The Christina River Basin drains 565 mi2 (square miles) in Pennsylvania and Delaware. Water from the basin is used for recreation, drinking-water supply, and to support aquatic life. The Christina River Basin includes the major subbasins of Brandywine Creek, Red Clay Creek, White Clay Creek, and Christina River. The Brandywine Creek is the largest of the subbasins and drains an area of 327 mi2. Water quality in some parts of the Christina River Basin is impaired and does not support designated uses of the streams. A multi-agency water-quality management strategy included a modeling component to evaluate the effects of point and nonpoint-source contributions of nutrients and suspended sediment on streamwater quality. To assist in nonpoint-source evaluation, four independent models, one for each of the four main subbasins of the Christina River Basin, were developed and calibrated using the model code Hydrological Simulation Program—Fortran (HSPF). Water-quality data for model calibration were collected in each of the four main subbasins and in small subbasins predominantly covered by one land use following a nonpoint-source monitoring plan. Under this plan, stormflow and base-flow samples were collected during 1998 at six sites in the Brandywine Creek subbasin and five sites in the other subbasins.
The HSPF model for the Brandywine Creek Basin simulates streamflow, suspended sediment, and the nutrients, nitrogen and phosphorus. In addition, the model simulates water temperature, dissolved oxygen, biochemical oxygen demand, and plankton as secondary objectives needed to support the sediment and nutrient simulations. For the model, the basin was subdivided into 35 reaches draining areas that ranged from 0.6 to 18 mi2. Three of the reaches contain regulated reservoir. Eleven different pervious land uses and two impervious land uses were selected for simulation. Land-use areas were determined from 1995 land-use data. The predominant land uses in the basin are forested, agricultural, residential, and urban. The hydrologic component of the model was run at an hourly time step and calibrated using streamflow data for eight U.S. Geological Survey (USGS) stream-flow-measurement stations for the period of January 1, 1994, through October 29, 1998. Daily precipitation data for three National Oceanic and Atmospheric Administration (NOAA) gages and hourly data for one NOAA gage were used for model input. The difference between observed and simulated streamflow volume ranged from -2.7 to 3.9 percent for the nearly 5-year period at the eight calibration sites. Annual differences between observed and simulated streamflow generally were greater than the overall error. For example, at a site near the bottom of the basin (drainage area of 237 mi2), annual differences between observed and simulated streamflow ranged from -14.0 to 18.8 percent and the overall error for the 5-year period was 1.0 percent. Calibration errors for 36 storm periods at the eight calibration sites for total volume, low-flow-recession rate, 50-percent lowest flows, 10-percent highest flows, and storm peaks were within the recommended criteria of 20 percent or less. Much of the error in simulating storm events on an hourly time step can be attributed to uncertainty in the rainfall data.
The water-quality component of the model was calibrated using monitoring data collected at six USGS streamflow-measurement stations with variable water quality monitoring periods ending October 1998. Because of availability, monitoring data for suspended solids concentrations were used as surrogates for suspended-sediment concentrations, although suspended-solids data may underestimate suspended sediment and affect apparent accuracy of the suspended-sediment simulation. Comparison of observed to simulated loads for two to six individual storms in 1998 at each of the six monitoring sites indicate that simulation error is commonly as large as an order of magnitude for suspended sediment and nutrients. The simulation error tends to be smaller for dissolved nutrients than for particulate nutrients. Errors of 40 percent or less for monthly or annual values indicate a fair to good water-quality calibration according to recommended criteria, with much larger errors possible for individual events. Assessment of the water-quality calibration under stormflow conditions is limited by the relatively small amount of available water-quality data in the basin. Duration curves for simulated and reported sediment concentration at Brandywine Creek at Wilmington, Del., are similar, indicating model performance is better when evaluated over longer periods than when evaluated on individual storm events.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024279","collaboration":"Prepared in cooperation with the Delaware River Basin Commission, Delaware Department of Natural Resources and Environmental Control, and the Pennsylvania Department of Environmental Protection","usgsCitation":"Senior, L.A., and Koerkle, E.H., 2003, Simulation of streamflow and water quality in the Brandywine Creek subbasin of the Christina River basin, Pennsylvania and Delaware, 1994-98: U.S. Geological Survey Water-Resources Investigations Report 2002-4279, xii, 207 p., https://doi.org/10.3133/wri024279.","productDescription":"xii, 207 p.","onlineOnly":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":4620,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4279/wri20024279.pdf","text":"Report","size":"17.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2002-4279"},{"id":179475,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4279/coverthb.jpg"}],"contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
The U.S. Geological Survey tested and refined tethered-platform designs for measuring streamflow. Platform specifications were developed, radio-modem telemetry of acoustic Doppler current profiler (ADCP) data and potential platform-hull sources were investigated, and hulls were tested and evaluated.
\nDifferent platforms, which included a variety of hull configurations, were tested for drag and stability at the U.S. Geological Survey tow tank and at a field site below a reservoir. The testing indicated that, although any of the designs could be used under certain conditions, trimaran designs provided the best all-around performance under a range of conditions. The trimaran designs housed the ADCP in the center hull; this resulted in lower drag than the catamaran designs and retained the stability advantage of catamarans over monohull designs. Waterproof radio modems that operate at 900 megahertz were used to communicate wirelessly with instruments at high baud rates.
