The longest distance between subaerial shield volcanoes in the Hawaiian Islands is between the islands of Kaua‘i and O‘ahu, where a field of submarine volcanic cones formed astride the axis of the Hawaiian chain during a period of low magma productivity. The submarine volcanoes lie ∼25–30 km west of Ka‘ena Ridge that extends ∼80 km from western O‘ahu. These volcanoes were sampled by three Jason2 dives. The cones are flat topped, <400 m high and 0.4–2 km in diameter at water depths between ∼2700 and 4300 m, and consist predominantly of pillowed flows. Ar‐Ar and K‐Ar ages of 11 tholeiitic lavas are between 4.9 and 3.6 Ma. These ages overlap with shield volcanism on Kaua‘i (5.1–4.0 Ma) and Wai‘anae shield basalts (3.9–3.1 Ma) on O‘ahu. Young alkalic lavas (circa 0.37 Ma) sampled southwest of Ka‘ena Ridge are a form of offshore secondary volcanism. Half of the volcanic cones contain high‐SiO2 basalts (51.0–53.5 wt % SiO2). The trends of isotopic compositions of West Ka‘ena tholeiitic lavas diverge from the main Ko‘olau‐Kea shield binary mixing trend in isotope diagrams and extend to lower 208Pb/204Pb and 206Pb/204Pb than any Hawaiian tholeiitic lava. West Ka‘ena tholeiitic lavas have geochemical and isotopic characteristics similar to volcanoes of the Loa trend. Hence, our results show that the Loa‐type volcanism has persisted for at least 4.9 Myr, beginning prior to the development of the dual, subparallel chain of volcanoes. Several West Ka‘ena samples are similar to higher SiO2, Loa trend lavas of Ko‘olau Makapu‘u stage, Lāna‘i, and Kaho‘olawe; these lavas may have been derived from a pyroxenite source in the mantle. The high Ni contents of olivines in West Ka‘ena lavas also indicate contribution from pyroxenite‐derived melting. Average compositions of Hawaiian shield volcanoes show a clear relation between 206Pb/204Pb and SiO2 within Loa trend volcanoes, which supports a prominent but variable influence of pyroxenite in the Hawaiian plume source. In addition, both Pb isotopes and volcano volume show a steady increase with time starting from a minimum west of Ka‘ena Ridge. The entrained mafic component in the Hawaiian plume is probably not controlling the increasing magma productivity in the Hawaiian Islands.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GC003233","usgsCitation":"Greene, A., Garcia, M.O., Weis, D., Ito, G., Kuga, M., Robinson, J., and Yamasaki, S., 2010, Low‐productivity Hawaiian volcanism between Kaua‘i and O‘ahu: Geochemistry, Geophysics, Geosystems, v. 11, no. 11, Q0AC08, 30 p., https://doi.org/10.1029/2010GC003233.","productDescription":"Q0AC08, 30 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gc003233","text":"Publisher Index Page"},{"id":356038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.45532226562497,\n 18.802318121688117\n ],\n [\n -154.632568359375,\n 18.802318121688117\n ],\n [\n -154.632568359375,\n 22.370396344320053\n ],\n [\n -160.45532226562497,\n 22.370396344320053\n ],\n [\n -160.45532226562497,\n 18.802318121688117\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-11-23","publicationStatus":"PW","scienceBaseUri":"5b98b6b6e4b0702d0e844c6e","contributors":{"authors":[{"text":"Greene, A.","contributorId":34711,"corporation":false,"usgs":true,"family":"Greene","given":"A.","email":"","affiliations":[],"preferred":false,"id":740971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":740972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":740973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ito, Garrett","contributorId":67396,"corporation":false,"usgs":true,"family":"Ito","given":"Garrett","email":"","affiliations":[],"preferred":false,"id":740974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuga, Maia","contributorId":206540,"corporation":false,"usgs":false,"family":"Kuga","given":"Maia","email":"","affiliations":[],"preferred":false,"id":740975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Joel jrobins@usgs.gov","contributorId":194404,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel","email":"jrobins@usgs.gov","affiliations":[],"preferred":true,"id":740976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yamasaki, Seiko","contributorId":206541,"corporation":false,"usgs":false,"family":"Yamasaki","given":"Seiko","email":"","affiliations":[],"preferred":false,"id":740977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98889,"text":"ofr20101211 - 2010 - Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101211","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","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":"2010-1211","title":"Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin","docAbstract":"Water-resource managers and planners require water-withdrawal, return-flow, and consumptive-use data to understand how anthropogenic (human) water use affects the hydrologic system. Water models like MODFLOW and GSFLOW use calculations and input values (including water-withdrawal and return flow data) to simulate and predict the effects of water use on aquifer and stream conditions. Accurate assessments of consumptive use, interbasin transfer, and areas that are on public supply or sewer are essential in estimating the withdrawal and return-flow data needed for the models. As the applicability of a model to real situations depends on accurate input data, limited or poor water-use data hampers the ability of modelers to simulate and predict hydrologic conditions. Substantial differences exist among the many agencies nationwide that are responsible for compiling water-use data including what data are collected, how the data are organized, how often the data are collected, quality assurance, required level of accuracy, and when data are released to the public. This poster presents water-use information and estimation methods summarized from recent U.S. Geological Survey (USGS) reports with the intent to assist water-resource managers and planners who need estimates of monthly water withdrawals, return flows, and consumptive use. This poster lists references used in Shaffer (2009) for water withdrawals, consumptive use, and return flows. Monthly percent of annual withdrawals and monthly consumptive-use coefficients are used to compute monthly water withdrawals, consumptive use, and return flow for the Great Lakes Basin.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101211","collaboration":"Prepared by the USGS Ohio Water Science Center","usgsCitation":"Shaffer, K., and Stenback, R.S., 2010, Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin: U.S. Geological Survey Open-File Report 2010-1211, Poster: 42 inches x 87 inches; Components of Water Use Figure poster: 17 inches x 11 inches, https://doi.org/10.3133/ofr20101211.","productDescription":"Poster: 42 inches x 87 inches; Components of Water Use Figure poster: 17 inches x 11 inches","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":126150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1211.gif"},{"id":14307,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1211/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9c5","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":306840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stenback, Rosemary S. rsstenba@usgs.gov","contributorId":215,"corporation":false,"usgs":true,"family":"Stenback","given":"Rosemary","email":"rsstenba@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":306839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98888,"text":"sir20105169 - 2010 - Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105169","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","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":"2010-5169","title":"Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration","docAbstract":"Highly parameterized groundwater models can create calibration difficulties. Regularized inversion-the combined use of large numbers of parameters with mathematical approaches for stable parameter estimation-is becoming a common approach to address these difficulties