland, Delaware, and New Jersey, where the Potomac aquifer system thickens within the Salisbury Embayment. The two regional aquifers making up the Potomac aquifer system include the Potomac-Patapsco aquifer and the underlying Potomac-Patuxent aquifer.</p>\n<p>The Potomac-Patuxent aquifer includes the Lower Potomac-Raritan-Magothy aquifer in southern New Jersey and the Patuxent aquifers in Delaware and Maryland. In northern New Jersey and on Long Island, New York, the PotomacPatuxent aquifer is absent, but the Late Cretaceous fluvialdeltaic aquifer that is laterally equivalent with the upper part of the Potomac Formation now is considered part of the regional Potomac-Patapsco aquifer. This aquifer includes the Middle Potomac-Raritan-Magothy aquifer in New Jersey and the Lloyd aquifer on Long Island.</p>\n<p>The name &ldquo;Upper Potomac aquifer&rdquo; has been removed as part of this regional framework revision. The local aquifer previously considered part of the Upper Potomac aquifer now are part of the regional Magothy aquifer. These units include the Upper Potomac-Raritan-Magothy aquifer in New Jersey, the Magothy aquifers on Long Island, Delaware, and Maryland, and the Virginia Beach aquifer in Virginia.</p>\n<p>Updates to the regional hydrologic budget include revised estimates of aquifer recharge, water use and streamflow data. Inflow to the aquifer system of about 20,000 million gallons per day (Mgal/d) includes 19,600 Mgal/d from recharge from precipitation, 200 Mgal/d of recharge from wastewater via onsite domestic septic systems, and 200 Mgal/d from the release of water from aquifer storage. Outflow from the aquifer system includes groundwater discharge to streams (11,900 Mgal/d), groundwater withdrawals (1,500 Mgal/d), and groundwater discharge to coastal waters (6,600 Mgal/d). A numerical modeling analysis is required to improve this hydrologic budget calculation and to forecast future changes in water levels and aquifer storage caused by groundwater withdrawals, land-use changes, and the effects of climate variability and change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135133","collaboration":"Groundwater Resources Program","usgsCitation":"Masterson, J.P., Pope, J.P., Monti, Jack, Jr., Nardi, M.R., Finkelstein, J.S., and McCoy, K.J., 2015, Hydrogeology and hydrologic conditions of the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina (ver. 1.1, September 2015): U.S. Geological Survey Scientific Investigations Report 2013–5133, 76 p., https://dx.doi.org/10.3133/sir20135133.","productDescription":"viii, 76 p.","numberOfPages":"88","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044313","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":308391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":279088,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5133/pdf/sir20135133.pdf"},{"id":308378,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5133/"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, North Carolina, Virginia","otherGeospatial":"Northern Atlantic Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,34.0 ], [ -78.0,42.0 ], [ -71.0,42.0 ], [ -71.0,34.0 ], [ -78.0,34.0 ] ] ] } } ] }","edition":"Version 1.0 November 14, 2013; Version 1.1 September 22, 2015","contact":"<p><a href=\"mailto:dc_ma@usgs.gov&quot;\">Office Chief</a><br /> U.S. Geological Survey<br /> New England Water Science Center<br /> Massachusetts-Rhode Island Office<br /> 10 Bearfoot Road<br /> Northborough, MA 01532</p>\n<p>Or visit our Web site at:<br /> <a href=\"http://ma.water.usgs.gov\">http://ma.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>\n<p>Abstract</p>\n</li>\n<li>\n<p>Introduction</p>\n</li>\n<li>\n<p>Hydrogeology</p>\n</li>\n<li>\n<p>Hydrologic Conditions</p>\n</li>\n<li>\n<p>Summary and Conclusions</p>\n</li>\n<li>\n<p>References Cited</p>\n</li>\n<li>Appendix</li>\n</ul>","publishedDate":"2013-11-14","revisedDate":"2015-09-18","noUsgsAuthors":false,"publicationDate":"2013-11-14","publicationStatus":"PW","scienceBaseUri":"52860785e4b00926c2186544","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monti, Jack Jr. jmonti@usgs.gov","contributorId":1185,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finkelstein, Jason S.","contributorId":87055,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[],"preferred":false,"id":485960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":485956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70055879,"text":"70055879 - 2013 - Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides","interactions":[],"lastModifiedDate":"2017-02-15T11:39:36","indexId":"70055879","displayToPublicDate":"2013-11-14T14:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides","docAbstract":"Watershed Regressions for Pesticides for multiple pesticides (WARP-MP) are statistical models developed to predict concentration statistics for a wide range of pesticides in unmonitored streams. The WARP-MP models use the national atrazine WARP models in conjunction with an adjustment factor for each additional pesticide. The WARP-MP models perform best for pesticides with application timing and methods similar to those used with atrazine. For other pesticides, WARP-MP models tend to overpredict concentration statistics for the model development sites. For WARP and WARP-MP, the less-than-ideal sampling frequency for the model development sites leads to underestimation of the shorter-duration concentration; hence, the WARP models tend to underpredict 4- and 21-d maximum moving-average concentrations, with median errors ranging from 9 to 38% As a result of this sampling bias, pesticides that performed well with the model development sites are expected to have predictions that are biased low for these shorter-duration concentration statistics. The overprediction by WARP-MP apparent for some of the pesticides is variably offset by underestimation of the model development concentration statistics. Of the 112 pesticides used in the WARP-MP application to stream segments nationwide, 25 were predicted to have concentration statistics with a 50% or greater probability of exceeding one or more aquatic life benchmarks in one or more stream segments. Geographically, many of the modeled streams in the Corn Belt Region were predicted to have one or more pesticides that exceeded an aquatic life benchmark during 2009, indicating the potential vulnerability of streams in this region.","language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.05.0179","usgsCitation":"Stone, W.W., Crawford, C.G., and Gilliom, R.J., 2013, Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides: Journal of Environmental Quality, v. 42, no. 6, p. 1838-1851, https://doi.org/10.2134/jeq2013.05.0179.","productDescription":"14 p.","startPage":"1838","endPage":"1851","numberOfPages":"14","ipdsId":"IP-043582","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473444,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.05.0179","text":"Publisher Index Page"},{"id":279082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7R20ZD3","text":"WARP model pesticide predictions for EPA reach file 1 segments: 1992-2012"},{"id":279079,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.05.0179"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"42","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"52860787e4b00926c2186556","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":486275,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70055876,"text":"70055876 - 2013 - Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape","interactions":[],"lastModifiedDate":"2013-11-14T14:21:40","indexId":"70055876","displayToPublicDate":"2013-11-14T14:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape","docAbstract":"Processes that influence habitat selection in landscapes involve the interaction of habitat composition and configuration and are particularly important for species with complex life cycles. We assessed the relative influence of landscape spatial processes and local habitat characteristics on patterns in the distribution and abundance of spawning steelhead (Oncorhynchus mykiss), a threatened salmonid fish, across ~15,000 stream km in the John Day River basin, Oregon, USA. We used hurdle regression and a multi-model information theoretic approach to identify the relative importance of covariates representing key aspects of the steelhead life cycle (e.g., site access, spawning habitat quality, juvenile survival) at two spatial scales: within 2-km long survey reaches (local sites) and ecological neighborhoods (5 km) surrounding the local sites. Based on Akaike’s Information Criterion, models that included covariates describing ecological neighborhoods provided the best description of the distribution and abundance of steelhead spawning given the data. Among these covariates, our representation of offspring survival (growing-season-degree-days, °C) had the strongest effect size (7x) relative to other predictors. Predictive performances of model-averaged composite and neighborhood-only models were better than a site-only model based on both occurrence (percentage of sites correctly classified = 0.80±0.03 SD, 0.78±0.02 vs. 0.62±0.05, respectively) and counts (root mean square error = 3.37, 3.93 vs. 5.57, respectively). The importance of both temperature and stream flow for steelhead spawning suggest this species may be highly sensitive to impacts of land and water uses, and to projected climate impacts in the region and that landscape context, complementation, and connectivity will drive how this species responds to future environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0079232","usgsCitation":"Falke, J.A., Dunham, J., Jordan, C.E., McNyset, K., and Reeves, G.H., 2013, Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape: PLoS ONE, v. 8, no. 11, 11 p., https://doi.org/10.1371/journal.pone.0079232.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-049835","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0079232","text":"Publisher Index Page"},{"id":279081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0079232"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.5566,44.3714 ], [ -120.5566,45.6675 ], [ -117.9702,45.6675 ], [ -117.9702,44.3714 ], [ -120.5566,44.3714 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"52860786e4b00926c218654d","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":486270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":486273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Christopher E.","contributorId":40116,"corporation":false,"usgs":true,"family":"Jordan","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNyset, Kris M.","contributorId":58177,"corporation":false,"usgs":true,"family":"McNyset","given":"Kris M.","affiliations":[],"preferred":false,"id":486272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":486274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70055618,"text":"70055618 - 2013 - Restoration potential of sedge meadows in hand-cultivated soybean fields in northeastern China","interactions":[],"lastModifiedDate":"2013-11-14T11:02:47","indexId":"70055618","displayToPublicDate":"2013-11-14T10:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration potential of sedge meadows in hand-cultivated soybean fields in northeastern China","docAbstract":"Sedge meadows can be difficult to restore from farmed fields if key structural dominants are missing from propagule banks. In hand-cultivated soybean fields in northeastern China, we asked if tussock-forming Carex and other wetland species were present as seed or asexual propagules. In the Sanjiang Plain, China, we compared the seed banks, vegetative propagules (below-ground) and standing vegetation of natural and restored sedge meadows, and hand-cultivated soybean fields in drained and flooded conditions. We found that important wetland species survived cultivation as seeds for some time (e.g. Calamogrostis angustifolia and Potamogeton crispus) and as field weeds (e.g. C. angustifolia and Phragmites australis). Key structural species were missing in these fields, for example, Carex meyeriana. We also observed that sedge meadows restored without planting or seeding lacked tussock-forming sedges. The structure of the seed bank was related to experimental water regime, and field environments of tussock height, thatch depth, and presence of burning as based on Nonmetric Multidimensional Scaling analysis. To re-establish the structure imposed by tussock sedges, specific technologies might be developed to encourage the development of tussocks in restored sedge meadows.