\nA tethered-platform design with a trimaran hull and 900-megahertz radio modems is now commercially available. Continued field use has resulted in U.S. Geological Survey procedures for making tethered-platform discharge measurements, including methods for tethered-boat deployment, moving-bed tests, and measurement of edge distances.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Indianapolis, IN","doi":"10.3133/ofr03237","usgsCitation":"Rehmel, M.S., Stewart, J., and Morlock, S.E., 2003, Tethered acoustic doppler current profiler platforms for measuring streamflow: U.S. Geological Survey Open-File Report 2003–0237, iv, 15 p., https://doi.org/10.3133/ofr03237.","productDescription":"iv, 15 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":178928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0237/coverthb.jpg"},{"id":4413,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0237/ofr20030237.pdf","text":"Report ","size":"376 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2003-0237"}],"country":"United 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U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278
No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03238","usgsCitation":"Pellerin, L., and Sampson, J., 2003, Magnetotelluric data in the Delta River mining district, near the Tangle Lakes area of southcentral Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2003-238, 184 p., https://doi.org/10.3133/ofr03238.","productDescription":"184 p.","costCenters":[],"links":[{"id":178927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389230,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_55336.htm"},{"id":4412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-238/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Delta River mining district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.5,\n 62.9167\n ],\n [\n -146.1667,\n 62.9167\n ],\n [\n -146.1667,\n 63.4\n ],\n [\n -145.5,\n 63.4\n ],\n [\n -145.5,\n 62.9167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64943a","contributors":{"authors":[{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":243480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampson, Jay","contributorId":65915,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","affiliations":[],"preferred":false,"id":243481,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51404,"text":"ofr03239 - 2003 - Archive of Boomer seismic reflection data: collected during USGS Cruise 96CCT01, nearshore south central South Carolina coast, June 26 - July 1, 1996","interactions":[],"lastModifiedDate":"2023-08-25T19:05:02.010277","indexId":"ofr03239","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-239","title":"Archive of Boomer seismic reflection data: collected during USGS Cruise 96CCT01, nearshore south central South Carolina coast, June 26 - July 1, 1996","docAbstract":"This archive consists of marine seismic reflection profile data collected in four survey areas from southeast of Charleston Harbor to the mouth of the North Edisto River of South Carolina. These data were acquired June 26 - July 1, 1996, aboard the R/V G.K. Gilbert. Included here are data in a variety of formats including binary, American Standard Code for Information Interchange (ASCII), Hyper Text Markup Language (HTML), Portable Document Format (PDF), Rich Text Format (RTF), Graphics Interchange Format (GIF) and Joint Photographic Experts Group (JPEG) images, and shapefiles. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. Reference maps and GIF images of the profiles may be viewed with a web browser. The Geographic Information Systems (GIS) map documents provided were created with Environmental Systems Research Institute (ESRI) GIS software ArcView 3.2 and 8.1.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03239","usgsCitation":"Calderon, K., Dadisman, S.V., Kindinger, J.L., Flocks, J.G., and Wiese, D.S., 2003, Archive of Boomer seismic reflection data: collected during USGS Cruise 96CCT01, nearshore south central South Carolina coast, June 26 - July 1, 1996: U.S. Geological Survey Open-File Report 2003-239, HTML Document; 1 DVD, https://doi.org/10.3133/ofr03239.","productDescription":"HTML Document; 1 DVD","costCenters":[],"links":[{"id":420168,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_66071.htm","linkFileType":{"id":5,"text":"html"}},{"id":4411,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/of03-239/","linkFileType":{"id":5,"text":"html"}},{"id":178840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.35298040937914,\n 32.66806079252588\n ],\n [\n -79.65734884470936,\n 32.83215390794092\n ],\n [\n -79.94415756261644,\n 32.65163486384087\n ],\n [\n -80.36949294019279,\n 32.46910455372084\n ],\n [\n -80.43192749102982,\n 32.3735808040353\n ],\n [\n -80.49826420129392,\n 32.28125507101731\n ],\n [\n -80.63288870153612,\n 32.26970773658857\n ],\n [\n -80.81629019461975,\n 32.49708371740918\n ],\n [\n -80.84945854975159,\n 32.47075062765593\n ],\n [\n -80.71873620893687,\n 32.244958499950485\n ],\n [\n -80.63288870153612,\n 32.19048643814993\n ],\n [\n -80.53923687528078,\n 32.12937291326516\n ],\n [\n -80.2504770776602,\n 32.19543979214272\n ],\n [\n -79.35298040937914,\n 32.66806079252588\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679dc7","contributors":{"authors":[{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":243479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":243477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":243475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":243476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":243478,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":52699,"text":"ofr03199 - 2003 - Magnetotelluric data in the Southwest Espanola Basin, northern New Mexico","interactions":[],"lastModifiedDate":"2012-02-02T00:11:58","indexId":"ofr03199","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-199","title":"Magnetotelluric data in the Southwest Espanola Basin, northern New Mexico","language":"ENGLISH","doi":"10.3133/ofr03199","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2003, Magnetotelluric data in the Southwest Espanola Basin, northern New Mexico (Version 1.0): U.S. Geological Survey Open-File Report 2003-199, 128 p., https://doi.org/10.3133/ofr03199.","productDescription":"128 p.","costCenters":[],"links":[{"id":181297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5239,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-199/ ","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a05e","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":245858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":245857,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51402,"text":"ofr03248 - 2003 - Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana","interactions":[],"lastModifiedDate":"2012-02-02T00:11:22","indexId":"ofr03248","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-248","title":"Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana","language":"ENGLISH","doi":"10.3133/ofr03248","usgsCitation":"Klein, T.L., Cannon, M.R., and Fey, D.L., 2003, Hydrogeologic, water-quality, and geochemical data for the Frohner