This report summarizes findings from the third year of a 4-year-long field investigation to document selected baseline environmental conditions in 29 agricultural drains and ponds operated by the Imperial Irrigation District along the southern border of the Salton Sea. Routine water quality and fish species were measured at roughly quarterly intervals from April 2007 to January 2008. The water quality measurements included total suspended solids and total (particulate plus dissolved) selenium. In addition, during April and October 2007, water samples were collected from seven intensively monitored drains for measurement of particulate and dissolved selenium, including inorganic and organic fractions. In addition, sediment, aquatic food chain matrices (particulate organic detritus, filamentous algae, net plankton, and midge [chironomid] larvae), and two fish species (western mosquitofish, Gambusia affinis; and sailfin molly, Poecilia latipinna) were sampled from the seven drains for measurement of total selenium concentrations. The mosquitofish and mollies were intended to serve as surrogates for desert pupfish (Cyprinodon macularius), an endangered species that we were not permitted to take for selenium determinations. Water quality values were typical of surface waters in a hot desert climate. A few drains exhibited brackish, near anoxic conditions especially during the summer and fall when water temperatures occasionally exceeded 30°C. In general, total selenium concentrations in water varied directly with conductivity and inversely with pH. Although desert pupfish were found in several drains, sometimes in relatively high numbers, the fish faunas of most drains and ponds were dominated by nonnative species, especially red shiner (Cyprinella lutrensis), mosquitofish, and mollies. Dissolved selenium in water samples from the seven intensively monitored drains ranged from 0.700 to 24.1 µg/L, with selenate as the major constituent in all samples. Selenium concentrations in other matrices varied widely among drains and ponds, with at least one drain (for example, Trifolium 18) exhibiting especially high concentrations in food chain organisms (in detritus, 13.3–28.9 µg Se/g; in net plankton, 11.9–19.3 µg Se/g; in midge larvae, 12.7–15.4 µg Se/g) and fish (in mollies, 12.8-25.1 µg Se/g; in mosquitofish, 13.2-20.2 µg Se/g; all concentrations are dry weights). These elevated concentrations approached or exceeded average concentrations reported from flowing waters in seleniferous wetlands in the San Joaquin Valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081271","collaboration":"Prepared in cooperation with the Imperial Irrigation District","usgsCitation":"Saiki, M.K., Martin, B.A., and May, T.W., 2008, Year 3 summary report: Baseline selenium monitoring of agricultural drains operated by the Imperial Irrigation District in the Salton Sea Basin: U.S. Geological Survey Open-File Report 2008-1271, vi, 76 p., https://doi.org/10.3133/ofr20081271.","productDescription":"vi, 76 p.","temporalStart":"2007-04-01","temporalEnd":"2008-01-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":195310,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402561,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84442.htm","linkFileType":{"id":5,"text":"html"}},{"id":357252,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1271/pdf/ofr20081271.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":11793,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1271/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Salton Sea Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.80276489257812,\n 33.071404753339934\n ],\n [\n -115.60707092285155,\n 33.071404753339934\n ],\n [\n -115.60707092285155,\n 33.33511774753217\n ],\n [\n -115.80276489257812,\n 33.33511774753217\n ],\n [\n -115.80276489257812,\n 33.071404753339934\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db6857e9","contributors":{"authors":[{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":297208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":297207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":297206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255620,"text":"70255620 - 2008 - Multiple deleterious effects of experimentally aged sperm in a monogamous bird","interactions":[],"lastModifiedDate":"2024-06-26T15:46:56.129949","indexId":"70255620","displayToPublicDate":"2008-09-16T10:40:12","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Multiple deleterious effects of experimentally aged sperm in a monogamous bird","docAbstract":"Sperm aging is known to be detrimental to reproductive performance. However, this apparently general phenomenon has seldom been studied in an evolutionary context. The negative impact of sperm aging on parental fitness should constitute a strong selective pressure for adaptations to avoid its effects. We studied the impact of sperm aging on black-legged kittiwakes (Rissa tridactyla), a monogamous seabird. Kittiwakes comprise a model system because (i) of evidence that females eject their mates' sperm to prevent fertilization by sperm that would be old and degraded by the time of fertilization and result in reduced reproductive performance and (ii) the lack of extra-pair fertilization in this species makes cryptic female choice an unlikely explanation of postcopulatory sperm ejection by females. We experimentally manipulated the age of the sperm fertilizing kittiwake eggs by fitting males with anti-insemination rings for variable periods of time preceding egg-laying. We found evidence that sperm aging negatively affected four sequential stages of reproduction: fertilization potential, rate of embryonic development, embryonic mortality, and chick condition at hatching. These results may be produced by a continuum of a single process of sperm aging that differentially affects various aspects of development, depending on the degree of damage incurred to the spermatozoa. The marked impact of sperm age on female fitness may thus drive postcopulatory sperm ejection by females. These results provide experimental evidence of deleterious effects of sperm aging on a nondomestic vertebrate, underlining its taxonomic generality and its potential to select for a wide array of adaptations.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.0803067105","usgsCitation":"White, J., Wagner, R., Helfenstein, F., Hatch, S., Mulard, H., Liliana, N., and Danchin, E., 2008, Multiple deleterious effects of experimentally aged sperm in a monogamous bird: PNAS, v. 105, no. 37, p. 13947-13952, https://doi.org/10.1073/pnas.0803067105.","productDescription":"6 p.","startPage":"13947","endPage":"13952","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":476592,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2544559","text":"External Repository"},{"id":430524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"37","noUsgsAuthors":false,"publicationDate":"2008-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Joel","contributorId":60100,"corporation":false,"usgs":false,"family":"White","given":"Joel","email":"","affiliations":[],"preferred":false,"id":904963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Richard H.","contributorId":94943,"corporation":false,"usgs":false,"family":"Wagner","given":"Richard H.","affiliations":[],"preferred":false,"id":904964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helfenstein, F.","contributorId":63922,"corporation":false,"usgs":true,"family":"Helfenstein","given":"F.","email":"","affiliations":[],"preferred":false,"id":904965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott A.","contributorId":201044,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott A.","affiliations":[],"preferred":false,"id":904966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mulard, Herve","contributorId":104602,"corporation":false,"usgs":false,"family":"Mulard","given":"Herve","email":"","affiliations":[],"preferred":false,"id":904967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liliana, Naves.","contributorId":218218,"corporation":false,"usgs":false,"family":"Liliana","given":"Naves.","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danchin, Etienne","contributorId":69034,"corporation":false,"usgs":true,"family":"Danchin","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":904969,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":86208,"text":"ofr20061339 - 2008 - Water-chemistry data for selected springs, geysers, and streams in Yellowstone National Park, Wyoming, 2003-2005","interactions":[],"lastModifiedDate":"2022-07-06T18:59:26.048241","indexId":"ofr20061339","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2006-1339","title":"Water-chemistry data for selected springs, geysers, and streams in Yellowstone National Park, Wyoming, 2003-2005","docAbstract":"Water analyses are reported for 157 samples collected from numerous hot springs, their overflow drainages, and Lemonade Creek in Yellowstone National Park (YNP) during 2003–2005. Water samples were collected and analyzed for major and trace constituents from ten areas of YNP including Terrace and Beryl Springs in the Gibbon Canyon area, Norris Geyser Basin, the West Nymph Creek thermal area, the area near Nymph Lake, Hazle Lake, and Frying Pan Spring, Lower Geyser Basin, Washburn Hot Springs, Mammoth Hot Springs, Potts Hot Spring Basin, the Sulphur Caldron area, and Lemonade Creek near the Solfatara Trail. These water samples were collected and analyzed as part of research investigations in YNP on arsenic, antimony, and sulfur redox distribution in hot springs and overflow drainages, and the occurrence and distribution of dissolved mercury. Most samples were analyzed for major cations and anions, trace metals, redox species of antimony, arsenic, iron, nitrogen, and sulfur, and isotopes of hydrogen and oxygen. Analyses were performed at the sampling site, in an on-site mobile laboratory vehicle, or later in a U.S. Geological Survey laboratory, depending on stability of the constituent and whether it could be preserved effectively.
Water samples were filtered and preserved onsite. Water temperature, specific conductance, pH, Eh (redox potential relative to the Standard Hydrogen Electrode), and dissolved hydrogen sulfide were measured onsite at the time of sampling. Acidity was determined by titration, usually within a few days of sample collection. Alkalinity was determined by titration within 1 to 2 weeks of sample collection. Concentrations of thiosulfate and polythionate were determined as soon as possible (generally minutes to hours after sample collection) by ion chromatography in an on-site mobile laboratory vehicle. Total dissolved-iron and ferrous-iron concentrations often were measured onsite in the mobile laboratory vehicle.
Concentrations of dissolved aluminum, arsenic, boron, barium, beryllium, calcium, cadmium, cobalt, chromium, copper, iron, potassium, lithium, magnesium, manganese, molybdenum, sodium, nickel, lead, selenium, silica, strontium, vanadium, and zinc were determined by inductively-coupled plasma-optical emission spectrometry. Trace concentrations of dissolved antimony, cadmium, cobalt, chromium, copper, lead, and selenium were determined by Zeeman-corrected graphite-furnace atomic-absorption spectrometry. Dissolved concentrations of total arsenic, arsenite, total antimony, and antimonite were determined by hydride-generation atomic-absorption spectrometry using a flow-injection analysis system. Dissolved concentrations of total mercury and methyl mercury were determined by cold-vapor atomic-fluorescence spectrometry. Concentrations of dissolved chloride, fluoride, nitrate, bromide, and sulfate were determined by ion chromatography. Concentrations of dissolved ferrous and total iron were determined by the FerroZine colorimetric method. Concentrations of dissolved nitrite were determined by colorimetry or chemiluminescence. Concentrations of dissolved ammonium were determined by ion chromatography, with reanalysis by colorimetry when separation of sodium and ammonia peaks was poor. Dissolved organic carbon concentrations were determined by the wet persulfate oxidation method. Hydrogen and oxygen isotope ratios were determined using the hydrogen and CO2 equilibration techniques, respectively.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061339","usgsCitation":"Ball, J.W., McCleskey, R.B., Nordstrom, D.K., and Holloway, J.M., 2008, Water-chemistry data for selected springs, geysers, and streams in Yellowstone National Park, Wyoming, 2003-2005 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1339, viii, 137 p., https://doi.org/10.3133/ofr20061339.","productDescription":"viii, 137 p.","onlineOnly":"Y","temporalStart":"2003-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":190787,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403090,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84414.htm","linkFileType":{"id":5,"text":"html"}},{"id":11786,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1339/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.8833,\n 44.4\n ],\n [\n -110.25,\n 44.4\n ],\n [\n -110.25,\n 45\n ],\n [\n -110.8833,\n 45\n ],\n [\n -110.8833,\n 44.4\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f0e4b07f02db5edf43","contributors":{"authors":[{"text":"Ball, James W.","contributorId":38946,"corporation":false,"usgs":true,"family":"Ball","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":297184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","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},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":297183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":297185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":297182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":86206,"text":"ds331 - 2008 - Comparison of Water Years 2004-05 and Historical Water-Quality Data, Upper Gunnison River Basin, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"ds331","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"331","title":"Comparison of Water Years 2004-05 and Historical Water-Quality Data, Upper Gunnison River Basin, Colorado","docAbstract":"Population growth and changes in land use have the potential to affect water quality and quantity in the upper Gunnison River Basin. In 1995, the U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, City of Gunnison, Colorado River Water Conservation District, Crested Butte South Metropolitan District, Gunnison County, Hinsdale County, Mount Crested Butte Water and Sanitation District, National Park Service, Town of Crested Butte, Upper Gunnison River Water Conservancy District, and Western State College, established a water-quality monitoring program in the upper Gunnison River Basin to characterize current water-quality conditions and to assess the effects of increased urban development and other land-use changes on water quality. The monitoring network has evolved into two groups of stations - stations that are considered long term and stations that are considered rotational. The long-term stations are monitored to assist in defining temporal changes in water quality (how conditions may change over time). The rotational stations are monitored to assist in the spatial definition of water-quality conditions (how conditions differ throughout the basin) and to address local and short-term concerns. Some stations in the rotational group were changed beginning in water year 2007. Annual summaries of the water-quality data from the monitoring network provide a point of reference for discussions regarding water-quality monitoring in the upper Gunnison River Basin.\r\n\r\nThis summary includes data collected during water years 2004 and 2005. The introduction provides a map of the sampling sites, definitions of terms, and a one-page summary of selected water-quality conditions at the network stations. The remainder of the summary is organized around the data collected at individual stations. Data collected during water years 2004 and 2005 are compared to historical data, State water-quality standards, and Federal water-quality guidelines. Data were collected following USGS protocols.