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/rec.12015","usgsCitation":"Wang, G., Middleton, B., and Jiang, M., 2013, Restoration potential of sedge meadows in hand-cultivated soybean fields in northeastern China: Restoration Ecology, v. 21, no. 6, p. 801-808, https://doi.org/10.1111/rec.12015.","productDescription":"8 p.","startPage":"801","endPage":"808","numberOfPages":"8","ipdsId":"IP-039033","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":279072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279055,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/rec.12015"}],"country":"China","otherGeospatial":"Sanjiang Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.25,45.0 ], [ -128.25,49.5 ], [ -132.75,49.5 ], [ -132.75,45.0 ], [ -128.25,45.0 ] ] ] } } ] }","volume":"21","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"52860785e4b00926c2186547","contributors":{"authors":[{"text":"Wang, Guodong","contributorId":92161,"corporation":false,"usgs":true,"family":"Wang","given":"Guodong","email":"","affiliations":[],"preferred":false,"id":486152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":69226,"corporation":false,"usgs":false,"family":"Middleton","given":"Beth","affiliations":[],"preferred":false,"id":486150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Ming","contributorId":83770,"corporation":false,"usgs":true,"family":"Jiang","given":"Ming","email":"","affiliations":[],"preferred":false,"id":486151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70055719,"text":"sir20125274 - 2013 - Two-dimensional simulation of the June 11, 2010, flood of the Little Missouri River at Albert Pike Recreational Area, Ouachita National Forest, Arkansas","interactions":[],"lastModifiedDate":"2013-11-15T08:18:14","indexId":"sir20125274","displayToPublicDate":"2013-11-14T09:55:00","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":"2012-5274","title":"Two-dimensional simulation of the June 11, 2010, flood of the Little Missouri River at Albert Pike Recreational Area, Ouachita National Forest, Arkansas","docAbstract":"In the early morning hours of June 11, 2010, substantial flooding occurred at Albert Pike Recreation Area in the Ouachita National Forest of west-central Arkansas, killing 20 campers. The U.S. Forest Service needed information concerning the extent and depth of flood inundation, the water velocity, and flow paths throughout Albert Pike Recreation Area for the flood and for streamflows corresponding to annual exceedence probabilities of 1 and 2 percent. The two-dimensional flow model Fst2DH, part of the Federal Highway Administration’s Finite Element Surface-water Modeling System, and the graphical user interface Surface-water Modeling System (SMS) were used to perform a steady-state simulation of the flood in a 1.5-mile reach of the Little Missouri River at Albert Pike Recreation Area. Peak streamflows of the Little Missouri River and tributary Brier Creek served as inputs to the simulation, which was calibrated to the surveyed elevations of high-water marks left by the flood and then used to predict flooding that would result from streamflows corresponding to annual exceedence probabilities of 1 and 2 percent. The simulated extent of the June 11, 2010, flood matched the observed extent of flooding at Albert Pike Recreation Area. The mean depth of inundation in the camp areas was 8.5 feet in Area D, 7.4 feet in Area C, 3.8 feet in Areas A, B, and the Day Use Area, and 12.5 feet in Lowry’s Camp Albert Pike. The mean water velocity was 7.2 feet per second in Area D, 7.6 feet per second in Area C, 7.2 feet per second in Areas A, B, and the Day Use Area, and 7.6 feet per second in Lowry’s Camp Albert Pike. A sensitivity analysis indicated that varying the streamflow of the Little Missouri River had the greatest effect on simulated water-surface elevation, while varying the streamflow of tributary Brier Creek had the least effect. Simulated water-surface elevations were lower than those modeled by the U.S. Forest Service using the standard-step method, but the comparison between the two was favorable with a mean absolute difference of 0.58 feet in Area C and 0.32 feet in Area D. Results of a HEC-RAS model of the Little Missouri River watershed upstream from the U.S. Geological Survey streamflow-gaging station near Langley showed no difference in mean depth in the areas in common between the models, and a difference in mean velocity of only 0.5 foot per second. Predictions of flooding that would result from streamflows corresponding to annual exceedence probabilities of 1 and 2 percent indicated that the extent of inundation of the June 11, 2010, flood exceeded that of the 1 percent flood, and that for both the 1 and 2 percent floods, all of Areas C and D, and parts of Areas A, B, and the Day Use Area were inundated. Predicted water-surface elevations for the 1 and 2 percent floods were approximately 1 foot lower than those predicted by the U.S. Forest Service using a standard-step model.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125274","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture-Forest Service","usgsCitation":"Wagner, D.M., 2013, Two-dimensional simulation of the June 11, 2010, flood of the Little Missouri River at Albert Pike Recreational Area, Ouachita National Forest, Arkansas: U.S. Geological Survey Scientific Investigations Report 2012-5274, vii, 28 p., https://doi.org/10.3133/sir20125274.","productDescription":"vii, 28 p.","numberOfPages":"35","ipdsId":"IP-040695","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":279068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125274.gif"},{"id":279066,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5274/pdf/sir2012-5274.pdf"},{"id":279067,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5274/"}],"country":"United States","state":"Arkansas","otherGeospatial":"Albert Pike Recreation Area;Little Missouri River;Ouachita National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.083333,34.333333 ], [ -94.083333,34.416667 ], [ -93.833333,34.416667 ], [ -93.833333,34.333333 ], [ -94.083333,34.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52860787e4b00926c2186553","contributors":{"authors":[{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486235,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70055718,"text":"sir20135056 - 2013 - Simulation of the June 11, 2010, flood along the Little Missouri River near Langley, Arkansas, using a hydrologic model coupled to a hydraulic model","interactions":[],"lastModifiedDate":"2013-11-14T08:31:39","indexId":"sir20135056","displayToPublicDate":"2013-11-14T09:55:00","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":"2013-5056","title":"Simulation of the June 11, 2010, flood along the Little Missouri River near Langley, Arkansas, using a hydrologic model coupled to a hydraulic model","docAbstract":"A substantial flood event occurred on June 11, 2010, causing the Little Missouri River to flow over much of the adjacent land area, resulting in catastrophic damages. Twenty fatalities occurred and numerous automobiles, cabins, and recreational vehicles were destroyed within the U.S. Department of Agriculture-Forest Service Albert Pike Recreation Area, at a dispersed campsite area in the surrounding Ouachita National Forest lands, and at a nearby privately owned camp. The Little Missouri River streamgage near Langley, Arkansas, reached a record streamflow of 70,800 cubic feet per second and a stage (water level) of 23.5 feet at 5:30 a.m., with a 10-foot rise occurring in slightly more than 1 hour.\nTo better understand the flood event on June 11, 2010, the U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture-Forest Service, developed a precipitation-runoff hydrologic model, U.S. Army Corps of Engineers Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), coupled with a one-dimensional unsteady-state hydraulic model, U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System (HEC-RAS), to simulate precipitation runoff and streamflow characteristics along the Little Missouri River and at various tributaries within the 68-square mile watershed upstream from the Langley streamgage.\nWithin the proximity of two campgrounds, the Little Missouri River just downstream from the confluence of Brier Creek had a peak simulated streamflow of 49,300 cubic feet per second at 4:08 a.m.; the simulated streamflow stayed within 500 cubic feet per second of the peak for nearly 15 minutes. The simulated water surface increased an average of 0.5 feet every 5 minutes for a total of 2 hours, with a maximum rate of rise of 2 feet in 15 minutes. The Little Missouri River just downstream from the confluence of Brier Creek had a peak simulated water-surface elevation of 935.0 feet, a maximum water depth of 22.2 feet, and a maximum stream channel velocity of 12.6 feet per second at 4:15 a.m.\nThe results from the precipitation-runoff hydrologic model, the one-dimensional unsteady-state hydraulic model, and a separate two-dimensional model developed as part of a coincident study, each complement the other in terms of streamflow timing, water-surface elevations, and velocities propagated by the June 11, 2010, flood event. The simulated grids for water depth and stream velocity from each model were directly compared by subtracting the one-dimensional hydraulic model grid from the two-dimensional model grid. The absolute mean difference for the simulated water depth was 0.9 foot. Additionally, the absolute mean difference for the simulated stream velocity was 1.9 feet per second.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135056","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture-Forest Service","usgsCitation":"Westerman, D.A., and Clark, B.R., 2013, Simulation of the June 11, 2010, flood along the Little Missouri River near Langley, Arkansas, using a hydrologic model coupled to a hydraulic model: U.S. Geological Survey Scientific Investigations Report 2013-5056, v, 34 p., https://doi.org/10.3133/sir20135056.","productDescription":"v, 34 p.","numberOfPages":"39","ipdsId":"IP-036686","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":279065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135056.gif"},{"id":279064,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5056/pdf/sir2013-5056.pdf"},{"id":279063,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5056/"}],"country":"United States","state":"Arkansas","otherGeospatial":"Langley;Little Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.05,34.3 ], [ -94.05,34.45 ], [ -93.85,34.45 ], [ -93.85,34.3 ], [ -94.05,34.