No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034140","usgsCitation":"Kuwabara, J.S., Alpers, C.N., Marvin-DiPasquale, M., Topping, B.R., Carter, J.L., Stewart, A., Fend, S.V., Parcheso, F., Moon, G.E., and Krabbenhoft, D.P., 2003, Sediment-water interactions affecting dissolved-mercury distributions in Camp Far West Reservoir, California: U.S. Geological Survey Water-Resources Investigations Report 2003-4140, 61 p., https://doi.org/10.3133/wri034140.","productDescription":"61 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":176854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4235,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034140/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California ","otherGeospatial":"Camp Far West Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,38.75 ], [ -121.75,39.5 ], [ -120.5,39.5 ], [ -120.5,38.75 ], [ -121.75,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbdff","contributors":{"authors":[{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":242210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":242205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":242213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":242206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":242209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":242214,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":242211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":242208,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moon, Gerald E.","contributorId":11288,"corporation":false,"usgs":true,"family":"Moon","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":242212,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":242207,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":50745,"text":"ofr03224 - 2003 - Near-field receiving water monitoring of a benthic community near the Palo Alto Water Quality Control Plant in South San Francisco Bay: February 1974 through December 2002","interactions":[],"lastModifiedDate":"2020-02-10T20:00:59","indexId":"ofr03224","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"2003-224","title":"Near-field receiving water monitoring of a benthic community near the Palo Alto Water Quality Control Plant in South San Francisco Bay: February 1974 through December 2002","docAbstract":"Analyses of the benthic community structure over a 28-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinal clam Macoma balthica from the same area. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that could be indicative of a more stable community that is subjected to less stress. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals. Heteromastus filiformis, a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying their eggs on or in the sediment has shown a concurrent increase in dominance. These changes in species dominance reflect a change in the community from one dominated by surface dwelling, brooding species to one with species with varying life history characteristics. Analysis of the reproductive activity of Macoma balthica shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissue of this organism. Reproductive activity is presently stable with almost all animals reproducing during the two reproductive seasons (spring and fall) of most years. These findings are consistent with findings previously reported for the 1974 through 2000 period.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03224","usgsCitation":"Shouse, M.K., Parcheso, F., and Thompson, J.K., 2003, Near-field receiving water monitoring of a benthic community near the Palo Alto Water Quality Control Plant in South San Francisco Bay: February 1974 through December 2002: U.S. Geological Survey Open-File Report 2003-224, 41 p., https://doi.org/10.3133/ofr03224.","productDescription":"41 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":175294,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4236,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03-224/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Palo Alto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.947998046875,\n 37.31775185163688\n ],\n [\n -121.904296875,\n 37.31775185163688\n ],\n [\n -121.904296875,\n 38.151837403006766\n ],\n [\n -122.947998046875,\n 38.151837403006766\n ],\n [\n -122.947998046875,\n 37.31775185163688\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c9c3","contributors":{"authors":[{"text":"Shouse, Michelle K. mkshouse@usgs.gov","contributorId":5407,"corporation":false,"usgs":true,"family":"Shouse","given":"Michelle","email":"mkshouse@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":242217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":242216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":242215,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":51554,"text":"ofr03145 - 2003 - Hydrologic landscape regions of the United States","interactions":[],"lastModifiedDate":"2013-06-17T13:02:36","indexId":"ofr03145","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"2003-145","title":"Hydrologic landscape regions of the United States","docAbstract":"Hydrologic landscape regions (HLRs) in the United States were delineated by using geographic information system (GIS) tools and statistical methods including principal components and cluster analyses. The GIS and statistical analyses were applied to land-surface form, geologic texture (permeability of the soil and bedrock), and climate variables that describe the physical and climatic setting of 43,931 small (roughly 200 square kilometers) watersheds in the United States. The analyses then grouped the watersheds into 20 noncontiguous regions (the HLRs) on the basis of similarities in land-surface form, geologic texture, and climate characteristics. This hydrologic landscape regions dataset contains for each of the 49,931 watersheds the (1) watershed identification number, (2) land-surface form, geologic texture, and climate characteristics for each watershed, and (3) hydrologic landscape region number for each watershed.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/ofr03145","usgsCitation":"Wolock, D.M., 2003, Hydrologic landscape regions of the United States: U.S. Geological Survey Open-File Report 2003-145, Dataset, https://doi.org/10.3133/ofr03145.","productDescription":"Dataset","costCenters":[],"links":[{"id":179566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4588,"rank":100,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?hlrus","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.993809,4.582580 ], [ -179.993809,84.659265 ], [ 179.883210,84.659265 ], [ 179.883210,4.582580 ], [ -179.993809,4.582580 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db60679b","contributors":{"authors":[{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":243936,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":52657,"text":"wri034246 - 2003 - Precipitation-Runoff Simulations of Current and Natural Streamflow Conditions in the Methow River Basin, Washington","interactions":[],"lastModifiedDate":"2012-02-02T00:11:26","indexId":"wri034246","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4246","title":"Precipitation-Runoff Simulations of Current and Natural Streamflow Conditions in the Methow River Basin, Washington","docAbstract":"Management of the water resources of the Methow River Basin is changing in response to the listing of three species of fish under the Endangered Species Act and the Washington State-legislated watershed-planning process. This report describes the construction and calibration of an enhanced precipitation-runoff model for the Methow River Basin and evaluates the model as a predictive tool for assessing the current and natural streamflow conditions.\r\n\r\nThis study builds upon a previous precipitation-runoff model for the Methow River Basin and validates the current model using a new, more extensive streamflow data network. The major enhancement was the simulation of current flow conditions with the addition of irrigation diversions, returns, and application. The Geographic Information System Weasel characterized the physical properties of the basin and the Modular Modeling System, using the Precipitation-Runoff Modeling System, simulated the hydrologic flow.