Meadows area, upper Lump Gulch, Jefferson County, Montana (Version 1.0): U.S. Geological Survey Open-File Report 2003-248, 57 p., https://doi.org/10.3133/ofr03248.","productDescription":"57 p.","costCenters":[],"links":[{"id":178838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-248/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db627876","contributors":{"authors":[{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Michael R.","contributorId":37411,"corporation":false,"usgs":true,"family":"Cannon","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":243471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":243469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":47840,"text":"fs03203 - 2003 - Earth Observing-1 Extended Mission","interactions":[{"subject":{"id":47840,"text":"fs03203 - 2003 - Earth Observing-1 Extended Mission","indexId":"fs03203","publicationYear":"2003","noYear":false,"title":"Earth Observing-1 Extended Mission"},"predicate":"SUPERSEDED_BY","object":{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","indexId":"fs20053060","publicationYear":"2005","noYear":false,"title":"Earth Observing-1 Extended Mission"},"id":1}],"supersededBy":{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","indexId":"fs20053060","publicationYear":"2005","noYear":false,"title":"Earth Observing-1 Extended Mission"},"lastModifiedDate":"2012-02-27T14:10:03","indexId":"fs03203","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"032-03","title":"Earth Observing-1 Extended Mission","docAbstract":"From its beginning in November 2000, the NASA Earth Observing-1 (EO-1) mission demonstrated the feasibility and performance of a dozen innovative sensor, spacecraft, and operational technologies. The 1-year mission tested a variety of technologies, some of which may be included on the planned 2007 Landsat Data Continuity Mission. Onboard the spacecraft are two land remote sensing instruments: the Advanced Land Imager (ALI), which acquires data in spectral bands and at resolutions similar to Landsat, and Hyperion, which acquires data in 220 10-nanometer-wide bands covering the visible, near-, and shortwave-infrared bands.\n\nRecognizing the remarkable performance of the satellite's instruments and the exceptional value of the data, the U.S. Geological Survey (USGS) and NASA agreed in December 2001 to share responsibility for operating EO-1 on a cost-reimbursable basis as long as customer sales are sufficient to recover flight and ground operations costs.\n\nThe EO-1 extended mission operates within constraints imposed by its technology-pioneering origins, but it also provides unique and valuable capabilities. The spacecraft can acquire a target scene three times in a 16-day period. The ALI instrument has additional spectral coverage and greater radiometric dynamic range compared with the sensors on Landsat 7. Hyperion is the first civilian spaceborne hyperspectral imager. As of January 2003, more than 5,000 scenes had been acquired, indexed, and archived.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs03203","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Earth Observing-1 Extended Mission: U.S. Geological Survey Fact Sheet 032-03, 2 p., https://doi.org/10.3133/fs03203.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":4045,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2003/0032/","linkFileType":{"id":5,"text":"html"}},{"id":171509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0032/report-thumb.jpg"},{"id":84671,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0032/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a91a","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":531766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":47843,"text":"fs03603 - 2003 - Rapid-deployment data-collection networks for wildland fire applications","interactions":[],"lastModifiedDate":"2012-02-02T00:10:48","indexId":"fs03603","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"036-03","title":"Rapid-deployment data-collection networks for wildland fire applications","language":"ENGLISH","doi":"10.3133/fs03603","usgsCitation":"Teller, R.W., Williams, M.L., Murphy, T.S., and Buck, P., 2003, Rapid-deployment data-collection networks for wildland fire applications: U.S. Geological Survey Fact Sheet 036-03, 4 p., https://doi.org/10.3133/fs03603.","productDescription":"4 p.","costCenters":[],"links":[{"id":120226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_036_03.bmp"},{"id":4047,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs-036-03/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649397","contributors":{"authors":[{"text":"Teller, Ralph W.","contributorId":65839,"corporation":false,"usgs":true,"family":"Teller","given":"Ralph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":236360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Monte L.","contributorId":31047,"corporation":false,"usgs":true,"family":"Williams","given":"Monte","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":236358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Teresa S.","contributorId":49435,"corporation":false,"usgs":true,"family":"Murphy","given":"Teresa","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":236359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buck, Pam","contributorId":66336,"corporation":false,"usgs":true,"family":"Buck","given":"Pam","email":"","affiliations":[],"preferred":false,"id":236361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":48846,"text":"wri024286 - 2003 - Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998","interactions":[],"lastModifiedDate":"2017-07-19T10:01:57","indexId":"wri024286","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4286","title":"Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998","docAbstract":"Five to nine samples were collected per storm throughout the hydrograph of four storms in February 1998 from Panoche Creek at Interstate 5, California. The rainfall total of 10.40 inches for the month was greater than any other month during 1957 to 2000, and peak streamflows on February 3 and 7 exceeded the previous peak streamflow of record. Concentrations of suspended sediment, which were highly variable during the storms, ranged from 32,900 to 251,000 mg/L (milligram per liter) with a median of 126,000 mg/L. Dissolved selenium concentrations in the storm samples ranged from 16 to 60 μg/L (microgram per liter), with a median of 30 μg/L. These concentrations were considerably higher during the first storm than during subsequent storms. Total selenium concentrations in the storm samples ranged from 57 to 320 μg/L, with a median of 115 μg/L. Total selenium in four replicate and four rerun samples was highly variable (relative percent differences ranged from 0 to 57 percent), probably due to the extremely high concentrations of suspended sediment in the samples and possible interferences from other compounds. The calculated concentration of selenium attached to suspended sediment was less variable than suspended sediment or total selenium concentrations during storm runoff; concentrations ranged from 0.50 to 2.1 μg/g (microgram per gram) with a median of 0.89 μg/g.