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52860786e4b00926c218654a","contributors":{"authors":[{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":486233,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055547,"text":"sir20135177 - 2013 - Results of repeat bathymetric and velocimetric surveys at the Amelia Earhart Bridge on U.S. Highway 59 over the Missouri River at Atchison, Kansas, 2009-2013","interactions":[],"lastModifiedDate":"2013-11-13T10:10:47","indexId":"sir20135177","displayToPublicDate":"2013-11-13T08:25:00","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":"2013-5177","title":"Results of repeat bathymetric and velocimetric surveys at the Amelia Earhart Bridge on U.S. Highway 59 over the Missouri River at Atchison, Kansas, 2009-2013","docAbstract":"<p>Bathymetric and velocimetric data were collected six times by the U.S. Geological Survey, in cooperation with the Kansas Department of Transportation, in the vicinity of Amelia Earhart Bridge on U.S. Highway 59 over the Missouri River at Atchison, Kansas. A multibeam echosounder mapping system and an acoustic Doppler current meter were used to obtain channel-bed elevations and depth-averaged velocities for a river reach approximately 2,300 feet long and extending across the active channel of the Missouri River. The bathymetric and velocimetric surveys provide a “snapshot” of the channel conditions at the time of each survey, and document changes to the channel-bed elevations and velocities during the course of construction of a new bridge for U.S. Highway 59 downstream from the Amelia Earhart Bridge.</p>\n<br/>\n<p>The baseline survey in June 2009 revealed substantial scour holes existed at the railroad bridge piers upstream from and at pier 10 of the Amelia Earhart Bridge, with mostly uniform flow and velocities throughout the study reach. After the construction of a trestle and cofferdam on the left (eastern) bank downstream from the Amelia Earhart Bridge, a survey on June 2, 2010, revealed scour holes with similar size and shape as the baseline for similar flow conditions, with slightly higher velocities and a more substantial contraction of flow near the bridges than the baseline. Subsequent surveys during flooding conditions in June 2010 and July 2011 revealed substantial scour near the bridges compared to the baseline survey caused by the contraction of flow; however, the larger flood in July 2011 resulted in less scour than in June 2010, partly because the removal of the cofferdam for pier 5 of the new bridge in March 2011 diminished the contraction near the bridges. Generally, the downstream part of the study reach exhibited varying amounts of scour in all of the surveys except the last when compared to the baseline. During the final survey, velocities throughout the study area were the lowest of all the surveys, resulting in overall deposition throughout the reach compared to the baseline survey—despite the presence of the trestle in the final survey.</p>\n<br/>\n<p>The multiple surveys at the Amelia Earhart Bridge document the effects of moderate- to high-flow conditions on scour, compounded by the effects of adding and removing a constriction in the channel. Additional factors such as pier shape and angle of approach flow also were documented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135177","collaboration":"Prepared in cooperation with the Kansas Department of Transportation","usgsCitation":"Huizinga, R.J., 2013, Results of repeat bathymetric and velocimetric surveys at the Amelia Earhart Bridge on U.S. Highway 59 over the Missouri River at Atchison, Kansas, 2009-2013: U.S. Geological Survey Scientific Investigations Report 2013-5177, vi, 50 p., https://doi.org/10.3133/sir20135177.","productDescription":"vi, 50 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-049424","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":279044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135177.jpg"},{"id":279043,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5177/pdf/sir2013-5177.pdf"},{"id":279042,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5177/"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Kansas;Missouri","city":"Atchison;Ks;Winthrop;Mo","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.121111,39.552778 ], [ -95.121111,39.566667 ], [ -95.103611,39.566667 ], [ -95.103611,39.552778 ], [ -95.121111,39.552778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52849f71e4b063f258e574ba","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486139,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70055532,"text":"pp1798G - 2013 - Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011","interactions":[{"subject":{"id":70055532,"text":"pp1798G - 2013 - Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011","indexId":"pp1798G","publicationYear":"2013","noYear":false,"chapter":"G","title":"Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011"},"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":"2024-10-18T13:24:03.663628","indexId":"pp1798G","displayToPublicDate":"2013-11-12T15:53:00","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":"1798","chapter":"G","title":"Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011","docAbstract":"<p>Heavy snow and early spring rainfall generated substantial amounts of runoff and flooding in the upper part of the Missouri River Basin in 2011. Spring runoff in the upper and middle parts of the basin exceeded the storage capacity of the Missouri River reservoirs and unprecedented amounts of water were released into the lower parts of the basin resulting in record floods from June through September on the Missouri River in Iowa and Nebraska and extending into Kansas and Missouri. Runoff from the Missouri River Basin in April through September 2011 was 8,440,000 hectare meters (68,400,000 acre feet) and was only exceeded during flooding in 1993 when runoff was 11,200,000 hectare meters (90,700,000 acre feet).</p><p>Nitrate and total phosphorus concentrations in the Missouri River and selected tributaries in April through September, 2011 generally were within the expected range of concentrations measured during the last 30 years. Substantial discharge from the upper and middle parts of the Missouri River Basin resulted in nitrate concentrations decreasing in the lower Missouri River beginning in June. Concentrations of nitrate in water entering the Mississippi River from the Missouri River were less in 2011 than in 1993, but total phosphorus concentrations entering the Mississippi River were substantially greater in 2011 than in 1993.</p><p>The Missouri River transported an estimated 79,600&nbsp;megagrams of nitrate and 38,000 megagrams of total phosphorus to the Mississippi River from April through September 2011. The nitrate flux in 2011 was less than 20&nbsp;percent of the combined total from the Upper Mississippi and Missouri River Basins. In contrast, the total phosphorus flux of 38,000 megagrams from the Missouri River constituted about 39 percent of the combined total from the Upper Mississippi and Missouri River Basins during April through September&nbsp;2011.</p><p>Substantially more nitrate but less total phosphorus was transported from the Missouri River Basin during the historic 1993 than during the 2011 flood. Greater runoff from the lower part of the basin contributed to the greater nitrate transport in 1993. In addition to the differing amounts of runoff and the source of flood waters, changes in land use, and management practices are additional factors that may have contributed to the difference in nitrate and total phosphorus flux between the 1993 and 2011 floods.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798G","usgsCitation":"Kalkhoff, S.J., 2013, Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011: U.S. Geological Survey Professional Paper 1798, vi, 23 p., https://doi.org/10.3133/pp1798G.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-036576","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":279039,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798g.jpg"},{"id":279038,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798g/pdf/pp1798g.pdf"},{"id":279037,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798g/"}],"scale":"3000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Iowa, Kansas, Missouri, Nebraska","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.88203704920366,\n              42.873472900078355\n            ],\n            [\n              -98.88203704920366,\n              37.83096485479324\n            ],\n            [\n              -90.89487676250002,\n              37.83096485479324\n            ],\n            [\n              -90.89487676250002,\n              42.873472900078355\n            ],\n            [\n              -98.88203704920366,\n              42.873472900078355\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52834e06e4b047efbbb47bbb","contributors":{"authors":[{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486138,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048248,"text":"70048248 - 2013 - Quaternary ostracodes and molluscs from the Rukwa Basin (Tanzania) and their evolutionary and paleobiogeographic implications","interactions":[],"lastModifiedDate":"2018-03-23T12:23:18","indexId":"70048248","displayToPublicDate":"2013-11-12T11:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary ostracodes and molluscs from the Rukwa Basin (Tanzania) and their evolutionary and paleobiogeographic implications","docAbstract":"Much of the spectacular biodiversity of the African Great Lakes is endemic to single lake basins so that the margins of these basins or their lakes coincide with biogeographic boundaries. Longstanding debate surrounds the evolution of these endemic species, the stability of bioprovinces, and the exchange of faunas between them over geologic time as the rift developed. Because these debates are currently unsettled, we are uncertain of how much existing distribution patterns are determined by modern hydrological barriers versus reflecting past history. This study reports on late Quaternary fossils from the Rukwa Basin and integrates geological and paleoecological data to explore faunal exchange between freshwater bioprovinces, in particular with Lake Tanganyika. Lake Rukwa's water level showed large fluctuations over the last 25 ky, and for most of this period the lake contained large habitat diversity, with different species assemblages and taphonomic controls along its northern and southern shores. Comparison of fossil and modern invertebrate assemblages suggests faunal persistence through the Last Glacial Maximum, but with an extirpation event that occurred in the last 5 ky. Some of the molluscs and ostracodes studied here are closely related to taxa (or part of clades) that are currently endemic to Lake Tanganyika, but others testify to wider and perhaps older faunal exchanges between the