Water-use data were aggregated for the 78 municipios of the Commonwealth of Puerto Rico for 2010. Five major offstream categories were considered: public-supply water withdrawals and deliveries, domestic and industrial self-supplied water use, crop-irrigation water use, and thermoelectric-power freshwater use. One instream water-use category also was compiled: power-generation instream water use (thermoelectric saline withdrawals and hydroelectric power). Freshwater withdrawals for offstream use from surface-water [606 million gallons per day (Mgal/d)] and groundwater (118 Mgal/d) sources in Puerto Rico were estimated at 724 million gallons per day. The largest amount of freshwater withdrawn was by public-supply water facilities estimated at 677 Mgal/d. Public-supply domestic water use was estimated at 206 Mgal/d. Fresh groundwater withdrawals by domestic self-supplied users were estimated at 2.41 Mgal/d. Industrial self-supplied withdrawals were estimated at 4.30 Mgal/d. Withdrawals for crop irrigation purposes were estimated at 38.2 Mgal/d, or approximately 5 percent of all offstream freshwater withdrawals. Instream freshwater withdrawals by hydroelectric facilities were estimated at 556 Mgal/d and saline instream surface-water withdrawals for cooling purposes by thermoelectric-power facilities was estimated at 2,262 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141117","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority, Puerto Rico Department of Natural and Environmental Resources, and Puerto Rico Environmental Quality Board","usgsCitation":"Molina-Rivera, W.L., 2014, Estimated water use in Puerto Rico, 2010: U.S. Geological Survey Open-File Report 2014-1117, Report: vi, 35 p.; Appendix A1, https://doi.org/10.3133/ofr20141117.","productDescription":"Report: vi, 35 p.; Appendix A1","numberOfPages":"44","onlineOnly":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-050690","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":293157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141117.jpg"},{"id":293156,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1117/pdf/ofr2014-1117.pdf"},{"id":293155,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1117/"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.25,17.75 ], [ -67.25,18.5 ], [ -65.25,18.5 ], [ -65.25,17.75 ], [ -67.25,17.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54003433e4b04e908030b53b","contributors":{"authors":[{"text":"Molina-Rivera, Wanda L. 0000-0001-5856-283X","orcid":"https://orcid.org/0000-0001-5856-283X","contributorId":54190,"corporation":false,"usgs":true,"family":"Molina-Rivera","given":"Wanda","email":"","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494487,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70122284,"text":"70122284 - 2014 - A nuclear DNA perspective on delineating evolutionarily significant lineages in polyploids: the case of the endangered shortnose sturgeon (Acipenser brevirostrum)","interactions":[],"lastModifiedDate":"2014-09-23T13:58:35","indexId":"70122284","displayToPublicDate":"2014-08-28T13:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A nuclear DNA perspective on delineating evolutionarily significant lineages in polyploids: the case of the endangered shortnose sturgeon (Acipenser brevirostrum)","docAbstract":"The shortnose sturgeon, Acipenser brevirostrum, oft considered a phylogenetic relic, is listed as an “endangered species threatened with extinction” in the US and “Vulnerable” on the IUCN Red List. Effective conservation of A. brevirostrum depends on understanding its diversity and evolutionary processes, yet challenges associated with the polyploid nature of its nuclear genome have heretofore limited population genetic analysis to maternally inherited haploid characters. We developed a suite of polysomic microsatellite DNA markers and characterized a sample of 561 shortnose sturgeon collected from major extant populations along the North American Atlantic coast. The 181 alleles observed at 11 loci were scored as binary loci and the data were subjected to multivariate ordination, Bayesian clustering, hierarchical partitioning of variance, and among-population distance metric tests. The methods uncovered moderately high levels of gene diversity suggesting population structuring across and within three metapopulations (Northeast, Mid-Atlantic, and Southeast) that encompass seven demographically discrete and evolutionarily distinct lineages. The predicted groups are consistent with previously described behavioral patterns, especially dispersal and migration, supporting the interpretation that A. brevirostrum exhibit adaptive differences based on watershed. Combined with results of prior genetic (mitochondrial DNA) and behavioral studies, the current work suggests that dispersal is an important factor in maintaining genetic diversity in A. brevirostrum and that the basic unit for conservation management is arguably the local population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0102784","usgsCitation":"King, T.L., Henderson, A.P., Kynard, B.E., Kieffer, M.C., Peterson, D.L., Aunins, A.W., and Brown, B.L., 2014, A nuclear DNA perspective on delineating evolutionarily significant lineages in polyploids: the case of the endangered shortnose sturgeon (Acipenser brevirostrum): PLoS ONE, v. 9, no. 8, e102784, https://doi.org/10.1371/journal.pone.0102784.","productDescription":"e102784","numberOfPages":"16","ipdsId":"IP-055543","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102784","text":"Publisher Index Page"},{"id":294357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102784"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.84,30.5 ], [ -83.84,46.5 ], [ -67.1,46.5 ], [ -67.1,30.5 ], [ -83.84,30.5 ] ] ] } } ] }","volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-28","publicationStatus":"PW","scienceBaseUri":"5422bb08e4b08312ac7ceec0","contributors":{"authors":[{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":499487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Anne P.","contributorId":29290,"corporation":false,"usgs":true,"family":"Henderson","given":"Anne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":499490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kynard, Boyd E.","contributorId":53712,"corporation":false,"usgs":true,"family":"Kynard","given":"Boyd","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":499493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kieffer, Micah C. 0000-0001-9310-018X","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":40532,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":499492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Douglas L.","contributorId":38911,"corporation":false,"usgs":true,"family":"Peterson","given":"Douglas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":499488,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Bonnie L.","contributorId":23083,"corporation":false,"usgs":false,"family":"Brown","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499489,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70122645,"text":"70122645 - 2014 - Freshwater mussel population status and habitat quality in the Clinch River, Virginia and Tennessee, USA: a featured collection","interactions":[],"lastModifiedDate":"2016-07-08T12:06:46","indexId":"70122645","displayToPublicDate":"2014-08-28T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater mussel population status and habitat quality in the Clinch River, Virginia and Tennessee, USA: a featured collection","docAbstract":"The Clinch River of southwestern Virginia and northeastern Tennessee is arguably the most important river for freshwater mussel conservation in the United States. This featured collection presents investigations of mussel population status and habitat quality in the Clinch River. Analyses of historic water- and sediment-quality data suggest that water column ammonia and water column and sediment metals, including Cu and Zn, may have contributed historically to declining densities and extirpations of mussels in the river's Virginia sections. These studies also reveal increasing temporal trends for dissolved solids concentrations throughout much of the river's extent. Current mussel abundance patterns do not correspond spatially with physical habitat quality, but they do correspond with specific conductance, dissolved major ions, and water column metals, suggesting these and/or associated constituents as factors contributing to mussel declines. Mussels are sensitive to metals. Native mussels and hatchery-raised mussels held in cages in situ accumulated metals in their body tissues in river sections where mussels are declining. Organic compound and bed-sediment contaminant analyses did not reveal spatial correspondences with mussel status metrics, although potentially toxic levels were found. Collectively, these studies identify major ions and metals as water- and sediment-quality concerns for mussel conservation in the Clinch River.