and enhance the transfer of information contained in field measurements to parameters used to model that system. Though commonly used in other industries, regularized inversion is somewhat imperfectly understood in the groundwater field. There is concern that this unfamiliarity can lead to underuse, and misuse, of the methodology. This document is constructed to facilitate the appropriate use of regularized inversion for calibrating highly parameterized groundwater models. The presentation is directed at an intermediate- to advanced-level modeler, and it focuses on the PEST software suite-a frequently used tool for highly parameterized model calibration and one that is widely supported by commercial graphical user interfaces. A brief overview of the regularized inversion approach is provided, and techniques for mathematical regularization offered by PEST are outlined, including Tikhonov, subspace, and hybrid schemes. Guidelines for applying regularized inversion techniques are presented after a logical progression of steps for building suitable PEST input. The discussion starts with use of pilot points as a parameterization device and processing/grouping observations to form multicomponent objective functions. A description of potential parameter solution methodologies and resources available through the PEST software and its supporting utility programs follows. Directing the parameter-estimation process through PEST control variables is then discussed, including guidance for monitoring and optimizing the performance of PEST. Comprehensive listings of PEST control variables, and of the roles performed by PEST utility support programs, are presented in the appendixes. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105169","collaboration":"Prepared in cooperation with the Groundwater Resources Program and Global Change Research and Development","usgsCitation":"Doherty, J.E., and Hunt, R.J., 2010, Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration: U.S. Geological Survey Scientific Investigations Report 2010-5169, vi, 37 p.; Appendices, https://doi.org/10.3133/sir20105169.","productDescription":"vi, 37 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":126149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5169.jpg"},{"id":14306,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5169/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a32d","contributors":{"authors":[{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":306838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":306837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198324,"text":"70198324 - 2010 - The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index","interactions":[],"lastModifiedDate":"2018-07-31T09:48:10","indexId":"70198324","displayToPublicDate":"2010-11-18T10:50:54","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index","docAbstract":"The origin of tholeiitic (TH) versus calc-alkaline (CA) magmatic trends has long been debated. Part of the problem stems from the lack of a quantitative measure for the way in which a magma evolves. Recognizing that the salient feature in many TH–CA discrimination diagrams is enrichment in Fe during magma evolution, we have developed a quantitative index of Fe enrichment, the Tholeiitic Index (THI): THI = Fe4·0/Fe8·0, where Fe4·0 is the average FeO* concentration of samples with 4 ± 1 wt % MgO, and Fe8·0 is the average FeO* at 8 ± 1 wt % MgO. Magmas with THI > 1 have enriched in FeO* during differentiation from basalts to andesites and are tholeiitic; magmas with THI < 1 are calc-alkaline. Most subduction zone volcanism is CA, but to varying extents; the THI expresses the continuum of Fe enrichment observed in magmatic suites in all tectonic settings. To test various controls on the development of CA trends, we present new magmatic water measurements in melt inclusions from eight volcanoes from the Aleutian volcanic arc (Augustine, Emmons, Shishaldin, Akutan, Unalaska, Okmok, Seguam, and Korovin). Least degassed H2O contents vary from ∼2 wt % (Shishaldin) to >7 wt % (Augustine), spanning the global range in arc mafic magmas. Within the Aleutian data, H2O correlates negatively with THI, from strongly calc-alkaline (Augustine, THI = 0·65) to moderately tholeiitic (Shishaldin, THI = 1·16). The relationship between THI and magmatic water is maintained when data are included from additional arc volcanoes, back-arc basins, ocean islands, and mid-ocean ridge basalts (MORBs), supporting a dominant role of magmatic water in generating CA trends. An effective break between TH and CA trends occurs at ∼2 wt % H2O. Both pMELTs calculations and laboratory experiments demonstrate that the observed co-variation of H2O and THI in arcs can be generated by the effect of H2O on the suppression of plagioclase and the relative enhancement of Fe-oxides on the liquid line of descent. The full THI–H2O array requires an increase in fO2 with H2O, from ≤FMQ (where FMQ is the fayalite–magnetite–quartz buffer) in MORB to ∼ΔFMQ +0·5 to +2 in arcs, consistent with inferences from measured Fe and S species in glasses and melt inclusions. A curve fit to the data, H2O (wt % ± 1·2) = exp[(1·26 – THI)/0·32], may provide a useful tool for estimating the H2O content of magmas that are inaccessible to melt inclusion study.
","language":"English","publisher":"Oxford ","doi":"10.1093/petrology/egq062","usgsCitation":"Zimmer, M.M., Plank, T., Hauri, E.H., Yogodzinski, G., Stelling, P.L., Larsen, J., Singer, B., Jicha, B.R., Mandeville, C., and Nye, C.J., 2010, The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index: Journal of Petrology, v. 51, no. 12, p. 2411-2444, https://doi.org/10.1093/petrology/egq062.","productDescription":"34 p.","startPage":"2411","endPage":"2444","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":356055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-11-18","publicationStatus":"PW","scienceBaseUri":"5b98b6b7e4b0702d0e844c70","contributors":{"authors":[{"text":"Zimmer, Mindy M.","contributorId":206549,"corporation":false,"usgs":false,"family":"Zimmer","given":"Mindy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plank, Terry","contributorId":16743,"corporation":false,"usgs":false,"family":"Plank","given":"Terry","affiliations":[{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false}],"preferred":false,"id":741045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hauri, Erik H.","contributorId":199798,"corporation":false,"usgs":false,"family":"Hauri","given":"Erik","email":"","middleInitial":"H.","affiliations":[{"id":35612,"text":"Department of Terrestrial Magnetism, Carnegie Institution of Washington, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":741046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yogodzinski, Gene","contributorId":193631,"corporation":false,"usgs":false,"family":"Yogodzinski","given":"Gene","email":"","affiliations":[],"preferred":false,"id":741047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelling, Peter L.","contributorId":84414,"corporation":false,"usgs":true,"family":"Stelling","given":"Peter","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, Jessica","contributorId":62092,"corporation":false,"usgs":true,"family":"Larsen","given":"Jessica","affiliations":[],"preferred":false,"id":741049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singer, Brad","contributorId":121387,"corporation":false,"usgs":true,"family":"Singer","given":"Brad","affiliations":[],"preferred":false,"id":741050,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jicha, Brian R.","contributorId":44062,"corporation":false,"usgs":true,"family":"Jicha","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741051,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mandeville, Charlie 0000-0002-8485-3689 cmandeville@usgs.gov","orcid":"https://orcid.org/0000-0002-8485-3689","contributorId":753,"corporation":false,"usgs":true,"family":"Mandeville","given":"Charlie","email":"cmandeville@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":741052,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nye, Christopher