\r\n\r\nStreamflow was simulated for water years 1992-2001 to calibrate the model to measured streamflows. A sensitivity analysis was completed using nonlinear regression to determine hydrologic parameters pertinent to the modeling results. Simulated and measured streamflow generally showed close agreement, especially during spring runoff from snowmelt. Low-flow or baseflow periods, most restrictive to fish habitation, were simulated reasonably well yet possessed the most uncertainty. Simulations of annual mean streamflow as a percentage of measured annual mean streamflow for the 10-year calibration period at six of the seven streamflow-gaging stations ranged from -35.2 to +26.2 percent, with 65 percent of the simulated values within 15 percent. One station was intentionally calibrated to over-simulate discharge (simulated discharge greater than measured discharge) in order to compensate for observed channel losses not simulated by the model. Simulation of water years 1960-2001 demonstrated great variability in monthly streamflow statistics. The simulated mean monthly flows for 11 streamflow-gaging stations were an average of 2.5 percent higher for water years 1992-2001 than for the entire simulation period. If water year 2001, an extreme drought year, is omitted, simulated mean monthly flows for the 11 streamflow-gaging stations were an average of 9.0 percent higher than for the entire simulation period. The calibrated model also examined the effects of irrigation-canal seepage on streamflow. Irrigation-canal seepage contributed to streamflow throughout the year, with the greatest effect during the irrigation season.\r\n\r\n\r\nManagement of the water resources of the Methow River Basin is changing in response to the listing of three species of fish under the Endangered Species Act and the Washington State-legislated watershed-planning process. This report describes the construction and calibration of an enhanced precipitation-runoff model for the Methow River Basin and evaluates the model as a predictive tool for assessing the current and natural streamflow conditions.\r\n\r\nThis study builds upon a previous precipitation-runoff model for the Methow River Basin and validates the current model using a new, more extensive streamflow data network. The major enhancement was the simulation of current flow conditions with the addition of irrigation diversions, returns, and application. The Geographic Information System Weasel characterized the physical properties of the basin and the Modular Modeling System, using the Precipitation-Runoff Modeling System, simulated the hydrologic flow.\r\n\r\nStreamflow was simulated for water years 1992-2001 to calibrate the model to measured streamflows. A sensitivity analysis was completed using nonlinear regression to determine hydrologic parameters pertinent to the modeling results. Simulated and measured streamflow generally showed close agreement, especially during spring runoff from snowmelt. Low-flow or baseflow periods, most restrictive to fish habitation","language":"ENGLISH","doi":"10.3133/wri034246","usgsCitation":"Ely, D.M., 2003, Precipitation-Runoff Simulations of Current and Natural Streamflow Conditions in the Methow River Basin, Washington: U.S. Geological Survey Water-Resources Investigations Report 2003-4246, 35 p., https://doi.org/10.3133/wri034246.","productDescription":"35 p.","costCenters":[],"links":[{"id":5110,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034246/","linkFileType":{"id":5,"text":"html"}},{"id":178954,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cf5e","contributors":{"authors":[{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":245712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44923,"text":"wri024230 - 2003 - Using water-quality profiles to characterize seasonal water quality and loading in the upper Animas River basin, southwestern Colorado","interactions":[],"lastModifiedDate":"2020-02-18T19:46:11","indexId":"wri024230","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4230","title":"Using water-quality profiles to characterize seasonal water quality and loading in the upper Animas River basin, southwestern Colorado","docAbstract":"One of the important types of information needed to characterize water quality in streams affected by historical mining is the seasonal pattern of toxic trace-metal concentrations and loads. Seasonal patterns in water quality are estimated in this report using a technique called water-quality profiling. Water-quality profiling allows land managers and scientists to assess priority areas to be targeted for characterization and(or) remediation by quantifying the timing and magnitude of contaminant occurrence. Streamflow and water-quality data collected at 15 sites in the upper Animas River Basin during water years 1991?99 were used to develop water-quality profiles. Data collected at each sampling site were used to develop ordinary least-squares regression models for streamflow and constituent concentrations. Streamflow was estimated by correlating instantaneous streamflow measured at ungaged sites with continuous streamflow records from streamflow-gaging stations in the subbasin. Water-quality regression models were developed to estimate hardness and dissolved cadmium, copper, and zinc concentrations based on streamflow and seasonal terms. Results from the regression models were used to calculate water-quality profiles for streamflow, constituent concentrations, and loads. Quantification of cadmium, copper, and zinc loads in a stream segment in Mineral Creek (sites M27 to M34) was presented as an example application of water-quality profiling. The application used a method of mass accounting to quantify the portion of metal loading in the segment derived from uncharacterized sources during different seasonal periods. During May, uncharacterized sources contributed nearly 95 percent of the cadmium load, 0 percent of the copper load (or uncharacterized sources also are attenuated), and about 85 percent of the zinc load at M34. During September, uncharacterized sources contributed about 86 percent of the cadmium load, 0 percent of the copper load (or uncharacterized sources also are attenuated), and about 52 percent of the zinc load at M34. Characterized sources accounted for more of the loading gains estimated in the example reach during September, possibly indicating the presence of diffuse inputs during snowmelt runoff. The results indicate that metal sources in the upper Animas River Basin may change substantially with season, regardless of the source.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri024230","usgsCitation":"Leib, K.J., Mast, M.A., and Wright, W.G., 2003, Using water-quality profiles to characterize seasonal water quality and loading in the upper Animas River basin, southwestern Colorado: U.S. Geological Survey Water-Resources Investigations Report 2002-4230, 43 p., https://doi.org/10.3133/wri024230.","productDescription":"43 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":3800,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024230/ ","linkFileType":{"id":5,"text":"html"}},{"id":162168,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River