The U.S. Geological Survey (USGS), in cooperation with the San Antonio Water System (SAWS), collected data during 2004–11 to characterize the quality of native groundwater from the San Antonio segment of the Edwards aquifer (hereinafter, Edwards aquifer) and preinjection and postinjection water from the Carrizo aquifer (informal name commonly applied to the upper part of the Carrizo-Wilcox aquifer in the area) at and near an aquifer storage and recovery (ASR) site in Bexar, Atascosa, and Wilson Counties, Texas. Daily mean water-level altitude, water temperature, and specific conductance were measured continuously in a monitoring well on the ASR site to determine how injection and withdrawal at the ASR site might affect local groundwater. Groundwater samples were collected and analyzed for selected physical properties and constituents to characterize the quality of native groundwater from the Edwards aquifer and preinjection and postinjection water from the Carrizo aquifer near the ASR site to provide a better understanding of possible changes in the quality of groundwater near an active ASR site that might result from the mixing of water from different aquifers. During injection periods, the water-level altitude in the monitoring well generally increased as the amount of water being injected into all wells at the ASR site increased and decreased as the amount of water being injected into all wells at the ASR site decreased. During withdrawal periods, the water-level altitude in the monitoring well generally increased as the total volume of water being withdrawn from all wells at the ASR site decreased and generally decreased as the total volume of water being withdrawn from all wells increased. Daily mean water temperature fluctuated by less than 1 degree Celsius and was determined to be independent of injection or withdrawal conditions at the ASR site. Changes in daily mean specific-conductance values measured at four depths in the monitoring well at the ASR site occurred without regard to total ASR site injection or withdrawal volumes. No substantial differences were measured over time in major-ion, trace-element, or isotope chemistry of water samples collected from the wells that supplied water from the Edwards aquifer. Little variation in water chemistry was detected in the samples collected from four wells designed to inject and withdraw water at the ASR site, regardless of whether the ASR site was injecting or withdrawing water. The similarity of major-ion and isotope chemistry between the Edwards aquifer source wells and the four ASR wells indicates that little, if any, migration of injected water away from the ASR wells has occurred. In a well located closest to the ASR site in the direction of regional flow for the Carrizo aquifer, a greater alkalinity value and a smaller concentration of chloride were measured in the most recent sample than in all other samples collected at this well. Substantial increases in dissolved iron and manganese concentrations also were observed in this well. The increased alkalinity value and dissolved iron and manganese concentrations and the decreased chloride concentration in the well could indicate that the injected water from the Edwards aquifer had begun to move into at least a part of the strata supplying these wells and might be causing iron and manganese mobilization in the Carrizo aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125260","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Crow, C.L., 2012, Water-level altitudes and continuous and discrete water quality at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-September 2011: U.S. Geological Survey Scientific Investigations Report 2012-5260, vii, 85 p., https://doi.org/10.3133/sir20125260.","productDescription":"vii, 85 p.","numberOfPages":"98","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-06-01","temporalEnd":"2011-09-30","ipdsId":"IP-041166","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":263956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5260.gif"},{"id":263954,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5260/"},{"id":263955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5260/pdf/sir2012-5260.pdf"}],"country":"United States","state":"Texas","county":"Atascosa County, Bexar County, Wilson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.51,25.84 ], [ -93.51,36.5 ], [ -106.65,36.5 ], [ -106.65,25.84 ], [ -93.51,25.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85642e4b03bc63bd679ca","contributors":{"authors":[{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470144,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041489,"text":"70041489 - 2012 - Remote sensing of sagebrush canopy nitrogen","interactions":[],"lastModifiedDate":"2012-12-11T10:46:53","indexId":"70041489","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of sagebrush canopy nitrogen","docAbstract":"This paper presents a combination of techniques suitable for remotely sensing foliar Nitrogen (N) in semiarid shrublands – a capability that would significantly improve our limited understanding of vegetation functionality in dryland ecosystems. The ability to estimate foliar N distributions across arid and semi-arid environments could help answer process-driven questions related to topics such as controls on canopy photosynthesis, the influence of N on carbon cycling behavior, nutrient pulse dynamics, and post-fire recovery. Our study determined that further exploration into estimating sagebrush canopy N concentrations from an airborne platform is warranted, despite remote sensing challenges inherent to open canopy systems. Hyperspectral data transformed using standard derivative analysis were capable of quantifying sagebrush canopy N concentrations using partial least squares (PLS) regression with an R2 value of 0.72 and an R2 predicted value of 0.42 (n = 35). Subsetting the dataset to minimize the influence of bare ground (n = 19) increased R2 to 0.95 (R2 predicted = 0.56). Ground-based estimates of canopy N using leaf mass per unit area measurements (LMA) yielded consistently better model fits than ground-based estimates of canopy N using cover and height measurements. The LMA approach is likely a method that could be extended to other semiarid shrublands. Overall, the results of this study are encouraging for future landscape scale N estimates and represent an important step in addressing the confounding influence of bare ground, which we found to be a major influence on predictions of sagebrush canopy N from an airborne platform.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2012.05.002","usgsCitation":"Mitchell, J.J., Glenn, N.F., Sankey, T., Derryberry, D., and Germino, M., 2012, Remote sensing of sagebrush canopy nitrogen: Remote Sensing of Environment, v. 124, p. 217-223, https://doi.org/10.1016/j.rse.2012.05.002.","productDescription":"7 p.","startPage":"217","endPage":"223","ipdsId":"IP-038733","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263919,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2012.05.002"}],"volume":"124","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c8562ce4b03bc63bd679ba","contributors":{"authors":[{"text":"Mitchell, Jessica J.","contributorId":81772,"corporation":false,"usgs":true,"family":"Mitchell","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Nancy F.","contributorId":95321,"corporation":false,"usgs":true,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":469837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen T.","contributorId":38863,"corporation":false,"usgs":true,"family":"Sankey","given":"Temuulen T.","affiliations":[],"preferred":false,"id":469834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derryberry, DeWayne R.","contributorId":99016,"corporation":false,"usgs":true,"family":"Derryberry","given":"DeWayne R.","affiliations":[],"preferred":false,"id":469838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":469835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041723,"text":"sir20115118 - 2012 - Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2012-12-11T14:34:07","indexId":"sir20115118","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","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":"2011-5118","title":"Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi","docAbstract":"Over the past 100 years, natural streamflow in Waipiʻo Valley has been reduced by the transfer of water out of the valley by Upper and Lower Hāmākua Ditches. The physical condition and diversion practices along the two ditch systems have varied widely over the years, and as a result, so have their effects on natural streamflow in Waipiʻo Valley. Recent renovation and improvements to Lower Hāmākua Ditch system, along with proposals for its future operation and water-diversion strategies, have unknown implications. The purpose of this report is to quantify the availability of streamflow and to determine the effects of current and proposed diversion strategies on the low-flow hydrology in Waipiʻo Valley. In this report, the low-flow hydrology of Waipiʻo Valley is described in terms of flow-duration statistics. Flow-duration statistics were computed for three locations in the Waipiʻo Valley study area where long-term surface-water gaging stations have been operated. Using a variety of streamflow record-extension techniques, flow-duration statistics were estimated at an additional 13 locations where only few historical data are available or where discharge measurements were made as part of this study. Flow-duration statistics were computed to reflect natural conditions, current (2000-2005) diversion conditions, and proposed future diversion conditions at the 16 locations. At the downstream limit of the study area, on Wailoa Stream at an altitude of 190 feet, a baseline for evaluating the availability of streamflow is provided by computed flow-duration statistics that are representative of natural, no-diversion conditions. At the Wailoa gaging station, 95- and 50-percentile discharges under natural conditions were determined to be 86 and 112 cubic feet per second, respectively. Under 1965-1969 diversion conditions, natural 95- and 50-percentile discharges were reduced by 52 and 53 percent, to 41 and 53 cubic feet per second, respectively. Under current (2000-2005) diversion conditions, natural 95- and 50-percentile discharges were reduced by 21 and 24 percent, to 68 and 85 cubic feet per second, respectively. Under proposed future diversion conditions, natural 95- and 50-percentile discharges would be reduced by 33 and 24 percent, to 58 and 85 cubic feet per second, respectively. Compared to discharges that reflect current (2000-2005) diversion conditions, proposed future diversion conditions would reduce 95-percentile discharges, which are representative of moderate drought levels in the stream, by 15 percent. No change would be expected in 50-percentile discharges, which are representative of normal conditions. The effects of current (2000-2005) and proposed future diversion conditions on the natural flow of streams in the Waipiʻo Valley study area differ, depending on the location. Under current (2000-2005) diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet and in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches. Under proposed future diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet, in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches, and along most stream reaches downstream from Lower Hāmākua Ditch, except for Waimā Stream.