Rukwa bioprovince and those of Lake Malawi and the Upper Congo (in particular Lake Mweru). The Rukwa Basin has a long history of rifting and lacustrine conditions and, at least temporarily, its ecosystems appear to have functioned as satellites to Lake Tanganyika in which intralacustrine speciation occurred. Paleontological studies of the Rukwa faunas are particularly relevant because of the basin's important role in the late Cenozoic biogeography of tropical Africa, and because many of the molecular traces potentially revealing this history would have been erased in the late Holocene extirpation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2013.09.007","usgsCitation":"Cohen, A.S., Van Bocxlaer, B., Todd, J.A., McGlue, M., Michel, E., Nkotagu, H.H., Grove, A., and Delvaux, D., 2013, Quaternary ostracodes and molluscs from the Rukwa Basin (Tanzania) and their evolutionary and paleobiogeographic implications: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 392, p. 79-97, https://doi.org/10.1016/j.palaeo.2013.09.007.","productDescription":"19 p.","startPage":"79","endPage":"97","numberOfPages":"19","ipdsId":"IP-045373","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":279009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279008,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2013.09.007"}],"otherGeospatial":"Lake Rukwa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 29.1544,-10.0021 ], [ 29.1544,-6.0538 ], [ 34.8123,-6.0538 ], [ 34.8123,-10.0021 ], [ 29.1544,-10.0021 ] ] ] } } ] }","volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52834e07e4b047efbbb47bcd","contributors":{"authors":[{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Bocxlaer, Bert","contributorId":43662,"corporation":false,"usgs":true,"family":"Van Bocxlaer","given":"Bert","email":"","affiliations":[],"preferred":false,"id":484146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Jonathan A.","contributorId":89795,"corporation":false,"usgs":true,"family":"Todd","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGlue, Michael","contributorId":77032,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","affiliations":[],"preferred":false,"id":484149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michel, Ellinor","contributorId":20639,"corporation":false,"usgs":true,"family":"Michel","given":"Ellinor","email":"","affiliations":[],"preferred":false,"id":484144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nkotagu, Hudson H.","contributorId":64146,"corporation":false,"usgs":true,"family":"Nkotagu","given":"Hudson","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grove, A.T.","contributorId":74282,"corporation":false,"usgs":true,"family":"Grove","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":484148,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delvaux, Damien","contributorId":39279,"corporation":false,"usgs":true,"family":"Delvaux","given":"Damien","email":"","affiliations":[],"preferred":false,"id":484145,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70055514,"text":"70055514 - 2013 - Quantifying groundwater’s role in delaying improvements to Chesapeake Bay water quality","interactions":[],"lastModifiedDate":"2021-02-04T19:13:08.761183","indexId":"70055514","displayToPublicDate":"2013-11-12T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying groundwater’s role in delaying improvements to Chesapeake Bay water quality","docAbstract":"<p><span>A study has been undertaken to determine the time required for the effects of nitrogen-reducing best management practices (BMPs) implemented at the land surface to reach the Chesapeake Bay via groundwater transport to streams. To accomplish this, a nitrogen mass-balance regression (NMBR) model was developed and applied to seven watersheds on the Delmarva Peninsula. The model included the distribution of groundwater return times obtained from a regional groundwater-flow (GWF) model, the history of nitrogen application at the land surface over the last century, and parameters that account for denitrification. The model was (1) able to reproduce nitrate concentrations in streams and wells over time, including a recent decline in the rate at which concentrations have been increasing, and (2) used to forecast future nitrogen delivery from the Delmarva Peninsula to the Bay given different scenarios of nitrogen load reduction to the water table. The relatively deep porous aquifers of the Delmarva yield longer groundwater return times than those reported earlier for western parts of the Bay watershed. Accordingly, several decades will be required to see the full effects of current and future BMPs. The magnitude of this time lag is critical information for Chesapeake Bay watershed managers and stakeholders.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es401334k","usgsCitation":"Sanford, W.E., and Pope, J.P., 2013, Quantifying groundwater’s role in delaying improvements to Chesapeake Bay water quality: Environmental Science & Technology, v. 47, no. 23, p. 13330-13338, https://doi.org/10.1021/es401334k.","productDescription":"9 p.","startPage":"13330","endPage":"13338","numberOfPages":"9","ipdsId":"IP-049267","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":473448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es401334k","text":"Publisher Index Page"},{"id":279000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.9797,36.9078 ], [ -76.9797,39.7787 ], [ -74.4378,39.7787 ], [ -74.4378,36.9078 ], [ -76.9797,36.9078 ] ] ] } } ] }","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"52834e07e4b047efbbb47bc7","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":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70049043,"text":"sir20135159 - 2013 - Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin","interactions":[],"lastModifiedDate":"2013-11-12T09:35:51","indexId":"sir20135159","displayToPublicDate":"2013-11-12T09:28:00","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":"2013-5159","title":"Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin","docAbstract":"Although groundwater and surface water are considered a single resource, historically hydrologic simulations have not accounted for feedback loops between the groundwater system and other hydrologic processes. These feedbacks include timing and rates of evapotranspiration, surface runoff, soil-zone flow, and interactions with the groundwater system. Simulations that iteratively couple the surface-water and groundwater systems, however, are characterized by long run times and calibration challenges. In this study, calibrated, uncoupled transient surface-water and steady-state groundwater models were used to construct one coupled transient groundwater/surface-water model for the Trout Lake Watershed in north-central Wisconsin, USA. The computer code GSFLOW (Ground-water/Surface-water FLOW) was used to simulate the coupled hydrologic system; a surface-water model represented hydrologic processes in the atmosphere, at land surface, and within the soil-zone, and a groundwater-flow model represented the unsaturated zone, saturated zone, stream, and lake budgets. The coupled GSFLOW model was calibrated by using heads, streamflows, lake levels, actual evapotranspiration rates, solar radiation, and snowpack measurements collected during water years 1998–2007; calibration was performed by using advanced features present in the PEST parameter estimation software suite.\n\nSimulated streamflows from the calibrated GSFLOW model and other basin characteristics were used as input to the one-dimensional SNTEMP (Stream-Network TEMPerature) model to simulate daily stream temperature in selected tributaries in the watershed. The temperature model was calibrated to high-resolution stream temperature time-series data measured in 2002. The calibrated GSFLOW and SNTEMP models were then used to simulate effects of potential climate change for the period extending to the year 2100. An ensemble of climate models and emission scenarios was evaluated. Downscaled climate drivers for the period 2010–2100 showed increases in maximum and minimum temperature over the scenario period. Scenarios of future precipitation did not show a monotonic trend like temperature. Uncertainty in the climate drivers increased over time for both temperature and precipitation.\n\nSeparate calibration of the uncoupled groundwater and surface-water models did not provide a representative initial parameter set for coupled model calibration. A sequentially linked calibration, in which the uncoupled models were linked by means of utility software, provided a starting parameter set suitable for coupled model calibration. Even with sequentially linked calibration, however, transmissivity of the lower part of the aquifer required further adjustment during coupled model calibration to attain reasonable parameter values for evaporation rates off a small seepage lake (a lake with no appreciable surface-water outlets) with a long history of study. The resulting coupled model was well calibrated to most types of observed time-series data used for calibration. Daily stream temperatures measured during 2002 were successfully simulated with SNTEMP; the model fit was acceptable for a range of groundwater inflow rates into the streams.\n\nForecasts of potential climate change scenarios showed growing season length increasing by weeks, and both potential and actual evapotranspiration rates increasing appreciably, in response to increasing air temperature. Simulated actual evapotranspiration rates increased less than simulated potential evapotranspiration rates as a result of water limitation in the root zone during the summer high-evapotranspiration period. The hydrologic-system response to climate change was characterized by a reduction in the importance of the snow-melt pulse and an increase in the importance of fall and winter groundwater recharge. The less dynamic hydrologic regime is likely to result in drier soil conditions in rainfed wetlands and uplands, in contrast to less drying in groundwater-fed systems. Seepage lakes showed larger forecast stage declines related to climate change than did drainage lakes (lakes with outlet streams). Seepage lakes higher in the watershed (nearer to groundwater divides) had less groundwater inflow and thus had larger forecast declines in lake stage; however, ground-water inflow to seepage lakes in general tended to increase as a fraction of the lake budgets with lake-stage decline because inward hydraulic gradients increased. Drainage lakes were characterized by less simulated stage decline as reductions in outlet streamflow of set losses to other water flows. Net groundwater inflow tended to decrease in drainage lakes over the scenario period.