{"pageNumber":"992","pageRowStart":"24775","pageSize":"25","recordCount":46734,"records":[{"id":54029,"text":"wri034047 - 2004 - Development and Application of Watershed Regressions for Pesticides (WARP) for Estimating Atrazine Concentration Distributions in Streams","interactions":[],"lastModifiedDate":"2012-02-02T00:11:55","indexId":"wri034047","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2003-4047","title":"Development and Application of Watershed Regressions for Pesticides (WARP) for Estimating Atrazine Concentration Distributions in Streams","docAbstract":"Regression models were developed for predicting atrazine concentration distributions in rivers and streams, using the Watershed Regressions for Pesticides (WARP) methodology. Separate regression equations were derived for each of nine percentiles of the annual distribution of atrazine concentrations and for the annual time-weighted mean atrazine concentration. In addition, seasonal models were developed for two specific periods of the year--the high season, when the highest atrazine concentrations are expected in streams, and the low season, when concentrations are expected to be low or undetectable. Various nationally available watershed parameters were used as explanatory variables, including atrazine use intensity, soil characteristics, hydrologic parameters, climate and weather variables, land use, and agricultural management practices. Concentration data from 112 river and stream stations sampled as part of the U.S. Geological Survey's National Water-Quality Assessment and National Stream Quality Accounting Network Programs were used for computing the concentration percentiles and mean concentrations used as the response variables in regression models. Tobit regression methods, using maximum likelihood estimation, were used for developing the models because some of the concentration values used for the response variables were censored (reported as less than a detection threshold). Data from 26 stations not used for model development were used for model validation.\r\n\r\n     The annual models accounted for 62 to 77 percent of the variability in concentrations among the 112 model development stations. Atrazine use intensity (the amount of atrazine used in the watershed divided by watershed area) was the most important explanatory variable in all models, but additional watershed parameters significantly increased the amount of variability explained by the models. Predicted concentrations from all 10 models were within a factor of 10 of the observed concentrations at most model development and model validation stations. Results for the two sets of seasonal models were similar. Concentration distributions derived from the seasonal-model predictions provided additional information compared to distributions derived from the annual models.","language":"ENGLISH","doi":"10.3133/wri034047","usgsCitation":"Larson, S., Crawford, C.G., and Gilliom, R.J., 2004, Development and Application of Watershed Regressions for Pesticides (WARP) for Estimating Atrazine Concentration Distributions in Streams: U.S. Geological Survey Water-Resources Investigations Report 2003-4047, 81 p., https://doi.org/10.3133/wri034047.","productDescription":"81 p.","costCenters":[],"links":[{"id":174400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5472,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034047/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6672d8","contributors":{"authors":[{"text":"Larson, Steven J.","contributorId":29845,"corporation":false,"usgs":true,"family":"Larson","given":"Steven J.","affiliations":[],"preferred":false,"id":248969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":248968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":248967,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":57956,"text":"ofr20041242 - 2004 - Hawaiian volcano observatory summary 103; Part I, seismic data, January to December 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:12:00","indexId":"ofr20041242","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-1242","title":"Hawaiian volcano observatory summary 103; Part I, seismic data, January to December 2003","docAbstract":"The Hawaiian Volcano Observatory (HVO) summary presents seismic data gathered during the year and a chronological narrative describing the volcanic events. The seismic summary is offered without interpretation as a source of preliminary data. It is complete in the sense that most data for events of M= 1.5 routinely gathered by the Observatory are included. The emphasis in collection of tilt and deformation data has shifted from quarterly measurements at a few water-tube tilt stations ('wet' tilt) to a larger number of continuously recording borehole tiltmeters, repeated measurements at numerous spirit-level tilt stations ('dry' tilt), and surveying of level and trilateration networks. Because of the large quantity of deformation data now gathered and differing schedules of data reduction, the seismic and deformation summaries are published separately. \r\n\r\nThe HVO summaries have been published in various forms since 1956. Summaries prior to 1974 were issued quarterly, but cost, convenience of preparation and distribution, and the large quantities of data dictated an annual publication beginning with Summary 74 for the year 1974. Summary 86 (the introduction of CUSP at HVO) includes a description of the seismic instrumentation, calibration, and processing used in recent years. The present summary includes background information on the seismic network and processing to allow use of the data and to provide an understanding of how they were gathered.","language":"ENGLISH","doi":"10.3133/ofr20041242","usgsCitation":"Nakata, J.S., Heliker, C., Orr, T., and Hoblitt, R., 2004, Hawaiian volcano observatory summary 103; Part I, seismic data, January to December 2003 (Version 1.0): U.S. Geological Survey Open-File Report 2004-1242, 79 p., https://doi.org/10.3133/ofr20041242.","productDescription":"79 p.","costCenters":[],"links":[{"id":182220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5915,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1242/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63eed4","contributors":{"authors":[{"text":"Nakata, Jennifer S.","contributorId":18364,"corporation":false,"usgs":true,"family":"Nakata","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":258005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heliker, C.","contributorId":80314,"corporation":false,"usgs":true,"family":"Heliker","given":"C.","affiliations":[],"preferred":false,"id":258007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":258006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoblitt, R.","contributorId":103738,"corporation":false,"usgs":true,"family":"Hoblitt","given":"R.","affiliations":[],"preferred":false,"id":258008,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":57930,"text":"sir20045130 - 2004 - Simulation of ground-water flow in the Cedar River alluvial aquifer flow system, Cedar Rapids, Iowa","interactions":[],"lastModifiedDate":"2016-02-03T12:20:13","indexId":"sir20045130","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5130","title":"Simulation of ground-water flow in the Cedar River alluvial aquifer flow system, Cedar Rapids, Iowa","docAbstract":"<p>The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa, area. Since 1992, the U.S. Geological Survey, in cooperation with the City of Cedar Rapids, has investigated the hydrogeology and water quality of the Cedar River alluvial aquifer. This report describes a detailed analysis of the ground-water flow system in the alluvial aquifer, particularly near well field areas.</p>\n<p>The ground-water flow system in the Cedar Rapids area consists of two main components, the unconsolidated Quaternary deposits and the underlying carbonate bedrock that has a variable fracture density. Quaternary deposits consist of eolian sand, loess, alluvium, and glacial till. Devonian and Silurian bedrock aquifers overlie the Maquoketa Shale (Formation) of Ordovician age, a regional confining unit.</p>\n<p>Ground-water and surface-water data were collected during the study to better define the hydrogeology of the Cedar River alluvial aquifer and Devonian and Silurian aquifers. Stream stage and discharge, ground-water levels, and estimates of aquifer hydraulic properties were used to develop a conceptual ground-water flow model and to construct and calibrate a model of the flow system. This model was used to quantify the movement of water between the various components of the aluvial aquifer flow system and provide an improved understanding of the hydrology of the alluvial aquifer.</p>\n<p>Ground-water flow was simulated for the Cedar River alluvial aquifer and the Devonian and Silurian aquifers using the three-dimensional finite-difference ground-water flow model MODFLOW. The model was discretized into 223 rows and 354 columns of cells. Areal cell sizes range from about 50 feet on a side near the Cedar River and the Cedar Rapids municipal wells to 1,500 feet on a side near the model boundaries and farthest away from the Cedar Rapids municipal well fields. The model is separated into five layers to account for the various hydrogeologic units in the model area.</p>\n<p>Model results indicate that the primary sources of inflow to the modeled area are infiltration from the Cedar River (53.0 percent) and regional flow in the glacial and bedrock materials (34.1 percent). The primary sources of outflow from the modeled area are discharge to the Cedar River (45.4 percent) and pumpage (44.8 percent). Current steady-state pumping rates have increased the flow of water from the Cedar River to the alluvial aquifer by 43.8 cubic feet per second. Steady-state and transient hypothetical pumpage scenarios were used to show the relation between changes in pumpage and changes in infiltration of water from the Cedar River. Results indicate that more than 99 percent of the water discharging from municipal wells infiltrates from the Cedar River, that the time required for induced river recharge to equilibrate with municipal pumpage may be 150 days or more, and that ground-water availability in the Cedar Rapids area will not be significantly affected by doubling current pumpage as long as there is sufficient flow in the Cedar River to provide recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045130","collaboration":"Prepared in cooperation with the City of Cedar Rapids","usgsCitation":"Turco, M.J., and Buchmiller, R.C., 2004, Simulation of ground-water flow in the Cedar River alluvial aquifer flow system, Cedar Rapids, Iowa: U.S. Geological Survey Scientific Investigations Report 2004-5130, 39 p.; 15 figs.; 9 tables, https://doi.org/10.3133/sir20045130.","productDescription":"39 p.; 15 figs.; 9 tables","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":182151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045130/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","city":"Cedar Rapids","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.71833038330078,\n              42.05031239367958\n            ],\n            [\n              -91.80416107177734,\n              41.99241540282406\n            ],\n            [\n              -91.70459747314452,\n              41.92501515881273\n            ],\n            [\n              -91.6208267211914,\n              41.98297345197973\n            ],\n            [\n              -91.71833038330078,\n              42.05031239367958\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","tableOfContents":"<p>Abstract<br />Introduction<br />&nbsp; &nbsp; &nbsp;Purpose and Scope<br />&nbsp; &nbsp; &nbsp;Description of Study Area<br />&nbsp; &nbsp; &nbsp;Acknowledgments<br />Methods of Investigation<br />&nbsp; &nbsp; &nbsp;Surface-Water Measurements<br />&nbsp; &nbsp; &nbsp;Well Construction and Nomenclature<br />&nbsp; &nbsp; &nbsp;Ground-Water Measurements<br />&nbsp; &nbsp; &nbsp;Aquifer Properties<br />Hydrogeology<br />&nbsp; &nbsp; &nbsp;Geology and Water-Bearing Characteristics<br />&nbsp; &nbsp; &nbsp;Surface Water<br />&nbsp; &nbsp; &nbsp;Ground Water<br />Simulation of Ground-Water Flow<br />&nbsp; &nbsp; &nbsp;Model Description and Boundary Conditions<br />&nbsp; &nbsp; &nbsp;Model Parameters<br />&nbsp; &nbsp; &nbsp;Model Calibration<br />&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Steady-State Calibration<br />&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Transient Calibration<br />&nbsp; &nbsp; &nbsp;Sensitivity Analysis<br />&nbsp; &nbsp; &nbsp;Model Limitations<br />&nbsp; &nbsp; &nbsp;Steady-State Results and Hypothetical Pumping Scenarios<br />&nbsp; &nbsp; &nbsp;Transient Results and Hypothetical Pumping Scenarios<br />Summary<br />References</p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb51a","contributors":{"authors":[{"text":"Turco, Michael J. mjturco@usgs.gov","contributorId":1011,"corporation":false,"usgs":true,"family":"Turco","given":"Michael","email":"mjturco@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":257921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchmiller, Robert C.","contributorId":72372,"corporation":false,"usgs":true,"family":"Buchmiller","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":257922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":57955,"text":"ofr20041234 - 2004 - Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2003","interactions":[],"lastModifiedDate":"2024-07-30T19:15:19.279553","indexId":"ofr20041234","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-1234","title":"Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2003","docAbstract":"<p>The Alaska Volcano Observatory (AVO), a cooperative program of the U.S. Geological Survey, the Geophysical Institute of the University of Alaska Fairbanks, and the Alaska Division of Geological and Geophysical Surveys, has maintained seismic monitoring networks at historically active volcanoes in Alaska since 1988. The primary objectives of this program are the near real time seismic monitoring of active, potentially hazardous, Alaskan volcanoes and the investigation of seismic processes associated with active volcanism. This catalog presents the calculated earthquake hypocenter and phase arrival data, and changes in the seismic monitoring program for the period January 1 through December 31, 2003.