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12220","usgsCitation":"Zipper, C.E., Beaty, B., Johnson, G.C., Jones, J.W., Krstolic, J.L., Ostby, B.J., Wolfe, W., and Donovan, P., 2014, Freshwater mussel population status and habitat quality in the Clinch River, Virginia and Tennessee, USA: a featured collection: Journal of the American Water Resources Association, v. 50, no. 4, p. 807-819, https://doi.org/10.1111/jawr.12220.","productDescription":"13 p.","startPage":"807","endPage":"819","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045007","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":293149,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.364 ], [ -83.6754,37.5991 ], [ -81.2297,37.5991 ], [ -81.2297,36.364 ], [ -83.6754,36.364 ] ] ] } } ] }","volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"54003434e4b04e908030b542","contributors":{"authors":[{"text":"Zipper, Carl E.","contributorId":43683,"corporation":false,"usgs":true,"family":"Zipper","given":"Carl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":499539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaty, Braven","contributorId":21076,"corporation":false,"usgs":true,"family":"Beaty","given":"Braven","email":"","affiliations":[],"preferred":false,"id":499537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Gregory C. 0000-0003-3683-5010 gcjohnso@usgs.gov","orcid":"https://orcid.org/0000-0003-3683-5010","contributorId":1420,"corporation":false,"usgs":true,"family":"Johnson","given":"Gregory","email":"gcjohnso@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Jess W.","contributorId":84279,"corporation":false,"usgs":true,"family":"Jones","given":"Jess","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":499542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krstolic, Jennifer Lynn","contributorId":67015,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"","middleInitial":"Lynn","affiliations":[],"preferred":false,"id":499540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostby, Brett J.K.","contributorId":42863,"corporation":false,"usgs":true,"family":"Ostby","given":"Brett","email":"","middleInitial":"J.K.","affiliations":[],"preferred":false,"id":499538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":499536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donovan, Patricia","contributorId":70297,"corporation":false,"usgs":true,"family":"Donovan","given":"Patricia","affiliations":[],"preferred":false,"id":499541,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70122722,"text":"70122722 - 2014 - Can air temperature be used to project influences of climate change on stream temperature?","interactions":[],"lastModifiedDate":"2017-11-24T17:24:19","indexId":"70122722","displayToPublicDate":"2014-08-28T08:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Can air temperature be used to project influences of climate change on stream temperature?","docAbstract":"Worldwide, lack of data on stream temperature has motivated the use of regression-based statistical models to predict stream temperatures based on more widely available data on air temperatures. Such models have been widely applied to project responses of stream temperatures under climate change, but the performance of these models has not been fully evaluated. To address this knowledge gap, we examined the performance of two widely used linear and nonlinear regression models that predict stream temperatures based on air temperatures. We evaluated model performance and temporal stability of model parameters in a suite of regulated and unregulated streams with 11–44 years of stream temperature data. Although such models may have validity when predicting stream temperatures within the span of time that corresponds to the data used to develop them, model predictions did not transfer well to other time periods. Validation of model predictions of most recent stream temperatures, based on air temperature–stream temperature relationships from previous time periods often showed poor performance when compared with observed stream temperatures. Overall, model predictions were less robust in regulated streams and they frequently failed in detecting the coldest and warmest temperatures within all sites. In many cases, the magnitude of errors in these predictions falls within a range that equals or exceeds the magnitude of future projections of climate-related changes in stream temperatures reported for the region we studied (between 0.5 and 3.0 °C by 2080). The limited ability of regression-based statistical models to accurately project stream temperatures over time likely stems from the fact that underlying processes at play, namely the heat budgets of air and water, are distinctive in each medium and vary among localities and through time.","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/9/8/084015","usgsCitation":"Arismendi, I., Safeeq, M., Dunham, J., and Johnson, S.L., 2014, Can air temperature be used to project influences of climate change on stream temperature?: Environmental Research Letters, v. 9, no. 8, Article 084015; 12 p., https://doi.org/10.1088/1748-9326/9/8/084015.","productDescription":"Article 084015; 12 p.","numberOfPages":"12","ipdsId":"IP-052781","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/9/8/084015","text":"Publisher Index Page"},{"id":293143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"5400342fe4b04e908030b534","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":499664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safeeq, Mohammad 0000-0003-0529-3925","orcid":"https://orcid.org/0000-0003-0529-3925","contributorId":77814,"corporation":false,"usgs":false,"family":"Safeeq","given":"Mohammad","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":499665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":499663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499666,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70110904,"text":"sir20145103 - 2014 - Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada","interactions":[],"lastModifiedDate":"2017-09-19T16:22:06","indexId":"sir20145103","displayToPublicDate":"2014-08-27T14:32:00","publicationYear":"2014","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":"2014-5103","title":"Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada","docAbstract":"Snake Valley and surrounding areas, along the Utah-Nevada state border, are part of the Great Basin carbonate and alluvial aquifer system. The groundwater system in the study area consists of water in unconsolidated deposits in basins and water in consolidated rock underlying the basins and in the adjacent mountain blocks. Most recharge occurs from precipitation on the mountain blocks and most discharge occurs from the lower altitude basin-fill deposits mainly as evapotranspiration, springflow, and well withdrawals.
The Snake Valley area regional groundwater system was simulated using a three-dimensional model incorporating both groundwater flow and heat transport. The model was constructed with MODFLOW-2000, a version of the U.S. Geological Survey’s groundwater flow model, and MT3DMS, a transport model that simulates advection, dispersion, and chemical reactions of solutes or heat in groundwater systems. Observations of groundwater discharge by evapotranspiration, springflow, mountain stream base flow, and well withdrawals; groundwater-level altitudes; and groundwater temperatures were used to calibrate the model. Parameter values estimated by regression analyses were reasonable and within the range of expected values.
This study represents one of the first regional modeling efforts to include calibration to groundwater temperature data. The inclusion of temperature observations reduced parameter uncertainty, in some cases quite significantly, over using just water-level altitude and discharge observations. Of the 39 parameters used to simulate horizontal hydraulic conductivity, uncertainty on 11 of these parameters was reduced to one order of magnitude or less. Other significant reductions in parameter uncertainty occurred in parameters representing the vertical anisotropy ratio, drain and river conductance, recharge rates, and well withdrawal rates.
The model provides a good representation of the groundwater system. Simulated water-level altitudes range over almost 2,000 meters (m); 98 percent of the simulated values of water-level altitudes in wells are within 30 m of observed water-level altitudes, and 58 percent of them are within 12 m. Nineteen of 20 simulated discharges are within 30 percent of observed discharge. Eighty-one percent of the simulated values of groundwater temperatures in wells are within 2 degrees Celsius (°C) of the observed values, and 55 percent of them are within 0.75 °C. The numerical model represents a more robust quantification of groundwater budget components than previous studies because the model integrates all components of the groundwater budget. The model also incorporates new data including (1) a detailed hydrogeologic framework, and (2) more observations, including several new water-level altitudes throughout the study area, several new measurements of spring discharge within Snake Valley which had not previously been monitored, and groundwater temperature data. Uncertainty in the estimates of subsurface flow are less than those of previous studies because the model balanced recharge and discharge across the entire simulated area, not just in each hydrographic area, and because of the large dataset of observations (water-level altitudes, discharge, and temperatures) used to calibrate the model and the resulting transmissivity distribution.
Groundwater recharge from precipitation and unconsumed irrigation in Snake Valley is 160,000 acre-feet per year (acre-ft/yr), which is within the range of previous estimates. Subsurface inflow from southern Spring Valley to southern Snake Valley is 13,000 acre-ft/yr and is within the range of previous estimates; subsurface inflow from Spring Valley to Snake Valley north of the Snake Range, however, is only 2,200 acre-ft/yr, which is much less than has been previously estimated. Groundwater discharge from groundwater evapotranspiration and springs is 100,000 acre-ft/yr, and discharge to mountain streams is 3,300 acre-ft/yr; these are within the range of previous estimates. Current well withdrawals are 28,000 acre-ft/yr. Subsurface outflow from Snake Valley moves into Pine Valley (2,000 acre-ft/yr), Wah Wah Valley (23 acre-ft/yr), Tule Valley (33,000 acre-ft/yr), Fish Springs Flat (790 acre-ft/yr), and outside of the study area towards Great Salt Lake Desert (8,400 acre-ft/yr); these outflows, totaling about 44,000 acre-ft/yr, are within the range of previous estimates.