basin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-107.5857,37.9702],[-107.5786,37.9667],[-107.5721,37.9636],[-107.5632,37.9573],[-107.5584,37.9524],[-107.5549,37.9493],[-107.5502,37.9475],[-107.5361,37.9445],[-107.5319,37.9414],[-107.5324,37.9378],[-107.5347,37.9337],[-107.5352,37.9291],[-107.5351,37.9237],[-107.532,37.9178],[-107.5278,37.9088],[-107.5247,37.9039],[-107.5212,37.9007],[-107.5211,37.8967],[-107.5279,37.8875],[-107.5324,37.8806],[-107.5329,37.8748],[-107.5317,37.8734],[-107.5305,37.8716],[-107.5204,37.8618],[-107.5179,37.8554],[-107.5184,37.8486],[-107.5176,37.84],[-107.5146,37.8342],[-107.5127,37.8288],[-107.5121,37.8265],[-107.5109,37.8256],[-107.5068,37.8243],[-107.491,37.8236],[-107.4828,37.8223],[-107.4757,37.817],[-107.4705,37.8143],[-107.4669,37.8107],[-107.4627,37.8044],[-107.4578,37.7918],[-107.457,37.785],[-107.4581,37.7791],[-107.4666,37.7668],[-107.4677,37.7645],[-107.4695,37.7645],[-107.4777,37.768],[-107.4812,37.7684],[-107.4829,37.7675],[-107.484,37.7648],[-107.4824,37.7407],[-107.4832,37.6374],[-107.6698,37.6372],[-107.6849,37.6375],[-107.6867,37.6375],[-107.9686,37.6377],[-107.9628,37.6401],[-107.96,37.6415],[-107.9583,37.6429],[-107.9572,37.6456],[-107.9572,37.6479],[-107.9579,37.6524],[-107.9604,37.6592],[-107.9629,37.6646],[-107.966,37.6718],[-107.9685,37.6777],[-107.9698,37.6822],[-107.9699,37.6867],[-107.9688,37.6899],[-107.966,37.6936],[-107.9615,37.6977],[-107.9575,37.7005],[-107.9534,37.7024],[-107.9505,37.7029],[-107.9471,37.7029],[-107.9389,37.7017],[-107.936,37.7017],[-107.9331,37.7027],[-107.9274,37.706],[-107.9239,37.7074],[-107.9181,37.7079],[-107.9135,37.7098],[-107.9094,37.7112],[-107.9049,37.7154],[-107.9014,37.7168],[-107.8968,37.7173],[-107.8904,37.717],[-107.8817,37.7162],[-107.8764,37.7163],[-107.8747,37.7172],[-107.873,37.7213],[-107.8726,37.7259],[-107.8733,37.7317],[-107.8717,37.7368],[-107.8684,37.7431],[-107.8644,37.7477],[-107.8627,37.7509],[-107.8622,37.7537],[-107.8629,37.7559],[-107.8641,37.7582],[-107.8659,37.76],[-107.8677,37.7617],[-107.8683,37.7635],[-107.8672,37.7663],[-107.8615,37.7732],[-107.8592,37.7737],[-107.854,37.7742],[-107.8493,37.7734],[-107.8446,37.7721],[-107.8423,37.7721],[-107.84,37.7726],[-107.8354,37.7767],[-107.8275,37.7859],[-107.8224,37.7915],[-107.8213,37.7928],[-107.8225,37.7955],[-107.8268,37.8063],[-107.8263,37.8082],[-107.8258,37.81],[-107.8085,37.8207],[-107.8056,37.8212],[-107.8004,37.8212],[-107.7975,37.8213],[-107.7952,37.8222],[-107.7935,37.8236],[-107.7918,37.8277],[-107.7885,37.8332],[-107.7868,37.8355],[-107.7845,37.8378],[-107.7812,37.8451],[-107.7762,37.8556],[-107.7756,37.857],[-107.7768,37.8592],[-107.7781,37.8615],[-107.7741,37.8656],[-107.7655,37.8739],[-107.7553,37.8845],[-107.7479,37.8923],[-107.7422,37.8982],[-107.7359,37.9038],[-107.7188,37.8977],[-107.7077,37.8955],[-107.7024,37.892],[-107.6977,37.8912],[-107.6942,37.8917],[-107.6897,37.8967],[-107.6879,37.8976],[-107.6862,37.899],[-107.6839,37.9],[-107.681,37.9],[-107.6682,37.9011],[-107.6595,37.9039],[-107.6514,37.9081],[-107.6422,37.9146],[-107.6394,37.9187],[-107.6389,37.9237],[-107.6404,37.9368],[-107.6405,37.9404],[-107.6407,37.9491],[-107.6385,37.9545],[-107.635,37.9586],[-107.6263,37.9588],[-107.6216,37.9588],[-107.6077,37.9636],[-107.5961,37.9669],[-107.588,37.9688],[-107.5857,37.9702]]]},\"properties\":{\"name\":\"San Juan\",\"state\":\"CO\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602ddc","contributors":{"authors":[{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":230689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Winfield G.","contributorId":27044,"corporation":false,"usgs":true,"family":"Wright","given":"Winfield","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":230691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":47771,"text":"wri024300 - 2003 - Flow origin, drainage area, and hydrologic characteristics for headwater streams in the mountaintop coal-mining region of Southern West Virginia, 2000-01","interactions":[],"lastModifiedDate":"2012-02-02T00:10:07","indexId":"wri024300","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4300","title":"Flow origin, drainage area, and hydrologic characteristics for headwater streams in the mountaintop coal-mining region of Southern West Virginia, 2000-01","docAbstract":"Characteristics of perennial and intermittent headwater streams were documented in the mountaintop removal coal-mining region of southern West Virginia in 2000?01. The perennial-flow origin points were identified in autumn during low base-flow conditions. The intermittent-flow origin points were identified in late winter and early spring during high base-flow conditions. \r\n\r\n \r\n\r\nResults of this investigation indicate that the median drainage area upstream of the origin of intermittent flow was 14.5 acres, and varied by an absolute median of 3.4 acres between the late winter measurements of 2000 and early spring measurements of 2001. Median drainage area in the northeastern part of the study unit was generally larger (20.4 acres), with a lower median basin slope (322 feet per mile) than the southwestern part of the study unit (12.9 acres and 465 feet per mile, respectively). Both of the seasons preceding the annual intermittent flow visits were much drier than normal. The West Virginia Department of Environmental Protection reports that the median size of permitted valley fills in southern West Virginia is 12.0 acres, which is comparable to the median drainage area upstream of the ephemeralintermittent flow point (14.5 acres). The maximum size of permitted fills (480 acres), however, is more than 10 times the observed maximum drainage area upstream of the ephemeral-intermittent flow point (45.3 acres), although a single valley fill may cover more than one drainage area. \r\n\r\n \r\n\r\nThe median drainage area upstream of the origin of perennial flow was 40.8 acres, and varied by an absolute median of 18.0 acres between two annual autumn measurements. Only basins underlain with mostly sandstone bedrock produced perennial flow. Perennial points in the northeast part of the study unit had a larger median drainage area (70.0 acres) and a smaller median basin slope (416 feet per mile) than perennial points in the southwest part of the study unit (35.5 acres and 567 feet per mile, respectively). Some streams were totally dry for one or both of the annual October visits. Both of the seasons preceding the October visits had near normal to higher than normal precipitation. These dry streams were adjacent to perennial streams draining similarly sized areas, suggesting that local conditions at a firstorder- stream scale determine whether or not there will be perennial flow. \r\n\r\n \r\n\r\nHeadwater-flow rates varied little from year to year, but there was some variation between late winter and early spring and autumn. Flow rates at intermittent points of flow origin ranged from 0.001 to 0.032 cubic feet per second, with a median of 0.017 cubic feet per second. Flow rates at perennial points of flow origin ranged from 0.001 to 0.14 cubic feet per second, with a median of 0.003 cubic feet per second.","language":"ENGLISH","doi":"10.3133/wri024300","usgsCitation":"Paybins, K.S., 2003, Flow origin, drainage area, and hydrologic characteristics for headwater streams in the mountaintop coal-mining region of Southern West Virginia, 2000-01: U.S. Geological Survey Water-Resources Investigations Report 2002-4300, 24 p., https://doi.org/10.3133/wri024300.","productDescription":"24 p.","costCenters":[],"links":[{"id":161976,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4096,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024300/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530e6c","contributors":{"authors":[{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":236199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":51553,"text":"ofr03146 - 2003 - Flow characteristics at U.S. Geological Survey streamgages in the conterminous United States","interactions":[],"lastModifiedDate":"2012-02-02T00:11:31","indexId":"ofr03146","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"2003-146","title":"Flow characteristics at U.S. Geological Survey streamgages in the conterminous United States","docAbstract":"This dataset represents point locations and flow characteristics for current (as of November 20, 2001) and historical U.S. Geological Survey (USGS) streamgages in the conterminous United States. The flow characteristics were computed from the daily streamflow data recorded at each streamgage for the period of record.