J.","contributorId":55418,"corporation":false,"usgs":true,"family":"Nye","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":741053,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":98887,"text":"ds540 - 2010 - Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq","interactions":[],"lastModifiedDate":"2012-04-16T17:28:12","indexId":"ds540","displayToPublicDate":"2010-11-18T00:00:00","publicationYear":"2010","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":"540","title":"Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq","docAbstract":"Statistical summaries of streamflow data for all long-term streamflow-gaging stations in the Tigris River and Euphrates River Basins in Iraq are presented in this report. The summaries for each streamflow-gaging station include (1) a station description, (2) a graph showing annual mean discharge for the period of record, (3) a table of extremes and statistics for monthly and annual mean discharge, (4) a graph showing monthly maximum, minimum, and mean discharge, (5) a table of monthly and annual mean discharges for the period of record, (6) a graph showing annual flow duration, (7) a table of monthly and annual flow duration, (8) a table of high-flow frequency data (maximum mean discharge for 3-, 7-, 15-, and 30-day periods for selected exceedance probabilities), and (9) a table of low-flow frequency data (minimum mean discharge for 3-, 7-, 15-, 30-, 60-, 90-, and 183-day periods for selected non-exceedance probabilities). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds540","collaboration":"Prepared in cooperation with U.S. Agency for International Development","usgsCitation":"Saleh, D.K., 2010, Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq: U.S. Geological Survey Data Series 540, iv, 145 p.; Download for Arabic translation, https://doi.org/10.3133/ds540.","productDescription":"iv, 145 p.; Download for Arabic translation","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":126137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_540.jpg"},{"id":14305,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/540/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 38,28 ], [ 38,39 ], [ 52,39 ], [ 52,28 ], [ 38,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5195","contributors":{"authors":[{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":306836,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004007,"text":"70004007 - 2010 - Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought","interactions":[],"lastModifiedDate":"2022-11-09T12:25:32.653202","indexId":"70004007","displayToPublicDate":"2010-11-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought","docAbstract":"The net exchanges of carbon dioxide, water vapor, and energy were examined in a perennial Colorado Plateau grassland for 5 years. The study began within a multiyear drought and continued as the drought ended. The grassland is located near the northern boundary of the influence of the North American monsoon, a major climatic feature bringing summer rain. Following rain, evapotranspiration peaked above 8 mm d-1 but was usually much smaller (2-4 mm d-1). Net productivity of the grassland was low compared to other ecosystems, with peak hourly net CO2 uptake in the spring of 4 (mu or u)mol m-2 s-1 and springtime carbon gain in the range of 42 + or - 11 g C m-2 (based on fluxes) to 72 + or - 55 g C m-2 (based on carbon stocks; annual carbon gain was not quantified). Drought decreased gross ecosystem productivity (GEP) and total ecosystem respiration, with a much larger GEP decrease. Monsoon rains led to respiratory pulses, lasting a few days at most, and only rarely resulted in net CO2 gain, despite the fact that C4 grasses dominated plant cover. Minor CO2 uptake was observed in fall following rain. Spring CO2 uptake was regulated by deep soil moisture, which depended on precipitation in the prior fall and winter. The lack of CO2 uptake during the monsoon and the dependence of GEP on deep soil moisture are in contrast with arid grasslands of the warm deserts. Cold desert grasslands are most likely to be impacted by future changes in winter and not summer precipitation.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JG001322","usgsCitation":"Bowling, D.R., Bethers-Marchetti, S., Lunch, C., Grote, E.E., and Belnap, J., 2010, Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought: Journal of Geophysical Research G: Biogeosciences, v. 115, no. G4, https://doi.org/10.1029/2010JG001322.","productDescription":"16 p.","startPage":"G04026","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":475639,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001322","text":"Publisher Index Page"},{"id":203846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","volume":"115","issue":"G4","noUsgsAuthors":false,"publicationDate":"2010-11-18","publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f0061","contributors":{"authors":[{"text":"Bowling, David R.","contributorId":48395,"corporation":false,"usgs":true,"family":"Bowling","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bethers-Marchetti, S.","contributorId":96545,"corporation":false,"usgs":true,"family":"Bethers-Marchetti","given":"S.","email":"","affiliations":[],"preferred":false,"id":350124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunch, C.K.","contributorId":46742,"corporation":false,"usgs":true,"family":"Lunch","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":350121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98885,"text":"fs20103093 - 2010 - Understanding beach health throughout the Great Lakes-Entering a new era of investigations","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20103093","displayToPublicDate":"2010-11-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3093","title":"Understanding beach health throughout the Great Lakes-Entering a new era of investigations","docAbstract":"For over a decade, the U.S. Geological Survey (USGS) has been a leader in the science of beach health. The overall mission of this work is to provide science-based information and methods that will allow beach managers to more accurately make beach closure and advisory decisions, understand the sources and physical processes affecting beach contaminants, and understand how science-based information can be used to mitigate and restore beaches and protect the public. The work consists of four science elements-real-time assessments; pathogens and microbial source tracking; coastal processes; and data analysis, interpretation, and communication - which are described in this fact sheet.\r\n\r\nSome of the key questions for USGS beach research are the following: Are there better ways to inform the public whether they can use a beach without risking their health? How do new rapid analytical methods compare to traditional methods for determining concentrations of fecal-indicator bacteria at beaches? Are pathogens present at beaches and, if so, how do they get to the beach, and what is their source? How do sand movement and wave action on the beach affect fecal-indicator-bacteria and pathogen concentrations in the lake water? What are the best indicators of pathogenic microorganisms? With so many potential sources of fecal contamination at a beach, what methods can be used to distinguish the contributions from humans? What characteristics of beaches contribute most to influencing bacterial indicator and pathogen concentrations in beach sands and groundwater?","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103093","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Understanding beach health throughout the Great Lakes-Entering a new era of investigations: U.S. Geological Survey Fact Sheet 2010-3093, 4 p., https://doi.org/10.3133/fs20103093.