</p><p>The AVO seismograph network was used to monitor the seismic activity at twenty-seven volcanoes within Alaska in 2003. These include Mount Wrangell, Mount Spurr, Redoubt Volcano, Iliamna Volcano, Augustine Volcano, Katmai volcanic cluster (Snowy Mountain, Mount Griggs, Mount Katmai, Novarupta, Trident Volcano, Mount Mageik, Mount Martin), Aniakchak Crater, Mount Veniaminof, Pavlof Volcano, Mount Dutton, Isanotski Peaks, Shishaldin Volcano, Fisher Caldera, Westdahl Peak, Akutan Peak, Makushin Volcano, Okmok Caldera, Great Sitkin Volcano, Kanaga Volcano, Tanaga Volcano, and Mount Gareloi. Monitoring highlights in 2003 include: continuing elevated seismicity at Mount Veniaminof in January-April (volcanic unrest began in August 2002), volcanogenic seismic swarms at Shishaldin Volcano throughout the year, and low-level tremor at Okmok Caldera throughout the year. Instrumentation and data acquisition highlights in 2003 were the installation of subnetworks on Tanaga and Gareloi Islands, the installation of broadband installations on Akutan Volcano and Okmok Caldera, and the establishment of telemetry for the Okmok Caldera subnetwork. AVO located 3911 earthquakes in 2003.</p><p>This catalog includes: (1) a description of instruments deployed in the field and their locations; (2) a description of earthquake detection, recording, analysis, and data archival systems; (3) a description of velocity models used for earthquake locations; (4) a summary of earthquakes located in 2003; and (5) an accompanying UNIX tar-file with a summary of earthquake origin times, hypocenters, magnitudes, phase arrival times, and location quality statistics; daily station usage statistics; and all HYPOELLIPSE files used to determine the earthquake locations in 2003.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041234","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., Tytgat, G., Moran, S.C., Sanchez, J.J., McNutt, S.R., Estes, S., and Paskievitch, J., 2004, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2003 (Version 1.0): U.S. Geological Survey Open-File Report 2004-1234, 69 p., https://doi.org/10.3133/ofr20041234.","productDescription":"69 p.","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":431665,"rank":22,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68844.htm","text":"Katmai volcanic cluster","linkFileType":{"id":5,"text":"html"}},{"id":431664,"rank":21,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68849.htm","text":"Unimak Island","linkFileType":{"id":5,"text":"html"}},{"id":431657,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68852.htm","text":"Akutan Peak","linkFileType":{"id":5,"text":"html"}},{"id":431663,"rank":20,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68846.htm","text":"Mount Veniaminof","linkFileType":{"id":5,"text":"html"}},{"id":431662,"rank":19,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68853.htm","text":"Makushin Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431661,"rank":18,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68842.htm","text":"Iliamna Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431660,"rank":17,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68840.htm","text":"Mount Spurr","linkFileType":{"id":5,"text":"html"}},{"id":431659,"rank":16,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68841.htm","text":"Redoubt Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431658,"rank":15,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68854.htm","text":"Okmok Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431656,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68851.htm","text":"Westdahl Peak","linkFileType":{"id":5,"text":"html"}},{"id":431655,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68847.htm","text":"Pavlof Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431654,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68850.htm","text":"Shishaldin Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431653,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68845.htm","text":"Aniakchak crater","linkFileType":{"id":5,"text":"html"}},{"id":431652,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68848.htm","text":"Mount Dutton","linkFileType":{"id":5,"text":"html"}},{"id":431651,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68856.htm","text":"Kanaga Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431650,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68855.htm","text":"Great Sitkin Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431649,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68857.htm","text":"Tanaga Volcano"},{"id":431648,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68858.htm","text":"Gareloi Island Volcano","linkFileType":{"id":5,"text":"html"}},{"id":431647,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68843.htm","text":"Augustine Volcano","linkFileType":{"id":5,"text":"html"}},{"id":182219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20041234.JPG"},{"id":5914,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1234/","linkFileType":{"id":5,"text":"html"}},{"id":431646,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68839.htm","text":"Mount Wrangell","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -178.90136718749997,\n              50.792047064406844\n            ],\n            [\n              -180,\n              52\n            ],\n            [\n              -170.33203125,\n            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jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":257998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D.","contributorId":31373,"corporation":false,"usgs":true,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":257999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":257997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tytgat, Guy","contributorId":71152,"corporation":false,"usgs":true,"family":"Tytgat","given":"Guy","email":"","affiliations":[],"preferred":false,"id":258003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":257996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez, John J.","contributorId":36219,"corporation":false,"usgs":true,"family":"Sanchez","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":258000,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNutt, Stephen R.","contributorId":38133,"corporation":false,"usgs":true,"family":"McNutt","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":258001,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Estes, Steve","contributorId":55881,"corporation":false,"usgs":true,"family":"Estes","given":"Steve","email":"","affiliations":[],"preferred":false,"id":258002,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paskievitch, John","contributorId":74050,"corporation":false,"usgs":true,"family":"Paskievitch","given":"John","affiliations":[],"preferred":false,"id":258004,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":57958,"text":"ofr20041271 - 2004 - Soil data from Picea mariana stands near delta junction, Alaska of different ages and soil drainage type","interactions":[],"lastModifiedDate":"2012-02-02T00:12:00","indexId":"ofr20041271","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-1271","title":"Soil data from Picea mariana stands near delta junction, Alaska of different ages and soil drainage type","docAbstract":"The U.S. Geological Survey project Fate of Carbon in Alaskan Landscapes (FOCAL) is studying the effect of fire and soil drainage on soil carbon storage in the boreal forest. This project has selected several sites to study within central Alaska of varying ages (time since fire) and soil drainage types. This report describes the location of these sampling sites, as well as the procedures used to describe, sample, and analyze the soils. This report also contains data tables with this information, including, but not limited to field descriptions, bulk density, particle size distribution, moisture content, carbon (C) concentration, nitrogen (N) concentration, isotopic data for C, and major, minor and trace elemental concentration.","language":"ENGLISH","doi":"10.3133/ofr20041271","usgsCitation":"Manies, K.L., Harden, J.W., Silva, S.R., Briggs, P.H., and Schmid, B.M., 2004, Soil data from Picea mariana stands near delta junction, Alaska of different ages and soil drainage type (Version 1.0): U.S. Geological Survey Open-File Report 2004-1271, 19 p. report; 13 p. Delta file descriptoins; 8 p. Delta site decriptions; 5 excel files, https://doi.org/10.3133/ofr20041271.","productDescription":"19 p. report; 13 p. Delta file descriptoins; 8 p. Delta site decriptions; 5 excel files","costCenters":[],"links":[{"id":180726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5917,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1271/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49efe4b07f02db5edc14","contributors":{"authors":[{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":258024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":258023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, Steven R. srsilva@usgs.gov","contributorId":3162,"corporation":false,"usgs":true,"family":"Silva","given":"Steven","email":"srsilva@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":258025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Paul H.","contributorId":30973,"corporation":false,"usgs":true,"family":"Briggs","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":258026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmid, Brian M.","contributorId":56716,"corporation":false,"usgs":true,"family":"Schmid","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":258027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":57820,"text":"sir20045087 - 2004 - Regional ground-water-flow models of surficial sand and gravel aquifers along the Mississippi River between Brainerd and St. Cloud, central Minnesota","interactions":[],"lastModifiedDate":"2016-04-08T10:43:08","indexId":"sir20045087","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5087","title":"Regional ground-water-flow models of surficial sand and gravel aquifers along the Mississippi River between Brainerd and St. Cloud, central Minnesota","docAbstract":"<p>This report documents regional ground-waterflow models constructed by the U.S. Geological Survey in cooperation with the Minnesota Department of Health (MDH) to satisfy the requirements of their Source Water Protection Plan (SWPP). Steady-state single-layer ground-water-flow models were constructed with the computer program MODFLOW to simulate flow in surficial sand and gravel aquifers along the Mississippi River between Brainerd and St. Cloud in central Minnesota. The hydrogeologic data that were used to construct the models were compiled from available sources.</p>\n<p>Calibrated values of horizontal hydraulic conductivity and areal recharge for the aquifer in a northern model area were 70 m/d and 3.0x10-4 m/d, respectively. This model was sensitive to net areal recharge, vertical hydraulic conductivity of perennial streambed sediments, and horizontal hydraulic conductivity. The major source of net inflow to the model was from edge boundary cells. The major source of net outflow was ground-water discharge to perennial and ephemeral streams.