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115118","collaboration":"Prepared in cooperation with the State of Hawaiʻi Office of Hawaiian Affairs","usgsCitation":"Fontaine, R.A., 2012, Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2011-5118, ix, 80 p., https://doi.org/10.3133/sir20115118.","productDescription":"ix, 80 p.","numberOfPages":"94","onlineOnly":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":263941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5118.gif"},{"id":263939,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5118/"},{"id":263940,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5118/sir2011-5118.pdf"}],"scale":"24000","projection":"Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","city":"Hawai?i","otherGeospatial":"Waipi?o Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 155.70,20.00 ], [ 155.70,20.15 ], [ 155.56,20.15 ], [ 155.56,20.00 ], [ 155.70,20.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85615e4b03bc63bd679a6","contributors":{"authors":[{"text":"Fontaine, Richard A. rfontain@usgs.gov","contributorId":2379,"corporation":false,"usgs":true,"family":"Fontaine","given":"Richard","email":"rfontain@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":470109,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041048,"text":"70041048 - 2012 - The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival","interactions":[],"lastModifiedDate":"2020-12-29T16:59:56.53923","indexId":"70041048","displayToPublicDate":"2012-12-10T13:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival","title":"The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival","docAbstract":"Management of polar bear (Ursus maritimus) populations requires the periodic assessment of life history metrics such as survival rate. This information is frequently obtained during short-term capture and marking efforts (e.g., over the course of three years) that result in hundreds of marked bears remaining in the population after active marking is finished. Using 10 additional years of harvest recovery subsequent to a period of active marking, we provide updated estimates of annual survival for polar bears in the Baffin Bay population of Greenland and Canada. Our analysis suggests a decline in survival of polar bears since the period of active marking that ended in 1997; some of the decline in survival can likely be attributed to a decline in springtime ice concentration over the continental shelf of Baffin Island. The variance around the survival estimates is comparatively high because of the declining number of marks available; therefore, results must be interpreted with caution. The variance of the estimates of survival increased most substantially in the sixth year post-marking. When survival estimates calculated with recovery-only and recapture-recovery data sets from the period of active marking were compared, survival rates were indistinguishable. However, for the period when fewer marks were available, survival estimates were lower using the recovery-only data set, which indicates that part of the decline we detected for 2003 – 09 may be due to using only harvest recovery data. Nevertheless, the decline in the estimates of survival is consistent with population projections derived from harvest numbers and earlier vital rates, as well as with an observed decline in the extent of sea ice habitat.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4237","usgsCitation":"Peacock, E.L., Laake, J., Laidre, K., Born, E.W., and Atkinson, S.N., 2012, The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival: Arctic, v. 65, no. 4, p. 391-400, https://doi.org/10.14430/arctic4237.","productDescription":"10 p.","startPage":"391","endPage":"400","ipdsId":"IP-036229","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4237","text":"Publisher Index Page"},{"id":381727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;Greenland","otherGeospatial":"Baffin Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.86,63.91 ], [ -99.86,81.64 ], [ -48.67,81.64 ], [ -48.67,63.91 ], [ -99.86,63.91 ] ] ] } } ] }","volume":"65","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-10","publicationStatus":"PW","scienceBaseUri":"53cd78c1e4b0b2908510c5e5","contributors":{"authors":[{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":469261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laake, Jeff","contributorId":81444,"corporation":false,"usgs":true,"family":"Laake","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":469260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidre, Kristin L.","contributorId":37646,"corporation":false,"usgs":true,"family":"Laidre","given":"Kristin L.","affiliations":[],"preferred":false,"id":469259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Born, Erik W.","contributorId":8379,"corporation":false,"usgs":false,"family":"Born","given":"Erik","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":469258,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041641,"text":"70041641 - 2012 - Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation","interactions":[],"lastModifiedDate":"2012-12-10T11:27:29","indexId":"70041641","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","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":"Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation","docAbstract":"Wetlands in the Mississippi River deltaic plain are deteriorating in part because levees and control structures starve them of sediment. In Spring of 2011 a record-breaking flood brought discharge on the lower Mississippi River to dangerous levels, forcing managers to divert up to 3500 m3/s-1 of water to the Atchafalaya River Basin. Here we quantify differences between the Mississippi and Atchafalaya River inundation and sediment-plume patterns using field-calibrated satellite data, and assess the impact these outflows had on wetland sedimentation. We characterize hydrodynamics and suspended sediment patterns of the Mississippi River plume using in-situ data collected during the historic flood. We show that the focused, high-momentum jet from the leveed Mississippi delivered sediment far offshore. In contrast, the plume from the Atchafalaya was more diffuse; diverted water inundated a large area; and sediment was trapped within the coastal current. Maximum sedimentation (up to several centimetres) occurred in the Atchafalaya Basin despite the larger sediment load carried by the Mississippi. Minimum accumulation occurred along the shoreline between these river sources. Our findings provide a mechanistic link between river-mouth dynamics and wetland sedimentation patterns that is relevant for plans to restore deltaic wetlands using artificial diversions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, UK","doi":"10.1038/ngeo1615","usgsCitation":"Falcini, F., Khan, N., Macelloni, L., Horton, B.P., Lutken, C.B., McKee, K.L., Santoleri, R., Colella, S., Li, C., Volpe, G., D’Emidio, M., Salusti, A., and Jerolmack, D.J., 2012, Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation: Nature Geoscience, v. 5, p. 803-807, https://doi.org/10.1038/ngeo1615.","productDescription":"5 p.","startPage":"803","endPage":"807","numberOfPages":"4","ipdsId":"IP-037659","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":263901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263900,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo1615"}],"country":"United States","otherGeospatial":"Atchafalaya River","volume":"5","noUsgsAuthors":false,"publicationDate":"2012-10-21","publicationStatus":"PW","scienceBaseUri":"50c70468e4b0ebb3997466d5","contributors":{"authors":[{"text":"Falcini, Federico","contributorId":10305,"corporation":false,"usgs":true,"family":"Falcini","given":"Federico","email":"","affiliations":[],"preferred":false,"id":470036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khan, Nicole S.","contributorId":52466,"corporation":false,"usgs":true,"family":"Khan","given":"Nicole S.","affiliations":[],"preferred":false,"id":470037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macelloni, Leonardo","contributorId":78621,"corporation":false,"usgs":true,"family":"Macelloni","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":470043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutken, Carol B.","contributorId":69433,"corporation":false,"usgs":true,"family":"Lutken","given":"Carol","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santoleri, Rosalia","contributorId":69434,"corporation":false,"usgs":true,"family":"Santoleri","given":"Rosalia","email":"","affiliations":[],"preferred":false,"id":470042,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Colella, Simone","contributorId":61309,"corporation":false,"usgs":true,"family":"Colella","given":"Simone","email":"","affiliations":[],"preferred":false,"id":470038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Chunyan","contributorId":101163,"corporation":false,"usgs":true,"family":"Li","given":"Chunyan","email":"","affiliations":[],"preferred":false,"id":470047,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Volpe, Gianluca","contributorId":86656,"corporation":false,"usgs":true,"family":"Volpe","given":"Gianluca","email":"","affiliations":[],"preferred":false,"id":470045,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"D’Emidio, Marco","contributorId":94564,"corporation":false,"usgs":true,"family":"D’Emidio","given":"Marco","email":"","affiliations":[],"preferred":false,"id":470046,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Salusti, Alessandro","contributorId":68618,"corporation":false,"usgs":true,"family":"Salusti","given":"Alessandro","email":"","affiliations":[],"preferred":false,"id":470040,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jerolmack, Douglas J.","contributorId":78622,"corporation":false,"usgs":true,"family":"Jerolmack","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470044,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70041421,"text":"70041421 - 2012 - Improving the accuracy of S02 column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account","interactions":[],"lastModifiedDate":"2019-05-30T12:56:47","indexId":"70041421","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Improving the accuracy of S02 column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account","docAbstract":"Sulfur dioxide (SO2) is monitored using ultraviolet (UV) absorption spectroscopy at numerous volcanoes around the world due to its importance as a measure of volcanic activity and a tracer for other gaseous species. Recent studies have shown that failure to take realistic radiative transfer into account during the spectral retrieval of the collected data often leads to large errors in the calculated emission rates. Here, the framework for a new evaluation method which couples a radiative transfer model to the spectral retrieval is described. In it, absorption spectra are simulated, and atmospheric parameters are iteratively updated in the model until a best match to the measurement data is achieved. The evaluation algorithm is applied to two example Differential Optical Absorption Spectroscopy (DOAS) measurements conducted at Kilauea volcano (Hawaii). The resulting emission rates were 20 and 90% higher than those obtained with a conventional DOAS retrieval performed between 305 and 315 nm, respectively, depending on the different SO2 and aerosol loads present in the volcanic plume. The internal consistency of the method was validated by measuring and modeling SO2 absorption features in a separate wavelength region around 375 nm and comparing the results. Although additional information about the measurement geometry and atmospheric conditions is needed in addition to the acquired spectral data, this method for the first time provides a means of taking realistic three-dimensional radiative transfer into account when analyzing UV-spectral absorption measurements of volcanic SO2 plumes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JD017936","usgsCitation":"Kern, C., Deutschmann, T., Werner, C., Sutton, A.J., Elias, T., and