The subsurface flow amounts indicate the degree of connectivity between hydrographic areas within the study area. The simulated transmissivity and locations of natural discharge, however, provide a better estimate of the effect of groundwater withdrawals on groundwater resources than does the amount and direction of subsurface flow between hydrographic areas. The distribution of simulated transmissivity throughout the study area includes many areas of high transmissivity within and between hydrographic areas. Increased well withdrawals within these high transmissivity areas will likely affect a large part of the study area, resulting in declining groundwater levels, as well as leading to a decrease in natural discharge to springs and evapotranspiration.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145103","collaboration":"Prepared in cooperation with Juab, Millard, Salt Lake, Tooele, and Utah Counties","usgsCitation":"Masbruch, M.D., Gardner, P.M., and Brooks, L.E., 2014, Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5103, x, 107 p., https://doi.org/10.3133/sir20145103.","productDescription":"x, 107 p.","numberOfPages":"122","onlineOnly":"Y","ipdsId":"IP-042407","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":293136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145103.jpg"},{"id":293135,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5103/pdf/sir2014-5103.pdf"},{"id":293134,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5103/"}],"country":"United States","state":"Nevada, Utah","county":"Beaver County, Juab County, Lincoln County, Millard County, White Pine County","otherGeospatial":"Snake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.9,36.98 ], [ -115.9,40.24 ], [ -110.05,40.24 ], [ -110.05,36.98 ], [ -115.9,36.98 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fee2afe4b01f35f8fd1390","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70121945,"text":"ofr20141182 - 2014 - Guidelines for the collection of continuous stream water-temperature data in Alaska","interactions":[],"lastModifiedDate":"2014-08-27T12:23:24","indexId":"ofr20141182","displayToPublicDate":"2014-08-27T11:20:00","publicationYear":"2014","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":"2014-1182","title":"Guidelines for the collection of continuous stream water-temperature data in Alaska","docAbstract":"Objectives of stream monitoring programs differ considerably among many of the academic, Federal, state, tribal, and non-profit organizations in the state of Alaska. Broad inclusion of stream-temperature monitoring can provide an opportunity for collaboration in the development of a statewide stream-temperature database. Statewide and regional coordination could reduce overall monitoring cost, while providing better analyses at multiple spatial and temporal scales to improve resource decision-making. Increased adoption of standardized protocols and data-quality standards may allow for validation of historical modeling efforts with better projection calibration. For records of stream water temperature to be generally consistent, unbiased, and reproducible, data must be collected and analyzed according to documented protocols. Collection of water-temperature data requires definition of data-quality objectives, good site selection, proper selection of instrumentation, proper installation of sensors, periodic site visits to maintain sensors and download data, pre- and post-deployment verification against an NIST-certified thermometer, potential data corrections, and proper documentation, review, and approval. A study created to develop a quality-assurance project plan, data-quality objectives, and a database management plan that includes procedures for data archiving and dissemination could provide a means to standardize a statewide stream-temperature database in Alaska. Protocols can be modified depending on desired accuracy or specific needs of data collected. This document is intended to guide users in collecting time series water-temperature data in Alaskan streams and draws extensively on the broader protocols already published by the U.S. Geological Survey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141182","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Toohey, R., Neal, E., and Solin, G.L., 2014, Guidelines for the collection of continuous stream water-temperature data in Alaska: U.S. Geological Survey Open-File Report 2014-1182, iv, 34 p., https://doi.org/10.3133/ofr20141182.","productDescription":"iv, 34 p.","numberOfPages":"37","onlineOnly":"Y","ipdsId":"IP-058762","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":293098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141182.PNG"},{"id":293096,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1182/pdf/ofr2014-1182.pdf"},{"id":293094,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1182/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.4,51.2 ], [ 172.4,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.4,51.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fee2aee4b01f35f8fd138c","contributors":{"authors":[{"text":"Toohey, Ryan C.","contributorId":7201,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan C.","affiliations":[],"preferred":false,"id":499411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Edward G.","contributorId":68775,"corporation":false,"usgs":true,"family":"Neal","given":"Edward G.","affiliations":[],"preferred":false,"id":499412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solin, Gary L. glsolin@usgs.gov","contributorId":5675,"corporation":false,"usgs":true,"family":"Solin","given":"Gary","email":"glsolin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":499410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70107924,"text":"fs20143040 - 2014 - Water resources of Sabine Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-08-26T14:29:19","indexId":"fs20143040","displayToPublicDate":"2014-08-26T14:22:00","publicationYear":"2014","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":"2014-3040","title":"Water resources of Sabine Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Sabine Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s (USGS) National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143040","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., White, V.E., and Lovelace, J.K., 2014, Water resources of Sabine Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3040, 6 p., https://doi.org/10.3133/fs20143040.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-054077","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":293047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143040.jpg"},{"id":293045,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3040/"},{"id":293046,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3040/pdf/fs2014-3040.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"Sabine Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.15,31.166667 ], [ -94.15,32.0 ], [ -93.2361,32.0 ], [ -93.2361,31.166667 ], [ -94.15,31.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9133e4b0adaeea6c174c","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":493932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70122245,"text":"70122245 - 2014 - Widespread methane leakage from the sea floor on the northern US Atlantic margin","interactions":[],"lastModifiedDate":"2014-08-29T15:13:18","indexId":"70122245","displayToPublicDate":"2014-08-26T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Widespread methane leakage from the sea floor on the northern US Atlantic margin","docAbstract":"Methane emissions from the sea floor affect methane inputs into the atmosphere, ocean acidification and de-oxygenation, the distribution of chemosynthetic communities and energy resources. Global methane flux from seabed cold seeps has only been estimated for continental shelves, at 8 to 65 Tg CH4 yr−1, yet other parts of marine continental margins are also emitting methane. The US Atlantic margin has not been considered an area of widespread seepage, with only three methane seeps recognized seaward of the shelf break. However, massive upper-slope seepage related to gas hydrate degradation has been predicted for the southern part of this margin, even though this process has previously only been recognized in the Arctic. Here we use multibeam water-column backscatter data that cover 94,000 km2 of sea floor to identify about 570 gas plumes at water depths between 50 and 1,700 m between Cape Hatteras and Georges Bank on the northern US Atlantic passive margin. About 440 seeps originate at water depths that bracket the updip limit for methane hydrate stability. Contemporary upper-slope seepage there may be triggered by ongoing warming of intermediate waters, but authigenic carbonates observed imply that emissions have continued for more than 1,000 years at some seeps. Extrapolating the upper-slope seep density on this margin to the global passive margin system, we suggest that tens of thousands of seeps could be discoverable.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Macmillan Publishers","doi":"10.1038/ngeo2232","usgsCitation":"Skarke, A., Ruppel, C., Kodis, M., Brothers, D., and Lobecker, E.A., 2014, Widespread methane leakage from the sea floor on the northern US Atlantic margin: Nature Geoscience, v. 7, p. 657-661, https://doi.org/10.1038/ngeo2232.","productDescription":"5 p.","startPage":"657","endPage":"661","numberOfPages":"5","ipdsId":"IP-056990","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293033,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo2232"}],"country":"United States","otherGeospatial":"U.S. Atlantic Margin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.0,30.0 ], [ -80.0,45.0 ], [ -70.0,45.0 ], [ -70.0,30.0 ], [ -80.0,30.0 ] ] ] } } ] }","volume":"7","noUsgsAuthors":false,"publicationDate":"2014-08-24","publicationStatus":"PW","scienceBaseUri":"53fd9135e4b0adaeea6c1754","contributors":{"authors":[{"text":"Skarke, Adam","contributorId":34055,"corporation":false,"usgs":true,"family":"Skarke","given":"Adam","affiliations":[],"preferred":false,"id":499469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":499467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kodis, Mali’o","contributorId":108412,"corporation":false,"usgs":true,"family":"Kodis","given":"Mali’o","email":"","affiliations":[],"preferred":false,"id":499471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brothers, Daniel S. dbrothers@usgs.gov","contributorId":3782,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","email":"dbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":499468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lobecker, Elizabeth A.","contributorId":98651,"corporation":false,"usgs":true,"family":"Lobecker","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499470,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70119959,"text":"ds876 - 2014 - Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13","interactions":[],"lastModifiedDate":"2014-08-26T08:54:44","indexId":"ds876","displayToPublicDate":"2014-08-26T08:47:00","publicationYear":"2014","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":"876","title":"Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13","docAbstract":"Surface-water samples were collected from the Sacramento and San Joaquin Rivers where they enter the Sacramento–San Joaquin Delta, and analyzed by the U.S. Geological Survey for a suite of 99 current-use pesticides and pesticide degradates. Samples were collected twice per month from May 2012 through July 2013 and from May 2012 through April 2013 at the Sacramento River at Freeport, and the San Joaquin River near Vernalis, respectively. Samples were analyzed by two separate laboratory methods by using gas chromatography with mass spectrometry or liquid chromatography with tandem mass spectrometry. Method detection limits ranged from 0.9 to 10.5 nanograms per liter (ng/L).
\nA total of 37 pesticides and degradates were detected in water samples collected during the study (18 herbicides, 11 fungicides, 7 insecticides, and 1 synergist). The most frequently detected pesticides overall were the herbicide hexazinone (detected in 100 percent of the samples); 3,4-dichloroaniline (97 percent), which is a degradate of the herbicides diuron and propanil; the fungicide azoxystrobin (83 percent); and the herbicides diuron (72 percent), simazine (66 percent), and metolachlor (64 percent). Insecticides were rarely detected during the study. Pesticide concentrations varied from below the method detection limits to 984 ng/L (hexazinone).
\nTwenty seven pesticides and (or) degradates were detected in Sacramento River samples, and the average number of pesticides per sample was six. The most frequently detected compounds in these samples were hexazinone (detected in 100 percent of samples), 3,4-dichloroaniline (97 percent), azoxystrobin (88 percent), diuron (56 percent), and simazine (50 percent). Pesticides with the highest detected maximum concentrations in Sacramento River samples included the herbicide clomazone (670 ng/L), azoxystrobin (368 ng/L), 3,4-dichloroaniline (364 ng/L), hexazinone (130 ng/L), and propanil (110 ng/L), and all but hexazinone are primarily associated with rice agriculture.
\nIn addition to the twice monthly sampling, surface-water samples were collected from the Sacramento River on 5 consecutive days following a rainfall event in the Sacramento urban area. Samples collected following this event contained an average of 11 pesticides. The insecticides carbaryl, fipronil, and imidacloprid; the herbicide DCPA; and the fungicide imazalil were only detected in the Sacramento River during this storm-runoff event, and two detections of fipronil during this period exceeded the U.S. Environmental Protection Agency Aquatic Life Benchmark (11 ng/L) for chronic toxicity to invertebrates in freshwater.