</p>\n<p>Calibrated values of horizontal hydraulic conductivity and areal recharge for the aquifer in a southern model area were 70 m/d and 6.0x10-4 m/d, respectively. This model was sensitive mostly to horizontal hydraulic conductivity. Net areal recharge and ground-water discharge to perennial streams were the major sources of net inflow and outflow, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045087","usgsCitation":"Ruhl, J.F., and Cowdery, T., 2004, Regional ground-water-flow models of surficial sand and gravel aquifers along the Mississippi River between Brainerd and St. Cloud, central Minnesota: U.S. Geological Survey Scientific Investigations Report 2004-5087, iv, 21 p., https://doi.org/10.3133/sir20045087.","productDescription":"iv, 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20045087.JPG"},{"id":5798,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045087/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","city":"Brainerd, St. Cloud","otherGeospatial":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.53460693359374,\n              46.300457387911614\n            ],\n            [\n              -94.06356811523438,\n              46.30330363797423\n            ],\n            [\n              -94.06494140625,\n              45.916765867649005\n            ],\n            [\n              -94.11712646484375,\n              45.917721261594224\n            ],\n            [\n              -94.11849975585938,\n              45.50345949537662\n            ],\n            [\n              -94.46731567382812,\n              45.50345949537662\n            ],\n            [\n              -94.46731567382812,\n              45.920587344733654\n            ],\n            [\n              -94.53048706054688,\n              45.917721261594224\n            ],\n            [\n              -94.53460693359374,\n              46.300457387911614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63baae","contributors":{"authors":[{"text":"Ruhl, J. F.","contributorId":81866,"corporation":false,"usgs":true,"family":"Ruhl","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":257889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowdery, T.K.","contributorId":92658,"corporation":false,"usgs":true,"family":"Cowdery","given":"T.K.","affiliations":[],"preferred":false,"id":257890,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":56935,"text":"sir20045084 - 2004 - Sources of mercury in sediments, water, and fish of the lakes of Whatcom County, Washington","interactions":[],"lastModifiedDate":"2012-02-02T00:12:20","indexId":"sir20045084","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5084","title":"Sources of mercury in sediments, water, and fish of the lakes of Whatcom County, Washington","docAbstract":"Concerns about mercury (Hg) contamination in Lake Whatcom, Washington, were raised in the late 1990s after a watershed protection survey reported elevated concentrations of Hg in smallmouth bass. The U.S. Geological Survey, the Whatcom County Health Department, and the Washington State Department of Ecology (Ecology) cooperated to develop a study to review existing data and collect new data that would lead to a better understanding of Hg deposition to Lake Whatcom and other lakes in Whatcom County, Washington.\r\n\r\nA simple atmospheric deposition model was developed that allowed comparisons of the deposition of Hg to the surfaces of each lake. Estimates of Hg deposition derived from the model indicated that the most significant deposition of Hg would have occurred to the lakes north of the City of Bellingham. These lakes were in the primary wind pattern of two municipal waste incinerators. Of all the lakes examined, basin 1 of Lake Whatcom would have been most affected by the Hg emissions from the chlor-alkali plant and the municipal sewage-sludge incinerator in the City of Bellingham. The length-adjusted concentrations of Hg in largemouth and smallmouth bass were not related to estimated deposition rates of Hg to the lakes from local atmospheric sources.\r\n\r\nTotal Hg concentrations in the surface sediments of Lake Whatcom are affected by the sedimentation of fine-grained particles, whereas organic carbon regulates the concentration of methyl-Hg in the surface sediments of the lake. Hg concentrations in dated sediment core samples indicate that increases in Hg sedimentation were largest during the first half of the 20th century. Increases in Hg sedimentation were smaller after the chlor-alkali plant and the incinerators began operating between 1964 and 1984. Analysis of sediments recently deposited in basin 1 of Lake Whatcom, Lake Terrell, and Lake Samish indicates a decrease in Hg sedimentation.\r\n\r\nConcentrations of Hg in Seattle precipitation and in tributary waters were used to calculate current (2002-03) loadings of Hg to Lake Whatcom. Hg in tributaries contributed 59 percent of the total Hg, whereas non-local atmospheric deposition was estimated to have contributed 41 percent of the 303 grams of Hg entering Lake Whatcom each year. However, these inputs cannot be verified without a better understanding of the sources of sediment to Lake Whatcom.","language":"ENGLISH","doi":"10.3133/sir20045084","usgsCitation":"Paulson, A.J., 2004, Sources of mercury in sediments, water, and fish of the lakes of Whatcom County, Washington: U.S. Geological Survey Scientific Investigations Report 2004-5084, 111 p., https://doi.org/10.3133/sir20045084.","productDescription":"111 p.","costCenters":[],"links":[{"id":5703,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045084/","linkFileType":{"id":5,"text":"html"}},{"id":184930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e7604","contributors":{"authors":[{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":255940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":57817,"text":"sir20045073 - 2004 - Ground-water and surface-water flow and estimated water budget for Lake Seminole, southwestern Georgia and northwestern Florida","interactions":[],"lastModifiedDate":"2017-01-13T10:07:49","indexId":"sir20045073","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5073","title":"Ground-water and surface-water flow and estimated water budget for Lake Seminole, southwestern Georgia and northwestern Florida","docAbstract":"Lake Seminole is a 37,600-acre impoundment formed at the confluence of the Flint and Chattahoochee Rivers along the Georgia?Florida State line. Outflow from Lake Seminole through Jim Woodruff Lock and Dam provides headwater to the Apalachicola River, which is a major supply of freshwater, nutrients, and detritus to ecosystems downstream. These rivers,together with their tributaries, are hydraulically connected to karst limestone units that constitute most of the Upper Floridan aquifer and to a chemically weathered residuum of undifferentiated overburden. \r\n\r\nThe ground-water flow system near Lake Seminole consists of the Upper Floridan aquifer and undifferentiated overburden. The aquifer is confined below by low-permeability sediments of the Lisbon Formation and, generally, is semiconfined above by undifferentiated overburden. Ground-water flow within the Upper Floridan aquifer is unconfined or semiconfined and discharges at discrete points by springflow or diffuse leakage into streams and other surface-water bodies. The high degree of connectivity between the Upper Floridan aquifer and surface-water bodies is limited to the upper Eocene Ocala Limestone and younger units that are in contact with streams in the Lake Seminole area. The impoundment of Lake Seminole inundated natural stream channels and other low-lying areas near streams and raised the water-level altitude of the Upper Floridan aquifer near the lake to nearly that of the lake, about 77 feet.\r\n\r\nSurface-water inflow from the Chattahoochee and Flint Rivers and Spring Creek and outflow to the Apalachicola River through Jim Woodruff Lock and Dam dominate the water budget for Lake Seminole. About 81 percent of the total water-budget inflow consists of surface water; about 18 percent is ground water, and the remaining 1 percent is lake precipitation. Similarly, lake outflow consists of about 89 percent surface water, as flow to the Apalachicola River through Jim Woodruff Lock and Dam, about 4 percent ground water, and about 2 percent lake evaporation. Measurement error and uncertainty in flux calculations cause a flow imbalance of about 4 percent between inflow and outflow water-budget components. Most of this error can be attributed to errors in estimating ground-water discharge from the lake, which was calculated using a ground-water model calibrated to October 1986 conditions for the entire Apalachicola?Chattahoochee?Flint River Basin and not just the area around Lake Seminole. \r\n\r\nEvaporation rates were determined using the preferred, but mathematically complex, energy budget and five empirical equations: Priestley-Taylor, Penman, DeBruin-Keijman, Papadakis, and the Priestley-Taylor used by the Georgia Automated Environmental Monitoring Network. Empirical equations require a significant amount of data but are relatively easy to calculate and compare well to long-term average annual (April 2000?March 2001) pan evaporation, which is 65 inches. Calculated annual lake evaporation, for the study period, using the energy-budget method was 67.2 inches, which overestimated long-term average annual pan evaporation by 2.2 inches. The empirical equations did not compare well with the energy-budget method during the 18-month study period, with average differences in computed evaporation using each equation ranging from 8 to 26 percent. The empirical equations also compared poorly with long-term average annual pan evaporation, with average differences in evaporation ranging from 3 to 23 percent. Energy budget and long-term average annual pan evaporation estimates did compare well, with only a 3-percent difference between estimates. Monthly evaporation estimates using all methods ranged from 0.7 to 9.5 inches and were lowest during December 2000 and highest during May 2000. Although the energy budget is generally the preferred method, the dominance of surface water in the Lake Seminole water budget makes the method inaccurate and difficult to use, because surface water makes up m","language":"ENGLISH","doi":"10.3133/sir20045073","usgsCitation":"Dalton, M.S., Aulenbach, B.T., and Torak, L.J., 2004, Ground-water and surface-water flow and estimated water budget for Lake Seminole, southwestern Georgia and northwestern Florida (Online Only): U.S. Geological Survey Scientific Investigations Report 2004-5073, 49 p., https://doi.org/10.3133/sir20045073.","productDescription":"49 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":184914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5795,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Lake Seminole","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.484375,\n              28.998531814051795\n            ],\n            [\n              -86.484375,\n              32.731840896865684\n            ],\n            [\n              -83.43017578125,\n              32.731840896865684\n            ],\n            [\n              -83.43017578125,\n              28.998531814051795\n            ],\n            [\n              -86.484375,\n              28.998531814051795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Online Only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d423","contributors":{"authors":[{"text":"Dalton, Melinda S. 0000-0002-2929-5573 msdalton@usgs.gov","orcid":"https://orcid.org/0000-0002-2929-5573","contributorId":267,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda","email":"msdalton@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":257882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":257884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torak, Lynn J. ljtorak@usgs.gov","contributorId":401,"corporation":false,"usgs":true,"family":"Torak","given":"Lynn","email":"ljtorak@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":257883,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":57821,"text":"ofr03428 - 2004 - Map and data for Quaternary faults and folds in Washington state","interactions":[],"lastModifiedDate":"2012-02-10T00:10:17","indexId":"ofr03428","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2003-428","title":"Map and data for Quaternary faults and folds in Washington state","docAbstract":"The map shows faults and folds in Washington State that exhibit evidence of Quaternary deformation and includes data on timing of most recent