Kelly, P., 2012, Improving the accuracy of S02 column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account: Journal of Geophysical Research D: Atmospheres, v. 117, 23 p.; D20302, https://doi.org/10.1029/2012JD017936.","productDescription":"23 p.; D20302","numberOfPages":"23","ipdsId":"IP-037318","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":264054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264053,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JD017936"}],"country":"United States","volume":"117","noUsgsAuthors":false,"publicationDate":"2012-10-18","publicationStatus":"PW","scienceBaseUri":"50cc58ece4b00ab7c548c6ac","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deutschmann, Tim","contributorId":57742,"corporation":false,"usgs":true,"family":"Deutschmann","given":"Tim","email":"","affiliations":[],"preferred":false,"id":469701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":11444,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":469699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, A. Jeff","contributorId":45605,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"Jeff","affiliations":[],"preferred":false,"id":469700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Peter J.","contributorId":72685,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter J.","affiliations":[],"preferred":false,"id":469702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041645,"text":"sir20125155 - 2012 - Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts","interactions":[],"lastModifiedDate":"2018-04-03T11:29:07","indexId":"sir20125155","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5155","title":"Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts","docAbstract":"The yield of bedrock wells in the fractured-bedrock aquifers of the Nashoba terrane and surrounding area, central and eastern Massachusetts, was investigated with analyses of existing data. Reported well yield was compiled for 7,287 wells from Massachusetts Department of Environmental Protection and U.S. Geological Survey databases. Yield of these wells ranged from 0.04 to 625 gallons per minute. In a comparison with data from 103 supply wells, yield and specific capacity from aquifer tests were well correlated, indicating that reported well yield was a reasonable measure of aquifer characteristics in the study area.\n\nStatistically significant relations were determined between well yield and a number of cultural and hydrogeologic factors. Cultural variables included intended water use, well depth, year of construction, and method of yield measurement. Bedrock geology, topography, surficial geology, and proximity to surface waters were statistically significant hydrogeologic factors. Yield of wells was higher in areas of granites, mafic intrusive rocks, and amphibolites than in areas of schists and gneisses or pelitic rocks; higher in valleys and low-slope areas than on hills, ridges, or high slopes; higher in areas overlain by stratified glacial deposits than in areas overlain by till; and higher in close proximity to streams, ponds, and wetlands than at greater distances from these surface-water features. Proximity to mapped faults and to lineaments from aerial photographs also were related to well yield by some measures in three quadrangles in the study area. Although the statistical significance of these relations was high, their predictive power was low, and these relations explained little of the variability in the well-yield data.\n\nSimilar results were determined from a multivariate regression analysis. Multivariate regression models for the Nashoba terrane and for a three-quadrangle subarea included, as significant variables, many of the cultural and hydrogeologic factors that were individually related to well yield, in ways that are consistent with conceptual understanding of their effects, but the models explained only 21 percent (regional model for the entire terrane) and 30 percent (quadrangle model) of the overall variance in yield. Moreover, most of the explained variance was due to well characteristics rather than hydrogeologic factors. Hydrogeologic factors such as topography and geology are likely important. However, the overall high variability in the well-yield data, which results from the high variability in aquifer hydraulic properties as well as from limitations of the dataset, would make it difficult to use hydrogeologic factors to predict well yield in the study area.\n\nGeostatistical analysis (variograms), on the other hand, indicated that, although highly variable, the well-yield data are spatially correlated. The spatial continuity appears greater in the northeast-southwest direction and less in the southeast-northwest direction, directions that are parallel and perpendicular, respectively, to the regional geologic structural trends. Geostatistical analysis (kriging), used to estimate yield values throughout the study area, identified regional-scale areas of higher and lower yield that may be related to regional structural features—in particular, to a northeast-southwest trending regional fault zone within the Nashoba terrane. It also would be difficult to use kriging to predict yield at specific locations, however, because of the spatial variability in yield, particularly at small scales. The regional-scale analyses in this study, both with hydrogeologic variables and geostatistics, provide a context for understanding the variability in well yield, rather a basis for precise predictions, and site-specific information would be needed to understand local conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125155","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"DeSimone, L., and Barbaro, J.R., 2012, Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2012-5155, viii, 74 p., https://doi.org/10.3133/sir20125155.","productDescription":"viii, 74 p.","numberOfPages":"86","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438798,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PV6HTP","text":"USGS data release","linkHelpText":"Bedrock well yield, lineaments, and ancillary data in the Nashoba Terrane, central and eastern Massachusetts"},{"id":263904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5155.jpg"},{"id":263902,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5155/"},{"id":263903,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5155/pdf/sir2012-5155_508.pdf"}],"country":"United States","state":"Massachusetts","city":"Webster;Dudley;Newbury;Rowley;Salisbury;Worcester","otherGeospatial":"Sudbury River;Assabet River;Concord River;Blackstone River;Ipswich River;Parker River;French River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.0209,41.9962 ], [ -72.0209,42.8921 ], [ -70.675,42.8921 ], [ -70.675,41.9962 ], [ -72.0209,41.9962 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c70477e4b0ebb3997466d9","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":176711,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie A.","email":"ldesimon@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":470049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041627,"text":"sir20125225 - 2012 - Century-scale perspective on water quality in selected river basins of the conterminous United States","interactions":[],"lastModifiedDate":"2012-12-08T15:59:58","indexId":"sir20125225","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5225","title":"Century-scale perspective on water quality in selected river basins of the conterminous United States","docAbstract":"Nutrient pollution in the form of excess nitrogen and phosphorus inputs is a well-known cause of water-quality degradation that has affected water bodies across the Nation throughout the 20th century. The recognition of excess nutrients as pollution developed later than the recognition of other water-quality problems, such as waterborne illness, industrial pollution, and organic wastes. Nevertheless, long-term analysis of nutrient pollution is fundamental to our understanding of the current magnitude of the problem, as well the origins and the effects. This report describes the century-scale changes in water quality across a range streams in order to place current water-quality concerns in historical context and presents this history on a national scale as well as for selected river reaches. The primary focus is on nutrient pollution, but the development and societal responses to other water-quality problems also are considered. Land use and agriculture in the selected river reaches also are analyzed to consider how these factors may relate to nutrient pollution. Finally, the availability of relevant nutrient and inorganic carbon data are presented for the selected river reaches. Sources of these data included Federal agencies, State-level reports, municipal public works facilities, public health surveys, and sanitary surveys. The availability of these data extends back more than a century for most of the selected river reaches and suggests that there is a tremendous opportunity to document the development of nutrient pollution in these river reaches.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125225","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Stets, E., Kelly, V.J., Broussard, W.P., Smith, T.E., and Crawford, C.G., 2012, Century-scale perspective on water quality in selected river basins of the conterminous United States: U.S. Geological Survey Scientific Investigations Report 2012-5225, viii, 108 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125225.","productDescription":"viii, 108 p.; col. ill.; maps (col.)","startPage":"i","endPage":"108","numberOfPages":"120","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":263873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5225.jpg"},{"id":263871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5225/"},{"id":263872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5225/pdf/sir20125225.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.0,24.0 ], [ -125.0,50.0 ], [ -65.0,50.0 ], [ -65.0,24.0 ], [ -125.0,24.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46176e4b0e44331d07158","contributors":{"authors":[{"text":"Stets, Edward G.","contributorId":96559,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","affiliations":[],"preferred":false,"id":470014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Valerie J. vjkelly@usgs.gov","contributorId":4161,"corporation":false,"usgs":true,"family":"Kelly","given":"Valerie","email":"vjkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broussard, Whitney P. III","contributorId":62101,"corporation":false,"usgs":true,"family":"Broussard","given":"Whitney","suffix":"III","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470010,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041597,"text":"70041597 - 2012 - Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.","interactions":[],"lastModifiedDate":"2013-11-15T10:48:31","indexId":"70041597","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.","docAbstract":"Premise of the study: Reconstruction of floristic patterns during the early diversification of angiosperms is impeded by the scarce fossil record, especially in tropical latitudes. Here we collected quantitative palynological data from a stratigraphic sequence in tropical South America to provide floristic and climatic insights into such tropical environments during the Early Cretaceous.\n\nMethods: We reconstructed the floristic composition of an Aptian-Albian tropical sequence from central Colombia using quantitative palynology (rarefied species richness and abundance) and used it to infer its predominant climatic conditions. Additionally, we compared our results with available quantitative data from three other sequences encompassing 70 floristic assemblages to determine latitudinal diversity patterns.