{"pageNumber":"1076","pageRowStart":"26875","pageSize":"25","recordCount":46734,"records":[{"id":39896,"text":"ofr02296 - 2002 - Liquefaction hazard and shaking amplification maps of Alameda, Berkeley, Emeryville, Oakland, and Piedmont, California: a digital database","interactions":[],"lastModifiedDate":"2012-02-02T00:10:16","indexId":"ofr02296","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-296","title":"Liquefaction hazard and shaking amplification maps of Alameda, Berkeley, Emeryville, Oakland, and Piedmont, California: a digital database","language":"ENGLISH","doi":"10.3133/ofr02296","usgsCitation":"Holzer, T.L., Bennett, M.J., Noce, T.E., Tinsley, A.C., and Tinsley, J., 2002, Liquefaction hazard and shaking amplification maps of Alameda, Berkeley, Emeryville, Oakland, and Piedmont, California: a digital database: U.S. Geological Survey Open-File Report 2002-296, 11 p., 4 over-size sheets, https://doi.org/10.3133/ofr02296.","productDescription":"11 p., 4 over-size sheets","costCenters":[],"links":[{"id":110336,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52050.htm","linkFileType":{"id":5,"text":"html"},"description":"52050"},{"id":170412,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3603,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/of02-296/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4fe4","contributors":{"authors":[{"text":"Holzer, Thomas L. tholzer@usgs.gov","contributorId":2829,"corporation":false,"usgs":true,"family":"Holzer","given":"Thomas","email":"tholzer@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":222538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Michael J. mjbennett@usgs.gov","contributorId":2783,"corporation":false,"usgs":true,"family":"Bennett","given":"Michael","email":"mjbennett@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":222537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noce, Thomas E. tnoce@usgs.gov","contributorId":3174,"corporation":false,"usgs":true,"family":"Noce","given":"Thomas","email":"tnoce@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":222539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinsley, Amy C.","contributorId":93961,"corporation":false,"usgs":true,"family":"Tinsley","given":"Amy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":222541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tinsley, John C. III jtinsley@usgs.gov","contributorId":3266,"corporation":false,"usgs":true,"family":"Tinsley","given":"John C.","suffix":"III","email":"jtinsley@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":222540,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":38176,"text":"fs03202 - 2002 - Pesticides and their breakdown products in Lake Waxahachie, Texas, and in finished drinking water from the lake","interactions":[],"lastModifiedDate":"2017-01-12T16:58:21","indexId":"fs03202","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"032-02","title":"Pesticides and their breakdown products in Lake Waxahachie, Texas, and in finished drinking water from the lake","docAbstract":"<p>Since 1991, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program has collected pesticide data from streams and aquifers throughout the Nation (Gilliom and others, 1995). However, little published information on pesticides in public drinking water is available. The NAWQA Program usually collects data on the sources of drinking water but not on the finished drinking water. Therefore, the U.S. Environmental Protection Agency (USEPA), in conjunction with the NAWQA Program, has initiated a nationwide pilot project to collect information on concentrations of pesticides and their breakdown products in finished drinking water, in source waters such as reservoirs, and in the basins that contribute water to the reservoirs. </p><p>The pilot project was designed to collect water samples from finished drinking-water supplies and the associated source water from selected reservoirs that receive runoff from a variety of land uses. Lake Waxahachie, in Ellis County in north-central Texas, was chosen to represent a reservoir receiving water that includes runoff from cotton cropland. This fact sheet presents the results of pesticide sampling of source water from Lake Waxahachie and in finished drinking water from the lake. Analyses are compared to indicate differences in pesticide detections and concentrations between lake water and finished drinking water.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs03202","collaboration":"In cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Ging, P.B., 2002, Pesticides and their breakdown products in Lake Waxahachie, Texas, and in finished drinking water from the lake: U.S. Geological Survey Fact Sheet 032-02, HTML Document; Report: 2 p., https://doi.org/10.3133/fs03202.","productDescription":"HTML Document; Report: 2 p.","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125123,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_032_02.bmp"},{"id":333156,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/fs-032-02/pdf/FS_032-02.pdf","text":"Report","size":"762.74 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":3473,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs-032-02/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":" Lake Waxahachie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.79,\n              32.3\n            ],\n            [\n              -96.79,\n              32.38\n            ],\n            [\n              -96.88,\n              32.38\n            ],\n            [\n              -96.88,\n              32.3\n            ],\n            [\n              -96.79,\n              32.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686839","contributors":{"authors":[{"text":"Ging, Patricia B. 0000-0001-5491-8448 pbging@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-8448","contributorId":1788,"corporation":false,"usgs":true,"family":"Ging","given":"Patricia","email":"pbging@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":219266,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39816,"text":"wri024122 - 2002 - Water Quality in the Mahoning River and Selected Tributaries in Youngstown, Ohio","interactions":[],"lastModifiedDate":"2019-04-17T08:22:04","indexId":"wri024122","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-4122","displayTitle":"Water Quality in the Mahoning River and Selected Tributaries in Youngstown, Ohio","title":"Water Quality in the Mahoning River and Selected Tributaries in Youngstown, Ohio","docAbstract":"<p>The lower reaches of the Mahoning River in Youngstown, Ohio, have been characterized by the Ohio Environmental Protection Agency (OEPA) as historically having poor water quality. Most wastewater-treatment plants (WWTPs) in the watershed did not provide secondary sewage treatment until the late 1980s. By the late 1990s, the Mahoning River still received sewer-overflow discharges from 101 locations within the city of Youngstown, Ohio. The Mahoning River in Youngstown and Mill Creek, a principal tributary to the Mahoning River in Youngstown, have not met biotic index criteria since the earliest published assessment by OEPA in 1980. Youngstown and the OEPA are working together toward the goal of meeting water-quality standards in the Mahoning River. The U.S. Geological Survey collected information to help both parties assess water quality in the area of Youngstown and to estimate bacteria and inorganic nitrogen contributions from sewer-overflow discharges to the Mahoning River.</p><p>Two monitoring networks were established in the lower Mahoning River: the first to evaluate hydrology and microbiological and chemical water quality and the second to assess indices of fish and aquatic-macroinvertebrate-community health. Water samples and water-quality data were collected from May through October 1999 and 2000 to evaluate where, when, and for how long water quality was affected by sewer-overflow discharges. Water samples were collected during dry- and wet-weather flow, and biotic indices were assessed during the first year (1999). The second year of sample collection (2000) was directed toward evaluating changes in water quality during wet-weather flow, and specifically toward assessing the effect of sewer-overflow discharges on water quality in the monitoring network.</p><p>Water-quality standards for <i>Escherichia coli</i> (<i>E. coli</i>) concentration and draft criteria for nitrate plus nitrite and total phosphorus were the regulations most commonly exceeded in the Mahoning River and Mill Creek sampling networks. <i>E. coli</i>concentrations increased during wet-weather flow and remained higher than dry-weather concentrations for 48 hours after peak flow. <i>E. coli</i> concentration criteria were more commonly exceeded during wet-weather flow than during dry-weather flow. Exceedances of nutrient-concentration criteria were not substantially more common during wet-weather flow.</p><p>The fish and aquatic macroinvertebrate network included Mill Creek and its tributaries but did not include the main stem of the Mahoning River. Persistent exceedances of chemical water-quality standards in Mill Creek and the presence of nutrient concentrations in excess of draft criteria may have contributed to biotic index scores that on only one occasion met State criteria throughout the fish and aquatic macroinvertebrate sampling network.</p><p>Monitored tributary streams did not contribute concentrations of <i>E. coli</i>, nitrate plus nitrite, or total phosphorus to the Mahoning River and Mill Creek that were higher than main-stem concentrations, but monitored WWTP and sewer-overflow discharges did contribute. Twenty-four hour load estimates of sewer-overflow discharge contributions during wet-weather flow indicated that sewer-overflow discharges contributed large loads of bacteria and inorganic nitrogen to the Mahoning River relative to the instream load. The sewer-overflow loads appeared to move as a slug of highly enriched water that passed through Youngstown on the rising limb of the storm hydrograph. The median estimated sewer-overflow load contribution of bacteria was greater than the estimated instream load by a factor of five or more; however, the median estimated sewer-overflow load of inorganic nitrogen was less than half of the estimated instream load.</p><p>Sewer-overflow discharges contributed loads of <i>E. coli</i> and nutrients to the Mahoning River and Mill Creek at a point where the streams already did not meet State water-quality regulations. Improvement of water quality of the Mahoning River, Mill Creek, and tributaries at Youngstown would be facilitated by reducing loads from sewer-overflow discharges within Youngstown, by identifying and reducing other sources of <i>E. coli </i> and nutrients within Young-stown, and by reducing discharges of <i>E. coli </i>, nitrate plus nitrite, and total phosphorus to the Mahoning River and Mill Creek upstream from Youngstown.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024122","collaboration":"Prepared in cooperation with the City of Youngstown, Ohio","usgsCitation":"Stoeckel, D.M., and Covert, S., 2002, Water Quality in the Mahoning River and Selected Tributaries in Youngstown, Ohio: U.S. Geological Survey Water-Resources Investigations Report 2002-4122, 45 p., https://doi.org/10.3133/wri024122.","productDescription":"45 p.","costCenters":[],"links":[{"id":3556,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/2002/4122/wri20024122.pdf","text":"Report","size":"1.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRIR 2002-4122"},{"id":164735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4122/coverthb.jpg"}],"contact":"<p><a href=\"dc_oh@usgs.gov\" data-mce-href=\"dc_oh@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water/\" data-mce-href=\"https://www.usgs.gov/centers/oki-water/\">Ohio Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd. <br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrological and water-quality sampling networks</li><li>Field and laboratory methods</li><li>Hydrology of the Mahoning River and selected tributaries</li><li>Water quality of the Mahoning River and selected tributaries</li><li>Summary and conclusions</li><li>References</li><li>Appendix A. Additional water-quality data from sewer-overflow discharges, calendar year January 2000 to December 2000, in Youngstown, Ohio</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9a81","contributors":{"authors":[{"text":"Stoeckel, Donald M.","contributorId":78384,"corporation":false,"usgs":true,"family":"Stoeckel","given":"Donald","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":222253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Covert, S. Alex","contributorId":39426,"corporation":false,"usgs":true,"family":"Covert","given":"S. Alex","affiliations":[],"preferred":false,"id":222252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":39890,"text":"ofr0231 - 2002 - Archive of datasonic SIS-1000 chirp subbottom data collected during USGS cruise K-1-95-PS Lake Washington, State of Washington, 1995","interactions":[],"lastModifiedDate":"2012-02-02T00:10:16","indexId":"ofr0231","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-31","title":"Archive of datasonic SIS-1000 chirp subbottom data collected during USGS cruise K-1-95-PS Lake Washington, State of Washington, 1995","language":"ENGLISH","doi":"10.3133/ofr0231","usgsCitation":"Lyon, C.J., Brink, U., Nealon, J., Danforth, W., and Kayen, R., 2002, Archive of datasonic SIS-1000 chirp subbottom data collected during USGS cruise K-1-95-PS Lake Washington, State of Washington, 1995: U.S. Geological Survey Open-File Report 2002-31, 3 CD-ROMs : col. ill., col. maps ; 4 3/4 in., https://doi.org/10.3133/ofr0231.","productDescription":"3 CD-ROMs : col. ill., col. maps ; 4 3/4 in.","costCenters":[],"links":[{"id":169761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679c5a","contributors":{"authors":[{"text":"Lyon, Christopher J.","contributorId":20811,"corporation":false,"usgs":true,"family":"Lyon","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":222519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brink, Uri","contributorId":22413,"corporation":false,"usgs":true,"family":"Brink","given":"Uri","email":"","affiliations":[],"preferred":false,"id":222520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nealon, J.W.","contributorId":95111,"corporation":false,"usgs":true,"family":"Nealon","given":"J.W.","affiliations":[],"preferred":false,"id":222522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William","contributorId":49026,"corporation":false,"usgs":true,"family":"Danforth","given":"William","affiliations":[],"preferred":false,"id":222521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kayen, Robert","contributorId":12030,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","affiliations":[],"preferred":false,"id":222518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":39817,"text":"wri024125 - 2002 - Ground-water quality and effects of poultry confined animal feeding operations on shallow ground water, upper Shoal Creek basin, Southwest Missouri, 2000","interactions":[],"lastModifiedDate":"2012-02-02T00:09:58","indexId":"wri024125","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-4125","title":"Ground-water quality and effects of poultry confined animal feeding operations on shallow ground water, upper Shoal Creek basin, Southwest Missouri, 2000","docAbstract":"Forty-seven wells and 8 springs were sampled\r\nin May, October, and November 2000 in the upper Shoal Creek Basin, southwest Missouri, to determine if nutrient concentrations and fecal bacteria\r\ndensities are increasing in the shallow aquifer as a result of poultry confined animal feeding operations (CAFOs). Most of the land use in the basin is agricultural, with cattle and hay production\r\ndominating; the number of poultry CAFOs has increased in recent years. Poultry waste (litter) is used as a source of nutrients on pasture land as much as several miles away from poultry barns.Most wells in the sample network were classified\r\nas ?P? wells, which were open only or mostly to the Springfield Plateau aquifer and where poultry litter was applied to a substantial acreage within 0.5 mile of the well both in spring 2000 and in several previous years; and ?Ag? wells, which were open only or mostly to the Springfield Plateau aquifer and which had limited or no association with poultry CAFOs. Water-quality data from wells and springs were grouped for statistical purposes as P1, Ag1, and Sp1 (May 2000 samples) and P2, Ag2, and Sp2 (October or November 2000 samples). The results of this study do not indicate that poultry CAFOs are affecting the shallow ground water in the upper Shoal Creek Basin with respect to nutrient concentrations and fecal bacteria densities.\r\nStatistical tests do not indicate that P wells sampled in spring 2000 have statistically larger concentrations of nitrite plus nitrate or fecal indicator\r\nbacteria densities than Ag wells sampled during the same time, at a 95-percent confidence level. Instead, the Ag wells had statistically larger concentrations of nitrite plus nitrate and fecal coliform bacteria densities than the P wells.The results of this study do not indicate seasonal\r\nvariations from spring 2000 to fall 2000 in the concentrations of nutrients or fecal indicator bacteria densities from well samples. Statistical tests do not indicate statistically significant differences\r\nat a 95-percent confidence level for nitrite plus nitrate concentrations or fecal indicator bacteria\r\ndensities between either P wells sampled in spring and fall 2000, or Ag wells sampled in spring and fall 2000. However, analysis of samples from springs shows that fecal streptococcus bacteria densities were statistically smaller in fall 2000 than in spring 2000 at a 95-percent confidence level.Nitrite plus nitrate concentrations in spring 2000 samples ranged from less than the detection level [0.02 mg/L (milligram per liter) as nitrogen] to 18 mg/L as nitrogen. Seven samples from three wells had nitrite plus nitrate concentrations at or larger than the maximum contaminant level (MCL) of 10 mg/L as nitrogen. The median nitrite plus nitrate concentrations were 0.28 mg/L as nitrogen for P1 samples, 4.6 mg/L as nitrogen for Ag1 samples, and 3.9 mg/L as nitrogen for Sp1 samples.Fecal coliform bacteria were detected in 1 of 25 P1 samples and 5 of 15 Ag1 samples. Escherichia coli (E. coli) bacteria were detected in 3 of 24 P1 samples and 1 of 13 Ag1 samples. Fecal streptococcus\r\nbacteria were detected in 8 of 25 P1 samples\r\nand 6 of 15 Ag1 samples. Bacteria densities in samples from wells ranged from less than 1 to 81 col/100 mL (colonies per 100 milliliters) of fecal coliform, less than 1 to 140 col/100 mL of E. coli, and less than 1 to 130 col/100 mL of fecal streptococcus.\r\nFecal indicator bacteria densities in samples\r\nfrom springs were substantially larger than in samples from wells. In Sp1 samples, bacteria densities\r\nranged from 12 to 3,300 col/100 mL of fecal coliform, 40 to 2,700 col/100 mL of E. coli, and 42 to 3,100 col/100 mL of fecal streptococcus.","language":"ENGLISH","doi":"10.3133/wri024125","usgsCitation":"Mugel, D.N., 2002, Ground-water quality and effects of poultry confined animal feeding operations on shallow ground water, upper Shoal Creek basin, Southwest Missouri, 2000: U.S. Geological Survey Water-Resources Investigations Report 2002-4125, 41 p., https://doi.org/10.3133/wri024125.","productDescription":"41 p.","costCenters":[],"links":[{"id":3557,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://mo.water.usgs.gov/Reports/WRIR02-4125/index.htm","linkFileType":{"id":5,"text":"html"}},{"id":164736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6673f8","contributors":{"authors":[{"text":"Mugel, Douglas N. dmugel@usgs.gov","contributorId":290,"corporation":false,"usgs":true,"family":"Mugel","given":"Douglas","email":"dmugel@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":222254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39822,"text":"wri024194 - 2002 - Selected elements and organic chemicals in streambed sediment in the Salem area, Oregon, 1999","interactions":[],"lastModifiedDate":"2017-02-07T09:15:35","indexId":"wri024194","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-4194","title":"Selected elements and organic chemicals in streambed sediment in the Salem area, Oregon, 1999","docAbstract":"<p>Analysis of streambed sediments in the Salem, Oregon, area showed anomalously large concentrations of some elements and organic chemicals, indicating contamination from anthropogenic and/or geologic sources. The streambed sediment sample from Clark Creek, an urban basin, had large concentrations of polycyclic aromatic hyrdocarbons (PAHs), organochlorines, cadmium, lead, and zinc. The sample from the East Fork of Pringle Creek, which is a mostly urban basin, had the highest concentrations of DDD, DDE, and DDT compounds. Aldrin was detected in streambed sediment at only one site, the East Fork of Pringle Creek. Ten of the 14 sites sampled had exceedances of the sediment quality guidelines of the Canadian Council of Ministers of the Environment (CCME), and 8 sites had exceedances of guidelines from the Puget Sound Dredged Disposal Analysis (PSDDA) Program.</p>\n<p>Trace element concentrations in the Salem area generally were similar to those found previously in the Willamette Basin and nationally. However, cadmium, lead, and zinc concentrations were larger in the sample from Clark Creek than for largest value for Willamette Basin data from earlier studies. Zinc concentrations in the sample from Clark Creek exceeded sediment quality guidelines from the CCME and PSDDA.</p>\n<p>p,p'-DDE, which is a persistent breakdown product of the banned organochlorine-insecticide, DDT, was detected at all sites. Total DDT (the sum of p,p'-DDD, p,p'-DDE, and p,p'-DDT) concentrations exceeded the PSDDA screening level at eight sites and exceeded twice the PSDDA maximum level at the East Fork of Pringle Creek. Cis- and trans- chlordanes were detected at about 80% of the sites. The concentration of total chlordane for the sample at Clark Creek was larger than for any sample from previous Willamette Basin studies. The largest concentration of dieldrin also was from the sample at Clark Creek, which was the only site that exceeded the CCME guideline for dieldrin.</p>\n<p>The high levels of contaminants in some Salem area streams indicates the need for further study to assess the biological effects of these contaminants. Future monitoring in the Salem area could include bioassays using benthic invertebrates and the measurement of organochlorine compounds, including DDT, DDE, DDD, and dieldrin in fish tissue. Because resident fish may be consumed by humans and wildlife, fish tissue analyses would be helpful to determine the health risk associated with fish consumption.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri024194","collaboration":"Prepared in cooperation with the City of Salem, Oregon","usgsCitation":"Tanner, D.Q., 2002, Selected elements and organic chemicals in streambed sediment in the Salem Area, Oregon, 1999: U.S. Geological Survey Water-Resources Investigations Report 02–4194, 43 p..","productDescription":"43 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":164931,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4194/coverthb.jpg"},{"id":3561,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4194/wri02-4194.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PDF of report"}],"contact":"<p><a href=\"mailto:dc_or@usgs.gov\">Director</a>, Oregon Water Science Center<br /> U.S. Geological Survey<br /> 2130 SW 5th Avenue<br /> Portland, Oregon 97201<br /><a href=\"http://or.water.usgs.gov/\">http://or.water.usgs.gov</a>&nbsp;</p>","tableOfContents":"<ul>\n<li>Introduction</li>\n<li>Study Design and Methods</li>\n<li>Results</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendices</li>\n</ul>","publishedDate":"2002-09-13","noUsgsAuthors":false,"publicationDate":"2002-09-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9774","contributors":{"authors":[{"text":"Tanner, Dwight Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":222260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39894,"text":"ofr02269 - 2002 - Publications of Western Earth Surface Processes Team 2001","interactions":[],"lastModifiedDate":"2023-06-27T14:58:07.568208","indexId":"ofr02269","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-269","title":"Publications of Western Earth Surface Processes Team 2001","docAbstract":"The Western Earth Surface Processes Team (WESPT) of the U.S. Geological Survey (USGS) conducts geologic mapping and related topical earth-science studies in the Western United States. This work is focused on areas where modern geologic maps and associated earth-science data are needed to address key societal and environmental issues, such as ground-water quality, landslides and other potential geologic hazards, and land-use decisions. Areas of primary emphasis in 2001 included southern California, the San Francisco Bay region, the Pacific Northwest, and the Las Vegas urban corridor. The team has its headquarters in Menlo Park, California, and maintains smaller field offices at several other locations in the Western United States.\n\nThe results of research conducted by the WESPT are released to the public as a variety of databases, maps, text reports, and abstracts, both through the internal publication system of the USGS and in diverse external publications such as scientific journals and books. This report lists publications of the WESPT released in 2001, as well as additional 1999 and 2000 publications that were not included in the previous list (USGS Open-File Report 00–215 and USGS Open-File Report 01–198). Most of the publications listed were authored or coauthored by WESPT staff. The list also includes some publications authored by non-USGS cooperators with the WESPT, as well as some authored by USGS staff outside the WESPT in cooperation with WESPT projects.\n\nSeveral of the publications listed are available on the World Wide Web; for these, URL addresses are provided. Many of these web publications are USGS Open-File Reports that contain large digital databases of geologic map and related information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr02269","usgsCitation":"Powell, I.C., and Graymer, R., 2002, Publications of Western Earth Surface Processes Team 2001: U.S. Geological Survey Open-File Report 2002-269, 20 p., https://doi.org/10.3133/ofr02269.","productDescription":"20 p.","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":170410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr02269.jpg"},{"id":3602,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/0269/","linkFileType":{"id":5,"text":"html"}},{"id":283714,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2002/0269/pdf/of02-269.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a83a9","contributors":{"authors":[{"text":"Powell, II Charles Charles,(compiler)","contributorId":37254,"corporation":false,"usgs":true,"family":"Powell","given":"II","suffix":"Charles,(compiler)","email":"","middleInitial":"Charles","affiliations":[],"preferred":false,"id":222532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":222531,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":69561,"text":"i2747 - 2002 - Geological map of the Kaiwan Fluctus Quadrangle (V-44), Venus","interactions":[],"lastModifiedDate":"2016-12-28T14:15:08","indexId":"i2747","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2747","subseriesTitle":"GIS","title":"Geological map of the Kaiwan Fluctus Quadrangle (V-44), Venus","docAbstract":"Introduction\r\n\r\nThe Magellan spacecraft orbited Venus from August 10, 1990, until it plunged into the Venusian atmosphereon October 12, 1994. Magellan had the objectives of: (1) improving knowledge of the geologic processes, surface properties, and geologic history of Venus by analysis of surface radar characteristics, topography, and morphology and (2) improving knowledge of the geophysics of Venus by analysis of Venusian gravity.\r\n\r\nThe Magellan spacecraft carried a 12.6-cm radar system to map the surface of Venus. The transmitter and receiver systems were used to collect three datasets: synthetic aperture radar (SAR) images of the surface, passive microwave thermal emission observations, and measurements of the backscattered power at small angles of incidence, which were processed to yield altimetric data. Radar imaging and altimetric and radiometric mapping of the Venusian surface were done in mission cycles 1, 2, and 3, from September 1990 until September of 1992.\r\n\r\nNinety-eight percent of the surface was mapped with radar resolution of approximately 120 meters. The SAR observations were projected to a 75-m nominal horizontal resolution; these full-resolution data compose the image base used in geologic mapping. The primary polarization mode was horizontal-transmit, horizontal receive (HH), but additional data for selected areas were collected for the vertical polarization sense. Incidence angles varied from about 20? to 45?.