The logarithms of suspended sediment and total selenium concentrations were closely correlated to the logarithm of streamflow (R2 = 0.82, R2 = 0.71, respectively for all storm data). These relations for the first storm were significantly different from the later three storms. Because of these correlations, the logarithm of suspended sediment loading rate and the logarithm of total selenium loading rate were closely correlated to the logarithm of streamflow (R2 = 0.982 for both for all storm data). Loads of suspended sediment and total selenium were calculated for each of the four storms in three ways, including simple linear regression with streamflow for all storms, simple linear regressions for the first storm and the combined later three storms, and integration under the instantaneous load curves. The resulting suspended sediment loads for all four storms ranged from 1,793,000 to 2,555,000 tons; total selenium ranged from 4,909 to 5,830 lb (pound).
Dissolved selenium concentrations correlated significantly with both the logarithm of streamflow and specific conductance. Simple linear regression with the logarithm of streamflow had an R2 of 0.45, and a multiple linear regression with the logarithm of streamflow and specific conductance had an adjusted R2 of 0.48 for all storm data. The relation between streamflow and specific conductance for the first storm and for the later three storms were significantly different. As for suspended sediment and total selenium, dissolved selenium loads were calculated three ways. The resulting loads for all four storms ranged from 773 to 1,007 lb.
No significant storm occurred during the remainder of the study period (water years 1998 to 2000), and thus, no additional storm sampling took place. Assuming that future sediment and selenium transport is similar to that of 1998, a reasonable estimate of loading rates can be calculated from the streamflow record at the Interstate 5 gage. Additional storm sampling would improve the estimates and possibly allow for separate equations for the rising and falling limbs of storm hydrographs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Sacremento, CA","doi":"10.3133/wri024286","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Kratzer, C.R., Saleh, D.K., and Zamora, C., 2003, Selenium and sediment loads in storm runoff in Panoche Creek, California, February 1998: U.S. Geological Survey Water-Resources Investigations Report 2002-4286, vi, 38 p., https://doi.org/10.3133/wri024286.","productDescription":"vi, 38 p.","numberOfPages":"48","costCenters":[],"links":[{"id":162929,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4066,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri024286/","linkFileType":{"id":5,"text":"html"}},{"id":343963,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri024286/wrir_024286.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Panoche Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.970458984375,\n 36.659606226479696\n ],\n [\n -120.72326660156249,\n 36.39033486213649\n ],\n [\n -120.21240234375001,\n 36.641977814705946\n ],\n [\n -120.4541015625,\n 36.89719446989036\n ],\n [\n -120.970458984375,\n 36.659606226479696\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b08e4b07f02db69b64b","contributors":{"authors":[{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":238413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":238412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":238411,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":48848,"text":"wri024259 - 2003 - Hydrogeology and geochemistry of aquifers underlying the San Lorenzo and San Leandro areas of the East Bay Plain, Alameda County, California","interactions":[],"lastModifiedDate":"2019-09-10T08:50:01","indexId":"wri024259","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4259","title":"Hydrogeology and geochemistry of aquifers underlying the San Lorenzo and San Leandro areas of the East Bay Plain, Alameda County, California","docAbstract":"The East Bay Plain, on the densely populated eastern shore of San Francisco Bay, contains an upper aquifer system to depths of 250 feet below land surface and an underlying lower aquifer system to depths of more than 650 feet. Injection and recovery of imported water has been proposed for deep aquifers at two sites within the lower aquifer system. Successful operation requires that the injected water be isolated from surface sources of poor-quality water during storage and recovery. Hydraulic, geochemical, and isotopic data were used to evaluate the isolation of deeper aquifers.\r\n\r\n\r\nGround-water responses to tidal changes in the Bay suggest that thick clay layers present within these deposits effectively isolate the deeper aquifers in the northern part of the study area from overlying surficial deposits. These data also suggest that the areal extent of the shallow and deep aquifers beneath the Bay may be limited in the northern part of the study area. Despite its apparent hydraulic isolation, the lower aquifer system may be connected to the overlying upper aquifer system through the corroded and failed casings of abandoned wells. Water-level measurements in observation wells and downward flow measured in selected wells during nonpumped conditions suggest that water may flow through wells from the upper aquifer system into the lower aquifer system during nonpumped conditions.\r\n\r\n\r\nThe chemistry of water from wells in the East Bay Plain ranges from fresh to saline; salinity is greater than seawater in shallow estuarine deposits near the Bay. Water from wells completed in the lower aquifer system has higher pH, higher sodium, chloride, and manganese concentrations, and lower calcium concentrations and alkalinity than does water from wells completed in the overlying upper aquifer system. Ground-water recharge temperatures derived from noble-gas data indicate that highly focused recharge processes from infiltration of winter streamflow and more diffuse recharge processes from infiltration of precipitation occur within the study area. However, recharge of imported water from leaking water-supply pipes, believed by previous investigators to be a large source of ground-water recharge, was not supported on the basis of oxygen-18 and deuterium data collected as part of this study.\r\n\r\n\r\nBased on tritium/helium-3 ages, most water in the upper aquifer system is relatively young and was recharged after 1952; however, water in the lower aquifer system is older and does not contain detectable tritium. Carbon-14 ages interpreted for water from wells in the lower aquifer system and underlying partly consolidated rocks range from 500 to more than 20,000 years before present. The greatest ages were in water from wells completed in the partly consolidated deposits that underlie the northern part of the study area. Ground water from wells in the lower aquifer system near the proposed Bayside injection/recovery site was recharged about 9,400 years before present and appears to be isolated from surface sources of recharge and ground-water contamination.