\n\nKey results: Abundance of humidity indicators was higher than that of aridity indicators (61% vs. 10%). Additionally, we found an angiosperm latitudinal diversity gradient (LDG) for the Aptian, but not for the Albian, and an inverted LDG of the overall diversity for the Albian. Angiosperm species turnover during the Albian, however, was higher in humid tropics.\n\nConclusions: There were humid climates in northwestern South America during the Aptian-Albian interval contrary to the widespread aridity expected for the tropical belt. The Albian inverted overall LDG is produced by a faster increase in per-sample angiosperm and pteridophyte diversity in temperate latitudes. However, humid tropical sequences had higher rates of floristic turnover suggesting a higher degree of morphological variation than in temperate regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Botany","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Botanical Society of America","publisherLocation":"St. Louis, MO","doi":"10.3732/ajb.1200135","usgsCitation":"Mejia-Velasquez, P., Dilcher, D.L., Jaramillo, C., Fortini, L., and Manchester, S., 2012, Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.: American Journal of Botany, v. 99, no. 11, p. 1819-1827, https://doi.org/10.3732/ajb.1200135.","productDescription":"9 p.","startPage":"1819","endPage":"1827","ipdsId":"IP-041295","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":263887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3732/ajb.1200135"}],"otherGeospatial":"South America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,-56.5 ], [ -94.0,13.1 ], [ -32.6,13.1 ], [ -32.6,-56.5 ], [ -94.0,-56.5 ] ] ] } } ] }","volume":"99","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46194e4b0e44331d07174","contributors":{"authors":[{"text":"Mejia-Velasquez, Paula J.","contributorId":19447,"corporation":false,"usgs":true,"family":"Mejia-Velasquez","given":"Paula J.","affiliations":[],"preferred":false,"id":469965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilcher, David L.","contributorId":32208,"corporation":false,"usgs":true,"family":"Dilcher","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaramillo, Carlos A.","contributorId":76610,"corporation":false,"usgs":true,"family":"Jaramillo","given":"Carlos A.","affiliations":[],"preferred":false,"id":469968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortini, Lucas B.","contributorId":10693,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas B.","affiliations":[],"preferred":false,"id":469964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manchester, Steven R.","contributorId":24657,"corporation":false,"usgs":true,"family":"Manchester","given":"Steven R.","affiliations":[],"preferred":false,"id":469966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041629,"text":"70041629 - 2012 - Female Agassiz’s desert tortoise activity at a wind energy facility in southern California: The influence of an El Niño event","interactions":[],"lastModifiedDate":"2012-12-08T22:23:31","indexId":"70041629","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2835,"text":"Natural Science","active":true,"publicationSubtype":{"id":10}},"title":"Female Agassiz’s desert tortoise activity at a wind energy facility in southern California: The influence of an El Niño event","docAbstract":"We compared spring-summer activity of adult female Agassiz’s Desert Tortoises (Gopherus agassizii) among three consecutive years (1997, 1998, and 1999) that differed dramatically in winter rainfall and annual plant production at a wind energy facility in the Sonoran Desert of southern California. Winter rainfall was approximately 71%, 190%, and 17% of the long-term average (October-March = 114 mm) for this area in water years (WY) 1997, 1998, and 1999, respectively. The substantial precipitation caused by an El Niño Southern Oscillation (ENSO) event in WY 1998 produced a generous annual food plant supply (138.2 g dry biomass/ m2) in the spring. Primary production of winter annuals during below average rainfall years (WY 1997 and WY 1999) was reduced to 98.3 and 0.2 g/m2, respectively. Mean rates of movement and mean body condition indices (mass/length) did not differ significantly among the years. The drought year following ENSO (WY 1999) was statistically similar to ENSO in every other measured value, while WY 1997 (end of a two year drought) was statistically different from ENSO using activity area, minimum number of burrows used, and percentage of non-movements. Our data suggest that female G. agassizii activity can be influenced by environmental conditions in previous years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SCIRP","publisherLocation":"Irvine, CA","doi":"10.4236/ns.2012.41006","usgsCitation":"Ennen, J., Meyer-Wilkins, K., and Lovich, J., 2012, Female Agassiz’s desert tortoise activity at a wind energy facility in southern California: The influence of an El Niño event: Natural Science, v. 4, no. 1, p. 30-37, https://doi.org/10.4236/ns.2012.41006.","productDescription":"8 p.","startPage":"30","endPage":"37","ipdsId":"IP-029293","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ns.2012.41006","text":"Publisher Index Page"},{"id":263882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263881,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/ns.2012.41006"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46183e4b0e44331d07164","contributors":{"authors":[{"text":"Ennen, Josh R.","contributorId":9930,"corporation":false,"usgs":true,"family":"Ennen","given":"Josh R.","affiliations":[],"preferred":false,"id":470019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":470018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey","contributorId":102761,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","affiliations":[],"preferred":false,"id":470020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041622,"text":"ofr20121242 - 2012 - Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","interactions":[],"lastModifiedDate":"2012-12-08T15:28:14","indexId":"ofr20121242","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","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":"2012-1242","title":"Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","docAbstract":"A study of the geomorphology of rivers draining Mount Rainier, Washington, was completed to identify sources of sediment to the river network; to identify important processes in the sediment delivery system; to assess current sediment loads in rivers draining Mount Rainier; to evaluate if there were trends in streamflow or sediment load since the early 20th century; and to assess how rates of sedimentation might continue into the future using published climate-change scenarios.\n\nRivers draining Mount Rainier carry heavy sediment loads sourced primarily from the volcano that cause acute aggradation in deposition reaches as far away as the Puget Lowland. Calculated yields ranged from 2,000 tonnes per square kilometer per year [(tonnes/km2)/yr] on the upper Nisqually River to 350 (tonnes/km2)/yr on the lower Puyallup River, notably larger than sediment yields of 50–200 (tonnes/km2)/yr typical for other Cascade Range rivers. These rivers can be assumed to be in a general state of sediment surplus. As a result, future aggradation rates will be largely influenced by the underlying hydrology carrying sediment downstream. The active-channel width of rivers directly draining Mount Rainier in 2009, used as a proxy for sediment released from Mount Rainier, changed little between 1965 and 1994 reflecting a climatic period that was relatively quiet hydrogeomorphically. From 1994 to 2009, a marked increase in geomorphic disturbance caused the active channels in many river reaches to widen. Comparing active-channel widths of glacier-draining rivers in 2009 to the distance of glacier retreat between 1913 and 1994 showed no correlation, suggesting that geomorphic disturbance in river reaches directly downstream of glaciers is not strongly governed by the degree of glacial retreat. In contrast, there was a correlation between active-channel width and the percentage of superglacier debris mantling the glacier, as measured in 1971. A conceptual model of sediment delivery processes from the mountain indicates that rockfalls, glaciers, debris flows, and main-stem flooding act sequentially to deliver sediment from Mount Rainier to river reaches in the Puget Lowland over decadal time scales. Greater-than-normal runoff was associated with cool phases of the Pacific Decadal Oscillation. Streamflow-gaging station data from four unregulated rivers directly draining Mount Rainier indicated no statistically significant trends of increasing peak flows over the course of the 20th century.\n\nThe total sediment load of the upper Nisqually River from 1945 to 2011 was determined to be 1,200,000±180,000 tonnes/yr. The suspended-sediment load in the lower Puyallup River at Puyallup, Washington, was 860,000±300,000 tonnes/yr between 1978 and 1994, but the long-term load for the Puyallup River likely is about 1,000,000±400,000 tonnes/yr. Using a coarse-resolution bedload transport relation, the long-term average bedload was estimated to be about 30,000 tonnes/yr in the lower White River near Auburn, Washington, which was four times greater than bedload in the Puyallup River and an order of magnitude greater than bedload in the Carbon River. Analyses indicate a general increase in the sediment loads in Mount Rainier rivers in the 1990s and 2000s relative to the time period from the 1960s to 1980s. Data are insufficient, however, to determine definitively if post-1990 increases in sediment production and transport from Mount Rainier represent a statistically significant increase relative to sediment-load values typical from Mount Rainier during the entire 20th century.\n\nOne-dimensional river-hydraulic and sediment-transport models simulated the entrainment, transport, attrition, and deposition of bed material. Simulations showed that bed-material loads were largest for the Nisqually River and smallest for the Carbon River. The models were used to simulate how increases in sediment supply to rivers transport through the river systems and affect lowland reaches. For each simulation, the input sediment pulse evolved through a combination of translation, dispersion, and attrition as it moved downstream. The characteristic transport times for the median sediment-size pulse to arrive downstream for the Nisqually, Carbon, Puyallup, and White Rivers were approximately 70, 300, 80, and 60 years, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121242","collaboration":"Prepared in cooperation with Pierce County Public Works and Utilities, Surface Water Management; and King County Department of Natural Resources and Parks, Water and Land Resources Division","usgsCitation":"Czuba, J., Magirl, C.S., Czuba, C.R., Curran, C.A., Johnson, K.H., Olsen, T.D., Kimball, H.K., and Gish, C.C., 2012, Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington: U.S. Geological Survey Open-File Report 2012-1242, xii, 134 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121242.","productDescription":"xii, 134 p.; col. ill.; maps (col.)","startPage":"i","endPage":"134","numberOfPages":"150","additionalOnlineFiles":"N","ipdsId":"IP-040356","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":263870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1242.jpg"},{"id":263868,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1242/"},{"id":263869,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1242/pdf/ofr20121242.