\n\nSimulated stream temperatures increased appreciably with climate change. The estimated increase in annual average temperature ranged from approximately 1 to 2 degrees Celsius by 2100 in the stream characterized by a high groundwater inflow rate and 2 to 3 degrees Celsius in the stream with a lower rate. The climate drivers used for the climate-change scenarios had appreciable variation between the General Circulation Model and emission scenario selected; this uncertainty was reflected in hydrologic flow and temperature model results. Thus, as with all forecasts of this type, the results are best considered to approximate potential outcomes of climate change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135159","collaboration":"Groundwater Resources Program; Climate and Land Use Change Research & Development","usgsCitation":"Hunt, R.J., Walker, J.F., Selbig, W.R., Westenbroek, S.M., and Regan, R.S., 2013, Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2013-5159, vi, 118 p., https://doi.org/10.3133/sir20135159.","productDescription":"vi, 118 p.","numberOfPages":"128","temporalStart":"1998-01-01","temporalEnd":"2007-12-31","ipdsId":"IP-050362","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":278998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135159.jpg"},{"id":278996,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5159/"},{"id":278997,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5159/pdf/sir2013-5159.pdf"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Trout Lake Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.733333,45.133333 ], [ -89.733333,46.133333 ], [ -89.533333,46.133333 ], [ -89.533333,45.133333 ], [ -89.733333,45.133333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52834e08e4b047efbbb47bd3","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":2633,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":486069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048852,"text":"ds769 - 2013 - Topobathymetric model of Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2017-03-27T15:27:07","indexId":"ds769","displayToPublicDate":"2013-11-08T11:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"769","title":"Topobathymetric model of Mobile Bay, Alabama","docAbstract":"Topobathymetric Digital Elevation Models (DEMs) are a merged rendering of both topography (land elevation) and bathymetry (water depth) that provides a seamless elevation product useful for inundation mapping, as well as for other earth science applications, such as the development of sediment-transport, sea-level rise, and storm-surge models. This 1/9-arc-second (approximately 3 meters) resolution model of Mobile Bay, Alabama was developed using multiple topographic and bathymetric datasets, collected on different dates. The topographic data were obtained primarily from the U.S. Geological Survey (USGS) National Elevation Dataset (NED) (http://ned.usgs.gov/) at 1/9-arc-second resolution; USGS Experimental Advanced Airborne Research Lidar (EAARL) data (2 meters) (http://pubs.usgs.gov/ds/400/); and topographic lidar data (2 meters) and Compact Hydrographic Airborne Rapid Total Survey (CHARTS) lidar data (2 meters) from the U.S. Army Corps of Engineers (USACE) (http://www.csc.noaa.gov/digitalcoast/data/coastallidar/). Bathymetry was derived from digital soundings obtained from the National Oceanic and Atmospheric Administration’s (NOAA) National Geophysical Data Center (NGDC) (http://www.ngdc.noaa.gov/mgg/geodas/geodas.html) and from water-penetrating lidar sources, such as EAARL and CHARTS.\n\nMobile Bay is ecologically important as it is the fourth largest estuary in the United States. The Mobile and Tensaw Rivers drain into the bay at the northern end with the bay emptying into the Gulf of Mexico at the southern end. Dauphin Island (a barrier island) and the Fort Morgan Peninsula form the mouth of Mobile Bay. Mobile Bay is 31 miles (50 kilometers) long by a maximum width of 24 miles (39 kilometers) with a total area of 413 square miles (1,070 square kilometers).\n\nThe vertical datum of the Mobile Bay topobathymetric model is the North American Vertical Datum of 1988 (NAVD 88). All the topographic datasets were originally referenced to NAVD 88 and no transformations were made to these input data. The NGDC hydrographic, multibeam, and trackline surveys were transformed from mean low water (MLW) or mean lower low water (MLLW) to NAVD 88 using VDatum (http://vdatum.noaa.gov). VDatum is a tool developed by the National Geodetic Survey (NGS) that performs transformations among tidal, ellipsoid-based, geoid-based, and orthometric datums using calibrated hydrodynamic models. The vertical accuracy of the input topographic data varied depending on the input source. Because the input elevation data were derived primarily from lidar, the vertical accuracy ranges from 6 to 20 centimeters in root mean square error (RMSE).\n\nhe horizontal datum of the Mobile Bay topobathymetric model is the North American Datum of 1983 (NAD 83), geographic coordinates. All the topographic and bathymetric datasets were originally referenced to NAD 83, and no transformations were made to the input data. The bathymetric surveys were downloaded referenced to NAD 83 geographic, and therefore no horizontal transformations were required. The topbathymetric model of Mobile Bay and detailed metadata can be obtained from the USGS Web sites: http://nationalmap.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds769","usgsCitation":"Danielson, J.J., Brock, J., Howard, D., Gesch, D.B., Bonisteel-Cormier, J.M., and Travers, L.J., 2013, Topobathymetric model of Mobile Bay, Alabama: U.S. Geological Survey Data Series 769, 6 Plates: 38.17 x 33.59 inches; Downloads Directory, https://doi.org/10.3133/ds769.","productDescription":"6 Plates: 38.17 x 33.59 inches; Downloads Directory","ipdsId":"IP-038535","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":278975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds769.gif"},{"id":278892,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/769/"},{"id":278972,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_nw-mobilebay-mapsheet.pdf","text":"Sheet 1: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278969,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_5-SCtr_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 5: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278970,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_6-SE_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 6: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278968,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_4-SW_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 4: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278971,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_nctr-mobilebay-mapsheet.pdf","text":"Sheet 2: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278973,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_3-NE_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 3: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278974,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/769/Downloads/"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.230932,30.203506 ], [ -88.230932,30.858225 ], [ -87.80086,30.858225 ], [ -87.80086,30.203506 ], [ -88.230932,30.203506 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e0805e4b02d2057dcf1be","contributors":{"authors":[{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":485742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":485739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":97795,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","affiliations":[],"preferred":false,"id":485744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":485740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel-Cormier, Jamie M.","contributorId":18085,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":485741,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048695,"text":"70048695 - 2013 - Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","interactions":[],"lastModifiedDate":"2017-10-12T20:18:05","indexId":"70048695","displayToPublicDate":"2013-11-08T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","docAbstract":"Karst aquifers and springs provide the dissolved oxygen critical for survival of endemic stygophiles worldwide, but little is known about fluctuations of dissolved oxygen concentrations (DO) and factors that control those concentrations. We investigated temporal variation in DO at Barton Springs, Austin, Texas, USA. During 2006–2012, DO fluctuated by as much as a factor of 2, and at some periods decreased to concentrations that adversely affect the Barton Springs salamander (Eurycea sorosum) (&le;4.4 mg/L), a federally listed endangered species endemic to Barton Springs. DO was lowest (&le;4.4 mg/L) when discharge was low (&le;1 m<sup>3</sup>/s) and spring water temperature was >21 °C, although not at a maximum; the minimum DO recorded was 4.0 mg/L. Relatively low DO (<6 mg/L) also was measured at relatively high discharge (3.2 m<sup>3</sup>/s) and maximum T (22.2 °C). A four-segment linear regression model with daily data for discharge and spring water temperature as explanatory variables provided an excellent fit for mean daily DO (Nash–Sutcliffe coefficient for the validation period of 0.90). DO also fluctuated at short-term timescales in response to storms, and DO measured at 15-min intervals could be simulated with a combination of discharge, spring temperature, and specific conductance as explanatory variables. On the basis of the daily-data regression model, we hypothesize that more frequent low DO corresponding to salamander mortality could result from (i) lower discharge from Barton Springs resulting from increased groundwater withdrawals or decreased recharge as a result of climate change, and (or) (ii) higher groundwater temperature as a result of climate change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.10.004","usgsCitation":"Mahler, B., and Bourgeais, R., 2013, Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA: Journal of Hydrology, v. 505, p. 291-298, https://doi.org/10.1016/j.jhydrol.2013.10.004.","productDescription":"8 p.","startPage":"291","endPage":"298","ipdsId":"IP-043691","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":278958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Barton Springs, Edwards Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.47,29.2 ], [ -100.47,30.76 ], [ -97.57,30.76 ], [ -97.57,29.2 ], [ -100.47,29.2 ] ] ] } } ] }","volume":"505","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e07e1e4b02d2057dcf0ef","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourgeais, Renan","contributorId":13522,"corporation":false,"usgs":true,"family":"Bourgeais","given":"Renan","email":"","affiliations":[],"preferred":false,"id":485450,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70158662,"text":"70158662 - 2013 - Pesticides in amphibian habitats of Central and Northern California, USA","interactions":[],"lastModifiedDate":"2016-08-31T11:25:53","indexId":"70158662","displayToPublicDate":"2013-11-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pesticides in amphibian habitats of Central and Northern California, USA","docAbstract":"<p>Previous studies have indicated that toxicity from pesticide exposure may be contributing to amphibian declines in California and that atmospheric deposition could be a primary pathway for pesticides to enter amphibian habitats. We report on a survey of California wetlands sampled along transects associated with Lassen Volcanic National Park, Lake Tahoe, Yosemite National Park, and Sequoia National Park. Each transect ran from the Pacific coast to the Cascades or Sierra Nevada mountains. Pacific chorus frogs (Pseudacris regilla), water, and sediment were collected from wetlands in 2001 and 2002. Twenty-three pesticides were found in frog, water, or sediment samples. Six contaminants including trifluralin, &alpha;-endosulfan, chlordanes, and trans-nonachlor were found in adult P. regilla. Seventeen contaminants were found in sediments, including endosulfan sulfate, chlordanes, 1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene (4,4&prime;-DDE), and chlorpyrifos. The mean number of chemicals detected per pond in sediments was 2.4 (2.5, standard deviation). In water, 17 chemicals were detected, with &beta;-endosulfan being present in almost all samples. Trifluralin, chlordanes, and chlorpyrifos were the next most common. The mean number of chemicals in water per pond was 7.8 (2.9). With the possible exception of chlorpyrifos oxon in sediments and total endosulfans, none of the contaminants exceeded known lethal or sublethal concentrations in P. regilla tissue. Endosulfans, chlorpyrifos, and trifluralin were associated with historic and present day population status of amphibians. Cholinesterase, an essential neurological enzyme that can be depressed by certain pesticides, was reduced in tadpoles from areas with the greatest population declines.