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024259","usgsCitation":"Izbicki, J., Borchers, J.W., Leighton, D.A., Kulongoski, J., Fields, L., Galloway, D.L., and Michel, R.L., 2003, Hydrogeology and geochemistry of aquifers underlying the San Lorenzo and San Leandro areas of the East Bay Plain, Alameda County, California: U.S. Geological Survey Water-Resources Investigations Report 2002-4259, 71 p., https://doi.org/10.3133/wri024259.","productDescription":"71 p.","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":161563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4068,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024259/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Alameda County","otherGeospatial":"East Bay Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.98095703125,\n 37.28279464911045\n ],\n [\n -121.6680908203125,\n 37.28279464911045\n ],\n [\n -121.6680908203125,\n 38.20797181420939\n ],\n [\n -122.98095703125,\n 38.20797181420939\n ],\n [\n -122.98095703125,\n 37.28279464911045\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625a6e","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":238419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchers, James W.","contributorId":25931,"corporation":false,"usgs":true,"family":"Borchers","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":238420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leighton, David A.","contributorId":95493,"corporation":false,"usgs":true,"family":"Leighton","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":238422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":919,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","email":"kulongos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":238418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Latoya","contributorId":65124,"corporation":false,"usgs":true,"family":"Fields","given":"Latoya","email":"","affiliations":[],"preferred":false,"id":238421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":238416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Michel, Robert L. rlmichel@usgs.gov","contributorId":823,"corporation":false,"usgs":true,"family":"Michel","given":"Robert","email":"rlmichel@usgs.gov","middleInitial":"L.","affiliations":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"preferred":true,"id":238417,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":47833,"text":"fs02103 - 2003 - Measuring and mapping the topography of the Florida Everglades for ecosystem restoration","interactions":[],"lastModifiedDate":"2021-12-02T14:54:50.068926","indexId":"fs02103","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"021-03","title":"Measuring and mapping the topography of the Florida Everglades for ecosystem restoration","docAbstract":"One of the major issues facing ecosystem restoration and management of the Greater Everglades is the availability and distribution of clean, fresh water. The South Florida ecosystem encompasses an area of approximately 28,000 square kilometers and supports a human population that exceeds 5 million and is continuing to grow. The natural systems of the Kissimmee-Okeechobee-Everglades watershed compete for water resources primarily with the region's human population and urbanization, and with the agricultural and tourism industries. Surface water flow modeling and ecological modeling studies are important means of providing scientific information needed for ecosystem restoration planning and modeling. Hydrologic and ecological models provide much-needed predictive capabilities for evaluating management options for parks, refuges, and land acquisition and for understanding the impacts of land management practices in surrounding areas. These models require various input data, including elevation data that very accurately define the topography of the Florida Everglades.","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs02103","usgsCitation":"Desmond, G.B., 2003, Measuring and mapping the topography of the Florida Everglades for ecosystem restoration: U.S. Geological Survey Fact Sheet 021-03, 4 p., https://doi.org/10.3133/fs02103.","productDescription":"4 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":122347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0021/report-thumb.jpg"},{"id":84668,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0021/report.pdf","text":"Report","size":"661 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 021-03"},{"id":4039,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2003/0021/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.8206787109375,\n 25.045792240303445\n ],\n [\n -80.2880859375,\n 25.045792240303445\n ],\n [\n -80.2880859375,\n 26.504988828743404\n ],\n [\n -81.8206787109375,\n 26.504988828743404\n ],\n [\n -81.8206787109375,\n 25.045792240303445\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
An empirical calibration of the shear stress model for bedrock incision is presented, using field and hydrologic data from a series of small, coastal drainage basins near the Mendocino triple junction in northern California. Previous work comparing basins from the high uplift zone (HUZ, uplift rates around 4 mm/year) to ones in the low uplift zone (LUZ, ∼0.5 mm/year) indicates that the HUZ channels are about twice as steep for a given drainage area. This observation suggests that incision processes are more effective in the HUZ. It motivates a detailed field study of channel morphology in the differing tectonic settings to test whether various factors that are hypothesized to influence incision rates (discharge, channel width, lithology, sediment load) change in response to uplift or otherwise differ between the HUZ and LUZ. Analysis of regional stream gaging data for mean annual discharge and individual floods yields a linear relationship between discharge and drainage area. Increased orographic precipitation in the HUZ accounts for about a twofold increase in discharge in this area, corresponding to an assumed increase in the erosional efficiency of the streams. Field measurements of channel width indicate a power-law relationship between width and drainage area with an exponent of ∼0.4 and no significant change in width between the uplift rate zones, although interpretation is hampered by a difference in land use between the zones. The HUZ channel width dataset reveals a scaling break interpreted to be the transition between colluvial- and fluvial-dominated incision processes. Assessments of lithologic resistance using a Schmidt hammer and joint surveys show that the rocks of the study area should be fairly similar in their susceptibility to erosion. The HUZ channels generally have more exposed bedrock than those in the LUZ, which is consistent with protection by sediment cover inhibiting incision in the LUZ. However, this difference is likely the result of a recent pulse of sediment due to land use in the LUZ. Therefore, the role of sediment flux in setting incision rates cannot be constrained with any certainty. To summarize, of the four response mechanisms analyzed, the only factor that demonstrably varies between uplift rate zones is discharge, although this change is likely insufficient to explain the relationship between channel slope and uplift rate. The calibrated model allows us to make a prediction of channel concavity that is consistent with a previous estimate from slope–drainage area data. We show that the inclusion of nonzero values of critical shear stress in the model has important implications for the theoretical relationship between steady-state slope and uplift rate and might provide an explanation for the observations. This analysis underscores the importance of further work to constrain quantitatively threshold shear stress for bedrock incision.