\nIn San Joaquin River samples, 26 pesticides and (or) degradates were detected, and the average number detected per sample was 9. The most frequently detected compounds in these samples were hexazinone and metolachlor (detected in 100 percent of samples); diuron (96 percent); the fungicide boscalid (96 percent); the degradates 3,4-dicloroaniline (92 percent) and NN-(3,4-Dichlorophenyl)-N’-methylurea (DCPMU; 83 percent); simazine (83 percent); and azoxystrobin (75 percent). The pesticides with the highest detected maximum concentrations were hexazinone (984 ng/L), diuron (695 ng/L), simazine (524 ng/L), the herbicide prometryn (155 ng/L), metolachlor (127 ng/L), boscalid (112 ng/L), DCPMU (111 ng/L), and the herbicide pendimethalin (108 ng/L).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds876","collaboration":"Prepared in cooperation with the San Luis and Delta Mendota Water Authority","usgsCitation":"Orlando, J., McWayne, M., Sanders, C., and Hladik, M., 2014, Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13: U.S. Geological Survey Data Series 876, viii, 28 p., https://doi.org/10.3133/ds876.","productDescription":"viii, 28 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-052843","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds876.jpg"},{"id":293013,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0876/pdf/ds876.pdf"},{"id":293009,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0876"}],"projection":"Albers Equal Area Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Sacramento�san Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.00,36.00 ], [ -124.00,40.00 ], [ -120.00,40.00 ], [ -120.00,36.00 ], [ -124.00,36.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd912fe4b0adaeea6c1730","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":497873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWayne, Megan 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":36038,"corporation":false,"usgs":true,"family":"McWayne","given":"Megan","affiliations":[],"preferred":false,"id":497870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":39682,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[],"preferred":false,"id":497871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":45990,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","affiliations":[],"preferred":false,"id":497872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70119004,"text":"sir20145144 - 2014 - Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012","interactions":[],"lastModifiedDate":"2017-01-18T13:14:34","indexId":"sir20145144","displayToPublicDate":"2014-08-26T08:35:00","publicationYear":"2014","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":"2014-5144","title":"Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012","docAbstract":"Septic systems were identified at 241,733 locations in a 2,539-square-mile (mi2) study area that includes all or parts of 12 counties in the Metropolitan Atlanta, Georgia, area. Septic system percolation may locally be an important component of streamflow in small drainage basins where it augments natural groundwater recharge, especially during extreme low-flow conditions. The amount of groundwater reaching streams depends on how much is intercepted by plants or infiltrates to deeper parts of the groundwater system that flows beyond a basin divide and does not discharge into streams within a basin.
\nThe potential maximum percolation from septic systems in the study area is 62 cubic feet per second (ft3/s), of which 52 ft3/s is in the Chattahoochee River Basin and 10 ft3/s is in the Flint River Basin. These maximum percolation rates represent 0.4 to 5.7 percent of daily mean streamflow during the 2011–12 period at the farthest downstream gaging site (station 02338000) on the Chattahoochee River, and 0.5 to 179 percent of daily mean streamflow at the farthest downstream gaging site on the Flint River (02344350).
\nTo determine the difference in base flow between basins having different septic system densities, hydrograph separation analysis was completed using daily mean streamflow data at streamgaging stations at Level Creek (site 02334578), with a drainage basin having relatively high septic system density of 101 systems per square mile, and Woodall Creek (site 02336313), with a drainage basin having relatively low septic system density of 18 systems per square mile. Results indicated that base-flow yield during 2011–12 was higher at the Level Creek site, with a median of 0.47 cubic feet per second per square mile ([ft3/s]/mi2), compared to a median of 0.16 (ft3/s)/mi2, at the Woodall Creek site. At the less urbanized Level Creek site, there are 515 septic systems with a daily maximum percolation rate of 0.14 ft3/s, accounting for 11 percent of the base flow in September 2012. At the more urban Woodall Creek site, there are 50 septic systems with an average daily maximum percolation rate of 0.0097 ft3/s, accounting for 5 percent of base flow in September 2012.
\nStreamflow measurements at 133 small drainage basins (less than 5 mi2 in area) during September 2012 indicated no statistically significant difference in streamflow or specific conductance between basins having high and low density of septic systems (HDS and LDS, respectively). The median base-flow yield was 0.04 (f3/s)/mi2 for HDS sites, ranging from 0 to 0.52 (ft3/s)/mi2, and 0.10 (ft3/s)/mi2 for LDS sites, ranging from 0 to 0.49 (ft3/s)/mi2. A Wilcoxon rank-sum test indicated the median base-flow yields for HDS and LDS sites were not statistically different, with a p-value of 0.345.
\nBecause of the large size of the study area and associated variations in basin characteristics, data collected in September 2012 were also evaluated on the basis of the basins physical characteristics in an attempt to reduce or eliminate other basin characteristics that might affect base flow. Basins were evaluated based on geologic area, four geographic subareas, and 45-meter (147.6 ft) buffer zone; there were no statistically significant differences between median base-flow yield for HDS and LDS basins. It is probable that detection of the contribution from septic system percolation in base flow at many of the sites visited in September 2012 was obscured by a combination of the limitations of measurement accuracy and evapotranspiration. Detection of septic system percolation may also have been complicated by leaky water and sewer mains, which may have resulted in higher streamflows in LDS basins relative to HDS basins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145144","collaboration":"National Water Census and National Streamflow Information Program","usgsCitation":"Clarke, J.S., and Painter, J.A., 2014, Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5144, viii, 68 p., https://doi.org/10.3133/sir20145144.","productDescription":"viii, 68 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-050847","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":293012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145144.jpg"},{"id":293010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5144/"},{"id":293011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5144/pdf/sir2014-5144.pdf"}],"scale":"100000","country":"United States","state":"Georgia","city":"Atlanta","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.25,33.00 ], [ -85.25,34.75 ], [ -83.75,34.75 ], [ -83.75,33.00 ], [ -85.25,33.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9131e4b0adaeea6c173a","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103853,"text":"sir20135129 - 2014 - Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007","interactions":[],"lastModifiedDate":"2014-08-25T12:38:35","indexId":"sir20135129","displayToPublicDate":"2014-08-25T12:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5129","title":"Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007","docAbstract":"Water quality of streams, reservoirs, and groundwater in the Blue River watershed in the central Rocky Mountains of Colorado has been affected by local geologic conditions, historical hard-rock metal mining, and recent urban development. With these considerations, the U.S. Geological Survey, in cooperation with the Summit Water Quality Committee, conducted a study to compile historical water-quality data and assess water-quality conditions in the watershed. To assess water-quality conditions, stream data were primarily analyzed from October 1995 through December 2006, groundwater data from May 1996 through September 2004, and reservoir data from May 1984 through November 2007. Stream data for the Snake River, upper Blue River, and Tenmile Creek subwatersheds upstream from Dillon Reservoir and the lower Blue River watershed downstream from Dillon Reservoir were analyzed separately. (The complete abstract is provided in the report)
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135129","collaboration":"Prepared in cooperation with the Summit Water Quality Committee","usgsCitation":"Bauch, N.J., Miller, L.D., and Yacob, S., 2014, Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007: U.S. Geological Survey Scientific Investigations Report 2013-5129, vii, 90 p., https://doi.org/10.3133/sir20135129.","productDescription":"vii, 90 p.","numberOfPages":"102","onlineOnly":"Y","temporalStart":"1984-01-01","temporalEnd":"2007-12-31","ipdsId":"IP-020163","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":292981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135129.jpg"},{"id":292980,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5129/pdf/sir2013-5129.pdf"},{"id":292979,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5129/"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"Colorado","otherGeospatial":"Blue River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,39.25 ], [ -106.5,40.0 ], [ -105.75,40.0 ], [ -105.75,39.25 ], [ -106.5,39.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fafe4b0413fd75d296f","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":493500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yacob, Sharon","contributorId":27798,"corporation":false,"usgs":true,"family":"Yacob","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":493501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115414,"text":"sir20145126 - 2014 - High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona","interactions":[],"lastModifiedDate":"2023-05-24T13:16:48.547217","indexId":"sir20145126","displayToPublicDate":"2014-08-25T11:31:00","publicationYear":"2014","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":"2014-5126","title":"High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona","docAbstract":"Along the Colorado River corridor between Glen Canyon Dam and Lees Ferry, Arizona, located some 25 km downstream from the dam, archaeological sites dating from 8,000 years before present through the modern era are located within and on top of fluvial and alluvial terraces of the prehistorically undammed river. These terraces are known to have undergone significant erosion and retreat since emplacement of Glen Canyon Dam in 1963. Land managers and policy makers associated with managing the flow of the Colorado River are interested in understanding how the operations of Glen Canyon Dam have affected the archeological sites associated with these terraces and how dam-controlled flows currently interact with other landscape-shaping processes. In 2012, the U.S. Geological Survey initiated a research project in Glen Canyon to study the types and causes of erosion of the terraces. This report provides the first step towards this understanding by presenting comparative analyses on several types of high-resolution topographic data (airborne lidar, terrestrial lidar, and airborne photogrammetry) that can be used in the future to document and analyze changes to terrace-based archaeological sites.