movement, sense of movement, slip rate, and continuity of surface expression.","language":"ENGLISH","doi":"10.3133/ofr03428","usgsCitation":"Lidke, D.J., Johnson, S.Y., McCrory, P.A., Personius, S.F., Nelson, A.R., Dart, R.L., Bradley, L., Haller, K., and Machette, M., 2004, Map and data for Quaternary faults and folds in Washington state (Version 1.0): U.S. Geological Survey Open-File Report 2003-428, 1 map sheet, 68 x 36 in.; 16 p. pamphlet, https://doi.org/10.3133/ofr03428.","productDescription":"1 map sheet, 68 x 36 in.; 16 p. pamphlet","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":110512,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68830.htm","linkFileType":{"id":5,"text":"html"},"description":"68830"},{"id":184492,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/428/","linkFileType":{"id":5,"text":"html"}},{"id":8049,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2003/428/OFR_03-428_metadata.txt","linkFileType":{"id":2,"text":"txt"}}],"scale":"750000","projection":"Lambert Conformal Conic, Clarke 1866","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126,45 ], [ -126,49 ], [ -116,49 ], [ -116,45 ], [ -126,45 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649909","contributors":{"authors":[{"text":"Lidke, David J. 0000-0003-4668-1617 dlidke@usgs.gov","orcid":"https://orcid.org/0000-0003-4668-1617","contributorId":1211,"corporation":false,"usgs":true,"family":"Lidke","given":"David","email":"dlidke@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":257894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":257897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCrory, Patricia A. 0000-0003-2471-0018 pmccrory@usgs.gov","orcid":"https://orcid.org/0000-0003-2471-0018","contributorId":2728,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","email":"pmccrory@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":257898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":257895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":257891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":257893,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradley, Lee-Ann bradley@usgs.gov","contributorId":1141,"corporation":false,"usgs":true,"family":"Bradley","given":"Lee-Ann","email":"bradley@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":257892,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haller, Kathleen M. haller@usgs.gov","contributorId":1331,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen M.","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":257896,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":257899,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":55717,"text":"sir20045095 - 2004 - Evaluation of Streamflow Losses Along the Gunnison River from Whitewater Downstream to the Redlands Canal Diversion Dam, near Grand Junction, Colorado, Water Years 1995-2003","interactions":[],"lastModifiedDate":"2012-02-02T00:11:48","indexId":"sir20045095","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5095","title":"Evaluation of Streamflow Losses Along the Gunnison River from Whitewater Downstream to the Redlands Canal Diversion Dam, near Grand Junction, Colorado, Water Years 1995-2003","docAbstract":"In 2003, the U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, Upper Colorado River Endangered Fish Recovery Program, Colorado River Water Conservation District, Colorado Division of Water Resources, and Bureau of Reclamation, initiated a study to characterize streamflow losses along a reach of the Gunnison River from the town of Whitewater downstream to the Redlands Canal diversion dam. This describes the methods and results of the study that include: (1) a detailed mass-balance analysis of historical discharge records that were available for the three streamflow-gaging stations along the study reach; and (2) two sets of discharge measurements that were made at the three stations and at four additional locations. \r\n\r\nData for these existing streamflow-gaging stations were compiled and analyzed: (1) Gunnison River near Grand Junction (Whitewater station); (2) Gunnison River below Redlands Canal diversion dam (below-Redlands-dam station); and (3) Redlands Canal near Grand Junction (Redlands-Canal station). Data for water years 1995-2003 were used for the mass-balance analysis. Four intermediate sites (M1, M2, M3, and M4) were selected for discharge measurements in addition to the existing stations. The study reach is the approximate 12-mile reach of the Gunnison River from the Whitewater station downstream to the Redlands Canal diversion dam, which is about 3 miles upstream from the confluence with the Colorado River. \r\n\r\nFor the mass-balance analysis, differences between the sum of the annual cumulative daily mean discharge at the two downstream stations and the annual cumulative daily mean discharges at the upstream station ranged from about -8,700 to -69,800 acre-feet (about -.8 to -1.1 percent), indicating that the downstream discharges generally were less than the upstream discharges. Moving 3-day daily mean discharge averages also were computed for each of the three stations to smooth out some of the abrupt differences between the downstream and upstream daily mean discharges. During water years 1995-2002, differences between the downstream and upstream moving 3-day daily mean discharges ranged from about -200 to +100 cubic feet per second (ft3/s) during one-half of each year, but the differences had absolute values as large as about 500 to 1,000 ft3/s during the other one-half of the year. The differences as a percentage of the upstream discharge ranged from 0 to -10 percent within the interquartile range and were as small or large as about -60 to +50. \r\n\r\nTwo sets of discharge measurements were obtained during water year 2003. For measurement set 1 (February 5-6), discharge was measured 5-8 times over a 24-hour period at sites M1-M4, where measured discharges ranged from 527 to 608 ft3/s. Discharge was measured once each day at the Whitewater and below-Redlands-dam stations to verify discharge rating shifts; the Redlands Canal was not in operation at this time, so measurements were not needed at the Redlands-Canal station. Recorded 15-minute (unit) discharges ranged from about 575 to 615 ft3/s at the Whitewater station and from about 560 to 600 ft3/s at the below-Redlands-dam station during the February 5-6 period. Because of the inherent error in discharge measurements (5 percent for measurements rated good), and because the mean discharge at the below-Redlands-dam station, about 580 ft3/s, was only about 2.5 percent smaller than the mean discharge at the Whitewater station, about 595 ft3/s, it is concluded that there was no measurable streamflow loss along the study reach during measurement set 1. \r\n\r\nFor measurement set 2 (May 14-15), discharge in the Gunnison River was about 2,000 ft3/s and increasing because of high-elevation snowmelt. Five discharge measurements were made at site M2 and discharge ranged from 1,668 to 2,117 ft3/s. Measured discharges at the gaging stations were 2,730 ft3/s at the Whitewater station, 1,268 ft3/s at the below-Redlands-dam station, and 819 ft3/s at the","language":"ENGLISH","doi":"10.3133/sir20045095","usgsCitation":"Kuhn, G., and Williams, C.A., 2004, Evaluation of Streamflow Losses Along the Gunnison River from Whitewater Downstream to the Redlands Canal Diversion Dam, near Grand Junction, Colorado, Water Years 1995-2003: U.S. Geological Survey Scientific Investigations Report 2004-5095, 22 p., 12 figs., https://doi.org/10.3133/sir20045095.","productDescription":"22 p., 12 figs.","costCenters":[],"links":[{"id":5654,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5095/","linkFileType":{"id":5,"text":"html"}},{"id":174080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ffe4b07f02db5f79ab","contributors":{"authors":[{"text":"Kuhn, Gerhard","contributorId":102080,"corporation":false,"usgs":true,"family":"Kuhn","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":254105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":254104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":57865,"text":"sir20045172 - 2004 - Investigation of hydroacoustic flow-monitoring alternatives at the Sacramento River at Freeport, California: results of the 2002-2004 pilot study","interactions":[],"lastModifiedDate":"2012-02-02T00:12:02","indexId":"sir20045172","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5172","title":"Investigation of hydroacoustic flow-monitoring alternatives at the Sacramento River at Freeport, California: results of the 2002-2004 pilot study","docAbstract":"The Sacramento River at Freeport is a tidally affected channel approximately 620 feet wide located at the northern boundary of the Sacramento?San Joaquin River Delta, California. In 1978, an acoustic velocity meter was installed at Freeport to monitor the flow. The acoustic velocity meter was calibrated successfully and has been used continuously since that time. Although the calibration has been extremely stable, an increasing number of maintenance problems prompted a search for alternatives to monitor discharge at this location. Two sideward-looking acoustic Doppler velocity meters were tested in a pilot study from 2002-2004: a short-range system and a long-range system. The pilot study was conducted over a wide range of hydrologic conditions and both sideward-l-ooking acoustic Doppler velocity meters have performed well at this location and have been calibrated successfully. As of February 2004, the short-range system had a robust calibration and a higher data-recovery rate, therefore, it was selected as the primary replacement of the acoustic velocity meter, with the long-range system providing real-time data redundancy to minimize data loss.","language":"ENGLISH","doi":"10.3133/sir20045172","usgsCitation":"Ruhl, C., and DeRose, J.B., 2004, Investigation of hydroacoustic flow-monitoring alternatives at the Sacramento River at Freeport, California: results of the 2002-2004 pilot study: U.S. Geological Survey Scientific Investigations Report 2004-5172, 25 p., https://doi.org/10.3133/sir20045172.","productDescription":"25 p.","costCenters":[],"links":[{"id":182143,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5803,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5172/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47dae4b07f02db4b64c2","contributors":{"authors":[{"text":"Ruhl, Catherine A. 0000-0002-7989-8815","orcid":"https://orcid.org/0000-0002-7989-8815","contributorId":53414,"corporation":false,"usgs":true,"family":"Ruhl","given":"Catherine A.","affiliations":[],"preferred":false,"id":257903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeRose, James B.","contributorId":45780,"corporation":false,"usgs":true,"family":"DeRose","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":257902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":54257,"text":"sir20045005 - 2004 - Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002","interactions":[],"lastModifiedDate":"2017-08-22T14:22:41","indexId":"sir20045005","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5005","title":"Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002","docAbstract":"Executive Summary -- The historically significant wildland fire events that occurred in the United States during 2000 and 2002, together with the associated recognition of the need for a different national policy of forest management, has led to an increased awareness of the need for cooperative effort among all Federal agencies in planning for and managing the risks and consequences of wildland fire. The expertise and capabilities of the U.S. Geological Survey (USGS) are significant resources in this regard, and the agency is becoming increasingly involved in fire-science activities in support of the various land-management agencies that are dealing directly with this issue.\r\n\r\nThe First USGS Wildland Fire Workshop was held in Sioux Falls, South Dakota, in 1997 and helped to establish the direction of USGS in sharing its expertise with the fire-management agencies. The Second USGS Wildland Fire Workshop was held in Los Alamos, New Mexico, in 2000 and brought together all the agencies involved in the management of wildland fires in order to determine their needs, to demonstrate USGS capabilities to meet those needs, and to establish methods for the USGS to distribute data and tools useful in fire management. It enhanced the relationships developed during the 1997 workshop and helped to define USGS' role in the fire-management community.