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0169-555X(02)00349-5","usgsCitation":"Snyder, N.P., Whipple, K.X., Tucker, G., and Merritts, D., 2003, Channel response to tectonic forcing: field analysis of stream morphology and hydrology in the Mendocino triple junction region, northern California: Geomorphology, v. 53, no. 1-2, p. 97-127, https://doi.org/10.1016/S0169-555X(02)00349-5.","productDescription":"31 p.","startPage":"97","endPage":"127","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mendocino triple junction region","volume":"53","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10ecabe4b034bf6a803822","contributors":{"authors":[{"text":"Snyder, Noah P.","contributorId":198029,"corporation":false,"usgs":false,"family":"Snyder","given":"Noah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":746395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whipple, Kelin X.","contributorId":138503,"corporation":false,"usgs":false,"family":"Whipple","given":"Kelin","email":"","middleInitial":"X.","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":746396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":746397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritts, D.J.","contributorId":73766,"corporation":false,"usgs":true,"family":"Merritts","given":"D.J.","affiliations":[],"preferred":false,"id":746398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170382,"text":"70170382 - 2003 - Predicting rare plant occurrence in Great Smoky Mountains National Park, USA","interactions":[],"lastModifiedDate":"2022-07-21T16:03:44.478368","indexId":"70170382","displayToPublicDate":"2003-07-01T01:15:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Predicting rare plant occurrence in Great Smoky Mountains National Park, USA","docAbstract":"We investigated the applicability of biometric habitat modeling to rare plant inventory and conservation by developing and field testing a geographically explicit model for Cardamine clematitis Shuttleworth ex A. Gray (mountain bittercress), an endemic plant of the southern Blue Ridge Mountains, USA. For each of 187 confirmed coordinates for C. clematitis in Great Smoky Mountains National Park, 13 habitat variables were measured with a geographic information system. These data were used to calculate Mahalanobis distances for each 30-m x 30-m pixel within the study area; small values of Mahalanobis distance represented site conditions similar to those of known locations of C. clematitis, whereas larger distance values represented dissimilar conditions. Following model development, we tested model performance by sampling 120 randomly distributed plots for C. clematitis presence. Logistic regression showed that Mahalanobis distance values were strongly related to C. clematitis occurrence (P = 0.039). Overall, 75% of all known occurrences of C. clematitis had associated Mahalanobis distance values below 17.7, and 95% of all occurrences were below 33.8; the median Mahalanobis distance value for the study area as a whole was 40.0. A habitat suitability cutoff value was defined which identified roughly 23,640 ha (19.5% of the study area) as suitable habitat. Although the model successfully predicted species absence in test plots with high Mahalanobis distance values, many sites with low values did not contain C. clematitis. Only 16.2% of test plots below the habitat suitability cutoff contained C. clematitis. The absence of C. clematitis from sites with low Mahalanobis distance values (low specificity) is not necessarily indicative of a poor model; metapopulation processes (e.g., recolonizations, local extinctions) have been shown to play a major role in presence or absence of many plant species. That may be partially the case with our model as evidenced by a relationship between C. clematitis presence and habitat patch size.
Streambed-sediment and fish-tissue samples were collected at eight sites in the Great and Little Miami Basins as part of the U.S. Geological Survey's National Water Quality Assessment Program. The samples were analyzed for trace elements and synthetic organic compounds, including organochlorine insecticides, polychlorinated biphenyls (PCBs), and semivolatile compounds (SVOCs). Data from state-agency investigations within the study unit (more than 200 sites) were incorporated to gain a broader perspective of the occurrence and distribution of contaminants in the study unit. All data were compared to streambed-sediment-quality guidelines and fish-tissue guidelines to identify elevated contaminant concentrations. Guideline exceedances were plotted on distribution maps to identify areas in the study unit that may be of potential concern for wildlife health.
Several trace elements were detected in both sediment and fish-tissue samples. In sediment, lead and zinc were most frequently detected at levels that may have adverse effects on aquatic organisms. Generally, only one of the trace elements analyzed for per site exceeded concentrations above which adverse biological effects are frequently anticipated.
Organochlorine insecticides were infrequently detected in sediment or fish tissue throughout the study unit. More organochlorine insecticides were detected in fish tissues than in sediment; however, more guidelines were exceeded in sediment. No distinct geographic overlap between sediment and fish-tissue sites was evident with respect to elevated organochlorine insecticide concentrations. Sediment-quality guideline exceedances were generally widespread throughout the study unit, whereas fish-tissue guidelines were exceeded only on the Mad River.
PCBs were detected more often in fish tissue than in sediment throughout the study unit. Elevated PCB concentrations in fish tissue were common and widespread. No distinct geographic overlap of PCB exceedances was evident between sediment and fish-tissue sites.
In sediments, elevated concentrations were detected most often for SVOCs, particularly for polycyclic aromatic hydrocarbons (PAHs). Areas where SVOC guidelines were frequently exceeded include the Great Miami River main stem from Dayton to south of Hamilton, and the Upper Little Miami River Basin in Greene County.
