The provenance of Jurassic to Cretaceous flysch along the northern boundary of the allochthonous Wrangellia composite terrane, exposed from the Lake Clark region of southwest Alaska to the Nutzotin Mountains in eastern Alaska, suggests that the flysch can be divided into two belts having different sources. On the north, the Kahiltna flysch and Kuskokwim Group overlie and were derived from the Farwell and Yukon-Tanana terranes, as well as smaller related terranes that were part of the paleo-Alaskan margin. Paleocurrent indicators for these two units suggest that they derived sediment from the north and west. Sandstones are predominantly lithic wacke that contain abundant quartz grains, lithic rock fragments, and detrital mica, which suggest that these rocks were derived from recycled orogen and arc sources. Conglomerates contain limestone clasts that have fossils matching terranes that made up the paleo-Alaskan margin. In contrast, flysch units on the south overlie and were derived from the Wrangellia composite terrane. Paleocurrent indicators for these units suggest that they derived sediment from the south. Sandstones are predominantly feldspathic wackes that contain abundant plagioclase grains and volcanic rock fragments, which suggest these rocks were derived from an arc. Clast compositions in conglomerate south of the boundary match rock types of the Wrangellia composite terrane.
\nThe distributions of detrital zircon ages also differentiate the flysch units. Flysch units on the north average 54% Mesozoic, 14% Paleozoic, and 32% Precambrian detrital zircons, reflecting derivation from the older Yukon-Tanana, Farewell, and other terranes that made up the paleo-Alaskan margin. In comparison, flysch units on the south average 94% Mesozoic, 1% Paleozoic, and 5% Precambrian zircons, which are consistent with derivation from the Mesozoic oceanic magmatic arc rocks in the Wrangellia composite terrane. In particular, the flysch units on the south contain a large proportion of zircons ranging from 135 to 175 Ma, corresponding to the age of the Chitina magmatic arc in the Wrangellia terrane and the plutons of the Peninsular terrane, which are part of the Wrangellia composite terrane. Flysch units on the north do not contain significant numbers of zircons in this age range. The flysch overlying the Wrangellia composite terrane apparently does not contain detritus derived from rocks of the paleo-Alaska margin, and the flysch overlying the paleo-Alaskan margin apparently does not contain detritus derived from the Wrangellia composite terrane.
\nThe provenance difference between the two belts helps to constrain the location of the northern boundary of the Wrangellia composite terrane. Geophysical models place a deep, through-going, crustal-scale suture zone in the area between the two flysch belts. The difference in the provenance of the two belts supports this interpretation. The youngest flysch is Late Cretaceous in age, and structural disruption of the flysch units is constrained to the Late Cretaceous, so it appears that the Wrangellia composite terrane was not near the paleo-Alaskan margin until the Late Cretaceous.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lithosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/L310.1","usgsCitation":"Hults, C.P., Wilson, F.H., Donelick, R.A., and O'Sullivan, P., 2013, Two flysch belts having distinctly different provenance suggest no stratigraphic link between the Wrangellia composite terrane and the paleo-Alaskan margin: Lithosphere, v. 5, no. 6, p. 575-594, https://doi.org/10.1130/L310.1.","productDescription":"20 p.","startPage":"575","endPage":"594","numberOfPages":"20","ipdsId":"IP-052588","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l310.1","text":"Publisher Index Page"},{"id":281055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281053,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/L310.