\r\n\r\nThe Third USGS Wildland Fire-Science Workshop, held in Denver, Colorado, November 12?15, 2002, was an opportunity for exchange of information on recent progress in the area of fire science and to determine the gaps in fire-science research that could be addressed by the USGS. In addition to more than 90 USGS scientists engaged in fire-related research and managers of organizational units involved in some aspect of wildland fire activities, the workshop was attended by about 30 representatives of 11 other Federal agencies. There also were a number of attendees affiliated with several universities, private companies, and State and local agencies.\r\n\r\nThe 4-day meeting consisted of a pre-workshop field trip to the Hayman Fire area, several keynote presentations, five panel discussions, presentation and 'breakout' discussion of four 'white paper' topics, and a poster session with more than 30 presentations.","language":"ENGLISH","doi":"10.3133/sir20045005","usgsCitation":"Livingston, R.K., 2004, Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002: U.S. Geological Survey Scientific Investigations Report 2004-5005, vii, 67 p. : col. ill. ; 28 cm., https://doi.org/10.3133/sir20045005.","productDescription":"vii, 67 p. : col. ill. ; 28 cm.","costCenters":[],"links":[{"id":345026,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5055/SIR2004-5055.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":345027,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":345028,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":5370,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045005/","linkFileType":{"id":5,"text":"html"}},{"id":174582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":345029,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate3.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d69","contributors":{"authors":[{"text":"Livingston, Russell K.","contributorId":69582,"corporation":false,"usgs":true,"family":"Livingston","given":"Russell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":249682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":57775,"text":"sir20045094 - 2004 - Analysis of phosphorus trends and evaluation of sampling designs in the Quinebaug River Basin, Connecticut","interactions":[],"lastModifiedDate":"2012-02-02T00:12:02","indexId":"sir20045094","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5094","title":"Analysis of phosphorus trends and evaluation of sampling designs in the Quinebaug River Basin, Connecticut","docAbstract":"A time-series analysis approach developed by the U.S. Geological Survey was used to analyze trends in total phosphorus and evaluate optimal sampling designs for future trend detection, using long-term data for two water-quality monitoring stations on the Quinebaug River in eastern Connecticut. Trend-analysis results for selected periods of record during 1971?2001 indicate that concentrations of total phosphorus in the Quinebaug River have varied over time, but have decreased significantly since the 1970s and 1980s. Total phosphorus concentrations at both stations increased in the late 1990s and early 2000s, but were still substantially lower than historical levels. Drainage areas for both stations are primarily forested, but water quality at both stations is affected by point discharges from municipal wastewater-treatment facilities. \r\n\r\nVarious designs with sampling frequencies ranging from 4 to 11 samples per year were compared to the trend-detection power of the monthly (12-sample) design to determine the most efficient configuration of months to sample for a given annual sampling frequency. Results from this evaluation indicate that the current (2004) 8-sample schedule for the two Quinebaug stations, with monthly sampling from May to September and bimonthly sampling for the remainder of the year, is not the most efficient 8-sample design for future detection of trends in total phosphorus. Optimal sampling schedules for the two stations differ, but in both cases, trend-detection power generally is greater among 8-sample designs that include monthly sampling in fall and winter. Sampling designs with fewer than 8 samples per year generally provide a low level of probability for detection of trends in total phosphorus. \r\n\r\nManagers may determine an acceptable level of probability for trend detection within the context of the multiple objectives of the state?s water-quality management program and the scientific understanding of the watersheds in question. Managers may identify a threshold of probability for trend detection that is high enough to justify the agency?s investment in the water-quality sampling program. Results from an analysis of optimal sampling designs can provide an important component of information for the decision-making process in which sampling schedules are periodically reviewed and revised.\r\n\r\nResults from the study described in this report and previous studies indicate that optimal sampling schedules for trend detection may differ substantially for different stations and constituents. A more comprehensive statewide evaluation of sampling schedules for key stations and constituents could provide useful information for any redesign of the schedule for water-quality monitoring in the Quinebaug River Basin and elsewhere in the state.","language":"ENGLISH","doi":"10.3133/sir20045094","usgsCitation":"Todd Trench, E.C., 2004, Analysis of phosphorus trends and evaluation of sampling designs in the Quinebaug River Basin, Connecticut: U.S. Geological Survey Scientific Investigations Report 2004-5094, 24 p., https://doi.org/10.3133/sir20045094.","productDescription":"24 p.","costCenters":[],"links":[{"id":5733,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5094/","linkFileType":{"id":5,"text":"html"}},{"id":182065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db6802eb","contributors":{"authors":[{"text":"Todd Trench, Elaine C.","contributorId":88031,"corporation":false,"usgs":true,"family":"Todd Trench","given":"Elaine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":257764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":57753,"text":"sir20045034 - 2004 - External quality-assurance results for the national atmospheric deposition program/national trends network, 2000-2001","interactions":[],"lastModifiedDate":"2012-02-02T00:12:33","indexId":"sir20045034","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5034","title":"External quality-assurance results for the national atmospheric deposition program/national trends network, 2000-2001","docAbstract":"Five external quality-assurance programs were operated by the U.S. Geological Survey for the National Atmospheric Deposition Program/National Trends Network (NADP/NTN) from 2000 through 2001 (study period): the intersite-comparison program, the blind-audit program, the field-audit program, the interlaboratory-comparison program, and the collocated-sampler program. Each program is designed to measure specific components of the total error inherent in NADP/NTN wet-deposition measurements. \r\n\r\nThe intersite-comparison program assesses the variability and bias of pH and specific-conductance determinations made by NADP/NTN site operators with respect to accuracy goals. The accuracy goals are statistically based using the median of all of the measurements obtained for each of four intersite-comparison studies. The percentage of site operators responding on time that met the pH accuracy goals ranged from 84.2 to 90.5 percent. In these same four intersite-comparison studies, 88.9 to 99.0 percent of the site operators met the accuracy goals for specific conductance. \r\n\r\nThe blind-audit program evaluates the effects of routine sample handling, processing, and shipping on the chemistry of weekly precipitation samples. The blind-audit data for the study period indicate that sample handling introduced a small amount of sulfate contamination and slight changes to hydrogen-ion content of the precipitation samples. The magnitudes of the paired differences are not environmentally significant to NADP/NTN data users. \r\n\r\nThe field-audit program (also known as the 'field-blank program') was designed to measure the effects of field exposure, handling, and processing on the chemistry of NADP/NTN precipitation samples. The results indicate potential low-level contamination of NADP/NTN samples with calcium, ammonium, chloride, and nitrate. Less sodium contamination was detected by the field-audit data than in previous years. Statistical analysis of the paired differences shows that contaminant ions are entrained into the solutions from the field-exposed buckets, but the positive bias that results from the minor amount of contamination appears to affect the analytical results by less than 6 percent. \r\n\r\nAn interlaboratory-comparison program is used to estimate the analytical variability and bias of participating laboratories, especially the NADP Central Analytical Laboratory (CAL). Statistical comparison of the analytical results of participating laboratories implies that analytical data from the various monitoring networks can be compared. Bias was identified in the CAL data for ammonium, chloride, nitrate, sulfate, hydrogen-ion, and specific-conductance measurements, but the absolute value of the bias was less than analytical minimum reporting limits for all constituents except ammonium and sulfate. Control charts show brief time periods when the CAL's analytical precision for sodium, ammonium, and chloride was not within the control limits. Data for the analysis of ultrapure deionized-water samples indicated that the laboratories are maintaining good control of laboratory contamination. Estimated analytical precision among the laboratories indicates that the magnitudes of chemical-analysis errors are not environmentally significant to NADP data users. \r\n\r\nOverall precision of the precipitation-monitoring system used by the NADP/NTN was estimated by evaluation of samples from collocated monitoring sites at CA99, CO08, and NH02. Precision defined by the median of the absolute percent difference (MAE) was estimated to be approximately 10 percent or less for calcium, magnesium, sodium, chloride, nitrate, sulfate, specific conductance, and sample volume. The MAE values for ammonium and hydrogen-ion concentrations were estimated to be less than 10 percent for CA99 and NH02 but nearly 20 percent for ammonium concentration and about 17 percent for hydrogen-ion concentration for CO08. \r\n\r\nAs in past years, the variability in the collocated-site data for sam","language":"ENGLISH","doi":"10.3133/sir20045034","usgsCitation":"Wetherbee, G.A., Latysh, N.E., and Gordon, J.D., 2004, External quality-assurance results for the national atmospheric deposition program/national trends network, 2000-2001: U.S. Geological Survey Scientific Investigations Report 2004-5034, 68 p., https://doi.org/10.3133/sir20045034.","productDescription":"68 p.","costCenters":[],"links":[{"id":5996,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045034/","linkFileType":{"id":5,"text":"html"}},{"id":182575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f8a27","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":257698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":257699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, John D. 0000-0001-8396-8524 jgordon@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-8524","contributorId":347,"corporation":false,"usgs":true,"family":"Gordon","given":"John","email":"jgordon@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":257697,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":54144,"text":"wri034300 - 2004 - Water use, ground-water recharge and availability, and quality of water in the Greenwich area, Fairfield County, Connecticut and Westchester County, New York, 2000-2002","interactions":[],"lastModifiedDate":"2017-08-15T11:32:04","indexId":"wri034300","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2003-4300","title":"Water use, ground-water recharge and availability, and quality of water in the Greenwich area, Fairfield County, Connecticut and Westchester County, New York, 2000-2002","docAbstract":"<p>Ground-water budgets were developed for 32 small basin-based zones in the Greenwich area of southwestern Connecticut, where crystalline-bedrock aquifers supply private wells, to determine the status of residential ground-water consumption relative to rates of ground-water recharge and discharge. Estimated residential ground-water withdrawals for small basins (averaging 1.7 square miles (mi<sup>2</sup>)) ranged from 0 to 0.16 million gallons per day per square mile (Mgal/d/mi<sup>2</sup>). To develop these budgets, residential ground-water withdrawals were estimated using multiple-linear regression models that relate water use from public water supply to data on residential property characteristics. Average daily water use of households with public water supply ranged from 219 to 1,082 gallons per day (gal/d). </p><p>A steady-state finite-difference ground-water- flow model was developed to track water budgets, and to estimate optimal values for hydraulic conductivity of the bedrock (0.05 feet per day) and recharge to the overlying till deposits (6.9 inches) using nonlinear regression. Estimated recharge rates to the small basins ranged from 3.6 to 7.5 inches per year (in/yr) and relate to the percentage of the basin underlain by coarse- grained glacial stratified deposits. Recharge was not applied to impervious areas to account for the effects of urbanization. Net residential ground-water consumption was estimated as ground-water withdrawals increased during the growing season, and ranged from 0 to 0.9 in/yr. </p><p>Long-term average stream base flows simulated by the ground-water-flow model were compared to calculated values of average base flow and low flow to determine if base flow was substantially reduced in any of the basins studied. Three of the 32 basins studied had simulated base flows less than 3 in/yr, as a result of either ground-water withdrawals or reduced recharge due to urbanization. A water-availability criteria of the difference between the 30-day 2-year low flow and the recharge rate for each basin was explored as a method to rate the status of water consumption in each basin. Water consumption ranged from 0 to 14.3 percent of available water based on this criteria for the 32 basins studied. </p><p>Base-flow water quality was related to the amount of urbanized area in each basin sampled. Concentrations of total nitrogen and phosphorus, chloride, indicator bacteria, and the number of pesticide detections increased with basin urbanization, which ranged from 18 to 63 percent of basin area.