\r\n\r\nThe attributes associated with each streamgage include:\r\n\r\nStation number\r\nStation name\r\nStation latitude (decimal degrees in North American Datum of 1983, NAD 83)\r\nStation longitude (decimal degrees in NAD 83)\r\nFirst date (year, month, day) of streamflow data\r\nLast date (year, month, day) of streamflow data\r\nNumber of days of streamflow data\r\nMinimum and maximum daily flow for the period of record (cubic feet per second)\r\nPercentiles (1, 5, 10, 20, 25, 50, 75, 80, 90, 95, 99) of daily flow for the period of record (cubic feet per second)\r\nAverage and standard deviation of daily flow for the period of record (cubic feet per second)\r\nMean annual base-flow index (BFI: see supplemental information) computed for the period of record (fraction, ranging from 0 to 1)\r\nYear-to-year standard deviation of the annual base-flow index computed for the period of record (fraction)\r\nNumber of years of data used to compute the base-flow index (years)\r\nReported drainage area (square miles)\r\nReported contributing drainage area (square miles)\r\nNational Water Information System (NWIS)-Web page URL for streamgage\r\nHydrologic Unit Code (HUC, 8 digit)\r\nHydrologic landscape region (HLR)\r\nRiver Reach File 1 (RF1) segment identification number (E2RF1##)\r\n\r\nStation numbers, names, locations, and drainage areas were acquired through the National Water Information System (NWIS)-Web (http://water.usgs.gov/nwis) on November 20, 2001. The streamflow data used to compute flow characteristics were copied from the Water server (water.usgs.gov:/www/htdocs/nwisweb/data1/discharge/) on November 2, 2001.\r\n\r\nThe missing value indicator for all attributes is -99. Some streamflow characteristics are missing for: (1) streamgages measuring flow subject to tidal effects, which cause flow to reverse directions, (2) streamgages with site information but no streamflow data at the time the data were retrieved, and (3) streamgages with record length too short to compute the base-flow index.","language":"ENGLISH","doi":"10.3133/ofr03146","usgsCitation":"Wolock, D., 2003, Flow characteristics at U.S. Geological Survey streamgages in the conterminous United States: U.S. Geological Survey Open-File Report 2003-146, vector digital data, https://doi.org/10.3133/ofr03146.","productDescription":"vector digital data","costCenters":[],"links":[{"id":4587,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/lookup/getspatial?qsitesdd","linkFileType":{"id":5,"text":"html"}},{"id":179481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606794","contributors":{"authors":[{"text":"Wolock, David","contributorId":61528,"corporation":false,"usgs":true,"family":"Wolock","given":"David","affiliations":[],"preferred":false,"id":243935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":53748,"text":"wri20034178 - 2003 - Ground-water resources of Saipan, Commonwealth of the Northern Mariana Islands","interactions":[],"lastModifiedDate":"2025-06-18T19:41:04.043278","indexId":"wri20034178","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4178","title":"Ground-water resources of Saipan, Commonwealth of the Northern Mariana Islands","docAbstract":"Saipan has an area of 48 mi2 and is the largest of the 14 islands in the Commonwealth of the Northern Mariana Islands (CNMI). The island is formed by volcanic rocks overlain by younger limestones. The island is situated in the western Pacific Ocean at latitude 15o12'N and longitude 145o45'E, about 3,740 mi west-southwest of Honolulu and midway between Japan and New Guinea (fig. 1). The climate on Saipan is classified as tropical marine with an average temperature of 80oF. The natural beauty of the island and surrounding waters are the basis for a growing tourist-based economy. The resulting rapid development and increases in resident and tourist populations have added stresses to the island's limited water supplies.
Freshwater resources on Saipan are not readily observable because, aside from the abundant rainfall, most freshwater occurs as ground water. Fresh ground water is found in aquifers composed mainly of fragmental limestones. About 90 percent of the municipal water supply comes from 140 shallow wells that withdraw about 11 Mgal/d. The chloride concentration of water withdrawn from production wells ranges from less than 100 mg/L for wells in the Akgak and Capital Hill well fields, to over 2,000 mg/L from wells in the Puerto Rico, Maui IV, and Marpi Quarry well fields.
The chloride concentrations and rates of ground-water production are not currently adequate for providing island residents with a potable 24-hour water supply and future demands are expected to be higher. To better understand the ground-water resources of the island, and water resources on tropical islands in general, the U.S. Geological Survey (USGS) entered into a cooperative program with the Commonwealth Utilities Corporation (CUC). The objective of the program, initiated in 1989, is to assess the ground-water resources of Saipan and to make hydrologic information available to the CUC in support of their ongoing efforts to improve the quality and quantity of the municipal water supply.
This report presents some of the results of the program including descriptions of (1) the geography and geology, (2) the occurrence of fresh ground water in permeable limestones that extend to some distance below sea level where water-level elevation is affected by ocean tides (coastal aquifers) and in limestones that overlie volcanic basement rocks above sea level (high-level aquifers), (3) the water-table configuration and directions of ground-water flow, and (4) the rainfall, ground-water withdrawal, and chloride concentrations in well water. Also described is the relation of the changes in water-table elevations to changes in sea level, rainfall, and ground-water withdrawal.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri20034178","collaboration":"Prepared in cooperation with the Commonwealth Utilities Corporation, Commonwealth of the Northern Mariana Islands","usgsCitation":"Carruth, R., 2003, Ground-water resources of Saipan, Commonwealth of the Northern Mariana Islands: U.S. Geological Survey Water-Resources Investigations Report 2003-4178, 3 Plates: 34 x 44 inches, https://doi.org/10.3133/wri20034178.","productDescription":"3 Plates: 34 x 44 inches","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":5149,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri034178/","linkFileType":{"id":5,"text":"html"}},{"id":178872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"Commonwealth of the Northern Mariana Islands","otherGeospatial":"Saipan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 145.8401269414237,\n 15.296588874330752\n ],\n [\n 145.66986380439243,\n 15.296588874330752\n ],\n [\n 145.66986380439243,\n 15.078841195911565\n ],\n [\n 145.8401269414237,\n 15.078841195911565\n ],\n [\n 145.8401269414237,\n 15.296588874330752\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d4b4","contributors":{"authors":[{"text":"Carruth, Rob 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":1162,"corporation":false,"usgs":true,"family":"Carruth","given":"Rob","email":"rlcarr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":248296,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":51456,"text":"ofr03104 - 2003 - Estimates of deep percolation beneath native vegetation, irrigated fields, and the Amargosa-River Channel, Amargosa Desert, Nye County, Nevada","interactions":[],"lastModifiedDate":"2020-02-10T06:39:14","indexId":"ofr03104","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"2003-104","title":"Estimates of deep percolation beneath native vegetation, irrigated fields, and the Amargosa-River Channel, Amargosa Desert, Nye County, Nevada","docAbstract":"The presence and approximate rates of deep percolation beneath areas of native vegetation, irrigated fields, and the Amargosa-River channel in the Amargosa Desert of southern Nevada were evaluated using the chloride mass-balance method and inferred downward velocities of chloride and nitrate peaks. Estimates of deep-percolation rates in the Amargosa Desert are needed for the analysis of regional ground-water flow and transport. An understanding of regional flow patterns is important because ground water originating on the Nevada Test Site may pass through the area before discharging from springs at lower elevations in the Amargosa Desert and in Death Valley. Nine boreholes 10 to 16 meters deep were cored nearly continuously using a hollow-stem auger designed for gravelly sediments. Two boreholes were drilled in each of three irrigated fields in the Amargosa-Farms area, two in the Amargosa-River channel, and one in an undisturbed area of native vegetation. Data from previously cored boreholes beneath undisturbed, native vegetation were compared with the new data to further assess deep percolation under current climatic conditions and provide information on spatial variability.