</p>","largerWorkTitle":"Occurrence, fate and impact of atmospheric pollutants on environmental and human health","language":"English","publisher":"ACS Publications","doi":"10.1021/bk-2013-1149","collaboration":"USDA","usgsCitation":"Fellers, G.M., Sparling, W., McConnell, L., Kleeman, P.M., and Drakeford, L., 2013, Pesticides in amphibian habitats of Central and Northern California, USA, chap. <i>of</i> Occurrence, fate and impact of atmospheric pollutants on environmental and human health, v. 1149, p. 123-150, https://doi.org/10.1021/bk-2013-1149.","productDescription":"28 p.","startPage":"123","endPage":"150","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016890","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473449,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://pubs.acs.org/isbn/9780841228900","text":"External Repository"},{"id":328114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1149","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"57c7ffbde4b0f2f0cebfc31f","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":576391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparling, W","contributorId":148993,"corporation":false,"usgs":false,"family":"Sparling","given":"W","email":"","affiliations":[{"id":17610,"text":"S IL U, Coop Wildlife Res Lab","active":true,"usgs":false}],"preferred":false,"id":576393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McConnell, Laura","contributorId":57411,"corporation":false,"usgs":true,"family":"McConnell","given":"Laura","affiliations":[],"preferred":false,"id":576392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":576394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drakeford, Leticia","contributorId":148994,"corporation":false,"usgs":false,"family":"Drakeford","given":"Leticia","email":"","affiliations":[{"id":5108,"text":"U.S. Department of Agriculture Forest Service, Rocky Mountain Research Station, Missoula, Montana 59","active":true,"usgs":false}],"preferred":false,"id":576395,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048860,"text":"ofr20131251 - 2013 - Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","interactions":[],"lastModifiedDate":"2013-11-14T17:26:26","indexId":"ofr20131251","displayToPublicDate":"2013-11-07T10:19:00","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":"2013-1251","title":"Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","docAbstract":"The Everglades Depth Estimation Network is an integrated network of real-time water-level gaging stations, a \nground-elevation model, and a water-surface elevation model \ndesigned to provide scientists, engineers, and water-resource \nmanagers with water-level and water-depth information \n(1991-2013) for the entire freshwater portion of the Greater \nEverglades. The U.S. Geological Survey Greater Everglades \nPriority Ecosystems Science provides support for the Everglades Depth Estimation Network in order for the Network \nto provide quality-assured monitoring data for the U.S. Army \nCorps of Engineers Comprehensive Everglades Restoration \nPlan. In a previous study, water-level estimation equations \nwere developed to fill in missing data to increase the accuracy of the daily water-surface elevation model. During this \nstudy, those equations were updated because of the addition \nand removal of water-level gaging stations, the consistent use \nof water-level data relative to the North American Vertical \nDatum of 1988, and availability of recent data (March 1, 2006, \nto September 30, 2011). Up to three linear regression equations were developed for each station by using three different \ninput stations to minimize the occurrences of missing data \nfor an input station. Of the 667 water-level estimation equations developed to fill missing data at 223 stations, more than \n72 percent of the equations have coefficients of determination \ngreater than 0.90, and 97 percent have coefficients of determination greater than 0.70.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131251","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Petkewich, M.D., and Conrads, P., 2013, Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update: U.S. Geological Survey Open-File Report 2013-1251, iv, 45 p., https://doi.org/10.3133/ofr20131251.","productDescription":"iv, 45 p.","numberOfPages":"49","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":278909,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1251/"},{"id":278910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131251.jpg"},{"id":278908,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1251/pdf/of2013-1251.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.8106,25.1872 ], [ -81.8106,26.3864 ], [ -80.0415,26.3864 ], [ -80.0415,25.1872 ], [ -81.8106,25.1872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb931e4b0850ea050a8cf","contributors":{"authors":[{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048858,"text":"fs20133072 - 2013 - U.S. Geological Survey water resources Internet tools","interactions":[],"lastModifiedDate":"2017-01-27T11:02:32","indexId":"fs20133072","displayToPublicDate":"2013-11-07T09:35:00","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":"2013-3072","title":"U.S. Geological Survey water resources Internet tools","docAbstract":"<p>The U.S. Geological Fact Sheet (USGS) provides a wealth of information on hydrologic data, maps, graphs, and other resources for your State.</p><p>Sources of water resources information are listed below.</p><p><a href=\"http://waterwatch.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://waterwatch.usgs.gov/\">WaterWatch</a></p><p><a href=\"http://waterwatch.usgs.gov/wqwatch\" target=\"_blank\" data-mce-href=\"http://waterwatch.usgs.gov/wqwatch\">WaterQualityWatch</a></p><p><a href=\"http://groundwaterwatch.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://groundwaterwatch.usgs.gov/\">Groundwater Watch</a></p><p><a href=\"http://water.usgs.gov/waternow/\" target=\"_blank\" data-mce-href=\"http://water.usgs.gov/waternow/\">WaterNow</a></p><p><a href=\"http://water.usgs.gov/wateralert/\" target=\"_blank\" data-mce-href=\"http://water.usgs.gov/wateralert/\">WaterAlert</a></p><p><a href=\"http://wim.usgs.gov/FIMI/\" target=\"_blank\" data-mce-href=\"http://wim.usgs.gov/FIMI/\">USGS Flood Inundation Mapper</a></p><p><a href=\"http://waterdata.usgs.gov/nwis\" target=\"_blank\" data-mce-href=\"http://waterdata.usgs.gov/nwis\">National Water Information System (NWIS)</a></p><p><a href=\"http://streamstats.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://streamstats.usgs.gov/\">StreamStats</a></p><p><a href=\"http://cida.usgs.gov/nawqa_www/nawqa_data_redirect.html?p=nawqa:\" target=\"_blank\" data-mce-href=\"http://cida.usgs.gov/nawqa_www/nawqa_data_redirect.html?p=nawqa:\">National Water Quality Assessment (NAWOA)</a></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133072","usgsCitation":"Shaffer, K.H., 2016, U.S. Geological Survey water resources Internet tools (ver. 1.1 August 2016): U.S. Geological Survey Fact 2013–3072, 2 p., https://dx.doi.org/10.3133/fs20133072.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278898,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3072/pdf/fs20133072.pdf","size":"6.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2013-3072"},{"id":325346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2013/3072/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2013-3072"},{"id":278899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3072/index.html","description":"FS 2013-3072"},{"id":278900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2013/3072/images/coverthbr.jpg"}],"edition":"Version 1.0: Originally posted November 7, 2013; Version 1.1: August 10, 2016","contact":"<p>Office of Surface Water<br> U.S. Geological Survey<br> 415 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192<br> <a href=\"http://water.usgs.gov/osw/\" data-mce-href=\"http://water.usgs.gov/osw/\">http://water.usgs.gov/osw/</a></p>","publishedDate":"2013-11-07","revisedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"527cb954e4b0850ea050a8d8","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":485755,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048857,"text":"ofr20131087 - 2013 - Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","interactions":[],"lastModifiedDate":"2013-11-14T16:11:31","indexId":"ofr20131087","displayToPublicDate":"2013-11-07T08:22:00","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":"2013-1087","title":"Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","docAbstract":"Research on the hydrogeologic setting of Mirror Lake near West Thornton, New Hampshire (43° 56.5’ N, 71° 41.5’ W), includes the study of the physical, chemical, and isotopic characteristics of groundwater in the vicinity of the lake and nearby Hubbard Brook. Presented here are those physical, chemical, and isotopic data for the period 1983 to 1997. Data were collected from observation wells installed in glacial drift and bedrock, as well as from one domestic well in the general area of the lake and Hubbard Brook. Also presented are data for Mirror Lake for August 1, 1993, to place groundwater data in context with chemical and isotopic characteristics of the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131087","collaboration":"Prepared in cooperation with the Institute of Ecosystem Studies","usgsCitation":"LaBaugh, J.W., Harte, P.T., Shapiro, A.M., Hsieh, P.A., Johnson, C.D., Goode, D., Wood, W., Buso, D.C., Likens, G.E., and Winter, T.C., 2013, Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997: U.S. Geological Survey Open-File Report 2013-1087, viii, 147 p., https://doi.org/10.3133/ofr20131087.","productDescription":"viii, 147 p.","numberOfPages":"155","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":278895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131087.gif"},{"id":278893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1087/"},{"id":278894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1087/pdf/of2013-1087.pdf"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake;West Thornton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.847,43.852 ], [ -71.847,44.03 ], [ -71.560,44.03 ], [ -71.560,43.852 ], [ -71.847,43.852 