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034300","collaboration":"Prepared in cooperation with the town of Greenwich, Connecticut","usgsCitation":"Mullaney, J.R., 2004, Water use, ground-water recharge and availability, and quality of water in the Greenwich area, Fairfield County, Connecticut and Westchester County, New York, 2000-2002: U.S. Geological Survey Water-Resources Investigations Report 2003-4300, vi, 64 p., https://doi.org/10.3133/wri034300.","productDescription":"vi, 64 p.","costCenters":[],"links":[{"id":181453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":344857,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri034300/GreenwichCT03-4300.pdf","text":"Report","size":"2.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":5590,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri034300/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Connecticut, New York","county":"Fairfield County, Westchester County","otherGeospatial":"Greenwich area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.75,\n              40.9\n            ],\n            [\n              -73.5,\n              40.9\n            ],\n            [\n              -73.5,\n              41.2\n            ],\n            [\n              -73.75,\n              41.2\n            ],\n            [\n              -73.75,\n              40.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a1e4b07f02db5be166","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249321,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156734,"text":"70156734 - 2004 - The National Atlas of the United States now on the Web and in print","interactions":[],"lastModifiedDate":"2017-03-29T11:06:58","indexId":"70156734","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":613,"text":"ACSM Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The National Atlas of the United States now on the Web and in print","docAbstract":"<p>The National Atlas of the United States of America<sup>®</sup> was published in 1970 as a book, with more than 400 pages and 765 maps. Since then, many people have called for a new edition, and many maps have been published as single sheets using the classic National Atlas 1:7,500,000-scale format. Work began in 1997 on a new, web-based edition of the National Atlas of the United States<sup>®</sup>. Accessible at http://nationalatlas.gov, the new atlas features an interactive mapmaker with more than 1,000 data layers. Developed as a coordinated package of dynamic webbased map products and services, and printed and printable maps for selected themes, the National Atlas of the United States of America<sup>®</sup> has grown beyond a book. Yet, the cartographer’s fundamental job remains the same as it was in 1970—to translate national-level geographic data into an understandable view of the nation.</p>","language":"English","publisher":"American Congress of Surveying and Mapping","usgsCitation":"Hutchinson, J.A., 2004, The National Atlas of the United States now on the Web and in print: ACSM Bulletin, v. Sept/Oct, p. 12-22.","productDescription":"11 p.","startPage":"12","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Sept/Oct","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034c3e4b0f42e3d040e4e","contributors":{"authors":[{"text":"Hutchinson, John A. 0000-0002-9595-5648 hutch@usgs.gov","orcid":"https://orcid.org/0000-0002-9595-5648","contributorId":4466,"corporation":false,"usgs":true,"family":"Hutchinson","given":"John","email":"hutch@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570307,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":56324,"text":"ofr20041219 - 2004 - Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2002","interactions":[],"lastModifiedDate":"2016-07-26T16:31:10","indexId":"ofr20041219","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-1219","title":"Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2002","docAbstract":"<p>Suspended-sediment concentration data were collected in San Francisco Bay during water year 2002 (October 1, 2001-September 30, 2002). Optical backscatterance sensors and water samples were used to monitor suspended sediment at two sites in Suisun Bay, three sites in San Pablo Bay, two sites in Central San Francisco Bay, and three sites in South San Francisco Bay. Sensors were positioned at two depths at most sites. Water samples were collected periodically and were analyzed for concentrations of suspended sediment. The results of the analyses were used to calibrate the electrical output of the optical backscatterance sensors so that a record of suspended-sediment concentrations could be derived. This report presents the data-collection methods used and summarizes the suspended-sediment concentration data collected from October 2001 through September 2002. Calibration curves and plots of edited data for each sensor also are presented.</p>","language":"ENGLISH","doi":"10.3133/ofr20041219","usgsCitation":"Buchanan, P.A., and Ganju, N., 2004, Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2002: U.S. Geological Survey Open-File Report 2004-1219, 54 p., https://doi.org/10.3133/ofr20041219.","productDescription":"54 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":184840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5700,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr2004-1219/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699486","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":255232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":255233,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":54268,"text":"sir20045081 - 2004 - Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California","interactions":[],"lastModifiedDate":"2025-05-14T15:11:22.240797","indexId":"sir20045081","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5081","displayTitle":"Regional Water Table (2002) and Water-Level Changes in the Mojave River and Morongo Ground-Water Basins, Southwestern Mojave Desert, California","title":"Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California","docAbstract":"The Mojave River and Morongo ground-water basins are in the southwestern part of the Mojave Desert in southern California. Ground water from these basins supplies a major part of the water requirements for the region. The continuous population growth in this area has resulted in ever-increasing demands on local ground-water resources. The collection and interpretation of ground-water data helps local water districts, military bases, and private citizens gain a better understanding of the ground-water flow systems, and consequently, water availability. \r\n\r\n    During 2002, the U.S. Geological Survey and other agencies made approximately 2,500 water-level measurements in the Mojave River and Morongo ground-water basins. These data document recent conditions and, when compared with previous data, changes in ground-water levels. A water-level contour map was drawn using data from about 600 wells, providing coverage for most of the basins. Twenty-eight hydrographs show long-term (up to 70 years) water-level conditions throughout the basins, and 9 short-term (1997 to 2002) hydrographs show the effects of recharge and discharge along the Mojave River. In addition, a water-level-change map was compiled to compare 2000 and 2002 water levels throughout the basins.\r\n\r\n    In the Mojave River ground-water basin, about 66 percent of the wells had water-level declines of 0.5 ft or more since 2000 and about 27 percent of the wells had water-level declines greater than 5 ft. The only area that had water-level increases greater than 5 ft that were not attributed to fluctuations in nearby pumpage was in the Harper Lake (dry) area where there has been a significant reduction in pumpage during the last decade. In the Morongo ground-water basin, about 36 percent of the wells had water-level declines of 0.5 ft or more and about 10 percent of the wells had water-level declines greater than 5 ft. Water-level increases greater than 5 ft were measured only in the Warren subbasin, where artificial-recharge operations have caused water levels to rise almost 60 ft since 2000.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045081","usgsCitation":"Smith, G.A., Stamos, C., and Predmore, S.K., 2004, Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2004-5081, 16 p., https://doi.org/10.3133/sir20045081.","productDescription":"16 p.","costCenters":[],"links":[{"id":178035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5380,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5081/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6350ba","contributors":{"authors":[{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":249705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamos, Christina L. 0000-0002-1007-9352","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":19593,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina L.","affiliations":[],"preferred":false,"id":249706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predmore, Steven K. spredmor@usgs.gov","contributorId":1512,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","email":"spredmor@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":249704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53854,"text":"sir20045036 - 2004 - Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001","interactions":[],"lastModifiedDate":"2012-02-02T00:11:43","indexId":"sir20045036","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5036","title":"Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001","docAbstract":"The primary purpose of this report is to present all chemical data from the Salton Sea area collected by the U.S. Geological Survey between 1995 and 2001. The data were collected primarily for the Department of the Interior's National Irrigation Water Quality Program (NIWQP). The report also contains a brief summary and citation to investigations done for the NIWQP between 1992 and 1995. The NIWQP began studies in the Salton Sea area in 1986 to evaluate effects on the environment from potential toxins, especially selenium, in irrigation-induced drainage. This data report is a companion to several reports published from the earlier studies and to interpretive publications that make use of historical and recent data from this area.\r\n\r\n    Data reported herein are from five collection studies. Water, bottom material, and suspended sediment collected in 1995-96 from the New River, the lower Colorado River, and the All-American Canal were analyzed for elements, semi-volatile (extractable) organic compounds, and organochlorine compounds. Sufficient suspended sediment for chemical analyses was obtained by tangential-flow filtration.