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":126108,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3093.jpg"},{"id":14303,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3093/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f5a4","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98879,"text":"ofr20101190 - 2010 - Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa","interactions":[],"lastModifiedDate":"2021-11-22T20:48:46.379912","indexId":"ofr20101190","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","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":"2010-1190","title":"Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa","docAbstract":"As a result of prolonged and intense periods of rainfall in late May and early June, 2008, along with heavier than normal snowpack the previous winter, record flooding occurred in Iowa in the Iowa River and Cedar River Basins. The storms were part of an exceptionally wet period from May 29 through June 12, when an Iowa statewide average of 9.03 inches of rain fell; the normal statewide average for the same period is 2.45 inches. From May 29 to June 13, the 16-day rainfall totals recorded at rain gages in Iowa Falls and Clutier were 14.00 and 13.83 inches, respectively. Within the Iowa River Basin, peak discharges of 51,000 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05453100 Iowa River at Marengo, Iowa streamflow-gaging station (streamgage) on June 12, and of 39,900 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05453520 Iowa River below Coralville Dam near Coralville, Iowa streamgage on June 15 are the largest floods on record for those sites. A peak discharge of 41,100 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) on June 15 at the 05454500 Iowa River at Iowa City, Iowa streamgage is the fourth highest on record, but is the largest flood since regulation by the Coralville Dam began in 1958.\r\n\r\nWithin the Cedar River Basin, the May 30 to June 15, 2008, flood is the largest on record at all six streamgages in Iowa located on the mainstem of the Cedar River and at five streamgages located on the major tributaries. Flood-probability estimates for 10 of these 11 streamgages are less than 1 percent. Peak discharges of 112,000 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05464000 Cedar River at Waterloo, Iowa streamgage on June 11 and of 140,000 cubic feet per second (flood-probability estimate of less than 0.2 percent) at the 05464500 Cedar River at Cedar Rapids, Iowa streamgage on June 13 are the largest floods on record for those sites. Downstream from the confluence of the Iowa and Cedar Rivers, the peak discharge of 188,000 cubic feet per second (flood-probability estimate of less than 0.2 percent) at the 05465500 Iowa River at Wapello, Iowa streamgage on June 14, 2008, is the largest flood on record in the Iowa River and Cedar River Basins since 1903.\r\n\r\nHigh-water marks were measured at 88 locations along the Iowa River between State Highway 99 near Oakville and U.S. Highway 69 in Belmond, a distance of 319 river miles. High-water marks were measured at 127 locations along the Cedar River between Fredonia near the mouth (confluence with the Iowa River) and Riverview Drive north of Charles City, a distance of 236 river miles. The high-water marks were used to develop flood profiles for the Iowa and Cedar River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101190","usgsCitation":"Linhart, M.S., and Eash, D.A., 2010, Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa: U.S. Geological Survey Open-File Report 2010-1190, vi, 99 p., https://doi.org/10.3133/ofr20101190.","productDescription":"vi, 99 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-05-30","temporalEnd":"2008-06-15","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":126063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1190.jpg"},{"id":392010,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94596.htm"},{"id":14297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1190/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","otherGeospatial":"Iowa River and Cedar River Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8167,\n 41.0125\n ],\n [\n -91.7069,\n 41.0125\n ],\n [\n -91.7069,\n 43.9333\n ],\n [\n -93.8167,\n 43.9333\n ],\n [\n -93.8167,\n 41.0125\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b26e4b07f02db6af9a0","contributors":{"authors":[{"text":"Linhart, Mike S.","contributorId":99945,"corporation":false,"usgs":true,"family":"Linhart","given":"Mike","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":306817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98880,"text":"sir20105208 - 2010 - Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska","interactions":[],"lastModifiedDate":"2016-11-10T15:32:11","indexId":"sir20105208","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","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":"2010-5208","title":"Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska","docAbstract":"This report documents development of a spatially explicit river and flood-plain classification to evaluate potential for cottonwood restoration along the Sharpe and Fort Randall segments of the Middle Missouri River. This project involved evaluating existing topographic, water-surface elevation, and soils data to determine if they were sufficient to create a classification similar to the Land Capability Potential Index (LCPI) developed by Jacobson and others (U.S. Geological Survey Scientific Investigations Report 2007–5256) and developing a geomorphically based classification to apply to evaluating restoration potential.
Existing topographic, water-surface elevation, and soils data for the Middle Missouri River were not sufficient to replicate the LCPI. The 1/3-arc-second National Elevation Dataset delineated most of the topographic complexity and produced cumulative frequency distributions similar to a high-resolution 5-meter topographic dataset developed for the Lower Missouri River. However, lack of bathymetry in the National Elevation Dataset produces a potentially critical bias in evaluation of frequently flooded surfaces close to the river. High-resolution soils data alone were insufficient to replace the information content of the LCPI. In test reaches in the Lower Missouri River, soil drainage classes from the Soil Survey Geographic Database database correctly classified 0.8–98.9 percent of the flood-plain area at or below the 5-year return interval flood stage depending on state of channel incision; on average for river miles 423–811, soil drainage class correctly classified only 30.2 percent of the flood-plain area at or below the 5-year return interval flood stage. Lack of congruence between soil characteristics and present-day hydrology results from relatively rapid incision and aggradation of segments of the Missouri River resulting from impoundments and engineering. The most sparsely available data in the Middle Missouri River were water-surface elevations. Whereas hydraulically modeled water-surface elevations were available at 1.6-kilometer intervals in the Lower Missouri River, water-surface elevations in the Middle Missouri River had to be interpolated between streamflow-gaging stations spaced 3–116 kilometers. Lack of high-resolution water-surface elevation data precludes development of LCPI-like classification maps.
An hierarchical river classification framework is proposed to provide structure for a multiscale river classification. The segment-scale classification presented in this report is deductive and based on presumed effects of dams, significant tributaries, and geological (and engineered) channel constraints. An inductive reach-scale classification, nested within the segment scale, is based on multivariate statistical clustering of geomorphic data collected at 500-meter intervals along the river. Cluster-based classifications delineate reaches of the river with similar channel and flood-plain geomorphology, and presumably, similar geomorphic and hydrologic processes. The dominant variables in the clustering process were channel width (Fort Randall) and valley width (Sharpe), followed by braiding index (both segments).