\nHerein, we present topographic and geomorphologic data of four archaeological sites within a 14 km segment of Glen Canyon using each of the three data sources. In addition to comparing each method’s suitability for adequately representing the topography of the sites, we also analyze the data within each site’s context and describe the geomorphological processes responsible for erosion. Our results show that each method has its own strengths and weaknesses, and that terrestrial and airborne lidar are essentially interchangeable for many important topographic characterization and monitoring purposes. However, whereas terrestrial lidar provides enhanced capacity for feature recognition and gully morphology delineation, airborne methods (whether by way of laser or optical sensors) are better suited for reach- and regional-scale mapping. Our site-specific geomorphic analyses of the four archeological sites indicate that their current topographical conditions are a result of different and sometimes competing erosional agents, including bedrock- and terrace-based overland flow, fluvial-induced terrace bank collapse, and alluvial-fan-generated debris flows. Although the influences of anthropogenic-induced erosion from dam operations are not specifically analyzed in this report, we do identify geomorphic settings where dam operations are either more or less likely to affect archeological site stability. This information can be used to assist with future monitoring efforts of these sites and identification of similar conditions for other archeological sites along the Colorado River corridor in Glen Canyon.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145126","usgsCitation":"Collins, B., Corbett, S., Sankey, J.B., and Fairley, H., 2014, High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5126, vi, 31 p., https://doi.org/10.3133/sir20145126.","productDescription":"vi, 31 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-055432","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":292976,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145126.jpg"},{"id":289412,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5126/"},{"id":292975,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5126/pdf/sir2014-5126.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.659217,36.816343 ], [ -111.659217,37.001017 ], [ -111.396264,37.001017 ], [ -111.396264,36.816343 ], [ -111.659217,36.816343 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb2e4b0413fd75d297e","contributors":{"authors":[{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":495627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corbett, Skye C.","contributorId":54844,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye C.","affiliations":[],"preferred":false,"id":495626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":495625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115556,"text":"ofr20141136 - 2014 - Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida","interactions":[],"lastModifiedDate":"2014-08-25T10:40:34","indexId":"ofr20141136","displayToPublicDate":"2014-08-25T10:37:00","publicationYear":"2014","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":"2014-1136","title":"Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida","docAbstract":"The U.S. Geological Survey and Broward County water managers commenced a 3.5-year cooperative study in July 2012 to refine the geologic and hydrogeologic framework of the Floridan aquifer system (FAS) in Broward County. A lack of advanced stratigraphic knowledge of the physical system and structural geologic anomalies (faults and fractures originating from tectonics and karst-collapse structures) within the FAS pose a risk to the sustainable management of the resource.
\nThe principal objective of the study is to better define the regional stratigraphic and structural setting of the FAS in Broward County. The objective will be achieved through the acquisition, processing, and interpretation of new seismic-reflection data along several canals in Broward County. The interpretation includes integration of the new seismic-reflection data with existing seismic-reflection profiles along Hillsboro Canal in Broward County and within northeast Miami-Dade County, as well as with data from nearby FAS wellbores. The scope of the study includes mapping the geologic, hydrogeologic, and seismic-reflection framework of the FAS, and identifying stratigraphic and structural characteristics that could either facilitate or preclude the sustainable use of the FAS as an alternate water supply or a treated effluent repository. In addition, the investigation offers an opportunity to: (1) improve existing groundwater flow models, (2) enhance the understanding of the sensitivity of the groundwater system to well-field development and upconing of saline fluids, and (3) support site selection for future FAS projects, such as Class I wells that would inject treated effluent into the deep Boulder Zone.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141136","collaboration":"Prepared in cooperation with Broward County Environmental Planning and Community Resilience Division","usgsCitation":"Cunningham, K.J., 2014, Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida: U.S. Geological Survey Open-File Report 2014-1136, 5 p., https://doi.org/10.3133/ofr20141136.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-054938","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":292961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141136.jpg"},{"id":292959,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1136/"},{"id":292960,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1136/pdf/ofr2014-1136.pdf"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.416667,25.916667 ], [ -80.416667,26.366667 ], [ -80.116667,26.366667 ], [ -80.116667,25.916667 ], [ -80.416667,25.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb3e4b0413fd75d2986","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":495654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048966,"text":"ds788 - 2014 - Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12","interactions":[],"lastModifiedDate":"2021-06-21T18:15:29.540324","indexId":"ds788","displayToPublicDate":"2014-08-22T14:04:00","publicationYear":"2014","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":"788","title":"Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12","docAbstract":"Because of increasing water demands at the U.S. Army Fort Irwin National Training Center, the U.S. Geological Survey in cooperation with the U.S. Army carried out a study to evaluate the water quality and potential groundwater supply of undeveloped basins within the U.S. Army Fort Irwin National Training Center. In addition, work was performed in the three developed basins—Langford, Bicycle, and Irwin—proximal to or underlying cantonment to provide information in support of water-resources management and to supplement monitoring in these basins. Between 2009 and 2012, the U.S. Geological Survey installed 41 wells to expand collection of water-resource data within the U.S. Army Fort Irwin National Training Center. Thirty-four monitoring wells (2-inch diameter) were constructed at 14 single- or multiple-well monitoring sites and 7 test wells (8-inch diameter) were installed. The majority of the wells were installed in previously undeveloped or minimally developed basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins) proximal to cantonment (primary base housing and infrastructure). Data associated with well construction, water-level monitoring, and water-quality sampling are presented in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds788","collaboration":"Prepared in cooperation with the Fort Irwin National Training Center","usgsCitation":"Kjos, A., Densmore, J., Nawikas, J., and Brown, A.A., 2014, Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12: U.S. Geological Survey Data Series 788, x, 140 p., https://doi.org/10.3133/ds788.","productDescription":"x, 140 p.","numberOfPages":"154","onlineOnly":"Y","temporalStart":"2009-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-040406","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":386621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/788/images/coverthb.jpg"},{"id":292894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/788/pdf/ds788.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":292893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/788/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","datum":"Universal Transverse Mercator Projection","country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.166667,35.0 ], [ -117.166667,35.666667 ], [ -116.166667,35.666667 ], [ -116.166667,35.0 ], [ -117.166667,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f84b2de4b03f038c5bd439","contributors":{"authors":[{"text":"Kjos, Adam R. 0000-0002-2722-3306","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":65772,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam R.","affiliations":[],"preferred":false,"id":485892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":485893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nawikas, Joseph M. 0000-0001-9061-6674","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":96528,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph M.","affiliations":[],"preferred":false,"id":485894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115110,"text":"fs20143007 - 2014 - SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course","interactions":[],"lastModifiedDate":"2018-09-21T11:23:25","indexId":"fs20143007","displayToPublicDate":"2014-08-22T12:59:00","publicationYear":"2014","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":"2014-3007","title":"SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course","docAbstract":"VisTrails is an open-source management and scientific workflow system designed to integrate the best of both scientific workflow and scientific visualization systems. Developers can extend the functionality of the VisTrails system by creating custom modules for bundled VisTrails packages. The Invasive Species Science Branch of the U.S. Geological Survey (USGS) Fort Collins Science Center (FORT) and the U.S. Department of the Interior’s North Central Climate Science Center have teamed up to develop and implement such a module—the Software for Assisted Habitat Modeling (SAHM). SAHM expedites habitat modeling and helps maintain a record of the various input data, the steps before and after processing, and the modeling options incorporated in the construction of an ecological response model. There are four main advantages to using the SAHM:VisTrails combined package for species distribution modeling: (1) formalization and tractable recording of the entire modeling process; (2) easier collaboration through a common modeling framework; (3) a user-friendly graphical interface to manage file input, model runs, and output; and (4) extensibility to incorporate future and additional modeling routines and tools.