The profiles beneath native vegetation were characterized by large amounts of accumulated chloride just below the root zone with almost no further accumulation at greater depths. This pattern is typical of profiles beneath interfluvial areas in arid alluvial basins of the southwestern United States, where salts have been accumulating since the end of the Pleistocene. The profiles beneath irrigated fields and the Amargosa-River channel contained more than twice the volume of water compared to profiles beneath native vegetation, consistent with active deep percolation beneath these sites. Chloride profiles beneath two older fields (cultivated since the 1960’s) as well as the upstream Amargosa-River site were indicative of long-term, quasi-steady deep percolation. Chloride profiles beneath the newest field (cultivated since 1993), the downstream Amargosa-River site, and the edge of an older field were indicative of recently active deep percolation moving previously accumulated salts from the upper profile to greater depths.
Results clearly indicate that deep percolation and ground-water recharge occur not only beneath areas of irrigation but also beneath ephemeral stream channels, despite the arid climate and infrequency of runoff. Rates of deep percolation beneath irrigated fields ranged from 0.1 to 0.5 m/yr. Estimated rates of deep percolation beneath the Amargosa-River channel ranged from 0.02 to 0.15 m/yr. Only a few decades are needed for excess irrigation water to move through the unsaturated zone and recharge ground water. Assuming vertical, one-dimensional flow, the estimated time for irrigation-return flow to reach the water table beneath the irrigated fields ranged from about 10 to 70 years. In contrast, infiltration from present-day runoff takes centuries to move through the unsaturated zone and reach the water table. The estimated time for water to reach the water table beneath the channel ranged from 140 to 1000 years. These values represent minimum times, as they do not take lateral flow into account. The estimated fraction of irrigation water becoming deep percolation averaged 8 to 16 percent. Similar fractions of infiltration from ephemeral flow events were estimated to become deep percolation beneath the normally dry Amargosa-River channel. In areas where flood-induced channel migration occurs at sub-centennial frequencies, residence times in the unsaturated zone beneath the Amargosa channel could be longer. Estimates of deep percolation presented herein provide a basis for evaluating the importance of recharge from irrigation and channel infiltration in models of ground-water flow from the Nevada Test Site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Denver, CO","doi":"10.3133/ofr03104","collaboration":"Prepared in cooperation with the Nevada Operations Office, U.S. Department of Energy, under Interagency Agreement DE - AI08 - 96NV11967 ","usgsCitation":"Stonestrom, D.A., Prudic, D.E., Laczniak, R.J., Akstin, K.C., Boyd, R., and Henkelman, K.K., 2003, Estimates of deep percolation beneath native vegetation, irrigated fields, and the Amargosa-River Channel, Amargosa Desert, Nye County, Nevada: U.S. Geological Survey Open-File Report 2003-104, 88 p., https://doi.org/10.3133/ofr03104.","productDescription":"88 p.","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":179304,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4464,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03-104/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Amargosa Desert","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-115.9082,39.1615],[-115.5191,38.9578],[-115.4725,38.9325],[-115.4433,38.9162],[-115.3694,38.8769],[-115.363,38.874],[-115.242,38.8093],[-115.0969,38.7309],[-115.0777,38.721],[-115.0604,38.7107],[-115.0291,38.6937],[-114.999,38.6777],[-114.9996,38.592],[-114.9997,38.4315],[-114.9994,38.3894],[-115.0004,38.0507],[-115.1185,38.0508],[-115.1436,38.0508],[-115.326,38.0515],[-115.3453,38.0514],[-115.4003,38.051],[-115.4587,38.0506],[-115.6394,38.0512],[-115.6581,38.051],[-115.8404,38.0504],[-115.8931,38.0507],[-115.8938,37.723],[-115.8969,37.5498],[-115.8975,37.2796],[-115.8982,37.1926],[-115.8942,36.8425],[-115.8941,36.686],[-115.8945,36.6702],[-115.8949,36.598],[-115.8949,36.5962],[-115.8946,36.5858],[-115.8947,36.5005],[-115.8945,36.4806],[-115.8949,36.462],[-115.8944,36.457],[-115.8948,36.3087],[-115.8945,36.2923],[-115.8943,36.1957],[-115.8945,36.1608],[-115.8948,36.1163],[-115.8948,36.0927],[-115.895,36.0015],[-115.9178,36.0192],[-115.9518,36.0457],[-115.9925,36.0773],[-116.049,36.1211],[-116.0624,36.1314],[-116.1039,36.1636],[-116.1287,36.1829],[-116.1702,36.2152],[-116.173,36.2174],[-116.2311,36.2626],[-116.2834,36.3028],[-116.2954,36.3122],[-116.3752,36.373],[-116.5107,36.4764],[-116.5247,36.4871],[-116.5589,36.5131],[-116.574,36.5245],[-116.5946,36.54],[-116.6556,36.5867],[-116.6583,36.5888],[-116.6764,36.6024],[-116.706,36.6248],[-116.7895,36.6877],[-116.8424,36.7276],[-116.8453,36.7298],[-116.8806,36.7568],[-116.8912,36.7648],[-116.9237,36.7891],[-116.9641,36.8193],[-116.9783,36.8299],[-116.981,36.8319],[-117.0046,36.8495],[-117.164,36.9688],[-117.1639,36.9698],[-117.1637,37.0182],[-117.164,37.0894],[-117.1642,37.171],[-117.1641,37.1909],[-117.1641,37.1936],[-117.1665,37.6995],[-117.1664,37.714],[-117.1663,37.7285],[-117.1663,37.7435],[-117.1662,37.7585],[-117.1657,38.0019],[-117.2198,38.0482],[-117.2397,38.0483],[-117.239,38.0641],[-117.2408,38.0705],[-117.2653,38.0932],[-117.6896,38.4731],[-118.0197,38.7599],[-118.197,38.9154],[-118.1972,38.9993],[-117.8559,39.0746],[-117.7748,39.092],[-117.7008,39.1058],[-117.6409,39.1149],[-117.5946,39.1231],[-117.4742,39.1431],[-117.3823,39.1562],[-117.3609,39.1585],[-117.3318,39.1629],[-117.3063,39.1634],[-117.2849,39.1633],[-117.1995,39.1632],[-117.0856,39.1628],[-117.0322,39.1626],[-117.0144,39.1626],[-116.9871,39.1625],[-116.9158,39.1631],[-116.7562,39.1622],[-116.7301,39.1625],[-116.5996,39.1616],[-116.5859,39.162],[-116.4815,39.1616],[-116.3497,39.1618],[-116.2358,39.1616],[-116.0548,39.1624],[-115.9082,39.1615]]]},\"properties\":{\"name\":\"Nye\",\"state\":\"NV\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fcb37","contributors":{"authors":[{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - 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2003 - Effects of hydrology on red mangrove recruits","interactions":[],"lastModifiedDate":"2016-09-15T10:07:51","indexId":"fs02903","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"029-03","title":"Effects of hydrology on red mangrove recruits","docAbstract":"Coastal wetlands along the Gulf of Mexico have been experiencing significant shifts in hydrology and salinity levels over the past century as a result of changes in sea level and freshwater drainage patterns. Local land management in coastal zones has also impacted the hydrologic regimes of salt marshes and mangrove areas. Parks and refuges in south Florida that contain mangrove forests have, in some cases, been ditched or impounded to control mosquito outbreaks and to foster wildlife use. And while mangroves dominate the subtropical coastlines of Florida and thrive in saltwater environments, little is known about how they respond to changes in hydrology under managed or variable tidal conditions. USGS researchers designed a study to evaluate the basic hydrological requirements of mangroves so that their health and survival may be more effectively managed in controlled impoundments and restored wetlands.