Overall, a higher frequency of trace-element detections in fish tissue and sediment trace-element guideline exceedances was found in the Great Miami River Basin than in the Little Miami River Basin. Organochlorine insecticide guidelines for fish tissue and sediment, as well as PCB and SVOC guidelines for sediment also were exceeded more frequently in the Great Miami River Basin. PCB guideline exceedances for fish tissue were found more often in the Little Miami River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024305","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Janosy, S.D., 2003, Trace elements and synthetic organic compounds in streambed sediment and fish tissue in the Great and Little Miami River basins, Ohio and Indiana, 1990-98: U.S. Geological Survey Water-Resources Investigations Report 2002-4305, Report: vii, 29 p. , https://doi.org/10.3133/wri024305.","productDescription":"Report: vii, 29 p. ","costCenters":[],"links":[{"id":84662,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4305/wri20024305.pdf","text":"Report","size":"6.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2002-4305"},{"id":170850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4305/coverthb.jpg"}],"contact":"Director, Ohio Water Science Center
U.S. Geological Survey
6460 Busch Blvd.
Columbus, OH 43229
Muskellunge Lake is a productive, eutrophic lake because of high nutrient loading. Historical data indicate that water quality has only slightly degraded since the early 1970s, possibly because of phosphorus input from effluent from septic systems. A detailed phosphorus budget for the lake indicated that most of the phosphorus comes from natural sources?ground water and surface water flowing through relatively undeveloped areas surrounding the lake. Modeling results indicated that the natural input of phosphorus was sufficient to maintain the lake's eutrophic condition. Analysis of sediment cores confirmed that only small changes in nutrient and algal concentrations have occurred over the past 100 years; however, the analysis indicated that the macrophyte community has increased over this time period. The aeration system, installed to alleviate winter anoxia, maintains aerobic conditions throughout the main bays of the lake.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034011","collaboration":"Prepared in cooperation with the Muskellunge Lake Association","usgsCitation":"Robertson, D.M., Rose, W., and Saad, D.A., 2003, Water quality and the effects of changes in phosphorus loading to Muskellunge Lake, Vilas County, Wisconsin: U.S. Geological Survey Water-Resources Investigations Report 2003-4011, vi, 18 p., https://doi.org/10.3133/wri034011.","productDescription":"vi, 18 p.","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":3989,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034011/","linkFileType":{"id":5,"text":"html"}},{"id":311313,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri034011/pdf/03-4011_Musky_Lake.pdf"},{"id":171681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Vilas County","otherGeospatial":"Muskellunge Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.41669464111328,\n 45.92775190489084\n ],\n [\n -89.41669464111328,\n 45.97155499289284\n ],\n [\n -89.33378219604492,\n 45.97155499289284\n ],\n [\n -89.33378219604492,\n 45.92775190489084\n ],\n [\n -89.41669464111328,\n 45.92775190489084\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9b3d","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":236213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":236215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":236214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":47819,"text":"fs00503 - 2003 - Municipal stormwater sampling program, metropolitan area, Albuquerque, New Mexico—summary of sampling, 1992–2002","interactions":[],"lastModifiedDate":"2019-03-12T10:40:44","indexId":"fs00503","displayToPublicDate":"2003-07-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"005-03","displayTitle":"Municipal Stormwater Sampling Program, Metropolitan Area, Albuquerque, New Mexico—Summary of Sampling, 1992–2002","title":"Municipal stormwater sampling program, metropolitan area, Albuquerque, New Mexico—summary of sampling, 1992–2002","docAbstract":"Since 1992, the U.S. Geological Survey (USGS), in cooperation with the City of Albuquerque, the Albuquerque Metropolitan Arroyo and Flood Control Authority (AMAFCA), the New Mexico Highway Department (NMHD), and the University of New Mexico (UNM), has collected stormwater-quality data to meet regulatory requirements for the application phase of the National Pollutant Discharge Elimination System (NPDES) stormwater permit. The phase I permit requirements apply to cities with populations of 100,000 or greater (U.S. Environmental Protection Agency, 1990). This report describes the stormwater sampling program implemented in the City of Albuquerque from 1992 to the present (2002).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs00503","usgsCitation":"Veenhuis, J.E., 2003, Municipal stormwater sampling program, metropolitan area, Albuquerque, New Mexico—summary of sampling, 1992–2002: U.S. Geological Survey Fact Sheet 005-03, 4 p., https://doi.org/10.3133/fs00503.","productDescription":"4 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":84665,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0005/fs00503.pdf","text":"Report","size":"794 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":126256,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0005/coverthb.jpg"}],"contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd NE
Albuquerque, NM 87113
No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03152","usgsCitation":"Eppinger, R.G., Briggs, P.H., Rieffenberger, B., Dorn, C.V., Brown, A., Crock, J.G., Hageman, P.H., Meier, A., Sutley, S.J., Theodorakos, P.M., and Wilson, S.A., 2003, Geochemical data for stream sediment and surface water samples from Panther Creek, the Middle Fork of the Salmon River, and the Main Salmon River, collected before and after the Clear Creek, Little Pistol, and Shellrock wildfires of 2000 in central Idaho (Version 1.0; Supersedes U.S. Geological Survey Open-File Report 2001-161): U.S. Geological Survey Open-File Report 2003-152, HTML Document; CD-ROM, https://doi.org/10.3133/ofr03152.","productDescription":"HTML Document; CD-ROM","costCenters":[],"links":[{"id":178802,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":409081,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_67603.htm","linkFileType":{"id":5,"text":"html"}},{"id":4444,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/152/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Panther Creek, the Middle Fork of the Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.4667,\n 45.5\n ],\n [\n -115.4667,\n 44.5\n ],\n [\n -114,\n 44.5\n ],\n [\n -114,\n 45.5\n ],\n [\n -115.4667,\n 45.