\nIn order to meet increased interest in the SAHM:VisTrails package, the FORT offers a training course twice a year. The course includes a combination of lecture, hands-on work, and discussion. Please join us and other ecological modelers to learn the capabilities of the SAHM:VisTrails package.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143007","usgsCitation":"Holcombe, T., 2014, SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course: U.S. Geological Survey Fact Sheet 2014-3007, 2 p., https://doi.org/10.3133/fs20143007.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-045542","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":292878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143007.jpg"},{"id":292876,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3007/"},{"id":292877,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3007/pdf/fs2014-3007.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f84b2fe4b03f038c5bd43f","contributors":{"authors":[{"text":"Holcombe, Tracy","contributorId":93817,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","affiliations":[],"preferred":false,"id":495547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121391,"text":"70121391 - 2014 - Simulating water-quality trends in public-supply wells in transient flow systems","interactions":[],"lastModifiedDate":"2014-10-01T11:46:51","indexId":"70121391","displayToPublicDate":"2014-08-21T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water-quality trends in public-supply wells in transient flow systems","docAbstract":"Models need not be complex to be useful. An existing groundwater-flow model of Salt Lake Valley, Utah, was adapted for use with convolution-based advective particle tracking to explain broad spatial trends in dissolved solids. This model supports the hypothesis that water produced from wells is increasingly younger with higher proportions of surface sources as pumping changes in the basin over time. At individual wells, however, predicting specific water-quality changes remains challenging. The influence of pumping-induced transient groundwater flow on changes in mean age and source areas is significant. Mean age and source areas were mapped across the model domain to extend the results from observation wells to the entire aquifer to see where changes in concentrations of dissolved solids are expected to occur. The timing of these changes depends on accurate estimates of groundwater velocity. Calibration to tritium concentrations was used to estimate effective porosity and improve correlation between source area changes, age changes, and measured dissolved solids trends. Uncertainty in the model is due in part to spatial and temporal variations in tracer inputs, estimated tracer transport parameters, and in pumping stresses at sampling points. For tracers such as tritium, the presence of two-limbed input curves can be problematic because a single concentration can be associated with multiple disparate travel times. These shortcomings can be ameliorated by adding hydrologic and geologic detail to the model and by adding additional calibration data. However, the Salt Lake Valley model is useful even without such small-scale detail.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12230","usgsCitation":"Starn, J.J., Green, C.T., Hinkle, S.R., Bagtzoglou, A., and Stolp, B.J., 2014, Simulating water-quality trends in public-supply wells in transient flow systems: Ground Water, v. 52, no. S1, p. 53-62, https://doi.org/10.1111/gwat.12230.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-037946","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":472815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12230","text":"Publisher Index Page"},{"id":292789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292780,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12230"}],"country":"United States","state":"Utah","otherGeospatial":"Salt Lake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40.25 ], [ -112.25,40.916667 ], [ -111.75,40.916667 ], [ -111.75,40.25 ], [ -112.25,40.25 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"53f6f9b7e4b05ec1f24290e0","chorus":{"doi":"10.1111/gwat.12230","url":"http://dx.doi.org/10.1111/gwat.12230","publisher":"Wiley-Blackwell","authors":"Jeffrey Starn J., Green Christopher T., Hinkle Stephen R., Bagtzoglou Amvrossios C., Stolp Bernard J.","journalName":"Groundwater","publicationDate":"7/12/2014","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":499021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":499019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios C.","contributorId":30146,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios C.","affiliations":[],"preferred":false,"id":499020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70121240,"text":"70121240 - 2014 - Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","interactions":[],"lastModifiedDate":"2018-01-04T10:53:20","indexId":"70121240","displayToPublicDate":"2014-08-21T11:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","docAbstract":"The important ecosystem functions wetlands perform are influenced by land-use changes in their surrounding uplands and thus, identifying the upland area that flows into a wetland is important. We provide a method to define wetland catchments as the portion of the landscape that flows into a wetland; we allowed catchments to be nested and include other wetlands and their catchments, forming a hydrologic wetland complex. We generated catchments using multiple sources and resolutions of digital elevation data to evaluate whether catchment sizes generated from those data were similar. While non-contributing areas, or sinks, differed between elevation data sets, catchment areas were similar among high-resolution LiDAR- and IfSAR-derived data and readily available lower resolution data from the National Elevation Dataset. Accordingly, the higher-resolution DEM data, which may be expensive or not available, will not likely yield more accurate wetland catchment boundaries in flat or glaciated landscapes. We contend that this method to generate wetland catchments can be used to improve wetland studies where the location of a wetland within a catchment is important. Furthermore, the size of the catchment is important for understanding how wetlands respond to climate, land-use practices, and contamination.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-014-0571-9","usgsCitation":"McCauley, L.A., and Anteau, M.J., 2014, Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands: Wetlands, v. 34, no. 6, p. 1123-1132, https://doi.org/10.1007/s13157-014-0571-9.","productDescription":"10 p.","startPage":"1123","endPage":"1132","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052286","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-014-0571-9"}],"country":"United States","state":"North Dakota","county":"Barnes County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.468,46.6299 ], [ -98.468,47.2413 ], [ -97.6815,47.2413 ], [ -97.6815,46.6299 ], [ -98.468,46.6299 ] ] ] } } ] }","volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-08-16","publicationStatus":"PW","scienceBaseUri":"53f6f9b3e4b05ec1f24290ca","contributors":{"authors":[{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":498847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":498846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116612,"text":"sir20145134 - 2014 - Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","interactions":[],"lastModifiedDate":"2020-02-26T17:48:07","indexId":"sir20145134","displayToPublicDate":"2014-08-21T08:49:00","publicationYear":"2014","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":"2014-5134","title":"Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","docAbstract":"The Osage Nation of northeastern Oklahoma, conterminous with Osage County, is characterized by gently rolling uplands and incised stream valleys that have downcut into underlying sedimentary rock units of Pennsylvanian through Permian age. Cattle ranching and petroleum and natural-gas extraction are the principal land uses in this rural area. Freshwater resources in the Osage Nation include water flowing in the Arkansas River and several smaller streams, water stored in several lakes, and groundwater contained in unconsolidated alluvial aquifers and bedrock aquifers. The Vamoosa-Ada aquifer is the primary source of fresh groundwater in this area. Fresh groundwater is underlain by saline groundwater in aquifers underlying the Osage Nation. Because of the potential for future population increases, demands for water from neighboring areas such as the Tulsa metropolitan area, and expansion of petroleum and natural-gas extraction on water resources of this area, the U.S. Geological Survey, in cooperation with the Osage Nation, summarized existing hydrologic data and identified data gaps to provide information for planning of future development of water resources in the Osage Nation.
\nStreamflows in the Osage Nation are substantially affected by precipitation. During the relatively wet periods from the 1970s to 2000, the annual streamflows in the Osage Nation increased by as much as a factor of 2 relative to preceding decades, with subsequent decreases in streamflow of as much as 50 percent being recorded during intermittent drier years of the early 2000s. This report summarizes hydrologic data from 3 surface-water sites and 91 wells distributed across the Osage Nation. Data collected at those sites indicate that surface water in the Osage Nation generally has sufficient dissolved oxygen for survival of both coldwater and warmwater aquatic biota. Total dissolved solids concentration exceeded the secondary drinking-water standard of 500 milligrams per liter (mg/L) in up to 75 percent of the surface-water samples, indicating limited availability of potable water at some sites. Some surface-water samples collected in the Osage Nation contained dissolved chloride concentrations exceeding the secondary drinking-water standard of 250 mg/L, with greater chloride concentrations in selected basins appearing to be associated with greater densities of petroleum well locations. Several lakes sampled in the Osage Nation from 2011–12 contained sufficient chlorophyll-a concentrations to be ranked as mesotrophic to eutrophic, indicating impairment by nutrients. Relatively large dissolved phosphorus concentrations in many surface-water samples, compared to water-quality standards, indicate that eutrophication can occur in local streams and lakes.
\nThe amount of fresh groundwater stored in alluvial aquifers and the Vamoosa-Ada bedrock aquifer is adequate for domestic and other purposes in the Osage Nation at the current rate of usage. In areas where these aquifers are absent, groundwater must be pumped from minor bedrock aquifers that produce smaller volumes of water. About 30 and 60 percent of 32 and 54 water samples collected from the alluvial and Vamoosa-Ada aquifers, respectively, contained total dissolved solids concentrations larger than the secondary drinking-water standard of 500 mg/L. Local factors, such as natural seepage of brines or leakage from petroleum and natural-gas extraction activities, may cause substantial variations in dissolved chloride concentration in groundwater in the Osage Nation. Total phosphorus concentrations measured in groundwater samples were similar to dissolved phosphorus concentrations measured in the base flow of several streams.
\nTotal fresh surface-water withdrawals (use) and fresh groundwater withdrawals in the Osage Nation were estimated to have increased from 0.75 to 16.19 million gallons per day and from 0.13 to 2.39 million gallons per day, respectively, over the period from 1890 through 2010. Estimated saline-groundwater reinjection volumes at the heavily developed Burbank Oil Field in the Osage Nation from 1950 through 2012 were many times larger than the total amounts of freshwater withdrawn in this area, with estimated increases in saline-groundwater reinjection in the 2000s probably being related to increased petroleum extraction.
\nEstimates of freshwater resources in local streams, lakes, and freshwater aquifers and of net annual precipitation indicate that less than 1 percent of freshwater resources and net annual precipitation currently is being withdrawn annually in the Osage Nation. In addition to freshwater resources, the Osage Nation may be underlain by 45,000,000 million gallons of brines, a small portion of which are withdrawn and reinjected during petroleum and natural-gas extraction. Ongoing development of desalinization technology may lead to the ability to expand use of these saline waters in the future.