\r\n    A grab sample of surficial bottom sediment collected from near the deepest part of the Salton Sea in 1996 was analyzed for 44 elements and organic and inorganic carbon. High selenium concentration confirmed the effective transfer (sequestration) of selenium into the bottom sediment. Similar grab samples were collected 2 years later (1998) from 11 locations in the Salton Sea and analyzed for elements, as before, and also for nutrients, organochlorine compounds, and polycyclic aromatic hydrocarbons. Nutrients were measured in bottom water, and water-column profiles were obtained for pH, conductance, temperature, and dissolved oxygen. Element and nutrient concentrations were obtained in 1999 from cores at 2 of the above 11 sites, in the north subbasin of the Salton Sea. The most-recent study reported herein was done in 2001 and contains element data on suspended material isolated by continuous-flow centrifugation on samples collected in transects extending out from the Whitewater, the Alamo, and the New Rivers into the Salton Sea. \r\n\r\n    Chemical data on suspended sediment and bottom material from tributory rivers and the Salton Sea itself show that many insoluble constituents, including selenium and DDE, are concentrated in the fine-grained, organic- and carbonate-rich bottom sediment from deep areas near the center of the Salton Sea. Data also show that selenium and arsenic are markedly enriched in seston (plankton, partially-degraded algal detritus, and mineral matter that compose suspended particulates in the lake) collected just below the water surface in the Salton Sea. This result indicates that bio-concentration in primary producers in the water column provides an important pathway whereby high selenium residues accumulate in fish and fish-eating birds at the Salton Sea.","language":"ENGLISH","doi":"10.3133/sir20045036","usgsCitation":"Schroeder, R.A., 2004, Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001: U.S. Geological Survey Scientific Investigations Report 2004-5036, 54 p., https://doi.org/10.3133/sir20045036.","productDescription":"54 p.","costCenters":[],"links":[{"id":4688,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5036/","linkFileType":{"id":5,"text":"html"}},{"id":177760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4bdd","contributors":{"authors":[{"text":"Schroeder, Roy A. raschroe@usgs.gov","contributorId":1523,"corporation":false,"usgs":true,"family":"Schroeder","given":"Roy","email":"raschroe@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":248500,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":57800,"text":"b2206A - 2004 - The Talara Basin province of northwestern Peru: cretaceous-tertiary total petroleum system","interactions":[],"lastModifiedDate":"2018-01-08T13:18:25","indexId":"b2206A","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2206","chapter":"A","title":"The Talara Basin province of northwestern Peru: cretaceous-tertiary total petroleum system","docAbstract":"More than 1.68 billion barrels of oil (BBO) and 340 billion cubic feet of gas (BCFG) have been produced from the Cretaceous-Tertiary Total Petroleum System in the Talara Basin province, northwestern Peru. Oil and minor gas fields are concentrated in the onshore northern third of the province. Current production is primarily oil, but there is excellent potential for offshore gas resources, which is a mostly untapped resource because of the limited local market for gas and because there are few pipelines. Estimated mean recoverable resources from undiscovered fields in the basin are 1.71 billion barrels of oil (BBO), 4.79 trillion cubic feet of gas (TCFG), and 255 million barrels of natural gas liquids (NGL). Of this total resource, 15 percent has been allocated to onshore and 85 percent to offshore; volumes are 0.26 BBO and 0.72 TCFG onshore, and 1.45 BBO and 4.08 TCFG offshore. The mean estimate of numbers of undiscovered oil and gas fields is 83 and 27, respectively. Minimum size of fields that were used in this analysis is 1 million barrels of oil equivalent and (or) 6 BCFG.\r\nThe Paleocene Talara forearc basin is superimposed on a larger, Mesozoic and pre-Mesozoic basin. Producing formations, ranging in age from Pennsylvanian to Oligocene, are mainly Upper Cretaceous through Oligocene sandstones of fluvial, deltaic, and nearshore to deep-marine depositional origins. The primary reservoirs and greatest potential for future development are Eocene sandstones that include turbidites of the Talara and Salinas Groups. Additional production and undiscovered resources exist within Upper Cretaceous, Paleocene, and Oligocene formations. Pennsylvanian Amotape quartzites may be productive where fractured. Trap types in this block-faulted basin are mainly structural or a combination of structure and stratigraphy. Primary reservoir seals are interbedded and overlying marine shales.\r\nMost fields produce from multiple reservoirs, and production is reported commingled. For this reason, and also because geochemical data on oils and source rocks is very limited, Tertiary and Cretaceous production is grouped into one total petroleum system. The most likely source rocks are Tertiary marine shales, but some of the Cretaceous marine shales are also probable source rocks, and these would represent separate total petroleum systems. Geochemical data on one oil sample from Pennsylvanian rock indicates that it was probably also sourced from Tertiary shales.","language":"ENGLISH","doi":"10.3133/b2206A","usgsCitation":"Higley, D.K., 2004, The Talara Basin province of northwestern Peru: cretaceous-tertiary total petroleum system (Version 1.0): U.S. Geological Survey Bulletin 2206, 28 p., https://doi.org/10.3133/b2206A.","productDescription":"28 p.","costCenters":[],"links":[{"id":183948,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5760,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/2206/A/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db668a91","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":257826,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":69797,"text":"sim2847 - 2004 - Geologic map of the Hasty Quadrangle, Boone and Newton Counties, Arkansas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:25","indexId":"sim2847","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2847","title":"Geologic map of the Hasty Quadrangle, Boone and Newton Counties, Arkansas","docAbstract":"This digital geologic map compilation presents new polygon (for example, geologic map unit contacts), line (for example, fault, fold axis, and structure contour), and point (for example, structural attitude, contact elevations) vector data for the Hasty 7.5-minute quadrangle in northern Arkansas.  The map database, which is at 1:24,000-scale resolution, provides geologic coverage of an area of current hydrogeologic, tectonic, and stratigraphic interest.  The Hasty quadrangle is located in northern Newton and southern Boone Counties about 20 km south of the town of Harrison.  The map area is underlain by sedimentary rocks of Ordovician, Mississippian, and Pennsylvanian age that were mildly deformed by a series of normal and strike-slip faults and folds.  The area is representative of the stratigraphic and structural setting of the southern Ozark Dome.  The Hasty quadrangle map provides new geologic information for better understanding groundwater flow paths in and adjacent to the Buffalo River watershed.","language":"ENGLISH","doi":"10.3133/sim2847","usgsCitation":"Hudson, M., and Murray, K., 2004, Geologic map of the Hasty Quadrangle, Boone and Newton Counties, Arkansas (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2847, 1 sheet, 44 by 34 inches, https://doi.org/10.3133/sim2847.","productDescription":"1 sheet, 44 by 34 inches","costCenters":[],"links":[{"id":110508,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68727.htm","linkFileType":{"id":5,"text":"html"},"description":"68727"},{"id":187632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6421,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2004/2847/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.11749999999999,36 ], [ -93.11749999999999,36.1175 ], [ -93,36.1175 ], [ -93,36 ], [ -93.11749999999999,36 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db69786a","contributors":{"authors":[{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":281273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Kyle E.","contributorId":31825,"corporation":false,"usgs":true,"family":"Murray","given":"Kyle E.","affiliations":[],"preferred":false,"id":281274,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":55625,"text":"sir20045097 - 2004 - Changes in Rice Pesticide Use and Surface Water Concentrations in the Sacramento River Watershed, California","interactions":[],"lastModifiedDate":"2016-07-27T12:57:16","indexId":"sir20045097","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5097","title":"Changes in Rice Pesticide Use and Surface Water Concentrations in the Sacramento River Watershed, California","docAbstract":"<p>Pesticides applied to rice fields in California are transported into the Sacramento River watershed by the release of rice field water. Despite monitoring and mitigation programs, concentrations of two rice pesticides, molinate and thiobencarb, continue to exceed the surface-water concentration performance goals established by the Central Valley Regional Water Quality Control Board. There have been major changes in pesticide use over the past decade, and the total amount of pesticides applied remains high. Molinate use has declined by nearly half, while thiobencarb use has more than doubled; carbofuran has been eliminated and partially replaced by the pyrethroid pesticide lambda-cyhalothrin. A study was conducted in 2002 and 2003 by the U.S. Geological Survey to determine if the changes in pesticide use on rice resulted in corresponding changes in pesticide concentrations in surface waters. During the rice growing season (May-July), water samples, collected weekly at three sites in 2002 and two sites in 2003, were analyzed for pesticides using both solid-phase and liquid-liquid extraction in combination with gas chromatography/mass spectrometry. Analytes included lambda-cyhalothrin, molinate, thiobencarb, and two degradation products of molinate: 2-keto-molinate and 4-keto-molinate. Molinate, thiobencarb, and 4-keto-molinate were detected in all samples, 2-keto-molinate was detected in less than half of the samples, and lambda-cyhalothrin was not detected in any samples. At two of the sites sampled in 2002 (Colusa Basin Drain 1 and Sacramento Slough), concentrations of molinate were similar, but thiobencarb concentrations differed by a factor of five. Although concentrations cannot be estimated directly from application amounts in different watersheds, the ratio of molinate to thiobencarb concentrations can be compared with the ratio of molinate to thiobencarb use in the basins. The higher concentration ratio in the Sacramento Slough Basin, compared with the ratio in the basin area feeding the Colusa Basin Drain 1, is consistent with the higher use ratio, suggesting that differences in application amounts can explain the observed concentration differences. The samples from the downstream site (Tower) sampled in 2002 had the lowest concentrations of pesticides. Performance goals were exceeded for either molinate or thiobencarb in six samples from the upstream sites, but not in any samples from the downstream Tower site. In 2003, concentrations at upstream sites were much lower than the previous year with only one sample containing thiobencarb at a concentration above the performance goal. Lower concentrations could be partially due to delays in rice planting and pesticide application owing to spring rainstorms. Historical data is available on peak concentrations of molinate and thiobencarb measured at Colusa Basin Drain 5 (one of our sites in 2003) since 1981. Implementing holding times for pesticide-treated rice field water in the early 1980s succeeded in decreasing concentrations in surface waters. Detailed pesticide use data is available since 1991 and changing use patterns for molinate and thiobencarb can explain some, but not all, of the trends in peak pesticide concentrations. A stronger relationship is seen between the lengths of time that performance goals were exceeded and the amount of a pesticide applied within a basin. Different extraction and analytical techniques were used to improve the recovery and lower the method detection limit for lambda-cyhalothrin. Recoveries of lambda-cyhalothrin from solid-phase extraction cartridges typically vary, so subsamples were processed by liquid-liquid extraction. The advantage of using a larger sample volume (3 L instead of 1 L) to lower detection limits was offset by poor recovery during the cleanup step using an activated carbon column. Results suggest that as the concentrations of dissolved organic carbon in the sample increase, the recovery g</p>","language":"ENGLISH","doi":"10.3133/sir20045097","usgsCitation":"Orlando, J., and Kuivila, K., 2004, Changes in Rice Pesticide Use and Surface Water Concentrations in the Sacramento River Watershed, California: U.S. Geological Survey Scientific Investigations Report 2004-5097, 35 p., https://doi.org/10.3133/sir20045097.","productDescription":"35 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":174498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5415,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5097/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6edc","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":253847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":253846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":56947,"text":"sir20045023 - 2004 - Water Quality and Streamflow of the Indian River, Sitka, Alaska, 2001-02","interactions":[],"lastModifiedDate":"2012-02-02T00:12:21","indexId":"sir20045023","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5023","title":"Water Quality and Streamflow of the Indian River, Sitka, Alaska, 2001-02","docAbstract":"The Indian River Basin, located near Sitka Alaska, drains an area of 12.3 square miles. This watershed is an important natural resource of Sitka National Historic Park. At the present time, the watershed faces possible development on large tracts of private land upstream of the park that could affect the water quality of Indian River. Due to this concern, a study was conducted cooperatively with the National Park Service. The approach was to examine the water quality of the Indian River in the upper part of the watershed where no development has occurred and in the lower part of the basin where development has taken place.