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0; Supersedes U.S. Geological Survey Open-File Report 2001-161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67af1f","contributors":{"authors":[{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Paul H.","contributorId":30973,"corporation":false,"usgs":true,"family":"Briggs","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":243567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rieffenberger, Betsy","contributorId":49662,"corporation":false,"usgs":true,"family":"Rieffenberger","given":"Betsy","email":"","affiliations":[],"preferred":false,"id":243569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorn, Carol Van Zoe","contributorId":19432,"corporation":false,"usgs":true,"family":"Dorn","given":"Carol","email":"","middleInitial":"Van Zoe","affiliations":[],"preferred":false,"id":243565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Ann","contributorId":13864,"corporation":false,"usgs":true,"family":"Brown","given":"Ann","affiliations":[],"preferred":false,"id":243564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":243560,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hageman, Philip H.","contributorId":32035,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":243568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meier, Allen","contributorId":29037,"corporation":false,"usgs":true,"family":"Meier","given":"Allen","affiliations":[],"preferred":false,"id":243566,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sutley, Stephen J.","contributorId":60296,"corporation":false,"usgs":true,"family":"Sutley","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":243570,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Theodorakos, Peter M. ptheodor@usgs.gov","contributorId":1566,"corporation":false,"usgs":true,"family":"Theodorakos","given":"Peter","email":"ptheodor@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilson, Stephen A. 0000-0002-9468-0005 swilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9468-0005","contributorId":1617,"corporation":false,"usgs":true,"family":"Wilson","given":"Stephen","email":"swilson@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":243563,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":51426,"text":"ofr03167 - 2003 - Location and age of foraminifer samples collected by Chevron Petroleum geologists in California","interactions":[],"lastModifiedDate":"2018-06-14T13:32:54","indexId":"ofr03167","displayToPublicDate":"2003-07-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-167","title":"Location and age of foraminifer samples collected by Chevron Petroleum geologists in California","docAbstract":"Most of the geologic maps published for parts of central California in the past century have been made without the benefit of ages from microfossils. The ages of Jurassic, Cretaceous and Tertiary rocks in the mostly poorly exposed and structurally complex sedimentary rocks represented in the Coast Ranges are critical in determining stratigraphic succession or lack of it, and in determining whether the juxtaposition of similar appearing but different age formations means that a fault is present. Since the 1940's, at least, oil company geologists have used microfossils to assist them in geologic mapping and in determining the environments of deposition of the sedimentary rocks containing them. This information had been so confidential that even the names of species were coded by some paleontologists to prevent disclosure. In the past 20 years, however, the attitude of petroleum companies about this information has changed, and many of the formerly confidential materials and reports are now available. We report here on an estimated 50,000 Chevron foraminifer samples from surface localities in more than 600 U.S. Geological Survey 7.5' quadrangles in California. Ages are provided for more than 27,000 of these samples which have been donated by Chevron, along with locality maps, paleontology reports, and other data, to the California Academy of Sciences. To our knowledge, this collection is the largest ever released to the public by a petroleum company for the West Coast. The information from the slides can be used to update geologic maps prepared without the benefit of microfossils, to study foraminifers of Jurassic, Cretaceous and Tertiary age collected from a variety of geologic environments, to analyze the depth and temperature of ocean water covering parts of California during these periods, and for solving nomenclature and other scientific problems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03167","usgsCitation":"Brabb, E.E., and Parker, J.M., 2003, Location and age of foraminifer samples collected by Chevron Petroleum geologists in California (Version 2.0; Revised April 15, 2005 (originally published 2003)): U.S. Geological Survey Open-File Report 2003-167, 13 p., https://doi.org/10.3133/ofr03167.","productDescription":"13 p.","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":177235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4439,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/of03-167/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 2.0; Revised April 15, 2005 (originally published 2003)","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b744","contributors":{"authors":[{"text":"Brabb, Earl E.","contributorId":48939,"corporation":false,"usgs":true,"family":"Brabb","given":"Earl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":243537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, John M.","contributorId":29053,"corporation":false,"usgs":true,"family":"Parker","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":243536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51424,"text":"ofr03169 - 2003 - Rainfall, runoff, and water-quality data for the urban storm-water program in the Albuquerque, New Mexico, metropolitan area, water year 2001","interactions":[],"lastModifiedDate":"2012-02-02T00:11:33","indexId":"ofr03169","displayToPublicDate":"2003-07-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-169","title":"Rainfall, runoff, and water-quality data for the urban storm-water program in the Albuquerque, New Mexico, metropolitan area, water year 2001","language":"ENGLISH","doi":"10.3133/ofr03169","usgsCitation":"Kelly, T., and Romero, O., 2003, Rainfall, runoff, and water-quality data for the urban storm-water program in the Albuquerque, New Mexico, metropolitan area, water year 2001: U.S. Geological Survey Open-File Report 2003-169, iv, 153 p. : col. ill., col. map ; 28 cm., https://doi.org/10.3133/ofr03169.","productDescription":"iv, 153 p. : col. ill., col. map ; 28 cm.","costCenters":[],"links":[{"id":177233,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0169/report-thumb.jpg"},{"id":86545,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0169/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649874","contributors":{"authors":[{"text":"Kelly, Todd","contributorId":89168,"corporation":false,"usgs":true,"family":"Kelly","given":"Todd","email":"","affiliations":[],"preferred":false,"id":243531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romero, Orlando","contributorId":92335,"corporation":false,"usgs":true,"family":"Romero","given":"Orlando","affiliations":[],"preferred":false,"id":243532,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}