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds331","collaboration":"Prepared in cooperation with the Bureau of Land Management, City of Gunnison, Colorado River Water Conservation District, Crested Butte South Metropolitan District, Gunnison County, Hinsdale County, Mount Crested Butte Water and Sanitation District, National Park Service, Town of Crested Butte, Upper Gunnison River Water Conservancy District, Western State College","usgsCitation":"Spahr, N.E., Hartle, D.M., and Diaz, P., 2008, Comparison of Water Years 2004-05 and Historical Water-Quality Data, Upper Gunnison River Basin, Colorado (Version 1.0): U.S. Geological Survey Data Series 331, vi, 54 p., https://doi.org/10.3133/ds331.","productDescription":"vi, 54 p.","onlineOnly":"Y","temporalStart":"2003-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":190853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11783,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/331/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.75,37.75 ], [ -107.75,39.083333333333336 ], [ -106.25,39.083333333333336 ], [ -106.25,37.75 ], [ -107.75,37.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae3f7","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":297177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartle, David M.","contributorId":81194,"corporation":false,"usgs":true,"family":"Hartle","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":297179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, Paul","contributorId":46631,"corporation":false,"usgs":true,"family":"Diaz","given":"Paul","affiliations":[],"preferred":false,"id":297178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86205,"text":"ofr20081270 - 2008 - Liquefaction hazard maps for three earthquake scenarios for the communities of San Jose, Campbell, Cupertino, Los Altos, Los Gatos, Milpitas, Mountain View, Palo Alto, Santa Clara, Saratoga, and Sunnyvale, Northern Santa Clara County, California","interactions":[],"lastModifiedDate":"2019-07-18T09:46:49","indexId":"ofr20081270","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-1270","title":"Liquefaction hazard maps for three earthquake scenarios for the communities of San Jose, Campbell, Cupertino, Los Altos, Los Gatos, Milpitas, Mountain View, Palo Alto, Santa Clara, Saratoga, and Sunnyvale, Northern Santa Clara County, California","docAbstract":"Maps showing the probability of surface manifestations of liquefaction in the northern Santa Clara Valley were prepared with liquefaction probability curves. The area includes the communities of San Jose, Campbell, Cupertino, Los Altos, Los Gatos Milpitas, Mountain View, Palo Alto, Santa Clara, Saratoga, and Sunnyvale. The probability curves were based on complementary cumulative frequency distributions of the liquefaction potential index (LPI) for surficial geologic units in the study area. LPI values were computed with extensive cone penetration test soundings. Maps were developed for three earthquake scenarios, an M7.8 on the San Andreas Fault comparable to the 1906 event, an M6.7 on the Hayward Fault comparable to the 1868 event, and an M6.9 on the Calaveras Fault. Ground motions were estimated with the Boore and Atkinson (2008) attenuation relation. Liquefaction is predicted for all three events in young Holocene levee deposits along the major creeks. Liquefaction probabilities are highest for the M7.8 earthquake, ranging from 0.33 to 0.37 if a 1.5-m deep water table is assumed, and 0.10 to 0.14 if a 5-m deep water table is assumed. Liquefaction probabilities of the other surficial geologic units are less than 0.05. Probabilities for the scenario earthquakes are generally consistent with observations during historical earthquakes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081270","usgsCitation":"Holzer, T.L., Noce, T.E., and Bennett, M.J., 2008, Liquefaction hazard maps for three earthquake scenarios for the communities of San Jose, Campbell, Cupertino, Los Altos, Los Gatos, Milpitas, Mountain View, Palo Alto, Santa Clara, Saratoga, and Sunnyvale, Northern Santa Clara County, California (Version 1.0): U.S. Geological Survey Open-File Report 2008-1270, Report: iii, 29 p.; 3 Plates: 44 x 34 inches or smaller; GIS Files; Google Earth View; CPT Data, https://doi.org/10.3133/ofr20081270.","productDescription":"Report: iii, 29 p.; 3 Plates: 44 x 34 inches or smaller; GIS Files; Google Earth View; CPT Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":195166,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11782,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1270/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4fc7","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":297175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":297176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":297174,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86201,"text":"sim2996 - 2008 - Geologic map of the Prescott National Forest and the headwaters of the Verde River, Yavapai and Coconino Counties, Arizona","interactions":[],"lastModifiedDate":"2022-01-11T22:20:17.265185","indexId":"sim2996","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2996","title":"Geologic map of the Prescott National Forest and the headwaters of the Verde River, Yavapai and Coconino Counties, Arizona","docAbstract":"This 1:100,000-scale digital geologic map details the complex Early Proterozoic metavolcanic and plutonic basement of north-central Arizona; shows the mildly deformed cover of Paleozoic rocks; reveals where Laramide to mid-Tertiary plutonic rocks associated with base- and precious-metals deposits are exposed; subdivides the Tertiary volcanic rocks according to chemically named units; and maps the Pliocene to Miocene fill of major basins. Associated digital files include more than 1,300 geochemical analyses of all rock units; 1,750 logs of water wells deeper than 300 feet; and interpreted logs of 300 wells that define the depth to basement in major basins. Geophysically interpreted buried features include normal faults defining previous unknown basins, mid-Tertiary intrusive rocks, and half-grabens within shallow bains.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim2996","isbn":"9781411320901","usgsCitation":"DeWitt, E., Langenheim, V., Force, E., Vance, R.K., Lindberg, P.A., and Driscoll, R.L., 2008, Geologic map of the Prescott National Forest and the headwaters of the Verde River, Yavapai and Coconino Counties, Arizona (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2996, Report: iv, 100 p.; 1 Plate: 76 x 51.5 inches; Downloads Directory, https://doi.org/10.3133/sim2996.","productDescription":"Report: iv, 100 p.; 1 Plate: 76 x 51.5 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":195145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11778,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2996/","linkFileType":{"id":5,"text":"html"}},{"id":110790,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84409.htm","linkFileType":{"id":5,"text":"html"},"description":"84409"}],"scale":"100000","projection":"Universal Transverse Mercator","country":"United States","state":"Arizona","county":"Coconino County, Yavapai County","otherGeospatial":"Prescott National Forest and the headwaters of the Verde River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.0653,\n 34.0953\n ],\n [\n -111.65,\n 34.0953\n ],\n [\n -111.65,\n 35.2319\n ],\n [\n -113.0653,\n 35.2319\n ],\n [\n -113.0653,\n 34.0953\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a85eb","contributors":{"authors":[{"text":"DeWitt, Ed","contributorId":65081,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","affiliations":[],"preferred":false,"id":297159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V. 