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.
\nThe 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.
\nThe 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.
\nThe name “Upper Potomac aquifer” 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.
\nUpdates 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.
","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":"Office Chief
U.S. Geological Survey
New England Water Science Center
Massachusetts-Rhode Island Office
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at:
http://ma.water.usgs.gov
Abstract
\nIntroduction
\nHydrogeology
\nHydrologic Conditions
\nSummary and Conclusions
\nReferences Cited
\nBathymetric 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.
\nThe 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.
\nThe 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.
","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":"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).
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.
The Missouri River transported an estimated 79,600 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 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 2011.
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.
","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":"","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":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri 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":"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.
","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":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV 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":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},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"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) (≤4.4 mg/L), a federally listed endangered species endemic to Barton Springs. DO was lowest (≤4.4 mg/L) when discharge was low (≤1 m3/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 m3/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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","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":"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, α-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′-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 β-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.
","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. of 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":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":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}]}} ]}