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.54 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.79,45.54 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46187e4b0e44331d07168","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kimball, Halley K.","contributorId":36431,"corporation":false,"usgs":true,"family":"Kimball","given":"Halley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gish, Casey C.","contributorId":55245,"corporation":false,"usgs":true,"family":"Gish","given":"Casey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469997,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70041456,"text":"70041456 - 2012 - Determination and uncertainty of moment tensors for microearthquakes at Okmok Volcano, Alaska","interactions":[],"lastModifiedDate":"2019-05-30T13:16:29","indexId":"70041456","displayToPublicDate":"2012-12-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Determination and uncertainty of moment tensors for microearthquakes at Okmok Volcano, Alaska","docAbstract":"Efforts to determine general moment tensors (MTs) for microearthquakes in volcanic areas are often hampered by small seismic networks, which can lead to poorly constrained hypocentres and inadequate modelling of seismic velocity heterogeneity. In addition, noisy seismic signals can make it difficult to identify phase arrivals correctly for small magnitude events. However, small volcanic earthquakes can have source mechanisms that deviate from brittle double-couple shear failure due to magmatic and/or hydrothermal processes. Thus, determining reliable MTs in such conditions is a challenging but potentially rewarding pursuit. We pursued such a goal at Okmok Volcano, Alaska, which erupted recently in 1997 and in 2008. The Alaska Volcano Observatory operates a seismic network of 12 stations at Okmok and routinely catalogues recorded seismicity. Using these data, we have determined general MTs for seven microearthquakes recorded between 2004 and 2007 by inverting peak amplitude measurements of P and S phases. We computed Green's functions using precisely relocated hypocentres and a 3-D velocity model. We thoroughly assessed the quality of the solutions by computing formal uncertainty estimates, conducting a variety of synthetic and sensitivity tests, and by comparing the MTs to solutions obtained using alternative methods. The results show that MTs are sensitive to station distribution and errors in the data, velocity model and hypocentral parameters. Although each of the seven MTs contains a significant non-shear component, we judge several of the solutions to be unreliable. However, several reliable MTs are obtained for a group of previously identified repeating events, and are interpreted as compensated linear-vector dipole events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-246X.2012.05574.x","usgsCitation":"Pesicek, J., Sileny, J., Prejean, S., and Thurber, C., 2012, Determination and uncertainty of moment tensors for microearthquakes at Okmok Volcano, Alaska: Geophysical Journal International, v. 190, no. 3, p. 1689-1709, https://doi.org/10.1111/j.1365-246X.2012.05574.x.","productDescription":"21 p.","startPage":"1689","endPage":"1709","ipdsId":"IP-038948","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2012.05574.x","text":"Publisher Index Page"},{"id":263801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263800,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2012.05574.x"}],"country":"United States","state":"Alaska","otherGeospatial":"Mt. Okmok","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.185415,53.457548 ], [ -168.185415,53.477552 ], [ -168.1654,53.477552 ], [ -168.1654,53.457548 ], [ -168.185415,53.457548 ] ] ] } } ] }","volume":"190","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-08-08","publicationStatus":"PW","scienceBaseUri":"50c3100ee4b0b57f2415d182","contributors":{"authors":[{"text":"Pesicek, J. D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":72604,"corporation":false,"usgs":true,"family":"Pesicek","given":"J. D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sileny, J.","contributorId":14208,"corporation":false,"usgs":true,"family":"Sileny","given":"J.","email":"","affiliations":[],"preferred":false,"id":469759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prejean, S. G. 0000-0003-0510-1989","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":18935,"corporation":false,"usgs":true,"family":"Prejean","given":"S. G.","affiliations":[],"preferred":false,"id":469760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, C.H.","contributorId":28617,"corporation":false,"usgs":true,"family":"Thurber","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":469761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041519,"text":"sir20125227 - 2012 - Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois","interactions":[],"lastModifiedDate":"2012-12-07T11:39:03","indexId":"sir20125227","displayToPublicDate":"2012-12-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5227","title":"Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois","docAbstract":"Digital flood-inundation maps for a 9-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the Lake County Stormwater Management Commission and the Villages of Lincolnshire and Riverwoods. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights) at the USGS streamgage at Des Plaines River at Lincolnshire, Illinois (station no. 05528100). Current conditions at the USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?05528100. In addition, this streamgage is incorporated into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/) by the National Weather Service (NWS). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. The NWS forecasted peak-stage information, also shown on the Des Plaines River at Lincolnshire inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was then used to determine seven water-surface profiles for flood stages at roughly 1-ft intervals referenced to the streamgage datum and ranging from the 50- to 0.2-percent annual exceedance probability flows. The simulated water-surface profiles were then combined with a Geographic Information System (GIS) Digital Elevation Model (DEM) (derived from Light Detection And Ranging (LiDAR) data) in order to delineate the area flooded at each water level. These maps, along with information on the Internet regarding current gage height from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125227","collaboration":"Prepared in cooperation with the Lake County Stormwater Management Commission and the Villages of Lincolnshire and Riverwoods","usgsCitation":"Murphy, E., Soong, D., and Sharpe, J.B., 2012, Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois: U.S. Geological Survey Scientific Investigations Report 2012-5227, Report: iv, 17 p.; Downloads Directory; 7 Sheets: 11.1 x 17 inches or smaller, https://doi.org/10.3133/sir20125227.","productDescription":"Report: iv, 17 p.; Downloads Directory; 7 Sheets: 11.1 x 17 inches or smaller","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":263812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5227.gif"},{"id":263804,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5227/Downloads"},{"id":263802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5227/"},{"id":263803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5227/pdf/SIR20125227_DesPlainesRiver_floodinundation.pdf"},{"id":263805,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_1.pdf"},{"id":263806,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_2.pdf"},{"id":263807,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_3.pdf"},{"id":263808,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_4.pdf"},{"id":263809,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_5.pdf"},{"id":263810,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_6.pdf"},{"id":263811,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_7.pdf"}],"country":"United States","state":"Illinois","city":"Lincolnshire;Mettawa;Riverwoods","otherGeospatial":"Des Plaines River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.95,42.15 ], [ -87.95,42.25 ], [ -87.9,42.25 ], [ -87.9,42.15 ], [ -87.95,42.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31024e4b0b57f2415d192","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":469896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":469897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469895,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041465,"text":"70041465 - 2012 - Ash3d: A finite-volume, conservative numerical model for ash transport and tephra deposition","interactions":[],"lastModifiedDate":"2019-05-30T13:41:17","indexId":"70041465","displayToPublicDate":"2012-12-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Ash3d: A finite-volume, conservative numerical model for ash transport and tephra deposition","docAbstract":"We develop a transient, 3-D Eulerian model (Ash3d) to predict airborne volcanic ash concentration and tephra deposition during volcanic eruptions. This model simulates downwind advection, turbulent diffusion, and settling of ash injected into the atmosphere by a volcanic eruption column. Ash advection is calculated using time-varying pre-existing wind data and a robust, high-order, finite-volume method. Our routine is mass-conservative and uses the coordinate system of the wind data, either a Cartesian system local to the volcano or a global spherical system for the Earth. Volcanic ash is specified with an arbitrary number of grain sizes, which affects the fall velocity, distribution and duration of transport. Above the source volcano, the vertical mass distribution with elevation is calculated using a Suzuki distribution for a given plume height, eruptive volume, and eruption duration. Multiple eruptions separated in time may be included in a single simulation. We test the model using analytical solutions for transport. Comparisons of the predicted and observed ash distributions for the 18 August 1992 eruption of Mt. Spurr in Alaska demonstrate to the efficacy and efficiency of the routine.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JB008968","usgsCitation":"Schwaiger, H.F., Denlinger, R.P., and Mastin, L.G., 2012, Ash3d: A finite-volume, conservative numerical model for ash transport and tephra deposition: Journal of Geophysical Research, v. 117, 20 p.; B04204, https://doi.org/10.1029/2011JB008968.","productDescription":"20 p.; B04204","ipdsId":"IP-035746","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499568,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P144K2NA","text":"USGS data release","linkHelpText":"Ash3d (Version 1.1.0)"},{"id":474215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jb008968","text":"Publisher Index Page"},{"id":263788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263787,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008968"}],"volume":"117","noUsgsAuthors":false,"publicationDate":"2012-04-17","publicationStatus":"PW","scienceBaseUri":"50c30ff8e4b0b57f2415d172","contributors":{"authors":[{"text":"Schwaiger, Hans F. 0000-0001-7397-8833 hschwaiger@usgs.gov","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":4108,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","email":"hschwaiger@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":469779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041424,"text":"70041424 - 2012 - Extension of the spatial autocorrelation (SPAC) method to mixed-component correlations of surface waves","interactions":[],"lastModifiedDate":"2019-05-30T12:24:34","indexId":"70041424","displayToPublicDate":"2012-12-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Extension of the spatial autocorrelation (SPAC) method to mixed-component correlations of surface waves","docAbstract":"Using ambient seismic noise for imaging subsurface structure dates back to the development of the spatial autocorrelation (SPAC) method in the 1950s. We present a theoretical analysis of the SPAC method for multicomponent recordings of surface waves to determine the complete 3 × 3 matrix of correlations between all pairs of three-component motions, called the correlation matrix. In the case of isotropic incidence, when either Rayleigh or Love waves arrive from all directions with equal power, the only non-zero off-diagonal terms in the matrix are the vertical–radial (ZR) and radial–vertical (RZ) correlations in the presence of Rayleigh waves. Such combinations were not considered in the development of the SPAC method. The method originally addressed the vertical–vertical (ZZ), RR and TT correlations, hence the name spatial autocorrelation. The theoretical expressions we derive for the ZR and RZ correlations offer additional ways to measure Rayleigh wave dispersion within the SPAC framework. Expanding on the results for isotropic incidence, we derive the complete correlation matrix in the case of generally anisotropic incidence. We show that the ZR and RZ correlations have advantageous properties in the presence of an out-of-plane directional wavefield compared to ZZ and RR correlations. We apply the results for mixed-component correlations to a data set from Akutan Volcano, Alaska and find consistent estimates of Rayleigh wave phase velocity from ZR compared to ZZ correlations. This work together with the recently discovered connections between the SPAC method and time-domain correlations of ambient noise provide further insights into the retrieval of surface wave Green’s functions from seismic noise.