\r\n\r\nHigh-resolution Doppler tracking of the spacecraft was done from September 1992 through October 1994 (mission cycles 4, 5, 6). High-resolution gravity observations from about 950 orbits were obtained between September 1992 and May 1993, while Magellan was in an elliptical orbit with a periapsis near 175 kilometers and an apoapsis near 8,000 kilometers. Observations from an additional 1,500 orbits were obtained following orbit-circularization in mid-1993. These data exist as a 75? by 75? harmonic field.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/i2747","usgsCitation":"Bridges, N.T., and McGill, G.E., 2002, Geological map of the Kaiwan Fluctus Quadrangle (V-44), Venus: U.S. Geological Survey IMAP 2747, Sheet 1, 46 by 40 inches (in color); sheet 2, 54 by 36 inches, https://doi.org/10.3133/i2747.","productDescription":"Sheet 1, 46 by 40 inches (in color); sheet 2, 54 by 36 inches","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":188171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10443,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/i2747/","linkFileType":{"id":5,"text":"html"}}],"scale":"4711886","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687851","contributors":{"authors":[{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":280594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGill, George E.","contributorId":47462,"corporation":false,"usgs":true,"family":"McGill","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":280595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":69382,"text":"i2770 - 2002 - Controlled photomosaic map of Callisto JC 15M CMN","interactions":[],"lastModifiedDate":"2013-12-20T10:18:33","indexId":"i2770","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2770","subseriesTitle":"GIS","title":"Controlled photomosaic map of Callisto JC 15M CMN","docAbstract":"This sheet is one in a series of maps of the Galilean satellites of Jupiter at a nominal scale of 1:15,000,000. This series is based on data from the Galileo Orbiter Solid-State Imaging (SSI) camera and the cameras of the Voyager 1 and 2 spacecraft. Mercator and Polar Stereographic projections used for this map of Callisto are based on a sphere having a radius of 2,409.3 km. The scale is 1:8,388,000 at ±56° latitude for both projections. Longitude increases to the west in accordance with the International Astronomical Union (1971) (Seidelmann and others, 2002). The geometric control network was computed at the RAND Corporation using RAND's most recent solution as of April 1999 (Davies and Katayama, 1981; Davies and others, 1998). This process involved selecting control points on the individual images, making pixel measurements of their locations, using reseau locations to correct for geometric distortions, and converting the measurements to millimeters in the focal plane. These data are combined with the camera focal lengths and navigation solutions as input to photogrammetric triangulation software that solves for the best-fit sphere, the coordinates of the control points, the three orientation angles of the camera at each exposure (right ascension, declination, and twist), and an angle (W0) which defines the orientation of Callisto in space. W0-in this solution 259.51°-is the angle along the equator to the east, between the 0° meridian and the equator's intersection with the celestial equator at the standard epoch J2000.0. This solution places the crater Saga at its defined longitude of 326° west (Seidelmann and others, 2002). This global map base uses the best image quality and moderate resolution coverage supplied by Galileo SSI and Voyager 1 and 2 (Batson, 1987; Becker and others, 1998; Becker and others, 1999; Becker and others, 2001). The digital map was produced using Integrated Software for Imagers and Spectrometers (ISIS) (Eliason, 1997; Gaddis and others, 1997; Torson and Becker, 1997). The individual images were radiometrically calibrated and photometrically normalized using a Lunar-Lambert function with empirically derived values (McEwen, 1991; Kirk and others, 2000). A linear correction based on the statistics of all overlapping areas was then applied to minimize image brightness variations. The image data were selected on the basis of overall image quality, reasonable original input resolution (from 20 km/pixel for gap fill to as much as 150 m/pixel), and availability of moderate emission/incidence angles for topography. Although consistency was achieved where possible, different filters were included for global image coverage as necessary: clear for Voyager 1 and 2; clear and green (559 nm) for Galileo SSI. Individual images were projected to a Sinusoidal Equal-Area projection at an image resolution of 1.0 kilometer/pixel. The final constructed Sinusoidal projection mosaic was then reprojected to the Mercator and Polar Stereographic projections included on this sheet. The final mosaic was enhanced using commercial software. Names on this sheet are approved by the International Astronomical Union. Names have been applied for features clearly visible at the scale of this map; for a complete list of nomenclature for Callisto, please see the Gazeteer of Planetary Nomenclature. Font color was chosen only for readability.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2770","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2002, Controlled photomosaic map of Callisto JC 15M CMN: U.S. Geological Survey IMAP 2770, 1 Plate: 46.00 x 40.00 inches; Purchasing information, https://doi.org/10.3133/i2770.","productDescription":"1 Plate: 46.00 x 40.00 inches; Purchasing information","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":188092,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6328,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2770/","linkFileType":{"id":5,"text":"html"}},{"id":280458,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/2770/pdf/i2770.pdf"},{"id":280459,"type":{"id":7,"text":"Companion Files"},"url":"https://store.usgs.gov/b2c_usgs/b2c/start/(xcm=r3standardpitrex_prd&carea=0000000027&citem=00000000270000000753)/.do"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687d23","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":534578,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":69318,"text":"mf2400 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2400","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2400","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California","docAbstract":"Introduction\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented sea cliff slope failures. Long-term average erosion rates calculated for this section of coast do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the sea cliffs where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence.\r\n\r\nThis is the third map in a series of maps prepared to document the processes of short-term sea cliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot. This map presents sea cliff failure and retreat data from the Seabright Beach section, California, which is located on the east side of Santa Cruz along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of sea cliff retreat in Santa Cruz, California. These data show the response of the sea cliffs to both large magnitude earthquakes and severe climatic events such as El Ni?os; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners. During this study we developed a method for investigating short-term processes of sea cliff evolution using rectified photographic stereo models. This method allows us to document the linear extent of cliff failures, the spatial and temporal relationship between failures, and the type or style of slope failure.\r\n\r\nSeabright Beach extends 0.9 km from San Lorenzo Point on the west to the Santa Cruz Yacht Harbor on the east. The cliffs at Seabright Beach are completely protected from wave attack by a wide beach. The protective beach is a relatively recent feature that formed after the emplacement of the Santa Cruz Yacht Harbor jetty in 1963-1964. Prior to the completion of the jetty, the cliffs at Seabright Beach were subject to daily wave attack. The data in this study are post-jetty construction; therefore, the sea cliff failures and cliff retreat are the result of nonmarine processes (rainfall, groundwater and seismic shaking). The 8 to 15 m high cliffs at Seabright Beach are composed of the Miocene to Pliocene Purisima Formation, which is overlain by unconsolidated Pleistocene terrace deposits. The relative thickness of these units varies along the length of the cliff. At the west end of Seabright Beach, including San Lorenzo Point, nearly the entire cliff section is composed of Purisima Formation and is capped by less than 2 m of terrace deposits. In this exposure, the Purisima Formation is a moderately weathered, moderately indurated massive sandstone. The height of the cliffs and the thickness of the Purisima Formation decrease to the east. In the cliffs immediately adjacent to the harbor, the entire exposure is composed of terrace deposits. Toe-slope debris and wind-blown sand form a nearly continuous fan along the cliff base that obscure the lower portion of the cliff.\r\n\r\nThis study documents the impacts of earthquakes and large storms to the sea cliffs in the Seabright Beach section. The first event is the 1989 Loma Prieta earthquake, a M7.1 earthquake that caused widespread damage to the area stretching from Santa Cruz to the San Francisco Bay. The epicenter of the earthquake was located in the Santa Cruz Mountains, approximately 9 km inland from the coast. Extensive block and debris falls, induced by the seismic shaking, occ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2400","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2400, Map: 58 x 37 inches, https://doi.org/10.3133/mf2400.","productDescription":"Map: 58 x 37 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110349,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52330.htm","linkFileType":{"id":5,"text":"html"},"description":"52330"},{"id":187806,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9545,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2400/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,36.950833333333335 ], [ -122,36.966944444444444 ], [ -121.98388888888888,36.966944444444444 ], [ -121.98388888888888,36.950833333333335 ], [ -122,36.950833333333335 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a85e4b07f02db64d2fe","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280067,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69316,"text":"mf2398 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2398","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2398","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California","docAbstract":"INTRODUCTION\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented seacliff slope failures. Long-term average erosion rates calculated for this section of coast (Moore and others, 1999) do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the seacliffs, where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence (Griggs and Scholar, 1998; Griggs, 1994; Plant and Griggs, 1990; Griggs and Johnson, 1979 and 1983; Kuhn and Shepard, 1979).\r\n\r\nThis is the first map in a series of maps documenting the processes of short-term seacliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot (Moore and others, 1999; Griggs and Savoy, 1985). This map presents seacliff failure and retreat data from Depot Hill, California, which is located five kilometers east of Santa Cruz (fig.1) near the town of Capitola, along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of seacliff retreat in Santa Cruz, California. These data show the response of the seacliffs to both large magnitude earthquakes and severe climatic events such as El NiOos; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners.\r\n\r\nFour sets of vertical aerial photographs (Oct. 18, 1989; Jan. 27, 1998; Feb. 9, 1998; and March 6, 1998) were orthorectified and digital terrain models (DTMs) were generated and edited for this study (see Hapke and Richmond, 2000, for description of techniques). The earliest set of photography is from 1989, taken immediately following the Loma Prieta earthquake. These photographs are used to document the response of the seacliffs to seismic shaking, as well as to establish an initial cliff-edge position to measure the amount of retreat of the cliff edge over the following decade. The remaining three sets of photographs were collected using the U.S. Geological Survey Coastal Aerial Mapping System (CAMS) during the 1997-98 El NiOo (see Hapke and Richmond, 1999, 2000). The CAMS photographs were taken before, during, and after severe storms and are used to examine seacliff response to these storms. In addition to the analyses of photogrammetrically processed data, field mapping identified joints, faults, and lithologic variations along this section of seacliff.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2398","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2398, Map: 54 x 34 inches, https://doi.org/10.3133/mf2398.","productDescription":"Map: 54 x 34 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110347,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52328.htm","linkFileType":{"id":5,"text":"html"},"description":"52328"},{"id":187616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9549,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2398/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.91777777777779,35.967777777777776 ], [ -122.91777777777779,36.966944444444444 ], [ -121.93388888888889,36.966944444444444 ], [ -121.93388888888889,35.967777777777776 ], [ -122.91777777777779,35.967777777777776 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b065","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69317,"text":"mf2399 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2399","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2399","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California","docAbstract":"INTRODUCTION\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented seacliff slope failures. Long-term average erosion rates calculated for this section of coast (Moore and others, 1999) do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the seacliffs, where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence (Griggs and Scholar, 1998; Griggs, 1994; Plant and Griggs, 1990; Griggs and Johnson, 1979 and 1983; Kuhn and Shepard, 1979).