Clusters with multithread and highly sinuous channels are likely to be associated with dynamic channel migration and deposition of fresh, bare sediment conducive to natural cottonwood germination. However, restoration potential within these reaches is likely to be mitigated by interaction of cottonwood life stages with the highly altered flow regime.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105208","collaboration":"Prepared in cooperation with the Missouri River Recovery-Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"Jacobson, R.B., Elliott, C.M., and Huhmann, B.L., 2010, Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska: U.S. Geological Survey Scientific Investigations Report 2010-5208, vi, 38 p., https://doi.org/10.3133/sir20105208.","productDescription":"vi, 38 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":126065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5208.jpg"},{"id":330951,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5208/pdf/sir2010_5208.pdf","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":14298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5208/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.16666666666667,43.833333333333336 ], [ -100.16666666666667,44.5 ], [ -99.41666666666667,44.5 ], [ -99.41666666666667,43.833333333333336 ], [ -100.16666666666667,43.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db6609cc","contributors":{"authors":[{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huhmann, Brittany L.","contributorId":31725,"corporation":false,"usgs":true,"family":"Huhmann","given":"Brittany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98884,"text":"sir20105131 - 2010 - Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105131","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","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":"2010-5131","title":"Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004","docAbstract":"The U.S. Geological Survey conducted a survey of juvenile fisheries resources, in cooperation with the St. Johns River Water Management District and Volusia County, to establish baseline data on spatial and temporal distribution patterns of estuarine fish. The survey was conducted from November 2001 to March 2005 and the baseline data established for the survey in the Northern Coastal Basins were collected from January 2002 to December 2004. The study area included the bar-built estuaries ranging from just north of St. Augustine, Florida, south to Ponce de Leon Inlet. Sampling protocols developed by the Florida Fish and Wildlife Research Institute for their statewide Fisheries Independent Monitoring (FIM) program were replicated to allow for comparability with FIM program results. Samples were collected monthly from randomly selected stations based on a geographically stratified design. Finfish and selected invertebrates were collected using a 21.3-meter center-bag seine with a 3-millimeter mesh, and a 6.1-meter otter trawl with a 3-millimeter mesh liner. Total estimated fish and selected invertebrate densities were similar to estimates from FIM projects in adjacent areas and were characterized by similar dominant species. Preliminary analysis indicates that observed species distribution patterns were mainly a function of proximity to the three inlets within the study area. The two regions encompassing the northern Tolomato River and the Tomoka River and Basin are farthest from inlets and appear to function as oligohaline nursery areas. Those two areas had the greatest estimated densities of shellfish and juvenile sciaenid (drum) species associated with oligohaline waters (for example, Micropogonias undulatus, Sciaenops ocellatus and Cynoscion nebulosus). Samples near inlets, and between the two northern inlets, had greater estimated densities of species limited to euhaline waters, including juvenile clupeids collected at relatively high abundance and species of marine strays collected in low abundance. Based on correspondence analysis, seasonal variation dominated the ordination of seine samples and spatial variation dominated the ordination of trawl samples; this was due to differences in the number and timing of taxa found near inlets versus oligohaline regions. The absence of seagrass habitat in the Northern Coastal Basins is reflected by the absence of a seagrass-fish assemblage. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105131","collaboration":"Prepared in cooperation with\r\nSt. Johns River Water Management District and\r\nVolusia County ","usgsCitation":"Turtora, M., and Schotman, E.M., 2010, Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004: U.S. Geological Survey Scientific Investigations Report 2010-5131, vi, 34 p.; Appendices, https://doi.org/10.3133/sir20105131.","productDescription":"vi, 34 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"2001-11-01","temporalEnd":"2005-03-31","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":126064,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5131.jpg"},{"id":14302,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5131/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,28.5 ], [ -82,30.5 ], [ -80.25,30.5 ], [ -80.25,28.5 ], [ -82,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc41d","contributors":{"authors":[{"text":"Turtora, Michael mturtora@usgs.gov","contributorId":4260,"corporation":false,"usgs":true,"family":"Turtora","given":"Michael","email":"mturtora@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":306829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schotman, Elizabeth M.","contributorId":98693,"corporation":false,"usgs":true,"family":"Schotman","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98882,"text":"tm1D4 - 2010 - Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies","interactions":[],"lastModifiedDate":"2019-08-02T10:10:01","indexId":"tm1D4","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D4","title":"Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies","docAbstract":"The success of an environmental monitoring study using passive samplers, or any sampling method, begins in the office or laboratory. Regardless of the specific methods used, the general steps include the formulation of a sampling plan, training of personnel, performing the field (sampling) work, processing the collected samples to recover chemicals of interest, analysis of the enriched extracts, and interpretation of the data. Each of these areas will be discussed in the following sections with emphasis on specific considerations with the use of passive samplers.\r\n\r\nWater is an extremely heterogeneous matrix both spatially and temporally (Keith, 1991). The mixing and distribution of dissolved organic chemicals in a water body are controlled by the hydrodynamics of the water, the sorption partition coefficients of the chemicals, and the amount of organic matter (suspended sediments, colloids, and dissolved organic carbon) present. In lakes and oceans, stratification because of changes in temperature, water movement, and water composition can occur resulting in dramatic changes in chemical concentrations with depth (Keith, 1991). Additional complications related to episodic events, such as surface runoff, spills, and other point source contamination, can result in isolated or short-lived pulses of contaminants in the water.\r\n\r\nThe application of passive sampling technologies for the monitoring of legacy and emerging organic chemicals in the environment is becoming widely accepted worldwide. The primary use of passive sampling methods for environmental studies is in the area of surface-water monitoring; however, these techniques have been applied to air and groundwater monitoring studies. Although these samplers have no mechanical or moving parts, electrical or fuel needs which require regular monitoring, there are still considerations that need to be understood in order to have a successful study.\r\n\r\nTwo of the most commonly used passive samplers for organic contaminants are the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS). The tips given in this document focus on these two samplers but are applicable to most types of passive sampling devices. The information in this guide is heavily weighted towards the sampling of water; however, information specific to the use of SPMDs for air sampling will also be covered.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Water quality in Book 1: Collection of water data by direct measurement","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D4","usgsCitation":"Alvarez, D.A., 2010, Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies: U.S. Geological Survey Techniques and Methods 1-D4, v, 28 p., https://doi.org/10.3133/tm1D4.","productDescription":"v, 28 p.","numberOfPages":"38","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":126768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_1_d4.jpg"},{"id":14300,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm1d4/","linkFileType":{"id":5,"text":"html"}},{"id":341727,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm1d4/pdf/tm1d4.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"publicComments":"This report is Chapter 4 of Section D: Water quality in Book 1: Collection of water data by direct measurement","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a29d","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306822,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98873,"text":"sir20105134 - 2010 - Characterization of geologic deposits in the vicinity of US Ecology, Amargosa Basin, southern Nevada","interactions":[],"lastModifiedDate":"2019-08-08T10:39:39","indexId":"sir20105134","displayToPublicDate":"2010-11-11T00:00:00","publicationYear":"2010","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":"2010-5134","title":"Characterization of geologic deposits in the vicinity of US Ecology, Amargosa Basin, southern Nevada","docAbstract":"Multiple approaches have been applied to better understand the characteristics of geologic units exposed at the surface and buried at depth in the vicinity of US Ecology (USE), a low-level commercial waste site in the northern Amargosa Desert, Nevada. Techniques include surficial geologic mapping and interpretation of the subsurface using borehole data. Dated deposits at depth were used to estimate rates of sediment accumulation. The subsurface lithologies have been modeled in three dimensions. Lithologic cross sections have been created from the three-dimensional model and have been compared to resistivity data at the same location. Where deposits appear offset, a fault was suspected. Global Positioning System elevation transects were measured and trenches were excavated to locate a strand of the Carrara Fault. The presence of the fault helps to better understand the shape of the potentiometric surface. These data will be used to better understand the hydrologic parameters controlling the containment of the waste at US Ecology.