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-246X.2012.05597.x","usgsCitation":"Haney, M., Mikesell, T.D., van Wijk, K., and Nakahara, H., 2012, Extension of the spatial autocorrelation (SPAC) method to mixed-component correlations of surface waves: Geophysical Journal International, v. 191, no. 1, p. 189-206, https://doi.org/10.1111/j.1365-246X.2012.05597.x.","productDescription":"18 p.","startPage":"189","endPage":"206","ipdsId":"IP-039172","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2012.05597.x","text":"Publisher Index Page"},{"id":263822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263821,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2012.05597.x"}],"volume":"191","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-24","publicationStatus":"PW","scienceBaseUri":"50c3101fe4b0b57f2415d18e","contributors":{"authors":[{"text":"Haney, Matthew M.","contributorId":107584,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew M.","affiliations":[],"preferred":false,"id":469710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikesell, T. 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A key issue in climate envelope modeling is the selection of predictor variables that most directly influence species. To determine whether model performance and spatial predictions were related to the selection of predictor variables, we compared models using bioclimate variables with models constructed from monthly climate data for twelve terrestrial vertebrate species in the southeastern USA using two different algorithms (random forests or generalized linear models), and two model selection techniques (using uncorrelated predictors or a subset of user-defined biologically relevant predictor variables). There were no differences in performance between models created with bioclimate or monthly variables, but one metric of model performance was significantly greater using the random forest algorithm compared with generalized linear models. Spatial predictions between maps using bioclimate and monthly variables were very consistent using the random forest algorithm with uncorrelated predictors, whereas we observed greater variability in predictions using generalized linear models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolmodel.2012.07.018","usgsCitation":"Watling, J., Romañach, S., Bucklin, D.N., Speroterra, C., Brandt, L., Pearlstine, L.G., and Mazzotti, F., 2012, Do bioclimate variables improve performance of climate envelope models?: Ecological Modelling, v. 246, p. 79-85, https://doi.org/10.1016/j.ecolmodel.2012.07.018.","productDescription":"7 p.","startPage":"79","endPage":"85","ipdsId":"IP-030138","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":263854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263853,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.07.018"}],"volume":"246","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31016e4b0b57f2415d186","contributors":{"authors":[{"text":"Watling, James I.","contributorId":101963,"corporation":false,"usgs":true,"family":"Watling","given":"James I.","affiliations":[],"preferred":false,"id":469914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S.","contributorId":76064,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","affiliations":[],"preferred":false,"id":469912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bucklin, David N.","contributorId":44812,"corporation":false,"usgs":true,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":469910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Speroterra, Carolina","contributorId":54089,"corporation":false,"usgs":true,"family":"Speroterra","given":"Carolina","affiliations":[],"preferred":false,"id":469911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":469908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":469909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":469913,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70041468,"text":"ofr20121147 - 2012 - Streamflow statistics for selected streams in North Dakota, Minnesota, Manitoba, and Saskatchewan","interactions":[],"lastModifiedDate":"2017-10-14T11:24:33","indexId":"ofr20121147","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","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":"2012-1147","title":"Streamflow statistics for selected streams in North Dakota, Minnesota, Manitoba, and Saskatchewan","docAbstract":"Statistical summaries of streamflow data for the periods of record through water year 2009 for selected active and discontinued U.S. Geological Survey streamflow-gaging stations in North Dakota, Minnesota, Manitoba, and Saskatchewan were compiled. The summaries for each streamflow-gaging station include a brief station description, a graph of the annual peak and annual mean discharge for the period of record, statistics of monthly and annual mean discharges, monthly and annual flow durations, probability of occurrence of annual high discharges, annual peak discharge and corresponding gage height for the period of record, and monthly and annual mean discharges for the period of record.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121147","collaboration":"In cooperation with the North Dakota State Water Commission, North Dakota Department of Health, North Dakota Department of Transportation, and Red River Joint Water Resource Board","usgsCitation":"Williams-Sether, T., 2012, Streamflow statistics for selected streams in North Dakota, Minnesota, Manitoba, and Saskatchewan: U.S. Geological Survey Open-File Report 2012-1147, iv, 11 p., https://doi.org/10.3133/ofr20121147.","productDescription":"iv, 11 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-029695","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":263731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1147.gif"},{"id":263729,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1147/"},{"id":263730,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1147/ofr2012-1147.pdf"}],"country":"Canada;United States","state":"Manitoba;Minnesota;North Dakota;Saskatchewan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0,45.916667 ], [ -104.0,49.0 ], [ -97.0,49.0 ], [ -97.0,45.916667 ], [ -104.0,45.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c11ac0e4b005831885e282","contributors":{"authors":[{"text":"Williams-Sether, Tara","contributorId":57846,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[],"preferred":false,"id":469790,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041511,"text":"fs20123133 - 2012 - Wetland fire remote sensing research--The Greater Everglades example","interactions":[],"lastModifiedDate":"2012-12-06T21:52:54","indexId":"fs20123133","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","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":"2012-3133","title":"Wetland fire remote sensing research--The Greater Everglades example","docAbstract":"Fire is a major factor in the Everglades ecosystem. For thousands of years, lightning-strike fires from summer thunderstorms have helped create and maintain a dynamic landscape suited both to withstand fire and recover quickly in the wake of frequent fires. Today, managers in the Everglades National Park are implementing controlled burns to promote healthy, sustainable vegetation patterns and ecosystem functions. The U.S. Geological Survey (USGS) is using remote sensing to improve fire-management databases in the Everglades, gain insights into post-fire land-cover dynamics, and develop spatially and temporally explicit fire-scar data for habitat and hydrologic modeling.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123133","usgsCitation":"Jones, J., 2012, Wetland fire remote sensing research--The Greater Everglades example: U.S. Geological Survey Fact Sheet 2012-3133, 2 p.; maps (col.), https://doi.org/10.3133/fs20123133.","productDescription":"2 p.; maps (col.)","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3133.gif"},{"id":263767,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3133/"},{"id":263768,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3133/pdf/fs2012-3133.pdf"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ -80.3887,25.8899 ], [ -80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1bea4e4b09fd40bb0eb3e","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469886,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041488,"text":"70041488 - 2012 - Variability in expression of anadromy by female Oncorhynchus mykiss within a river network","interactions":[],"lastModifiedDate":"2012-12-07T10:46:40","indexId":"70041488","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Variability in expression of anadromy by female Oncorhynchus mykiss within a river network","docAbstract":"We described and predicted spatial variation in marine migration (anadromy) of female Oncorhynchus mykiss in the John Day River watershed, Oregon. We collected 149 juvenile O. mykiss across 72 sites and identified locations used by anadromous females by assigning maternal origin (anadromous versus non-anadromous) to each juvenile. These assignments used comparisons of strontium to calcium ratios in otolith primordia and freshwater growth regions to indicate maternal origin. We used logistic regression to predict probability of anadromy in relation to mean annual stream runoff using data from a subset of individuals. This model correctly predicted anadromy in a second sample of individuals with a moderate level of accuracy (e.g., 68% correctly predicted with a 0.5 classification threshold). Residuals from the models were not spatially autocorrelated, suggesting that remaining variability in the expression of anadromy was due to localized influences, as opposed to broad-scale gradients unrelated to mean annual stream runoff. These results are important for the management of O. mykiss because anadromous individuals (steelhead) within the John Day River watershed are listed as a threatened species, and it is difficult to discern juvenile steelhead from non-anadromous individuals (rainbow trout) in the field. Our results provide a broad-scale description and prediction of locations supporting anadromy, and new insight for habitat restoration, monitoring, and research to better manage and understand the expression of anadromy in O. mykiss.