\r\n\r\nThis is the second map in a series of maps documenting the processes of short-term seacliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot (Moore and others, 1999; Griggs and Savoy, 1985). This map presents seacliff failure and retreat data from Seacliff State Beach, California, which is located seven kilometers east of Santa Cruz (fig. 1) along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of seacliff retreat in Santa Cruz, California. These data show the response of the seacliffs to both large magnitude earthquakes and severe climatic events such as El Ni?os; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners.\r\n\r\nFour sets of vertical aerial photographs (Oct. 18, 1989; Jan. 27, 1998; Feb. 9, 1998; and March 6, 1998) were orthorectified and digital terrain models (DTMs) were generated and edited for this study (see Hapke and Richmond, 2000, for description of techniques). The earliest set of photography is from 1989, taken immediately following the Loma Prieta earthquake. These photographs are used to document the response of the seacliffs to seismic shaking, as well as to establish a baseline cliff-edge position to measure the amount of retreat of the cliff edge over the following decade. The remaining three sets of photographs were collected using the U.S. Geological Survey Coastal Aerial Mapping System (CAMS) during the 1997-98 El Ni?o (see Hapke and Richmond, 1999; 2000). The CAMS photographs were taken before, during, and after severe storms and are used to examine seacliff response to these storms. In addition to the analyses of photogrammetrically processed data, field mapping identified joints, faults, and lithologic variations along this section of seacliff.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2399","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2399, Map: 54 x 37 inches, https://doi.org/10.3133/mf2399.","productDescription":"Map: 54 x 37 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110348,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52329.htm","linkFileType":{"id":5,"text":"html"},"description":"52329"},{"id":9548,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2399/","linkFileType":{"id":5,"text":"html"}},{"id":187702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.90083333333334,36.88388888888889 ], [ -121.90083333333334,37 ], [ -121.81777777777778,37 ], [ -121.81777777777778,36.88388888888889 ], [ -121.90083333333334,36.88388888888889 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649351","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69560,"text":"i2743 - 2002 - Geologic map of the Bell Regio Quadrangle (V-9), Venus","interactions":[],"lastModifiedDate":"2016-12-28T14:14:33","indexId":"i2743","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2743","subseriesTitle":"GIS","title":"Geologic map of the Bell Regio Quadrangle (V-9), Venus","docAbstract":"The Magellan spacecraft orbited Venus from August 10, 1990, until it plunged into the venusian atmosphere on October 12, 1994. Magellan had the objectives of (1) improving knowledge of the geologic processes, surface properties, and geologic history of Venus by analysis of surface radar characteristics, topography, and morphology and (2) improving knowledge of the geophysics of Venus by analysis of venusian gravity. The Magellan spacecraft carried a 12.6-cm radar system to map the surface of Venus. The transmitter and receiver systems were used to collect three datasets: synthetic aperture radar (SAR) images of the surface, passive microwave thermal emission observations, and measurements of the backscattered power at small angles of incidence, which were processed to yield altimetric data. Radar imaging and altimetric and radiometric mapping of the venusian surface were done in mission cycles 1, 2, and 3, from September 1990 until September 1992. Ninety-eight percent of the surface was mapped with radar resolution of approximately 120 meters. The SAR observations were projected to a 75-m nominal horizontal resolution; these full-resolution data compose the image base used in geologic mapping. The primary polarization mode was horizontal-transmit, horizontal-receive (HH), but additional data for selected areas were collected for the vertical polarization sense. Incidence angles varied from about 20° to 45°. High-resolution Doppler tracking of the spacecraft was done from September 1992 through October 1994 (mission cycles 4, 5, 6). High-resolution gravity observations from about 950 orbits were obtained between September 1992 and May 1993, while Magellan was in an elliptical orbit with a periapsis near 175 kilometers and an apoapsis near 8,000 kilometers. Observations from an additional 1,500 orbits were obtained following orbitcircularization in mid-1993. These data exist as a 75° by 75° harmonic field.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2743","usgsCitation":"Campbell, B.A., and Campbell, P.G., 2002, Geologic map of the Bell Regio Quadrangle (V-9), Venus: U.S. Geological Survey IMAP 2743, 1 Plate: 46.11 x 39.01 inches; Purchasing information, https://doi.org/10.3133/i2743.","productDescription":"1 Plate: 46.11 x 39.01 inches; Purchasing information","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":188611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/i2743.jpg"},{"id":6195,"rank":100,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/2743/pdf/i2743.pdf","linkFileType":{"id":5,"text":"html"}},{"id":280434,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2743/"}],"scale":"5000000","otherGeospatial":"Venus","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b0ee4b07f02db69fd00","contributors":{"authors":[{"text":"Campbell, Bruce A.","contributorId":39813,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":280592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Patricia G.","contributorId":53690,"corporation":false,"usgs":true,"family":"Campbell","given":"Patricia","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":280593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":50794,"text":"ofr02285 - 2002 - Feasibility of Estimating Constituent Concentrations and Loads Based on Data Recorded by Acoustic Instrumentation","interactions":[],"lastModifiedDate":"2012-02-02T00:11:32","indexId":"ofr02285","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","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":"2002-285","title":"Feasibility of Estimating Constituent Concentrations and Loads Based on Data Recorded by Acoustic Instrumentation","docAbstract":"The acoustic Doppler current profiler (ADCP) and acoustic Doppler velocity meter (ADVM) were used to estimate constituent concentrations and loads at a sampling site along the Hendry-Collier County boundary in southwestern Florida. The sampling site is strategically placed within a highly managed canal system that exhibits low and rapidly changing water conditions. With the ADCP and ADVM, flow can be gaged more accurately rather than by conventional field-data collection methods. \r\n\r\nAn ADVM velocity rating relates measured velocity determined by the ADCP (dependent variable) with the ADVM velocity (independent variable) by means of regression analysis techniques. The coefficient of determination (R2) for this rating is 0.99 at the sampling site. Concentrations and loads of total phosphorus, total Kjeldahl nitrogen, and total nitrogen (dependent variables) were related to instantaneous discharge, acoustic backscatter, stage, or water temperature (independent variables) recorded at the time of sampling. Only positive discharges were used for this analysis. Discharges less than 100 cubic feet per second generally are considered inaccurate (probably as a result of acoustic ray bending and vertical temperature gradients in the water column). \r\n\r\nOf the concentration models, only total phosphorus was statistically significant at the 95-percent confidence level (p-value less than 0.05). Total phosphorus had an adjusted R2 of 0.93, indicating most of the variation in the concentration can be explained by the discharge. All of the load models for total phosphorus, total Kjeldahl nitrogen, and total nitrogen were statistically significant. Most of the variation in load can be explained by the discharge as reflected in the adjusted R2 for total phosphorus (0.98), total Kjeldahl nitrogen (0.99), and total nitrogen (0.99).","language":"ENGLISH","doi":"10.3133/ofr02285","usgsCitation":"Lietz, A., 2002, Feasibility of Estimating Constituent Concentrations and Loads Based on Data Recorded by Acoustic Instrumentation: U.S. Geological Survey Open-File Report 2002-285, 10 p. (6 figures, 1 table, 9 p. of text), https://doi.org/10.3133/ofr02285.","productDescription":"10 p. (6 figures, 1 table, 9 p. of text)","costCenters":[],"links":[{"id":4592,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://fl.water.usgs.gov/Abstracts/ofr02_285_lietz.html","linkFileType":{"id":5,"text":"html"}},{"id":179322,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2002/0285/report-thumb.jpg"},{"id":86348,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2002/0285/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fee4b07f02db5f70d7","contributors":{"authors":[{"text":"Lietz, A.C.","contributorId":40957,"corporation":false,"usgs":true,"family":"Lietz","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":242319,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156326,"text":"70156326 - 2002 - A census of marine life: Unknowable or just unknown?","interactions":[],"lastModifiedDate":"2019-11-13T07:05:55","indexId":"70156326","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2930,"text":"Oceanologica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A census of marine life: Unknowable or just unknown?","docAbstract":"<p><span>As an introduction to the entire volume, this article outlines the relationships among the five elements of the Census of Marine Life (CoML) that create new knowledge: (1) The Ocean Biogeographic Information System (OBIS), a marine component of the Global Biodiversity Information Facility, links marine databases around the world to provide an Internet accessible, dynamic interface for comparing species-level, geo-referenced biodiversity data in relation to ocean habitats. The entire CoML field project data will be managed in and accessible through OBIS. (2) The History of Marine Animal Populations (HMAP) is a unique new synthesis of historical and biological research that will document marine biodiversity, globally, up to 500&nbsp;years ago, before significant human impact, and store it in formats compatible with modern data in OBIS. (3) The Scientific Committee on Oceanic Research Working Group 118 monitors and recommends advanced marine technologies, ready to be routinely used in CoML field projects. (4) CoML Initial Field Projects develop and calibrate these technologies in selected regions to facilitate and accelerate global biodiversity research. As calibrated technologies and protocols are adopted in many regions, qualitative and quantitative biodiversity discoveries accumulate. (5) The Future of Marine Animal Populations (FMAP) program will insure that the data in OBIS are suitable for modeling and predicting changes in global biodiversity in response to fishing, pollution, and climate change challenges. It will make datasets available for hindcasting and forecasting analyses linked to physical ocean observations and assist in documenting the impacts of conservation efforts on sustainability.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0399-1784(02)01208-2","usgsCitation":"Decker, C.J., and O’Dor, R., 2002, A census of marine life: Unknowable or just unknown?: Oceanologica Acta, v. 25, no. 5, p. 179-186, https://doi.org/10.1016/S0399-1784(02)01208-2.","productDescription":"8 p.","startPage":"179","endPage":"186","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":478607,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/s0399-1784(02)01208-2","text":"External Repository"},{"id":306966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d5a8a9e4b0518e3546a496","contributors":{"authors":[{"text":"Decker, Cynthia J.","contributorId":146678,"corporation":false,"usgs":false,"family":"Decker","given":"Cynthia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Dor, Ron","contributorId":146658,"corporation":false,"usgs":false,"family":"O’Dor","given":"Ron","email":"","affiliations":[],"preferred":false,"id":568692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201971,"text":"70201971 - 2002 - Carbon budget for a subtropical seagrass dominated coastal lagoon: How important are seagrasses to total ecosystem net primary production?","interactions":[],"lastModifiedDate":"2019-02-04T08:56:53","indexId":"70201971","displayToPublicDate":"2002-08-31T08:53:58","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1583,"text":"Estuaries","active":true,"publicationSubtype":{"id":10}},"title":"Carbon budget for a subtropical seagrass dominated coastal lagoon: How important are seagrasses to total ecosystem net primary production?","docAbstract":"<p><span>It has been assumed that because seagrasses dominate macrophyte biomass in many estuaries they also dominate primary production. We tested this assumption by developing three carbon budgets to examine the contribution of autotrophic components to the total ecosystem net primary production (TENPP) of Lower Laguna Madre, Texas. The first budget coupled average photosynthetic parameters with average daily irradiance to calculate daily production. The second budget used average photosynthetic parameters and hourly in situ irradiance to estimate productivity. The third budget integrated temperature-adjusted photosynthetic parameters (using Q</span><sub>10</sub><span>=2) and hourly in situ irradiance to estimate productivity. For each budget TENPP was calculated by integrating production from each autotroph based on the producers’ areal distribution within the entire Lower Laguna Madre. All budgets indicated that macroalgae account for 33–42% of TENPP and seagrasses consistently accounted for about 33–38%. The contribution by phytoplankton was consistently about 15–20%, and the contribution from the benthic microalgae varied between 8% and 36% of TENPP, although this may have been underestimated due to our exclusion of the within bed microphytobenthos component. The water column over the seagrass beds was net heterotrophic and consequently was a carbon sink consuming between 5% and 22% of TENPP, TENPP ranged between 5.41×10</span><sup>10</sup><span>&nbsp;and 2.53×10</span><sup>11</sup><span>&nbsp;g C yr</span><sup>−1</sup><span>, depending on which budget was used. The simplest, most idealized budget predicted the highest TENPP, while the more realistic budgets predicted lower values. Annual production rates estimated using the third budget for</span><i class=\"EmphasisTypeItalic \">Halodule urightii</i><span>&nbsp;and</span><i class=\"EmphasisTypeItalic \">Thalassia testudinum</i><span>&nbsp;compare well with field data. Macroalgae and microalgae contribute 50–60% of TENPP, and seagrass may be more important as three-dimensional habitat (i.e., structure) than as a source of organic carbon to the water column in Lower Laguna Madre.