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A.","contributorId":79189,"corporation":false,"usgs":true,"family":"Lindberg","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, R. L.","contributorId":67997,"corporation":false,"usgs":true,"family":"Driscoll","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":297160,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":86211,"text":"sir20085091 - 2008 - Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada","interactions":[],"lastModifiedDate":"2020-09-09T15:32:53.196405","indexId":"sir20085091","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5091","title":"Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada","docAbstract":"Gaseous contaminants, including CFC 113, chloroform, and tritiated compounds, move preferentially in unsaturated subsurface gravel layers away from disposal trenches at a closed low-level radioactive waste-disposal facility in the Amargosa Desert about 17 kilometers south of Beatty, Nevada. Two distinct gravel layers are involved in contaminant transport: a thin, shallow layer between about 0.5 and 2.2 meters below the surface and a layer of variable thickness between about 15 and 30 meters below land surface. From 2003 to 2005, the U.S. Geological Survey used multielectrode DC and AC resistivity surveys to map these gravel layers. Previous core sampling indicates the fine-grained sediments generally have higher water content than the gravel layers or the sediments near the surface. The relatively higher electrical resistivity of the dry gravel layers, compared to that of the surrounding finer sediments, makes the gravel readily mappable using electrical resistivity profiling. The upper gravel layer is not easily distinguished from the very dry, fine-grained deposits at the surface. Two-dimensional resistivity models, however, clearly identify the resistive lower gravel layer, which is continuous near the facility except to the southeast. Multielectrode resistivity surveys provide a practical noninvasive method to image hydrogeologic features in the arid environment of the Amargosa Desert.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085091","usgsCitation":"Lucius, J.E., Abraham, J., and Burton, B., 2008, Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5091, iv, 30 p., https://doi.org/10.3133/sir20085091.","productDescription":"iv, 30 p.","onlineOnly":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":195137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5091/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.69581174850464,\n 36.761011583676904\n ],\n [\n -116.69018983840944,\n 36.761011583676904\n ],\n [\n -116.69018983840944,\n 36.76554976089907\n ],\n [\n -116.69581174850464,\n 36.76554976089907\n ],\n [\n -116.69581174850464,\n 36.761011583676904\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c02","contributors":{"authors":[{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":297192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":297194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":297193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86207,"text":"ds374 - 2008 - Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska","interactions":[],"lastModifiedDate":"2023-11-02T16:17:22.415872","indexId":"ds374","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"374","displayTitle":"Combined High-Resolution LIDAR Topography and Multibeam Bathymetry for Northern Resurrection Bay, Seward, Alaska","title":"Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska","docAbstract":"A new Digital Elevation Model was created using the best available high-resolution topography and multibeam bathymetry surrounding the area of Seward, Alaska. Datasets of (1) LIDAR topography collected for the Kenai Watershed Forum, (2) Seward harbor soundings from the U.S. Army Corp of Engineers, and (3) multibeam bathymetry from the National Oceanic and Atmospheric Administration contributed to the final combined product. These datasets were placed into a common coordinate system, horizontal datum, vertical datum, and data format prior to being combined. The projected coordinate system of Universal Transverse Mercator Zone 6 North American Datum of 1927 was used for the horizontal coordinates. Z-values in meters were referenced to the tidal datum of Mean High Water. Gaps between the datasets were interpolated to create the final seamless 5-meter grid covering the area of interest around Seward, Alaska.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds374","usgsCitation":"Labay, K., and Haeussler, P.J., 2008, Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska: U.S. Geological Survey Data Series 374, Report: iv, 7 p.; Data Sets, https://doi.org/10.3133/ds374.","productDescription":"Report: iv, 7 p.; Data Sets","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":422343,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84419.htm","linkFileType":{"id":5,"text":"html"}},{"id":11785,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/374/","linkFileType":{"id":5,"text":"html"}},{"id":195522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Seward","otherGeospatial":"Resurrection Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.50516282887597,\n 60.18078902313593\n ],\n [\n -149.50516282887597,\n 60.062484138069465\n ],\n [\n -149.29391266292805,\n 60.062484138069465\n ],\n [\n -149.29391266292805,\n 60.18078902313593\n ],\n [\n -149.50516282887597,\n 60.18078902313593\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae72d","contributors":{"authors":[{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":297181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":297180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86202,"text":"sim3000 - 2008 - Geologic map of the Denver West 30' x 60' quadrangle, north-central Colorado","interactions":[],"lastModifiedDate":"2019-11-16T18:18:13","indexId":"sim3000","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3000","title":"Geologic map of the Denver West 30' x 60' quadrangle, north-central Colorado","docAbstract":"The Denver West quadrangle extends east-west across the entire axis of the Front Range, one of numerous uplifts in the Rocky Mountain region in which Precambrian rocks are exposed. The history of the basement rocks in the Denver West quadrangle is as old as 1,790 Ma. Along the east side of the range, a sequence of sedimentary rocks as old as Pennsylvanian, but dominated by Cretaceous-age rocks, overlies these ancient basement rocks and was upturned and locally faulted during Laramide (Late Cretaceous to early Tertiary) uplift of the range. The increasingly coarser grained sediments up section in rocks of latest Cretaceous to early Tertiary age record in remarkable detail this Laramide period of mountain building. On the west side of the range, a major Laramide fault (Williams Range thrust) places Precambrian rocks over Cretaceous sedimentary rocks. The geologic history of the quadrangle, therefore, can be divided into four major periods: (1) Proterozoic history, (2) Pennsylvanian to pre-Laramide, Late Cretaceous history, (3) Late Cretaceous to early Tertiary Laramide mountain building, and (4) post-Laramide history. In particular, the Quaternary history of the Denver West quadrangle is described in detail, based largely on extensive new mapping.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3000","isbn":"9781411321625","usgsCitation":"Kellogg, K., Shroba, R.R., Bryant, B., and Premo, W.R., 2008, Geologic map of the Denver West 30' x 60' quadrangle, north-central Colorado (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3000, Report: iv, 48 p.; Map Sheet: 52 x 34 inches; Downloads Directory, https://doi.org/10.3133/sim3000.","productDescription":"Report: iv, 48 p.; Map Sheet: 52 x 34 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195146,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":110789,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84408.htm","linkFileType":{"id":5,"text":"html"},"description":"84408"},{"id":11779,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3000/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,39.5 ], [ -106,40 ], [ -105,40 ], [ -105,39.5 ], [ -106,39.