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Reston, VA","doi":"10.1007/s10641-011-9946-4","usgsCitation":"Mills, J.S., Dunham, J., Reeves, G.H., McMillan, J.R., Zimmerman, C.E., and Jordan, C.E., 2012, Variability in expression of anadromy by female Oncorhynchus mykiss within a river network: Environmental Biology of Fishes, v. 93, no. 4, p. 505-517, https://doi.org/10.1007/s10641-011-9946-4.","productDescription":"13 p.","startPage":"505","endPage":"517","ipdsId":"IP-034081","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263782,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-011-9946-4"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.74582,44.249292 ], [ -118.74582,44.459598 ], [ -118.525734,44.459598 ], [ -118.525734,44.249292 ], [ -118.74582,44.249292 ] ] ] } } ] }","volume":"93","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-24","publicationStatus":"PW","scienceBaseUri":"50c31e9ee4b0b57f2415d22b","contributors":{"authors":[{"text":"Mills, Justin S.","contributorId":56944,"corporation":false,"usgs":true,"family":"Mills","given":"Justin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":469831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":469833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMillan, John R.","contributorId":27905,"corporation":false,"usgs":true,"family":"McMillan","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041481,"text":"70041481 - 2012 - Revolutionary land use change in the 21st century: Is (rangeland) science relevant?","interactions":[],"lastModifiedDate":"2012-12-06T22:39:45","indexId":"70041481","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Revolutionary land use change in the 21st century: Is (rangeland) science relevant?","docAbstract":"Rapidly increasing demand for food, fiber, and fuel together with new technologies and the mobility of global capital are driving revolutionary changes in land use throughout the world. Efforts to increase land productivity include conversion of millions of hectares of rangelands to crop production, including many marginal lands with low resistance and resilience to degradation. Sustaining the productivity of these lands requires careful land use planning and innovative management systems. Historically, this responsibility has been left to agronomists and others with expertise in crop production. In this article, we argue that the revolutionary land use changes necessary to support national and global food security potentially make rangeland science more relevant now than ever. Maintaining and increasing relevance will require a revolutionary change in range science from a discipline that focuses on a particular land use or land cover to one that addresses the challenge of managing all lands that, at one time, were considered to be marginal for crop production. We propose four strategies to increase the relevance of rangeland science to global land management: 1) expand our awareness and understanding of local to global economic, social, and technological trends in order to anticipate and identify drivers and patterns of conversion; 2) emphasize empirical studies and modeling that anticipate the biophysical (ecosystem services) and societal consequences of large-scale changes in land cover and use; 3) significantly increase communication and collaboration with the disciplines and sectors of society currently responsible for managing the new land uses; and 4) develop and adopt a dynamic and flexible resilience-based land classification system and data-supported conceptual models (e.g., state-and-transition models) that represent all lands, regardless of use and the consequences of land conversion to various uses instead of changes in state or condition that are focused on a single land use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","publisherLocation":"Wheat Ridge, CO","doi":"10.2111/REM-D-11-00186.1","usgsCitation":"Herrick, J.E., Brown, J., Bestelmeyer, B., Andrews, S., Baldi, G., Davies, J., Duniway, M., Havstad, K., Karl, J., Karlen, D., Peters, D., Quinton, J., Riginos, C., Shaver, P., Steinaker, D., and Twomlow, S., 2012, Revolutionary land use change in the 21st century: Is (rangeland) science relevant?: Rangeland Ecology and Management, v. 65, no. 6, p. 590-598, https://doi.org/10.2111/REM-D-11-00186.1.","productDescription":"9 p.","startPage":"590","endPage":"598","numberOfPages":"9","ipdsId":"IP-032539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474220,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2111/rem-d-11-00186.1","text":"External Repository"},{"id":263774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263732,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-11-00186.1"}],"volume":"65","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1be93e4b09fd40bb0eb2f","contributors":{"authors":[{"text":"Herrick, J. 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M.","contributorId":60587,"corporation":false,"usgs":true,"family":"Havstad","given":"K. M.","affiliations":[],"preferred":false,"id":469809,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karl, J.W.","contributorId":63978,"corporation":false,"usgs":true,"family":"Karl","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":469810,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karlen, D.L.","contributorId":12297,"corporation":false,"usgs":true,"family":"Karlen","given":"D.L.","affiliations":[],"preferred":false,"id":469800,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peters, Debra P. C.","contributorId":36903,"corporation":false,"usgs":false,"family":"Peters","given":"Debra P. C.","affiliations":[{"id":25579,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":469802,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Quinton, J.N.","contributorId":82595,"corporation":false,"usgs":true,"family":"Quinton","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":469812,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Riginos, C.","contributorId":54437,"corporation":false,"usgs":true,"family":"Riginos","given":"C.","email":"","affiliations":[],"preferred":false,"id":469806,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shaver, P.L.","contributorId":8705,"corporation":false,"usgs":true,"family":"Shaver","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":469799,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Steinaker, D.","contributorId":57339,"corporation":false,"usgs":true,"family":"Steinaker","given":"D.","email":"","affiliations":[],"preferred":false,"id":469808,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Twomlow, S.","contributorId":22650,"corporation":false,"usgs":true,"family":"Twomlow","given":"S.","email":"","affiliations":[],"preferred":false,"id":469801,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70041501,"text":"fs20123134 - 2012 - Net Ecosystem Production (NEP) of the Great Plains, United States","interactions":[],"lastModifiedDate":"2012-12-06T21:28:27","indexId":"fs20123134","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","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":"2012-3134","title":"Net Ecosystem Production (NEP) of the Great Plains, United States","docAbstract":"Gross primary production (GPP) and ecosystem respiration (Re) are the fundamental environmental characteristics that promote carbon exchanges with the atmosphere (Chapin and others, 2009), although other exchanges of carbon, such as direct oxidation (Lovett and others, 2006), can modify net ecosystem production (NEP). The accumulation of carbon in terrestrial ecosystems results in systems in which soil organic matter (SOM) carbon often exceeds biomass carbon (Post and Kwon, 2000). This SOM pool exists at a steady state between GPP and Re in ecosystems unless drivers change or the ecosystem endures environmental perturbations (for example, climatic). As indicated by Wilhelm and others (2011), conversion of grasslands to agriculture and cultivation can result in reduced soil carbon, with the release of carbon dioxide (CO2) to the atmosphere by stimulated oxidation and higher Re; therefore, land-use and land management practices have clear effects on NEP, with potential repercussions on ecosystems. The recent demand for biofuels has changed land-use and cropping patterns, especially in Midwestern United States (Wilhelm and others, 2011). It is important to ensure the sustainability of these and other land uses and to assess the effects on NEP.\nFlux tower networks, such as AmeriFlux and FLUXNET, consist of a growing number of eddy covariance flux tower sites that provide a synoptic record of the exchange of carbon, water, and energy between the ecosystem and atmosphere at various temporal frequencies. These towers also detect and measure certain site characteristics, such as wind, temperature, precipitation, humidity, atmospheric pressure, soil features, and phenological progressions. Efforts are continuous to combine flux tower network data with remote sensing data to upscale the conditions observed at specific sites to a regional and, ultimately, worldwide scale. Data-driven regression tree models have the ability to incorporate flux tower records and remote sensing data to quantify exchanges of carbon with the atmosphere (Wylie and others, 2007; Xiao and others, 2010; Zhang and others, 2010; Zhang and others, 2011). Previous study results demonstrated the dramatic effect weather has on NEP and revealed specific ecoregions and times acting as carbon sinks or sources. As of 2012, more than 100 site-years of flux tower measurements, represented by more than 50 individual cropland or grassland sites throughout the Great Plains and surrounding area, have been acquired, quality controlled, and partitioned into gross photosynthesis (Pg) and ecosystem Re using detailed light-response, soil temperature, and vapor pressure deficit (VPD) based analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123134","usgsCitation":"Howard, D., Gilmanov, T., Gu, Y., Wylie, B., and Zhang, L., 2012, Net Ecosystem Production (NEP) of the Great Plains, United States: U.S. Geological Survey Fact Sheet 2012-3134, 6 p.; maps (col.), https://doi.org/10.3133/fs20123134.","productDescription":"6 p.; maps (col.)","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040006","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":263765,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3134/fs12-3134.pdf"},{"id":263764,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3134/"},{"id":263766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3134.gif"}],"country":"United States;Canada","otherGeospatial":"Great Plains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.2,28.2 ], [ -114.2,54.1 ], [ -95.6,54.1 ], [ -95.6,28.2 ], [ -114.2,28.