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/BF02804888","issn":"0160-8347","usgsCitation":"Kaldy, J., Onuf, C.P., Eldridge, P., and Cifuentes, L.A., 2002, Carbon budget for a subtropical seagrass dominated coastal lagoon: How important are seagrasses to total ecosystem net primary production?: Estuaries, v. 25, no. 4, p. 528-539, https://doi.org/10.1007/BF02804888.","productDescription":"12 p.","startPage":"528","endPage":"539","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":360948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Lower Laguna Madre","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.6739501953125,\n              26.02470207419855\n            ],\n            [\n              -96.9927978515625,\n              26.02470207419855\n            ],\n            [\n              -96.9927978515625,\n              27.21311366818236\n            ],\n            [\n              -97.6739501953125,\n              27.21311366818236\n            ],\n            [\n              -97.6739501953125,\n              26.02470207419855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaldy, James","contributorId":212701,"corporation":false,"usgs":false,"family":"Kaldy","given":"James","email":"","affiliations":[{"id":34980,"text":"Department of Oceanography, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":756381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onuf, Christopher P.","contributorId":55091,"corporation":false,"usgs":true,"family":"Onuf","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":756382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eldridge, Peter","contributorId":212702,"corporation":false,"usgs":false,"family":"Eldridge","given":"Peter","email":"","affiliations":[{"id":12485,"text":"Pacific Coastal Ecology Branch, Western Ecology Division, United States Environmental Protection Agency, Newport, Oregon, 97365","active":true,"usgs":false}],"preferred":false,"id":756383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cifuentes, Luis A.","contributorId":189345,"corporation":false,"usgs":false,"family":"Cifuentes","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":34980,"text":"Department of Oceanography, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":756384,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70164453,"text":"70164453 - 2002 - Response to comment on \"Pharmaceuticals, hormones, and other organic wastewater contaminants in U.S. streams, 1999-2000: A national reconnaissance\"","interactions":[],"lastModifiedDate":"2018-11-26T08:32:08","indexId":"70164453","displayToPublicDate":"2002-08-14T12:15:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Response to comment on \"Pharmaceuticals, hormones, and other organic wastewater contaminants in U.S. streams, 1999-2000: A national reconnaissance\"","docAbstract":"<p>We thank Ericson et al. (1) for their careful review and thoughtful comments on the synthetic hormone data presented in our recent publication summarizing the results from the USGS nationwide reconnaissance for pharmaceuticals and other organic wastewater contaminants (2). Their efforts have helped raise the awareness of the difficulties in accurately measuring these compounds at the low concentrations that occur in the environment and reinforce the need for continued research in the area of analytical methods development for synthetic hormones</p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es020136s","usgsCitation":"Kolpin, D.W., Furlong, E.T., Meyer, M.T., Thurman, E.M., Zaugg, S.D., Barber, L.B., and Buxton, H.T., 2002, Response to comment on \"Pharmaceuticals, hormones, and other organic wastewater contaminants in U.S. streams, 1999-2000: A national reconnaissance\": Environmental Science & Technology, v. 36, no. 18, p. 4007-4008, https://doi.org/10.1021/es020136s.","productDescription":"2 p.","startPage":"4007","endPage":"4008","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":316599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"18","noUsgsAuthors":false,"publicationDate":"2002-08-14","publicationStatus":"PW","scienceBaseUri":"56b5d658e4b0cc7999817394","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":597448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":597449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurman, E. Michael","contributorId":9636,"corporation":false,"usgs":true,"family":"Thurman","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":597450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":597451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":597452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":597453,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70170165,"text":"70170165 - 2002 - Development of a stream habitat index for the Northern Lakes and Forest Ecoregions","interactions":[],"lastModifiedDate":"2016-05-23T11:08:32","indexId":"70170165","displayToPublicDate":"2002-08-01T17:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of a stream habitat index for the Northern Lakes and Forest Ecoregions","docAbstract":"<p><span>Physical habitat was quantified in 105 randomly selected streams across the Northern Lakes and Forests Ecoregion during 1998 and 1999 to develop a stream habitat index for the region. Physical habitat measures (106) were classified into four groups: substrate, instream cover, riparian zone&ndash;land use, and geomorphology&ndash;hydrology. Variable reduction procedures yielded seven variables: sinuosity, percent of substrate gravel or larger, percent substrate as detritus or muck, percent of bank with forested cover, amount of bank erosion, number of large logs per 100 m, and mean length of pools. Streams were separated by a gradient value of 3 m/km (low&nbsp;</span><i>N</i><span>&nbsp;= 70; high&nbsp;</span><i>N</i><span>&nbsp;= 35) and assigned to model and test data sets. For low-gradient streams in the model data set, the seven habitat variables explained 47% of the variation in index of biotic integrity (IBI) scores. To produce the habitat index, the coefficients in the regression were used to weight each of the seven variables. For low-gradient streams in the test data set, the habitat index explained 20% of the variation in IBI scores. A habitat index could not be developed for high-gradient sites, probably due to the low number of sites. Comparison of habitat to IBI scores provides resource managers with a method to evaluate the contribution of habitat quality to the IBI score.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/1548-8675(2002)022<0452:DOASHI>2.0.CO;2","usgsCitation":"Goldstein, R.M., Wang, L., Simon, T.P., and Stewart, P.M., 2002, Development of a stream habitat index for the Northern Lakes and Forest Ecoregions: North American Journal of Fisheries Management, v. 22, no. 2, p. 452-464, https://doi.org/10.1577/1548-8675(2002)022<0452:DOASHI>2.0.CO;2.","productDescription":"13 p.","startPage":"452","endPage":"464","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Northern Lakes and Forests Ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.2080078125,\n              48.58205840283824\n            ],\n            [\n              -93.043212890625,\n              48.21735290928554\n            ],\n            [\n              -92.845458984375,\n              47.923704717745686\n            ],\n            [\n              -92.845458984375,\n              47.5913464767971\n            ],\n            [\n              -93.284912109375,\n              47.48008846346322\n            ],\n            [\n              -93.7353515625,\n              47.53945544742392\n            ],\n            [\n              -94.3505859375,\n              47.64318610543658\n            ],\n            [\n              -94.888916015625,\n              47.657987988142274\n            ],\n            [\n              -95.262451171875,\n              47.58393661978137\n            ],\n            [\n              -95.460205078125,\n              47.36115300722623\n            ],\n            [\n              -95.91064453125,\n              46.830133640447386\n            ],\n            [\n              -95.82275390625,\n              46.619261036171515\n            ],\n            [\n              -95.43823242187499,\n              46.649436163350245\n            ],\n            [\n              -95.152587890625,\n              46.649436163350245\n            ],\n            [\n              -94.932861328125,\n              46.42271253466719\n            ],\n            [\n              -94.757080078125,\n              46.240651955001695\n            ],\n            [\n              -94.658203125,\n              45.920587344733654\n            ],\n            [\n              -94.24072265625,\n              45.85941212790755\n            ],\n            [\n              -93.922119140625,\n              45.767522962149904\n            ],\n            [\n              -93.526611328125,\n              45.68315803253308\n            ],\n            [\n              -92.900390625,\n              45.57560020947799\n            ],\n            [\n              -92.6806640625,\n              45.583289756006316\n            ],\n            [\n              -92.318115234375,\n              45.55252525134013\n            ],\n            [\n              -91.856689453125,\n              45.506346901083425\n            ],\n            [\n              -91.571044921875,\n              45.590978249451936\n            ],\n            [\n              -91.58203125,\n              45.460130637921004\n            ],\n            [\n              -91.461181640625,\n              45.24395342262324\n            ],\n            [\n              -91.395263671875,\n              45.0502402697946\n            ],\n            [\n              -91.43920898437499,\n              44.83249999349062\n            ],\n            [\n              -91.109619140625,\n              44.762336674810996\n            ],\n            [\n              -90.85693359375,\n              44.77013681219717\n            ],\n            [\n              -90.626220703125,\n              44.88701247981298\n            ],\n            [\n              -90.142822265625,\n              44.933696389694674\n            ],\n            [\n              -89.923095703125,\n              44.941473354802504\n            ],\n            [\n              -89.615478515625,\n              44.95702412512118\n            ],\n            [\n              -89.2529296875,\n              44.88701247981298\n            ],\n            [\n              -88.824462890625,\n              44.941473354802504\n            ],\n            [\n              -88.61572265625,\n              44.95702412512118\n            ],\n            [\n              -88.08837890625,\n              45.01141864227728\n            ],\n            [\n              -87.835693359375,\n              44.92591837128866\n            ],\n            [\n              -87.5830078125,\n              44.98811302615805\n            ],\n            [\n              -87.484130859375,\n              45.166547157856016\n            ],\n            [\n              -87.374267578125,\n              45.38301927899065\n            ],\n            [\n              -87.2314453125,\n              45.56021795715051\n            ],\n            [\n              -87.03369140625,\n              45.81348649679971\n            ],\n            [\n              -86.923828125,\n              45.69850658738848\n            ],\n            [\n              -86.72607421875,\n              45.805828539928356\n            ],\n            [\n              -86.6162109375,\n              45.836454050187726\n            ],\n            [\n              -86.72607421875,\n              45.63708709571876\n            ],\n            [\n              -86.627197265625,\n              45.598665689820656\n            ],\n            [\n              -86.59423828125,\n              45.67548217560647\n            ],\n            [\n              -86.385498046875,\n              45.744526980468436\n            ],\n            [\n              -86.2646484375,\n              45.79816953017265\n            ],\n            [\n              -86.253662109375,\n              45.92822950933618\n            ],\n            [\n              -85.97900390625,\n              45.94351068030587\n            ],\n            [\n              -85.770263671875,\n              45.97406038956237\n            ],\n            [\n              -85.62744140625,\n              45.96642454131025\n            ],\n            [\n              -85.49560546875,\n              46.057985244793024\n            ],\n            [\n              -85.374755859375,\n              46.06560846138691\n            ],\n            [\n              -85.10009765625,\n              45.99696161820381\n            ],\n            [\n              -84.715576171875,\n              45.81348649679971\n            ],\n            [\n              -84.67163085937499,\n              46.03510927947334\n            ],\n            [\n              -84.30908203125,\n              46.00459325574482\n            ],\n            [\n              -83.78173828125,\n              45.9511496866914\n            ],\n            [\n              -83.49609375,\n              45.92822950933618\n            ],\n            [\n              -83.408203125,\n              45.96642454131025\n            ],\n            [\n              -83.583984375,\n              46.126556302418514\n            ],\n            [\n              -83.86962890625,\n              46.06560846138691\n            ],\n            [\n              -83.968505859375,\n              46.164614496897094\n            ],\n            [\n              -84.078369140625,\n              46.22545288226939\n            ],\n            [\n              -84.08935546875,\n              46.46056554578543\n            ],\n            [\n              -84.1552734375,\n              46.52863469527167\n            ],\n            [\n              -84.24316406249999,\n              46.475699386607516\n            ],\n            [\n              -84.5068359375,\n              46.50595444552051\n            ],\n            [\n              -84.67163085937499,\n              46.437856895024225\n            ],\n            [\n              -84.92431640625,\n              46.46056554578543\n            ],\n            [\n              -84.979248046875,\n              46.55130547880643\n            ],\n            [\n              -84.90234375,\n              46.7549166192819\n            ],\n            [\n              -85.1220703125,\n              46.7549166192819\n            ],\n            [\n              -85.40771484375,\n              46.694667307773116\n            ],\n            [\n              -85.7373046875,\n              46.65697731621612\n            ],\n            [\n              -86.044921875,\n              46.649436163350245\n            ],\n            [\n              -86.23168945312499,\n              46.649436163350245\n            ],\n            [\n              -86.572265625,\n              46.50595444552051\n            ],\n            [\n              -86.671142578125,\n              46.46056554578543\n            ],\n            [\n              -86.9677734375,\n              46.46813299215554\n            ],\n            [\n              -87.022705078125,\n              46.55886030311719\n            ],\n            [\n              -87.34130859375,\n              46.51351558059737\n            ],\n            [\n              -87.4951171875,\n              46.6795944656402\n            ],\n            [\n              -87.64892578125,\n              46.837649560937464\n            ],\n            [\n              -87.901611328125,\n              46.92025531537451\n            ],\n            [\n              -88.13232421875,\n              46.927758623434435\n            ],\n            [\n              -88.494873046875,\n              46.84516443029279\n            ],\n            [\n              -88.385009765625,\n              47.010225655683485\n            ],\n            [\n              -88.17626953125,\n              47.18224592701489\n            ],\n            [\n              -88.00048828124999,\n              47.31648293428332\n            ],\n            [\n              -87.769775390625,\n              47.36115300722623\n            ],\n            [\n              -87.637939453125,\n              47.44294999517949\n            ],\n            [\n              -87.9345703125,\n              47.50978034953473\n            ],\n            [\n              -88.22021484375,\n              47.487513008956554\n            ],\n            [\n              -88.52783203125,\n              47.3834738721015\n            ],\n            [\n              -88.74755859375,\n              47.2195681123155\n            ],\n            [\n              -88.96728515624999,\n              47.100044694025215\n            ],\n            [\n              -89.132080078125,\n              47.03269459852135\n            ],\n            [\n              -89.36279296875,\n              46.93526088057719\n            ],\n            [\n              -89.659423828125,\n              46.86770273172814\n            ],\n            [\n              -89.9560546875,\n              46.79253827035979\n            ],\n            [\n              -90.186767578125,\n              46.6795944656402\n            ],\n            [\n              -90.439453125,\n              46.604167162931844\n            ],\n            [\n              -90.65917968749999,\n              46.68713141244413\n            ],\n            [\n              -90.50537109375,\n              46.837649560937464\n            ],\n            [\n              -90.406494140625,\n              47.05515408550348\n            ],\n            [\n              -90.692138671875,\n              47.08508535995384\n            ],\n            [\n              -91.03271484375,\n              46.9502622421856\n            ],\n            [\n              -91.241455078125,\n              46.852678248531106\n            ],\n            [\n              -91.60400390625,\n              46.7549166192819\n            ],\n            [\n              -91.878662109375,\n              46.72480037466717\n            ],\n            [\n              -92.08740234375,\n              46.79253827035979\n            ],\n            [\n              -91.68090820312499,\n              46.965259400349275\n            ],\n            [\n              -91.329345703125,\n              47.16730970131578\n            ],\n            [\n              -91.07666015625,\n              47.3834738721015\n            ],\n            [\n              -90.76904296874999,\n              47.58393661978137\n            ],\n            [\n              -90.3955078125,\n              47.69497434186282\n            ],\n            [\n              -90.076904296875,\n              47.79101617826261\n            ],\n            [\n              -89.6484375,\n              47.931066347509784\n            ],\n            [\n              -89.571533203125,\n              48.011975126709956\n            ],\n            [\n              -89.82421875,\n              48.019324184801185\n            ],\n            [\n              -89.93408203124999,\n              47.99727386804474\n            ],\n            [\n              -89.97802734375,\n              48.070738264258296\n            ],\n            [\n              -90.164794921875,\n              48.100094697973795\n            ],\n            [\n              -90.47241210937499,\n              48.09275716032736\n            ],\n            [\n              -90.626220703125,\n              48.09275716032736\n            ],\n            [\n              -90.76904296874999,\n              48.100094697973795\n            ],\n            [\n              -90.87890625,\n              48.246625590713826\n            ],\n            [\n              -91.07666015625,\n              48.180738507303836\n            ],\n            [\n              -91.318359375,\n              48.09275716032736\n            ],\n            [\n              -91.5380859375,\n              48.070738264258296\n            ],\n            [\n              -91.62597656249999,\n              48.122101028190805\n            ],\n            [\n              -91.900634765625,\n              48.23930899024905\n            ],\n            [\n              -91.97753906249999,\n              48.31242790407178\n            ],\n            [\n              -92.076416015625,\n              48.356249029540706\n            ],\n            [\n              -92.252197265625,\n              48.3416461723746\n            ],\n            [\n              -92.26318359375,\n              48.23199134320962\n            ],\n            [\n              -92.373046875,\n              48.23199134320962\n            ],\n            [\n              -92.5048828125,\n              48.378145469762444\n            ],\n            [\n              -92.48291015625,\n              48.45835188280866\n            ],\n            [\n              -92.65869140625,\n              48.42920055556841\n            ],\n            [\n              -92.691650390625,\n              48.494767515307295\n            ],\n            [\n              -92.61474609375,\n              48.50932644976633\n            ],\n            [\n              -92.64770507812499,\n              48.545705491847464\n            ],\n            [\n              -92.779541015625,\n              48.56024979174331\n            ],\n            [\n              -92.955322265625,\n              48.61112192003074\n            ],\n            [\n              -93.2080078125,\n              48.63290858589532\n            ],\n            [\n              -93.27392578125,\n              48.65468584817256\n            ],\n            [\n              -93.2080078125,\n              48.58205840283824\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.516845703125,\n              48.17341248658084\n            ],\n            [\n              -88.846435546875,\n              48.06339653776211\n            ],\n            [\n              -89.307861328125,\n              47.908978314728685\n            ],\n            [\n              -89.241943359375,\n              47.87214396888731\n            ],\n            [\n              -89.132080078125,\n              47.85003078545827\n            ],\n            [\n              -89.000244140625,\n              47.908978314728685\n            ],\n            [\n              -88.79150390625,\n              47.931066347509784\n            ],\n            [\n              -88.604736328125,\n              48.026672195436014\n            ],\n            [\n              -88.516845703125,\n              48.17341248658084\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.36328125,\n              44.87144275016589\n            ],\n            [\n              -87.29736328125,\n              44.793530904744074\n            ],\n            [\n              -87.14355468749999,\n              44.98034238084973\n            ],\n            [\n              -87.022705078125,\n              45.19752230305685\n            ],\n            [\n              -86.8359375,\n              45.398449976304086\n            ],\n            [\n              -86.978759765625,\n              45.42158812329091\n            ],\n            [\n              -87.12158203125,\n              45.251688256117646\n            ],\n            [\n              -87.25341796875,\n              45.07352060670971\n            ],\n            [\n              -87.440185546875,\n              44.95702412512118\n            ],\n            [\n              -87.36328125,\n              44.87144275016589\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.72656249999999,\n              45.75219336063106\n            ],\n            [\n              -84.979248046875,\n              45.75219336063106\n            ],\n            [\n              -85.1220703125,\n              45.61403741135093\n            ],\n            [\n              -85.15502929687499,\n              45.4524242413431\n            ],\n            [\n              -84.935302734375,\n              45.413876460821086\n            ],\n            [\n              -84.91333007812499,\n              45.24395342262324\n            ],\n            [\n              -85.0341796875,\n              45.01141864227728\n            ],\n            [\n              -85.25390625,\n              44.75453548416007\n            ],\n            [\n              -85.40771484375,\n              44.67646564865964\n            ],\n            [\n              -85.594482421875,\n              44.449467536006935\n            ],\n            [\n              -85.89111328125,\n              44.276671273775186\n            ],\n            [\n              -85.98999023437499,\n              44.08758502824518\n            ],\n            [\n              -86.23168945312499,\n              44.02442151965934\n            ],\n            [\n              -86.24267578125,\n              43.77902662160831\n            ],\n            [\n              -86.099853515625,\n              43.70759350405294\n            ],\n            [\n              -85.88012695312499,\n              43.76315996157264\n            ],\n            [\n              -85.341796875,\n              43.77902662160831\n            ],\n            [\n              -85.166015625,\n              43.88205730390537\n            ],\n            [\n              -84.91333007812499,\n              43.92163712834673\n            ],\n            [\n              -84.814453125,\n              43.76315996157264\n            ],\n            [\n              -84.847412109375,\n              43.644025847699496\n            ],\n            [\n              -84.693603515625,\n              43.74728909225906\n            ],\n            [\n              -84.583740234375,\n              43.810747313446996\n            ],\n            [\n              -84.26513671875,\n              43.8503744993026\n            ],\n            [\n              -83.9794921875,\n              43.89789239125797\n            ],\n            [\n              -83.82568359375,\n              43.96909818325174\n            ],\n            [\n              -83.60595703125,\n              44.040218713142146\n            ],\n            [\n              -83.46313476562499,\n              44.2294565683017\n            ],\n            [\n              -83.408203125,\n              44.33956524809713\n            ],\n            [\n              -83.232421875,\n              44.731125592643274\n            ],\n            [\n              -83.29833984375,\n              44.91813929958515\n            ],\n            [\n              -83.375244140625,\n              44.98811302615805\n            ],\n            [\n              -83.25439453125,\n              45.00365115687189\n            ],\n            [\n              -83.33129882812499,\n              45.18978009667531\n            ],\n            [\n              -83.485107421875,\n              45.36758436884978\n            ],\n            [\n              -83.86962890625,\n              45.4524242413431\n            ],\n            [\n              -84.0234375,\n              45.52944081525666\n            ],\n            [\n              -84.18823242187499,\n              45.66780526567164\n            ],\n            [\n              -84.39697265625,\n              45.706179285330855\n            ],\n            [\n              -84.48486328124999,\n              45.65244828675087\n            ],\n            [\n              -84.72656249999999,\n              45.75219336063106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572485dfe4b0b13d391593dd","contributors":{"authors":[{"text":"Goldstein, Robert M.","contributorId":68267,"corporation":false,"usgs":true,"family":"Goldstein","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":626311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lizhu","contributorId":44888,"corporation":false,"usgs":true,"family":"Wang","given":"Lizhu","affiliations":[],"preferred":false,"id":626312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simon, Thomas P.","contributorId":77081,"corporation":false,"usgs":true,"family":"Simon","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":626313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Paul