Quaternary geologic units exposed at the surface, in the vicinity of US Ecology, are derived from the alluvium shed off the adjacent range front and the Amargosa River. These deposits vary from modern to early Pleistocene in age. At depth, heterogeneous sands and gravel occur. Observed in deep trenches and boreholes, the subsurface deposits are characterized as fining-upward sequence of sediment from 5- to 8-meters thick. No volcanic units or fine-grained playa deposits were described in the boreholes to a depth of 200 meters. Based on Infrared Stimulated Luminescence dated core samples, short-term rates of sediment accumulation (<70,000 years) are an average of 2.7 millimeters per year, however, long-term rates (<3,900,000 years) are orders of magnitude less. Resistivity data, when compared to lithologic cross sections, generally are consistent with lithology grain size and probable soil carbonate accumulations. Surface resistivity displays a fining-upward sequence of sediments at the surface with a soil carbonate imprint. Finally, trenching north of US Ecology successfully exposed offset Quaternary deposits on a splay of the Carrara Fault. Holocene deposits do not appear to be faulted, however, a fault zone does intersect middle and late Pleistocene aged units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105134","usgsCitation":"Taylor, E.M., 2010, Characterization of geologic deposits in the vicinity of US Ecology, Amargosa Basin, southern Nevada: U.S. Geological Survey Scientific Investigations Report 2010-5134, Report: vi, 37 p.; Appendix, https://doi.org/10.3133/sir20105134.","productDescription":"Report: vi, 37 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":132235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":350781,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5134/downloads/Appendix1.xlsx","text":"Appendix 1","size":"224 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":350780,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5134/downloads/SIR10-5134.pdf","text":"Report","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":14290,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5134/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Amargosa Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,36.6 ], [ -117,36.9 ], [ -116,36.9 ], [ -116,36.6 ], [ -117,36.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4ddd","contributors":{"authors":[{"text":"Taylor, Emily M. 0000-0003-1152-5761 emtaylor@usgs.gov","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":1240,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","email":"emtaylor@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":306791,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98877,"text":"sir20105151 - 2010 - Relation of water quality to land use in the drainage basins of six tributaries to the lower Delaware River, New Jersey, 2002-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105151","displayToPublicDate":"2010-11-11T00:00:00","publicationYear":"2010","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":"2010-5151","title":"Relation of water quality to land use in the drainage basins of six tributaries to the lower Delaware River, New Jersey, 2002-07","docAbstract":"Concentrations and loads of water-quality constituents in six streams in the lower Delaware River Basin of New Jersey were determined in a multi-year study conducted by the U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection. Two streams receive water from relatively undeveloped basins, two from largely agricultural basins, and two from heavily urbanized basins. Each stream was monitored during eight storms and at least eight times during base flow during 2002-07. Sampling was conducted during base flow before each storm, when stage was first observed to rise, and several times during the rising limb of the hydrographs. Agricultural and urban land use has resulted in statistically significant increases in loads of nitrogen and phosphorus species relative to loads in undeveloped basins. For example, during the growing season, median storm flow concentrations of total nitrogen in the two streams in agricultural areas were 6,290 and 1,760 mg/L, compared to 988 and 823 mg/L for streams in urban areas, and 719 and 333 mg/L in undeveloped areas. Although nutrient concentrations and loads were clearly related to land useurban, agricultural, and undeveloped within the drainage basins, other basin characteristics were found to be important. Residual nutrients entrapped in lake sediments from streams that received effluent from recently removed sewage-treatment plants are hypothesized to be the cause of extremely high levels of nutrient loads to one urban stream, whereas another urban stream with similar land-use percentages (but without the legacy of sewage-treatment plants) had much lower levels of nutrients. One of the two agricultural streams studied had higher nutrient loads than the other, especially for total phosphorous and organic nitrogen. This difference appears to be related to the presence (or absence) of livestock (cattle).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105151","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Baker, R.J., and Esralew, R.A., 2010, Relation of water quality to land use in the drainage basins of six tributaries to the lower Delaware River, New Jersey, 2002-07: U.S. Geological Survey Scientific Investigations Report 2010-5151, x, 52 p.; Appendix, https://doi.org/10.3133/sir20105151.","productDescription":"x, 52 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":126162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5151.jpg"},{"id":14294,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5151/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,39 ], [ -76,40.5 ], [ -74,40.5 ], [ -74,39 ], [ -76,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1f7","contributors":{"authors":[{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168477,"text":"70168477 - 2010 - Seasonal meso- and microhabitat selection by the northern snakehead (Channa argus) in the Potomac river system","interactions":[],"lastModifiedDate":"2016-02-16T14:56:02","indexId":"70168477","displayToPublicDate":"2010-11-11T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal meso- and microhabitat selection by the northern snakehead (Channa argus) in the Potomac river system","docAbstract":"The northern snakehead (Channa argus) is a large piscivorous fish that is invasive in eastern Europe and has recently been introduced in North America. We examined the seasonal habitat selection at meso- and microhabitat scales using radio-telemetry to increase understanding of the ecology of this species, which will help to inform management decisions. After the spawning season (postspawn season, September–November), northern snakeheads preferred offshore Eurasian water-milfoil (Myriophyllum spicatum) beds with shallow water (∼115 cm) and soft substrate. In the winter (November–April), these fish moved to deeper water (∼135 cm) with warmer temperatures, but habitat selection was weak at both scales. Northern snakeheads returned to shallower water (∼95 cm) in the prespawn season (April–June) and used milfoil and other cover. Habitat selection was the strongest at both meso- and microhabitat scales during the spawning season (June–September), when fish preferred macrophytes and cover in shallow water (∼88 cm). Our results help to identify habitats at the risk of invasion by northern snakeheads. We suggest that control efforts and future research focus on shallow waters, and take into consideration the seasonal habitat preferences.