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb954e4b0850ea050a8d5","contributors":{"authors":[{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":485746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":485749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":485747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Warren W.","contributorId":47770,"corporation":false,"usgs":false,"family":"Wood","given":"Warren W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":485752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buso, Donald C.","contributorId":33212,"corporation":false,"usgs":true,"family":"Buso","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Likens, Gene E.","contributorId":56363,"corporation":false,"usgs":true,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":485753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Winter, Thomas C.","contributorId":84736,"corporation":false,"usgs":true,"family":"Winter","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485754,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048835,"text":"70048835 - 2013 - Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","interactions":[],"lastModifiedDate":"2013-11-06T13:40:53","indexId":"70048835","displayToPublicDate":"2013-11-06T13:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","docAbstract":"The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped using oil absorption features in pixel spectra and used to examine impact of oil along the oiled shorelines. Results showed that vegetation stress was restricted to the tidal zone extending 14 m inland from the shoreline in September 2010. Four indexes of plant stress and three indexes of canopy water content all consistently showed that stress was highest in pixels next to the shoreline and decreased with increasing distance from the shoreline. Index values along the oiled shoreline were significantly lower than those along the oil-free shoreline. Regression of index values with respect to distance from oil showed that in 2011, index values were no longer correlated with proximity to oil suggesting that the marsh was on its way to recovery. Change detection between the two dates showed that areas denuded of vegetation after the oil impact experienced varying degrees of re-vegetation in the following year. This recovery was poorest in the first three pixels adjacent to the shoreline. This study illustrates the usefulness of high spatial resolution airborne imaging spectroscopy to map actual locations where oil from the spill reached the shore and then to assess its impacts on the plant community. We demonstrate that post-oiling trends in terms of plant health and mortality could be detected and monitored, including recovery of these saltmarsh meadows one year after the oil spill.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0078989","usgsCitation":"Khanna, S., Santos, M.J., Ustin, S.L., Koltunov, A., Kokaly, R., and Roberts, D.A., 2013, Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data: PLoS ONE, v. 8, no. 11, 13 p., https://doi.org/10.1371/journal.pone.0078989.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-049577","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0078989","text":"Publisher Index Page"},{"id":278888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0078989"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bataria Bay;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0325,28.5459 ], [ -92.0325,30.1333 ], [ -87.6819,30.1333 ], [ -87.6819,28.5459 ], [ -92.0325,28.5459 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-05","publicationStatus":"PW","scienceBaseUri":"527b650de4b0a7295d9b55dd","contributors":{"authors":[{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":485734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, Maria J.","contributorId":49694,"corporation":false,"usgs":true,"family":"Santos","given":"Maria","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":485732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koltunov, Alexander","contributorId":73912,"corporation":false,"usgs":true,"family":"Koltunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":485735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":485736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048819,"text":"fs20133098 - 2013 - Asian carp behavior in response to static water gun firing","interactions":[],"lastModifiedDate":"2013-11-14T17:42:56","indexId":"fs20133098","displayToPublicDate":"2013-11-06T12:33:00","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":"2013-3098","title":"Asian carp behavior in response to static water gun firing","docAbstract":"The potential for invasion of Asian carp into the Great Lakes has ecological and socio-economic implications. If they become established, Asian carp are predicted to alter lake ecosystems and impact commercial and recreational fisheries. The Chicago Sanitary and Shipping Canal is an important biological conduit between the Mississippi River Basin, where invasive Asian carp are abundant, and the Great Lakes. Millions of dollars have been spent to erect an electric barrier defense in the canal to prevent movement of Asian carp into the Great Lakes, but the need for additional fish deterrent technologies to supplement the existing barrier is warranted. Scientists with the U.S. Geological Survey Northern Rocky Mountain Science Center are examining seismic water gun technology, formerly used in oceanic oil exploration, as a fish deterrent. The goal of the current study is to employ telemetry and sonar monitoring equipment to assess the behavioral response of Asian carp to seismic water guns and the sound energy it generates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133098","usgsCitation":"Layhee, M.J., Gross, J.A., Parsley, M.J., Romine, J.G., Glover, D.C., Suski, C.D., Wagner, T.L., Sepulveda, A., and Gresswell, R., 2013, Asian carp behavior in response to static water gun firing: U.S. Geological Survey Fact Sheet 2013-3098, 4 p., https://doi.org/10.3133/fs20133098.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-042911","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":278881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133098.jpg"},{"id":278880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3098/pdf/fs2013-3098.pdf"},{"id":278879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3098/"}],"country":"United States","state":"Illinois","city":"Morris;Illinois","otherGeospatial":"Chicago Sanitary And Shipping Canal;Great Lakes;Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5739,41.2942 ], [ -88.5739,41.8582 ], [ -87.4094,41.8582 ], [ -87.4094,41.2942 ], [ -88.5739,41.2942 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b64dee4b0a7295d9b5521","contributors":{"authors":[{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glover, David C.","contributorId":103562,"corporation":false,"usgs":true,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tristany L.","contributorId":32442,"corporation":false,"usgs":true,"family":"Wagner","given":"Tristany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gresswell, Robert E.","contributorId":13194,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert E.","affiliations":[],"preferred":false,"id":485713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048808,"text":"70048808 - 2013 - Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","interactions":[],"lastModifiedDate":"2013-11-06T10:24:19","indexId":"70048808","displayToPublicDate":"2013-11-06T10:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","docAbstract":"The timing of ice-out in high latitudes is a fundamental threshold for lake ecosystems and an indicator of climate change. In lake-rich regions, the loss of ice cover also plays a key role in landscape and climatic processes. Thus, there is a need to understand lake ice phenology at multiple scales. In this study, we observed ice-out timing on 55 large lakes in 11 lake districts across Alaska from 2007 to 2012 using satellite imagery. Sensor networks in two lake districts validated satellite observations and provided comparison with smaller lakes. Over this 6 yr period, the mean lake ice-out for all lakes was 27 May and ranged from 07 May in Kenai to 06 July in Arctic Coastal Plain lake districts with relatively low inter-annual variability. Approximately 80% of the variation in ice-out timing was explained by the date of 0°C air temperature isotherm and lake area. Shoreline irregularity, watershed area, and river connectivity explained additional variation in some districts. Coherence in ice-out timing within the lakes of each district was consistently strong over this 6 yr period, ranging from r-values of 0.5 to 0.9. Inter-district analysis of coherence also showed synchronous ice-out patterns with the exception of the two arctic coastal districts where ice-out occurs later (June–July) and climatology is sea-ice influenced. These patterns of lake ice phenology provide a spatially extensive baseline describing short-term temporal variability, which will help decipher longer term trends in ice phenology and aid in representing the role of lake ice in land and climate models in northern landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for the Sciences of Limnology and Oceonography","doi":"10.4319/lo.2013.58.6.2013","usgsCitation":"Arp, C.D., Jones, B.M., and Grosse, G., 2013, Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.: Limnology and Oceanography, v. 58, no. 6, p. 2013-2028, https://doi.org/10.4319/lo.2013.58.6.2013.","productDescription":"16 p.","startPage":"2013","endPage":"2028","numberOfPages":"16","ipdsId":"IP-049175","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2013.58.6.2013","text":"Publisher Index Page"},{"id":278877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2013.58.6.2013"}],"country":"United States","state":"Alaska","otherGeospatial":"Ahtna;Arctic Coastal Plain;Beringia;Denali;Kenai;Koyukuk;Matanuska-susitna;Minto Flats;Tetlin;Yukon Flats;Yukon-kuskokwim Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.91,53.93 ], [ -179.91,72.18 ], [ -129.9,72.18 ], [ -129.9,53.93 ], [ -179.91,53.93 ] ] ] } } ] }","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-21","publicationStatus":"PW","scienceBaseUri":"527b6510e4b0a7295d9b55f0","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":485683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048809,"text":"ds792 - 2013 - Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","interactions":[],"lastModifiedDate":"2026-05-20T19:14:11.090723","indexId":"ds792","displayToPublicDate":"2013-11-06T08:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"792","title":"Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","docAbstract":"The U.S. Geological Survey performed multibeam echosounder hydrographic surveys of four narrows in the Namakan reservoir system in August 2011, in cooperation with the International Joint Commission and Environment Canada. The data-collection effort was completed to provide updated and detailed hydrographic data to Environment Canada for inclusion in a Hydrologic Engineering Centers River Analysis System hydraulic model. The Namakan reservoir system is composed of Namakan, Kabetogama, Sand Point, Crane, and Little Vermilion Lakes. Water elevations in the Namakan reservoir system are regulated according to rule curves, or guidelines for water-level management based on