\nSeveral additional studies could improve understanding of the hydrologic resources of the Osage Nation. Development of computer models (simulations) of groundwater and surface-water flow for this area could enable testing of scenarios of localized and widespread effects of future climate variations and water-use changes on streamflows, lake-water levels, and groundwater levels in the Osage Nation. Installation of additional long-term streamflow and water-quality sampling stations, some with continuous water-quality monitors, could expand and improve understanding of surface-water quality. Periodic measurement of groundwater levels and sampling of water from a network of wells could provide better information about trends of groundwater quantity and quality with time. Measurement of water withdrawals at selected sites could enable more accurate estimates of water use. Lastly, better understanding of aquifer properties and spatial distribution of saline groundwater provided by geophysical surveys could improve understanding of fresh and saline groundwater resources underlying the Osage Nation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145134","collaboration":"Prepared in cooperation with the Osage Nation","usgsCitation":"Andrews, W.J., and Smith, S.J., 2014, Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012: U.S. Geological Survey Scientific Investigations Report 2014-5134, x, 53 p., https://doi.org/10.3133/sir20145134.","productDescription":"x, 53 p.","numberOfPages":"67","onlineOnly":"N","temporalStart":"1890-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-053211","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":292732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145134.jpg"},{"id":292731,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5134/pdf/sir2014-5134.pdf"},{"id":292723,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5134/"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Oklahoma","county":"Osage County","otherGeospatial":"Osage Nation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.0647,36.1609 ], [ -97.0647,36.9994 ], [ -96.0003,36.9994 ], [ -96.0003,36.1609 ], [ -97.0647,36.1609 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b2e4b05ec1f24290c2","contributors":{"authors":[{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70107995,"text":"fs20143039 - 2014 - Water resources of West Feliciana Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-08-21T08:50:02","indexId":"fs20143039","displayToPublicDate":"2014-08-21T08:43:00","publicationYear":"2014","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":"2014-3039","title":"Water resources of West Feliciana Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in West Feliciana Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143039","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., Lovelace, J.K., Tomaszewski, D.J., and Griffith, J.M., 2014, Water resources of West Feliciana Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3039, 6 p., https://doi.org/10.3133/fs20143039.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-054725","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":292730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143039.jpg"},{"id":292728,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3039/"},{"id":292729,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3039/pdf/fs2014-3039.pdf"}],"country":"United States","state":"Louisiana","county":"West Feliciana Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.666667,30.583333 ], [ -91.666667,31.00 ], [ -91.166667,31.00 ], [ -91.166667,30.583333 ], [ -91.666667,30.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b8e4b05ec1f24290e9","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":493946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomaszewski, Dan J.","contributorId":95544,"corporation":false,"usgs":true,"family":"Tomaszewski","given":"Dan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107026,"text":"sir20145093 - 2014 - Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada","interactions":[],"lastModifiedDate":"2017-01-03T17:18:04","indexId":"sir20145093","displayToPublicDate":"2014-08-21T08:34:00","publicationYear":"2014","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":"2014-5093","title":"Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada","docAbstract":"The Virgin River contributes a substantial amount of dissolved solids (salt) to the Colorado River at Lake Mead in the lower Colorado River Basin. Degradation of Colorado River water by the addition of dissolved solids from the Virgin River affects the suitability of the water for municipal, industrial, and agricultural use within the basin. Dixie Hot Springs in Utah are a major localized source of dissolved solids discharging to the Virgin River. The average measured discharge from Dixie Hot Springs during 2009–10 was 11.0 cubic feet per second (ft3/s), and the average dissolved-solids concentration was 9,220 milligrams per liter (mg/L). The average dissolved-solids load—a measurement that describes the mass of salt that is transported per unit of time—from Dixie Hot Springs during this period was 96,200 tons per year (ton/yr).
\nAnnual dissolved-solids loads were estimated at 13 monitoring sites in the Virgin River Basin from streamflow data and discrete measurements of dissolved-solids concentrations and (or) specific conductance. Eight of the sites had the data needed to estimate annual dissolved-solids loads for water years (WYs) 1999 through 2010. During 1999–2010, the smallest dissolved-solids loads in the Virgin River were upstream of Dixie Hot Springs (59,900 ton/yr, on average) and the largest loads were downstream of Littlefield Springs (298,200 ton/yr, on average). Annual dissolved-solids loads were smallest during 2002–03, which was a period of below normal precipitation. Annual dissolved-solids loads were largest during 2005—a year that included a winter rain storm that resulted in flooding throughout much of the Virgin River Basin.
\nAn average seepage loss of 26.7 ft3/s was calculated from analysis of monthly average streamflow from July 1998 to September 2010 in the Virgin River for the reach that extends from just upstream of the Utah/Arizona State line to just above the Virgin River Gorge Narrows. Seepage losses from three river reaches in the Virgin River Gorge containing known fault zones accounted for about 48 percent of this total seepage loss. An additional seepage loss of 6.7 ft3/s was calculated for the reach of the Virgin River between Bloomington, Utah, and the Utah/Arizona State line. This loss in flow is small compared to total flow in the river and is comparable to the rated error in streamflow measurements in this reach; consequently, it should be used with caution.
\nLittlefield Springs were studied to determine the fraction of its discharge that originates as upstream seepage from the Virgin River and residence time of this water in the subsurface. Geochemical and environmental tracer data from groundwater and surface-water sites in the Virgin River Gorge area suggest that discharge from Littlefield Springs is a mixture of modern (post-1950s) seepage from the Virgin River upstream of the springs and older groundwater from a regional carbonate aquifer. Concentrations of the chlorofluorocarbons (CFCs) CFC-12 and CFC-113, chloride/fluoride and chloride/bromide ratios, and the stable isotope deuterium indicate that water discharging from Littlefield Springs is about 60 percent seepage from the Virgin River and about 40 percent discharge from the regional carbonate aquifer. The river seepage component was determined to have an average subsurface traveltime of about 26 ±1.6 years before discharging at Littlefield Springs. Radiocarbon data for Littlefield Springs suggest groundwater ages from 1,000 to 9,000 years. Because these are mixed waters, the component of discharge from the carbonate aquifer is likely much older than the groundwater ages suggested by the Littlefield Springs samples.
\nIf the dissolved-solids load from Dixie Hot Springs to the Virgin River were reduced, the irrigation water subsequently applied to agricultural fields in the St. George and Washington areas, which originates as water from the Virgin River downstream of Dixie Hot Springs, would have a lower dissolved-solids concentration. Dissolved-solids concentrations in excess irrigation water draining from the agricultural fields are about 1,700 mg/L higher than the concentrations in the Virgin River water that is currently (2014) used for irrigation that contains inflow from Dixie Hot Springs; this increase results from evaporative concentration and dissolution of mineral salts in the irrigated agricultural fields. The water samples collected from drains downgradient from the irrigated areas are assumed to include the dissolution of all available minerals precipitated in the soil during the previous irrigation season. Based on this assumption, a change to more dilute irrigation water will not dissolve additional minerals and increase the dissolved-solids load in the drain discharge. Following the hypothetical reduction of salts from Dixie Hot Springs, which would result in more dilute Virgin River irrigation water than is currently used, the dissolution of minerals left in the soil from the previous irrigation season would result in a net increase in dissolved-solids concentrations in the drain discharge, but this increase should only last one irrigation season. After one (or several) seasons of irrigating with more dilute irrigation water, mineral precipitation and subsequent re-dissolution beneath the agricultural fields should be greatly reduced, leading to a reduction in dissolved-solids load to the Virgin River below the agricultural drains.