Mangroves are commonly found in the intertidal zone (between low and high tides) in a rather broad spectrum of hydrologic settings. Because they thrive at the interface of land and sea, mangroves are subject to changes in freshwater flow (flow rate, nutrients, pollutants) and to marine influences (sea-level rise, salinity). Salinity has long been recognized as a controlling factor that determines the health and distribution of mangrove forests. Field and experimental observations indicate that most mangrove species achieve their highest growth potential under brackish conditions (modest salinity) between 10 and 20 parts per thousand (ppt). Yet, if provided with available propagules, successful regeneration, and limited competition from other plants, then mangroves can survive and thrive in freshwater systems as well.
Because little is known about the growthand survival patterns of mangrove species relative to changing hydrology, USGS scientists conducted greenhouse and field experiments to determine how flooded or drained patterns of hydrology would influence growth of the red mangrove, Rhizophora mangle (fig. 1). Red mangrove propagules (recruits) of select sizes and genotypes (i.e., genetically similar groups) were planted both in greenhouses and in the field. Seedling growth was monitored in both studies on a quarterly basis for over a year; measurements included shoot growth, seedling height, and a final harvest of plant biomass.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs02903","usgsCitation":"Doyle, T.W., 2003, Effects of hydrology on red mangrove recruits: U.S. Geological Survey Fact Sheet 029-03, 2 p., https://doi.org/10.3133/fs02903.","productDescription":"2 p.","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125703,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_029_03.jpg"},{"id":10927,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://archive.usgs.gov/archive/sites/www.nwrc.usgs.gov/factshts/029-03/029-03.htm","linkFileType":{"id":5,"text":"html"}},{"id":4043,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://archive.usgs.gov/archive/sites/www.nwrc.usgs.gov/factshts/029-03.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624fde","contributors":{"authors":[{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":236351,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":51441,"text":"ofr03136 - 2003 - Simulating land-use changes and stormwater-detention basins and evaluating their effect on peak streamflows and stream-water quality in Irondequoit Creek basin, New York—A user's manual for HSPF and GenScn","interactions":[],"lastModifiedDate":"2017-04-04T13:36:20","indexId":"ofr03136","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","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":"2003-136","title":"Simulating land-use changes and stormwater-detention basins and evaluating their effect on peak streamflows and stream-water quality in Irondequoit Creek basin, New York—A user's manual for HSPF and GenScn","docAbstract":"A computer model of hydrologic and water-quality processes of the Irondequoit Creek basin in Monroe and Ontario Counties, N.Y., was developed during 2000-02 to enable water-resources managers to simulate the effects of future development and stormwater-detention basins on peak flows and water quality of Irondequoit Creek and its tributaries. The model was developed with the program Hydrological Simulation Program-Fortran (HSPF) such that proposed or hypothetical land-use changes and instream stormwater-detention basins could be simulated, and their effects on peak flows and loads of total suspended solids, total phosphorus, ammonia-plus-organic nitrogen, and nitrate-plus-nitrite nitrogen could be analyzed, through an interactive computer program known as Generation and Analysis of Model Simulation Scenarios for Watersheds (GenScn). This report is a user's manual written to guide the Irondequoit Creek Watershed Collaborative in (1) the creation of land-use and flow-detention scenarios for simulation by the HSPF model, and (2) the use of GenScn to analyze the results of these simulations. These analyses can, in turn, aid the group in making basin-wide water-resources-management decisions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03136","collaboration":"Prepared in cooperation with Irondequoit Creek Watershed Collaborative","usgsCitation":"Coon, W.F., 2003, Simulating land-use changes and stormwater-detention basins and evaluating their effect on peak streamflows and stream-water quality in Irondequoit Creek basin, New York—A user's manual for HSPF and GenScn: U.S. Geological Survey Open-File Report 2003-136, iv, 23 p., https://doi.org/10.3133/ofr03136.","productDescription":"iv, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":4451,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0136/ofr20030136.pdf","text":"Report","size":"356 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2003-0136"},{"id":179084,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0136/coverthb.jpg"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
No abstract available.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods of soil analysis: Part 4 physical methods","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, Wisconsin","usgsCitation":"Nimmo, J.R., 2002, Property transfer from particle and aggregate size to water retention [property-transfer models], chap. of Methods of soil analysis: Part 4 physical methods, p. 777-782.","productDescription":"6 p.","startPage":"777","endPage":"782","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10efaae4b034bf6a804b09","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":747149,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179680,"text":"70179680 - 2002 - An ancient duality","interactions":[],"lastModifiedDate":"2020-04-10T17:25:16.40501","indexId":"70179680","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3030,"text":"People, Land, and Water","active":true,"publicationSubtype":{"id":10}},"title":"An ancient duality","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Department of the Interior","usgsCitation":"Rice, K.C., 2002, An ancient duality: People, Land, and Water, v. 9, no. 1, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a493e4b04df303d95830","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658203,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179679,"text":"70179679 - 2002 - Level I water-quality inventory and monitoring, Richmond National Battlefield Park, Virginia","interactions":[],"lastModifiedDate":"2017-01-19T14:45:25","indexId":"70179679","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5187,"text":"National Park Service Inventory and Monitoring Program","active":true,"publicationSubtype":{"id":4}},"title":"Level I water-quality inventory and monitoring, Richmond National Battlefield Park, Virginia","docAbstract":"The U.S. Geological Survey conducted a Level I Water-Quality Inventory and Monitoring (WAQIM) data-collection effort for Richmond National Battlefield Park (Richmond NBP) from August 2001 through April 2002. The primary objective of the WAQIM program was to provide the National Park Service (NPS) and Richmond NBP with at least a nominal inventory of its natural resources and to provide those data in a data-management system consistent with park management needs. Water-quality inventory data (physical, chemical, and biological) were collected from \"key\" water bodies within the boundaries of Richmond NBP. The key water bodies are those waters within park boundaries that are essential to the central cultural, historical or natural resources management themes of the parks or provide habitats to threatened or endangered plants and animals. Data were collected during the fall, winter, spring, and summer over a range of hydrologic conditions. Because of the drought conditions that persisted during the study period, variations in flow between seasons were less pronounced than during normal hydrologic conditions.