","language":"English","publisher":"Munksgaard","publisherLocation":"Copenhagen, Denmark","doi":"10.1111/j.1600-0633.2010.00437.x","usgsCitation":"Lapointe, N., Thorson, J., and Angermeier, P., 2010, Seasonal meso- and microhabitat selection by the northern snakehead (Channa argus) in the Potomac river system: Ecology of Freshwater Fish, v. 19, no. 10, p. 566-577, https://doi.org/10.1111/j.1600-0633.2010.00437.x.","productDescription":"12 p.","startPage":"566","endPage":"577","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019480","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.20298767089842,\n 38.63457282385875\n ],\n [\n -77.20298767089842,\n 38.74444410121548\n ],\n [\n -77.0526123046875,\n 38.74444410121548\n ],\n [\n -77.0526123046875,\n 38.63457282385875\n ],\n [\n -77.20298767089842,\n 38.63457282385875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-11-11","publicationStatus":"PW","scienceBaseUri":"56c45655e4b0946c652185bf","contributors":{"authors":[{"text":"Lapointe, N.W.R.","contributorId":76558,"corporation":false,"usgs":true,"family":"Lapointe","given":"N.W.R.","email":"","affiliations":[],"preferred":false,"id":620482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorson, J.T.","contributorId":72626,"corporation":false,"usgs":true,"family":"Thorson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":620568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, P. L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":6410,"corporation":false,"usgs":true,"family":"Angermeier","given":"P. L.","affiliations":[],"preferred":false,"id":620569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98878,"text":"sir20105155 - 2010 - Surface-water quantity and quality, aquatic biology, stream geomorphology, and groundwater-flow simulation for National Guard Training Center at Fort Indiantown Gap, Pennsylvania, 2002-05","interactions":[],"lastModifiedDate":"2017-06-22T09:09:14","indexId":"sir20105155","displayToPublicDate":"2010-11-11T00:00:00","publicationYear":"2010","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":"2010-5155","title":"Surface-water quantity and quality, aquatic biology, stream geomorphology, and groundwater-flow simulation for National Guard Training Center at Fort Indiantown Gap, Pennsylvania, 2002-05","docAbstract":"Base-line and long-term monitoring of water resources of the National Guard Training Center at Fort Indiantown Gap in south-central Pennsylvania began in 2002. Results of continuous monitoring of streamflow and turbidity and monthly and stormflow water-quality samples from two continuous-record long-term stream sites, periodic collection of water-quality samples from five miscellaneous stream sites, and annual collection of biological data from 2002 to 2005 at 27 sites are discussed. In addition, results from a stream-geomorphic analysis and classification and a regional groundwater-flow model are included. Streamflow at the facility was above normal for the 2003 through 2005 water years and extremely high-flow events occurred in 2003 and in 2004. Water-quality samples were analyzed for nutrients, sediments, metals, major ions, pesticides, volatile and semi-volatile organic compounds, and explosives. Results indicated no exceedances for any constituent (except iron) above the primary and secondary drinking-water standards or health-advisory levels set by the U.S. Environmental Protection Agency. Iron concentrations were naturally elevated in the groundwater within the watershed because of bedrock lithology. The majority of the constituents were at or below the method detection limit. Sediment loads were dominated by precipitation due to the remnants of Hurricane Ivan in September 2004. More than 60 percent of the sediment load measured during the entire study was transported past the streamgage in just 2 days during that event. Habitat and aquatic-invertebrate data were collected in the summers of 2002-05, and fish data were collected in 2004. Although 2002 was a drought year, 2003-05 were above-normal flow years. Results indicated a wide diversity in invertebrates, good numbers of taxa (distinct organisms), and on the basis of a combination of metrics, the majority of the 27 sites indicated no or slight impairment. Fish-metric data from 25 sites indicated results similar to the invertebrate data. Stream classification based on evolution of the stream channels indicates about 94 percent of the channels were considered to be in equilibrium (type B or C channels), neither aggrading nor eroding. A regional, uncalibrated groundwater-flow model indicated the surface-water and groundwater-flow divides coincided. Because of folding of rock layers, groundwater was under confined conditions and nearly all the water leaves the facility via the streams.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105155","collaboration":"Prepared in cooperation with the Pennsylvania Department of Military and Veterans Affairs","usgsCitation":"Langland, M.J., Cinotto, P.J., Chichester, D.C., Bilger, M.D., and Brightbill, R.A., 2010, Surface-water quantity and quality, aquatic biology, stream geomorphology, and groundwater-flow simulation for National Guard Training Center at Fort Indiantown Gap, Pennsylvania, 2002-05: U.S. Geological Survey Scientific Investigations Report 2010-5155, viii, 48 p.; Appendices, https://doi.org/10.3133/sir20105155.","productDescription":"viii, 48 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":126164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5155.jpg"},{"id":14295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5155/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.78333333333333,40.36666666666667 ], [ -76.78333333333333,40.5 ], [ -76.46666666666667,40.5 ], [ -76.46666666666667,40.36666666666667 ], [ -76.78333333333333,40.36666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68a597","contributors":{"authors":[{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cinotto, Peter J. pcinotto@usgs.gov","contributorId":451,"corporation":false,"usgs":true,"family":"Cinotto","given":"Peter","email":"pcinotto@usgs.gov","middleInitial":"J.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chichester, Douglas C.","contributorId":83883,"corporation":false,"usgs":true,"family":"Chichester","given":"Douglas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilger, Michael D.","contributorId":13589,"corporation":false,"usgs":true,"family":"Bilger","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98876,"text":"fs20103086 - 2010 - Pennsylvania StreamStats: A web-based application for obtaining water-resource-related information","interactions":[],"lastModifiedDate":"2022-12-01T19:54:58.251975","indexId":"fs20103086","displayToPublicDate":"2010-11-11T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3086","title":"Pennsylvania StreamStats: A web-based application for obtaining water-resource-related information","docAbstract":"StreamStats is a national web-based Geographic Information System (GIS) application, developed by the U.S. Geological Survey (USGS), in cooperation with Environmental Systems Research Institute, Inc., to provide a variety of water-resource-related information. Users can easily obtain descriptive information, basin characteristics, and streamflow statistics for USGS streamgages and ungaged stream locations throughout Pennsylvania. StreamStats also allows users to search upstream and (or) downstream from user-selected points to identify locations of and obtain information for water-resource-related activities, such as dams and streamgages.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103086","usgsCitation":"Stuckey, M.H., and Hoffman, S.A., 2010, Pennsylvania StreamStats: A web-based application for obtaining water-resource-related information: U.S. Geological Survey Fact Sheet 2010-3086, 2 p., https://doi.org/10.3133/fs20103086.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":126160,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3086.jpg"},{"id":14293,"rank":100,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68886f","contributors":{"authors":[{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Scott A. shoffman@usgs.gov","contributorId":2634,"corporation":false,"usgs":true,"family":"Hoffman","given":"Scott","email":"shoffman@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157538,"text":"70157538 - 2010 - Trends in live-bed pier scour at selected bridges in South Carolina","interactions":[],"lastModifiedDate":"2022-11-03T13:57:55.706699","indexId":"70157538","displayToPublicDate":"2010-11-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Trends in live-bed pier scour at selected bridges in South Carolina","docAbstract":"The U.S. Geological Survey, in cooperation with the South Carolina Department of Transportation, used ground-penetrating radar to collect measurements of live-bed pier scour at 78 bridges in the Piedmont and Coastal Plain physiographic provinces of South Carolina. The 141 measurements of live-bed pier-scour depth ranged from 0.5 to 5.1 meters. Using hydraulic data estimated with a one-dimensional flow model, predicted live-bed scour depths were computed with scour equations from the Hydraulic Engineering Circular 18 and compared with measured scour. This comparison indicated that predicted pier-scour depths generally exceeded the measured pier-scour depths. At times, predicted pier-scour depths were excessive with overpredictions as large as 7.0 meters. Relations in the live-bed pier-scour data also were investigated, leading to the development of an envelope curve for assessing the upper-bound of live-bed pier scour using pier width as the primary explanatory variable. The envelope curve developed with the field data has limitations, but it can be used as a supplementary tool for assessing the potential for live-bed pier scour in South Carolina. This paper will present findings related to the field investigation of live-bed pier scour. A companion paper presents findings related to live-bed contraction scour that was studied during the same field investigation.