the time of year, established by the International Joint Commission. Water levels are monitored by established gages on Crane Lake and the outlet of Namakan Lake at Kettle Falls, but water elevations throughout the system may deviate from these measured values by as much as 0.3 meters, according to lake managers and residents. Deviations from expected water elevations may be caused by between-lake constrictions (narrows). According to the 2000 Rule Curve Assessment Workgroup, hydrologic models of the reservoir system are needed to better understand the system and to evaluate the recent changes made to rule curves in 2000. \nHydrographic surveys were performed using a RESON SeaBat™7125 multibeam echosounder system. Surveys were completed at Namakan Narrows, Harrison Narrows, King Williams Narrows, and Little Vermilion Narrows. Hydrographic survey data were processed using Caris HIPS<sup>TM</sup> and SIPS<sup>TM</sup> software that interpolated a combined uncertainty and bathymetric estimator (CUBE) surface. Quality of the survey results was evaluated in relation to standards set by the International Hydrographic Organization (IHO) for describing the uncertainty of hydrographic surveys. More than 90 percent of the surveyed areas at the four narrows have resulting bed elevations that meet the IHO “Special Order” quality. Survey datasets published in this report are formatted as text files of x-y-z coordinates and as CARIS Spatial Archive<sup>TM</sup> (CSAR<sup>TM</sup>) files with corresponding metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds792","collaboration":"Prepared in cooperation with the International Joint Commission and Environment Canada","usgsCitation":"Densmore, B.K., Strauch, K.R., and Ziegeweid, J.R., 2013, Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011: U.S. Geological Survey Data Series 792, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ds792.","productDescription":"Report: iv, 12 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-041944","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":504582,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99273.htm","linkFileType":{"id":5,"text":"html"}},{"id":278870,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/792/"},{"id":278869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/792/pdf/ds792.pdf"},{"id":278871,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/792/downloads/"},{"id":278872,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds792.gif"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.760315,48.145931 ], [ -92.760315,48.466548 ], [ -92.397766,48.466548 ], [ -92.397766,48.145931 ], [ -92.760315,48.145931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b650fe4b0a7295d9b55e6","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485687,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101798,"text":"70101798 - 2013 - Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","interactions":[],"lastModifiedDate":"2022-04-13T17:03:52.638666","indexId":"70101798","displayToPublicDate":"2013-11-05T13:53:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","docAbstract":"<p><span>We illustrate the ability to monitor the status of snow water content over large areas by using a spatially distributed snow accumulation and ablation model that uses data from a weather forecast model in the upper Colorado Basin. The model was forced with precipitation fields from the National Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining meteorological model input data were from NOAA's Global Forecast System (GFS) model output fields. The simulated snow water equivalent (SWE) was compared to SWEs from the Snow Data Assimilation System (SNODAS) and SNOwpack TELemetry system (SNOTEL) over a region of the western US that covers parts of the upper Colorado Basin. We also compared the SWE product estimated from the special sensor microwave imager (SSM/I) and scanning multichannel microwave radiometer (SMMR) to the SNODAS and SNOTEL SWE data-sets. Agreement between the spatial distributions of the simulated SWE with MPE data was high with both SNODAS and SNOTEL. Model-simulated SWE with TRMM precipitation and SWE estimated from the passive microwave imagery were not significantly correlated spatially with either SNODAS or the SNOTEL SWE. Average basin-wide SWE simulated with the MPE and the TRMM data were highly correlated with both SNODAS (</span><i>r</i><span>&nbsp;= 0.94 and&nbsp;</span><i>r</i><span>&nbsp;= 0.64; d.f. = 14 – d.f. = degrees of freedom) and SNOTEL (</span><i>r</i><span>&nbsp;= 0.93 and&nbsp;</span><i>r</i><span>&nbsp;= 0.68; d.f. = 14). The SWE estimated from the passive microwave imagery was significantly correlated with the SNODAS SWE (</span><i>r</i><span>&nbsp;= 0.55, d.f. = 9,&nbsp;</span><i>p</i><span>&nbsp;= 0.05) but was not significantly correlated with the SNOTEL-reported SWE values (</span><i>r</i><span>&nbsp;= 0.45, d.f. = 9,&nbsp;</span><i>p</i><span>&nbsp;= 0.05).The results indicate the applicability of the snow energy balance model for monitoring snow water content at regional scales when coupled with meteorological data of acceptable quality. The two snow water contents from the microwave imagery (SMMR and SSM/I) and the Utah Energy Balance forced with the TRMM precipitation data were found to be unreliable sources for mapping SWE in the study area; both data sets lacked discernible variability of snow water content between sites as seen in the SNOTEL and SNODAS SWE data. This study will contribute to better understanding the adequacy of data from weather forecast models, TRMM, and microwave imagery for monitoring status of the snow water content.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-17-5127-2013","usgsCitation":"Artan, G.A., Verdin, J., and Lietzow, R., 2013, Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins: Hydrology and Earth System Sciences, v. 17, p. 5127-5139, https://doi.org/10.5194/hess-17-5127-2013.","productDescription":"13 p.","startPage":"5127","endPage":"5139","ipdsId":"IP-018769","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-17-5127-2013","text":"Publisher Index Page"},{"id":286361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Colorado basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.8740234375,\n              37.16031654673677\n            ],\n            [\n              -105.1171875,\n              37.16031654673677\n            ],\n            [\n              -105.1171875,\n              44.11914151643737\n            ],\n            [\n              -110.8740234375,\n              44.11914151643737\n            ],\n            [\n              -110.8740234375,\n              37.16031654673677\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"535594a9e4b0120853e8c044","contributors":{"authors":[{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, J. P. 0000-0003-0238-9657","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":33033,"corporation":false,"usgs":true,"family":"Verdin","given":"J. P.","affiliations":[],"preferred":false,"id":492761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lietzow, R.","contributorId":89648,"corporation":false,"usgs":true,"family":"Lietzow","given":"R.","email":"","affiliations":[],"preferred":false,"id":492763,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094693,"text":"70094693 - 2013 - Using isotopes for design and monitoring of artificial recharge systems","interactions":[],"lastModifiedDate":"2018-08-08T15:37:59","indexId":"70094693","displayToPublicDate":"2013-11-05T13:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":179,"text":"IAEA TECDOC","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"1723","title":"Using isotopes for design and monitoring of artificial recharge systems","docAbstract":"Over the past years, the IAEA has provided support to a number of Member States engaged in the implementation of hydrological projects dealing with the design and monitoring of artificial recharge ( A R ) systems, primarily situated in arid and semiarid regions. AR is defined as any engineered system designed to introduce water to, and store water in, underlying aquifers. Aquifer storage and recovery (ASR) is a specific type of AR used with the purpose of increasing groundwater resources. Different water management strategies have been tested under various geographical, hydrological and climatic regimes. However, \nthe success of such schemes cannot easily be predicted, since many variables need to be taken into account in the early stages of every AR project.","language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna","usgsCitation":"International Atomic Energy Agency, 2013, Using isotopes for design and monitoring of artificial recharge systems: IAEA TECDOC 1723, 59 p.","productDescription":"59 p.","numberOfPages":"74","ipdsId":"IP-016370","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282655,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/IAEABooks/10510/Using-Isotopes-for-Design-and-Monitoring-of-Artificial-Recharge-Systems"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae789de4b0abf75cf2dac1","contributors":{"authors":[{"text":"International Atomic Energy Agency","contributorId":206868,"corporation":true,"usgs":false,"organization":"International Atomic Energy Agency","id":741983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073846,"text":"70073846 - 2013 - Surface water quality in streams and rivers: Scaling, and climate change","interactions":[],"lastModifiedDate":"2022-12-13T16:52:57.590293","indexId":"70073846","displayToPublicDate":"2013-11-05T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4.5","title":"Surface water quality in streams and rivers: Scaling, and climate change","docAbstract":"<p><span>This chapter explores spatial and temporal scaling and the impact of climate change on four basic water quality parameters: temperature, pH, dissolved oxygen, and suspended sediment. An introduction describing the conditions and changes in these water quality parameters is presented. Temporal scaling of water quality parameters is discussed on diel (24</span><span>&nbsp;</span><span>h), precipitation event, and seasonal time scales. Discussion of longitudinal scaling of these parameters is included as well. Effects of climate change are presented here with a focus on observed trends, modeling results, and confounding factors in predicting climate change-induced shifts in water quality. This review highlights how factors such as geographic location, land cover, and human perturbations can alter water quality trends in rivers and streams.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive water quality and purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00064-5","usgsCitation":"Loperfido, J., 2013, Surface water quality in streams and rivers: Scaling, and climate change, chap. 4.5 <i>of</i> Comprehensive water quality and purification, v. 4, p. 87-105, https://doi.org/10.1016/B978-0-12-382182-9.00064-5.","productDescription":"20 p.","startPage":"87","endPage":"105","ipdsId":"IP-033755","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7577e4b0b2908510a42b","contributors":{"authors":[{"text":"Loperfido, John","contributorId":74667,"corporation":false,"usgs":true,"family":"Loperfido","given":"John","email":"","affiliations":[],"preferred":false,"id":489132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}