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8550","contributors":{"authors":[{"text":"Kellogg, Karl S.","contributorId":89896,"corporation":false,"usgs":true,"family":"Kellogg","given":"Karl S.","affiliations":[],"preferred":false,"id":297165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shroba, Ralph R. 0000-0002-2664-1813 rshroba@usgs.gov","orcid":"https://orcid.org/0000-0002-2664-1813","contributorId":1266,"corporation":false,"usgs":true,"family":"Shroba","given":"Ralph","email":"rshroba@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, Bruce bbryant@usgs.gov","contributorId":1355,"corporation":false,"usgs":true,"family":"Bryant","given":"Bruce","email":"bbryant@usgs.gov","affiliations":[],"preferred":false,"id":297163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":297164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":86209,"text":"ofr20081222 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake","interactions":[],"lastModifiedDate":"2022-06-08T20:59:18.830262","indexId":"ofr20081222","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-1222","title":"Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards (Jones and others, 2007). In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 (M7.8) earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region. This report contains an exposure and sensitivity analysis of small businesses in terms of labor and employment statistics. Exposure is measured as the absolute counts of labor market variables anticipated to experience each level of Instrumental Intensity (a proxy measure of damage). Sensitivity is the percentage of the exposure of each business establishment size category to each Instrumental Intensity level. The analysis concerns the direct effect of the earthquake on small businesses.\r\n\r\nThe analysis is inspired by the Bureau of Labor Statistics (BLS) report that analyzed the labor market losses (exposure) of a M6.9 earthquake on the Hayward fault by overlaying geocoded labor market data on Instrumental Intensity values. The method used here is influenced by the ZIP-code-level data provided by the California Employment Development Department (CA EDD), which requires the assignment of Instrumental Intensities to ZIP codes. The ZIP-code-level labor market data includes the number of business establishments, employees, and quarterly payroll categorized by business establishment size.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081222","usgsCitation":"Sherrouse, B.C., Hester, D.J., and Wein, A., 2008, Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake (Version 1.0): U.S. Geological Survey Open-File Report 2008-1222, iv, 12 p., https://doi.org/10.3133/ofr20081222.","productDescription":"iv, 12 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":401952,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84413.htm"},{"id":11787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1222/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92675781249999,\n 32.69486597787505\n ],\n [\n -114.41162109375,\n 32.69486597787505\n ],\n [\n -114.41162109375,\n 35.15584570226544\n ],\n [\n -119.92675781249999,\n 35.15584570226544\n ],\n [\n -119.92675781249999,\n 32.69486597787505\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683953","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":297187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86204,"text":"sir20085147 - 2008 - Regression Analysis of Stage Variability for West-Central Florida Lakes","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"sir20085147","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5147","title":"Regression Analysis of Stage Variability for West-Central Florida Lakes","docAbstract":"The variability in a lake's stage depends upon many factors, including surface-water flows, meteorological conditions, and hydrogeologic characteristics near the lake. An understanding of the factors controlling lake-stage variability for a population of lakes may be helpful to water managers who set regulatory levels for lakes. The goal of this study is to determine whether lake-stage variability can be predicted using multiple linear regression and readily available lake and basin characteristics defined for each lake.\r\n\r\nRegressions were evaluated for a recent 10-year period (1996-2005) and for a historical 10-year period (1954-63). Ground-water pumping is considered to have affected stage at many of the 98 lakes included in the recent period analysis, and not to have affected stage at the 20 lakes included in the historical period analysis. For the recent period, regression models had coefficients of determination (R2) values ranging from 0.60 to 0.74, and up to five explanatory variables. Standard errors ranged from 21 to 37 percent of the average stage variability. Net leakage was the most important explanatory variable in regressions describing the full range and low range in stage variability for the recent period. The most important explanatory variable in the model predicting the high range in stage variability was the height over median lake stage at which surface-water outflow would occur. Other explanatory variables in final regression models for the recent period included the range in annual rainfall for the period and several variables related to local and regional hydrogeology: (1) ground-water pumping within 1 mile of each lake, (2) the amount of ground-water inflow (by category), (3) the head gradient between the lake and the Upper Floridan aquifer, and (4) the thickness of the intermediate confining unit. Many of the variables in final regression models are related to hydrogeologic characteristics, underscoring the importance of ground-water exchange in controlling the stage of karst lakes in Florida. Regression equations were used to predict lake-stage variability for the recent period for 12 additional lakes, and the median difference between predicted and observed values ranged from 11 to 23 percent.\r\n\r\nCoefficients of determination for the historical period were considerably lower (maximum R2 of 0.28) than for the recent period. Reasons for these low R2 values are probably related to the small number of lakes (20) with stage data for an equivalent time period that were unaffected by ground-water pumping, the similarity of many of the lake types (large surface-water drainage lakes), and the greater uncertainty in defining historical basin characteristics. The lack of lake-stage data unaffected by ground-water pumping and the poor regression results obtained for that group of lakes limit the ability to predict natural lake-stage variability using this method in west-central Florida.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085147","collaboration":"Prepared in cooperation with Southwest Florida Water Management District","usgsCitation":"Sacks, L.A., Ellison, D.L., and Swancar, A., 2008, Regression Analysis of Stage Variability for West-Central Florida Lakes: U.S. Geological Survey Scientific Investigations Report 2008-5147, iv, 34 p., https://doi.org/10.3133/sir20085147.","productDescription":"iv, 34 p.","onlineOnly":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":11781,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5147/","linkFileType":{"id":5,"text":"html"}},{"id":190664,"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\": [ [ [ -83,26.75 ], [ -83,28.75 ], [ -81.25,28.75 ], [ -81.25,26.75 ], [ -83,26.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f549","contributors":{"authors":[{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Donald L.","contributorId":98401,"corporation":false,"usgs":true,"family":"Ellison","given":"Donald","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":297173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":297171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86203,"text":"sir20085127 - 2008 - Channel Evolution on the Lower Elwha River, Washington, 1939-2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"sir20085127","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5127","title":"Channel Evolution on the Lower Elwha River, Washington, 1939-2006","docAbstract":"Analyses of historical aerial photographs of the lower Elwha River, Clallam County, Washington, reveal rates and patterns of channel change in this dammed, anabranching river between 1939 and 2006. Absolute positional changes of the active-floodplain margins, which commonly exceeded 50 m over that interval, have exceeded 400 m locally. Annualized rates of channel movement were typically ~2 to 10 m/yr; higher annualized rates over some time intervals are attributable to the formation of new channels by episodic avulsion. Channel movement by more gradual lateral meander migration was also common. Anthropogenic modification of the floodplain between the 1940s and 1980s substantially altered channel form and position. \r\n\r\nThis analysis of rates and patterns of channel change over nearly 70 years on the lower Elwha River is intended to characterize the evolution of the river throughout most of the time interval when two large dams have been in place upstream. Channel morphology and rates of channel movement are expected to change significantly in response to removal of the dams and re-establishment of the upstream sediment supply during a major river-restoration project. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085127","usgsCitation":"Draut, A.E., Logan, J., McCoy, R.E., McHenry, M., and Warrick, J., 2008, Channel Evolution on the Lower Elwha River, Washington, 1939-2006 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5127, iv, 26 p., https://doi.org/10.3133/sir20085127.","productDescription":"iv, 26 p.","onlineOnly":"Y","temporalStart":"1939-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":11780,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5127/","linkFileType":{"id":5,"text":"html"}},{"id":195262,"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\": [ [ [ -123.6,48.083333333333336 ], [ -123.6,48.166666666666664 ], [ -123.51666666666667,48.166666666666664 ], [ -123.51666666666667,48.083333333333336 ], [ -123.6,48.083333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5c2d","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":297166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoy, Randall E.","contributorId":45795,"corporation":false,"usgs":true,"family":"McCoy","given":"Randall","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHenry, Michael","contributorId":91198,"corporation":false,"usgs":true,"family":"McHenry","given":"Michael","affiliations":[],"preferred":false,"id":297169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":297168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86210,"text":"ofr20081211 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake","interactions":[],"lastModifiedDate":"2022-06-09T19:34:11.13795","indexId":"ofr20081211","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-1211","title":"Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards (Jones and others, 2007). In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 (M7.8) earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region. This report contains an exposure and sensitivity analysis of economic Super Sectors in terms of labor and employment statistics. Exposure is measured as the absolute counts of labor market variables anticipated to experience each level of Instrumental Intensity (a proxy measure of damage). Sensitivity is the percentage of the exposure of each Super Sector to each Instrumental Intensity level. The analysis concerns the direct effect of the scenario earthquake on economic sectors and provides a baseline for the indirect and interactive analysis of an input-output model of the regional economy.\r\n\r\nThe analysis is inspired by the Bureau of Labor Statistics (BLS) report that analyzed the labor market losses (exposure) of a M6.9 earthquake on the Hayward fault by overlaying geocoded labor market data on Instrumental Intensity values. The method used here is influenced by the ZIP-code-level data provided by the California Employment Development Department (CA EDD), which requires the assignment of Instrumental Intensities to ZIP codes. The ZIP-code-level labor market data includes the number of business establishments, employees, and quarterly payroll categorized by the North American Industry Classification System.\r\n\r\nAccording to the analysis results, nearly 225,000 business establishments, or 44 percent of all establishments, would experience Instrumental Intensities between VII (7) and X (10). This represents more than 4 million employees earning over $45 billion in quarterly payroll. Over 57,000 of these establishments, employing over 1 million employees earning over $10 billion in quarterly payroll, would experience Instrumental Intensities of IX (9) or X (10). Based upon absolute counts and percentages, the Trade, Transportation, and Utilities Super Sector and the Manufacturing Super Sector are estimated to have the greatest exposure and sensitivity respectively. The Information and the Natural Resources and Mining Super Sectors are estimated to be the least impacted. Areas estimated to experience an Instrumental Intensity of X (10) account for approximately 3 percent of the region's labor market.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081211","usgsCitation":"Sherrouse, B.C., Hester, D.J., and Wein, A., 2008, Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake (Version 1.0): U.S. Geological Survey Open-File Report 2008-1211, iv, 26 p., https://doi.org/10.3133/ofr20081211.","productDescription":"iv, 26 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11788,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1211/","linkFileType":{"id":5,"text":"html"}},{"id":402023,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84412.htm"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.61914062499999,\n 32.63937487360669\n ],\n [\n -114.43359375,\n 32.63937487360669\n ],\n [\n -114.43359375,\n 35.567980458012094\n ],\n [\n -119.61914062499999,\n 35.567980458012094\n ],\n [\n -119.61914062499999,\n 32.63937487360669\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68394c","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":297190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86196,"text":"sim3037 - 2008 - Bathymetric contour maps of lakes surveyed in Iowa in 2005","interactions":[],"lastModifiedDate":"2023-01-05T19:41:52.765609","indexId":"sim3037","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3037","title":"Bathymetric contour maps of lakes surveyed in Iowa in 2005","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, conducted bathymetric surveys on seven lakes in Iowa during 2005 (Arrowhead Pond, Central Park Lake, Lake Keomah, Manteno Park Pond, Lake Miami, Springbrook Lake, and Yellow Smoke Lake). The surveys were conducted to provide the Iowa Department of Natural Resources with information for the development of total maximum daily load limits, particularly for estimating sediment load and deposition rates. The bathymetric surveys provide a baseline for future work on sediment loads and deposition rates for these lakes. All of the lakes surveyed in 2005 are man-made lakes with fixed spillways.\r\n\r\nBathymetric data were collected using boat-mounted, differential global positioning system, echo depth-sounding equipment, and computer software. Data were processed with commercial hydrographic software and exported into a geographic information system for mapping and calculating area and volume. Lake volume estimates ranged from 47,784,000 cubic feet (1,100 acre-feet) at Lake Miami to 2,595,000 cubic feet (60 acre-feet) at Manteno Park Pond. Surface area estimates ranged from 5,454,000 square feet (125 acres) at Lake Miami to 558,000 square feet (13 acres) at Springbrook Lake.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3037","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Linhart, S.M., and Lund, K.D., 2008, Bathymetric contour maps of lakes surveyed in Iowa in 2005 (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3037, 7 Sheets: 30.00 x 28.50 inches, https://doi.org/10.3133/sim3037.","productDescription":"7 Sheets: 30.00 x 28.50 inches","additionalOnlineFiles":"Y","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":411449,"rank":16,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet7.pdf"},{"id":411448,"rank":15,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet6.pdf"},{"id":411447,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet5.pdf"},{"id":411446,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet4.pdf"},{"id":411445,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet3.pdf"},{"id":411444,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet2.pdf"},{"id":411443,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3037/pdf/sheet1.pdf"},{"id":111123,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84399.htm","linkFileType":{"id":5,"text":"html"}},{"id":111124,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84400.htm","linkFileType":{"id":5,"text":"html"}},{"id":111125,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84401.htm","linkFileType":{"id":5,"text":"html"}},{"id":11773,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3037/","linkFileType":{"id":5,"text":"html"}},{"id":194349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":111119,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84395.htm","linkFileType":{"id":5,"text":"html"}},{"id":111120,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84396.htm","linkFileType":{"id":5,"text":"html"}},{"id":111121,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84397.htm","linkFileType":{"id":5,"text":"html"}},{"id":111122,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84398.