\r\n\r\nMeasurements of pH, water temperature, and dissolved oxygen concentrations of the Indian River were within acceptable ranges for fish survival. The Indian River is calcium bicarbonate type water with a low buffering capacity. Concentrations of dissolved ions and nutrients generally were low and exhibited little variation between the two study sites. Analysis of bed sediment trace element concentrations at both sampling sites indicates the threshold effect concentration was exceeded for arsenic, chromium, copper, nickel, and zinc; while the probable effect concentration was exceeded by arsenic, chromium and nickel. However, due to relatively large amounts of organic carbon present in the bed sediments, the potential toxicity from trace elements is low.\r\n\r\nDischarge in the Indian River is typical of coastal southeast Alaska streams where low flows generally are in late winter and early spring and greater flows are during the wetter fall months. Alaska Department of Fish and Game has established instream flow reservations on the lower 2.5 miles of the Indian River. Discharge data indicate minimum flow requirements were not achieved during 236 days of the study period. Natural low flows are frequently below the flow reservations, but diversions resulted in flow reservations not being met a total of 140 days.\r\n\r\nThirty-five algae species were identified from the sample collected at Indian River near Sitka while 24 species were identified from the sample collected at Indian River at Sitka. Most species of algae identified in the Indian River samples were diatoms and the majority were pinnate diatoms; however, green algae and (or) blue-green algae accounted for much of the algal biomass at the two sites. The trophic condition of the Indian River is oligotrophic, and algal productivity likely is limited by low concentrations of dissolved nitrogen.\r\n\r\nFew invertebrate taxa were collected relative to many high-quality streams in the contiguous United States, but the number of taxa in Indian River appears to be typical of Alaska streams. Ephemeroptera was the most abundant order sampled followed by Diptera.","language":"ENGLISH","doi":"10.3133/sir20045023","usgsCitation":"Neal, E.J., Brabets, T.P., and Frenzel, S.A., 2004, Water Quality and Streamflow of the Indian River, Sitka, Alaska, 2001-02: U.S. Geological Survey Scientific Investigations Report 2004-5023, 34 p., https://doi.org/10.3133/sir20045023.","productDescription":"34 p.","costCenters":[],"links":[{"id":5707,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045023/","linkFileType":{"id":5,"text":"html"}},{"id":184305,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c08","contributors":{"authors":[{"text":"Neal, Edward J.","contributorId":45575,"corporation":false,"usgs":true,"family":"Neal","given":"Edward","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":255961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":255960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frenzel, Steven A. sfrenzel@usgs.gov","contributorId":688,"corporation":false,"usgs":true,"family":"Frenzel","given":"Steven","email":"sfrenzel@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":255959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":56765,"text":"sir20045078 - 2004 - A Comparison of Forest Survey Data with Forest Dynamics Simulators FORCLIM and ZELIG along Climatic Gradients in the Pacific Northwest","interactions":[],"lastModifiedDate":"2012-02-02T00:11:48","indexId":"sir20045078","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5078","title":"A Comparison of Forest Survey Data with Forest Dynamics Simulators FORCLIM and ZELIG along Climatic Gradients in the Pacific Northwest","docAbstract":"Two forest dynamics simulators are compared along climatic gradients in the Pacific Northwest. The ZELIG and FORCLIM models are tested against forest survey data from western Oregon. Their ability to generate accurate patterns of forest basal area and species composition is evaluated for series of sites with contrasting climate. Projections from both models approximate the basal area and composition patterns for three sites along the elevation gradient at H.J. Andrews Experimental Forest in the western Cascade Range. The ZELIG model is somewhat more accurate than FORCLIM at the two low-elevation sites. Attempts to project forest composition along broader climatic gradients reveal limitations of ZELIG, however. For example, ZELIG is less accurate than FORCLIM at projecting the average composition of a west Cascades ecoregion selected for intensive analysis. Also, along a gradient consisting of several sites on an east to west transect at 44.1oN latitude, both the FORCLIM model and the actual data show strong changes in composition and total basal area, but the ZELIG model shows a limited response. ZELIG does not simulate the declines in forest basal area and the diminished dominance of mesic coniferous species east of the Cascade crest. We conclude that ZELIG is suitable for analyses of certain sites for which it has been calibrated. FORCLIM can be applied in analyses involving a range of climatic conditions without requiring calibration for specific sites.","language":"ENGLISH","doi":"10.3133/sir20045078","usgsCitation":"Busing, R.T., and Solomon, A.M., 2004, A Comparison of Forest Survey Data with Forest Dynamics Simulators FORCLIM and ZELIG along Climatic Gradients in the Pacific Northwest: U.S. Geological Survey Scientific Investigations Report 2004-5078, 16 p., https://doi.org/10.3133/sir20045078.","productDescription":"16 p.","costCenters":[],"links":[{"id":5647,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5078/","linkFileType":{"id":5,"text":"html"}},{"id":173878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494fe4b0b290850ef0ab","contributors":{"authors":[{"text":"Busing, Richard T.","contributorId":13303,"corporation":false,"usgs":true,"family":"Busing","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":255731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, Allen M.","contributorId":20394,"corporation":false,"usgs":true,"family":"Solomon","given":"Allen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":255732,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":54071,"text":"wri034135 - 2004 - Water-quality and bottom-material characteristics of Cross Lake, Caddo Parish, Louisiana, 1997-99","interactions":[],"lastModifiedDate":"2019-11-06T14:30:48","indexId":"wri034135","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2003-4135","title":"Water-quality and bottom-material characteristics of Cross Lake, Caddo Parish, Louisiana, 1997-99","docAbstract":"Cross Lake is a shallow, monomictic lake that was formed in 1926 by the impoundment of Cross Bayou.  The lake is the primary drinking-water supply for the City of Shreveport, Louisiana.  In recent years, the lakeshore has become increasinginly urbanized.  In addition, the land use of the watershed contributing runoff to Cross Lake has changed.  Changes in land use and urbanization could affect the water chemistry and biology of the Lake.  \r\n\r\nWater-quality data were collected at 10 sites on Cross Lake from February 1997 to February 1999.  Water-column and bottom-material samples were collected.  The water-column samples were collected at least four times per year.  These samples included physical and chemical-related properties such as water temperature, dissolved oxygen, pH, and specific conductance; selected major inorganic ions; nutrients; minor elements; organic chemical constituents; and bacteria.  Suspended-sediment samples were collected seven times during the sampling period.  The bottom-material samples, which were collected once during the sampling period, were analyzed for selected minor elements and inorganic carbon.\r\n\r\nAside from the nutrient-enriched condition of Cross Lake, the overall water-quality of Cross Lake is good.  No primary Federal or State water-quality criteria were exceeded by any of the water-quality constituents analyzed for this report.  Concentrations of major inorganic constituents, except iron and manganese, were low.  Water from the lake is a sodium-bicarbonate type and is soft.  Minor elements and organic compounds were present in low concentrations, many below detection limits.  \r\n\r\nNitrogen and phosphorus were the nutrients occurring in the highest concentrations.  Nutrients were evenly distributed across the lake with no particular water-quality site indicating consistently higher or lower nutrient concentrations.  No water samples analyzed for nitrate exceeded the U.S. Environmental Protection Agency's Maximum Contaminant Level of 10 milligrams per liter. \r\n\r\nBased on nitrogen to phosphorus ratios calculated for Cross Lake, median values for all water-quality sites were within the nitrogen-limited range (less than or equal to 5).  Historical Trophic State Indexes for Cross Lake classified the lake as eutrophic.  Recent (1998-99) Trophic State Indexes classify Cross Lake as mesotrophic-eutrophic, which might indicate a recution in eutrophication.  Sedimentation traps indicate that Cross Lake is filling at an average rate of 0.41 inches per year.\r\n\r\nConcentrations of fecal-coliform and streptococci bacteria generally were low.  Fecal coliform was detected in higher concentrations than fecal streptococci.  High bacterial concentrations were measured shortly after rainfall-runoff events, possibly washing bacteria from surrounding areas into the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034135","usgsCitation":"McGee, B.D., 2004, Water-quality and bottom-material characteristics of Cross Lake, Caddo Parish, Louisiana, 1997-99: U.S. Geological Survey Water-Resources Investigations Report 2003-4135, iv, 101 p., https://doi.org/10.3133/wri034135.","productDescription":"iv, 101 p.","costCenters":[],"links":[{"id":177896,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4135/report-thumb.jpg"},{"id":368993,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4135/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana ","county":"Caddo Parish","otherGeospatial":"Cross Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.94065856933594,\n              32.48659682936049\n            ],\n            [\n              -93.790283203125,\n              32.48659682936049\n            ],\n            [\n              -93.790283203125,\n              32.54276141685697\n            ],\n            [\n              -93.94065856933594,\n              32.54276141685697\n            ],\n            [\n              -93.94065856933594,\n              32.48659682936049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb747","contributors":{"authors":[{"text":"McGee, Benton D. bdmcgee@usgs.gov","contributorId":2899,"corporation":false,"usgs":true,"family":"McGee","given":"Benton","email":"bdmcgee@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249121,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}