M.","contributorId":63336,"corporation":false,"usgs":true,"family":"Stewart","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":626314,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185668,"text":"70185668 - 2002 - The dependence of estuarine turbidity on tidal intrusion length, tidal range and residence time","interactions":[],"lastModifiedDate":"2018-11-28T09:13:19","indexId":"70185668","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"The dependence of estuarine turbidity on tidal intrusion length, tidal range and residence time","docAbstract":"<p><span>It is shown that there is a marked tendency for long, strongly tidal estuaries to have greater suspended particulate matter (SPM) concentrations within their high-turbidity regions than shorter estuaries with comparable tidal ranges at their mouths, or weakly tidal estuaries. Using consistently derived data from 44 estuaries in Europe and the Americas, contours of the logarithm of maximum estuarine SPM concentration are shown to be reasonably smooth when plotted against the logarithm of mean spring tidal range (at the estuary mouth) and the logarithm of estuarine tidal length. Predictions from the plot are compared with published observations made in the Delaware, Scheldt, Rio de la Plata, Gironde, Bay of Fundy, Changjiang (Yangtze), Amazon, Patos Lagoon and the Hawkesbury Estuary and it is shown that, qualitatively, there are no serious discrepancies. Short, weakly tidal estuaries are predicted to have very low ‘intrinsic’ SPM concentrations. High SPM concentrations in these estuaries would most likely be the result of either locally generated wave resuspension, high freshwater sediment loads due to freshets, or intruding seawater carrying suspended sediments derived from wave activity in the coastal zone. Application of a generic tidal model demonstrates that longer estuaries possess faster tidal currents for a given tidal range at their mouth and, in the presence of a supply of erodable fine sediment, therefore (by implication) produce greater concentrations of SPM that can be accumulated within a turbidity maximum. The same is true if the tidal range is increased for estuaries of a given length. These features are illustrated by comparing surveys of SPM data from two large estuaries possessing greatly different tidal ranges (the microtidal, medium turbidity Potomac and the macrotidal, highly turbid Humber-Ouse) and a third, much smaller but strongly tidal estuary (the low-turbidity Tweed). It is demonstrated that longer estuaries tend to have longer flushing times for solutes than shorter systems and that larger tides tend to reduce flushing times, although the tidal influence is secondary. Short, rapidly flushed estuaries quickly lose their erodable fine sediment to the coastal zone during freshets and during the ebbing currents of spring tides. Turbidity is therefore small during low runoff, low wave activity conditions. Very long, very slowly flushed estuaries are unlikely to lose a significant fraction of their resuspended sediments during freshets or individual ebb tides and are therefore able to accumulate large and increasing amounts of fine sediment in the long-term. Turbidity within them is therefore high during the fast currents of large spring tides.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0278-4343(02)00041-9","usgsCitation":"Uncles, R., Stephens, J., and Smith, R.E., 2002, The dependence of estuarine turbidity on tidal intrusion length, tidal range and residence time: Continental Shelf Research, v. 22, no. 11-13, p. 1835-1856, https://doi.org/10.1016/S0278-4343(02)00041-9.","productDescription":"22 p. ","startPage":"1835","endPage":"1856","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"11-13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58da2538e4b0543bf7fda843","contributors":{"authors":[{"text":"Uncles, R.J.","contributorId":33468,"corporation":false,"usgs":true,"family":"Uncles","given":"R.J.","affiliations":[],"preferred":false,"id":686298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, J.A.","contributorId":66026,"corporation":false,"usgs":true,"family":"Stephens","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":686299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, R. E.","contributorId":76366,"corporation":false,"usgs":true,"family":"Smith","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":686300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":50797,"text":"ofr0282 - 2002 - Hydrologic, water-quality, and sediment-quality data for the Christmas Bay system, Brazoria County, Texas, February 1999-March 2000","interactions":[],"lastModifiedDate":"2024-02-12T22:47:14.397677","indexId":"ofr0282","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","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":"2002-82","title":"Hydrologic, water-quality, and sediment-quality data for the Christmas Bay system, Brazoria County, Texas, February 1999-March 2000","docAbstract":"The Christmas Bay system is a group of three small secondary bays (Christmas, Bastrop, and Drum Bays) at the southwestern end of the Galveston Bay estuarine system in Brazoria County, Texas. During February 1999-March 2000, hydrologic, water-quality, and sediment-quality data were collected from each of the three bays to establish baseline conditions. Gage-height fluctuations closely matched open-water tidal fluctuations. Rainfall during February 1999-February 2000 was about 20 percent below the annual average. Specific conductance, pH, water temperature, and dissolved oxygen monitored at 30-minute intervals in Christmas Bay for 13 months showed seasonal variations typical of monitoring stations on the Texas Gulf Coast. Prevailing winds were from the southeast. Monthly water-quality sampling for 13 months showed that in each of the three bays concentrations of major ions were small, and most nutrient concentrations were at or less than minimum reporting levels; indicator bacteria counts were consistently higher in samples collected from Drum Bay. Several trace elements (sampled twice) were detected in small concentrations. The only organochlorine pesticides (sampled once) that were greater than minimum reporting levels were atrazine, deethylatrazine, metolachlor, and simazine. During February 29-March 29, 2000, three semipermeable membrane devices were deployed at the Christmas Bay monitoring station. Seven of 77 semivolatile organic compounds analyzed in the lipids from the devices were detected in minute amounts. Analyses of surficial bed sediment sampled once in each of the three bays yielded detections of a number of semivolatile organic compounds; all concentrations were less than 10 micrograms per liter and much less than the respective benchmark concentration for those compounds that have had a benchmark concentration established for the protection of aquatic life.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr0282","collaboration":"In cooperation with the Houston-Galveston Area Council","usgsCitation":"East, J., 2002, Hydrologic, water-quality, and sediment-quality data for the Christmas Bay system, Brazoria County, Texas, February 1999-March 2000: U.S. Geological Survey Open-File Report 2002-82, iii, 43 p., https://doi.org/10.3133/ofr0282.","productDescription":"iii, 43 p.","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":425578,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52067.htm","linkFileType":{"id":5,"text":"html"}},{"id":9159,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/ofr02-082/","linkFileType":{"id":5,"text":"html"}},{"id":333407,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2002/ofr02-082/pdf/02-082.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":178415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr0282.JPG"}],"country":"United States","state":"Texas","county":"Brazoria County","otherGeospatial":"Bastrop Bay, Christmas Bay, Drum Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.8,\n              28.5\n            ],\n            [\n              -95.8,\n              29.7\n            ],\n            [\n              -94.5,\n              29.7\n            ],\n            [\n              -94.5,\n              28.5\n            ],\n            [\n              -95.8,\n              28.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db6051f3","contributors":{"authors":[{"text":"East, Jeffery W. jweast@usgs.gov","contributorId":1683,"corporation":false,"usgs":true,"family":"East","given":"Jeffery W.","email":"jweast@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":242328,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39800,"text":"wri024059 - 2002 - Effectiveness of three best management practices for highway-runoff quality along the Southeast Expressway, Boston, Massachusetts","interactions":[],"lastModifiedDate":"2012-02-02T00:10:35","indexId":"wri024059","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","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":"2002-4059","title":"Effectiveness of three best management practices for highway-runoff quality along the Southeast Expressway, Boston, Massachusetts","docAbstract":"Best management practices (BMPs) near highways are designed to reduce the amount of suspended sediment and associated constituents, including debris and litter, discharged from the roadway surface. The effectiveness of a deep-sumped hooded catch basin, three 2-chambered 1,500-gallon oil-grit separators, and mechanized street sweeping in reducing sediment and associated constituents was examined along the Southeast Expressway (Interstate Route 93) in Boston, Massachusetts. Repeated observations of the volume and distribution of bottom material in the oil-grit separators, including data on particle-size distributions, were compared to data from bottom material deposited during the initial 3 years of operation. The performance of catch-basin hoods and the oil-grit separators in reducing floating debris was assessed by examining the quantity of material retained by each structural BMP compared to the quantity of material retained by and discharged from the oil-grit separators, which received flow from the catch basins. The ability of each structural BMP to reduce suspended-sediment loads was assessed by examining (a) the difference in the concentrations of suspended sediment in samples collected simultaneously from the inlet and outlet of each BMP, and (b) the difference between inlet loads and outlet loads during a 14-month monitoring period for the catch basin and one separator, and a 10-month monitoring period for the second separator. The third separator was not monitored continuously; instead, samples were collected from it during three visits separated in time by several months. Suspended-sediment loads for the entire study area were estimated on the basis of the long-term average annual precipitation and the estimated inlet and outlet loads of two of the separators. The effects of mechanized street sweeping were assessed by evaluating the differences between suspended-sediment loads before and after street sweeping, relative to storm precipitation totals, and by comparing the particle-size distributions of sediment samples collected from the sweepers to bottom-material samples collected from the structural BMPs. A mass-balance calculation was used to quantify the accuracy of the estimated sediment-removal efficiency for each structural BMP. The ability of each structural BMP to reduce concentrations of inorganic and organic constituents was assessed by determining the differences in concentrations between the inlets and outlets of the BMPs for four storms. The inlet flows of the separators were sampled during five storms for analysis of fecal-indicator bacteria. The particle-size distribution of bottom material found in the first and second chambers of the separators was similar for all three separators. Consistent collection of floatable debris at the outlet of one separator during 12 storms suggests that floatable debris were not indefinitely retained.Concentrations of suspended sediment in discrete samples of runoff collected from the inlets of the two separators ranged from 8.5 to 7,110 mg/L. Concentrations of suspended sediment in discrete samples of runoff collected from the outlets of the separators ranged from 5 to 2,170 mg/L. The 14-month sediment-removal efficiency was 35 percent for one separator, and 28 percent for the second separator. In the combined-treatment system in this study, where catch basins provided primary suspended-sediment treatment, the separators reduced the mass of the suspended sediment from the pavement by about an additional 18 percent. The concentrations of suspended sediment in discrete samples of runoff collected from the inlet of the catch basin ranged from 32 to 13,600 mg/L. Concentrations of suspended sediment in discrete samples of runoff collected from the outlet of the catch basin ranged from 25.7 to 7,030 mg/L. The sediment-removal efficiency for individual storms during the 14-month monitoring period for the deep-sumped hooded catch basin was 39 percent.The concentrations of 29 in","language":"ENGLISH","doi":"10.3133/wri024059","usgsCitation":"Smith, K.P., 2002, Effectiveness of three best management practices for highway-runoff quality along the Southeast Expressway, Boston, Massachusetts: U.S. Geological Survey Water-Resources Investigations Report 2002-4059, 62 p., one CD-ROM, https://doi.org/10.3133/wri024059.","productDescription":"62 p., one CD-ROM","costCenters":[],"links":[{"id":172590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024059","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db625299","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":222217,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39798,"text":"wri014197 - 2002 - Ground-water levels and potentiometric surfaces, Naval Air Warfare Center, West Trenton, New Jersey, 2000","interactions":[],"lastModifiedDate":"2020-10-29T20:07:15.166296","indexId":"wri014197","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","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":"2001-4197","title":"Ground-water levels and potentiometric surfaces, Naval Air Warfare Center, West Trenton, New Jersey, 2000","docAbstract":"<p>Water levels were measured in wells at the decommissioned Naval Air Warfare Center in West Trenton, N.J., during 2000. Water-level hydro­graphs prepared from data collected at seven obser­vation wells on the base show changes caused by seasonal and daily climate conditions and by the pumping of contaminated water from recovery wells. Stressed and unstressed potentiometric sur­faces for 2000 are similar in shape to those during 1995–99, but are not as deep. The greatest differ­ences between the potentiometric surfaces in 2000 and those in 1995–99 were caused by turning off sump pumps in NAWC buildings when the base was closed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri014197","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Lacombe, P., 2002, Ground-water levels and potentiometric surfaces, Naval Air Warfare Center, West Trenton, New Jersey, 2000 (Version 1.1: August 2018): U.S. Geological Survey Water-Resources Investigations Report 2001-4197, v, 38 p., https://doi.org/10.3133/wri014197.","productDescription":"v, 38 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":122293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2001/4197/coverthb.jpg"},{"id":67678,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2001/4197/wri20014197.pdf","text":"Report","size":"4.