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.67,\n 40.33\n ],\n [\n -96.67,\n 43.5\n ],\n [\n -90.0833,\n 43.5\n ],\n [\n -90.0833,\n 40.333333333333336\n ],\n [\n -96.67,\n 40.33\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63dbda","contributors":{"authors":[{"text":"Linhart, S. M.","contributorId":102517,"corporation":false,"usgs":true,"family":"Linhart","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":297142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, K. D.","contributorId":31851,"corporation":false,"usgs":true,"family":"Lund","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":297141,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86197,"text":"ofr20081268 - 2008 - Limnological Conditions in Lake William C. Bowen and Municipal Reservoir #1, Spartanburg County, South Carolina, August to September 2005, May 2006, and October 2006","interactions":[],"lastModifiedDate":"2016-12-08T11:29:13","indexId":"ofr20081268","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","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":"2008-1268","title":"Limnological Conditions in Lake William C. Bowen and Municipal Reservoir #1, Spartanburg County, South Carolina, August to September 2005, May 2006, and October 2006","docAbstract":"The U.S. Geological Survey, in cooperation with the Spartanburg Water System, conducted three spatial surveys of the limnological conditions in Lake William C. Bowen (Lake Bowen) and Municipal Reservoir #1 (Reservoir #1), Spartanburg County, South Carolina, during August to September 2005, May 2006, and October 2006. The surveys were conducted to identify spatial distribution and concentrations of geosmin and 2-methylisoborneol, common trophic state indicators (nutrients, transparency, and chlorophyll a), algal community structure, and stratification of the water column at the time of sampling. Screening tools such as the Carlson trophic state index, total nitrogen to total phosphorus ratios, and relative thermal resistance to mixing were used to help compare data among sites and among seasons. Water-column samples were collected at two depths at each selected site: a near-surface sample collected above a 1-meter depth and a lake-bottom sample collected at a depth of 2.5 to 7 meters, depending on the depth at the site. \r\n\r\nThe degree of stratification of the water column was demonstrated by temperature-depth profiles and computed relative thermal resistance to mixing. Seasonal occurrence of thermal stratification (August to September 2005; May 2006) and de-stratification (October 2006) was evident in the depth profiles of water temperature in Lake Bowen. The most stable water-column (highest relative thermal resistance to mixing) conditions occurred in Lake Bowen during the August to September 2005 survey. The least stable water-column (destratified) conditions occurred in Lake Bowen during the October 2006 survey and Reservoir #1 during all three surveys. Changes with depth in dissolved oxygen (decreased with depth to near anoxic conditions in the hypolimnion), pH (decreased with depth), and specific conductance (increased with depth) along with thermal stratification indicated Lake Bowen was exhibiting characteristics common to both mesotrophic and eutrophic conditions.\r\n\r\nNutrient dynamics were different in Lake Bowen during the May 2006 survey from those during the August to September 2005 and October 2006 surveys. Total organic nitrogen concentrations (total Kjeldahl nitrogen minus ammonia) remained relatively constant within the surveys and ranged from 0.15 to 0.36 milligram per liter during the period of study. Nitrate was the dominant inorganic species of nitrogen during May 2006. Ammonia was the dominant species during the August to September 2005 and October 2006 surveys. During the August and September 2005 survey, ammonia was detected only in bottom samples collected in the near anoxic hypolimnion, but during the October 2006 survey, ammonia was detected under destratified conditions in surface and bottom samples. In Lake Bowen, total phosphorus concentrations in bottom samples did not exhibit the dramatic, high values during the May 2006 and October 2006 surveys (0.009 to 0.014 milligram per liter) that were identified for the August to September 2005 survey (0.022 to 0.034 milligram per liter). Chlorophyll a concentrations appeared to vary with the species of inorganic nitrogen. Greater chlorophyll a concentrations were identified in samples from the May 2006 survey (6.8 to 15 micrograms per liter) than in the August to September 2005 (1.2 to 6.4 micrograms per liter) and October surveys (5.6 to 8.2 micrograms per liter) at all sites in Lake Bowen and Reservoir #1. For the three limnological surveys, surface concentrations of chlorophyll a and total phosphorus were well below established numerical criteria for South Carolina.\r\n\r\nIn general, the computed trophic state indices indicated that mesotrophic conditions were present in Lake Bowen and Reservoir #1. The total nitrogen to total phosphorus ratios in Lake Bowen and Reservoir #1 were below 22:1 for the August to September 2005 survey, indicating a high probability of dominance by nitrogen-fixing cyanobacteria. Ratios during the May and October 2006 surveys at ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081268","collaboration":"Prepared in cooperation with the Spartanburg Water System","usgsCitation":"Journey, C.A., and Abrahamsen, T.A., 2008, Limnological Conditions in Lake William C. Bowen and Municipal Reservoir #1, Spartanburg County, South Carolina, August to September 2005, May 2006, and October 2006: U.S. Geological Survey Open-File Report 2008-1268, viii, 96 p., https://doi.org/10.3133/ofr20081268.","productDescription":"viii, 96 p.","temporalStart":"2005-08-01","temporalEnd":"2006-10-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1268.jpg"},{"id":11774,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1268/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","county":"Spartanburg County","otherGeospatial":"Lake William C. Bowen, Municipal Reservoir #1","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.24571228027345,\n 34.97993984237001\n ],\n [\n -82.24571228027345,\n 35.19120581826711\n ],\n [\n -81.73210144042969,\n 35.19120581826711\n ],\n [\n -81.73210144042969,\n 34.97993984237001\n ],\n [\n -82.24571228027345,\n 34.97993984237001\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5240","contributors":{"authors":[{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":297143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahamsen, Thomas A.","contributorId":79137,"corporation":false,"usgs":true,"family":"Abrahamsen","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297144,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86198,"text":"sir20085015 - 2008 - Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20085015","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5015","title":"Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics","docAbstract":"The glacial aquifer system in the United States is a large (953,000 square miles) regional aquifer system of heterogeneous composition. As described in this report, the glacial aquifer system includes all unconsolidated geologic material above bedrock that lies on or north of the line of maximum glacial advance within the United States. Examining ground-water quality on a regional scale indicates that variations in the concentrations of major and minor ions and some trace elements most likely are the result of natural variations in the geologic and physical environment. Study of the glacial aquifer system was designed around a regional framework based on the assumption that two primary characteristics of the aquifer system can affect water quality: intrinsic susceptibility (hydraulic properties) and vulnerability (geochemical properties). The hydrochemical regions described in this report were developed to identify and explain regional spatial variations in ground-water quality in the glacial aquifer system within the hypothetical framework context. Data analyzed for this study were collected from 1991 to 2003 at 1,716 wells open to the glacial aquifer system.