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark;Nutzotin Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.0,58.0 ], [ -160.0,64.0 ], [ -141.0,64.0 ], [ -141.0,58.0 ], [ -160.0,58.0 ] ] ] } } ] }","volume":"5","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd79d2e4b0b2908510d133","contributors":{"authors":[{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":486263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":486261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donelick, Raymond A.","contributorId":71097,"corporation":false,"usgs":true,"family":"Donelick","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Sullivan, Paul B.","contributorId":36627,"corporation":false,"usgs":true,"family":"O'Sullivan","given":"Paul B.","affiliations":[],"preferred":false,"id":486262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047103,"text":"70047103 - 2013 - Temporal changes and sexual differences in spatial distribution of Burbot in Lake Erie","interactions":[],"lastModifiedDate":"2013-11-15T10:18:01","indexId":"70047103","displayToPublicDate":"2013-11-15T11:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Temporal changes and sexual differences in spatial distribution of Burbot in Lake Erie","docAbstract":"We used GIS mapping techniques to examine capture data for Burbot Lota lota from annual gill-net surveys in Canadian waters of Lake Erie during late August and September 1994–2011. Adult males were captured over a larger area (3–17% for ≥20% maximum yearly catch [MYC]) than adult females. More males than females were caught in the gill nets in 14 of the 15 study years. Collectively, these results support a hypothesis of greater activity by adult males during summer, when Burbot are actively feeding. The area of capture contracted by more than 60% (for ≥20% MYC) for both sexes during the time period, which is consistent with the documented decrease of the Burbot population in the lake. The sex ratio (females: males) varied over the time series but declined steadily from 0.97 in 2001 to 0.59 in 2011. The overlap in the capture areas of adult males and females was scale dependent. The depth distribution at which adult Burbot were caught did not change over the time series, and there was no difference in the median depths (about 30 m) at which adult male and female Burbot were caught. The last results are consistent with the Burbot's reliance on coldwater habitats. Additional research is recommended, including telemetry to describe daily and seasonal movements and assessment of gender bias in active and passive capture gear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.795191","usgsCitation":"Stapanian, M.A., Witzel, L.D., and Cook, A., 2013, Temporal changes and sexual differences in spatial distribution of Burbot in Lake Erie: Transactions of the American Fisheries Society, v. 142, no. 6, p. 1724-1732, https://doi.org/10.1080/00028487.2013.795191.","productDescription":"9 p.","startPage":"1724","endPage":"1732","numberOfPages":"9","ipdsId":"IP-045137","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":279105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279104,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.795191"}],"country":"Canada;United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.6803,41.8693 ], [ -80.6803,42.9038 ], [ -78.8183,42.9038 ], [ -78.8183,41.8693 ], [ -80.6803,41.8693 ] ] ] } } ] }","volume":"142","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"5287425ee4b03b89f6f15080","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witzel, Larry D.","contributorId":68642,"corporation":false,"usgs":true,"family":"Witzel","given":"Larry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Andy","contributorId":48473,"corporation":false,"usgs":true,"family":"Cook","given":"Andy","email":"","affiliations":[],"preferred":false,"id":481060,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137272,"text":"70137272 - 2013 - Brant (Branta bernnicla)","interactions":[],"lastModifiedDate":"2015-11-16T15:14:41","indexId":"70137272","displayToPublicDate":"2013-11-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Brant (Branta bernnicla)","docAbstract":"The Brant (called Brent Goose in Europe) is a small dark goose that occurs throughout much of the northern hemisphere. In contrast to other goose species, Brant are characterized by their extensive use of native coastal habitats outside the breeding season. Three to four subspecies are recognized (see Systematics), mainly on the basis of plumage characteristics. The two/three North American subspecies are further separated into four subpopulations based on genetics, location of breeding and wintering areas, and migration routes.