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2001-4197"},{"id":356945,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/wri/2001/4197/versionHist.txt","text":"Version History","size":"1.04 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"Naval Air Warfare Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.8167,\n              40.2667\n            ],\n            [\n              -74.8083,\n              40.2667\n            ],\n            [\n              -74.8083,\n              40.275\n            ],\n            [\n              -74.8167,\n              40.275\n            ],\n            [\n              -74.8167,\n              40.2667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: August 2018","contact":"<p>Director, <a href=\"https://nj.usgs.gov/\" data-mce-href=\"https://nj.usgs.gov/\">New Jersey Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike<br>Suite 110<br>Lawrenceville, NJ 08648</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Collection</li><li>Ground-water levels</li><li>Summary</li><li>References Cited</li></ul>","revisedDate":"2018-08-30","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db668317","contributors":{"authors":[{"text":"Lacombe, Pierre J. placombe@usgs.gov","contributorId":2486,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre J.","email":"placombe@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":222213,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":32804,"text":"pp1663 - 2002 - Subsurface and petroleum geology of the southwestern Santa Clara Valley (\"Silicon Valley\"), California","interactions":[],"lastModifiedDate":"2023-06-27T15:59:41.712326","indexId":"pp1663","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1663","title":"Subsurface and petroleum geology of the southwestern Santa Clara Valley (\"Silicon Valley\"), California","docAbstract":"<p>Gravity anomalies, historical records of exploratory oil wells and oil seeps, new organic-geochemical results, and new stratigraphic and structural data indicate the presence of a concealed, oil-bearing sedimentary basin beneath a highly urbanized part of the Santa Clara Valley, Calif. A conspicuous isostatic-gravity low that extends about 35 km from Palo Alto southeastward to near Los Gatos reflects an asymmetric, northwest-trending sedimentary basin comprising low-density strata, principally of Miocene age, that rest on higher-density rocks of Mesozoic and Paleogene(?) age. Both gravity and well data show that the low-density rocks thin gradually to the northeast over a distance of about 10 km. The thickest (approx 4 km thick) accumulation of low-density material occurs along the basin's steep southwestern margin, which may be controlled by buried, northeast-dipping normal faults that were active during the Miocene. Movement along these hypothetical normal faults may been contemporaneous (approx 17–14 Ma) with sedimentation and local dacitic and basaltic volcanism, possibly in response to crustal extension related to passage of the northwestward-migrating Mendocino triple junction. During the Pliocene and Quaternary, the normal faults and Miocene strata were overridden by Mesozoic rocks, including the Franciscan Complex, along northeastward-vergent reverse and thrust faults of the Berrocal, Shannon, and Monte Vista Fault zones. Movement along these fault zones was accompanied by folding and tilting of strata as young as Quaternary and by uplift of the modern Santa Cruz Mountains; the fault zones remain seismically active. We attribute the Pliocene and Quaternary reverse and thrust faulting, folding, and uplift to compression caused by local San Andreas Fault tectonics and regional transpression along the Pacific-North American Plate boundary.</p>\n<br>\n<p>Near the southwestern margin of the Santa Clara Valley, as many as 20 exploratory oil wells were drilled between 1891 and 1929 to total depths as great as 840 m. At least one pump unit is still standing. Although no lithologic or paleontologic samples are available from the wells, driller's logs indicate the presence of thick intervals of brown shale and sandstone resembling nearby outcrops of the Miocene Monterey Formation. Small amounts of oil and gas were observed in several wells, but commercial production was never established. Oil from the Peck well in Los Gatos is highly biodegraded, contains biomarkers commonly found in oils derived from the Monterey Formation, and has a stable-C-isotopic (d13C) composition of –23.32 permil, indicating derivation from a Miocene Monterey Formation source rock. Preliminary calculations suggest that about 1 billion barrels of oil may have been generated from source rocks within the Monterey Formation in the deepest part of the subsurface sedimentary basin between Los Gatos and Cupertino. Most of this oil was probably lost to biodegradation, oxidation, and leakage to the surface, but some oil may have accumulated in as-yet-undiscovered structural and stratigraphic traps along the complex structural boundary between the Santa Clara Valley and the Santa Cruz Mountains. Although some of these undiscovered accumulations of oil may be of commercial size, future petroleum exploration is unlikely because most of the area is currently devoted to residential, recreational, commercial, and industrial uses.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1663","usgsCitation":"Stanley, R.G., Jachens, R.C., Lillis, P.G., McLaughlin, R.J., Kvenvolden, K.A., Hostettler, F.D., McDougall, K.A., and Magoon, L.B., 2002, Subsurface and petroleum geology of the southwestern Santa Clara Valley (\"Silicon Valley\"), California: U.S. Geological Survey Professional Paper 1663, iv, 55 p., https://doi.org/10.3133/pp1663.","productDescription":"iv, 55 p.","numberOfPages":"59","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":60785,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1663/pdf/pp1663.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":123121,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1663/report-thumb.jpg"},{"id":3368,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1663/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley, Silicon Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699b24","contributors":{"authors":[{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":209216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":209213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":209215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":209214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kvenvolden, Keith A. kkvenvolden@usgs.gov","contributorId":3384,"corporation":false,"usgs":true,"family":"Kvenvolden","given":"Keith","email":"kkvenvolden@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":209219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hostettler, Frances D. fdhostet@usgs.gov","contributorId":3383,"corporation":false,"usgs":true,"family":"Hostettler","given":"Frances","email":"fdhostet@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":209218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDougall, Kristin A.","contributorId":69146,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":209220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Magoon, Leslie B. lmagoon@usgs.gov","contributorId":2383,"corporation":false,"usgs":true,"family":"Magoon","given":"Leslie","email":"lmagoon@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":209217,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":39887,"text":"ofr2002319 - 2002 - Rainfall, Streamflow, and Water-Quality Data During Stormwater Monitoring, Halawa Stream Drainage Basin, Oahu, Hawaii, July 1, 2001 to June 30, 2002","interactions":[],"lastModifiedDate":"2012-03-08T17:16:16","indexId":"ofr2002319","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","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":"2002-319","title":"Rainfall, Streamflow, and Water-Quality Data During Stormwater Monitoring, Halawa Stream Drainage Basin, Oahu, Hawaii, July 1, 2001 to June 30, 2002","docAbstract":"The State of Hawaii Department of Transportation Stormwater Monitoring Program was implemented on January 1, 2001. The program includes the collection of rainfall, streamflow, and water-quality data at selected sites in the Halawa Stream drainage basin. Rainfall data were collected at two sites, and streamflow data were collected at 3 sites for the year July 1, 2001 to June 30, 2002. Water-quality data were collected at five sites, which include the three streamflow sites.\r\n\r\nSix storms were sampled during the year July 1, 2001 to June 30, 2002, for a total of 44 samples. For each storm event, grab samples were collected nearly simultaneously at all five sites, and flow-weighted, time-composite samples were collected at the three sites equipped with automatic samplers. Samples were analyzed for nutrients, trace metals, oil and grease, total petroleum hydrocarbons, fecal coliform, biological oxygen demand, chemical oxygen demand, total suspended solids, and total dissolved solids. Quality assurance samples were also collected to verify analytical procedures and insure proper cleaning of equipment.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr2002319","collaboration":"Prepared in cooperation with the State of Hawaii Department of Transportation","usgsCitation":"Presley, T.K., 2002, Rainfall, Streamflow, and Water-Quality Data During Stormwater Monitoring, Halawa Stream Drainage Basin, Oahu, Hawaii, July 1, 2001 to June 30, 2002: U.S. Geological Survey Open-File Report 2002-319, vi, 47 p., https://doi.org/10.3133/ofr2002319.","productDescription":"vi, 47 p.","temporalStart":"2001-07-01","temporalEnd":"2002-06-30","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":3598,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://hi.water.usgs.gov/publications/pubs/ofr/ofr02-319.html","linkFileType":{"id":5,"text":"html"}},{"id":124015,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2002_319.jpg"},{"id":13738,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/319/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.96666666666667,21.333333333333332 ], [ -157.96666666666667,21.466666666666665 ], [ -157.8,21.466666666666665 ], [ -157.8,21.333333333333332 ], [ -157.96666666666667,21.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d6a2","contributors":{"authors":[{"text":"Presley, Todd K. 0000-0001-5851-0634 tkpresle@usgs.gov","orcid":"https://orcid.org/0000-0001-5851-0634","contributorId":2671,"corporation":false,"usgs":true,"family":"Presley","given":"Todd","email":"tkpresle@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":222512,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":39884,"text":"ofr02310 - 2002 - Statistical tables and charts showing geochemical variation in the Mesoproterozoic Big Creek, Apple Creek, and Gunsight formations, Lemhi group, Salmon River Mountains and Lemhi Range, central Idaho","interactions":[],"lastModifiedDate":"2017-03-07T16:05:16","indexId":"ofr02310","displayToPublicDate":"2002-08-01T00:00:00","publicationYear":"2002","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":"2002-310","title":"Statistical tables and charts showing geochemical variation in the Mesoproterozoic Big Creek, Apple Creek, and Gunsight formations, Lemhi group, Salmon River Mountains and Lemhi Range, central Idaho","docAbstract":"The principal purpose of this report is to provide a reference archive for results of a statistical analysis of geochemical data for metasedimentary rocks of Mesoproterozoic age of the Salmon River Mountains and Lemhi Range, central Idaho. Descriptions of geochemical data sets, statistical methods, rationale for interpretations, and references to the literature are provided. Three methods of analysis are used: R-mode factor analysis of major oxide and trace element data for identifying petrochemical processes, analysis of variance for effects of rock type and stratigraphic position on chemical composition, and major-oxide ratio plots for comparison with the chemical composition of common clastic sedimentary rocks.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr02310","usgsCitation":"Lindsey, D.A., Tysdal, R.G., and Taggart, J.E., 2002, Statistical tables and charts showing geochemical variation in the Mesoproterozoic Big Creek, Apple Creek, and Gunsight formations, Lemhi group, Salmon River Mountains and Lemhi Range, central Idaho: U.S. Geological Survey Open-File Report 2002-310, 68 p., https://doi.org/10.3133/ofr02310.","productDescription":"68 p.","costCenters":[],"links":[{"id":170204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3595,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/ofr-02-0310/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4893e4b07f02db520e42","contributors":{"authors":[{"text":"Lindsey, David A. 0000-0002-9466-0899 dlindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-9466-0899","contributorId":773,"corporation":false,"usgs":true,"family":"Lindsey","given":"David","email":"dlindsey@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":222506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tysdal, Russell G.","contributorId":1700,"corporation":false,"usgs":true,"family":"Tysdal","given":"Russell","email":"","middleInitial":"G.","affiliations":[],"preferred":true,"id":222507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taggart, Joseph E. Jr.","contributorId":66317,"corporation":false,"usgs":true,"family":"Taggart","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":222508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}