\nA mass-balance model was used to predict changes in the dissolved-solids load in the Virgin River if the salt discharging from Dixie Hot Springs were reduced or removed. Assuming that 33.4 or 26.7 ft3/s of water seeps from the Virgin River to the groundwater system upstream of the Virgin River Gorge Narrows, the immediate hypothetical reduction in dissolved-solids load in the Virgin River at Littlefield, Arizona is estimated to be 67,700 or 71,500 ton/yr, respectively. The decrease in dissolved-solids load in seepage from the Virgin River to the groundwater system is expected to reduce the load discharging from Littlefield Springs in approximately 26 years, the estimated time lag between seepage from the river and discharge of the seepage water, after subsurface transport, from Littlefield Springs. At that time, the entire reduction in dissolved solids seeping from the Virgin River is expected to be realized as a reduction in dissolved solids discharging from Littlefield Springs, resulting in an additional reduction of 24,700 ton/yr (based on 33.4 ft3/s of seepage loss) or 21,000 ton/yr (based on 26.7 ft3/s of seepage loss) in the river’s dissolved-solids load at Littlefield.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145093","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Basin Salinity Control Forum","usgsCitation":"Gerner, S.J., and Thiros, S.A., 2014, Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5093, vi, 47 p., https://doi.org/10.3133/sir20145093.","productDescription":"vi, 47 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-039473","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":292727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145093.jpg"},{"id":292726,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5093/pdf/sir2014-5093.pdf"},{"id":292722,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5093/"}],"projection":"U.S.A. Contiguous Albers Equal Area Conic projection","datum":"North American Datum 1983","country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Dixie Hot Springs, Littlefield Springs, Virgin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.333333,36.5 ], [ -114.333333,37.5 ], [ -112.916667,37.5 ], [ -112.916667,36.5 ], [ -114.333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b7e4b05ec1f24290d9","contributors":{"editors":[{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509846,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509845,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120901,"text":"ds860 - 2014 - Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012","interactions":[],"lastModifiedDate":"2014-08-21T08:30:40","indexId":"ds860","displayToPublicDate":"2014-08-21T08:25:00","publicationYear":"2014","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":"860","title":"Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012","docAbstract":"The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On August 8, 2012, the USGS conducted an oblique aerial photographic survey from Dauphin Island, Alabama, to Breton Island, Louisiana, aboard a Cessna 172 at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes since the last survey, and the data can be used in the assessment of future coastal change.
\nThe images provided here are Joint Photographic Experts Group (JPEG) images. Exiftool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segements can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, name, date, and time each of the 1241 photographs taken along with links to each photograph. The photography is organized into segments, also referred to as contact sheets, and represent approximately 5 minutes of flight time. (Also see the Photos and Maps page).
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds860","usgsCitation":"Morgan, K., and Westphal, K.A., 2014, Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012: U.S. Geological Survey Data Series 860, HTML Document, https://doi.org/10.3133/ds860.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-049766","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds860.PNG"},{"id":292724,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0860/ds860_title.html"},{"id":292721,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0860/"}],"country":"United States","state":"Alabama;Louisiana","otherGeospatial":"Breton Island;Dauphin Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.2 ], [ -90.0,30.8 ], [ -88.0,30.8 ], [ -88.0,29.2 ], [ -90.0,29.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9afe4b05ec1f24290b5","contributors":{"authors":[{"text":"Morgan, Karen L.M. 0000-0002-2994-5572","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":95553,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","affiliations":[],"preferred":false,"id":498584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westphal, Karen A.","contributorId":92435,"corporation":false,"usgs":true,"family":"Westphal","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":498583,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134825,"text":"70134825 - 2014 - Book review: Spatial capture-recapture","interactions":[],"lastModifiedDate":"2016-06-22T15:15:26","indexId":"70134825","displayToPublicDate":"2014-08-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Spatial capture-recapture","docAbstract":"Understanding how animals use space is a vital aspect of conservation planning and wildlife management. Technological developments (e.g., increased computer power and desktop geographic information system [GIS] applications) are bringing the ability to analyze spatial data sets to the individual biologist. Therefore, it is not surprising that methodologies have been developed to incorporate space into capture-recapture models, which are some of the most fundamental models in the field of wildlife ecology. Spatial Capture-Recapture (hereafter SCR) is a timely and informative contribution that summarizes the history and motivation behind SCR models, in addition to providing details of the methodological framework that allows the reader to develop and customize SCR models to address their own ecological questions.
\nReview info: Spatial Capture-Recapture. By J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, and Beth Gardner, 2014. ISBN: 978-0124059399, 577 pp.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.762","usgsCitation":"Russell, R.E., 2014, Book review: Spatial capture-recapture: Journal of Wildlife Management, v. 78, no. 7, p. 1319-1320, https://doi.org/10.1002/jwmg.762.","productDescription":"2 p.","startPage":"1319","endPage":"1320","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057168","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":296461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"5482e542e4b0aa6d77852ff9","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":526491,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70110382,"text":"ds857 - 2014 - Baseline coastal oblique aerial photographs collected from Breton Island, Louisiana, to the Alabama-Florida border, July 13, 2013","interactions":[],"lastModifiedDate":"2014-08-20T14:12:20","indexId":"ds857","displayToPublicDate":"2014-08-20T14:08:00","publicationYear":"2014","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":"857","title":"Baseline coastal oblique aerial photographs collected from Breton Island, Louisiana, to the Alabama-Florida border, July 13, 2013","docAbstract":"The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On July 13, 2013, the USGS conducted an oblique aerial photographic survey from Breton Island, Louisiana, to the Alabama-Florida border, aboard a Cessna 172 flying at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes since the last survey, and the data can be used in the assessment of future coastal change.
\nThe images provided here are Joint Photographic Experts Group (JPEG) images. ExifTtool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segements can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, name, date, and time each of the 1242 photographs taken along with links to each photograph. The photography is organized into segments, also referred to as contact sheets, and represent approximately 5 minutes of flight time. (Also see the Photos and Maps page).
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds857","usgsCitation":"Morgan, K., and Westphal, K.A., 2014, Baseline coastal oblique aerial photographs collected from Breton Island, Louisiana, to the Alabama-Florida border, July 13, 2013: U.S. Geological Survey Data Series 857, HTML Document, https://doi.org/10.3133/ds857.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-050158","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds857.jpg"},{"id":292676,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0857/"},{"id":292677,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0857/ds857_title.html"}],"country":"United States","state":"Alabama;Florida;Louisiana;Mississippi","otherGeospatial":"Breton Island;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.75,28.75 ], [ -88.75,30.25 ], [ -88.5,30.25 ], [ -88.5,28.75 ], [ -88.75,28.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f5a82ee4b09d12e0e85121","contributors":{"authors":[{"text":"Morgan, Karen L.M. 0000-0002-2994-5572","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":95553,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","affiliations":[],"preferred":false,"id":494048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westphal, Karen A.","contributorId":92435,"corporation":false,"usgs":true,"family":"Westphal","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494047,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70107926,"text":"fs20143044 - 2014 - Water resources of Caldwell Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-08-20T14:12:43","indexId":"fs20143044","displayToPublicDate":"2014-08-20T14:07:00","publicationYear":"2014","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":"2014-3044","title":"Water resources of Caldwell Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Caldwell Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143044","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., and White, V.E., 2014, Water resources of Caldwell Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3044, 6 p., https://doi.org/10.3133/fs20143044.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-055490","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":292678,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3044/"},{"id":292680,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3044/pdf/fs2014-3044.pdf"},{"id":292681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143044.jpg"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"Caldwell Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.333333,31.916667 ], [ -92.333333,32.333333 ], [ -91.833333,32.333333 ], [ -91.833333,31.916667 ], [ -92.333333,31.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f5a832e4b09d12e0e85132","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":493936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70123544,"text":"70123544 - 2014 - Utilizing hunter harvest effort to survey for wildlife disease: a case study of West Nile virus in greater sage-grouse","interactions":[],"lastModifiedDate":"2018-10-11T16:37:44","indexId":"70123544","displayToPublicDate":"2014-08-20T12:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Utilizing hunter harvest effort to survey for wildlife disease: a case study of West Nile virus in greater sage-grouse","docAbstract":"Greater sage-grouse (Centrocercus urophasianus; sage-grouse) are highly susceptible to infection with West Nile virus (WNV), with substantial mortality reported in wild populations and in experimentally infected birds. Although sage-grouse are hunted throughout much of their range, they have also recently been considered for protection under the Endangered Species Act. We used blood samples collected on filter-paper strips during the 2006–2010 Oregon, USA, annual sage-grouse hunt to survey for specific WNV-neutralizing antibodies that indicate a previous infection with WNV. During this period, hunters submitted 1,880 blood samples from sage-grouse they harvested. Samples obtained were proportional for all 12 Oregon sage-grouse hunting units. Laboratory testing of 1,839 samples by the WNV epitope-blocking enzyme-linked immunosorbent assay (bELISA) followed by plaque reduction neutralization test on bELISA-positive samples yielded 19 (1%) and 1 (0.05%) positive samples, respectively. These data provided early baseline information for future comparisons regarding the prevalence of WNV-specific neutralizing antibodies in sage-grouse in Oregon. This methodology may provide other states where sage-grouse (or other species) populations are hunted and where WNV constitutes a species conservation concern with a viable option to track the relative prevalence of the virus in populations.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.472","usgsCitation":"Dusek, R., Hagen, C.A., Franson, J., Budeau, D.A., and Hofmeister, E.K., 2014, Utilizing hunter harvest effort to survey for wildlife disease: a case study of West Nile virus in greater sage-grouse: Wildlife Society Bulletin, v. 38, no. 4, p. 721-727, https://doi.org/10.1002/wsb.472.","productDescription":"7 p.","startPage":"721","endPage":"727","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-040806","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":499983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/903a10d9b61f4567b7ca7472c8671126","text":"External 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