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Center","active":true,"usgs":true}],"preferred":true,"id":537636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, A.","contributorId":99251,"corporation":false,"usgs":true,"family":"Reed","given":"A.","email":"","affiliations":[],"preferred":false,"id":579903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sedinger, J.S.","contributorId":75471,"corporation":false,"usgs":true,"family":"Sedinger","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":579904,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":"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
\nThe Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP is managed by the U.S. Geological Survey, Department of the Interior. GAP supports a wide range of national, State, and local agencies as well as nongovernmental organizations and businesses with scientific tools and data. GAP uses a collaborative approach to do research, analysis, and data development, resulting in a history of cooperation with more than 500 agencies and organizations nationally.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70055528","collaboration":"Gap Analysis Project","usgsCitation":"Gergely, K.J., and McKerrow, A., 2013, Tools and data for meeting America's conservation challenges: General Information Product 151, 2 p., https://doi.org/10.3133/70055528.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-035164","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":279092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":279023,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/151/"},{"id":279070,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/151/pdf/gip151.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52860787e4b00926c2186550","contributors":{"authors":[{"text":"Gergely, Kevin J. 0000-0002-4379-2189 gergely@usgs.gov","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":2706,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","email":"gergely@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":486130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":486131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":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":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf 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":70049018,"text":"ofr20131250 - 2013 - MODIS phenology image service ArcMap toolbox","interactions":[],"lastModifiedDate":"2013-11-13T15:02:31","indexId":"ofr20131250","displayToPublicDate":"2013-11-13T14:59:00","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":"2013-1250","title":"MODIS phenology image service ArcMap toolbox","docAbstract":"Seasonal change is important to consider when managing conservation areas at landscape scales. The study of such patterns throughout the year is referred to as phenology. Recurring life-cycle events that are initiated and driven by environmental factors include animal migration and plant flowering. Phenological events capture public attention, such as fall color change in deciduous forests, the first flowering in spring, and for those with allergies, the start of the pollen season. These events can affect our daily lives, provide clues to help understand and manage ecosystems, and provide evidence of how climate variability can affect the natural cycle of plants and animals. Phenological observations can be gathered at a range of scales, from plots smaller than an acre to landscapes of hundreds to thousands of acres. Linking these observations to diverse disciplines such as evolutionary biology or climate sciences can help further research in species and ecosystem responses to climate change scenarios at appropriate scales.
\nA cooperative study between the National Park Service (NPS), the U.S. Geological Survey (USGS), and the National Aeronautics and Space Administration (NASA) has been exploring how satellite information can be used to summarize phenological patterns observed at the park or landscape scale and how those summaries can be presented to both park managers and visitors. This study specifically addressed seasonal changes in plants, including the onset of growth, photosynthesis in the spring, and the senescence of deciduous vegetation in the fall. The primary objective of the work is to demonstrate that seasonality even in protected areas changes considerably across years. A major challenge is to decouple natural variability from possible trends—directional change that can lead to a permanent and radically different ecosystem state. Trends can be either a gradual degradation of the landscape (often from external influences) or steady improvement (by implementing long-term conservation plans). In either case, it is important to first grasp the magnitude of natural variation so that it is not confused with actual trends.
\nThis work used existing and freely available remote sensing data, specifically the NASA-funded 250-meter (m) spatial resolution land-surface phenology product for North America. This product is calculated from an annual record of vegetation health observed by NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. The land-surface phenology product is, in essence, a method to summarize all the observations throughout a year into a few key, ecologically relevant “metrics”.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131250","collaboration":"Prepared in cooperation with the National Park Service and the Great Northern Landscape Conservation Cooperative","usgsCitation":"Talbert, C., Kern, T., Morisette, J., Brown, D., and James, K., 2013, MODIS phenology image service ArcMap toolbox: U.S. Geological Survey Open-File Report 2013-1250, iii, 6 p., https://doi.org/10.3133/ofr20131250.","productDescription":"iii, 6 p.","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-045950","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":279059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131250.jpg"},{"id":279058,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1250/pdf/of2013-1250.pdf"},{"id":279057,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1250/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52849f61e4b063f258e57461","contributors":{"authors":[{"text":"Talbert, Colin talbertc@usgs.gov","contributorId":4668,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":486033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Tim J. kernt@usgs.gov","contributorId":4454,"corporation":false,"usgs":true,"family":"Kern","given":"Tim J.","email":"kernt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":486032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morisette, Jeff","contributorId":20640,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":486034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Don","contributorId":73490,"corporation":false,"usgs":true,"family":"Brown","given":"Don","email":"","affiliations":[],"preferred":false,"id":486035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"James, Kevin","contributorId":106787,"corporation":false,"usgs":true,"family":"James","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":486036,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}