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Carolina\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"56067041e4b058f706e51970","contributors":{"editors":[{"text":"Burns, Susan E.","contributorId":147968,"corporation":false,"usgs":false,"family":"Burns","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":573493,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bhatia, Shobha K.","contributorId":147969,"corporation":false,"usgs":false,"family":"Bhatia","given":"Shobha","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":573494,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Avila, Catherine","contributorId":147970,"corporation":false,"usgs":false,"family":"Avila","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":573495,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hunt, Beatrice 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They boast the highest diversity of all marine ecosystems, aid in the development and protection of other important, productive coastal marine communities, and have provided millions of people with food, building materials, protection from storms, recreation and social stability over thousands of years, and more recently, income, active pharmacological compounds and other benefits. These communities have been deteriorating rapidly in recent times. The continuous emergence of coral reef diseases and increase in bleaching events caused in part by high water temperatures among other factors underscore the need for intensive assessments of their ecological status and causes and their impact on coral reefs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coral reefs: An ecosystem in transition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-007-0114-4_27","usgsCitation":"Rogers, C.S., and Weil, E., 2010, Coral reef diseases in the Atlantic-Caribbean, chap. of Coral reefs: An ecosystem in transition, p. 465-492, https://doi.org/10.1007/978-94-007-0114-4_27.","productDescription":"27 p.","startPage":"465","endPage":"492","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019145","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":307176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic-Caribbean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5,\n 8.0\n ],\n [\n -56.5,\n 8.0\n ],\n [\n -56.5,\n 26\n ],\n [\n -75.5,\n 26\n ],\n [\n -75.5,\n 8.00\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2010-11-09","publicationStatus":"PW","scienceBaseUri":"57fe81f2e4b0824b2d148386","contributors":{"editors":[{"text":"Dubinsky, Zvy","contributorId":146874,"corporation":false,"usgs":false,"family":"Dubinsky","given":"Zvy","email":"","affiliations":[],"preferred":false,"id":569266,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Stambler, Noga","contributorId":146875,"corporation":false,"usgs":false,"family":"Stambler","given":"Noga","email":"","affiliations":[],"preferred":false,"id":569267,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":569264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weil, Ernesto","contributorId":105212,"corporation":false,"usgs":true,"family":"Weil","given":"Ernesto","affiliations":[],"preferred":false,"id":569265,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98870,"text":"fs20103100 - 2010 - The U.S.Geological Survey Energy Resources Program","interactions":[{"subject":{"id":79281,"text":"fs20063128 - 2006 - The U.S. Geological Survey Energy Resources Program","indexId":"fs20063128","publicationYear":"2006","noYear":false,"title":"The U.S. Geological Survey Energy Resources Program"},"predicate":"SUPERSEDED_BY","object":{"id":98870,"text":"fs20103100 - 2010 - The U.S.Geological Survey Energy Resources Program","indexId":"fs20103100","publicationYear":"2010","noYear":false,"title":"The U.S.Geological Survey Energy Resources Program"},"id":1}],"lastModifiedDate":"2012-02-02T00:04:34","indexId":"fs20103100","displayToPublicDate":"2010-11-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3100","title":"The U.S.Geological Survey Energy Resources Program","docAbstract":"Energy resources are an essential component of modern society. Adequate, reliable, and affordable energy supplies obtained using environmentally sustainable practices underpin economic prosperity, environmental quality and human health, and political stability. National and global demands for all forms of energy are forecast to increase significantly over the next several decades. Throughout its history, our Nation has faced important, often controversial, decisions regarding the competing uses of public lands, the supply of energy to sustain development and enable growth, and environmental stewardship. \r\n\r\nThe U.S. Geological Survey (USGS) Energy Resources Program (ERP) provides information to address these challenges by supporting scientific investigations of energy resources, such as research on the geology, geochemistry, and geophysics of oil, gas, coal, heavy oil and natural bitumen, oil shale, uranium, and geothermal resources, emerging resources such as gas hydrates, and research on the effects associated with energy resource occurrence, production, and (or) utilization. The results from these investigations provide impartial, robust scientific information about energy resources and support the U.S. Department of the Interior's (DOI's) mission of protecting and responsibly managing the Nation's natural resources. Primary consumers of ERP information and products include the DOI land- and resource-management Bureaus; other Federal, State, and local agencies; the U.S. Congress and the Administration; nongovernmental organizations; the energy industry; academia; international organizations; and the general public.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103100","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, The U.S.Geological Survey Energy Resources Program: U.S. Geological Survey Fact Sheet 2010-3100, 6 p., https://doi.org/10.3133/fs20103100.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":126766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3100.jpg"},{"id":14286,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3100/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6729a4","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98871,"text":"fs20103106 - 2010 - Water security-National and global issues","interactions":[],"lastModifiedDate":"2012-02-02T00:04:34","indexId":"fs20103106","displayToPublicDate":"2010-11-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3106","title":"Water security-National and global issues","docAbstract":"Potable or clean freshwater availability is crucial to life and economic, environmental, and social systems. The amount of freshwater is finite and makes up approximately 2.5 percent of all water on the Earth. Freshwater supplies are small and randomly distributed, so water resources can become points of conflict. Freshwater availability depends upon precipitation patterns, changing climate, and whether the source of consumed water comes directly from desalination, precipitation, or surface and (or) groundwater. At local to national levels, difficulties in securing potable water sources increase with growing populations and economies. Available water improves living standards and drives urbanization, which increases average water consumption per capita. Commonly, disruptions in sustainable supplies and distribution of potable water and conflicts over water resources become major security issues for Government officials. Disruptions are often influenced by land use, human population, use patterns, technological advances, environmental impacts, management processes and decisions, transnational boundaries, and so forth.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103106","collaboration":"National Research Program\r\n","usgsCitation":"Tindall, J.A., and Campbell, A.A., 2010, Water security-National and global issues: U.S. Geological Survey Fact Sheet 2010-3106, 6 p., https://doi.org/10.3133/fs20103106.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":126047,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3106.jpg"},{"id":14287,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3106/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f01d2","contributors":{"authors":[{"text":"Tindall, James A. 0000-0002-0940-1586 jtindall@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-1586","contributorId":2529,"corporation":false,"usgs":true,"family":"Tindall","given":"James","email":"jtindall@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":306785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Andrew A.","contributorId":97861,"corporation":false,"usgs":true,"family":"Campbell","given":"Andrew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000289,"text":"sim3139 - 2010 - Potentiometric Surface of the Upper Floridan Aquifer, West-central Florida, May 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"sim3139","displayToPublicDate":"2010-11-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3139","title":"Potentiometric Surface of the Upper Floridan Aquifer, West-central Florida, May 2010","docAbstract":"The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing fresh water are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000).\r\n\r\nThis map report shows the potentiometric surface of the Upper Floridan aquifer measured in May 2010. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the dry season, when groundwater levels usually are at an annual low and withdrawals for agricultural use typically are high. The cumulative average rainfall of 55.21 inches for west-central Florida (from June 2009 through May 2010) was 2.55 inches above the historical cumulative average of 52.66 inches (Southwest Florida Water Management District, 2010). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District.\r\n\r\nThis report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September since 1975. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively.\r\n\r\nMost of the water-level data for this map were collected by the U.S. Geological Survey during the period May 17-21, 2010. Supplemental water-level data were collected by other agencies and companies. Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a 'snapshot' of conditions at a specific time, nor do they necessarily coincide with the seasonal low water-level condition. 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