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ecosystem","docAbstract":"Although nutrient supply often underlies long-term changes in aquatic primary production, other regulatory processes can be important. The Sacramento-San Joaquin River Delta, a complex of tidal waterways forming the landward portion of the San Francisco Estuary, has ample nutrient supplies, enabling us to examine alternate regulatory mechanisms over a 21-yr period. Delta-wide primary productivity was reconstructed from historical water quality data for 1975–1995. Annual primary production averaged 70 g C m−2, but it varied by over a factor of five among years. At least four processes contributed to this variability: (1) invasion of the clam Potamocorbula amurensis led to a persistent decrease in phytoplankton biomass (chlorophyll a) after 1986; (2) a long-term decline in total suspended solids—probably at least partly because of upstream dam construction—increased water transparency and phytoplankton growth rate; (3) river inflow, reflecting climate variability, affected biomass through fluctuations in flushing and growth rates through fluctuations in total suspended solids; and (4) an additional pathway manifesting as a long-term decline in winter phytoplankton biomass has been identified, but its genesis is uncertain. Overall, the Delta lost 43% in annual primary production during the period. Given the evidence for food limitation of primary consumers, these findings provide a partial explanation for widespread Delta species declines over the past few decades. Turbid nutrient-rich systems such as the Delta may be inherently more variable than other tidal systems because certain compensatory processes are absent. Comparisons among systems, however, can be tenuous because conclusions about the magnitude and mechanisms of variability are dependent on length of data record.
\n","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.4319/lo.2002.47.3.0698","usgsCitation":"Jassby, A.D., Cloern, J.E., and Cole, B., 2002, Annual primary production: Patterns and mechanisms of change in a nutrient-rich tidal ecosystem: Limnology and Oceanography, v. 47, no. 3, p. 698-712, https://doi.org/10.4319/lo.2002.47.3.0698.","productDescription":"15 p.","startPage":"698","endPage":"712","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":478581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4319/lo.2002.47.3.0698","text":"External Repository"},{"id":325062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.88507080078125,\n 37.74900069437069\n ],\n [\n -121.88507080078125,\n 38.33303882235456\n ],\n [\n -121.25610351562499,\n 38.33303882235456\n ],\n [\n -121.25610351562499,\n 37.74900069437069\n ],\n [\n -121.88507080078125,\n 37.74900069437069\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2002-05-07","publicationStatus":"PW","scienceBaseUri":"5784c336e4b0e02680be5900","contributors":{"authors":[{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":642157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, B.E.","contributorId":66268,"corporation":false,"usgs":true,"family":"Cole","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":642159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174623,"text":"70174623 - 2002 - Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary","interactions":[],"lastModifiedDate":"2018-11-28T07:55:40","indexId":"70174623","displayToPublicDate":"2015-12-09T03:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary","docAbstract":"
California's primary hydrologic system, the San Francisco estuary and its upstream watershed, is vulnerable to the regional hydrologic consequences of projected global climate change. Projected temperature anomalies from a global climate model are used to drive a combined model of watershed hydrology and estuarine dynamics. By 2090, a projected temperature increase of 2.1°C results in a loss of about half of the average April snowpack storage, with greatest losses in the northern headwaters. Consequently, spring runoff is reduced by 5.6 km3(∼20% of historical annual runoff), with associated increases in winter flood peaks. The smaller spring flows yield spring/summer salinity increases of up to 9 psu, with larger increases in wet years.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2001GL014339","usgsCitation":"Knowles, N., and Cayan, D.R., 2002, Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary: Geophysical Research Letters, v. 29, no. 18, p. 38-1-38-4, https://doi.org/10.1029/2001GL014339.","productDescription":"4 p.","startPage":"38-1","endPage":"38-4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":478582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001gl014339","text":"Publisher Index Page"},{"id":325232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Francisco","city":"San Francisco","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.03314208984374,\n 37.14499280340638\n ],\n [\n -123.03314208984374,\n 38.30933576918588\n ],\n [\n -121.2506103515625,\n 38.30933576918588\n ],\n [\n -121.2506103515625,\n 37.14499280340638\n ],\n [\n -123.03314208984374,\n 37.14499280340638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"18","noUsgsAuthors":false,"publicationDate":"2002-09-28","publicationStatus":"PW","scienceBaseUri":"57876630e4b0d27deb36e19c","contributors":{"authors":[{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":642451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159900,"text":"70159900 - 2002 - Hydrologic processes and nutrient dynamics in a pristine mountain catchment","interactions":[],"lastModifiedDate":"2019-12-10T17:19:22","indexId":"70159900","displayToPublicDate":"2015-08-10T05:15:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3679,"text":"Verhandlungen der Internationalen Vereinigung fur Theoretische und Angewandte Limnologie","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic processes and nutrient dynamics in a pristine mountain catchment","docAbstract":"Nutrient dynamics in watersheds have been used as an ecosystem-level indicator of overall ecosystem function or response to disturbance (e.g. Borman.N et al. 1974, WEBSTER et al. 1992). The examination of nutrients has been evaluated to determine responses to logging practices or other changes in watershed land use. Nutrient dynamics have been related to changing physical and biological characteristics (Mulholl AND 1992, CHESTNUT & McDowell 2000). Herein, the concentrations and dynamics of nitrogen, phosphorus and particulate organic carbon were examined in a large pristine watershed because they are affected by changes in discharge directly from the catchment and after passage through a large oligotrophic lake.