\r\n\r\nCluster analysis was used to group wells with similar ground-water concentrations of calcium, chloride, fluoride, magnesium, potassium, sodium, sulfate, and bicarbonate into five unique groups. Maximum Likelihood Classification was used to make the extrapolation from clustered groups of wells, defined by points, to areas of similar water quality (hydrochemical regions) defined in a geospatial model. Spatial data that represented average annual precipitation, average annual temperature, land use, land-surface slope, vertical soil permeability, average soil clay content, texture of surficial deposits, type of surficial deposit, and potential for ground-water recharge were used in the Maximum Likelihood Classification to classify the areas so the characteristics of the hydrochemical regions would resemble the characteristics of the clusters. The result of the Maximum Likelihood Classification is a map showing five hydrochemical regions of the glacial aquifer system.\r\n\r\nStatistical analysis of ion concentrations (calcium, chloride, fluoride, magnesium, sodium, potassium, sulfate, and bicarbonate) in samples collected from wells completed in the glacial aquifer system illustrates that variations in water quality can be explained, in part, by related environmental characteristics that control the movement of ground water through the aquifer system. A comparison of median concentrations of chemical constituents in ground water among the five hydrochemical regions indicates that ground water in the Midwestern Agricultural Region, the Urban-Influenced Region, and the Western Agriculture and Grassland Region has the highest concentrations of major and minor ions, whereas ground water in the Northern and Great Lakes Forested Region and the Mountain and Coastal Forested Region has the lowest concentrations of these ions. Median concentrations of barium, arsenic, lithium, boron, strontium, and nitrite plus nitrate as nitrogen also are significantly different among the hydrochemical regions.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085015","usgsCitation":"Arnold, T., Warner, K., Groschen, G.E., Caldwell, J.P., and Kalkhoff, S.J., 2008, Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5015, viii, 84 p., https://doi.org/10.3133/sir20085015.","productDescription":"viii, 84 p.","temporalStart":"1991-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":195532,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11775,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5015/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,35 ], [ -125,50 ], [ -65,50 ], [ -65,35 ], [ -125,35 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628df0","contributors":{"authors":[{"text":"Arnold, Terri 0000-0003-1406-6054 tlarnold@usgs.gov","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":1598,"corporation":false,"usgs":false,"family":"Arnold","given":"Terri","email":"tlarnold@usgs.gov","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":297146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groschen, George E.","contributorId":99132,"corporation":false,"usgs":true,"family":"Groschen","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, James P.","contributorId":46599,"corporation":false,"usgs":true,"family":"Caldwell","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":297148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297147,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86200,"text":"ds341 - 2008 - Total Mercury, Methylmercury, and Ancillary Water-Quality and Streamflow Data for Selected Streams in Oregon, Wisconsin, and Florida, 2002-06","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"ds341","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"341","title":"Total Mercury, Methylmercury, and Ancillary Water-Quality and Streamflow Data for Selected Streams in Oregon, Wisconsin, and Florida, 2002-06","docAbstract":"Field and analytical methods, mercury and ancillary water-quality data, and associated quality-control data are reported for eight streams in Oregon, Wisconsin, and Florida from 2002 to 2006. The streams were sampled as part of a U.S. Geological Survey National Water-Quality Assessment Program study of mercury cycling, transport, and bioaccumulation in urban and nonurban stream ecosystems that receive mercury predominantly by way of atmospheric deposition.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds341","usgsCitation":"Brigham, M.E., Duris, J.W., Wentz, D.A., Button, D.T., and Chasar, L.C., 2008, Total Mercury, Methylmercury, and Ancillary Water-Quality and Streamflow Data for Selected Streams in Oregon, Wisconsin, and Florida, 2002-06 (Version 1.0): U.S. Geological Survey Data Series 341, viii, 12 p., https://doi.org/10.3133/ds341.","productDescription":"viii, 12 p.","temporalStart":"2002-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":194871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11777,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/341/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629da2","contributors":{"authors":[{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":297153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentz, Dennis A. dawentz@usgs.gov","contributorId":1838,"corporation":false,"usgs":true,"family":"Wentz","given":"Dennis","email":"dawentz@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":297151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chasar, Lia C.","contributorId":91196,"corporation":false,"usgs":true,"family":"Chasar","given":"Lia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297155,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86199,"text":"ofr20081255 - 2008 - Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"ofr20081255","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","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":"2008-1255","title":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2007","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25 to 40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompass the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin are currently (2007) obtained solely from ground-water resources. An increase of about 20 percent in the population from 1990 to 2000 also resulted in an increased demand for water. A network of wells was established to monitor changes in ground-water levels throughout the basin from April 1982 through September 1983. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2007), the network consists of 131 wells and piezometers. This report presents water-level data collected by U.S. Geological Survey personnel at 131 sites through water-year 2007. Data from five sites (Sites 9, 10, 31, 71 and 78) were not measured during the 2007 water-year, but are included in this report because recent data are useful for comparison and (or) data have been collected that will be included in the water-year 2008 report.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081255","collaboration":"Prepared in cooperation with the City of Albuquerque","usgsCitation":"Beman, J.E., 2008, Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2007 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1255, iv, 32 p., https://doi.org/10.3133/ofr20081255.","productDescription":"iv, 32 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":195136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11776,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1255/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34 ], [ -107.5,36 ], [ -106,36 ], [ -106,34 ], [ -107.5,34 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685817","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}