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1be81e4b09fd40bb0eb1f","contributors":{"authors":[{"text":"Howard, Daniel 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":56946,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":469862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":469861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":469860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":469864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":469863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041507,"text":"sir20125205 - 2012 - Relations among water levels, specific conductance, and depths of bedrock fractures in four road-salt-contaminated wells in Maine, 2007–9","interactions":[],"lastModifiedDate":"2017-06-10T11:19:08","indexId":"sir20125205","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5205","title":"Relations among water levels, specific conductance, and depths of bedrock fractures in four road-salt-contaminated wells in Maine, 2007–9","docAbstract":"Data on groundwater-level, specific conductance (a surrogate for chloride), and temperature were collected continuously from 2007 through 2009 at four bedrock wells known to be affected by road salts in an effort to determine the effects of road salting and fractures in bedrock that intersect the well at a depth below the casing on the presence of chloride in groundwater. Dissolved-oxygen data collected periodically also were used to make inferences about the interaction of fractures and groundwater flow. Borehole geophysical tools were used to determine the depths of fractures in each well that were actively contributing flow to the well, under both static and pumped conditions; sample- and measurement-depths were selected to correspond to the depths of these active fractures. Samples of water from the wells, collected at depths corresponding to active bedrock fractures, were analyzed for chloride concentration and specific conductance; from these analyses, a linear relation between chloride concentration and specific conductance was established, and continuous and periodic measurements of specific conductance were assumed to represent chloride concentration of the well water at the depth of measurement. To varying degrees, specific conductance increased in at least two of the wells during winter and spring thaws; the shallowest well, which also was closest to the road receiving salt treatment during the winter, exhibited the largest changes in specific conductance during thaws. Recharge events during summer months, long after application of road salt had ceased for the year, also produced increases in specific conductance in some of the wells, indicating that chloride which had accumulated or sequestered in the overburden was transported to the wells throughout the year. Geophysical data and periodic profiles of water quality along the length of each well’s borehole indicated that the greatest changes in water quality were associated with active fractures; in one case, high concentration of dissolved oxygen at the bottom of the well indicated the presence of a highly transmissive fracture that was in good connection with a surficial feature (stream or atmosphere). Data indicated that fractures have a substantial influence on the transport of chlorides to the subsurface; that elevated specific conductance occurred throughout the year, not just when road salts were applied; and that chloride contamination, as indicated by elevated specific conductance, may persist for years.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125205","collaboration":"Prepared in cooperation with Maine Department of Transportation","usgsCitation":"Schalk, C.W., and Stasulis, N.W., 2012, Relations among water levels, specific conductance, and depths of bedrock fractures in four road-salt-contaminated wells in Maine, 2007–9: U.S. Geological Survey Scientific Investigations Report 2012-5205, viii, 47 p., https://doi.org/10.3133/sir20125205.","productDescription":"viii, 47 p.","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5205.gif"},{"id":263736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5205/"},{"id":263737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5205/pdf/sir2012-5205_508.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 19 North","country":"United States","state":"Maine","county":"Cumberland;Hancock;Kennebec","city":"Gray;Sullivan;West Gardiner","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.75,43.5 ], [ -70.75,44.75 ], [ -68.0,44.75 ], [ -68.0,43.5 ], [ -70.75,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1be8ae4b09fd40bb0eb27","contributors":{"authors":[{"text":"Schalk, Charles W. cwschalk@usgs.gov","contributorId":1726,"corporation":false,"usgs":true,"family":"Schalk","given":"Charles","email":"cwschalk@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stasulis, Nicholas W. 0000-0001-7645-4867 nstasuli@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-4867","contributorId":4520,"corporation":false,"usgs":true,"family":"Stasulis","given":"Nicholas","email":"nstasuli@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469873,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041518,"text":"sir20125071 - 2012 - Phase II modification of the Water Availability Tool for Environmental Resources (WATER) for Kentucky: The sinkhole-drainage process, point-and-click basin delineation, and results of karst test-basin simulations","interactions":[],"lastModifiedDate":"2020-10-03T16:09:12.003689","indexId":"sir20125071","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5071","title":"Phase II modification of the Water Availability Tool for Environmental Resources (WATER) for Kentucky: The sinkhole-drainage process, point-and-click basin delineation, and results of karst test-basin simulations","docAbstract":"This report describes Phase II modifications made to the Water Availability Tool for Environmental Resources (WATER), which applies the process-based TOPMODEL approach to simulate or predict stream discharge in surface basins in the Commonwealth of Kentucky. The previous (Phase I) version of WATER did not provide a means of identifying sinkhole catchments or accounting for the effects of karst (internal) drainage in a TOPMODEL-simulated basin. In the Phase II version of WATER, sinkhole catchments are automatically identified and delineated as internally drained subbasins, and a modified TOPMODEL approach (called the sinkhole drainage process, or SDP-TOPMODEL) is applied that calculates mean daily discharges for the basin based on summed area-weighted contributions from sinkhole drain-age (SD) areas and non-karstic topographically drained (TD) areas. Results obtained using the SDP-TOPMODEL approach were evaluated for 12 karst test basins located in each of the major karst terrains in Kentucky. Visual comparison of simulated hydrographs and flow-duration curves, along with statistical measures applied to the simulated discharge data (bias, correlation, root mean square error, and Nash-Sutcliffe efficiency coefficients), indicate that the SDPOPMODEL approach provides acceptably accurate estimates of discharge for most flow conditions and typically provides more accurate simulation of stream discharge in karstic basins compared to the standard TOPMODEL approach. Additional programming modifications made to the Phase II version of WATER included implementation of a point-and-click graphical user interface (GUI), which fully automates the delineation of simulation-basin boundaries and improves the speed of input-data processing. The Phase II version of WATER enables the user to select a pour point anywhere on a stream reach of interest, and the program will automatically delineate all upstream areas that contribute drainage to that point. This capability enables automatic delineation of a simulation basin of any size (area) and having any level of stream-network complexity. WATER then automatically identifies the presence of sinkholes catchments within the simulation basin boundaries; extracts and compiles the necessary climatic, topographic, and basin characteristics datasets; and runs the SDP-TOPMODEL approach to estimate daily mean discharges (streamflow).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125071","collaboration":"Prepared in cooperation with the Kentucky Division of Water","usgsCitation":"Taylor, C.J., Williamson, T., Newson, J.K., Ulery, R.L., Nelson, H.L., and Cinotto, P.J., 2012, Phase II modification of the Water Availability Tool for Environmental Resources (WATER) for Kentucky: The sinkhole-drainage process, point-and-click basin delineation, and results of karst test-basin simulations: U.S. Geological Survey Scientific Investigations Report 2012-5071, vi, 45 p., https://doi.org/10.3133/sir20125071.","productDescription":"vi, 45 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Center","active":true,"usgs":true}],"preferred":true,"id":469889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041454,"text":"fs20123124 - 2012 - The Midwest Stream Quality Assessment","interactions":[],"lastModifiedDate":"2023-03-22T14:05:41.793654","indexId":"fs20123124","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","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":"2012-3124","title":"The Midwest Stream Quality Assessment","docAbstract":"In 2013, the U.S. Geological Survey (USGS) National Water-Quality Assessment Program (NAWQA) and USGS Columbia Environmental Research Center (CERC) will be collaborating with the U.S. Environmental Protection Agency (EPA) National Rivers and Streams Assessment (NRSA) to assess stream quality across the Midwestern United States. The sites selected for this study are a subset of the larger NRSA, implemented by the EPA, States and Tribes to sample flowing waters across the United States (http://water.epa.gov/type/rsl/monitoring/riverssurvey/index.cfm). The goals are to characterize water-quality stressors—contaminants, nutrients, and sediment—and ecological conditions in streams throughout the Midwest and to determine the relative effects of these stressors on aquatic organisms in the streams. Findings will contribute useful information for communities and policymakers by identifying which human and environmental factors are the most critical in controlling stream quality. This collaborative study enhances information provided to the public and policymakers and minimizes costs by leveraging and sharing data gathered under existing programs. In the spring and early summer, NAWQA will sample streams weekly for contaminants, nutrients, and sediment. During the same time period, CERC will test sediment and water samples for toxicity, deploy time-integrating samplers, and measure reproductive effects and biomarkers of contaminant exposure in fish or amphibians. NRSA will sample sites once during the summer to assess ecological and habitat conditions in the streams by collecting data on algal, macroinvertebrate, and fish communities and collecting detailed physical-habitat measurements. Study-team members from all three programs will work in collaboration with USGS Water Science Centers and State agencies on study design, execution of sampling and analysis, and reporting.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123124","collaboration":"A Collaboration Between the U.S. Geological Survey and the U.S. Environmental Protection Agency","usgsCitation":"Van Metre, P.C., Frey, J.W., and Tarquinio, E., 2012, The Midwest Stream Quality Assessment: U.S. Geological Survey Fact Sheet 2012-3124, 2 p., https://doi.org/10.3133/fs20123124.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":263722,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3124/"},{"id":263724,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3124.jpg"},{"id":263723,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3124/pdf/Midwest_Stream_Quality_Assess_%20fs.pdf"}],"country":"United States","otherGeospatial":"Midwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.19580078125,\n 37.020098201368114\n ],\n [\n -98.19580078125,\n 45.38301927899065\n ],\n [\n -82.55126953124999,\n 45.38301927899065\n ],\n [\n -82.55126953124999,\n 37.020098201368114\n ],\n [\n -98.19580078125,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c11acde4b005831885e289","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":867130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarquinio, Ellen","contributorId":303308,"corporation":false,"usgs":false,"family":"Tarquinio","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":867132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}