","language":"English","publisher":"Informa UK","doi":"10.1080/03680770.2001.11902705","usgsCitation":"F. Richard Hauer, Fagre, D.B., and Stanford, J.A., 2002, Hydrologic processes and nutrient dynamics in a pristine mountain catchment: Verhandlungen der Internationalen Vereinigung fur Theoretische und Angewandte Limnologie, v. 28, no. 3, p. 1490-1493, https://doi.org/10.1080/03680770.2001.11902705.","productDescription":"4 p.","startPage":"1490","endPage":"1493","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":311834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, McDonald Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.7906494140625,\n 48.228332127214934\n ],\n [\n -113.2086181640625,\n 48.228332127214934\n ],\n [\n -113.2086181640625,\n 48.99103162515999\n ],\n [\n -114.7906494140625,\n 48.99103162515999\n ],\n [\n -114.7906494140625,\n 48.228332127214934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175d5e4b06a3ea36c56b9","contributors":{"authors":[{"text":"F. Richard Hauer","contributorId":145878,"corporation":false,"usgs":false,"family":"F. Richard Hauer","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":580952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":580953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanford, Jack A.","contributorId":150193,"corporation":false,"usgs":false,"family":"Stanford","given":"Jack","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":580954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157407,"text":"70157407 - 2002 - Mercury loading and methylmercury production and cycling in high-altitude lakes from the Western United States","interactions":[],"lastModifiedDate":"2018-11-26T08:28:23","indexId":"70157407","displayToPublicDate":"2015-05-04T08:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3729,"text":"Water, Air, and Soil Pollution: Focus","onlineIssn":"1573-2940","printIssn":"1567-7230","active":true,"publicationSubtype":{"id":10}},"title":"Mercury loading and methylmercury production and cycling in high-altitude lakes from the Western United States","docAbstract":"Studies worldwide have shown that mercury (Hg) is a ubiquitous contaminant, reaching even the most remote environments such as high-altitude lakes via atmospheric pathways. However, very few studies have been conducted to assess Hg contamination levels of these systems. We sampled 90 mid-latitude, high-altitude lakes from seven national parks in the western United States during a four-week period in September 1999. In addition to the synoptic survey, routine monitoring and experimental studies were conducted at one of the lakes (Mills Lake) to quantify MeHg fluxrates and important process rates such as photo-demethylation. Results show that overall, high-altitude lakes have low total mercury (HgT) and methylmercury (MeHg) levels (1.07 and 0.05 ng L-1, respectively), but a very good correlation of Hg to MeHg (r2= 0.82) suggests inorganic Hg(II) loading is a primary controlling factor of MeHg levels in dilute mountain lakes. Positive correlations were also observed for dissolved organic carbon (DOC) and both Hg and MeHg, although to a much lesser degree. Levels of MeHg were similar among the seven national parks, with the exception of Glacier National Park where lowerconcentrations were observed (0.02 ng L-1), and appear to be related to naturally elevated pH values there. Measured rates ofMeHg photo-degradation at Mills Lake were quite fast, and this process was of equal importance to sedimentation and stream flow for removing MeHg. Enhanced rates of photo-demethylation are likely an important reason why high-altitude lakes, with typically high water clarity and sunlight exposure, are low in MeHg.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1023/A:1020162811104","usgsCitation":"Krabbenhoft, D.P., Olson, M.L., DeWild, J.F., Clow, D.W., Striegl, R.G., Dornblaser, M.M., and Van Metre, P., 2002, Mercury loading and methylmercury production and cycling in high-altitude lakes from the Western United States: Water, Air, and Soil Pollution: Focus, v. 2, no. 2, p. 233-249, https://doi.org/10.1023/A:1020162811104.","productDescription":"17 p.","startPage":"233","endPage":"249","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":308394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Montana, Wyoming","otherGeospatial":"Glacier National Park, Grand Teton National Park, Lassen Volcanic National Park, Rocky Mountain National Park, Sequoia National Park, 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Division","active":true,"usgs":true}],"preferred":false,"id":573042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":573043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70038220,"text":"70038220 - 2002 - Mercury on the move during snowmelt in Vermont","interactions":[],"lastModifiedDate":"2020-04-10T17:21:43.680117","indexId":"70038220","displayToPublicDate":"2012-04-27T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Mercury on the move during snowmelt in Vermont","docAbstract":"Although mercury (Hg) emissions peaked in the United States over the last 20 to 40 years and are now declining, they remain well above natural background levels in soils and sediments. Only a small fraction of the Hg deposited from the atmosphere to the terrestrial landscape runs off in streamflow. However, some of this Hg is methylated in the environment and can potentially bioaccumulate to the top of food webs, posing a hazard to people who eat fish, especially children and pregnant women. What factors determine the amount of Hg that runs off in streams? During the 2000 snowmelt at Sleepers River in Vermont, strong correlations were found between dissolved and particulate mercury and the respective dissolved and particulate organic carbon fractions, even when data were pooled from 10 streams of diverse watershed size and land cover. Episodic export of particulate Hg during the highest flows appears to be the dominant mechanism of Hg movement.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2002EO000031","usgsCitation":"Shanley, J.B., Schuster, P., Reddy, M., Roth, D., Taylor, H.E., and Aiken, G., 2002, Mercury on the move during snowmelt in Vermont: Eos, Transactions, American Geophysical Union, v. 83, no. 5, p. 45-48, https://doi.org/10.1029/2002EO000031.","productDescription":"4 p.","startPage":"45","endPage":"48","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":629,"text":"Water Resources Division","active":false,"usgs":true}],"links":[{"id":478585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2002eo000031","text":"Publisher Index Page"},{"id":254617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3447265625,\n 42.66628070564928\n ],\n [\n -72.48779296875,\n 42.69858589169842\n ],\n [\n -71.47705078125,\n 45.042478050891546\n ],\n [\n -73.47656249999999,\n 44.98034238084973\n ],\n [\n -73.3447265625,\n 42.66628070564928\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a5426e4b0c8380cd6cec7","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, P. F.","contributorId":30197,"corporation":false,"usgs":true,"family":"Schuster","given":"P. F.","affiliations":[],"preferred":false,"id":463669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reddy, M.M.","contributorId":24363,"corporation":false,"usgs":true,"family":"Reddy","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":463668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roth, D.A.","contributorId":100864,"corporation":false,"usgs":true,"family":"Roth","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":463672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":463670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aiken, G.","contributorId":82066,"corporation":false,"usgs":true,"family":"Aiken","given":"G.","affiliations":[],"preferred":false,"id":463671,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157405,"text":"70157405 - 2002 - Improving a regional model using reduced complexity and parameter estimation","interactions":[],"lastModifiedDate":"2022-01-21T16:51:07.573419","indexId":"70157405","displayToPublicDate":"2012-02-29T02:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Improving a regional model using reduced complexity and parameter estimation","docAbstract":"The availability of powerful desktop computers and graphical user interfaces for ground water flow models makes possible the construction of ever more complex models. A proposed copper-zinc sulfide mine in northern Wisconsin offers a unique case in which the same hydrologic system has been modeled using a variety of techniques covering a wide range of sophistication and complexity. Early in the permitting process, simple numerical models were used to evaluate the necessary amount of water to be pumped from the mine, reductions in streamflow, and the drawdowns in the regional aquifer. More complex models have subsequently been used in an attempt to refine the predictions. Even after so much modeling effort, questions regarding the accuracy and reliability of the predictions remain.
\nWe have performed a new analysis of the proposed mine using the two-dimensional analytic element code GFLOW coupled with the nonlinear parameter estimation code UCODE. The new model is parsimonious, containing fewer than 10 parameters, and covers a region several times larger in areal extent than any of the previous models. The model demonstrates the suitability of analytic element codes for use with parameter estimation codes. The simplified model results are similar to the more complex models; predicted mine inflows and UCODE-derived 95% confidence intervals are consistent with the previous predictions. More important, the large areal extent of the model allowed us to examine hydrological features not included in the previous models, resulting in new insights about the effects that far-field boundary conditions can have on near-field model calibration and parameterization. In this case, the addition of surface water runoff into a lake in the headwaters of a stream while holding recharge constant moved a regional ground watershed divide and resulted in some of the added water being captured by the adjoining basin. Finally, a simple analytical solution was used to clarify the GFLOW model's prediction that, for a model that is properly calibrated for heads, regional drawdowns are relatively unaffected by the choice of aquifer properties, but that mine inflows are strongly affected. Paradoxically, by reducing model complexity, we have increased the understanding gained from the modeling effort.
\nNo abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs05102","usgsCitation":"Krabbenhoft, D.P., and Schuster, P.F., 2002, Glacial ice cores reveal a record of natural and anthropogenic atmospheric mercury deposition for the last 270 years: U.S. Geological Survey Fact Sheet 051-02, 2 p., https://doi.org/10.3133/fs05102.","productDescription":"2 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":60657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2002/0051/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":123169,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2002/0051/report-thumb.jpg"}],"country":"United 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